From 82d4489c20d1851cbdb188f7e058df58fb3ffea3 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Mon, 25 Mar 2024 20:31:02 +0100 Subject: [PATCH 01/25] Add tests for current read_seq_len behavior --- tests/data/seq-len/sequence.fasta | 135 +++++++++++ tests/data/seq-len/sequence.gb | 372 +++++++++++++++++++++++++++++ tests/data/seq-len/sequence.gff3 | 28 +++ tests/testthat/test-read_seq_len.R | 22 ++ 4 files changed, 557 insertions(+) create mode 100644 tests/data/seq-len/sequence.fasta create mode 100644 tests/data/seq-len/sequence.gb create mode 100644 tests/data/seq-len/sequence.gff3 create mode 100644 tests/testthat/test-read_seq_len.R diff --git a/tests/data/seq-len/sequence.fasta b/tests/data/seq-len/sequence.fasta new file mode 100644 index 0000000..89f269a --- /dev/null +++ b/tests/data/seq-len/sequence.fasta @@ -0,0 +1,135 @@ +>Z92525.1 Prochlorococcus marinus ppeC gene for phycoerythrin class III gamma chain +AAGCTTTGTCAAGAGCAATGGGTAAATTAATTGGTGGTGGATTGTTAGACTTAGGAAGAATTATAGGGGG +GAACGATAACTCTCTATTTGCATTTTCTTTTGTATTCTCAATAGAAATAATCATAATTATAATCTCTATA +TTTATACTTAATAAAGTGAGTATAAGTAAATTCAAGAATGAAACATCTGCTAAAATGAGCGAGATCCTAA +TGTCTGACCTAGACAATTGATAATCTTTTAAAATGAAGACTAGCAAAGCAGACTTTATTTCTAGACATTC +CCTAGAAGTTAAACTTTCTGATATATCGAAAAGAGAATCATTTAGCTACGGCAAAACACGCGTTTCTGGT +AGCAAGCAAACCACTTATATAATGCACTCTAGAAGCGTTTATATGCCCGGCCAGGAAAAACTTTTTACCA +GCAATTATCCTGCAAACCCTAATCAAGTAATCGACAAAGAAATGATTCAGCTAAGAAATATTTATAAGCG +AAAGAATTATATAAACTCAAAGCAACCTATTGGCTCCAAAACAATTCATAGATCTCAAGATGCATTTACT +TATAAGAGGTTTGCCCCTATCAGTGATGAAGCACTTGAGATTGCTGTTGTAGCAGCATATAAACAAATCT +TTGGCAACTTAAATCCAATGGAAAGCGAACGTCCTAAAGAATTAGAAAGAAGATTAAGAAATGGGGACAT +CCCAATTAGAGAATTTATTCGATCACTTGCTAAGTCAGAATTTTATAGTCGTCATTTTATTGAAAGAGTA +AGTCAAATAAGATCTGTCGAGCTTAGATTTATGCATCTATTAGGGCGACCACTTAAGGATGAGTCAGAAC +TAATCAATAATATAAATTTTATAAGAGAAAAAGGCTTTGAATCTCATATTGATTCCTTAATGAATTCTTT +AGAGTATGAAGAACACTTTGGAGAAGACATAGTGCCATTTCAAAGGCACTGGAATTCACCCTGTGGCAGT +ACAACATCAAGCTTTATAAAGACAGCTTTATTCAGAAAAGGTTTTGCTTCCAGTGATAACGTAATTTATA +AGTAGAGCTTGTCTATTATGACTATAAAAAGGCCTCCTTCTAACGAAAGCCCAGGTGATCA + +>U44977.1 Prochlorococcus marinus DnaA (dnaA) gene, complete cds +GGATCCTTCTACGGAGGCAACTTTGCAAAGAGATTTAAATAGAGTTCTTGAGAAAAGGACAGCATTAGTT +ATCGCTCATCGCCTGGCAACAATTGAATCATCTGATCGAATTTTAGTGATGAAAAAAGGTGAGCTAATAG +AACAAGGAAGTCACCAAGAGCTTCGCTCCCTAGGAGGGTTGTACTCTCAATTAGCAAAATTGCAGGAACA +AGGGCTAGCCAAATTTTAATGGGGGTAGTTTTTTAATATGATCAAGAAGATTGGAGAAAGAAAGATAAGT +TTCTCTGGGTGGTCAAATGGCCGTTCGGGTAGTAATGATTTTCGAGAAATGTATGGCTCAGATGCATGTG +AATGTATCTCTTCTAATGATCAATATACGTTTGTTTTTAGCCAGGTTAGAACTTTAGATTTAATAGAACT +GGAACAGTTACTTCAATCAGTTGGATGGAGCAGAAGACCAATTAGAAGAGTTAAAAAAGCATTAGATAAT +AGTTTGTTAAAAGTTGGGGTGTGGCAGCATGATCCAAAGTTTCCCCGTTTAATAGGCTTTGCAAGATGTA +CAGGTGATGAGGTTATTCAAGCAACTATTTGGGACGTTGCCATACACCCTGTTTACCAAGGCTTTGGCTT +AGGAAAAGAACTTATGTCATATGTTCTTCGCAGTCTTAAGGACAAGGGAATAGAAAGAGTTGTTTTGTTT +GCAGACCCAGGAGTAATAAGTTTTTATCAGAGTCAAGGCTGGACTCTTGAGCCAAAAGGCAATCGTTGTG +CTTTTTGGTATGCGAACTAGTTTGAAAATGCTTTTGATTTAATTTTCTGCATAATACCTTTTGGCCAATT +CATTAATATTTGCACCTTTTCTCCATTGATACCTGAGTAGAGCATTTTTAATTGCATTTTTAATAATATT +ACTACCAAGATATTTTCTTGAATTTGTTTCAATACCACTTCCCAAAGATCGAAGGGTTGTTATTTGTTTA +AGACGTGTAATTAGATCCAGGTCTTCCATTATAGGAATTTCTTTATAGCCTCCAATTCGTGAATAAAGCT +CTTTACTTAATAATAGCCCTTGATCTCCATAAGGGCTATTAAATAAATTACTTCTGATATAAACTGCCAA +TTCCAATATAAACCATATAAAGCCTTTCTTCTCTGTCTTAAAATTAAAATACCAGGCGTATTGCTTGCTT +AAAGGATTACTTATTAAATTAATAATTTTGGATTTCCAGTTATATTTTAATCGGCTATCTGCATGTAAAA +AAAACAGCCAATTACCATTGGCTGACATAGCACCTGTATGCAGTTGTTCGCCTCTATTCTTATTGGTCAT +TGCAATAACCTTTGCTCCGCCAATTTTTGCTACCAGTGTGGTTGAGTCAGTACTTCCACAATCGATAACA +ATCACCTCTAAACATTGAGTATATGATCTTATATCTGCTAGTAGAATAGGTAAATTTCTCGCCTCGTTAA +TTGTTGGTATGATTATGCTAAGTTTGTTATCTTTTTTTATATGTTCCATAGGCTTAAGTCTGTTATAAAG +TCTAAGTCATCTTTTCTATTTAGCAATTTATAGTTAACTCCTTCTTCTTTTGCTTTCCGAAGAGTTTCTT +TAAAAACAGAAGTAGTGCCCCATTTAATTCCAGAGAAAGGCCAAGAAATGACTGGGGAAAGGATGTTCTT +TGAAAACCCTATTAACCAATACCCGCCATCATTTGCAGGTCCAATTACTAGGTCATTATTTTTCAAGGAA +TTTAAAGCAGAATCTATATCTGATGTGCAAAGGCTTGGGACATCTGTTCCAATTAAAATCGTATCCCTTG +ATGATTGTGATTTGGATGTACTTTTTCTTTGAGCTAAAACTAATTGTCTTTTCATTTTAAGTCCTAGGTT +CCCAGATCCTTGAGAGCAAGCCAATGAAAACCCTTCATTTCTCGCCCAAGCAGAAACTCTTTGATTGCCA +ATGCCATCGATAGCTAATTTGGTTTCTATTAGCCCTTTTAATTTGATTGCTTTTGCTACGGCAATTGTGT +GATGAATAAGCCTTTGTTGTATTAAAGCTGCTCTGTAAGGTCCAATGTCTTTGGCAAGTCTTGTTTTGCA +TCGACTTGGTGCTGGCCATCGGGTCATTAAGACAAGGATGGGCTTAAGCATGGATTGTTTTTTAGTGGGT +TATTTTTGTTGTTACGGGGATTGCTGAAAGATTTTCATTGCATCCTGTATAGCTTTAATAAGCTTCATTA +CACAACTATCTTAGTCGCTTTGCTCTAATCCCTCTGAATGACTTGGTGGTTGGAAAGAAGTTGAGTAATA +ATAATTAAAAACCTGATTTTCTGATTTAACACTGCTTTATCCTTTAACCATGCTTAGATTCAACCTCTAG +CTCTTCAACGTGAAAAGGTGGACTAATGCTTGAAGCGTCTTGGGAAAAAGTTCAGAGTTCTCTAAAACAA +AATCTAAGTAAGCCATCATATGAAACTTGGATACGTCCTACTGAGTTCAGTGGTTTTAAAAATGGAGAGC +TGACTTTAATTGCTCCAAATAGCTTTTCCAGTGCATGGTTGAAAAATAATTATTCTCAGACAATTCAAGA +GACTGCTGAAGAAATTTTTGGAGAACCTGTAACTGTTCATGTAAAGGTGAAAGCCAATGCAGAGAGTTCA +GATGAACATTATTCTTCTGCTCCCATCACCCCTCCCTTAGAGGCTTCGCCTGGGTCAGTTGACTCTTCAG +GCTCTTCTTTGCGATTATCTAAAAAGACCCTCCCGTTACTTAATTTAAGATATGTTTTCAATCGATTTGT +TGTAGGACCTAATAGTCGCATGGCTCATGCAGCAGCTATGGCTGTAGCAGAGTCTCCAGGACGCGAATTT +AATCCATTGTTCATATGTGGCGGTGTTGGTTTAGGTAAGACACATTTGATGCAAGCAATTGGCCATTATC +GCTTAGAAATTGATCCAGGTGCAAAAGTCTCTTATGTGTCTACTGAAACTTTTACCAATGATTTGATCTT +GGCGATTAGGCAAGATCGAATGCAGGCTTTTAGAGATAGATATAGAGCTGCAGATTTGATACTTGTTGAT +GATATTCAATTTATTGAAGGAAAAGAATATACCCAAGAAGAGTTTTTTCATACTTTTAATGCCTTGCATG +ATGCAGGAAGTCAAATTGTTCTTGCTAGTGACAGACCTCCTAGCCAGATACCACGACTTCAAGAACGTTT +AATGTCAAGATTTTCAATGGGGTTGATTGCTGATGTTCAAGCACCTGATTTAGAGACAAGGATGGCGATA +TTGCAGAAGAAAGCTGAACATGAACGCGTAGGACTTCCAAGAGATTTGATTCAATTTATTGCAGGCCGAT +TTACTTCAAATATTCGTGAATTAGAAGGAGCACTTACCAGGGCTATTGCATTTGCATCTATTACAGGCCT +TCCAATGACAGTAGATTCAATTGCACCAATGTTAGATCCAAACGGTCAAGGTGTAGAAGTAACTCCAAAG +CAGGTACTAGATAAAGTTGCAGAAGTCTTTAAGGTTACTCCTGATGAAATGAGAAGTGCAAGTAGACGTA +GACCTGTAAGCCAGGCTAGGCAAGTAGGTATGTATTTAATGCGTCAAGGTACTAATTTAAGTTTGCCAAG +AATTGGTGATACGTTTGGAGGAAAAGATCACACAACTGTGATGTATGCAATTGAGCAAGTAGAAAAGAAA +TTGTCTAGTGACCCTCAGATTGCAAGCCAAGTTCAAAAAATCAGAGATTTGTTGCAGATAGACTCTCGCC +GTAAACGTTAGCTAATTTGAGCTATTTCAATTATCAATAGCTTTAGAAAAATAAATGGGATTTTGATCAA +AGCGATGTCTCGTTGGGAGAGGAGCTCCTTTTTCGGATCCATCTATTTGAGCAGTCTTTTCAAGTGCTTT +GCGGAATTCTCTGGCTGCAAGTAGAGGCATGTCTCTAGGGACTGATACCCTGTCCCTTAAATATCTTAAT +CCCACAGCACTGCCTTGAGTGGGGATGAAATCTTGCTTGGAGATCATATAGCTAAGAGCTGCTCTTAATG +GCTGATCAAAAGATTCTGGCCCAAGAGGATTAACGGCTTTGATGCCTTCTCGATGTTTTAATACACGTGT +TAAAGCAATTGCAGAAGGAAGAGTTTTCGTTGAAGGTTCGAAGGTTGTTTCATTTTCTCCAAGCCCGTTA +CCAATATCGATTTGATTTGAGAAAGTTTCTTGAAGGACATTTTTGTCTAACCAACACCCTCCCATTTGAG +GAGGCAGATCATGGGAATGGGTGTGGAAGTCACCTTGAGTGCCCCTATACTCTGGAAGTATTTCTAGCGA +TTTGAACCATCTGTCAATATTGGGAAATTCTTTCCTTATCTTTATTCCTTTGTAGTAGGCTAAAGAGGCA +TTCATTCGTTCTAAATAGGGTACAAAAGCAACGTCTATACTTCCTGGCAAAGATTCTAGAGAATTACTAA +TTGATGGGTCTATCCAAGGGGAATTTGTTTGAGATAATCGATTATCTACTTCTTTTGCAATAAATTTGAA +TTGCTTTTCTCTTTCTATTGATTGGACTTTGCTAAATGATGGATTACACAACCATATGCACCAAGATCTA +AAAAGATTTCTTTCAAGATTCCGCAAATCAATTATTTTAGGATGCTCCATTTGCATCCCTAACGGGCCAA +AAGTTTTTTCTAAGTGCAAAAGAATTTTATCGCTTTCAGTTATGAGCTCTTGATCTATTTCTATCGCTGG +GAAAAGGCCAGAGGGAACTTTTTTTAGATACCATTTTTCTTTTTCTCCATAACACCGCATGGTTACTTTC +TTGACTGCATAAGGTATTTTCTTCAATTCCAACCACAACCATACTTTTTGACAATATGGACACCATGCAT +GCTTATCTCTAAAAAACACTACTCTTATCGAAGACTTGTTCTGGCCAAATAGTCTGAGCAAAGAGTATGA +ATTGTTAGGGCCATTTATTAGATCTGATTGATTGTGAGCGAATTTTGTAAGCTCTTCCCAACTGAGTGCG +GCTATAGCTTCTTTCATGAATGAGTAGGAGAATGAAGTGAGAGATCCCTAGGATTATTTTGAATTATTCT +TTTGACTTAATTGTATTAGGTGCTGGTTCAGGTGGATTAGCTGCTGCTAAAAGAGCAGCAAGTTATGGAG +CCAGAGTTGCAATCGTAGAAGGAGATCGTGTTGGAGGTACATGTGTTATAAGAGGTTGCGTCCCTAAAAA +GTTGCTGGTATATGGGTCTCAATATGGTGAATATCTAAAGAATGCCCCAAGCTT + +>AF354644.1 Prochlorococcus marinus psb operon, complete sequence +CCGACTTGGTTCTTGAATTGTTAAAGTCTCAGGCGTATACCAAAAGCTCAGCAACGTTGCTCTCATGACG +ATAGCTGTTGGTAGCGCCCAAGATAGAAGATGGTTTGACGTCCTTGATGACTGGCTTAAGCGCGACCGAT +TCGTATTTGTTGGTTGGTCTGGTCTCCTTCTGTTCCCTACTGCCTATCTGGCTATCGGTGGATGGTTTTT +AGGCACAACCTTCGTAACCTCCTGGTACACCCATGGTGTAGCCAGTTCTTACCTAGAAGGATGTAATTTC +CTTACTGCCGCTGTTAGTACCCCTGGCGACGCTATGGGGCACAGTCTTTTATTCCTATGGGGACCAGAGG +CACAAGGCAGTCTTGTTCGTTGGCTTCAACTAGGCGGACTATGGAATTTTGTAGTCCTTCATGGTGCTTT +CAGCCTGATTGGCTTCATGCTGCGTCAGTTTGAAATCGCAAGACTTGTTGGTATCAGGCCTTACAACGCA +CTTGCTTTTTCTGCAGTTATAGCTGTTTTCACAGCATGTTTCCTTATCTATCCGTTAGGGCAACACAGCT +GGTTTTTTGCTCCTTCTTTTGGGGTTGCAGCTATTTTCAGATTCATACTATTTATTCAAGGTTTCCACAA +CATCACATTGAATCCTTTTCACATGATGGGTGTTGCAGGAATTCTTGGTGGTGCTCTTCTATGTGCTATT +CACGGTGCAACCGTCCAAAATACACTTTATGAAGACACCAGTGTTTATTCAGGTGGTAAAGCTCAAAGTA +CAACTTTCAGAGCTTTTGATCCTACCCAGGAAGAAGAGACGTACTCAATGATTACGGCTAATAGATTCTG +GAGTCAGATCTTTGGAATAGCTTTTTCTAACAAGCGCTTCCTTCACTTCTTAATGCTCTTTGTACCTGTA +ATGGGTATGTGGTGCGCCGCAATTGGCATTGTTGGTCTTGCTCTTAATCTAAGAGCATATGACTTCGTTA +GCCAAGAGATTAGAGCTGCTGAAGACCCAGAGTTTGAAACGTTCTATACAAAAAACATACTTTTGAATGA +AGGTATGAGAGCCTGGATGTCTTCTGTGGATCAACCACACGAAAACTTTGTATTCCCAGAGGAGGTACTC +CCACGTGGAAACGCCCTTTAATAATCTTTTAAAAGCTCCTAACCAAAGTATTGAAGAAACTGGTTATGCC +TGGTATGTAGGCAATGCTCGTTTAATTAATCTTTCTGGAAAACTACTTGGAGCCCACATTGCACATACAG +GACTAATGGTGTTCTGGGCTGGAGCAATGATGCTTTATGAAGTGAGTCATTTCACTTTTGATAAGCCAAT +GTGGGAGCAGGGCTTAATACTTCTTCCCCATGTAGCCATGTTTGGCTATGGCATAGGCCCAGGTGGAGAA +GTTATTGACGTAATGCCATATTTTCAGGCTGGAGTTATTCACCTAATTGCTTCAGCAGTTCTTGGATTTG +GAGGAATTTATCATTCTCTTGCAGGTCCAGAGAAATTAGAAGAAGAATTTCCTTTCTTCTCAACTGATTG +GCGAGATAAGGACCAAATGACAACCATCCTTGGTCGTCATTTATGTGTTCTTGGGCTAGGTGCAGTAGCT +TTTGCTGTCAACTGGCAATTCCTTGGCGGTCTTTATGACACATGGGCTCCAGGCGGTGGTGAAGTTCGCT +TGATTACACCAACTACAGATCCAGGAATTATTTTTGGATACCTTTTCCAAACCCCATGGGGTGGAGGAGG +AAATATGGTAGGTGTTAACTCAGTTGAAGACATTGTAGGCGGGCACTATTACCTAGGAATTATTGAACTC +ATAGGTGGACATTTCCATATGCAAACCAAGCCATTTGGCTGGGCTCGCAGGGCTTTTATTTGGAATGGAG +AAGCTTTGCTCTCTTATGCCCTTGGTGGTTTATGTGTAGCAAGCTTTTACGCCTCAGTATTCGTTTGGTT +CAATAACACTGCTTACCCATCAGAGTTCTACGGACCAACTAATGCAGAAGCATCTCAGGCACAAAGTTTT +ACTTTCCTTGTAAGAGACCAAAGAATAGGTGCAAATGTCGGGACTACCATGGGACCAACTGGTTTAGGTA +AATACCTAATGAGATCACCAACAGGAGAAATCATCTTTGGTGGTGAAACAATGCGTTTCTGGGACTTCCG +TGGACCTTGGCTAGAACCTCTAAGAGGAGAGAATGGATTAAGTCTGGATAAAATCCAAAACGATATTCAG +CCTTGGCAAGTTCGCCGCGCTGCTGAATATATGACTCATGCTCCAAATGCTTCTATCAACTCTGTTGGTG +GAATCATTACTGAGCCTAATGCTGTCAATTTCGTTAACCTTCGTCAGTGGCTTGCATCAGCTCATTTCTT +CTTAGGATGGTTTACATTTGTAGGTCATCTTTGGCATGCTGGTCGTGCTAGAGCTGCAGCCGGTGGTTTT +GAGAAAGGAATTGATCGCAGAACTGAGCCTGCTCTTTCCATGTCTGATCTAGACTAAGACTAAGTTAATA +TTTAGTTTTTTCTTAAAAGAAAAGCCCTCAATGAAAATTGAGGGCTT + diff --git a/tests/data/seq-len/sequence.gb b/tests/data/seq-len/sequence.gb new file mode 100644 index 0000000..a2b84fc --- /dev/null +++ b/tests/data/seq-len/sequence.gb @@ -0,0 +1,372 @@ +LOCUS Z92525 1111 bp DNA linear BCT 10-MAY-1999 +DEFINITION Prochlorococcus marinus ppeC gene for phycoerythrin class III gamma + chain. +ACCESSION Z92525 +VERSION Z92525.1 +KEYWORDS phycoerythrin class III gamma chain; ppeC gene. +SOURCE Prochlorococcus marinus + ORGANISM Prochlorococcus marinus + Bacteria; Cyanobacteriota; Cyanophyceae; Synechococcales; + Prochlorococcaceae; Prochlorococcus. +REFERENCE 1 + AUTHORS Hess,W.R. and Partensky,F. + TITLE Analysis of a phycobiliprotein gene cluster in Prochlorococcus + marinus CCMP 1375: Identification of a putative linker polypeptide + and the phylogeny of Prochlorococcus phycoerythrins + JOURNAL (in) Peschek,A., Loffelhardt,W. and Schmetterer,G. (Eds.); + THE PHOTOSYNTHETIC PROKARYOTES: 751-761; + Plenum Press New York, USA (1999) +REFERENCE 2 + AUTHORS Hess,W.R., Steglich,C., Lichtle and Partensky,F. + TITLE Phycoerythrins of the oxyphotobacterium Prochlorococcus marinus are + associated to the thylakoid membranes and are encoded by a single + large gene cluster + JOURNAL Unpublished +REFERENCE 3 (bases 1 to 1111) + AUTHORS Hess,W.R. + TITLE Direct Submission + JOURNAL Submitted (03-MAR-1997) Hess W. R., Humboldt-University, + Biology/Genetics, Chausseestr: 117, Berlin D-10115, Germany +FEATURES Location/Qualifiers + source 1..1111 + /organism="Prochlorococcus marinus" + /mol_type="genomic DNA" + /strain="CCMP 1375" + /type_material="type strain of Prochlorococcus marinus" + /db_xref="taxon:1219" + /clone="CSSG10 and CSSG6" + /clone_lib="cosmid library in Supercos 1" + gene 243..1055 + /gene="ppeC" + CDS 243..1055 + /gene="ppeC" + /function="linker polypeptide" + /note="putative rod linker polypeptide associates with + class III phycoerythrin alpha and beta chains" + /codon_start=1 + /transl_table=11 + /product="phycoerythrin class III gamma chain" + /protein_id="CAB06827.2" + /db_xref="GOA:O06838" + /db_xref="InterPro:IPR001297" + /db_xref="InterPro:IPR016470" + /db_xref="UniProtKB/TrEMBL:O06838" + /translation="MKTSKADFISRHSLEVKLSDISKRESFSYGKTRVSGSKQTTYIM + HSRSVYMPGQEKLFTSNYPANPNQVIDKEMIQLRNIYKRKNYINSKQPIGSKTIHRSQ + DAFTYKRFAPISDEALEIAVVAAYKQIFGNLNPMESERPKELERRLRNGDIPIREFIR + SLAKSEFYSRHFIERVSQIRSVELRFMHLLGRPLKDESELINNINFIREKGFESHIDS + LMNSLEYEEHFGEDIVPFQRHWNSPCGSTTSSFIKTALFRKGFASSDNVIYK" +ORIGIN + 1 aagctttgtc aagagcaatg ggtaaattaa ttggtggtgg attgttagac ttaggaagaa + 61 ttataggggg gaacgataac tctctatttg cattttcttt tgtattctca atagaaataa + 121 tcataattat aatctctata tttatactta ataaagtgag tataagtaaa ttcaagaatg + 181 aaacatctgc taaaatgagc gagatcctaa tgtctgacct agacaattga taatctttta + 241 aaatgaagac tagcaaagca gactttattt ctagacattc cctagaagtt aaactttctg + 301 atatatcgaa aagagaatca tttagctacg gcaaaacacg cgtttctggt agcaagcaaa + 361 ccacttatat aatgcactct agaagcgttt atatgcccgg ccaggaaaaa ctttttacca + 421 gcaattatcc tgcaaaccct aatcaagtaa tcgacaaaga aatgattcag ctaagaaata + 481 tttataagcg aaagaattat ataaactcaa agcaacctat tggctccaaa acaattcata + 541 gatctcaaga tgcatttact tataagaggt ttgcccctat cagtgatgaa gcacttgaga + 601 ttgctgttgt agcagcatat aaacaaatct ttggcaactt aaatccaatg gaaagcgaac + 661 gtcctaaaga attagaaaga agattaagaa atggggacat cccaattaga gaatttattc + 721 gatcacttgc taagtcagaa ttttatagtc gtcattttat tgaaagagta agtcaaataa + 781 gatctgtcga gcttagattt atgcatctat tagggcgacc acttaaggat gagtcagaac + 841 taatcaataa tataaatttt ataagagaaa aaggctttga atctcatatt gattccttaa + 901 tgaattcttt agagtatgaa gaacactttg gagaagacat agtgccattt caaaggcact + 961 ggaattcacc ctgtggcagt acaacatcaa gctttataaa gacagcttta ttcagaaaag + 1021 gttttgcttc cagtgataac gtaatttata agtagagctt gtctattatg actataaaaa + 1081 ggcctccttc taacgaaagc ccaggtgatc a +// + +LOCUS PMU44977 5304 bp DNA linear BCT 05-MAY-1998 +DEFINITION Prochlorococcus marinus DnaA (dnaA) gene, complete cds. +ACCESSION U44977 +VERSION U44977.1 +KEYWORDS DnaA. +SOURCE Prochlorococcus marinus + ORGANISM Prochlorococcus marinus + Bacteria; Cyanobacteriota; Cyanophyceae; Synechococcales; + Prochlorococcaceae; Prochlorococcus. +REFERENCE 1 (bases 1 to 5304) + AUTHORS Richter,S., Hess,W.R., Krause,M. and Messer,W. + TITLE Unique organization of the dnaA region from Prochlorococcus marinus + CCMP1375, a marine cyanobacterium + JOURNAL Mol. Gen. Genet. 257 (5), 534-541 (1998) + PUBMED 9563839 +REFERENCE 2 (bases 1 to 5304) + AUTHORS Richter,S. + TITLE Direct Submission + JOURNAL Submitted (02-JAN-1996) Stefan Richter, Max-Planck-Institut fuer + molekulare Genetik, Ihnestr. 73, Berlin D-14195, Germany +FEATURES Location/Qualifiers + source 1..5304 + /organism="Prochlorococcus marinus" + /mol_type="genomic DNA" + /strain="CCMP1375" + /type_material="type strain of Prochlorococcus marinus" + /db_xref="taxon:1219" + CDS 248..790 + /note="orf180" + /codon_start=1 + /transl_table=11 + /product="unknown" + /protein_id="AAC15819.1" + /translation="MIKKIGERKISFSGWSNGRSGSNDFREMYGSDACECISSNDQYT + FVFSQVRTLDLIELEQLLQSVGWSRRPIRRVKKALDNSLLKVGVWQHDPKFPRLIGFA + RCTGDEVIQATIWDVAIHPVYQGFGLGKELMSYVLRSLKDKGIERVVLFADPGVISFY + QSQGWTLEPKGNRCAFWYAN" + CDS complement(809..1519) + /note="orf236" + /codon_start=1 + /transl_table=11 + /product="unknown" + /protein_id="AAC15820.1" + /translation="MEHIKKDNKLSIIIPTINEARNLPILLADIRSYTQCLEVIVIDC + GSTDSTTLVAKIGGAKVIAMTNKNRGEQLHTGAMSANGNWLFFLHADSRLKYNWKSKI + INLISNPLSKQYAWYFNFKTEKKGFIWFILELAVYIRSNLFNSPYGDQGLLLSKELYS + RIGGYKEIPIMEDLDLITRLKQITTLRSLGSGIETNSRKYLGSNIIKNAIKNALLRYQ + WRKGANINELAKRYYAEN" + CDS complement(1507..2151) + /note="orf214" + /codon_start=1 + /transl_table=11 + /product="unknown" + /protein_id="AAC15821.1" + /translation="MLKPILVLMTRWPAPSRCKTRLAKDIGPYRAALIQQRLIHHTIA + VAKAIKLKGLIETKLAIDGIGNQRVSAWARNEGFSLACSQGSGNLGLKMKRQLVLAQR + KSTSKSQSSRDTILIGTDVPSLCTSDIDSALNSLKNNDLVIGPANDGGYWLIGFSKNI + LSPVISWPFSGIKWGTTSVFKETLRKAKEEGVNYKLLNRKDDLDFITDLSLWNI" + gene 2406..3791 + /gene="dnaA" + CDS 2406..3791 + /gene="dnaA" + /function="replication initiation" + /codon_start=1 + /transl_table=11 + /product="DnaA" + /protein_id="AAC15822.1" + /translation="MLEASWEKVQSSLKQNLSKPSYETWIRPTEFSGFKNGELTLIAP + NSFSSAWLKNNYSQTIQETAEEIFGEPVTVHVKVKANAESSDEHYSSAPITPPLEASP + GSVDSSGSSLRLSKKTLPLLNLRYVFNRFVVGPNSRMAHAAAMAVAESPGREFNPLFI + CGGVGLGKTHLMQAIGHYRLEIDPGAKVSYVSTETFTNDLILAIRQDRMQAFRDRYRA + ADLILVDDIQFIEGKEYTQEEFFHTFNALHDAGSQIVLASDRPPSQIPRLQERLMSRF + SMGLIADVQAPDLETRMAILQKKAEHERVGLPRDLIQFIAGRFTSNIRELEGALTRAI + AFASITGLPMTVDSIAPMLDPNGQGVEVTPKQVLDKVAEVFKVTPDEMRSASRRRPVS + QARQVGMYLMRQGTNLSLPRIGDTFGGKDHTTVMYAIEQVEKKLSSDPQIASQVQKIR + DLLQIDSRRKR" + CDS complement(3807..5057) + /note="orf416" + /codon_start=1 + /transl_table=11 + /product="unknown" + /protein_id="AAC15823.1" + /translation="MKEAIAALSWEELTKFAHNQSDLINGPNNSYSLLRLFGQNKSSI + RVVFFRDKHAWCPYCQKVWLWLELKKIPYAVKKVTMRCYGEKEKWYLKKVPSGLFPAI + EIDQELITESDKILLHLEKTFGPLGMQMEHPKIIDLRNLERNLFRSWCIWLCNPSFSK + VQSIEREKQFKFIAKEVDNRLSQTNSPWIDPSISNSLESLPGSIDVAFVPYLERMNAS + LAYYKGIKIRKEFPNIDRWFKSLEILPEYRGTQGDFHTHSHDLPPQMGGCWLDKNVLQ + ETFSNQIDIGNGLGENETTFEPSTKTLPSAIALTRVLKHREGIKAVNPLGPESFDQPL + RAALSYMISKQDFIPTQGSAVGLRYLRDRVSVPRDMPLLAAREFRKALEKTAQIDGSE + KGAPLPTRHRFDQNPIYFSKAIDN" +ORIGIN + 1 ggatccttct acggaggcaa ctttgcaaag agatttaaat agagttcttg agaaaaggac + 61 agcattagtt atcgctcatc gcctggcaac aattgaatca tctgatcgaa ttttagtgat + 121 gaaaaaaggt gagctaatag aacaaggaag tcaccaagag cttcgctccc taggagggtt + 181 gtactctcaa ttagcaaaat tgcaggaaca agggctagcc aaattttaat gggggtagtt + 241 ttttaatatg atcaagaaga ttggagaaag aaagataagt ttctctgggt ggtcaaatgg + 301 ccgttcgggt agtaatgatt ttcgagaaat gtatggctca gatgcatgtg aatgtatctc + 361 ttctaatgat caatatacgt ttgtttttag ccaggttaga actttagatt taatagaact + 421 ggaacagtta cttcaatcag ttggatggag cagaagacca attagaagag ttaaaaaagc + 481 attagataat agtttgttaa aagttggggt gtggcagcat gatccaaagt ttccccgttt + 541 aataggcttt gcaagatgta caggtgatga ggttattcaa gcaactattt gggacgttgc + 601 catacaccct gtttaccaag gctttggctt aggaaaagaa cttatgtcat atgttcttcg + 661 cagtcttaag gacaagggaa tagaaagagt tgttttgttt gcagacccag gagtaataag + 721 tttttatcag agtcaaggct ggactcttga gccaaaaggc aatcgttgtg ctttttggta + 781 tgcgaactag tttgaaaatg cttttgattt aattttctgc ataatacctt ttggccaatt + 841 cattaatatt tgcacctttt ctccattgat acctgagtag agcattttta attgcatttt + 901 taataatatt actaccaaga tattttcttg aatttgtttc aataccactt cccaaagatc + 961 gaagggttgt tatttgttta agacgtgtaa ttagatccag gtcttccatt ataggaattt + 1021 ctttatagcc tccaattcgt gaataaagct ctttacttaa taatagccct tgatctccat + 1081 aagggctatt aaataaatta cttctgatat aaactgccaa ttccaatata aaccatataa + 1141 agcctttctt ctctgtctta aaattaaaat accaggcgta ttgcttgctt aaaggattac + 1201 ttattaaatt aataattttg gatttccagt tatattttaa tcggctatct gcatgtaaaa + 1261 aaaacagcca attaccattg gctgacatag cacctgtatg cagttgttcg cctctattct + 1321 tattggtcat tgcaataacc tttgctccgc caatttttgc taccagtgtg gttgagtcag + 1381 tacttccaca atcgataaca atcacctcta aacattgagt atatgatctt atatctgcta + 1441 gtagaatagg taaatttctc gcctcgttaa ttgttggtat gattatgcta agtttgttat + 1501 ctttttttat atgttccata ggcttaagtc tgttataaag tctaagtcat cttttctatt + 1561 tagcaattta tagttaactc cttcttcttt tgctttccga agagtttctt taaaaacaga + 1621 agtagtgccc catttaattc cagagaaagg ccaagaaatg actggggaaa ggatgttctt + 1681 tgaaaaccct attaaccaat acccgccatc atttgcaggt ccaattacta ggtcattatt + 1741 tttcaaggaa tttaaagcag aatctatatc tgatgtgcaa aggcttggga catctgttcc + 1801 aattaaaatc gtatcccttg atgattgtga tttggatgta ctttttcttt gagctaaaac + 1861 taattgtctt ttcattttaa gtcctaggtt cccagatcct tgagagcaag ccaatgaaaa + 1921 cccttcattt ctcgcccaag cagaaactct ttgattgcca atgccatcga tagctaattt + 1981 ggtttctatt agccctttta atttgattgc ttttgctacg gcaattgtgt gatgaataag + 2041 cctttgttgt attaaagctg ctctgtaagg tccaatgtct ttggcaagtc ttgttttgca + 2101 tcgacttggt gctggccatc gggtcattaa gacaaggatg ggcttaagca tggattgttt + 2161 tttagtgggt tatttttgtt gttacgggga ttgctgaaag attttcattg catcctgtat + 2221 agctttaata agcttcatta cacaactatc ttagtcgctt tgctctaatc cctctgaatg + 2281 acttggtggt tggaaagaag ttgagtaata ataattaaaa acctgatttt ctgatttaac + 2341 actgctttat cctttaacca tgcttagatt caacctctag ctcttcaacg tgaaaaggtg + 2401 gactaatgct tgaagcgtct tgggaaaaag ttcagagttc tctaaaacaa aatctaagta + 2461 agccatcata tgaaacttgg atacgtccta ctgagttcag tggttttaaa aatggagagc + 2521 tgactttaat tgctccaaat agcttttcca gtgcatggtt gaaaaataat tattctcaga + 2581 caattcaaga gactgctgaa gaaatttttg gagaacctgt aactgttcat gtaaaggtga + 2641 aagccaatgc agagagttca gatgaacatt attcttctgc tcccatcacc cctcccttag + 2701 aggcttcgcc tgggtcagtt gactcttcag gctcttcttt gcgattatct aaaaagaccc + 2761 tcccgttact taatttaaga tatgttttca atcgatttgt tgtaggacct aatagtcgca + 2821 tggctcatgc agcagctatg gctgtagcag agtctccagg acgcgaattt aatccattgt + 2881 tcatatgtgg cggtgttggt ttaggtaaga cacatttgat gcaagcaatt ggccattatc + 2941 gcttagaaat tgatccaggt gcaaaagtct cttatgtgtc tactgaaact tttaccaatg + 3001 atttgatctt ggcgattagg caagatcgaa tgcaggcttt tagagataga tatagagctg + 3061 cagatttgat acttgttgat gatattcaat ttattgaagg aaaagaatat acccaagaag + 3121 agttttttca tacttttaat gccttgcatg atgcaggaag tcaaattgtt cttgctagtg + 3181 acagacctcc tagccagata ccacgacttc aagaacgttt aatgtcaaga ttttcaatgg + 3241 ggttgattgc tgatgttcaa gcacctgatt tagagacaag gatggcgata ttgcagaaga + 3301 aagctgaaca tgaacgcgta ggacttccaa gagatttgat tcaatttatt gcaggccgat + 3361 ttacttcaaa tattcgtgaa ttagaaggag cacttaccag ggctattgca tttgcatcta + 3421 ttacaggcct tccaatgaca gtagattcaa ttgcaccaat gttagatcca aacggtcaag + 3481 gtgtagaagt aactccaaag caggtactag ataaagttgc agaagtcttt aaggttactc + 3541 ctgatgaaat gagaagtgca agtagacgta gacctgtaag ccaggctagg caagtaggta + 3601 tgtatttaat gcgtcaaggt actaatttaa gtttgccaag aattggtgat acgtttggag + 3661 gaaaagatca cacaactgtg atgtatgcaa ttgagcaagt agaaaagaaa ttgtctagtg + 3721 accctcagat tgcaagccaa gttcaaaaaa tcagagattt gttgcagata gactctcgcc + 3781 gtaaacgtta gctaatttga gctatttcaa ttatcaatag ctttagaaaa ataaatggga + 3841 ttttgatcaa agcgatgtct cgttgggaga ggagctcctt tttcggatcc atctatttga + 3901 gcagtctttt caagtgcttt gcggaattct ctggctgcaa gtagaggcat gtctctaggg + 3961 actgataccc tgtcccttaa atatcttaat cccacagcac tgccttgagt ggggatgaaa + 4021 tcttgcttgg agatcatata gctaagagct gctcttaatg gctgatcaaa agattctggc + 4081 ccaagaggat taacggcttt gatgccttct cgatgtttta atacacgtgt taaagcaatt + 4141 gcagaaggaa gagttttcgt tgaaggttcg aaggttgttt cattttctcc aagcccgtta + 4201 ccaatatcga tttgatttga gaaagtttct tgaaggacat ttttgtctaa ccaacaccct + 4261 cccatttgag gaggcagatc atgggaatgg gtgtggaagt caccttgagt gcccctatac + 4321 tctggaagta tttctagcga tttgaaccat ctgtcaatat tgggaaattc tttccttatc + 4381 tttattcctt tgtagtaggc taaagaggca ttcattcgtt ctaaataggg tacaaaagca + 4441 acgtctatac ttcctggcaa agattctaga gaattactaa ttgatgggtc tatccaaggg + 4501 gaatttgttt gagataatcg attatctact tcttttgcaa taaatttgaa ttgcttttct + 4561 ctttctattg attggacttt gctaaatgat ggattacaca accatatgca ccaagatcta + 4621 aaaagatttc tttcaagatt ccgcaaatca attattttag gatgctccat ttgcatccct + 4681 aacgggccaa aagttttttc taagtgcaaa agaattttat cgctttcagt tatgagctct + 4741 tgatctattt ctatcgctgg gaaaaggcca gagggaactt tttttagata ccatttttct + 4801 ttttctccat aacaccgcat ggttactttc ttgactgcat aaggtatttt cttcaattcc + 4861 aaccacaacc atactttttg acaatatgga caccatgcat gcttatctct aaaaaacact + 4921 actcttatcg aagacttgtt ctggccaaat agtctgagca aagagtatga attgttaggg + 4981 ccatttatta gatctgattg attgtgagcg aattttgtaa gctcttccca actgagtgcg + 5041 gctatagctt ctttcatgaa tgagtaggag aatgaagtga gagatcccta ggattatttt + 5101 gaattattct tttgacttaa ttgtattagg tgctggttca ggtggattag ctgctgctaa + 5161 aagagcagca agttatggag ccagagttgc aatcgtagaa ggagatcgtg ttggaggtac + 5221 atgtgttata agaggttgcg tccctaaaaa gttgctggta tatgggtctc aatatggtga + 5281 atatctaaag aatgccccaa gctt +// + +LOCUS AF354644 2567 bp DNA linear BCT 01-JUL-2001 +DEFINITION Prochlorococcus marinus psb operon, complete sequence. +ACCESSION AF354644 +VERSION AF354644.1 +KEYWORDS . +SOURCE Prochlorococcus marinus + ORGANISM Prochlorococcus marinus + Bacteria; Cyanobacteriota; Cyanophyceae; Synechococcales; + Prochlorococcaceae; Prochlorococcus. +REFERENCE 1 (bases 1 to 2567) + AUTHORS Garczarek,L., van der Staay,G.W.M., Hess,W.R., Le Gall,F. and + Partensky,F. + TITLE Expression and phylogeny of the multiple antenna genes of the + low-light adapted strain Prochlorococcus marinus SS120 + (Oxyphotobacteria) + JOURNAL Unpublished +REFERENCE 2 (bases 1 to 2567) + AUTHORS Garczarek,L., van der Staay,G.W.M., Hess,W.R., Le Gall,F. and + Partensky,F. + TITLE Direct Submission + JOURNAL Submitted (01-MAR-2001) Station Biologique, CNRS et Universite + Paris 6, Place Georges Teissier, BP74, Roscoff 29 682, France +FEATURES Location/Qualifiers + source 1..2567 + /organism="Prochlorococcus marinus" + /mol_type="genomic DNA" + /strain="SS120; CCMP1375" + /type_material="type strain of Prochlorococcus marinus" + /db_xref="taxon:1219" + gene 65..2507 + /gene="psb operon" + gene 65..1141 + /gene="psbD" + CDS 65..1141 + /gene="psbD" + /codon_start=1 + /transl_table=11 + /product="photosystem II reaction center D2" + /protein_id="AAK69278.1" + /translation="MTIAVGSAQDRRWFDVLDDWLKRDRFVFVGWSGLLLFPTAYLAI + GGWFLGTTFVTSWYTHGVASSYLEGCNFLTAAVSTPGDAMGHSLLFLWGPEAQGSLVR + WLQLGGLWNFVVLHGAFSLIGFMLRQFEIARLVGIRPYNALAFSAVIAVFTACFLIYP + LGQHSWFFAPSFGVAAIFRFILFIQGFHNITLNPFHMMGVAGILGGALLCAIHGATVQ + NTLYEDTSVYSGGKAQSTTFRAFDPTQEEETYSMITANRFWSQIFGIAFSNKRFLHFL + MLFVPVMGMWCAAIGIVGLALNLRAYDFVSQEIRAAEDPEFETFYTKNILLNEGMRAW + MSSVDQPHENFVFPEEVLPRGNAL" + gene 1125..2507 + /gene="psbC" + CDS 1125..2507 + /gene="psbC" + /codon_start=1 + /transl_table=11 + /product="photosystem II chlorophyll a-binding protein + CP43" + /protein_id="AAK69277.1" + /translation="METPFNNLLKAPNQSIEETGYAWYVGNARLINLSGKLLGAHIAH + TGLMVFWAGAMMLYEVSHFTFDKPMWEQGLILLPHVAMFGYGIGPGGEVIDVMPYFQA + GVIHLIASAVLGFGGIYHSLAGPEKLEEEFPFFSTDWRDKDQMTTILGRHLCVLGLGA + VAFAVNWQFLGGLYDTWAPGGGEVRLITPTTDPGIIFGYLFQTPWGGGGNMVGVNSVE + DIVGGHYYLGIIELIGGHFHMQTKPFGWARRAFIWNGEALLSYALGGLCVASFYASVF + VWFNNTAYPSEFYGPTNAEASQAQSFTFLVRDQRIGANVGTTMGPTGLGKYLMRSPTG + EIIFGGETMRFWDFRGPWLEPLRGENGLSLDKIQNDIQPWQVRRAAEYMTHAPNASIN + SVGGIITEPNAVNFVNLRQWLASAHFFLGWFTFVGHLWHAGRARAAAGGFEKGIDRRT + EPALSMSDLD" +ORIGIN + 1 ccgacttggt tcttgaattg ttaaagtctc aggcgtatac caaaagctca gcaacgttgc + 61 tctcatgacg atagctgttg gtagcgccca agatagaaga tggtttgacg tccttgatga + 121 ctggcttaag cgcgaccgat tcgtatttgt tggttggtct ggtctccttc tgttccctac + 181 tgcctatctg gctatcggtg gatggttttt aggcacaacc ttcgtaacct cctggtacac + 241 ccatggtgta gccagttctt acctagaagg atgtaatttc cttactgccg ctgttagtac + 301 ccctggcgac gctatggggc acagtctttt attcctatgg ggaccagagg cacaaggcag + 361 tcttgttcgt tggcttcaac taggcggact atggaatttt gtagtccttc atggtgcttt + 421 cagcctgatt ggcttcatgc tgcgtcagtt tgaaatcgca agacttgttg gtatcaggcc + 481 ttacaacgca cttgcttttt ctgcagttat agctgttttc acagcatgtt tccttatcta + 541 tccgttaggg caacacagct ggttttttgc tccttctttt ggggttgcag ctattttcag + 601 attcatacta tttattcaag gtttccacaa catcacattg aatccttttc acatgatggg + 661 tgttgcagga attcttggtg gtgctcttct atgtgctatt cacggtgcaa ccgtccaaaa + 721 tacactttat gaagacacca gtgtttattc aggtggtaaa gctcaaagta caactttcag + 781 agcttttgat cctacccagg aagaagagac gtactcaatg attacggcta atagattctg + 841 gagtcagatc tttggaatag ctttttctaa caagcgcttc cttcacttct taatgctctt + 901 tgtacctgta atgggtatgt ggtgcgccgc aattggcatt gttggtcttg ctcttaatct + 961 aagagcatat gacttcgtta gccaagagat tagagctgct gaagacccag agtttgaaac + 1021 gttctataca aaaaacatac ttttgaatga aggtatgaga gcctggatgt cttctgtgga + 1081 tcaaccacac gaaaactttg tattcccaga ggaggtactc ccacgtggaa acgcccttta + 1141 ataatctttt aaaagctcct aaccaaagta ttgaagaaac tggttatgcc tggtatgtag + 1201 gcaatgctcg tttaattaat ctttctggaa aactacttgg agcccacatt gcacatacag + 1261 gactaatggt gttctgggct ggagcaatga tgctttatga agtgagtcat ttcacttttg + 1321 ataagccaat gtgggagcag ggcttaatac ttcttcccca tgtagccatg tttggctatg + 1381 gcataggccc aggtggagaa gttattgacg taatgccata ttttcaggct ggagttattc + 1441 acctaattgc ttcagcagtt cttggatttg gaggaattta tcattctctt gcaggtccag + 1501 agaaattaga agaagaattt cctttcttct caactgattg gcgagataag gaccaaatga + 1561 caaccatcct tggtcgtcat ttatgtgttc ttgggctagg tgcagtagct tttgctgtca + 1621 actggcaatt ccttggcggt ctttatgaca catgggctcc aggcggtggt gaagttcgct + 1681 tgattacacc aactacagat ccaggaatta tttttggata ccttttccaa accccatggg + 1741 gtggaggagg aaatatggta ggtgttaact cagttgaaga cattgtaggc gggcactatt + 1801 acctaggaat tattgaactc ataggtggac atttccatat gcaaaccaag ccatttggct + 1861 gggctcgcag ggcttttatt tggaatggag aagctttgct ctcttatgcc cttggtggtt + 1921 tatgtgtagc aagcttttac gcctcagtat tcgtttggtt caataacact gcttacccat + 1981 cagagttcta cggaccaact aatgcagaag catctcaggc acaaagtttt actttccttg + 2041 taagagacca aagaataggt gcaaatgtcg ggactaccat gggaccaact ggtttaggta + 2101 aatacctaat gagatcacca acaggagaaa tcatctttgg tggtgaaaca atgcgtttct + 2161 gggacttccg tggaccttgg ctagaacctc taagaggaga gaatggatta agtctggata + 2221 aaatccaaaa cgatattcag ccttggcaag ttcgccgcgc tgctgaatat atgactcatg + 2281 ctccaaatgc ttctatcaac tctgttggtg gaatcattac tgagcctaat gctgtcaatt + 2341 tcgttaacct tcgtcagtgg cttgcatcag ctcatttctt cttaggatgg tttacatttg + 2401 taggtcatct ttggcatgct ggtcgtgcta gagctgcagc cggtggtttt gagaaaggaa + 2461 ttgatcgcag aactgagcct gctctttcca tgtctgatct agactaagac taagttaata + 2521 tttagttttt tcttaaaaga aaagccctca atgaaaattg agggctt +// + diff --git a/tests/data/seq-len/sequence.gff3 b/tests/data/seq-len/sequence.gff3 new file mode 100644 index 0000000..1f1d8c5 --- /dev/null +++ b/tests/data/seq-len/sequence.gff3 @@ -0,0 +1,28 @@ +##gff-version 3 +#!gff-spec-version 1.21 +#!processor NCBI annotwriter +##sequence-region Z92525.1 1 1111 +##species https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=1219 +Z92525.1 EMBL region 1 1111 . + . ID=Z92525.1:1..1111;Dbxref=taxon:1219;clone=CSSG10 and CSSG6;clone-lib=cosmid library in Supercos 1;gbkey=Src;mol_type=genomic DNA;strain=CCMP 1375;type-material=type strain of Prochlorococcus marinus +Z92525.1 EMBL gene 243 1055 . + . ID=gene-ppeC;Name=ppeC;gbkey=Gene;gene=ppeC;gene_biotype=protein_coding +Z92525.1 EMBL CDS 243 1055 . + 0 ID=cds-CAB06827.2;Parent=gene-ppeC;Dbxref=GOA:O06838,InterPro:IPR001297,InterPro:IPR016470,UniProtKB/TrEMBL:O06838,NCBI_GP:CAB06827.2;Name=CAB06827.2;Note=putative rod linker polypeptide associates with class III phycoerythrin alpha and beta chains;gbkey=CDS;gene=ppeC;product=phycoerythrin class III gamma chain;protein_id=CAB06827.2;transl_table=11 + +##sequence-region U44977.1 1 5304 +##species https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=1219 +U44977.1 Genbank region 1 5304 . + . ID=U44977.1:1..5304;Dbxref=taxon:1219;gbkey=Src;mol_type=genomic DNA;strain=CCMP1375;type-material=type strain of Prochlorococcus marinus +U44977.1 Genbank CDS 248 790 . + 0 ID=cds-AAC15819.1;Dbxref=NCBI_GP:AAC15819.1;Name=AAC15819.1;Note=orf180;gbkey=CDS;product=unknown;protein_id=AAC15819.1;transl_table=11 +U44977.1 Genbank CDS 809 1519 . - 0 ID=cds-AAC15820.1;Dbxref=NCBI_GP:AAC15820.1;Name=AAC15820.1;Note=orf236;gbkey=CDS;product=unknown;protein_id=AAC15820.1;transl_table=11 +U44977.1 Genbank CDS 1507 2151 . - 0 ID=cds-AAC15821.1;Dbxref=NCBI_GP:AAC15821.1;Name=AAC15821.1;Note=orf214;gbkey=CDS;product=unknown;protein_id=AAC15821.1;transl_table=11 +U44977.1 Genbank gene 2406 3791 . + . ID=gene-dnaA;Name=dnaA;gbkey=Gene;gene=dnaA;gene_biotype=protein_coding +U44977.1 Genbank CDS 2406 3791 . + 0 ID=cds-AAC15822.1;Parent=gene-dnaA;Dbxref=NCBI_GP:AAC15822.1;Name=AAC15822.1;gbkey=CDS;gene=dnaA;product=DnaA;protein_id=AAC15822.1;transl_table=11 +U44977.1 Genbank CDS 3807 5057 . - 0 ID=cds-AAC15823.1;Dbxref=NCBI_GP:AAC15823.1;Name=AAC15823.1;Note=orf416;gbkey=CDS;product=unknown;protein_id=AAC15823.1;transl_table=11 + +##sequence-region AF354644.1 1 2567 +##species https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=1219 +AF354644.1 Genbank region 1 2567 . + . ID=AF354644.1:1..2567;Dbxref=taxon:1219;gbkey=Src;genome=genomic;mol_type=genomic DNA;strain=SS120%3B CCMP1375;type-material=type strain of Prochlorococcus marinus +AF354644.1 Genbank gene 65 2507 . + . ID=gene-psb operon;Name=psb operon;gbkey=Gene;gene=psb operon;gene_biotype=other +AF354644.1 Genbank gene 65 1141 . + . ID=gene-psbD;Name=psbD;gbkey=Gene;gene=psbD;gene_biotype=protein_coding +AF354644.1 Genbank CDS 65 1141 . + 0 ID=cds-AAK69278.1;Parent=gene-psbD;Dbxref=NCBI_GP:AAK69278.1;Name=AAK69278.1;gbkey=CDS;gene=psbD;product=photosystem II reaction center D2;protein_id=AAK69278.1;transl_table=11 +AF354644.1 Genbank gene 1125 2507 . + . ID=gene-psbC;Name=psbC;gbkey=Gene;gene=psbC;gene_biotype=protein_coding +AF354644.1 Genbank CDS 1125 2507 . + 0 ID=cds-AAK69277.1;Parent=gene-psbC;Dbxref=NCBI_GP:AAK69277.1;Name=AAK69277.1;gbkey=CDS;gene=psbC;product=photosystem II chlorophyll a-binding protein CP43;protein_id=AAK69277.1;transl_table=11 + diff --git a/tests/testthat/test-read_seq_len.R b/tests/testthat/test-read_seq_len.R new file mode 100644 index 0000000..d2d4937 --- /dev/null +++ b/tests/testthat/test-read_seq_len.R @@ -0,0 +1,22 @@ +expected_fa <- data.frame(tribble( + ~seq_id, ~seq_desc, ~length, + "Z92525.1", "Prochlorococcus marinus ppeC gene for phycoerythrin class III gamma chain", 1111, + "U44977.1", "Prochlorococcus marinus DnaA (dnaA) gene, complete cds" , 5304, + "AF354644.1", "Prochlorococcus marinus psb operon, complete sequence" , 2567 +)) + +test_that("get seq len from fasta", { + expect_equal(data.frame(read_seq_len("../data/seq-len/sequence.fasta")), expected_fa) +}) + +expected_gff <- mutate(expected_fa, seq_desc = NA_character_) + +test_that("get seq len from gff", { + expect_equal(data.frame(read_seq_len("../data/seq-len/sequence.gff3")), expected_gff) +}) + +expected_gb <- mutate(expected_gff, seq_id = str_replace(str_remove(seq_id,".1"),"U","PMU")) + +test_that("get seq len from gb", { + expect_equal(data.frame(read_seq_len("../data/seq-len/sequence.gb")), expected_gb) +}) From 4b4517bc808f9c0dcd79d3a97effad1b10f9dc23 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Thu, 6 Jun 2024 14:43:06 +0200 Subject: [PATCH 02/25] Re-implement read_seq_len in R --- R/read_seqs.R | 57 ++++++++++++++++++++++++++++++++++++++++++--------- 1 file changed, 47 insertions(+), 10 deletions(-) diff --git a/R/read_seqs.R b/R/read_seqs.R index 674cfab..f4906a8 100644 --- a/R/read_seqs.R +++ b/R/read_seqs.R @@ -50,19 +50,56 @@ parse_desc <- function(x, pattern="\\s*\\[?(\\S+)=\\{?([^=]+?)(\\s|\\}|\\]|$)"){ #' Read sequence index #' -#' @describeIn read_seq_len read seqs from a single file in fasta, gbk or gff3 format. -#' @inheritParams readr::read_tsv +#' @describeIn read_seq_len read seqs from a single file_name in fasta, gbk or gff3 format. #' @param file with sequence length information -#' @param ... additional parameters, passed to `read_tsv` #' @export -read_seq_len <- function(file, col_names = def_names("seq_len"), - col_types = def_types("seq_len"), ...){ - # Note base::system.file b/c devtools::system.file looks at "package/inst" - # as this would become toplevel after install. The exec folder and its - # script are a special case that are always toplevel - seq_len <- base::system.file("exec/seq-len", package="gggenomes") - readr::read_tsv(pipe(str_glue("{seq_len} {file}")), col_names = col_names, col_types=col_types, ...) +read_seq_len <- function(file) { + # Read the first line to determine format + first <- readr::read_lines(file, n_max=1) + # Initialize output + output <- NULL + + # fasta + if (stringr::str_starts(first, ">")) { + output <- tibble::tibble(raw=readr::read_lines(file)) %>% + # seq_number is only there to maintain order of the sequences (this might not be relevant) + dplyr::mutate( + header=dplyr::if_else(stringr::str_starts(.data$raw, ">"), stringr::str_remove(.data$raw,">"), NA_character_), + seq_number=cumsum(!is.na(.data$header)), + bp=str_length(.data$raw) + ) %>% + tidyr::fill(.data$header, .direction="down") %>% + dplyr::filter(!stringr::str_starts(.data$raw,">")) %>% + dplyr::group_by(.data$seq_number, .data$header) %>% + dplyr::summarize(length=sum(.data$bp)) %>% + tidyr::separate(.data$header, into=c("seq_id","seq_desc"), sep=" ", extra="merge", fill = "right") %>% + dplyr::ungroup() %>% + dplyr::select(-.data$seq_number) + } + + # gbk + else if (stringr::str_starts(first, "LOCUS")) { + output <- tibble::tibble(raw=readr::read_lines(file)) %>% + dplyr::filter(stringr::str_starts(.data$raw, "LOCUS")) %>% + tidyr::separate(.data$raw, into=c("tag", "seq_id", "length"), extra="drop", convert=TRUE) %>% + dplyr::transmute(.data$seq_id, seq_desc=NA_character_, .data$length) + } + + # gff + else if (stringr::str_starts(first, "##gff")) { + output <- tibble::tibble(raw=readr::read_lines(file)) %>% + dplyr::filter(stringr::str_starts(.data$raw, "##sequence-region")) %>% + tidyr::separate(.data$raw, into=c("_", "seq_id", "start", "end"), sep=" ", convert=TRUE) %>% + dplyr::transmute(.data$seq_id, seq_desc=NA_character_, length=.data$end-.data$start+1) + } + + # Unknown format + else { + stop("Unknown format, can read fasta, gbk and gff with proper ##gff-version and ##sequence-region directives\n") + } + + return(output) } #' @describeIn read_seq_len read seqs from a single file in seqkit/samtools fai format. From 7fca5880f5ce5a64b271535c328f321446f0df49 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Thu, 6 Jun 2024 14:43:33 +0200 Subject: [PATCH 03/25] Ignore vscode dir --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 02f592d..77ff493 100644 --- a/.gitignore +++ b/.gitignore @@ -10,3 +10,4 @@ vignettes-manual-export/ /doc/ /Meta/ gggenomes.Rcheck +.vscode From 23a70ca7131e87b3c8d9c038a2d768affdd51529 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Thu, 6 Jun 2024 14:45:53 +0200 Subject: [PATCH 04/25] Export S3 methods This is necessary from roxygen 7.3, see https://www.tidyverse.org/blog/2024/01/roxygen2-7-3-0/ and details in https://roxygen2.r-lib.org/articles/namespace.html#s3 --- DESCRIPTION | 2 +- NAMESPACE | 4 ++ R/geom_coverage.R | 2 + R/geom_wiggle.R | 2 + R/multi_track.ipynb | 116 +++++++++++++++++++++++++++++++++++++++++ R/tracks.R | 2 + gggenomes_1.0.0.tar.gz | Bin 0 -> 4534734 bytes 7 files changed, 127 insertions(+), 1 deletion(-) create mode 100644 R/multi_track.ipynb create mode 100644 gggenomes_1.0.0.tar.gz diff --git a/DESCRIPTION b/DESCRIPTION index 90aba2f..e0c8012 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -16,7 +16,7 @@ URL: https://github.com/thackl/gggenomes BugReports: https://github.com/thackl/gggenomes/issues Encoding: UTF-8 LazyData: true -RoxygenNote: 7.2.3 +RoxygenNote: 7.3.1 Roxygen: list(markdown = TRUE) VignetteBuilder: knitr Depends: diff --git a/NAMESPACE b/NAMESPACE index 679cf17..440d218 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -12,6 +12,8 @@ S3method(add_subfeats,gggenomes) S3method(add_subfeats,gggenomes_layout) S3method(add_sublinks,gggenomes) S3method(add_sublinks,gggenomes_layout) +S3method(as_bounds,default) +S3method(as_bounds,numeric) S3method(as_feats,default) S3method(as_feats,tbl_df) S3method(as_links,default) @@ -73,6 +75,8 @@ S3method(track_ids,gggenomes) S3method(track_ids,gggenomes_layout) S3method(track_info,gggenomes) S3method(track_info,gggenomes_layout) +S3method(tracks,gggenomes) +S3method(tracks,gggenomes_layout) export("%<>%") export("%>%") export(GeomFeatText) diff --git a/R/geom_coverage.R b/R/geom_coverage.R index f173aea..1e6963a 100644 --- a/R/geom_coverage.R +++ b/R/geom_coverage.R @@ -73,7 +73,9 @@ StatCoverage <- ggproto("StatCoverage", Stat, as_bounds <- function(.f, ...) { UseMethod("as_bounds") } +#' @export as_bounds.default <- purrr__as_mapper.default +#' @export as_bounds.numeric <- function(.f) { function(...) .f } diff --git a/R/geom_wiggle.R b/R/geom_wiggle.R index 2c28c6b..2778d9e 100644 --- a/R/geom_wiggle.R +++ b/R/geom_wiggle.R @@ -75,7 +75,9 @@ StatWiggle <- ggproto("StatWiggle", Stat, as_bounds <- function(.f, ...) { UseMethod("as_bounds") } +#' @export as_bounds.default <- purrr__as_mapper.default +#' @export as_bounds.numeric <- function(.f){ function(...) .f } diff --git a/R/multi_track.ipynb b/R/multi_track.ipynb new file mode 100644 index 0000000..988ce40 --- /dev/null +++ b/R/multi_track.ipynb @@ -0,0 +1,116 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "vscode": { + "languageId": "r" + } + }, + "outputs": [], + "source": [ + "options(repr.plot.res=200, plot.width=8, plot.height=4)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "vscode": { + "languageId": "r" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Loading required package: ggplot2\n", + "\n", + "\n", + "Attaching package: ‘gggenomes’\n", + "\n", + "\n", + "The following object is masked from ‘package:graphics’:\n", + "\n", + " layout\n", + "\n", + "\n" + ] + } + ], + "source": [ + "library(gggenomes)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "vscode": { + "languageId": "r" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "wiggle bounds\n", + "\u001b[36m•\u001b[39m mid: 0.38\n", + "\u001b[36m•\u001b[39m low: 0.2\n", + "\u001b[36m•\u001b[39m high: 0.76\n", + "wiggle bounds\n", + "\u001b[36m•\u001b[39m mid: -0.304\n", + "\u001b[36m•\u001b[39m low: -0.608\n", + "\u001b[36m•\u001b[39m high: -0.16\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "plot without title" + ] + }, + "metadata": { + "image/png": { + "height": 700, + "width": 700 + } + }, + "output_type": "display_data" + } + ], + "source": [ + "emale_gc2 <- emale_gc |> dplyr::mutate(score2=score*(-.8)) |> dplyr::select(-score)\n", + "gggenomes(emale_genes, seqs=emale_seqs) |>\n", + " add_feats(emale_gc) |>\n", + " add_feats(emale_gc2) +\n", + " geom_seq() +\n", + " geom_wiggle(aes(z = score, color=\"original\"), geom = \"line\", offset = -0.3, alpha=.75, data=feats(emale_gc)) +\n", + " geom_wiggle(aes(z = score2, color=\"changed\"), geom = \"line\", offset = -0.3, alpha=.75, data=feats(emale_gc2)) +\n", + " scale_color_manual(\"Coverage\", values=c(\"original\"=\"blue\", \"changed\"=\"red\")) +\n", + " NULL" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir2" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "4.4.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/R/tracks.R b/R/tracks.R index 17bb9b0..d8b470b 100644 --- a/R/tracks.R +++ b/R/tracks.R @@ -92,9 +92,11 @@ track_type <- function(x, track_id){ tracks <- function(x, ...){ UseMethod("tracks") } +#' @export tracks.gggenomes <- function(x, ...){ tracks(x$data) } +#' @export tracks.gggenomes_layout <- function(x, track_type = c("seqs", "feats", "links"), ...){ c(x$seqs, x$feats, x$links) } diff --git a/gggenomes_1.0.0.tar.gz b/gggenomes_1.0.0.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..61a0708924f89895c8b956536f8f692ad9843f2b GIT binary patch literal 4534734 zcmV(=K-s?^iwFP!000001ML0ndfP^_CJPMo~9 zXXe>Q(IO!dq!5z;1CSCK$MfvVIOq2EmAv)Y9{@;6j^mlEZO=p`f$r+=>gww1>iU>Y zr*WFi<6^&aS&XuAy#H_S{NDlmdwg_+pWVkt2kxi-`?v1HM~4U9gQG`};Cc7qL9hF7 z!O_3HhkvVL8RgKGd6d6e72C^Q_x=z1Z(5oES+q(=7oDGqEPaRb|LEbvZS&vj9d=9e 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z;g@(4s^R3Y)ba?zSLg?o|7&?oKM=Ao7(i5H=6EV8qVA#okBAG^Vv@*Z$mx~;n#F(( zS@)BvTe4`C7ahR-j@%!1m_Ir^p8@`!H;%p!iZG+U%K-FqyQtPDdwP-sk%*dS0`s=e zz+$B(EokRI&`&wh-@(zUA)rR7MG*MK0cC+Zz(Zc|!2Ot(k z@K2|gqfQ<%JC0^^m^g*#MMRE=Bj;DCcA>7x{5m0G3fbTO(?W<_{LgH%I2``83yt6) zV2P*B9hvbTdXLCjJV{|`Rb zgZ-;4g@|x0^7Ef*U-8ca3JX^v!}*6&S6uY@73_ab)qmyF`2zkwvNjg`AF5f4T0mc= z{F%U6;q`@cykr*_q{OI&RghCqmHM-1DmKyKhc*s0qhtQ}@xPD%ef;m^e;@z1AOA1c Kvob9Jif#ZsmjA#2 literal 0 HcmV?d00001 From 47bd3a287fa78bfaefb74c9a83d8f212f71b7897 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Thu, 6 Jun 2024 14:48:00 +0200 Subject: [PATCH 05/25] Re-generate man --- R/multi_track.ipynb | 116 ----------------------------------------- man/geom_bin_label.Rd | 31 +++++++++-- man/geom_feat.Rd | 47 ++++++++++++++--- man/geom_feat_text.Rd | 66 ++++++++++++++++++----- man/geom_gene.Rd | 34 ++++++++---- man/geom_gene_label.Rd | 31 +++++++++-- man/geom_link.Rd | 65 ++++++++++++++++++----- man/geom_seq.Rd | 31 +++++++++-- man/geom_seq_break.Rd | 47 ++++++++++++++--- man/geom_seq_label.Rd | 31 +++++++++-- man/geom_variant.Rd | 31 +++++++++-- man/geom_wiggle.Rd | 82 +++++++++++++++++++++++------ man/read_bed.Rd | 2 +- man/read_seq_len.Rd | 59 +-------------------- 14 files changed, 411 insertions(+), 262 deletions(-) delete mode 100644 R/multi_track.ipynb diff --git a/R/multi_track.ipynb b/R/multi_track.ipynb deleted file mode 100644 index 988ce40..0000000 --- a/R/multi_track.ipynb +++ /dev/null @@ -1,116 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "vscode": { - "languageId": "r" - } - }, - "outputs": [], - "source": [ - "options(repr.plot.res=200, plot.width=8, plot.height=4)" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "vscode": { - "languageId": "r" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Loading required package: ggplot2\n", - "\n", - "\n", - "Attaching package: ‘gggenomes’\n", - "\n", - "\n", - "The following object is masked from ‘package:graphics’:\n", - "\n", - " layout\n", - "\n", - "\n" - ] - } - ], - "source": [ - "library(gggenomes)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "vscode": { - "languageId": "r" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "wiggle bounds\n", - "\u001b[36m•\u001b[39m mid: 0.38\n", - "\u001b[36m•\u001b[39m low: 0.2\n", - "\u001b[36m•\u001b[39m high: 0.76\n", - "wiggle bounds\n", - "\u001b[36m•\u001b[39m mid: -0.304\n", - "\u001b[36m•\u001b[39m low: -0.608\n", - "\u001b[36m•\u001b[39m high: -0.16\n" - ] - }, - { - "data": { - "image/png": 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- "text/plain": [ - "plot without title" - ] - }, - "metadata": { - "image/png": { - "height": 700, - "width": 700 - } - }, - "output_type": "display_data" - } - ], - "source": [ - "emale_gc2 <- emale_gc |> dplyr::mutate(score2=score*(-.8)) |> dplyr::select(-score)\n", - "gggenomes(emale_genes, seqs=emale_seqs) |>\n", - " add_feats(emale_gc) |>\n", - " add_feats(emale_gc2) +\n", - " geom_seq() +\n", - " geom_wiggle(aes(z = score, color=\"original\"), geom = \"line\", offset = -0.3, alpha=.75, data=feats(emale_gc)) +\n", - " geom_wiggle(aes(z = score2, color=\"changed\"), geom = \"line\", offset = -0.3, alpha=.75, data=feats(emale_gc2)) +\n", - " scale_color_manual(\"Coverage\", values=c(\"original\"=\"blue\", \"changed\"=\"red\")) +\n", - " NULL" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "R", - "language": "R", - "name": "ir2" - }, - "language_info": { - "codemirror_mode": "r", - "file_extension": ".r", - "mimetype": "text/x-r-source", - "name": "R", - "pygments_lexer": "r", - "version": "4.4.0" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/man/geom_bin_label.Rd b/man/geom_bin_label.Rd index b8b541b..3b3e21d 100644 --- a/man/geom_bin_label.Rd +++ b/man/geom_bin_label.Rd @@ -53,10 +53,33 @@ from a \code{formula} (e.g. \code{~ head(.x, 10)}).} \item{yjust}{for multiline bins set to 0.5 to center labels on bins, and 1 to align labels to the bottom.} -\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}. These are -often aesthetics, used to set an aesthetic to a fixed value, like -\code{colour = "red"} or \code{size = 3}. They may also be parameters -to the paired geom/stat.} +\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These +arguments broadly fall into one of 4 categories below. Notably, further +arguments to the \code{position} argument, or aesthetics that are required +can \emph{not} be passed through \code{...}. Unknown arguments that are not part +of the 4 categories below are ignored. +\itemize{ +\item Static aesthetics that are not mapped to a scale, but are at a fixed +value and apply to the layer as a whole. For example, \code{colour = "red"} +or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} +section that lists the available options. The 'required' aesthetics +cannot be passed on to the \code{params}. Please note that while passing +unmapped aesthetics as vectors is technically possible, the order and +required length is not guaranteed to be parallel to the input data. +\item When constructing a layer using +a \verb{stat_*()} function, the \code{...} argument can be used to pass on +parameters to the \code{geom} part of the layer. An example of this is +\code{stat_density(geom = "area", outline.type = "both")}. The geom's +documentation lists which parameters it can accept. +\item Inversely, when constructing a layer using a +\verb{geom_*()} function, the \code{...} argument can be used to pass on parameters +to the \code{stat} part of the layer. An example of this is +\code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation +lists which parameters it can accept. +\item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through +\code{...}. This can be one of the functions described as +\link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. +}} } \description{ Put bin labels left of the sequences. \code{nudge_left} adds space relative to the diff --git a/man/geom_feat.Rd b/man/geom_feat.Rd index f394a15..0b869ef 100644 --- a/man/geom_feat.Rd +++ b/man/geom_feat.Rd @@ -23,10 +23,18 @@ mapping.} \item{data}{feat_layout: Uses first data frame stored in the \code{feats} track by default.} -\item{stat}{The statistical transformation to use on the data for this -layer, either as a \code{ggproto} \code{Geom} subclass or as a string naming the -stat stripped of the \code{stat_} prefix (e.g. \code{"count"} rather than -\code{"stat_count"})} +\item{stat}{The statistical transformation to use on the data for this layer. +When using a \verb{geom_*()} function to construct a layer, the \code{stat} +argument can be used the override the default coupling between geoms and +stats. The \code{stat} argument accepts the following: +\itemize{ +\item A \code{Stat} ggproto subclass, for example \code{StatCount}. +\item A string naming the stat. To give the stat as a string, strip the +function name of the \code{stat_} prefix. For example, to use \code{stat_count()}, +give the stat as \code{"count"}. +\item For more information and other ways to specify the stat, see the +\link[ggplot2:layer_stats]{layer stat} documentation. +}} \item{position}{describes how the position of different plotted features are adjusted. By default it uses \code{"pile"}, but different ggplot2 position adjustments, such as \verb{"identity} or \code{"jitter"} can be used as well.} @@ -45,10 +53,33 @@ rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. \code{\link[ggplot2:borders]{borders()}}.} -\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}. These are -often aesthetics, used to set an aesthetic to a fixed value, like -\code{colour = "red"} or \code{size = 3}. They may also be parameters -to the paired geom/stat.} +\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These +arguments broadly fall into one of 4 categories below. Notably, further +arguments to the \code{position} argument, or aesthetics that are required +can \emph{not} be passed through \code{...}. Unknown arguments that are not part +of the 4 categories below are ignored. +\itemize{ +\item Static aesthetics that are not mapped to a scale, but are at a fixed +value and apply to the layer as a whole. For example, \code{colour = "red"} +or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} +section that lists the available options. The 'required' aesthetics +cannot be passed on to the \code{params}. Please note that while passing +unmapped aesthetics as vectors is technically possible, the order and +required length is not guaranteed to be parallel to the input data. +\item When constructing a layer using +a \verb{stat_*()} function, the \code{...} argument can be used to pass on +parameters to the \code{geom} part of the layer. An example of this is +\code{stat_density(geom = "area", outline.type = "both")}. The geom's +documentation lists which parameters it can accept. +\item Inversely, when constructing a layer using a +\verb{geom_*()} function, the \code{...} argument can be used to pass on parameters +to the \code{stat} part of the layer. An example of this is +\code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation +lists which parameters it can accept. +\item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through +\code{...}. This can be one of the functions described as +\link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. +}} } \description{ \code{geom_feat()} allows the user to draw (additional) features to the plot/graph. diff --git a/man/geom_feat_text.Rd b/man/geom_feat_text.Rd index 722163e..a26e678 100644 --- a/man/geom_feat_text.Rd +++ b/man/geom_feat_text.Rd @@ -130,19 +130,59 @@ the plot data. The return value must be a \code{data.frame}, and will be used as the layer data. A \code{function} can be created from a \code{formula} (e.g. \code{~ head(.x, 10)}).} -\item{stat}{The statistical transformation to use on the data for this -layer, either as a \code{ggproto} \code{Geom} subclass or as a string naming the -stat stripped of the \code{stat_} prefix (e.g. \code{"count"} rather than -\code{"stat_count"})} - -\item{position}{Position adjustment, either as a string, or the result of -a call to a position adjustment function. Cannot be jointly specified with -\code{nudge_x} or \code{nudge_y}.} - -\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}. These are -often aesthetics, used to set an aesthetic to a fixed value, like -\code{colour = "red"} or \code{size = 3}. They may also be parameters -to the paired geom/stat.} +\item{stat}{The statistical transformation to use on the data for this layer. +When using a \verb{geom_*()} function to construct a layer, the \code{stat} +argument can be used the override the default coupling between geoms and +stats. The \code{stat} argument accepts the following: +\itemize{ +\item A \code{Stat} ggproto subclass, for example \code{StatCount}. +\item A string naming the stat. To give the stat as a string, strip the +function name of the \code{stat_} prefix. For example, to use \code{stat_count()}, +give the stat as \code{"count"}. +\item For more information and other ways to specify the stat, see the +\link[ggplot2:layer_stats]{layer stat} documentation. +}} + +\item{position}{A position adjustment to use on the data for this layer. +Cannot be jointy specified with \code{nudge_x} or \code{nudge_y}. This +can be used in various ways, including to prevent overplotting and +improving the display. The \code{position} argument accepts the following: +\itemize{ +\item The result of calling a position function, such as \code{position_jitter()}. +\item A string nameing the position adjustment. To give the position as a +string, strip the function name of the \code{position_} prefix. For example, +to use \code{position_jitter()}, give the position as \code{"jitter"}. +\item For more information and other ways to specify the position, see the +\link[ggplot2:layer_positions]{layer position} documentation. +}} + +\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These +arguments broadly fall into one of 4 categories below. Notably, further +arguments to the \code{position} argument, or aesthetics that are required +can \emph{not} be passed through \code{...}. Unknown arguments that are not part +of the 4 categories below are ignored. +\itemize{ +\item Static aesthetics that are not mapped to a scale, but are at a fixed +value and apply to the layer as a whole. For example, \code{colour = "red"} +or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} +section that lists the available options. The 'required' aesthetics +cannot be passed on to the \code{params}. Please note that while passing +unmapped aesthetics as vectors is technically possible, the order and +required length is not guaranteed to be parallel to the input data. +\item When constructing a layer using +a \verb{stat_*()} function, the \code{...} argument can be used to pass on +parameters to the \code{geom} part of the layer. An example of this is +\code{stat_density(geom = "area", outline.type = "both")}. The geom's +documentation lists which parameters it can accept. +\item Inversely, when constructing a layer using a +\verb{geom_*()} function, the \code{...} argument can be used to pass on parameters +to the \code{stat} part of the layer. An example of this is +\code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation +lists which parameters it can accept. +\item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through +\code{...}. This can be one of the functions described as +\link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. +}} \item{parse}{If \code{TRUE}, the labels will be parsed into expressions and displayed as described in \code{?plotmath}.} diff --git a/man/geom_gene.Rd b/man/geom_gene.Rd index 6bb0f22..141aede 100644 --- a/man/geom_gene.Rd +++ b/man/geom_gene.Rd @@ -45,15 +45,31 @@ the plot data. The return value must be a \code{data.frame}, and will be used as the layer data. A \code{function} can be created from a \code{formula} (e.g. \code{~ head(.x, 10)}).} -\item{stat}{The statistical transformation to use on the data for this -layer, either as a \code{ggproto} \code{Geom} subclass or as a string naming the -stat stripped of the \code{stat_} prefix (e.g. \code{"count"} rather than -\code{"stat_count"})} - -\item{position}{Position adjustment, either as a string naming the adjustment -(e.g. \code{"jitter"} to use \code{position_jitter}), or the result of a call to a -position adjustment function. Use the latter if you need to change the -settings of the adjustment.} +\item{stat}{The statistical transformation to use on the data for this layer. +When using a \verb{geom_*()} function to construct a layer, the \code{stat} +argument can be used the override the default coupling between geoms and +stats. The \code{stat} argument accepts the following: +\itemize{ +\item A \code{Stat} ggproto subclass, for example \code{StatCount}. +\item A string naming the stat. To give the stat as a string, strip the +function name of the \code{stat_} prefix. For example, to use \code{stat_count()}, +give the stat as \code{"count"}. +\item For more information and other ways to specify the stat, see the +\link[ggplot2:layer_stats]{layer stat} documentation. +}} + +\item{position}{A position adjustment to use on the data for this layer. This +can be used in various ways, including to prevent overplotting and +improving the display. The \code{position} argument accepts the following: +\itemize{ +\item The result of calling a position function, such as \code{position_jitter()}. +This method allows for passing extra arguments to the position. +\item A string naming the position adjustment. To give the position as a +string, strip the function name of the \code{position_} prefix. For example, +to use \code{position_jitter()}, give the position as \code{"jitter"}. +\item For more information and other ways to specify the position, see the +\link[ggplot2:layer_positions]{layer position} documentation. +}} \item{na.rm}{remove na values} diff --git a/man/geom_gene_label.Rd b/man/geom_gene_label.Rd index c626b58..fc4998d 100644 --- a/man/geom_gene_label.Rd +++ b/man/geom_gene_label.Rd @@ -67,10 +67,33 @@ from a \code{formula} (e.g. \code{~ head(.x, 10)}).} \item{size}{of the label} -\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}. These are -often aesthetics, used to set an aesthetic to a fixed value, like -\code{colour = "red"} or \code{size = 3}. They may also be parameters -to the paired geom/stat.} +\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These +arguments broadly fall into one of 4 categories below. Notably, further +arguments to the \code{position} argument, or aesthetics that are required +can \emph{not} be passed through \code{...}. Unknown arguments that are not part +of the 4 categories below are ignored. +\itemize{ +\item Static aesthetics that are not mapped to a scale, but are at a fixed +value and apply to the layer as a whole. For example, \code{colour = "red"} +or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} +section that lists the available options. The 'required' aesthetics +cannot be passed on to the \code{params}. Please note that while passing +unmapped aesthetics as vectors is technically possible, the order and +required length is not guaranteed to be parallel to the input data. +\item When constructing a layer using +a \verb{stat_*()} function, the \code{...} argument can be used to pass on +parameters to the \code{geom} part of the layer. An example of this is +\code{stat_density(geom = "area", outline.type = "both")}. The geom's +documentation lists which parameters it can accept. +\item Inversely, when constructing a layer using a +\verb{geom_*()} function, the \code{...} argument can be used to pass on parameters +to the \code{stat} part of the layer. An example of this is +\code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation +lists which parameters it can accept. +\item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through +\code{...}. This can be one of the functions described as +\link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. +}} \item{vjust}{Moves the text vertically} diff --git a/man/geom_link.Rd b/man/geom_link.Rd index bcdfc7d..4b27704 100644 --- a/man/geom_link.Rd +++ b/man/geom_link.Rd @@ -49,15 +49,31 @@ the plot data. The return value must be a \code{data.frame}, and will be used as the layer data. A \code{function} can be created from a \code{formula} (e.g. \code{~ head(.x, 10)}).} -\item{stat}{The statistical transformation to use on the data for this -layer, either as a \code{ggproto} \code{Geom} subclass or as a string naming the -stat stripped of the \code{stat_} prefix (e.g. \code{"count"} rather than -\code{"stat_count"})} - -\item{position}{Position adjustment, either as a string naming the adjustment -(e.g. \code{"jitter"} to use \code{position_jitter}), or the result of a call to a -position adjustment function. Use the latter if you need to change the -settings of the adjustment.} +\item{stat}{The statistical transformation to use on the data for this layer. +When using a \verb{geom_*()} function to construct a layer, the \code{stat} +argument can be used the override the default coupling between geoms and +stats. The \code{stat} argument accepts the following: +\itemize{ +\item A \code{Stat} ggproto subclass, for example \code{StatCount}. +\item A string naming the stat. To give the stat as a string, strip the +function name of the \code{stat_} prefix. For example, to use \code{stat_count()}, +give the stat as \code{"count"}. +\item For more information and other ways to specify the stat, see the +\link[ggplot2:layer_stats]{layer stat} documentation. +}} + +\item{position}{A position adjustment to use on the data for this layer. This +can be used in various ways, including to prevent overplotting and +improving the display. The \code{position} argument accepts the following: +\itemize{ +\item The result of calling a position function, such as \code{position_jitter()}. +This method allows for passing extra arguments to the position. +\item A string naming the position adjustment. To give the position as a +string, strip the function name of the \code{position_} prefix. For example, +to use \code{position_jitter()}, give the position as \code{"jitter"}. +\item For more information and other ways to specify the position, see the +\link[ggplot2:layer_positions]{layer position} documentation. +}} \item{na.rm}{If \code{FALSE}, the default, missing values are removed with a warning. If \code{TRUE}, missing values are silently removed.} @@ -76,10 +92,33 @@ the default plot specification, e.g. \code{\link[ggplot2:borders]{borders()}}.} \item{offset}{distance between seq center and link start. Use two values \verb{c(, )} for different top and bottom offsets} -\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}. These are -often aesthetics, used to set an aesthetic to a fixed value, like -\code{colour = "red"} or \code{size = 3}. They may also be parameters -to the paired geom/stat.} +\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These +arguments broadly fall into one of 4 categories below. Notably, further +arguments to the \code{position} argument, or aesthetics that are required +can \emph{not} be passed through \code{...}. Unknown arguments that are not part +of the 4 categories below are ignored. +\itemize{ +\item Static aesthetics that are not mapped to a scale, but are at a fixed +value and apply to the layer as a whole. For example, \code{colour = "red"} +or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} +section that lists the available options. The 'required' aesthetics +cannot be passed on to the \code{params}. Please note that while passing +unmapped aesthetics as vectors is technically possible, the order and +required length is not guaranteed to be parallel to the input data. +\item When constructing a layer using +a \verb{stat_*()} function, the \code{...} argument can be used to pass on +parameters to the \code{geom} part of the layer. An example of this is +\code{stat_density(geom = "area", outline.type = "both")}. The geom's +documentation lists which parameters it can accept. +\item Inversely, when constructing a layer using a +\verb{geom_*()} function, the \code{...} argument can be used to pass on parameters +to the \code{stat} part of the layer. An example of this is +\code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation +lists which parameters it can accept. +\item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through +\code{...}. This can be one of the functions described as +\link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. +}} } \description{ Draws connections between genomes, such as genome/gene/protein diff --git a/man/geom_seq.Rd b/man/geom_seq.Rd index ad0d802..20c619c 100644 --- a/man/geom_seq.Rd +++ b/man/geom_seq.Rd @@ -16,10 +16,33 @@ mapping.} \item{arrow}{set to non-NULL to generate default arrows} -\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}. These are -often aesthetics, used to set an aesthetic to a fixed value, like -\code{colour = "red"} or \code{size = 3}. They may also be parameters -to the paired geom/stat.} +\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These +arguments broadly fall into one of 4 categories below. Notably, further +arguments to the \code{position} argument, or aesthetics that are required +can \emph{not} be passed through \code{...}. Unknown arguments that are not part +of the 4 categories below are ignored. +\itemize{ +\item Static aesthetics that are not mapped to a scale, but are at a fixed +value and apply to the layer as a whole. For example, \code{colour = "red"} +or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} +section that lists the available options. The 'required' aesthetics +cannot be passed on to the \code{params}. Please note that while passing +unmapped aesthetics as vectors is technically possible, the order and +required length is not guaranteed to be parallel to the input data. +\item When constructing a layer using +a \verb{stat_*()} function, the \code{...} argument can be used to pass on +parameters to the \code{geom} part of the layer. An example of this is +\code{stat_density(geom = "area", outline.type = "both")}. The geom's +documentation lists which parameters it can accept. +\item Inversely, when constructing a layer using a +\verb{geom_*()} function, the \code{...} argument can be used to pass on parameters +to the \code{stat} part of the layer. An example of this is +\code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation +lists which parameters it can accept. +\item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through +\code{...}. This can be one of the functions described as +\link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. +}} } \value{ Sequence data drawn as contigs is added as a layer/component to the plot. diff --git a/man/geom_seq_break.Rd b/man/geom_seq_break.Rd index 65bfb66..7bce7b2 100644 --- a/man/geom_seq_break.Rd +++ b/man/geom_seq_break.Rd @@ -40,10 +40,18 @@ different start and end decorations, e.g. \code{label=c("]", "[")}.} \item{family}{font family of the text} -\item{stat}{The statistical transformation to use on the data for this -layer, either as a \code{ggproto} \code{Geom} subclass or as a string naming the -stat stripped of the \code{stat_} prefix (e.g. \code{"count"} rather than -\code{"stat_count"})} +\item{stat}{The statistical transformation to use on the data for this layer. +When using a \verb{geom_*()} function to construct a layer, the \code{stat} +argument can be used the override the default coupling between geoms and +stats. The \code{stat} argument accepts the following: +\itemize{ +\item A \code{Stat} ggproto subclass, for example \code{StatCount}. +\item A string naming the stat. To give the stat as a string, strip the +function name of the \code{stat_} prefix. For example, to use \code{stat_count()}, +give the stat as \code{"count"}. +\item For more information and other ways to specify the stat, see the +\link[ggplot2:layer_stats]{layer stat} documentation. +}} \item{na.rm}{If \code{FALSE}, the default, missing values are removed with a warning. If \code{TRUE}, missing values are silently removed.} @@ -59,10 +67,33 @@ rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. \code{\link[ggplot2:borders]{borders()}}.} -\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}. These are -often aesthetics, used to set an aesthetic to a fixed value, like -\code{colour = "red"} or \code{size = 3}. They may also be parameters -to the paired geom/stat.} +\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These +arguments broadly fall into one of 4 categories below. Notably, further +arguments to the \code{position} argument, or aesthetics that are required +can \emph{not} be passed through \code{...}. Unknown arguments that are not part +of the 4 categories below are ignored. +\itemize{ +\item Static aesthetics that are not mapped to a scale, but are at a fixed +value and apply to the layer as a whole. For example, \code{colour = "red"} +or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} +section that lists the available options. The 'required' aesthetics +cannot be passed on to the \code{params}. Please note that while passing +unmapped aesthetics as vectors is technically possible, the order and +required length is not guaranteed to be parallel to the input data. +\item When constructing a layer using +a \verb{stat_*()} function, the \code{...} argument can be used to pass on +parameters to the \code{geom} part of the layer. An example of this is +\code{stat_density(geom = "area", outline.type = "both")}. The geom's +documentation lists which parameters it can accept. +\item Inversely, when constructing a layer using a +\verb{geom_*()} function, the \code{...} argument can be used to pass on parameters +to the \code{stat} part of the layer. An example of this is +\code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation +lists which parameters it can accept. +\item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through +\code{...}. This can be one of the functions described as +\link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. +}} } \description{ \code{geom_seq_break()} adds decorations to the ends of truncated sequences. These diff --git a/man/geom_seq_label.Rd b/man/geom_seq_label.Rd index dff768c..ca28350 100644 --- a/man/geom_seq_label.Rd +++ b/man/geom_seq_label.Rd @@ -44,10 +44,33 @@ from a \code{formula} (e.g. \code{~ head(.x, 10)}).} \item{size}{of the label} -\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}. These are -often aesthetics, used to set an aesthetic to a fixed value, like -\code{colour = "red"} or \code{size = 3}. They may also be parameters -to the paired geom/stat.} +\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These +arguments broadly fall into one of 4 categories below. Notably, further +arguments to the \code{position} argument, or aesthetics that are required +can \emph{not} be passed through \code{...}. Unknown arguments that are not part +of the 4 categories below are ignored. +\itemize{ +\item Static aesthetics that are not mapped to a scale, but are at a fixed +value and apply to the layer as a whole. For example, \code{colour = "red"} +or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} +section that lists the available options. The 'required' aesthetics +cannot be passed on to the \code{params}. Please note that while passing +unmapped aesthetics as vectors is technically possible, the order and +required length is not guaranteed to be parallel to the input data. +\item When constructing a layer using +a \verb{stat_*()} function, the \code{...} argument can be used to pass on +parameters to the \code{geom} part of the layer. An example of this is +\code{stat_density(geom = "area", outline.type = "both")}. The geom's +documentation lists which parameters it can accept. +\item Inversely, when constructing a layer using a +\verb{geom_*()} function, the \code{...} argument can be used to pass on parameters +to the \code{stat} part of the layer. An example of this is +\code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation +lists which parameters it can accept. +\item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through +\code{...}. This can be one of the functions described as +\link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. +}} } \description{ This function will put labels at each individual sequence. diff --git a/man/geom_variant.Rd b/man/geom_variant.Rd index 4d3a671..8375d9e 100644 --- a/man/geom_variant.Rd +++ b/man/geom_variant.Rd @@ -51,10 +51,33 @@ the default plot specification, e.g. \code{\link[ggplot2:borders]{borders()}}.} \item{offset}{Numeric value describing how far the points will be drawn from the base/sequence. By default it is set on \code{offset = 0}.} -\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}. These are -often aesthetics, used to set an aesthetic to a fixed value, like -\code{colour = "red"} or \code{size = 3}. They may also be parameters -to the paired geom/stat.} +\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These +arguments broadly fall into one of 4 categories below. Notably, further +arguments to the \code{position} argument, or aesthetics that are required +can \emph{not} be passed through \code{...}. Unknown arguments that are not part +of the 4 categories below are ignored. +\itemize{ +\item Static aesthetics that are not mapped to a scale, but are at a fixed +value and apply to the layer as a whole. For example, \code{colour = "red"} +or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} +section that lists the available options. The 'required' aesthetics +cannot be passed on to the \code{params}. Please note that while passing +unmapped aesthetics as vectors is technically possible, the order and +required length is not guaranteed to be parallel to the input data. +\item When constructing a layer using +a \verb{stat_*()} function, the \code{...} argument can be used to pass on +parameters to the \code{geom} part of the layer. An example of this is +\code{stat_density(geom = "area", outline.type = "both")}. The geom's +documentation lists which parameters it can accept. +\item Inversely, when constructing a layer using a +\verb{geom_*()} function, the \code{...} argument can be used to pass on parameters +to the \code{stat} part of the layer. An example of this is +\code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation +lists which parameters it can accept. +\item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through +\code{...}. This can be one of the functions described as +\link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. +}} } \description{ geom_variant allows the user to draw points at locations where a mutation has occured. diff --git a/man/geom_wiggle.Rd b/man/geom_wiggle.Rd index dc57e87..60e85d9 100644 --- a/man/geom_wiggle.Rd +++ b/man/geom_wiggle.Rd @@ -56,19 +56,44 @@ the plot data. The return value must be a \code{data.frame}, and will be used as the layer data. A \code{function} can be created from a \code{formula} (e.g. \code{~ head(.x, 10)}).} -\item{stat}{The statistical transformation to use on the data for this -layer, either as a \code{ggproto} \code{Geom} subclass or as a string naming the -stat stripped of the \code{stat_} prefix (e.g. \code{"count"} rather than -\code{"stat_count"})} - -\item{geom}{The geometric object to use to display the data, either as a -\code{ggproto} \code{Geom} subclass or as a string naming the geom stripped of the -\code{geom_} prefix (e.g. \code{"point"} rather than \code{"geom_point"})} - -\item{position}{Position adjustment, either as a string naming the adjustment -(e.g. \code{"jitter"} to use \code{position_jitter}), or the result of a call to a -position adjustment function. Use the latter if you need to change the -settings of the adjustment.} +\item{stat}{The statistical transformation to use on the data for this layer. +When using a \verb{geom_*()} function to construct a layer, the \code{stat} +argument can be used the override the default coupling between geoms and +stats. The \code{stat} argument accepts the following: +\itemize{ +\item A \code{Stat} ggproto subclass, for example \code{StatCount}. +\item A string naming the stat. To give the stat as a string, strip the +function name of the \code{stat_} prefix. For example, to use \code{stat_count()}, +give the stat as \code{"count"}. +\item For more information and other ways to specify the stat, see the +\link[ggplot2:layer_stats]{layer stat} documentation. +}} + +\item{geom}{The geometric object to use to display the data for this layer. +When using a \verb{stat_*()} function to construct a layer, the \code{geom} argument +can be used to override the default coupling between stats and geoms. The +\code{geom} argument accepts the following: +\itemize{ +\item A \code{Geom} ggproto subclass, for example \code{GeomPoint}. +\item A string naming the geom. To give the geom as a string, strip the +function name of the \code{geom_} prefix. For example, to use \code{geom_point()}, +give the geom as \code{"point"}. +\item For more information and other ways to specify the geom, see the +\link[ggplot2:layer_geoms]{layer geom} documentation. +}} + +\item{position}{A position adjustment to use on the data for this layer. This +can be used in various ways, including to prevent overplotting and +improving the display. The \code{position} argument accepts the following: +\itemize{ +\item The result of calling a position function, such as \code{position_jitter()}. +This method allows for passing extra arguments to the position. +\item A string naming the position adjustment. To give the position as a +string, strip the function name of the \code{position_} prefix. For example, +to use \code{position_jitter()}, give the position as \code{"jitter"}. +\item For more information and other ways to specify the position, see the +\link[ggplot2:layer_positions]{layer position} documentation. +}} \item{na.rm}{If \code{FALSE}, the default, missing values are removed with a warning. If \code{TRUE}, missing values are silently removed.} @@ -91,10 +116,33 @@ the default plot specification, e.g. \code{\link[ggplot2:borders]{borders()}}.} \item{max}{geom_coverage uses the function \link[base:Extremes]{base::max} by default, which plots data in positive direction. (\link[base:Extremes]{base::min} Can also be called here when the input data )} -\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}. These are -often aesthetics, used to set an aesthetic to a fixed value, like -\code{colour = "red"} or \code{size = 3}. They may also be parameters -to the paired geom/stat.} +\item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These +arguments broadly fall into one of 4 categories below. Notably, further +arguments to the \code{position} argument, or aesthetics that are required +can \emph{not} be passed through \code{...}. Unknown arguments that are not part +of the 4 categories below are ignored. +\itemize{ +\item Static aesthetics that are not mapped to a scale, but are at a fixed +value and apply to the layer as a whole. For example, \code{colour = "red"} +or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} +section that lists the available options. The 'required' aesthetics +cannot be passed on to the \code{params}. Please note that while passing +unmapped aesthetics as vectors is technically possible, the order and +required length is not guaranteed to be parallel to the input data. +\item When constructing a layer using +a \verb{stat_*()} function, the \code{...} argument can be used to pass on +parameters to the \code{geom} part of the layer. An example of this is +\code{stat_density(geom = "area", outline.type = "both")}. The geom's +documentation lists which parameters it can accept. +\item Inversely, when constructing a layer using a +\verb{geom_*()} function, the \code{...} argument can be used to pass on parameters +to the \code{stat} part of the layer. An example of this is +\code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation +lists which parameters it can accept. +\item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through +\code{...}. This can be one of the functions described as +\link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. +}} \item{bounds}{geom_wiggle uses mid, low and high boundary values for plotting wiggle data. Can be both a function or a vector returning those three values. Defaults to diff --git a/man/read_bed.Rd b/man/read_bed.Rd index 8128713..a980803 100644 --- a/man/read_bed.Rd +++ b/man/read_bed.Rd @@ -57,7 +57,7 @@ character represents one column: By default, reading a file without a column specification will print a message showing what \code{readr} guessed they were. To remove this message, -set \code{show_col_types = FALSE} or set `options(readr.show_col_types = FALSE).} +set \code{show_col_types = FALSE} or set \code{options(readr.show_col_types = FALSE)}.} \item{...}{additional parameters, passed to \code{read_tsv}} } diff --git a/man/read_seq_len.Rd b/man/read_seq_len.Rd index 32cb64c..07f2d1d 100644 --- a/man/read_seq_len.Rd +++ b/man/read_seq_len.Rd @@ -5,74 +5,19 @@ \alias{read_fai} \title{Read sequence index} \usage{ -read_seq_len( - file, - col_names = def_names("seq_len"), - col_types = def_types("seq_len"), - ... -) +read_seq_len(file) read_fai(file, col_names = def_names("fai"), col_types = def_types("fai"), ...) } \arguments{ \item{file}{with sequence length information} - -\item{col_names}{Either \code{TRUE}, \code{FALSE} or a character vector -of column names. - -If \code{TRUE}, the first row of the input will be used as the column -names, and will not be included in the data frame. If \code{FALSE}, column -names will be generated automatically: X1, X2, X3 etc. - -If \code{col_names} is a character vector, the values will be used as the -names of the columns, and the first row of the input will be read into -the first row of the output data frame. - -Missing (\code{NA}) column names will generate a warning, and be filled -in with dummy names \code{...1}, \code{...2} etc. Duplicate column names -will generate a warning and be made unique, see \code{name_repair} to control -how this is done.} - -\item{col_types}{One of \code{NULL}, a \code{\link[readr:cols]{cols()}} specification, or -a string. See \code{vignette("readr")} for more details. - -If \code{NULL}, all column types will be inferred from \code{guess_max} rows of the -input, interspersed throughout the file. This is convenient (and fast), -but not robust. If the guessed types are wrong, you'll need to increase -\code{guess_max} or supply the correct types yourself. - -Column specifications created by \code{\link[=list]{list()}} or \code{\link[readr:cols]{cols()}} must contain -one column specification for each column. If you only want to read a -subset of the columns, use \code{\link[readr:cols_only]{cols_only()}}. - -Alternatively, you can use a compact string representation where each -character represents one column: -\itemize{ -\item c = character -\item i = integer -\item n = number -\item d = double -\item l = logical -\item f = factor -\item D = date -\item T = date time -\item t = time -\item ? = guess -\item _ or - = skip -} - -By default, reading a file without a column specification will print a -message showing what \code{readr} guessed they were. To remove this message, -set \code{show_col_types = FALSE} or set `options(readr.show_col_types = FALSE).} - -\item{...}{additional parameters, passed to \code{read_tsv}} } \description{ Read sequence index } \section{Functions}{ \itemize{ -\item \code{read_seq_len()}: read seqs from a single file in fasta, gbk or gff3 format. +\item \code{read_seq_len()}: read seqs from a single file_name in fasta, gbk or gff3 format. \item \code{read_fai()}: read seqs from a single file in seqkit/samtools fai format. From d2f6bc839dbbcc57379cb100a9125d1033d1acc6 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Thu, 6 Jun 2024 14:50:13 +0200 Subject: [PATCH 06/25] Ignore vscode in R build --- .Rbuildignore | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.Rbuildignore b/.Rbuildignore index cea0a52..9250374 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -8,4 +8,5 @@ ^R-deprecated$ ^data-raw$ ^pkgdown$ -^LICENSE.md$ \ No newline at end of file +^LICENSE.md$ +^\.vscode$ \ No newline at end of file From be9d8dee4f3cbdded389bd93458b191be6297e4c Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Thu, 6 Jun 2024 15:22:16 +0200 Subject: [PATCH 07/25] S3 generic/method consistency --- R/geom_wiggle.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/geom_wiggle.R b/R/geom_wiggle.R index 2778d9e..1323dd7 100644 --- a/R/geom_wiggle.R +++ b/R/geom_wiggle.R @@ -78,6 +78,6 @@ as_bounds <- function(.f, ...) { #' @export as_bounds.default <- purrr__as_mapper.default #' @export -as_bounds.numeric <- function(.f){ +as_bounds.numeric <- function(.f, ...){ function(...) .f } From 997408a512b516f5d4ef47239c6294c47db44c95 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Fri, 7 Jun 2024 22:10:27 +0200 Subject: [PATCH 08/25] Fix warnings about usage sections --- .gitignore | 1 + R/coords.R | 1 - R/read_seqs.R | 2 ++ R/seqs.R | 5 +++-- R/subfeats.R | 3 ++- R/sublinks.R | 4 +++- gggenomes_1.0.0.tar.gz | Bin 4534734 -> 0 bytes man/as_seqs.Rd | 8 +++++++ man/as_subfeats.Rd | 23 +++++++++++++++---- man/as_sublinks.Rd | 26 +++++++++++++++++---- man/read_seq_len.Rd | 50 +++++++++++++++++++++++++++++++++++++++++ man/x.Rd | 6 +---- 12 files changed, 111 insertions(+), 18 deletions(-) delete mode 100644 gggenomes_1.0.0.tar.gz diff --git a/.gitignore b/.gitignore index 77ff493..49b8d08 100644 --- a/.gitignore +++ b/.gitignore @@ -11,3 +11,4 @@ vignettes-manual-export/ /Meta/ gggenomes.Rcheck .vscode +gggenomes_*.tar.gz diff --git a/R/coords.R b/R/coords.R index ddb1fb2..d78f9c5 100644 --- a/R/coords.R +++ b/R/coords.R @@ -8,7 +8,6 @@ anchor <- function(x, start, strand){ #' Project feat coordinates into layout space #' -#' @param seq_anchor the virtual x-start of the full length sequence in plot #' space #' @keywords internal x <- function(start, end, strand, seq_x, seq_start, seq_strand){ diff --git a/R/read_seqs.R b/R/read_seqs.R index f4906a8..31e4a68 100644 --- a/R/read_seqs.R +++ b/R/read_seqs.R @@ -104,6 +104,8 @@ read_seq_len <- function(file) { #' @describeIn read_seq_len read seqs from a single file in seqkit/samtools fai format. #' @export +#' @inheritParams readr::read_tsv +#' @param ... additional parameters, passed to `read_tsv` read_fai <- function(file, col_names=def_names("fai"), col_types=def_types("fai"), ...){ df <- readr::read_tsv(file, col_types, col_names=F, ...) %>% diff --git a/R/seqs.R b/R/seqs.R index 336e91e..d4ecf89 100644 --- a/R/seqs.R +++ b/R/seqs.R @@ -6,7 +6,6 @@ #' Obligatory columns are `seq_id`, `bin_id` and `length`. #' #' @param x an object convertible to a sequence layout -#' @param everything set to FALSE to drop optional columns #' @param ... pass through to `layout_seqs()` #' @return an tbl_df with plot coordinates #' @examples @@ -29,7 +28,9 @@ as_seqs.default <- function(x, ...) { } #' @export -as_seqs.tbl_df <- function(x, everything=TRUE, ...){ +#' @describeIn as_seqs Convert a list of tibbles into a seq layout +#' @param everything set to FALSE to drop optional columns +as_seqs.tbl_df <- function(x, everything = TRUE, ...){ vars <- c("seq_id","bin_id","length") require_vars(x, vars) diff --git a/R/subfeats.R b/R/subfeats.R index c9e6ff5..1945050 100644 --- a/R/subfeats.R +++ b/R/subfeats.R @@ -66,7 +66,6 @@ add_subfeat_tracks <- function(x, parent_track_id, tracks, transform){ #' @param feats the parent feats the subfeats map onto. #' @param everything set to FALSE to drop optional columns #' @param ... passed on to `layout_seqs()` -#' @param transform use if feats and subfeats are in different coordinate #' spaces, i.e. if matching nucleotide-level annotations to protein level #' annotations, e.g. genes and protein blast results. #' @return a tbl_df with plot coordinates @@ -83,6 +82,8 @@ as_subfeats.default <- function(x, seqs, feats, ..., everything=TRUE) { } #' @export +#' @describeIn as_subfeats Convert a list of tibbles into a feat layout +#' @param transform use if feats and subfeats are in different coordinate as_subfeats.tbl_df <- function(x, seqs, feats, ..., everything=TRUE, transform = c("none", "aa2nuc", "nuc2aa")){ transform <- match_arg(transform) diff --git a/R/sublinks.R b/R/sublinks.R index efb7f89..de243b0 100644 --- a/R/sublinks.R +++ b/R/sublinks.R @@ -66,7 +66,6 @@ add_sublink_tracks <- function(x, parent_track_id, tracks, transform){ #' @param feats the feats the sublinks map onto. #' @param everything set to FALSE to drop optional columns #' @param ... passed on to `layout_seqs()` -#' @param transform use if feats and sublinks are in different coordinate #' spaces, i.e. if matching nucleotide-level annotations to protein level #' annotations, e.g. genes and protein blast results. #' @return a tbl_df with plot coordinates @@ -83,6 +82,9 @@ as_sublinks.default <- function(x, seqs, feats, ..., everything=TRUE) { } #' @export +#' @describeIn as_sublinks Convert a list of tibbles into a link layout +#' @param transform use if feats and sublinks are in different coordinate +#' @param compute_layout set to FALSE to skip layout computation as_sublinks.tbl_df <- function(x, seqs, feats, ..., everything=TRUE, transform = c("none", "aa2nuc", "nuc2aa"), compute_layout=TRUE){ transform <- match.arg(transform) diff --git a/gggenomes_1.0.0.tar.gz b/gggenomes_1.0.0.tar.gz deleted file mode 100644 index 61a0708924f89895c8b956536f8f692ad9843f2b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 4534734 zcmV(=K-s?^iwFP!000001ML0ndfP^_CJPMo~9 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z;g@(4s^R3Y)ba?zSLg?o|7&?oKM=Ao7(i5H=6EV8qVA#okBAG^Vv@*Z$mx~;n#F(( zS@)BvTe4`C7ahR-j@%!1m_Ir^p8@`!H;%p!iZG+U%K-FqyQtPDdwP-sk%*dS0`s=e zz+$B(EokRI&`&wh-@(zUA)rR7MG*MK0cC+Zz(Zc|!2Ot(k z@K2|gqfQ<%JC0^^m^g*#MMRE=Bj;DCcA>7x{5m0G3fbTO(?W<_{LgH%I2``83yt6) zV2P*B9hvbTdXLCjJV{|`Rb zgZ-;4g@|x0^7Ef*U-8ca3JX^v!}*6&S6uY@73_ab)qmyF`2zkwvNjg`AF5f4T0mc= z{F%U6;q`@cykr*_q{OI&RghCqmHM-1DmKyKhc*s0qhtQ}@xPD%ef;m^e;@z1AOA1c Kvob9Jif#ZsmjA#2 diff --git a/man/as_seqs.Rd b/man/as_seqs.Rd index 0b3a7a1..b1522ed 100644 --- a/man/as_seqs.Rd +++ b/man/as_seqs.Rd @@ -2,9 +2,12 @@ % Please edit documentation in R/seqs.R \name{as_seqs} \alias{as_seqs} +\alias{as_seqs.tbl_df} \title{Compute a layout for sequence data} \usage{ as_seqs(x, ...) + +\method{as_seqs}{tbl_df}(x, everything = TRUE, ...) } \arguments{ \item{x}{an object convertible to a sequence layout} @@ -23,6 +26,11 @@ tidy dataframe and augment it with layout information necessary for plotting. \details{ Obligatory columns are \code{seq_id}, \code{bin_id} and \code{length}. } +\section{Methods (by class)}{ +\itemize{ +\item \code{as_seqs(tbl_df)}: Convert a list of tibbles into a seq layout + +}} \examples{ chr <- tibble::tibble( seq_id = c("a1", "b1", "b2"), diff --git a/man/as_subfeats.Rd b/man/as_subfeats.Rd index 3f99e47..201c0cf 100644 --- a/man/as_subfeats.Rd +++ b/man/as_subfeats.Rd @@ -2,9 +2,19 @@ % Please edit documentation in R/subfeats.R \name{as_subfeats} \alias{as_subfeats} +\alias{as_subfeats.tbl_df} \title{Compute a layout for subfeat data} \usage{ as_subfeats(x, seqs, feats, ..., everything = TRUE) + +\method{as_subfeats}{tbl_df}( + x, + seqs, + feats, + ..., + everything = TRUE, + transform = c("none", "aa2nuc", "nuc2aa") +) } \arguments{ \item{x}{subfeat data convertible to a feat layout} @@ -13,13 +23,13 @@ as_subfeats(x, seqs, feats, ..., everything = TRUE) \item{feats}{the parent feats the subfeats map onto.} -\item{...}{passed on to \code{layout_seqs()}} +\item{...}{passed on to \code{layout_seqs()} +spaces, i.e. if matching nucleotide-level annotations to protein level +annotations, e.g. genes and protein blast results.} \item{everything}{set to FALSE to drop optional columns} -\item{transform}{use if feats and subfeats are in different coordinate -spaces, i.e. if matching nucleotide-level annotations to protein level -annotations, e.g. genes and protein blast results.} +\item{transform}{use if feats and subfeats are in different coordinate} } \value{ a tbl_df with plot coordinates @@ -41,4 +51,9 @@ records that initially had \code{start < end} and "-" for \code{end < start} inp \code{strand} was provided, \code{start} and \code{end} will be reorganized to conform with \code{start < end} without any additional effect. } +\section{Methods (by class)}{ +\itemize{ +\item \code{as_subfeats(tbl_df)}: Convert a list of tibbles into a feat layout + +}} \keyword{internal} diff --git a/man/as_sublinks.Rd b/man/as_sublinks.Rd index 1da6b42..c51e4ee 100644 --- a/man/as_sublinks.Rd +++ b/man/as_sublinks.Rd @@ -2,9 +2,20 @@ % Please edit documentation in R/sublinks.R \name{as_sublinks} \alias{as_sublinks} +\alias{as_sublinks.tbl_df} \title{Compute a layout for links linking feats} \usage{ as_sublinks(x, seqs, feats, ..., everything = TRUE) + +\method{as_sublinks}{tbl_df}( + x, + seqs, + feats, + ..., + everything = TRUE, + transform = c("none", "aa2nuc", "nuc2aa"), + compute_layout = TRUE +) } \arguments{ \item{x}{sublink data convertible to a link layout} @@ -13,13 +24,15 @@ as_sublinks(x, seqs, feats, ..., everything = TRUE) \item{feats}{the feats the sublinks map onto.} -\item{...}{passed on to \code{layout_seqs()}} +\item{...}{passed on to \code{layout_seqs()} +spaces, i.e. if matching nucleotide-level annotations to protein level +annotations, e.g. genes and protein blast results.} \item{everything}{set to FALSE to drop optional columns} -\item{transform}{use if feats and sublinks are in different coordinate -spaces, i.e. if matching nucleotide-level annotations to protein level -annotations, e.g. genes and protein blast results.} +\item{transform}{use if feats and sublinks are in different coordinate} + +\item{compute_layout}{set to FALSE to skip layout computation} } \value{ a tbl_df with plot coordinates @@ -40,4 +53,9 @@ records that initially had \verb{start < end == start2 < end2} and "-" otherwise. If \code{strand} was provided, \code{start} and \code{end} will be reorganized to conform with \code{start < end} without any additional effect. } +\section{Methods (by class)}{ +\itemize{ +\item \code{as_sublinks(tbl_df)}: Convert a list of tibbles into a link layout + +}} \keyword{internal} diff --git a/man/read_seq_len.Rd b/man/read_seq_len.Rd index 07f2d1d..7093cf3 100644 --- a/man/read_seq_len.Rd +++ b/man/read_seq_len.Rd @@ -11,6 +11,56 @@ read_fai(file, col_names = def_names("fai"), col_types = def_types("fai"), ...) } \arguments{ \item{file}{with sequence length information} + +\item{col_names}{Either \code{TRUE}, \code{FALSE} or a character vector +of column names. + +If \code{TRUE}, the first row of the input will be used as the column +names, and will not be included in the data frame. If \code{FALSE}, column +names will be generated automatically: X1, X2, X3 etc. + +If \code{col_names} is a character vector, the values will be used as the +names of the columns, and the first row of the input will be read into +the first row of the output data frame. + +Missing (\code{NA}) column names will generate a warning, and be filled +in with dummy names \code{...1}, \code{...2} etc. Duplicate column names +will generate a warning and be made unique, see \code{name_repair} to control +how this is done.} + +\item{col_types}{One of \code{NULL}, a \code{\link[readr:cols]{cols()}} specification, or +a string. See \code{vignette("readr")} for more details. + +If \code{NULL}, all column types will be inferred from \code{guess_max} rows of the +input, interspersed throughout the file. This is convenient (and fast), +but not robust. If the guessed types are wrong, you'll need to increase +\code{guess_max} or supply the correct types yourself. + +Column specifications created by \code{\link[=list]{list()}} or \code{\link[readr:cols]{cols()}} must contain +one column specification for each column. If you only want to read a +subset of the columns, use \code{\link[readr:cols_only]{cols_only()}}. + +Alternatively, you can use a compact string representation where each +character represents one column: +\itemize{ +\item c = character +\item i = integer +\item n = number +\item d = double +\item l = logical +\item f = factor +\item D = date +\item T = date time +\item t = time +\item ? = guess +\item _ or - = skip +} + +By default, reading a file without a column specification will print a +message showing what \code{readr} guessed they were. To remove this message, +set \code{show_col_types = FALSE} or set \code{options(readr.show_col_types = FALSE)}.} + +\item{...}{additional parameters, passed to \code{read_tsv}} } \description{ Read sequence index diff --git a/man/x.Rd b/man/x.Rd index 1c20501..0473428 100644 --- a/man/x.Rd +++ b/man/x.Rd @@ -6,11 +6,7 @@ \usage{ x(start, end, strand, seq_x, seq_start, seq_strand) } -\arguments{ -\item{seq_anchor}{the virtual x-start of the full length sequence in plot -space} -} \description{ -Project feat coordinates into layout space +space } \keyword{internal} From 6288b46068ec226e22201e6cd6cb3884976caf37 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Fri, 7 Jun 2024 22:29:12 +0200 Subject: [PATCH 09/25] Fix note about ellipsis not being imported --- NAMESPACE | 1 + R/aaa.R | 8 ++++++++ 2 files changed, 9 insertions(+) diff --git a/NAMESPACE b/NAMESPACE index 440d218..b3dc072 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -197,6 +197,7 @@ export(track_info) export(unnest_exons) export(write_gff3) import(dplyr) +import(ellipsis) import(ggplot2) import(grid) import(rlang) diff --git a/R/aaa.R b/R/aaa.R index 1d2440b..b31af2a 100644 --- a/R/aaa.R +++ b/R/aaa.R @@ -127,3 +127,11 @@ ggplot2__make_labels <- utils::getFromNamespace("make_labels", "ggplot2") ellipsis__dots <- utils::getFromNamespace("dots", "ellipsis") scales__force_all <- utils::getFromNamespace("force_all", "scales") purrr__as_mapper.default <- utils::getFromNamespace("as_mapper.default", "purrr") + +# Additional fix for seamingly unused package in imports due to the workaround above +# https://forum.posit.co/t/new-r-cmd-check-note-in-r-4-2-0-for-imports-field/143153/4 +#' @import ellipsis +#' @noRd +dummy <- function() { + ellipsis::safe_median +} \ No newline at end of file From 28d51c146542c3e3c06de3e709ee20d7a87f7f6b Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Fri, 7 Jun 2024 23:04:29 +0200 Subject: [PATCH 10/25] Update rhub action --- .github/workflows/rhub.yaml | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/.github/workflows/rhub.yaml b/.github/workflows/rhub.yaml index ef504dd..83f1969 100644 --- a/.github/workflows/rhub.yaml +++ b/.github/workflows/rhub.yaml @@ -1,8 +1,8 @@ # R-hub's generic GitHub Actions workflow file. It's canonical location is at -# https://github.com/r-hub/rhub2/blob/v1/inst/workflow/rhub.yaml +# https://github.com/r-hub/actions/blob/v1/workflows/rhub.yaml # You can update this file to a newer version using the rhub2 package: # -# rhub2::rhub_setup() +# rhub::rhub_setup() # # It is unlikely that you need to modify this file manually. @@ -33,7 +33,7 @@ jobs: steps: # NO NEED TO CHECKOUT HERE - - uses: r-hub/rhub2/actions/rhub-setup@v1 + - uses: r-hub/actions/setup@v1 with: config: ${{ github.event.inputs.config }} id: rhub-setup @@ -51,16 +51,16 @@ jobs: image: ${{ matrix.config.container }} steps: - - uses: r-hub/rhub2/actions/rhub-checkout@v1 - - uses: r-hub/rhub2/actions/rhub-platform-info@v1 + - uses: r-hub/actions/checkout@v1 + - uses: r-hub/actions/platform-info@v1 with: token: ${{ secrets.RHUB_TOKEN }} job-config: ${{ matrix.config.job-config }} - - uses: r-hub/rhub2/actions/rhub-setup-deps@v1 + - uses: r-hub/actions/setup-deps@v1 with: token: ${{ secrets.RHUB_TOKEN }} job-config: ${{ matrix.config.job-config }} - - uses: r-hub/rhub2/actions/rhub-run-check@v1 + - uses: r-hub/actions/run-check@v1 with: token: ${{ secrets.RHUB_TOKEN }} job-config: ${{ matrix.config.job-config }} @@ -78,20 +78,20 @@ jobs: steps: - uses: r-lib/actions/setup-pandoc@v2 - uses: r-lib/actions/setup-tinytex@v2 - - uses: r-hub/rhub2/actions/rhub-checkout@v1 - - uses: r-hub/rhub2/actions/rhub-setup-r@v1 + - uses: r-hub/actions/checkout@v1 + - uses: r-hub/actions/setup-r@v1 with: job-config: ${{ matrix.config.job-config }} token: ${{ secrets.RHUB_TOKEN }} - - uses: r-hub/rhub2/actions/rhub-platform-info@v1 + - uses: r-hub/actions/platform-info@v1 with: token: ${{ secrets.RHUB_TOKEN }} job-config: ${{ matrix.config.job-config }} - - uses: r-hub/rhub2/actions/rhub-setup-deps@v1 + - uses: r-hub/actions/setup-deps@v1 with: job-config: ${{ matrix.config.job-config }} token: ${{ secrets.RHUB_TOKEN }} - - uses: r-hub/rhub2/actions/rhub-run-check@v1 + - uses: r-hub/actions/run-check@v1 with: job-config: ${{ matrix.config.job-config }} token: ${{ secrets.RHUB_TOKEN }} From 750564f1c3a222b1e9c08fee664459127bc1e66a Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Thu, 13 Jun 2024 22:45:04 +0200 Subject: [PATCH 11/25] Remove rtracklayer from Suggests --- DESCRIPTION | 1 - 1 file changed, 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index e0c8012..e7235da 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -43,7 +43,6 @@ Imports: ellipsis Suggests: testthat, - rtracklayer, ggtree, patchwork, Hmisc, From 33d69c943ff560cafb3bb6060a7010df2a3ee4db Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Wed, 19 Jun 2024 14:35:26 +0200 Subject: [PATCH 12/25] Fix package anchor for links in aesthetics --- R/aaa.R | 2 +- man/geom_gene.Rd | 16 ++++++++-------- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/R/aaa.R b/R/aaa.R index b31af2a..602e4c0 100644 --- a/R/aaa.R +++ b/R/aaa.R @@ -120,7 +120,7 @@ qc <- function(...) sapply(match.call()[-1], deparse) # CRAN Workaround for unexported useful tidyverse internals # https://stackoverflow.com/questions/32535773/using-un-exported-function-from-another-r-package ggplot2__ggname <- utils::getFromNamespace("ggname", "ggplot2") -ggplot2__rd_aesthetics <- utils::getFromNamespace("rd_aesthetics", "ggplot2") +ggplot2__rd_aesthetics <- \(x,y) utils::getFromNamespace("rd_aesthetics", "ggplot2")(x, y) |> stringr::str_replace(stringr::fixed("link[="), "link[ggplot2:") ggplot2__scales_list <- utils::getFromNamespace("scales_list", "ggplot2") ggplot2__guides_list <- utils::getFromNamespace("guides_list", "ggplot2") ggplot2__make_labels <- utils::getFromNamespace("make_labels", "ggplot2") diff --git a/man/geom_gene.Rd b/man/geom_gene.Rd index 141aede..7035b46 100644 --- a/man/geom_gene.Rd +++ b/man/geom_gene.Rd @@ -124,15 +124,15 @@ argument. \code{geom_gene()} understands the following aesthetics (required aesthetics are in bold): \itemize{ -\item \strong{\code{\link[=aes_position]{x}}} -\item \strong{\code{\link[=aes_position]{xend}}} -\item \strong{\code{\link[=aes_position]{y}}} -\item \code{\link[=aes_colour_fill_alpha]{alpha}} -\item \code{\link[=aes_colour_fill_alpha]{colour}} -\item \code{\link[=aes_colour_fill_alpha]{fill}} -\item \code{\link[=aes_group_order]{group}} +\item \strong{\code{\link[ggplot2:aes_position]{x}}} +\item \strong{\code{\link[ggplot2:aes_position]{xend}}} +\item \strong{\code{\link[ggplot2:aes_position]{y}}} +\item \code{\link[ggplot2:aes_colour_fill_alpha]{alpha}} +\item \code{\link[ggplot2:aes_colour_fill_alpha]{colour}} +\item \code{\link[ggplot2:aes_colour_fill_alpha]{fill}} +\item \code{\link[ggplot2:aes_group_order]{group}} \item \code{introns} -\item \code{\link[=aes_linetype_size_shape]{linetype}} +\item \code{\link[ggplot2:aes_linetype_size_shape]{linetype}} \item \code{stroke} \item \code{type} } From 6db524c7691d59700cd8b51a70d6ca39e505235c Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Wed, 19 Jun 2024 15:44:40 +0200 Subject: 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zf8dV9&d0;H&4IR*ubwLA$%+E6f`n^x&5cncu;w&M=sI1)ao&)8 zdyDpbS>u~S(Sah=5{A;hWkaizqTjUbty1}A07!hh8M9Z2O2J}nO13jUj1kvNhUr(< zU)s#AY3324PbOO=h56WhJ#2m~=7^0>jav4nF-g_noc?5GMcPwG#;UU6rd~efu5}$2 zG7088Rd1f#Y=6|duNhB^GCC!7GfvT(GLBR&Yu&&VlG;)crkKnyQkv^0xX$EG^0+#| z%i*(-?I%P~ST56ES@`+dYXwyo4vw2{RwuTbogQy{3BpFZkV?#rT_z3a1Dmma&`AP@W%aOp5W+xP!6MiwDr# zdsXs34{zWfp>zL_mi<3U`2W25Z|)boFFLFLW?@4F`G1g?KX%E<|8>25DBXobB8j+a z7`fV7x!Nh)oVLR^(pK56a#FGiQd?#9<>ZwWw<^oYO32D8%gR2Hq8|FMUpRTn_L#lb Y|Nj?WIk$YlFOak}4()xg+tTm<09AnUa{vGU From 2366529a350927e76030472b77d73a1c7a63a01c Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Wed, 19 Jun 2024 16:26:57 +0200 Subject: [PATCH 14/25] Compress ext gorg.gff file --- R/focus.R | 2 +- inst/extdata/gorg/gorg.gff | 3550 --------------------------------- inst/extdata/gorg/gorg.gff.xz | Bin 0 -> 79764 bytes man/focus.Rd | 2 +- 4 files changed, 2 insertions(+), 3552 deletions(-) delete mode 100644 inst/extdata/gorg/gorg.gff create mode 100644 inst/extdata/gorg/gorg.gff.xz diff --git a/R/focus.R b/R/focus.R index ffeda32..deb0793 100644 --- a/R/focus.R +++ b/R/focus.R @@ -54,7 +54,7 @@ #' # strip trailing number from contigs to get bins #' dplyr::mutate(bin_id = stringr::str_remove(seq_id, "_\\d+$")) #' # gene annotations from prokka -#' g0 <- read_feats(ex("gorg/gorg.gff")) +#' g0 <- read_feats(ex("gorg/gorg.gff.xz")) #' #' # best hits to the PADS Arsenal database of prokaryotic defense-system genes #' # $ mmseqs easy-search gorg.fna pads-arsenal-v1-prf gorg-pads-defense.o6 /tmp \ diff --git a/inst/extdata/gorg/gorg.gff b/inst/extdata/gorg/gorg.gff deleted file mode 100644 index 9d1f2ec..0000000 --- a/inst/extdata/gorg/gorg.gff +++ /dev/null @@ -1,3550 +0,0 @@ -##gff-version 3 -##sequence-region AG-313-A04_1 1 117986 -##sequence-region AG-313-A04_2 1 66434 -##sequence-region AG-313-A04_3 1 62139 -##sequence-region AG-313-A04_4 1 59270 -##sequence-region AG-313-A04_5 1 53333 -##sequence-region AG-313-A04_6 1 47859 -##sequence-region AG-313-A04_7 1 37440 -##sequence-region AG-313-A04_8 1 36768 -##sequence-region AG-313-A04_9 1 36299 -##sequence-region AG-313-A04_10 1 31687 -##sequence-region AG-313-A04_11 1 28226 -##sequence-region AG-313-A04_12 1 26247 -##sequence-region AG-313-A04_13 1 15365 -##sequence-region AG-313-A04_14 1 15102 -##sequence-region AG-313-A04_15 1 14467 -##sequence-region AG-313-A04_16 1 10893 -##sequence-region AG-313-A04_17 1 7881 -##sequence-region AG-313-A04_18 1 7864 -##sequence-region AG-313-A04_19 1 7824 -##sequence-region AG-313-A04_20 1 7593 -##sequence-region AG-313-A04_21 1 7454 -##sequence-region AG-313-A04_22 1 5928 -##sequence-region AG-313-A04_23 1 5473 -##sequence-region AG-313-A04_24 1 5428 -##sequence-region AG-313-A04_25 1 5220 -##sequence-region AG-313-A04_26 1 4483 -##sequence-region AG-313-A04_27 1 3304 -##sequence-region AG-313-A04_28 1 3291 -##sequence-region AG-313-A04_29 1 2824 -##sequence-region AG-313-A04_30 1 2500 -##sequence-region AG-313-A07_1 1 66518 -##sequence-region AG-313-A07_2 1 64691 -##sequence-region AG-313-A07_3 1 54482 -##sequence-region AG-313-A07_4 1 47031 -##sequence-region AG-313-A07_5 1 45833 -##sequence-region AG-313-A07_6 1 36631 -##sequence-region AG-313-A07_7 1 35486 -##sequence-region AG-313-A07_8 1 34591 -##sequence-region AG-313-A07_9 1 34269 -##sequence-region AG-313-A07_10 1 31875 -##sequence-region AG-313-A07_11 1 30850 -##sequence-region AG-313-A07_12 1 30043 -##sequence-region AG-313-A07_13 1 28410 -##sequence-region AG-313-A07_14 1 27641 -##sequence-region AG-313-A07_15 1 27225 -##sequence-region AG-313-A07_16 1 25472 -##sequence-region AG-313-A07_17 1 25259 -##sequence-region AG-313-A07_18 1 24568 -##sequence-region AG-313-A07_19 1 22304 -##sequence-region AG-313-A07_20 1 20954 -##sequence-region AG-313-A07_21 1 20900 -##sequence-region AG-313-A07_22 1 19824 -##sequence-region AG-313-A07_23 1 19397 -##sequence-region AG-313-A07_24 1 18873 -##sequence-region AG-313-A07_25 1 18630 -##sequence-region AG-313-A07_26 1 17381 -##sequence-region AG-313-A07_27 1 16537 -##sequence-region AG-313-A07_28 1 16467 -##sequence-region AG-313-A07_29 1 16091 -##sequence-region AG-313-A07_30 1 14814 -##sequence-region AG-313-A07_31 1 14804 -##sequence-region AG-313-A07_32 1 13668 -##sequence-region AG-313-A07_33 1 13585 -##sequence-region AG-313-A07_34 1 12958 -##sequence-region AG-313-A07_35 1 12814 -##sequence-region AG-313-A07_36 1 12782 -##sequence-region AG-313-A07_37 1 12547 -##sequence-region AG-313-A07_38 1 12158 -##sequence-region AG-313-A07_39 1 11508 -##sequence-region AG-313-A07_40 1 11426 -##sequence-region AG-313-A07_41 1 10822 -##sequence-region AG-313-A07_42 1 10503 -##sequence-region AG-313-A07_43 1 10147 -##sequence-region AG-313-A07_44 1 9537 -##sequence-region AG-313-A07_45 1 9360 -##sequence-region AG-313-A07_46 1 9200 -##sequence-region AG-313-A07_47 1 8713 -##sequence-region AG-313-A07_48 1 8433 -##sequence-region AG-313-A07_49 1 8264 -##sequence-region AG-313-A07_50 1 7492 -##sequence-region AG-313-A07_51 1 6976 -##sequence-region AG-313-A07_52 1 6642 -##sequence-region AG-313-A07_53 1 6102 -##sequence-region AG-313-A07_54 1 5918 -##sequence-region AG-313-A07_55 1 5390 -##sequence-region AG-313-A07_56 1 5339 -##sequence-region AG-313-A07_57 1 5323 -##sequence-region AG-313-A07_58 1 5154 -##sequence-region AG-313-A07_59 1 4946 -##sequence-region AG-313-A07_60 1 4734 -##sequence-region AG-313-A07_61 1 4541 -##sequence-region AG-313-A07_62 1 4502 -##sequence-region AG-313-A07_63 1 4379 -##sequence-region AG-313-A07_64 1 4373 -##sequence-region AG-313-A07_65 1 4326 -##sequence-region AG-313-A07_66 1 4279 -##sequence-region AG-313-A07_67 1 3993 -##sequence-region AG-313-A07_68 1 3928 -##sequence-region AG-313-A07_69 1 3678 -##sequence-region AG-313-A07_70 1 3609 -##sequence-region AG-313-A07_71 1 3311 -##sequence-region AG-313-A07_72 1 3246 -##sequence-region AG-313-A07_73 1 3148 -##sequence-region AG-313-A07_74 1 3109 -##sequence-region AG-313-A07_75 1 3079 -##sequence-region AG-313-A07_76 1 3006 -##sequence-region AG-313-A07_77 1 2993 -##sequence-region AG-313-A07_78 1 2990 -##sequence-region AG-313-A07_79 1 2935 -##sequence-region AG-313-A07_80 1 2912 -##sequence-region AG-313-A07_81 1 2700 -##sequence-region AG-313-A07_82 1 2658 -##sequence-region AG-313-A07_83 1 2610 -##sequence-region AG-313-A07_84 1 2565 -##sequence-region AG-313-A07_85 1 2554 -##sequence-region AG-313-A07_86 1 2539 -##sequence-region AG-313-A07_87 1 2526 -##sequence-region AG-313-A07_88 1 2505 -##sequence-region AG-313-A07_89 1 2357 -##sequence-region AG-313-A07_90 1 2331 -##sequence-region AG-313-A07_91 1 2290 -##sequence-region AG-313-A07_92 1 2286 -##sequence-region AG-313-A07_93 1 2274 -##sequence-region AG-313-A07_94 1 2223 -##sequence-region AG-313-A07_95 1 2026 -##sequence-region AG-313-A07_96 1 2014 -##sequence-region AG-313-A07_97 1 2003 -##sequence-region AG-313-A10_1 1 77038 -##sequence-region AG-313-A10_2 1 56748 -##sequence-region AG-313-A10_3 1 53580 -##sequence-region AG-313-A10_4 1 46885 -##sequence-region AG-313-A10_5 1 41373 -##sequence-region AG-313-A10_6 1 35927 -##sequence-region AG-313-A10_7 1 30428 -##sequence-region AG-313-A10_8 1 29562 -##sequence-region AG-313-A10_9 1 22864 -##sequence-region AG-313-A10_10 1 18580 -##sequence-region AG-313-A10_11 1 18441 -##sequence-region AG-313-A10_12 1 18385 -##sequence-region AG-313-A10_13 1 16648 -##sequence-region AG-313-A10_14 1 15801 -##sequence-region AG-313-A10_15 1 14607 -##sequence-region AG-313-A10_16 1 14578 -##sequence-region AG-313-A10_17 1 14052 -##sequence-region AG-313-A10_18 1 12788 -##sequence-region AG-313-A10_19 1 12766 -##sequence-region AG-313-A10_20 1 12676 -##sequence-region AG-313-A10_21 1 11081 -##sequence-region AG-313-A10_22 1 9543 -##sequence-region AG-313-A10_23 1 8944 -##sequence-region AG-313-A10_24 1 6598 -##sequence-region AG-313-A10_25 1 6483 -##sequence-region AG-313-A10_26 1 6132 -##sequence-region AG-313-A10_27 1 6090 -##sequence-region AG-313-A10_28 1 6062 -##sequence-region AG-313-A10_29 1 5960 -##sequence-region AG-313-A10_30 1 5688 -##sequence-region AG-313-A10_31 1 5267 -##sequence-region AG-313-A10_32 1 5246 -##sequence-region AG-313-A10_33 1 4805 -##sequence-region AG-313-A10_34 1 4581 -##sequence-region AG-313-A10_35 1 4411 -##sequence-region AG-313-A10_36 1 4378 -##sequence-region AG-313-A10_37 1 4205 -##sequence-region AG-313-A10_38 1 3894 -##sequence-region AG-313-A10_39 1 3509 -##sequence-region AG-313-A10_40 1 3014 -##sequence-region AG-313-A10_41 1 3007 -##sequence-region AG-313-A10_42 1 2818 -##sequence-region AG-313-A10_43 1 2612 -##sequence-region AG-313-A10_44 1 2567 -##sequence-region AG-313-A10_45 1 2381 -##sequence-region AG-313-A10_46 1 2158 -##sequence-region AG-313-A10_47 1 2036 -##sequence-region AG-313-A11_1 1 64299 -##sequence-region AG-313-A11_2 1 45542 -##sequence-region AG-313-A11_3 1 36494 -##sequence-region AG-313-A11_4 1 35435 -##sequence-region AG-313-A11_5 1 34654 -##sequence-region AG-313-A11_6 1 31472 -##sequence-region AG-313-A11_7 1 29001 -##sequence-region AG-313-A11_8 1 26594 -##sequence-region AG-313-A11_9 1 25612 -##sequence-region AG-313-A11_10 1 22619 -##sequence-region AG-313-A11_11 1 22371 -##sequence-region AG-313-A11_12 1 22111 -##sequence-region AG-313-A11_13 1 21769 -##sequence-region AG-313-A11_14 1 20290 -##sequence-region AG-313-A11_15 1 17650 -##sequence-region AG-313-A11_16 1 17405 -##sequence-region AG-313-A11_17 1 14850 -##sequence-region AG-313-A11_18 1 14140 -##sequence-region AG-313-A11_19 1 12811 -##sequence-region AG-313-A11_20 1 11133 -##sequence-region AG-313-A11_21 1 7330 -##sequence-region AG-313-A11_22 1 7242 -##sequence-region AG-313-A11_23 1 6510 -##sequence-region AG-313-A11_24 1 6205 -##sequence-region AG-313-A11_25 1 4264 -##sequence-region AG-313-A11_26 1 3577 -##sequence-region AG-313-A11_27 1 2877 -##sequence-region AG-313-A11_28 1 2639 -##sequence-region AG-313-A11_29 1 2531 -##sequence-region AG-313-A11_30 1 2514 -##sequence-region AG-313-A11_31 1 2475 -##sequence-region AG-313-A11_32 1 2467 -##sequence-region AG-313-A11_33 1 2368 -##sequence-region AG-313-A11_34 1 2348 -##sequence-region AG-313-A11_35 1 2066 -AG-313-A04_1 Prodigal:2.6 CDS 150 1832 . + 0 ID=AG-313-A04_00001;Name=yidC;gene=yidC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1R4M9;locus_tag=AG-313-A04_00001;product=Membrane protein insertase YidC -AG-313-A04_1 Prodigal:2.6 CDS 1833 2702 . + 0 ID=AG-313-A04_00002;eC_number=2.7.2.8;Name=argB;gene=argB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X2A4;locus_tag=AG-313-A04_00002;product=Acetylglutamate kinase -AG-313-A04_1 Prodigal:2.6 CDS 2699 3364 . + 0 ID=AG-313-A04_00003;eC_number=3.1.3.77;Name=mtnC;gene=mtnC;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01681;locus_tag=AG-313-A04_00003;product=Enolase-phosphatase E1 -AG-313-A04_1 Prodigal:2.6 CDS 3351 4178 . + 0 ID=AG-313-A04_00004;eC_number=2.3.1.117;Name=dapD;gene=dapD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8FV25;locus_tag=AG-313-A04_00004;product=2%2C3%2C4%2C5-tetrahydropyridine-2%2C6-dicarboxylate N-succinyltransferase -AG-313-A04_1 Prodigal:2.6 CDS 4178 5341 . + 0 ID=AG-313-A04_00005;eC_number=3.5.1.18;Name=dapE;gene=dapE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9JYL2;locus_tag=AG-313-A04_00005;product=Succinyl-diaminopimelate desuccinylase -AG-313-A04_1 Prodigal:2.6 CDS 5338 5796 . + 0 ID=AG-313-A04_00006;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00006;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 5840 6592 . + 0 ID=AG-313-A04_00007;eC_number=2.4.-.-;Name=tuaG;gene=tuaG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32268;locus_tag=AG-313-A04_00007;product=Putative teichuronic acid biosynthesis glycosyltransferase TuaG -AG-313-A04_1 Prodigal:2.6 CDS 6593 7333 . - 0 ID=AG-313-A04_00008;eC_number=5.4.99.12;Name=truA;gene=truA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07649;locus_tag=AG-313-A04_00008;product=tRNA pseudouridine synthase A -AG-313-A04_1 Prodigal:2.6 CDS 7335 8255 . - 0 ID=AG-313-A04_00009;eC_number=2.1.2.9;Name=fmt;gene=fmt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83AA8;locus_tag=AG-313-A04_00009;product=Methionyl-tRNA formyltransferase -AG-313-A04_1 Prodigal:2.6 CDS 8261 8785 . - 0 ID=AG-313-A04_00010;eC_number=3.5.1.88;Name=def;gene=def;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I7A8;locus_tag=AG-313-A04_00010;product=Peptide deformylase -AG-313-A04_1 Prodigal:2.6 CDS 8790 10523 . - 0 ID=AG-313-A04_00011;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00011;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 10504 10683 . - 0 ID=AG-313-A04_00012;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00012;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 10756 11259 . + 0 ID=AG-313-A04_00013;eC_number=2.7.1.71;Name=aroK;gene=aroK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67925;locus_tag=AG-313-A04_00013;product=Shikimate kinase -AG-313-A04_1 Prodigal:2.6 CDS 11252 12364 . + 0 ID=AG-313-A04_00014;eC_number=4.2.3.4;Name=aroB;gene=aroB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KNV2;locus_tag=AG-313-A04_00014;product=3-dehydroquinate synthase -AG-313-A04_1 Prodigal:2.6 CDS 12348 12605 . - 0 ID=AG-313-A04_00015;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00015;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 12636 13151 . + 0 ID=AG-313-A04_00016;Name=dnaJ;gene=dnaJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P30725;locus_tag=AG-313-A04_00016;product=Chaperone protein DnaJ -AG-313-A04_1 Prodigal:2.6 CDS 13148 14125 . + 0 ID=AG-313-A04_00017;eC_number=6.6.1.2;Name=cobS;gene=cobS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29933;locus_tag=AG-313-A04_00017;product=Aerobic cobaltochelatase subunit CobS -AG-313-A04_1 Prodigal:2.6 CDS 14127 15926 . + 0 ID=AG-313-A04_00018;eC_number=6.6.1.2;Name=cobT;gene=cobT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29934;locus_tag=AG-313-A04_00018;product=Aerobic cobaltochelatase subunit CobT -AG-313-A04_1 Prodigal:2.6 CDS 15923 16498 . - 0 ID=AG-313-A04_00019;Name=yhhQ;gene=yhhQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37619;locus_tag=AG-313-A04_00019;product=Inner membrane protein YhhQ -AG-313-A04_1 Prodigal:2.6 CDS 16506 16784 . - 0 ID=AG-313-A04_00020;Name=rpmB;gene=rpmB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NCH9;locus_tag=AG-313-A04_00020;product=50S ribosomal protein L28 -AG-313-A04_1 Prodigal:2.6 CDS 16826 17872 . - 0 ID=AG-313-A04_00021;eC_number=1.3.5.2;Name=pyrD;gene=pyrD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7E1;locus_tag=AG-313-A04_00021;product=Dihydroorotate dehydrogenase (quinone) -AG-313-A04_1 Prodigal:2.6 CDS 17872 19437 . - 0 ID=AG-313-A04_00022;eC_number=6.1.1.6;Name=lysS;gene=lysS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O51603;locus_tag=AG-313-A04_00022;product=Lysine--tRNA ligase -AG-313-A04_1 Prodigal:2.6 CDS 19533 20981 . + 0 ID=AG-313-A04_00023;Name=trkI;gene=trkI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:E1V6K4;locus_tag=AG-313-A04_00023;product=Trk system potassium uptake protein TrkI -AG-313-A04_1 Prodigal:2.6 CDS 20985 22358 . + 0 ID=AG-313-A04_00024;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00024;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 22351 23088 . + 0 ID=AG-313-A04_00025;eC_number=3.4.-.-;Name=ykfC;gene=ykfC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O35010;locus_tag=AG-313-A04_00025;product=Gamma-D-glutamyl-L-lysine endopeptidase -AG-313-A04_1 Prodigal:2.6 CDS 23192 23428 . - 0 ID=AG-313-A04_00026;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00026;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 23519 23776 . - 0 ID=AG-313-A04_00027;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00027;product=hypothetical protein -AG-313-A04_1 Aragorn:1.2 tRNA 23910 23999 . - . ID=AG-313-A04_00028;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00028;product=tRNA-Ser(gga) -AG-313-A04_1 Prodigal:2.6 CDS 24013 25041 . - 0 ID=AG-313-A04_00029;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00029;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 25038 25859 . - 0 ID=AG-313-A04_00030;eC_number=2.1.1.306;Name=elmMII;gene=elmMII;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AJU1;locus_tag=AG-313-A04_00030;product=8-demethyl-8-(2-methoxy-alpha-L-rhamnosyl)-tetracenomycin-C 3'-O-methyltransferase -AG-313-A04_1 Prodigal:2.6 CDS 25881 26903 . - 0 ID=AG-313-A04_00031;eC_number=2.4.-.-;Name=tuaC;gene=tuaC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32272;locus_tag=AG-313-A04_00031;product=Putative teichuronic acid biosynthesis glycosyltransferase TuaC -AG-313-A04_1 Prodigal:2.6 CDS 26903 28711 . - 0 ID=AG-313-A04_00032;eC_number=3.6.5.-;Name=lepA;gene=lepA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60785;locus_tag=AG-313-A04_00032;product=Elongation factor 4 -AG-313-A04_1 Prodigal:2.6 CDS 28711 31113 . - 0 ID=AG-313-A04_00033;eC_number=6.1.1.20;Name=pheT;gene=pheT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07395;locus_tag=AG-313-A04_00033;product=Phenylalanine--tRNA ligase beta subunit -AG-313-A04_1 Prodigal:2.6 CDS 31110 32177 . - 0 ID=AG-313-A04_00034;eC_number=6.1.1.20;Name=pheS;gene=pheS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08312;locus_tag=AG-313-A04_00034;product=Phenylalanine--tRNA ligase alpha subunit -AG-313-A04_1 Prodigal:2.6 CDS 32226 32582 . - 0 ID=AG-313-A04_00035;Name=rplT;gene=rplT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NDR6;locus_tag=AG-313-A04_00035;product=50S ribosomal protein L20 -AG-313-A04_1 Prodigal:2.6 CDS 32584 32790 . - 0 ID=AG-313-A04_00036;Name=rpmI;gene=rpmI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NDR5;locus_tag=AG-313-A04_00036;product=50S ribosomal protein L35 -AG-313-A04_1 Prodigal:2.6 CDS 32852 33397 . - 0 ID=AG-313-A04_00037;Name=infC;gene=infC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P48516;locus_tag=AG-313-A04_00037;product=Translation initiation factor IF-3 -AG-313-A04_1 Prodigal:2.6 CDS 33398 35317 . - 0 ID=AG-313-A04_00038;eC_number=6.1.1.3;Name=thrS;gene=thrS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8M3;locus_tag=AG-313-A04_00038;product=Threonine--tRNA ligase -AG-313-A04_1 Prodigal:2.6 CDS 35317 36474 . - 0 ID=AG-313-A04_00039;eC_number=2.4.-.-;Name=cotSA;gene=cotSA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P46915;locus_tag=AG-313-A04_00039;product=Spore coat protein SA -AG-313-A04_1 Prodigal:2.6 CDS 36511 37266 . + 0 ID=AG-313-A04_00040;eC_number=4.2.99.20;Name=menH;gene=menH;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01660;locus_tag=AG-313-A04_00040;product=2-succinyl-6-hydroxy-2%2C4-cyclohexadiene-1-carboxylate synthase -AG-313-A04_1 Prodigal:2.6 CDS 37237 38115 . - 0 ID=AG-313-A04_00041;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00041;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 38115 42611 . - 0 ID=AG-313-A04_00042;eC_number=1.4.1.13;Name=gltB;gene=gltB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q05755;locus_tag=AG-313-A04_00042;product=Glutamate synthase [NADPH] large chain -AG-313-A04_1 Prodigal:2.6 CDS 42617 44062 . - 0 ID=AG-313-A04_00043;eC_number=1.4.1.13;Name=gltD;gene=gltD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q05756;locus_tag=AG-313-A04_00043;product=Glutamate synthase [NADPH] small chain -AG-313-A04_1 Prodigal:2.6 CDS 44227 44982 . + 0 ID=AG-313-A04_00044;eC_number=3.6.1.27;Name=uppP;gene=uppP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WFF9;locus_tag=AG-313-A04_00044;product=Undecaprenyl-diphosphatase -AG-313-A04_1 Aragorn:1.2 tRNA 45114 45190 . - . ID=AG-313-A04_00045;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00045;product=tRNA-Arg(acg) -AG-313-A04_1 Prodigal:2.6 CDS 45245 46543 . + 0 ID=AG-313-A04_00046;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00046;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 46563 47735 . + 0 ID=AG-313-A04_00047;eC_number=2.3.1.9;Name=phbA;gene=phbA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07097;locus_tag=AG-313-A04_00047;product=Acetyl-CoA acetyltransferase -AG-313-A04_1 Prodigal:2.6 CDS 47747 48640 . + 0 ID=AG-313-A04_00048;Name=acuC;gene=acuC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64376;locus_tag=AG-313-A04_00048;product=Acetoin utilization protein AcuC -AG-313-A04_1 Prodigal:2.6 CDS 48743 50674 . - 0 ID=AG-313-A04_00049;eC_number=6.2.1.1;Name=acs;gene=acs;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P27550;locus_tag=AG-313-A04_00049;product=Acetyl-coenzyme A synthetase -AG-313-A04_1 Prodigal:2.6 CDS 50944 53952 . + 0 ID=AG-313-A04_00050;eC_number=1.2.4.1;Name=aceE;gene=aceE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFG8;locus_tag=AG-313-A04_00050;product=Pyruvate dehydrogenase E1 component -AG-313-A04_1 Prodigal:2.6 CDS 53954 55216 . + 0 ID=AG-313-A04_00051;eC_number=2.3.1.12;Name=aceF;gene=aceF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06959;locus_tag=AG-313-A04_00051;product=Dihydrolipoyllysine-residue acetyltransferase component of pyruvate dehydrogenase complex -AG-313-A04_1 Prodigal:2.6 CDS 55241 56143 . + 0 ID=AG-313-A04_00052;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00052;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 56130 56507 . + 0 ID=AG-313-A04_00053;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00053;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 56514 57965 . + 0 ID=AG-313-A04_00054;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00054;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 57949 58647 . - 0 ID=AG-313-A04_00055;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00055;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 58689 61025 . - 0 ID=AG-313-A04_00056;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00056;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 61103 62107 . - 0 ID=AG-313-A04_00057;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00057;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 62171 63409 . - 0 ID=AG-313-A04_00058;eC_number=2.6.1.1;Name=aspC;gene=aspC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X0Y2;locus_tag=AG-313-A04_00058;product=Aspartate aminotransferase -AG-313-A04_1 Prodigal:2.6 CDS 63567 66032 . + 0 ID=AG-313-A04_00059;eC_number=3.6.4.-;Name=helY;gene=helY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WMR1;locus_tag=AG-313-A04_00059;product=putative helicase HelY -AG-313-A04_1 Prodigal:2.6 CDS 66036 66425 . + 0 ID=AG-313-A04_00060;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00060;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 66422 66763 . + 0 ID=AG-313-A04_00061;Name=fdxA;gene=fdxA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:D5AP15;locus_tag=AG-313-A04_00061;product=Ferredoxin-2 -AG-313-A04_1 Prodigal:2.6 CDS 66769 67443 . + 0 ID=AG-313-A04_00062;Name=carD;gene=carD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0R561;locus_tag=AG-313-A04_00062;product=RNA polymerase-binding transcription factor CarD -AG-313-A04_1 Prodigal:2.6 CDS 67778 69454 . - 0 ID=AG-313-A04_00063;eC_number=6.2.1.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53521;locus_tag=AG-313-A04_00063;product=Long-chain-fatty-acid--CoA ligase FadD15 -AG-313-A04_1 Aragorn:1.2 tRNA 69459 69545 . - . ID=AG-313-A04_00064;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00064;product=tRNA-Leu(caa) -AG-313-A04_1 Prodigal:2.6 CDS 69561 70406 . - 0 ID=AG-313-A04_00065;Name=panS;gene=panS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZKL0;locus_tag=AG-313-A04_00065;product=Pantothenate precursors transporter PanS -AG-313-A04_1 Prodigal:2.6 CDS 70424 71446 . - 0 ID=AG-313-A04_00066;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00066;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 71636 72235 . + 0 ID=AG-313-A04_00067;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00067;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 72232 72708 . + 0 ID=AG-313-A04_00068;Name=dsbB;gene=dsbB;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00286;locus_tag=AG-313-A04_00068;product=Disulfide bond formation protein B -AG-313-A04_1 Prodigal:2.6 CDS 72695 73228 . + 0 ID=AG-313-A04_00069;eC_number=1.14.13.-;Name=coq7;gene=coq7;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01658;locus_tag=AG-313-A04_00069;product=2-nonaprenyl-3-methyl-6-methoxy-1%2C4-benzoquinol hydroxylase -AG-313-A04_1 Prodigal:2.6 CDS 73229 73798 . - 0 ID=AG-313-A04_00070;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00070;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 73860 74516 . - 0 ID=AG-313-A04_00071;eC_number=3.1.1.1;Name=estB;gene=estB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q53547;locus_tag=AG-313-A04_00071;product=Carboxylesterase 2 -AG-313-A04_1 Prodigal:2.6 CDS 74533 74733 . + 0 ID=AG-313-A04_00072;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00072;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 74730 75257 . - 0 ID=AG-313-A04_00073;Name=tlpA;gene=tlpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P43221;locus_tag=AG-313-A04_00073;product=Thiol:disulfide interchange protein TlpA -AG-313-A04_1 Prodigal:2.6 CDS 75288 76667 . + 0 ID=AG-313-A04_00074;eC_number=4.3.2.1;Name=argH;gene=argH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SLL0;locus_tag=AG-313-A04_00074;product=Argininosuccinate lyase -AG-313-A04_1 Prodigal:2.6 CDS 76782 78011 . + 0 ID=AG-313-A04_00075;eC_number=4.1.1.20;Name=lysA;gene=lysA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67262;locus_tag=AG-313-A04_00075;product=Diaminopimelate decarboxylase -AG-313-A04_1 Prodigal:2.6 CDS 78011 78718 . + 0 ID=AG-313-A04_00076;eC_number=2.3.1.-;Name=plsC;gene=plsC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8DNY1;locus_tag=AG-313-A04_00076;product=1-acyl-sn-glycerol-3-phosphate acyltransferase -AG-313-A04_1 Prodigal:2.6 CDS 78719 79615 . - 0 ID=AG-313-A04_00077;eC_number=1.3.1.12;Name=tyrA;gene=tyrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O69721;locus_tag=AG-313-A04_00077;product=Prephenate dehydrogenase -AG-313-A04_1 Prodigal:2.6 CDS 79605 80690 . - 0 ID=AG-313-A04_00078;eC_number=2.6.1.9;Name=hisC;gene=hisC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P67725;locus_tag=AG-313-A04_00078;product=Histidinol-phosphate aminotransferase -AG-313-A04_1 Prodigal:2.6 CDS 80837 82006 . + 0 ID=AG-313-A04_00079;eC_number=2.3.1.31;Name=metX;gene=metX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8F4I0;locus_tag=AG-313-A04_00079;product=Homoserine O-acetyltransferase -AG-313-A04_1 Prodigal:2.6 CDS 81975 82583 . + 0 ID=AG-313-A04_00080;eC_number=2.1.1.163;Name=ubiE;gene=ubiE;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01813;locus_tag=AG-313-A04_00080;product=Ubiquinone/menaquinone biosynthesis C-methyltransferase UbiE -AG-313-A04_1 Prodigal:2.6 CDS 82584 83342 . + 0 ID=AG-313-A04_00081;eC_number=3.1.2.6;Name=gloB;gene=gloB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC84;locus_tag=AG-313-A04_00081;product=Hydroxyacylglutathione hydrolase -AG-313-A04_1 Prodigal:2.6 CDS 83384 83815 . + 0 ID=AG-313-A04_00082;Name=rplU;gene=rplU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26908;locus_tag=AG-313-A04_00082;product=50S ribosomal protein L21 -AG-313-A04_1 Prodigal:2.6 CDS 83824 84078 . + 0 ID=AG-313-A04_00083;Name=rpmA;gene=rpmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NDE9;locus_tag=AG-313-A04_00083;product=50S ribosomal protein L27 -AG-313-A04_1 Prodigal:2.6 CDS 84119 85102 . + 0 ID=AG-313-A04_00084;eC_number=3.6.5.-;Name=cgtA;gene=cgtA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8GYI7;locus_tag=AG-313-A04_00084;product=GTPase Obg/CgtA -AG-313-A04_1 Prodigal:2.6 CDS 85092 86183 . + 0 ID=AG-313-A04_00085;eC_number=2.7.2.11;Name=proB;gene=proB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2SZF9;locus_tag=AG-313-A04_00085;product=Glutamate 5-kinase -AG-313-A04_1 Prodigal:2.6 CDS 86184 87425 . + 0 ID=AG-313-A04_00086;eC_number=1.2.1.41;Name=proA;gene=proA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9WYC9;locus_tag=AG-313-A04_00086;product=Gamma-glutamyl phosphate reductase -AG-313-A04_1 Prodigal:2.6 CDS 87429 87971 . + 0 ID=AG-313-A04_00087;eC_number=2.7.7.18;Name=nadD;gene=nadD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HX21;locus_tag=AG-313-A04_00087;product=putative nicotinate-nucleotide adenylyltransferase -AG-313-A04_1 Prodigal:2.6 CDS 87968 88315 . + 0 ID=AG-313-A04_00088;Name=rsfS;gene=rsfS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5NLX3;locus_tag=AG-313-A04_00088;product=Ribosomal silencing factor RsfS -AG-313-A04_1 Prodigal:2.6 CDS 88312 89445 . + 0 ID=AG-313-A04_00089;eC_number=3.4.21.102;Name=ctpB;gene=ctpB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O35002;locus_tag=AG-313-A04_00089;product=Carboxy-terminal processing protease CtpB -AG-313-A04_1 Prodigal:2.6 CDS 89449 89919 . + 0 ID=AG-313-A04_00090;eC_number=3.6.1.-;Name=rppH;gene=rppH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P35640;locus_tag=AG-313-A04_00090;product=RNA pyrophosphohydrolase -AG-313-A04_1 Prodigal:2.6 CDS 89909 90295 . - 0 ID=AG-313-A04_00091;Name=atpC;gene=atpC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q05375;locus_tag=AG-313-A04_00091;product=ATP synthase epsilon chain -AG-313-A04_1 Prodigal:2.6 CDS 90295 91713 . - 0 ID=AG-313-A04_00092;eC_number=3.6.3.14;Name=atpD;gene=atpD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05038;locus_tag=AG-313-A04_00092;product=ATP synthase subunit beta -AG-313-A04_1 Prodigal:2.6 CDS 91716 92594 . - 0 ID=AG-313-A04_00093;Name=atpG_1;gene=atpG_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P72246;locus_tag=AG-313-A04_00093;product=ATP synthase gamma chain -AG-313-A04_1 Prodigal:2.6 CDS 92594 94117 . - 0 ID=AG-313-A04_00094;eC_number=3.6.3.14;Name=atpA;gene=atpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05036;locus_tag=AG-313-A04_00094;product=ATP synthase subunit alpha -AG-313-A04_1 Prodigal:2.6 CDS 94119 94676 . - 0 ID=AG-313-A04_00095;Name=atpH;gene=atpH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P72244;locus_tag=AG-313-A04_00095;product=ATP synthase subunit delta -AG-313-A04_1 Prodigal:2.6 CDS 94755 96704 . - 0 ID=AG-313-A04_00096;eC_number=3.6.4.-;Name=priA;gene=priA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17888;locus_tag=AG-313-A04_00096;product=Primosomal protein N' -AG-313-A04_1 Prodigal:2.6 CDS 96733 98139 . - 0 ID=AG-313-A04_00097;eC_number=1.8.1.4;Name=lpd3;gene=lpd3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P31046;locus_tag=AG-313-A04_00097;product=Dihydrolipoyl dehydrogenase 3 -AG-313-A04_1 Prodigal:2.6 CDS 98142 99479 . - 0 ID=AG-313-A04_00098;eC_number=2.3.1.61;Name=sucB;gene=sucB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFG6;locus_tag=AG-313-A04_00098;product=Dihydrolipoyllysine-residue succinyltransferase component of 2-oxoglutarate dehydrogenase complex -AG-313-A04_1 Prodigal:2.6 CDS 99479 102373 . - 0 ID=AG-313-A04_00099;eC_number=1.2.4.2;Name=sucA;gene=sucA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFG3;locus_tag=AG-313-A04_00099;product=2-oxoglutarate dehydrogenase E1 component -AG-313-A04_1 Prodigal:2.6 CDS 102405 103280 . - 0 ID=AG-313-A04_00100;eC_number=6.2.1.5;Name=sucD;gene=sucD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGE9;locus_tag=AG-313-A04_00100;product=Succinyl-CoA ligase [ADP-forming] subunit alpha -AG-313-A04_1 Prodigal:2.6 CDS 103280 104443 . - 0 ID=AG-313-A04_00101;eC_number=6.2.1.5;Name=sucC;gene=sucC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80886;locus_tag=AG-313-A04_00101;product=Succinyl-CoA ligase [ADP-forming] subunit beta -AG-313-A04_1 Prodigal:2.6 CDS 104519 105379 . + 0 ID=AG-313-A04_00102;eC_number=2.4.2.53;Name=arnC_1;gene=arnC_1;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01164;locus_tag=AG-313-A04_00102;product=Undecaprenyl-phosphate 4-deoxy-4-formamido-L-arabinose transferase -AG-313-A04_1 Prodigal:2.6 CDS 105390 106958 . - 0 ID=AG-313-A04_00103;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00103;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 106924 107883 . - 0 ID=AG-313-A04_00104;eC_number=1.1.1.37;Name=mdh;gene=mdh;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80458;locus_tag=AG-313-A04_00104;product=Malate dehydrogenase -AG-313-A04_1 Prodigal:2.6 CDS 107888 109381 . - 0 ID=AG-313-A04_00105;eC_number=1.2.1.-;Name=bauC;gene=bauC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I702;locus_tag=AG-313-A04_00105;product=Putative 3-oxopropanoate dehydrogenase -AG-313-A04_1 Prodigal:2.6 CDS 109405 110181 . - 0 ID=AG-313-A04_00106;eC_number=1.3.5.1;Name=sdhB;gene=sdhB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07014;locus_tag=AG-313-A04_00106;product=Succinate dehydrogenase iron-sulfur subunit -AG-313-A04_1 Prodigal:2.6 CDS 110184 111959 . - 0 ID=AG-313-A04_00107;eC_number=1.3.5.1;Name=sdhA;gene=sdhA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC41;locus_tag=AG-313-A04_00107;product=Succinate dehydrogenase flavoprotein subunit -AG-313-A04_1 Prodigal:2.6 CDS 111959 112285 . - 0 ID=AG-313-A04_00108;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00108;product=hypothetical protein -AG-313-A04_1 Prodigal:2.6 CDS 112287 112673 . - 0 ID=AG-313-A04_00109;Name=sdhC;gene=sdhC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69054;locus_tag=AG-313-A04_00109;product=Succinate dehydrogenase cytochrome b556 subunit -AG-313-A04_1 Prodigal:2.6 CDS 112694 113686 . - 0 ID=AG-313-A04_00110;eC_number=1.2.1.11;Name=asd2;gene=asd2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23247;locus_tag=AG-313-A04_00110;product=Aspartate-semialdehyde dehydrogenase 2 -AG-313-A04_1 Prodigal:2.6 CDS 113699 114805 . - 0 ID=AG-313-A04_00111;eC_number=1.1.1.85;Name=leuB;gene=leuB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2T7H6;locus_tag=AG-313-A04_00111;product=3-isopropylmalate dehydrogenase -AG-313-A04_1 Prodigal:2.6 CDS 114798 115424 . - 0 ID=AG-313-A04_00112;eC_number=4.2.1.33;Name=leuD;gene=leuD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P30126;locus_tag=AG-313-A04_00112;product=3-isopropylmalate dehydratase small subunit -AG-313-A04_1 Prodigal:2.6 CDS 115408 116805 . - 0 ID=AG-313-A04_00113;eC_number=4.2.1.33;Name=leuC1;gene=leuC1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15717;locus_tag=AG-313-A04_00113;product=3-isopropylmalate dehydratase large subunit 1 -AG-313-A04_1 Prodigal:2.6 CDS 116812 117321 . - 0 ID=AG-313-A04_00114;Name=rplS;gene=rplS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6ND68;locus_tag=AG-313-A04_00114;product=50S ribosomal protein L19 -AG-313-A04_1 Prodigal:2.6 CDS 117308 117985 . - 0 ID=AG-313-A04_00115;eC_number=2.1.1.228;Name=trmD;gene=trmD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6G1R9;locus_tag=AG-313-A04_00115;product=tRNA (guanine-N(1)-)-methyltransferase -AG-313-A04_2 Prodigal:2.6 CDS 1093 1716 . - 0 ID=AG-313-A04_00116;eC_number=2.7.4.8;Name=gmk;gene=gmk;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60546;locus_tag=AG-313-A04_00116;product=Guanylate kinase -AG-313-A04_2 Prodigal:2.6 CDS 1697 1936 . - 0 ID=AG-313-A04_00117;Name=acpP;gene=acpP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P94123;locus_tag=AG-313-A04_00117;product=Acyl carrier protein -AG-313-A04_2 Prodigal:2.6 CDS 1988 2719 . - 0 ID=AG-313-A04_00118;eC_number=1.1.1.100;Name=fabG_1;gene=fabG_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KQH7;locus_tag=AG-313-A04_00118;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A04_2 Prodigal:2.6 CDS 2703 3644 . - 0 ID=AG-313-A04_00119;eC_number=2.3.1.39;Name=fabD;gene=fabD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AAI9;locus_tag=AG-313-A04_00119;product=Malonyl CoA-acyl carrier protein transacylase -AG-313-A04_2 Prodigal:2.6 CDS 3751 4071 . + 0 ID=AG-313-A04_00120;Name=rpsF;gene=rpsF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N5A4;locus_tag=AG-313-A04_00120;product=30S ribosomal protein S6 -AG-313-A04_2 Prodigal:2.6 CDS 4076 4351 . + 0 ID=AG-313-A04_00121;Name=rpsR;gene=rpsR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N5A3;locus_tag=AG-313-A04_00121;product=30S ribosomal protein S18 -AG-313-A04_2 Prodigal:2.6 CDS 4351 4806 . + 0 ID=AG-313-A04_00122;Name=rplI;gene=rplI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N5A1;locus_tag=AG-313-A04_00122;product=50S ribosomal protein L9 -AG-313-A04_2 Prodigal:2.6 CDS 4881 6314 . + 0 ID=AG-313-A04_00123;eC_number=3.6.4.12;Name=dnaB;gene=dnaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACB0;locus_tag=AG-313-A04_00123;product=Replicative DNA helicase -AG-313-A04_2 Prodigal:2.6 CDS 6366 8840 . + 0 ID=AG-313-A04_00124;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00124;product=hypothetical protein -AG-313-A04_2 Prodigal:2.6 CDS 8840 9388 . + 0 ID=AG-313-A04_00125;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00125;product=hypothetical protein -AG-313-A04_2 Prodigal:2.6 CDS 9375 10826 . + 0 ID=AG-313-A04_00126;eC_number=2.4.2.14;Name=purF;gene=purF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00497;locus_tag=AG-313-A04_00126;product=Amidophosphoribosyltransferase -AG-313-A04_2 Prodigal:2.6 CDS 10823 12148 . - 0 ID=AG-313-A04_00127;Name=bamB;gene=bamB;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00923;locus_tag=AG-313-A04_00127;product=Outer membrane protein assembly factor BamB -AG-313-A04_2 Prodigal:2.6 CDS 12153 12662 . - 0 ID=AG-313-A04_00128;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00128;product=hypothetical protein -AG-313-A04_2 Prodigal:2.6 CDS 12649 13434 . - 0 ID=AG-313-A04_00129;eC_number=2.1.2.11;Name=panB;gene=panB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIL7;locus_tag=AG-313-A04_00129;product=3-methyl-2-oxobutanoate hydroxymethyltransferase -AG-313-A04_2 Prodigal:2.6 CDS 13434 14993 . - 0 ID=AG-313-A04_00130;eC_number=6.3.5.2;Name=guaA;gene=guaA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04079;locus_tag=AG-313-A04_00130;product=GMP synthase [glutamine-hydrolyzing] -AG-313-A04_2 Prodigal:2.6 CDS 14994 15416 . - 0 ID=AG-313-A04_00131;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00131;product=hypothetical protein -AG-313-A04_2 Prodigal:2.6 CDS 15413 16492 . - 0 ID=AG-313-A04_00132;eC_number=1.1.1.205;Name=guaB;gene=guaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P49058;locus_tag=AG-313-A04_00132;product=Inosine-5'-monophosphate dehydrogenase -AG-313-A04_2 Prodigal:2.6 CDS 16519 17145 . - 0 ID=AG-313-A04_00133;eC_number=2.1.1.166;Name=rlmE;gene=rlmE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0C0R7;locus_tag=AG-313-A04_00133;product=Ribosomal RNA large subunit methyltransferase E -AG-313-A04_2 Prodigal:2.6 CDS 17145 17933 . - 0 ID=AG-313-A04_00134;eC_number=2.7.8.24;Name=pcs;gene=pcs;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O51265;locus_tag=AG-313-A04_00134;product=Phosphatidylcholine synthase -AG-313-A04_2 Prodigal:2.6 CDS 17933 18580 . - 0 ID=AG-313-A04_00135;eC_number=4.1.1.65;Name=psd;gene=psd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WHQ5;locus_tag=AG-313-A04_00135;product=Phosphatidylserine decarboxylase proenzyme -AG-313-A04_2 Prodigal:2.6 CDS 18646 19860 . + 0 ID=AG-313-A04_00136;eC_number=1.1.1.42;Name=icd;gene=icd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WKL1;locus_tag=AG-313-A04_00136;product=Isocitrate dehydrogenase [NADP] -AG-313-A04_2 Prodigal:2.6 CDS 19853 22528 . - 0 ID=AG-313-A04_00137;eC_number=6.1.1.7;Name=alaS;gene=alaS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00957;locus_tag=AG-313-A04_00137;product=Alanine--tRNA ligase -AG-313-A04_2 Prodigal:2.6 CDS 22572 22946 . - 0 ID=AG-313-A04_00138;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00138;product=hypothetical protein -AG-313-A04_2 Prodigal:2.6 CDS 22980 24533 . - 0 ID=AG-313-A04_00139;eC_number=1.2.1.3;Name=acoD;gene=acoD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P46368;locus_tag=AG-313-A04_00139;product=Acetaldehyde dehydrogenase 2 -AG-313-A04_2 Prodigal:2.6 CDS 24700 25809 . - 0 ID=AG-313-A04_00140;Name=recA;gene=recA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00268;locus_tag=AG-313-A04_00140;product=Protein RecA -AG-313-A04_2 Prodigal:2.6 CDS 25902 27191 . - 0 ID=AG-313-A04_00141;Name=bepC;gene=bepC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8G0Y6;locus_tag=AG-313-A04_00141;product=Outer membrane efflux protein BepC -AG-313-A04_2 Prodigal:2.6 CDS 27192 28109 . - 0 ID=AG-313-A04_00142;eC_number=2.7.1.33;Name=coaA;gene=coaA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00215;locus_tag=AG-313-A04_00142;product=Pantothenate kinase -AG-313-A04_2 Prodigal:2.6 CDS 28114 28476 . - 0 ID=AG-313-A04_00143;eC_number=4.4.1.22;Name=gfa;gene=gfa;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00723;locus_tag=AG-313-A04_00143;product=Glutathione-dependent formaldehyde-activating enzyme -AG-313-A04_2 Prodigal:2.6 CDS 28605 29477 . - 0 ID=AG-313-A04_00144;eC_number=2.4.2.53;Name=arnC_2;gene=arnC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93PD9;locus_tag=AG-313-A04_00144;product=Undecaprenyl-phosphate 4-deoxy-4-formamido-L-arabinose transferase -AG-313-A04_2 Prodigal:2.6 CDS 29474 30847 . - 0 ID=AG-313-A04_00145;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00145;product=hypothetical protein -AG-313-A04_2 Prodigal:2.6 CDS 30923 31348 . + 0 ID=AG-313-A04_00146;Name=dksA;gene=dksA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABS1;locus_tag=AG-313-A04_00146;product=RNA polymerase-binding transcription factor DksA -AG-313-A04_2 Prodigal:2.6 CDS 31345 31971 . - 0 ID=AG-313-A04_00147;eC_number=1.8.4.-;Name=yfcG;gene=yfcG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77526;locus_tag=AG-313-A04_00147;product=Disulfide-bond oxidoreductase YfcG -AG-313-A04_2 Prodigal:2.6 CDS 31968 32981 . - 0 ID=AG-313-A04_00148;eC_number=1.18.1.2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SL28;locus_tag=AG-313-A04_00148;product=Ferredoxin--NADP reductase -AG-313-A04_2 Prodigal:2.6 CDS 32981 33301 . - 0 ID=AG-313-A04_00149;Name=fdxE;gene=fdxE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80306;locus_tag=AG-313-A04_00149;product=Ferredoxin-6 -AG-313-A04_2 Prodigal:2.6 CDS 33301 33432 . - 0 ID=AG-313-A04_00150;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00150;product=hypothetical protein -AG-313-A04_2 Prodigal:2.6 CDS 33510 34280 . - 0 ID=AG-313-A04_00151;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AFF7;locus_tag=AG-313-A04_00151;product=Blue-light absorbing proteorhodopsin -AG-313-A04_2 Prodigal:2.6 CDS 34508 36406 . + 0 ID=AG-313-A04_00152;eC_number=6.2.1.1;Name=acsA_1;gene=acsA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q89WV5;locus_tag=AG-313-A04_00152;product=Acetyl-coenzyme A synthetase -AG-313-A04_2 Prodigal:2.6 CDS 36395 37708 . - 0 ID=AG-313-A04_00153;eC_number=3.5.2.-;Name=lhyD;gene=lhyD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P81006;locus_tag=AG-313-A04_00153;product=L-hydantoinase -AG-313-A04_2 Prodigal:2.6 CDS 37747 38628 . + 0 ID=AG-313-A04_00154;Name=ygfZ;gene=ygfZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADE8;locus_tag=AG-313-A04_00154;product=tRNA-modifying protein YgfZ -AG-313-A04_2 Aragorn:1.2 tRNA 38746 38829 . - . ID=AG-313-A04_00155;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00155;product=tRNA-Leu(gag) -AG-313-A04_2 Prodigal:2.6 CDS 38891 39880 . + 0 ID=AG-313-A04_00156;eC_number=2.5.1.72;Name=nadA;gene=nadA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WJK1;locus_tag=AG-313-A04_00156;product=Quinolinate synthase A -AG-313-A04_2 Prodigal:2.6 CDS 39885 40715 . + 0 ID=AG-313-A04_00157;eC_number=2.4.2.19;Name=nadC;gene=nadC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39666;locus_tag=AG-313-A04_00157;product=putative nicotinate-nucleotide pyrophosphorylase [carboxylating] -AG-313-A04_2 Prodigal:2.6 CDS 40704 43367 . - 0 ID=AG-313-A04_00158;eC_number=2.7.9.1;Name=ppdK;gene=ppdK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P22983;locus_tag=AG-313-A04_00158;product=Pyruvate%2C phosphate dikinase -AG-313-A04_2 Prodigal:2.6 CDS 43364 45418 . - 0 ID=AG-313-A04_00159;eC_number=6.1.1.14;Name=glyS;gene=glyS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00961;locus_tag=AG-313-A04_00159;product=Glycine--tRNA ligase beta subunit -AG-313-A04_2 Prodigal:2.6 CDS 45422 46309 . - 0 ID=AG-313-A04_00160;eC_number=6.1.1.14;Name=glyQ;gene=glyQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1VZ59;locus_tag=AG-313-A04_00160;product=Glycine--tRNA ligase alpha subunit -AG-313-A04_2 Prodigal:2.6 CDS 46310 47122 . - 0 ID=AG-313-A04_00161;eC_number=3.4.21.-;Name=sohB;gene=sohB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG14;locus_tag=AG-313-A04_00161;product=putative protease SohB -AG-313-A04_2 Prodigal:2.6 CDS 47265 48278 . + 0 ID=AG-313-A04_00162;eC_number=2.5.1.90;Name=ispB;gene=ispB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44916;locus_tag=AG-313-A04_00162;product=Octaprenyl-diphosphate synthase -AG-313-A04_2 Prodigal:2.6 CDS 48275 48907 . - 0 ID=AG-313-A04_00163;eC_number=1.4.3.5;Name=pdxH;gene=pdxH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21159;locus_tag=AG-313-A04_00163;product=Pyridoxine/pyridoxamine 5'-phosphate oxidase -AG-313-A04_2 Prodigal:2.6 CDS 48942 50024 . + 0 ID=AG-313-A04_00164;eC_number=4.2.3.5;Name=aroC;gene=aroC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12008;locus_tag=AG-313-A04_00164;product=Chorismate synthase -AG-313-A04_2 Prodigal:2.6 CDS 50021 51940 . - 0 ID=AG-313-A04_00165;eC_number=2.2.1.7;Name=dxs;gene=dxs;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77488;locus_tag=AG-313-A04_00165;product=1-deoxy-D-xylulose-5-phosphate synthase -AG-313-A04_2 Prodigal:2.6 CDS 51940 52863 . - 0 ID=AG-313-A04_00166;eC_number=2.5.1.10;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q08291;locus_tag=AG-313-A04_00166;product=Farnesyl diphosphate synthase -AG-313-A04_2 Prodigal:2.6 CDS 52808 53023 . - 0 ID=AG-313-A04_00167;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00167;product=hypothetical protein -AG-313-A04_2 Prodigal:2.6 CDS 53044 54000 . + 0 ID=AG-313-A04_00168;eC_number=2.7.7.87;Name=ywlC;gene=ywlC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39153;locus_tag=AG-313-A04_00168;product=Threonylcarbamoyl-AMP synthase -AG-313-A04_2 Prodigal:2.6 CDS 54001 54732 . + 0 ID=AG-313-A04_00169;Name=natA;gene=natA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P46903;locus_tag=AG-313-A04_00169;product=ABC transporter ATP-binding protein NatA -AG-313-A04_2 Prodigal:2.6 CDS 54722 55513 . + 0 ID=AG-313-A04_00170;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00170;product=hypothetical protein -AG-313-A04_2 Prodigal:2.6 CDS 55517 56224 . + 0 ID=AG-313-A04_00171;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00171;product=hypothetical protein -AG-313-A04_2 Prodigal:2.6 CDS 56236 57171 . + 0 ID=AG-313-A04_00172;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00172;product=hypothetical protein -AG-313-A04_2 Prodigal:2.6 CDS 57171 57971 . + 0 ID=AG-313-A04_00173;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00173;product=hypothetical protein -AG-313-A04_2 Aragorn:1.2 tRNA 57975 58052 . - . ID=AG-313-A04_00174;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00174;product=tRNA-Arg(tcg) -AG-313-A04_2 Prodigal:2.6 CDS 58077 59057 . + 0 ID=AG-313-A04_00175;eC_number=5.4.99.23;Name=rluD;gene=rluD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33643;locus_tag=AG-313-A04_00175;product=Ribosomal large subunit pseudouridine synthase D -AG-313-A04_2 Prodigal:2.6 CDS 59088 59984 . + 0 ID=AG-313-A04_00176;Name=rpoH;gene=rpoH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0CAW9;locus_tag=AG-313-A04_00176;product=RNA polymerase sigma factor RpoH -AG-313-A04_2 Prodigal:2.6 CDS 59981 61273 . - 0 ID=AG-313-A04_00177;eC_number=6.3.4.4;Name=purA;gene=purA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2SWD3;locus_tag=AG-313-A04_00177;product=Adenylosuccinate synthetase -AG-313-A04_2 Prodigal:2.6 CDS 61273 62085 . - 0 ID=AG-313-A04_00178;eC_number=2.7.1.49;Name=thiD;gene=thiD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P55882;locus_tag=AG-313-A04_00178;product=Hydroxymethylpyrimidine/phosphomethylpyrimidine kinase -AG-313-A04_2 Prodigal:2.6 CDS 62089 63420 . - 0 ID=AG-313-A04_00179;eC_number=5.4.2.10;Name=glmM;gene=glmM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34824;locus_tag=AG-313-A04_00179;product=Phosphoglucosamine mutase -AG-313-A04_2 Prodigal:2.6 CDS 63417 64475 . - 0 ID=AG-313-A04_00180;eC_number=2.5.1.15;Name=folP;gene=folP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC13;locus_tag=AG-313-A04_00180;product=Dihydropteroate synthase -AG-313-A04_2 Prodigal:2.6 CDS 64480 66375 . - 0 ID=AG-313-A04_00181;eC_number=3.4.24.-;Name=ftsH;gene=ftsH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8H444;locus_tag=AG-313-A04_00181;product=ATP-dependent zinc metalloprotease FtsH -AG-313-A04_3 Prodigal:2.6 CDS 81 275 . + 0 ID=AG-313-A04_00182;eC_number=3.5.4.16;Name=folE;gene=folE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19465;locus_tag=AG-313-A04_00182;product=GTP cyclohydrolase 1 -AG-313-A04_3 Prodigal:2.6 CDS 276 1277 . + 0 ID=AG-313-A04_00183;eC_number=1.3.1.84;Name=acuI;gene=acuI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26646;locus_tag=AG-313-A04_00183;product=putative acrylyl-CoA reductase AcuI -AG-313-A04_3 Prodigal:2.6 CDS 1297 2187 . + 0 ID=AG-313-A04_00184;Name=pgrR;gene=pgrR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77333;locus_tag=AG-313-A04_00184;product=HTH-type transcriptional regulator PgrR -AG-313-A04_3 Prodigal:2.6 CDS 2175 3293 . + 0 ID=AG-313-A04_00185;eC_number=3.4.24.-;Name=mmpA;gene=mmpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9A710;locus_tag=AG-313-A04_00185;product=Metalloprotease MmpA -AG-313-A04_3 Prodigal:2.6 CDS 3440 3715 . + 0 ID=AG-313-A04_00186;Name=hupA;gene=hupA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08821;locus_tag=AG-313-A04_00186;product=DNA-binding protein HU 1 -AG-313-A04_3 Prodigal:2.6 CDS 3846 5138 . + 0 ID=AG-313-A04_00187;Name=amt;gene=amt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66515;locus_tag=AG-313-A04_00187;product=Ammonia channel -AG-313-A04_3 Prodigal:2.6 CDS 5192 6217 . - 0 ID=AG-313-A04_00188;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00188;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 6256 6654 . + 0 ID=AG-313-A04_00189;eC_number=2.8.1.1;Name=glpE_1;gene=glpE_1;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01009;locus_tag=AG-313-A04_00189;product=Thiosulfate sulfurtransferase GlpE -AG-313-A04_3 Prodigal:2.6 CDS 6656 7243 . - 0 ID=AG-313-A04_00190;eC_number=5.99.1.4;Name=nsaD;gene=nsaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X9Q7;locus_tag=AG-313-A04_00190;product=2-hydroxychromene-2-carboxylate isomerase -AG-313-A04_3 Prodigal:2.6 CDS 7236 7706 . - 0 ID=AG-313-A04_00191;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00191;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 7733 8293 . + 0 ID=AG-313-A04_00192;Name=recX;gene=recX;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01114;locus_tag=AG-313-A04_00192;product=Regulatory protein RecX -AG-313-A04_3 Prodigal:2.6 CDS 8412 9191 . - 0 ID=AG-313-A04_00193;eC_number=3.1.3.7;Name=cysQ;gene=cysQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P22255;locus_tag=AG-313-A04_00193;product=3'(2')%2C5'-bisphosphate nucleotidase CysQ -AG-313-A04_3 Prodigal:2.6 CDS 9172 9357 . - 0 ID=AG-313-A04_00194;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00194;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 9397 10524 . + 0 ID=AG-313-A04_00195;eC_number=2.8.1.-;Name=mnmA;gene=mnmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WJS5;locus_tag=AG-313-A04_00195;product=tRNA-specific 2-thiouridylase MnmA -AG-313-A04_3 Prodigal:2.6 CDS 10763 11464 . - 0 ID=AG-313-A04_00196;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00196;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 11629 12825 . + 0 ID=AG-313-A04_00197;eC_number=4.4.1.8;Name=metC;gene=metC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q07703;locus_tag=AG-313-A04_00197;product=Cystathionine beta-lyase -AG-313-A04_3 Prodigal:2.6 CDS 12825 14045 . + 0 ID=AG-313-A04_00198;Name=yhjX;gene=yhjX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37662;locus_tag=AG-313-A04_00198;product=putative MFS-type transporter YhjX -AG-313-A04_3 Prodigal:2.6 CDS 14185 14856 . + 0 ID=AG-313-A04_00199;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O84616;locus_tag=AG-313-A04_00199;product=PqqC-like protein -AG-313-A04_3 Prodigal:2.6 CDS 14879 15259 . + 0 ID=AG-313-A04_00200;eC_number=2.7.7.1;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00243;locus_tag=AG-313-A04_00200;product=Nicotinamide-nucleotide adenylyltransferase -AG-313-A04_3 Prodigal:2.6 CDS 15312 16106 . + 0 ID=AG-313-A04_00201;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00201;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 16147 16617 . + 0 ID=AG-313-A04_00202;Name=aprB;gene=aprB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:T2G899;locus_tag=AG-313-A04_00202;product=Adenylylsulfate reductase subunit beta -AG-313-A04_3 Prodigal:2.6 CDS 16617 18476 . + 0 ID=AG-313-A04_00203;eC_number=1.8.99.2;Name=aprA;gene=aprA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:T2G6Z9;locus_tag=AG-313-A04_00203;product=Adenylylsulfate reductase subunit alpha -AG-313-A04_3 Prodigal:2.6 CDS 18483 18833 . + 0 ID=AG-313-A04_00204;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00204;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 18873 19976 . + 0 ID=AG-313-A04_00205;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00205;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 19977 20375 . - 0 ID=AG-313-A04_00206;eC_number=2.7.7.53;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WMK9;locus_tag=AG-313-A04_00206;product=AP-4-A phosphorylase -AG-313-A04_3 Prodigal:2.6 CDS 20375 21541 . - 0 ID=AG-313-A04_00207;eC_number=4.4.1.24;Name=suyB;gene=suyB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q58Y43;locus_tag=AG-313-A04_00207;product=(2R)-sulfolactate sulfo-lyase subunit beta -AG-313-A04_3 Prodigal:2.6 CDS 21549 21893 . - 0 ID=AG-313-A04_00208;eC_number=4.4.1.24;Name=suyA;gene=suyA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1QWP1;locus_tag=AG-313-A04_00208;product=(2R)-sulfolactate sulfo-lyase subunit alpha -AG-313-A04_3 Prodigal:2.6 CDS 21912 23693 . + 0 ID=AG-313-A04_00209;eC_number=2.3.3.15;Name=xsc;gene=xsc;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:D5AKX8;locus_tag=AG-313-A04_00209;product=Sulfoacetaldehyde acetyltransferase -AG-313-A04_3 Prodigal:2.6 CDS 23703 24083 . + 0 ID=AG-313-A04_00210;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00210;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 24083 24235 . + 0 ID=AG-313-A04_00211;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00211;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 24236 26071 . + 0 ID=AG-313-A04_00212;eC_number=2.1.3.12;Name=novN;gene=novN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9L9F4;locus_tag=AG-313-A04_00212;product=Decarbamoylnovobiocin carbamoyltransferase -AG-313-A04_3 Prodigal:2.6 CDS 26076 27119 . - 0 ID=AG-313-A04_00213;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00213;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 27116 27910 . - 0 ID=AG-313-A04_00214;eC_number=3.4.24.-;Name=mepM_1;gene=mepM_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFS9;locus_tag=AG-313-A04_00214;product=Murein DD-endopeptidase MepM -AG-313-A04_3 Prodigal:2.6 CDS 27907 28665 . - 0 ID=AG-313-A04_00215;eC_number=1.1.1.127;Name=kduD;gene=kduD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q05528;locus_tag=AG-313-A04_00215;product=2-dehydro-3-deoxy-D-gluconate 5-dehydrogenase -AG-313-A04_3 Prodigal:2.6 CDS 28671 29435 . - 0 ID=AG-313-A04_00216;eC_number=1.1.1.100;Name=fabG_2;gene=fabG_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P99093;locus_tag=AG-313-A04_00216;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A04_3 Prodigal:2.6 CDS 29435 30028 . - 0 ID=AG-313-A04_00217;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00217;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 30031 31638 . - 0 ID=AG-313-A04_00218;eC_number=1.1.99.-;Name=alkJ;gene=alkJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q00593;locus_tag=AG-313-A04_00218;product=Alcohol dehydrogenase [acceptor] -AG-313-A04_3 Prodigal:2.6 CDS 31782 32876 . + 0 ID=AG-313-A04_00219;Name=takP;gene=takP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3J1R2;locus_tag=AG-313-A04_00219;product=Alpha-keto acid-binding periplasmic protein TakP -AG-313-A04_3 Prodigal:2.6 CDS 32945 33559 . + 0 ID=AG-313-A04_00220;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00220;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 33556 34890 . + 0 ID=AG-313-A04_00221;Name=siaT_1;gene=siaT_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44543;locus_tag=AG-313-A04_00221;product=Sialic acid TRAP transporter permease protein SiaT -AG-313-A04_3 Prodigal:2.6 CDS 34880 36166 . + 0 ID=AG-313-A04_00222;eC_number=1.1.1.308;Name=hpsN;gene=hpsN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q46N53;locus_tag=AG-313-A04_00222;product=Sulfopropanediol 3-dehydrogenase -AG-313-A04_3 Prodigal:2.6 CDS 36166 37170 . + 0 ID=AG-313-A04_00223;eC_number=1.1.1.-;Name=lgoD;gene=lgoD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39400;locus_tag=AG-313-A04_00223;product=L-galactonate-5-dehydrogenase -AG-313-A04_3 Prodigal:2.6 CDS 37255 37635 . + 0 ID=AG-313-A04_00224;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00224;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 37653 37943 . + 0 ID=AG-313-A04_00225;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00225;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 37948 38364 . + 0 ID=AG-313-A04_00226;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00226;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 38373 38666 . + 0 ID=AG-313-A04_00227;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00227;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 38680 39003 . + 0 ID=AG-313-A04_00228;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00228;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 39004 39711 . - 0 ID=AG-313-A04_00229;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00229;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 39708 40856 . - 0 ID=AG-313-A04_00230;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00230;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 40856 41764 . - 0 ID=AG-313-A04_00231;eC_number=2.3.1.8;Name=pta;gene=pta;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X0L4;locus_tag=AG-313-A04_00231;product=Phosphate acetyltransferase -AG-313-A04_3 Prodigal:2.6 CDS 41757 42761 . - 0 ID=AG-313-A04_00232;eC_number=1.1.1.350;Name=allD;gene=allD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77555;locus_tag=AG-313-A04_00232;product=Ureidoglycolate dehydrogenase (NAD(+)) -AG-313-A04_3 Prodigal:2.6 CDS 42758 43192 . - 0 ID=AG-313-A04_00233;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00233;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 43192 43605 . - 0 ID=AG-313-A04_00234;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00234;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 43633 44331 . - 0 ID=AG-313-A04_00235;eC_number=5.1.1.13;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29079;locus_tag=AG-313-A04_00235;product=Aspartate racemase -AG-313-A04_3 Prodigal:2.6 CDS 44347 46293 . - 0 ID=AG-313-A04_00236;Name=cmpB;gene=cmpB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q55106;locus_tag=AG-313-A04_00236;product=Bicarbonate transport system permease protein CmpB -AG-313-A04_3 Prodigal:2.6 CDS 46254 47051 . - 0 ID=AG-313-A04_00237;eC_number=3.6.3.36;Name=tauB;gene=tauB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q47538;locus_tag=AG-313-A04_00237;product=Taurine import ATP-binding protein TauB -AG-313-A04_3 Prodigal:2.6 CDS 47132 48070 . - 0 ID=AG-313-A04_00238;Name=tauA;gene=tauA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q47537;locus_tag=AG-313-A04_00238;product=Taurine-binding periplasmic protein -AG-313-A04_3 Prodigal:2.6 CDS 48226 49569 . + 0 ID=AG-313-A04_00239;eC_number=2.6.1.18;Name=bauA;gene=bauA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I700;locus_tag=AG-313-A04_00239;product=Beta-alanine--pyruvate aminotransferase -AG-313-A04_3 Prodigal:2.6 CDS 49570 50688 . + 0 ID=AG-313-A04_00240;eC_number=1.4.1.1;Name=ald;gene=ald;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8KY18;locus_tag=AG-313-A04_00240;product=Alanine dehydrogenase -AG-313-A04_3 Prodigal:2.6 CDS 50690 53122 . + 0 ID=AG-313-A04_00241;eC_number=1.5.3.19;Name=abo;gene=abo;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAI3;locus_tag=AG-313-A04_00241;product=4-methylaminobutanoate oxidase (formaldehyde-forming) -AG-313-A04_3 Prodigal:2.6 CDS 53208 53393 . + 0 ID=AG-313-A04_00242;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00242;product=hypothetical protein -AG-313-A04_3 Aragorn:1.2 tRNA 53470 53546 . + . ID=AG-313-A04_00243;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00243;product=tRNA-Met(cat) -AG-313-A04_3 Prodigal:2.6 CDS 53590 54303 . - 0 ID=AG-313-A04_00244;eC_number=1.1.1.133;Name=rmlD;gene=rmlD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0QTF8;locus_tag=AG-313-A04_00244;product=dTDP-4-dehydrorhamnose reductase -AG-313-A04_3 Prodigal:2.6 CDS 54293 55489 . - 0 ID=AG-313-A04_00245;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00245;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 55498 56301 . - 0 ID=AG-313-A04_00246;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00246;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 56302 56835 . - 0 ID=AG-313-A04_00247;eC_number=5.1.3.13;Name=rmlC;gene=rmlC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HU21;locus_tag=AG-313-A04_00247;product=dTDP-4-dehydrorhamnose 3%2C5-epimerase -AG-313-A04_3 Prodigal:2.6 CDS 56832 57701 . - 0 ID=AG-313-A04_00248;eC_number=2.7.7.24;Name=rffH;gene=rffH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P61887;locus_tag=AG-313-A04_00248;product=Glucose-1-phosphate thymidylyltransferase 2 -AG-313-A04_3 Prodigal:2.6 CDS 57698 58720 . - 0 ID=AG-313-A04_00249;eC_number=4.2.1.46;Name=rffG;gene=rffG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P27830;locus_tag=AG-313-A04_00249;product=dTDP-glucose 4%2C6-dehydratase 2 -AG-313-A04_3 Prodigal:2.6 CDS 58796 59629 . + 0 ID=AG-313-A04_00250;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00250;product=hypothetical protein -AG-313-A04_3 Prodigal:2.6 CDS 59660 60544 . + 0 ID=AG-313-A04_00251;eC_number=5.1.3.20;Name=hldD;gene=hldD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2SY18;locus_tag=AG-313-A04_00251;product=ADP-L-glycero-D-manno-heptose-6-epimerase -AG-313-A04_3 Prodigal:2.6 CDS 60545 61072 . - 0 ID=AG-313-A04_00252;eC_number=2.4.2.7;Name=apt;gene=apt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69503;locus_tag=AG-313-A04_00252;product=Adenine phosphoribosyltransferase -AG-313-A04_3 Prodigal:2.6 CDS 61113 61994 . + 0 ID=AG-313-A04_00253;eC_number=2.4.2.28;Name=mtnP;gene=mtnP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0QR54;locus_tag=AG-313-A04_00253;product=S-methyl-5'-thioadenosine phosphorylase -AG-313-A04_4 Prodigal:2.6 CDS 299 1651 . - 0 ID=AG-313-A04_00254;Name=ffh;gene=ffh;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGD7;locus_tag=AG-313-A04_00254;product=Signal recognition particle protein -AG-313-A04_4 Prodigal:2.6 CDS 1819 2649 . + 0 ID=AG-313-A04_00255;eC_number=5.1.1.7;Name=dapF;gene=dapF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q4FP10;locus_tag=AG-313-A04_00255;product=Diaminopimelate epimerase -AG-313-A04_4 Prodigal:2.6 CDS 2650 3570 . + 0 ID=AG-313-A04_00256;Name=ftsY;gene=ftsY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10121;locus_tag=AG-313-A04_00256;product=Signal recognition particle receptor FtsY -AG-313-A04_4 Prodigal:2.6 CDS 3567 4367 . - 0 ID=AG-313-A04_00257;eC_number=3.4.22.-;Name=rtxA;gene=rtxA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KS12;locus_tag=AG-313-A04_00257;product=Multifunctional-autoprocessing repeats-in-toxin -AG-313-A04_4 Prodigal:2.6 CDS 4364 5200 . - 0 ID=AG-313-A04_00258;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00258;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 5244 5423 . - 0 ID=AG-313-A04_00259;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00259;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 5413 6747 . - 0 ID=AG-313-A04_00260;eC_number=6.3.5.7;Name=gatA_1;gene=gatA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X0Z9;locus_tag=AG-313-A04_00260;product=Glutamyl-tRNA(Gln) amidotransferase subunit A -AG-313-A04_4 Prodigal:2.6 CDS 6754 8115 . - 0 ID=AG-313-A04_00261;Name=siaT_2;gene=siaT_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44543;locus_tag=AG-313-A04_00261;product=Sialic acid TRAP transporter permease protein SiaT -AG-313-A04_4 Prodigal:2.6 CDS 8105 8689 . - 0 ID=AG-313-A04_00262;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00262;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 8776 9924 . - 0 ID=AG-313-A04_00263;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8YSQ6;locus_tag=AG-313-A04_00263;product=Monocarboxylate 2-oxoacid-binding periplasmic protein -AG-313-A04_4 Prodigal:2.6 CDS 10039 10995 . - 0 ID=AG-313-A04_00264;eC_number=1.1.1.29;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P36234;locus_tag=AG-313-A04_00264;product=Glycerate dehydrogenase -AG-313-A04_4 Prodigal:2.6 CDS 10997 12295 . - 0 ID=AG-313-A04_00265;Name=lutA;gene=lutA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O07020;locus_tag=AG-313-A04_00265;product=Lactate utilization protein A -AG-313-A04_4 Prodigal:2.6 CDS 12296 13549 . - 0 ID=AG-313-A04_00266;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIT1;locus_tag=AG-313-A04_00266;product=putative FAD-linked oxidoreductase -AG-313-A04_4 Prodigal:2.6 CDS 13509 15005 . - 0 ID=AG-313-A04_00267;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIT1;locus_tag=AG-313-A04_00267;product=putative FAD-linked oxidoreductase -AG-313-A04_4 Prodigal:2.6 CDS 15014 16177 . - 0 ID=AG-313-A04_00268;eC_number=2.6.1.1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23034;locus_tag=AG-313-A04_00268;product=Aspartate aminotransferase -AG-313-A04_4 Prodigal:2.6 CDS 16227 17375 . - 0 ID=AG-313-A04_00269;eC_number=1.1.-.-;Name=lldD;gene=lldD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33232;locus_tag=AG-313-A04_00269;product=L-lactate dehydrogenase -AG-313-A04_4 Prodigal:2.6 CDS 17381 17884 . - 0 ID=AG-313-A04_00270;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00270;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 17934 18293 . - 0 ID=AG-313-A04_00271;Name=ccmH;gene=ccmH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABM9;locus_tag=AG-313-A04_00271;product=Cytochrome c-type biogenesis protein CcmH -AG-313-A04_4 Prodigal:2.6 CDS 18296 18811 . - 0 ID=AG-313-A04_00272;Name=cycY;gene=cycY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P30960;locus_tag=AG-313-A04_00272;product=Thiol:disulfide interchange protein CycY -AG-313-A04_4 Prodigal:2.6 CDS 18795 20675 . - 0 ID=AG-313-A04_00273;Name=ccmF;gene=ccmF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33927;locus_tag=AG-313-A04_00273;product=Cytochrome c-type biogenesis protein CcmF -AG-313-A04_4 Prodigal:2.6 CDS 20665 21093 . - 0 ID=AG-313-A04_00274;Name=ccmE;gene=ccmE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69490;locus_tag=AG-313-A04_00274;product=Cytochrome c-type biogenesis protein CcmE -AG-313-A04_4 Prodigal:2.6 CDS 21102 21335 . - 0 ID=AG-313-A04_00275;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00275;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 21332 22039 . - 0 ID=AG-313-A04_00276;Name=ccmC;gene=ccmC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABM1;locus_tag=AG-313-A04_00276;product=Heme exporter protein C -AG-313-A04_4 Prodigal:2.6 CDS 22217 22540 . - 0 ID=AG-313-A04_00277;Name=hspQ;gene=hspQ;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01194;locus_tag=AG-313-A04_00277;product=Heat shock protein HspQ -AG-313-A04_4 Prodigal:2.6 CDS 22617 23162 . + 0 ID=AG-313-A04_00278;Name=yciB;gene=yciB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P95745;locus_tag=AG-313-A04_00278;product=Intracellular septation protein -AG-313-A04_4 Prodigal:2.6 CDS 23159 23506 . + 0 ID=AG-313-A04_00279;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00279;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 23507 24259 . - 0 ID=AG-313-A04_00280;Name=ybhL;gene=ybhL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AAC4;locus_tag=AG-313-A04_00280;product=Inner membrane protein YbhL -AG-313-A04_4 Prodigal:2.6 CDS 24338 25375 . + 0 ID=AG-313-A04_00281;eC_number=1.1.1.-;Name=yhdN;gene=yhdN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80874;locus_tag=AG-313-A04_00281;product=General stress protein 69 -AG-313-A04_4 Prodigal:2.6 CDS 25417 25917 . + 0 ID=AG-313-A04_00282;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00282;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 25918 27102 . + 0 ID=AG-313-A04_00283;eC_number=6.3.4.5;Name=argG;gene=argG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PHK7;locus_tag=AG-313-A04_00283;product=Argininosuccinate synthase -AG-313-A04_4 Prodigal:2.6 CDS 27125 27511 . + 0 ID=AG-313-A04_00284;Name=psiE;gene=psiE;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01048;locus_tag=AG-313-A04_00284;product=Protein PsiE -AG-313-A04_4 Prodigal:2.6 CDS 27498 28337 . - 0 ID=AG-313-A04_00285;Name=folD;gene=folD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A697;locus_tag=AG-313-A04_00285;product=Bifunctional protein FolD protein -AG-313-A04_4 Prodigal:2.6 CDS 28337 28627 . - 0 ID=AG-313-A04_00286;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00286;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 28624 29718 . - 0 ID=AG-313-A04_00287;Name=ynaI;gene=ynaI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEB5;locus_tag=AG-313-A04_00287;product=Low conductance mechanosensitive channel YnaI -AG-313-A04_4 Prodigal:2.6 CDS 29723 30421 . - 0 ID=AG-313-A04_00288;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00288;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 30418 31338 . - 0 ID=AG-313-A04_00289;eC_number=2.5.1.61;Name=hemC;gene=hemC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64341;locus_tag=AG-313-A04_00289;product=Porphobilinogen deaminase -AG-313-A04_4 Prodigal:2.6 CDS 31396 32472 . + 0 ID=AG-313-A04_00290;eC_number=2.3.1.234;Name=tsaD;gene=tsaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05852;locus_tag=AG-313-A04_00290;product=tRNA N6-adenosine threonylcarbamoyltransferase -AG-313-A04_4 Prodigal:2.6 CDS 32472 32894 . + 0 ID=AG-313-A04_00291;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00291;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 32903 35062 . + 0 ID=AG-313-A04_00292;eC_number=6.2.1.1;Name=acsA_2;gene=acsA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q89WV5;locus_tag=AG-313-A04_00292;product=Acetyl-coenzyme A synthetase -AG-313-A04_4 Prodigal:2.6 CDS 35059 35688 . - 0 ID=AG-313-A04_00293;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00293;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 35843 36100 . + 0 ID=AG-313-A04_00294;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00294;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 36100 37953 . + 0 ID=AG-313-A04_00295;Name=actP;gene=actP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32705;locus_tag=AG-313-A04_00295;product=Cation/acetate symporter ActP -AG-313-A04_4 Prodigal:2.6 CDS 38033 38368 . + 0 ID=AG-313-A04_00296;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00296;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 38416 39078 . + 0 ID=AG-313-A04_00297;eC_number=5.1.3.1;Name=rpe;gene=rpe;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P74061;locus_tag=AG-313-A04_00297;product=Ribulose-phosphate 3-epimerase -AG-313-A04_4 Prodigal:2.6 CDS 39082 40719 . + 0 ID=AG-313-A04_00298;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00298;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 40722 42272 . + 0 ID=AG-313-A04_00299;Name=purH;gene=purH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15639;locus_tag=AG-313-A04_00299;product=Bifunctional purine biosynthesis protein PurH -AG-313-A04_4 Prodigal:2.6 CDS 42269 42607 . - 0 ID=AG-313-A04_00300;eC_number=4.2.1.96;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q02I31;locus_tag=AG-313-A04_00300;product=Putative pterin-4-alpha-carbinolamine dehydratase -AG-313-A04_4 Aragorn:1.2 tRNA 42612 42686 . - . ID=AG-313-A04_00301;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00301;product=tRNA-Gly(gcc) -AG-313-A04_4 Prodigal:2.6 CDS 42777 43394 . + 0 ID=AG-313-A04_00302;eC_number=3.4.21.53;Name=lon2;gene=lon2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P36774;locus_tag=AG-313-A04_00302;product=Lon protease 2 -AG-313-A04_4 Prodigal:2.6 CDS 43397 44671 . - 0 ID=AG-313-A04_00303;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG30;locus_tag=AG-313-A04_00303;note=Transcription termination factor Rho;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 44737 45168 . - 0 ID=AG-313-A04_00304;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00304;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 45170 46162 . - 0 ID=AG-313-A04_00305;eC_number=4.99.1.1;Name=hemH;gene=hemH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23871;locus_tag=AG-313-A04_00305;product=Ferrochelatase -AG-313-A04_4 Prodigal:2.6 CDS 46162 47169 . - 0 ID=AG-313-A04_00306;eC_number=4.1.1.37;Name=hemE;gene=hemE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32920;locus_tag=AG-313-A04_00306;product=Uroporphyrinogen decarboxylase -AG-313-A04_4 Prodigal:2.6 CDS 47440 48258 . + 0 ID=AG-313-A04_00307;eC_number=2.7.11.32;Name=yqfL;gene=yqfL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54470;locus_tag=AG-313-A04_00307;product=Putative pyruvate%2C phosphate dikinase regulatory protein -AG-313-A04_4 Prodigal:2.6 CDS 48255 48839 . + 0 ID=AG-313-A04_00308;Name=maf;gene=maf;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q02169;locus_tag=AG-313-A04_00308;product=Septum formation protein Maf -AG-313-A04_4 Prodigal:2.6 CDS 48836 49654 . + 0 ID=AG-313-A04_00309;eC_number=1.1.1.25;Name=aroE;gene=aroE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67049;locus_tag=AG-313-A04_00309;product=Shikimate dehydrogenase (NADP(+)) -AG-313-A04_4 Prodigal:2.6 CDS 49651 50217 . + 0 ID=AG-313-A04_00310;eC_number=2.7.1.24;Name=coaE;gene=coaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P63831;locus_tag=AG-313-A04_00310;product=Dephospho-CoA kinase -AG-313-A04_4 Prodigal:2.6 CDS 50210 50869 . + 0 ID=AG-313-A04_00311;eC_number=2.7.7.7;Name=dnaQ;gene=dnaQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P03007;locus_tag=AG-313-A04_00311;product=DNA polymerase III subunit epsilon -AG-313-A04_4 Prodigal:2.6 CDS 50863 51282 . - 0 ID=AG-313-A04_00312;Name=secB;gene=secB;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00821;locus_tag=AG-313-A04_00312;product=Protein-export protein SecB -AG-313-A04_4 Prodigal:2.6 CDS 51272 51691 . - 0 ID=AG-313-A04_00313;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00313;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 51718 52338 . + 0 ID=AG-313-A04_00314;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00314;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 52335 52754 . + 0 ID=AG-313-A04_00315;eC_number=3.1.-.-;Name=mutS2;gene=mutS2;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00092;locus_tag=AG-313-A04_00315;product=Endonuclease MutS2 -AG-313-A04_4 Prodigal:2.6 CDS 52749 54122 . - 0 ID=AG-313-A04_00316;Name=hslU;gene=hslU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6H5;locus_tag=AG-313-A04_00316;product=ATP-dependent protease ATPase subunit HslU -AG-313-A04_4 Prodigal:2.6 CDS 54124 54663 . - 0 ID=AG-313-A04_00317;eC_number=3.4.25.2;Name=hslV;gene=hslV;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P43772;locus_tag=AG-313-A04_00317;product=ATP-dependent protease subunit HslV -AG-313-A04_4 Prodigal:2.6 CDS 54766 55356 . + 0 ID=AG-313-A04_00318;Name=hisB;gene=hisB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9S5G5;locus_tag=AG-313-A04_00318;product=Histidine biosynthesis bifunctional protein HisB -AG-313-A04_4 Prodigal:2.6 CDS 55362 55988 . + 0 ID=AG-313-A04_00319;eC_number=2.4.2.-;Name=hisH1;gene=hisH1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0P8U2;locus_tag=AG-313-A04_00319;product=Imidazole glycerol phosphate synthase subunit HisH 1 -AG-313-A04_4 Prodigal:2.6 CDS 55988 56713 . + 0 ID=AG-313-A04_00320;eC_number=5.3.1.16;Name=hisA;gene=hisA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1R562;locus_tag=AG-313-A04_00320;product=1-(5-phosphoribosyl)-5-[(5-phosphoribosylamino)methylideneamino] imidazole-4-carboxamide isomerase -AG-313-A04_4 Prodigal:2.6 CDS 56706 57464 . + 0 ID=AG-313-A04_00321;eC_number=4.1.3.-;Name=hisF;gene=hisF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7SIB9;locus_tag=AG-313-A04_00321;product=Imidazole glycerol phosphate synthase subunit HisF -AG-313-A04_4 Prodigal:2.6 CDS 57466 57738 . + 0 ID=AG-313-A04_00322;eC_number=3.6.1.31;Name=hisE;gene=hisE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q81G00;locus_tag=AG-313-A04_00322;product=Phosphoribosyl-ATP pyrophosphatase -AG-313-A04_4 Prodigal:2.6 CDS 57735 58091 . + 0 ID=AG-313-A04_00323;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64382;locus_tag=AG-313-A04_00323;product=putative HIT-like protein -AG-313-A04_4 Prodigal:2.6 CDS 58091 58597 . + 0 ID=AG-313-A04_00324;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00324;product=hypothetical protein -AG-313-A04_4 Prodigal:2.6 CDS 58594 59154 . - 0 ID=AG-313-A04_00325;Name=lolA;gene=lolA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00240;locus_tag=AG-313-A04_00325;product=Outer-membrane lipoprotein carrier protein -AG-313-A04_5 Aragorn:1.2 tRNA 50 123 . + . ID=AG-313-A04_00326;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00326;product=tRNA-Gln(ttg) -AG-313-A04_5 Prodigal:2.6 CDS 130 1389 . + 0 ID=AG-313-A04_00327;eC_number=2.7.7.72;Name=cca;gene=cca;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7SIB1;locus_tag=AG-313-A04_00327;product=CCA-adding enzyme -AG-313-A04_5 Prodigal:2.6 CDS 1386 1862 . - 0 ID=AG-313-A04_00328;Name=greA;gene=greA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6W5;locus_tag=AG-313-A04_00328;product=Transcription elongation factor GreA -AG-313-A04_5 Prodigal:2.6 CDS 1869 2651 . - 0 ID=AG-313-A04_00329;eC_number=2.1.1.307;Name=elmMIII;gene=elmMIII;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AJU0;locus_tag=AG-313-A04_00329;product=8-demethyl-8-(2%2C3-dimethoxy-alpha-L-rhamnosyl)-tetracenomycin-C 4'-O-methyltransferase -AG-313-A04_5 Prodigal:2.6 CDS 2652 3476 . - 0 ID=AG-313-A04_00330;eC_number=1.3.3.3;Name=hemF;gene=hemF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P72848;locus_tag=AG-313-A04_00330;product=Oxygen-dependent coproporphyrinogen-III oxidase -AG-313-A04_5 Prodigal:2.6 CDS 3476 3925 . - 0 ID=AG-313-A04_00331;eC_number=2.1.1.207;Name=trmL;gene=trmL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44868;locus_tag=AG-313-A04_00331;product=tRNA (cytidine(34)-2'-O)-methyltransferase -AG-313-A04_5 Prodigal:2.6 CDS 4015 4536 . + 0 ID=AG-313-A04_00332;eC_number=1.10.2.2;Name=petA;gene=petA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23136;locus_tag=AG-313-A04_00332;product=Ubiquinol-cytochrome c reductase iron-sulfur subunit -AG-313-A04_5 Prodigal:2.6 CDS 4543 5802 . + 0 ID=AG-313-A04_00333;Name=fbcH_1;gene=fbcH_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P51131;locus_tag=AG-313-A04_00333;product=Cytochrome b/c1 -AG-313-A04_5 Prodigal:2.6 CDS 5789 6574 . + 0 ID=AG-313-A04_00334;Name=fbcH_2;gene=fbcH_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P51131;locus_tag=AG-313-A04_00334;product=Cytochrome b/c1 -AG-313-A04_5 Prodigal:2.6 CDS 6551 7621 . - 0 ID=AG-313-A04_00335;Name=ychF;gene=ychF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABU2;locus_tag=AG-313-A04_00335;product=Ribosome-binding ATPase YchF -AG-313-A04_5 Prodigal:2.6 CDS 7611 8183 . - 0 ID=AG-313-A04_00336;eC_number=3.1.1.29;Name=pth;gene=pth;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6YP15;locus_tag=AG-313-A04_00336;product=Peptidyl-tRNA hydrolase -AG-313-A04_5 Prodigal:2.6 CDS 8189 8941 . - 0 ID=AG-313-A04_00337;Name=rplY;gene=rplY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N1P8;locus_tag=AG-313-A04_00337;product=50S ribosomal protein L25 -AG-313-A04_5 Prodigal:2.6 CDS 8991 9923 . - 0 ID=AG-313-A04_00338;eC_number=2.7.6.1;Name=prs;gene=prs;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P65235;locus_tag=AG-313-A04_00338;product=Ribose-phosphate pyrophosphokinase -AG-313-A04_5 Prodigal:2.6 CDS 9965 10726 . - 0 ID=AG-313-A04_00339;Name=yfiH;gene=yfiH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33644;locus_tag=AG-313-A04_00339;product=Laccase domain protein YfiH -AG-313-A04_5 Prodigal:2.6 CDS 10726 11790 . - 0 ID=AG-313-A04_00340;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00340;product=hypothetical protein -AG-313-A04_5 Prodigal:2.6 CDS 11780 12574 . - 0 ID=AG-313-A04_00341;eC_number=2.4.99.-;Name=lgt;gene=lgt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60955;locus_tag=AG-313-A04_00341;product=Prolipoprotein diacylglyceryl transferase -AG-313-A04_5 Prodigal:2.6 CDS 12627 12872 . + 0 ID=AG-313-A04_00342;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00342;product=hypothetical protein -AG-313-A04_5 Prodigal:2.6 CDS 12850 14169 . - 0 ID=AG-313-A04_00343;eC_number=2.7.13.3;Name=envZ;gene=envZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEJ5;locus_tag=AG-313-A04_00343;product=Osmolarity sensor protein EnvZ -AG-313-A04_5 Prodigal:2.6 CDS 14150 14827 . - 0 ID=AG-313-A04_00344;Name=ompR;gene=ompR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AA16;locus_tag=AG-313-A04_00344;product=Transcriptional regulatory protein OmpR -AG-313-A04_5 Prodigal:2.6 CDS 14817 15257 . - 0 ID=AG-313-A04_00345;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00345;product=hypothetical protein -AG-313-A04_5 Prodigal:2.6 CDS 15332 16219 . + 0 ID=AG-313-A04_00346;eC_number=2.6.1.42;Name=ilvE;gene=ilvE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O86428;locus_tag=AG-313-A04_00346;product=Branched-chain-amino-acid aminotransferase -AG-313-A04_5 Prodigal:2.6 CDS 16216 16959 . - 0 ID=AG-313-A04_00347;eC_number=2.1.1.164;Name=rebM;gene=rebM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8KZ94;locus_tag=AG-313-A04_00347;product=Demethylrebeccamycin-D-glucose O-methyltransferase -AG-313-A04_5 Prodigal:2.6 CDS 16960 17547 . - 0 ID=AG-313-A04_00348;eC_number=2.7.8.5;Name=pgsA;gene=pgsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABF8;locus_tag=AG-313-A04_00348;product=CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase -AG-313-A04_5 Prodigal:2.6 CDS 17551 19389 . - 0 ID=AG-313-A04_00349;Name=uvrC;gene=uvrC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8G0;locus_tag=AG-313-A04_00349;product=UvrABC system protein C -AG-313-A04_5 Prodigal:2.6 CDS 19386 19781 . - 0 ID=AG-313-A04_00350;eC_number=4.1.2.25;Name=folB;gene=folB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P46362;locus_tag=AG-313-A04_00350;product=Dihydroneopterin aldolase -AG-313-A04_5 Prodigal:2.6 CDS 19778 20533 . - 0 ID=AG-313-A04_00351;eC_number=1.1.1.47;Name=gdhIV;gene=gdhIV;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39485;locus_tag=AG-313-A04_00351;product=Glucose 1-dehydrogenase 4 -AG-313-A04_5 Prodigal:2.6 CDS 20515 22686 . - 0 ID=AG-313-A04_00352;Name=uvrB;gene=uvrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8F8;locus_tag=AG-313-A04_00352;product=UvrABC system protein B -AG-313-A04_5 Prodigal:2.6 CDS 22725 23912 . + 0 ID=AG-313-A04_00353;eC_number=2.6.1.1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23034;locus_tag=AG-313-A04_00353;product=Aspartate aminotransferase -AG-313-A04_5 Prodigal:2.6 CDS 23905 24855 . - 0 ID=AG-313-A04_00354;eC_number=4.3.1.9;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93HX6;locus_tag=AG-313-A04_00354;product=Glucosaminate ammonia-lyase -AG-313-A04_5 Prodigal:2.6 CDS 24879 25832 . + 0 ID=AG-313-A04_00355;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00355;product=hypothetical protein -AG-313-A04_5 Prodigal:2.6 CDS 25819 26484 . + 0 ID=AG-313-A04_00356;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00356;product=hypothetical protein -AG-313-A04_5 Prodigal:2.6 CDS 26481 29705 . - 0 ID=AG-313-A04_00357;eC_number=6.3.5.5;Name=carB;gene=carB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00968;locus_tag=AG-313-A04_00357;product=Carbamoyl-phosphate synthase large chain -AG-313-A04_5 Prodigal:2.6 CDS 29683 30891 . - 0 ID=AG-313-A04_00358;eC_number=6.3.5.5;Name=carA;gene=carA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6F1;locus_tag=AG-313-A04_00358;product=Carbamoyl-phosphate synthase small chain -AG-313-A04_5 Prodigal:2.6 CDS 31014 31469 . + 0 ID=AG-313-A04_00359;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00359;product=hypothetical protein -AG-313-A04_5 Prodigal:2.6 CDS 31470 33257 . + 0 ID=AG-313-A04_00360;eC_number=2.7.7.-;Name=dnaG;gene=dnaG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABS5;locus_tag=AG-313-A04_00360;product=DNA primase -AG-313-A04_5 Prodigal:2.6 CDS 33309 35177 . + 0 ID=AG-313-A04_00361;Name=rpoD;gene=rpoD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2K619;locus_tag=AG-313-A04_00361;product=RNA polymerase sigma factor RpoD -AG-313-A04_5 Aragorn:1.2 tRNA 35205 35281 . + . ID=AG-313-A04_00362;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00362;product=tRNA-Met(cat) -AG-313-A04_5 Prodigal:2.6 CDS 35284 35883 . - 0 ID=AG-313-A04_00363;Name=mlaC;gene=mlaC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADV7;locus_tag=AG-313-A04_00363;product=putative phospholipid-binding protein MlaC -AG-313-A04_5 Prodigal:2.6 CDS 35893 36636 . - 0 ID=AG-313-A04_00364;Name=mlaA;gene=mlaA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76506;locus_tag=AG-313-A04_00364;product=putative phospholipid-binding lipoprotein MlaA -AG-313-A04_5 Prodigal:2.6 CDS 36731 37438 . + 0 ID=AG-313-A04_00365;eC_number=3.5.1.28;Name=amiD;gene=amiD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75820;locus_tag=AG-313-A04_00365;product=N-acetylmuramoyl-L-alanine amidase AmiD -AG-313-A04_5 Prodigal:2.6 CDS 37980 38441 . + 0 ID=AG-313-A04_00366;Name=mraZ;gene=mraZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0R025;locus_tag=AG-313-A04_00366;product=Transcriptional regulator MraZ -AG-313-A04_5 Prodigal:2.6 CDS 38411 39892 . + 0 ID=AG-313-A04_00367;Name=ftsZ;gene=ftsZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WN95;locus_tag=AG-313-A04_00367;product=Cell division protein FtsZ -AG-313-A04_5 Prodigal:2.6 CDS 39911 40921 . + 0 ID=AG-313-A04_00368;eC_number=2.1.1.199;Name=rsmH;gene=rsmH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9WZX6;locus_tag=AG-313-A04_00368;product=Ribosomal RNA small subunit methyltransferase H -AG-313-A04_5 Prodigal:2.6 CDS 40914 41261 . + 0 ID=AG-313-A04_00369;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00369;product=hypothetical protein -AG-313-A04_5 Prodigal:2.6 CDS 41227 42948 . + 0 ID=AG-313-A04_00370;eC_number=2.4.1.129;Name=ftsI;gene=ftsI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8H0A0;locus_tag=AG-313-A04_00370;product=Peptidoglycan synthase FtsI -AG-313-A04_5 Prodigal:2.6 CDS 42926 45682 . + 0 ID=AG-313-A04_00371;eC_number=6.3.2.13;Name=murE;gene=murE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q819Q0;locus_tag=AG-313-A04_00371;product=UDP-N-acetylmuramoyl-L-alanyl-D-glutamate--2%2C6-diaminopimelate ligase -AG-313-A04_5 Prodigal:2.6 CDS 45683 46768 . + 0 ID=AG-313-A04_00372;eC_number=2.7.8.13;Name=mraY;gene=mraY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6W3;locus_tag=AG-313-A04_00372;product=Phospho-N-acetylmuramoyl-pentapeptide-transferase -AG-313-A04_5 Prodigal:2.6 CDS 46770 48047 . + 0 ID=AG-313-A04_00373;eC_number=6.3.2.9;Name=murD;gene=murD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A090;locus_tag=AG-313-A04_00373;product=UDP-N-acetylmuramoylalanine--D-glutamate ligase -AG-313-A04_5 Prodigal:2.6 CDS 48028 49155 . + 0 ID=AG-313-A04_00374;Name=ftsW;gene=ftsW;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8H092;locus_tag=AG-313-A04_00374;product=Putative lipid II flippase FtsW -AG-313-A04_5 Prodigal:2.6 CDS 49148 50245 . + 0 ID=AG-313-A04_00375;eC_number=2.4.1.227;Name=murG;gene=murG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HW01;locus_tag=AG-313-A04_00375;product=UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase -AG-313-A04_5 Prodigal:2.6 CDS 50232 51629 . + 0 ID=AG-313-A04_00376;eC_number=6.3.2.8;Name=murC;gene=murC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45066;locus_tag=AG-313-A04_00376;product=UDP-N-acetylmuramate--L-alanine ligase -AG-313-A04_5 Prodigal:2.6 CDS 51626 52531 . + 0 ID=AG-313-A04_00377;eC_number=1.3.1.98;Name=murB;gene=murB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8Y776;locus_tag=AG-313-A04_00377;product=UDP-N-acetylenolpyruvoylglucosamine reductase -AG-313-A04_6 Prodigal:2.6 CDS 966 3329 . + 0 ID=AG-313-A04_00378;Name=mrcA;gene=mrcA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q07806;locus_tag=AG-313-A04_00378;product=Penicillin-binding protein 1A -AG-313-A04_6 Prodigal:2.6 CDS 3549 4418 . + 0 ID=AG-313-A04_00379;Name=prfB;gene=prfB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07012;locus_tag=AG-313-A04_00379;product=Peptide chain release factor 2 -AG-313-A04_6 Prodigal:2.6 CDS 4415 6589 . + 0 ID=AG-313-A04_00380;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00380;product=hypothetical protein -AG-313-A04_6 Prodigal:2.6 CDS 6582 7796 . - 0 ID=AG-313-A04_00381;eC_number=6.1.1.1;Name=tyrS;gene=tyrS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00952;locus_tag=AG-313-A04_00381;product=Tyrosine--tRNA ligase -AG-313-A04_6 Prodigal:2.6 CDS 7876 8988 . + 0 ID=AG-313-A04_00382;eC_number=2.7.1.170;Name=anmK;gene=anmK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I5Q5;locus_tag=AG-313-A04_00382;product=Anhydro-N-acetylmuramic acid kinase -AG-313-A04_6 Prodigal:2.6 CDS 8991 9647 . - 0 ID=AG-313-A04_00383;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00383;product=hypothetical protein -AG-313-A04_6 Prodigal:2.6 CDS 9779 10204 . + 0 ID=AG-313-A04_00384;Name=iscR;gene=iscR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGK8;locus_tag=AG-313-A04_00384;product=HTH-type transcriptional regulator IscR -AG-313-A04_6 Prodigal:2.6 CDS 10201 11637 . + 0 ID=AG-313-A04_00385;Name=sufB;gene=sufB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77522;locus_tag=AG-313-A04_00385;product=FeS cluster assembly protein SufB -AG-313-A04_6 Prodigal:2.6 CDS 11637 12371 . + 0 ID=AG-313-A04_00386;Name=sufC;gene=sufC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77499;locus_tag=AG-313-A04_00386;product=putative ATP-dependent transporter SufC -AG-313-A04_6 Prodigal:2.6 CDS 12372 13616 . + 0 ID=AG-313-A04_00387;Name=sufD;gene=sufD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77689;locus_tag=AG-313-A04_00387;product=FeS cluster assembly protein SufD -AG-313-A04_6 Prodigal:2.6 CDS 13606 14823 . + 0 ID=AG-313-A04_00388;eC_number=2.8.1.7;Name=sufS;gene=sufS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32164;locus_tag=AG-313-A04_00388;product=Cysteine desulfurase SufS -AG-313-A04_6 Prodigal:2.6 CDS 14824 15264 . + 0 ID=AG-313-A04_00389;eC_number=2.-.-.-;Name=sufU;gene=sufU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32163;locus_tag=AG-313-A04_00389;product=Zinc-dependent sulfurtransferase SufU -AG-313-A04_6 Prodigal:2.6 CDS 15261 15563 . + 0 ID=AG-313-A04_00390;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00390;product=hypothetical protein -AG-313-A04_6 Prodigal:2.6 CDS 15560 15895 . + 0 ID=AG-313-A04_00391;Name=iscA;gene=iscA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AAC8;locus_tag=AG-313-A04_00391;product=Iron-binding protein IscA -AG-313-A04_6 Prodigal:2.6 CDS 15892 17298 . - 0 ID=AG-313-A04_00392;eC_number=6.3.1.2;Name=glnA;gene=glnA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A1P6;locus_tag=AG-313-A04_00392;product=Glutamine synthetase -AG-313-A04_6 Prodigal:2.6 CDS 17419 18297 . + 0 ID=AG-313-A04_00393;Name=eamA;gene=eamA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P31125;locus_tag=AG-313-A04_00393;product=putative amino-acid metabolite efflux pump -AG-313-A04_6 Prodigal:2.6 CDS 18306 19367 . + 0 ID=AG-313-A04_00394;eC_number=2.7.8.33;Name=wecA;gene=wecA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X1N5;locus_tag=AG-313-A04_00394;product=Undecaprenyl-phosphate alpha-N-acetylglucosaminyl 1-phosphate transferase -AG-313-A04_6 Aragorn:1.2 tRNA 19397 19481 . + . ID=AG-313-A04_00395;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00395;product=tRNA-Leu(tag) -AG-313-A04_6 Prodigal:2.6 CDS 19489 20856 . + 0 ID=AG-313-A04_00396;eC_number=5.2.1.8;Name=tig;gene=tig;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83DJ3;locus_tag=AG-313-A04_00396;product=Trigger factor -AG-313-A04_6 Prodigal:2.6 CDS 20879 21490 . + 0 ID=AG-313-A04_00397;eC_number=3.4.21.92;Name=clpP;gene=clpP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5NH47;locus_tag=AG-313-A04_00397;product=ATP-dependent Clp protease proteolytic subunit -AG-313-A04_6 Prodigal:2.6 CDS 21570 22823 . + 0 ID=AG-313-A04_00398;Name=clpX;gene=clpX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0CAU2;locus_tag=AG-313-A04_00398;product=ATP-dependent Clp protease ATP-binding subunit ClpX -AG-313-A04_6 Prodigal:2.6 CDS 22874 25258 . + 0 ID=AG-313-A04_00399;eC_number=3.4.21.53;Name=lon;gene=lon;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2YPX3;locus_tag=AG-313-A04_00399;product=Lon protease -AG-313-A04_6 Prodigal:2.6 CDS 25266 26147 . - 0 ID=AG-313-A04_00400;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00400;product=hypothetical protein -AG-313-A04_6 Prodigal:2.6 CDS 26198 28750 . + 0 ID=AG-313-A04_00401;eC_number=5.1.3.2;Name=galE;gene=galE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7WTB1;locus_tag=AG-313-A04_00401;product=UDP-glucose 4-epimerase -AG-313-A04_6 Prodigal:2.6 CDS 28740 29270 . - 0 ID=AG-313-A04_00402;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00402;product=hypothetical protein -AG-313-A04_6 Prodigal:2.6 CDS 29534 30892 . + 0 ID=AG-313-A04_00403;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00403;product=hypothetical protein -AG-313-A04_6 Prodigal:2.6 CDS 30896 32743 . + 0 ID=AG-313-A04_00404;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00404;product=hypothetical protein -AG-313-A04_6 Prodigal:2.6 CDS 32740 33639 . + 0 ID=AG-313-A04_00405;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00405;product=hypothetical protein -AG-313-A04_6 Aragorn:1.2 tRNA 33758 33833 . + . ID=AG-313-A04_00406;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00406;product=tRNA-Val(tac) -AG-313-A04_6 Aragorn:1.2 tRNA 33851 33928 . + . ID=AG-313-A04_00407;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00407;product=tRNA-Asp(gtc) -AG-313-A04_6 Prodigal:2.6 CDS 34095 34463 . + 0 ID=AG-313-A04_00408;eC_number=1.6.5.-;Name=ndhC;gene=ndhC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19045;locus_tag=AG-313-A04_00408;product=NAD(P)H-quinone oxidoreductase subunit 3 -AG-313-A04_6 Prodigal:2.6 CDS 34454 34990 . + 0 ID=AG-313-A04_00409;eC_number=1.6.5.11;Name=nuoB;gene=nuoB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1B497;locus_tag=AG-313-A04_00409;product=NADH-quinone oxidoreductase subunit B -AG-313-A04_6 Prodigal:2.6 CDS 34992 35606 . + 0 ID=AG-313-A04_00410;eC_number=1.6.5.11;Name=nqo5;gene=nqo5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29917;locus_tag=AG-313-A04_00410;product=NADH-quinone oxidoreductase chain 5 -AG-313-A04_6 Prodigal:2.6 CDS 35590 36765 . + 0 ID=AG-313-A04_00411;eC_number=1.6.5.11;Name=nuoD;gene=nuoD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1B495;locus_tag=AG-313-A04_00411;product=NADH-quinone oxidoreductase subunit D -AG-313-A04_6 Prodigal:2.6 CDS 36762 37367 . + 0 ID=AG-313-A04_00412;eC_number=1.6.5.11;Name=nqo2;gene=nqo2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29914;locus_tag=AG-313-A04_00412;product=NADH-quinone oxidoreductase chain 2 -AG-313-A04_6 Prodigal:2.6 CDS 37360 38691 . + 0 ID=AG-313-A04_00413;eC_number=1.6.5.11;Name=nuoF;gene=nuoF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A8GQT6;locus_tag=AG-313-A04_00413;product=NADH-quinone oxidoreductase subunit F -AG-313-A04_6 Prodigal:2.6 CDS 38684 40738 . + 0 ID=AG-313-A04_00414;eC_number=1.6.5.11;Name=nqo3;gene=nqo3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29915;locus_tag=AG-313-A04_00414;product=NADH-quinone oxidoreductase chain 3 -AG-313-A04_6 Prodigal:2.6 CDS 40741 41745 . + 0 ID=AG-313-A04_00415;eC_number=1.6.5.11;Name=nuoH;gene=nuoH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P42032;locus_tag=AG-313-A04_00415;product=NADH-quinone oxidoreductase subunit H -AG-313-A04_6 Prodigal:2.6 CDS 41745 42230 . + 0 ID=AG-313-A04_00416;eC_number=1.6.5.11;Name=nuoI;gene=nuoI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1B486;locus_tag=AG-313-A04_00416;product=NADH-quinone oxidoreductase subunit I -AG-313-A04_6 Prodigal:2.6 CDS 42231 42857 . + 0 ID=AG-313-A04_00417;eC_number=1.6.5.11;Name=nuoJ;gene=nuoJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFE0;locus_tag=AG-313-A04_00417;product=NADH-quinone oxidoreductase subunit J -AG-313-A04_6 Prodigal:2.6 CDS 42850 43161 . + 0 ID=AG-313-A04_00418;eC_number=1.6.5.11;Name=nuoK;gene=nuoK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1B482;locus_tag=AG-313-A04_00418;product=NADH-quinone oxidoreductase subunit K -AG-313-A04_6 Prodigal:2.6 CDS 43162 45069 . + 0 ID=AG-313-A04_00419;eC_number=1.6.5.11;Name=nuoL;gene=nuoL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIW1;locus_tag=AG-313-A04_00419;product=NADH-quinone oxidoreductase subunit L -AG-313-A04_6 Prodigal:2.6 CDS 45073 46560 . + 0 ID=AG-313-A04_00420;eC_number=1.6.5.11;Name=nuoM;gene=nuoM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFE8;locus_tag=AG-313-A04_00420;product=NADH-quinone oxidoreductase subunit M -AG-313-A04_6 Prodigal:2.6 CDS 47266 47427 . - 0 ID=AG-313-A04_00421;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00421;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 66 1145 . + 0 ID=AG-313-A04_00422;Name=bamA;gene=bamA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:D5CHY0;locus_tag=AG-313-A04_00422;product=Outer membrane protein assembly factor BamA -AG-313-A04_7 Prodigal:2.6 CDS 1147 1668 . + 0 ID=AG-313-A04_00423;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00423;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 1675 2637 . + 0 ID=AG-313-A04_00424;eC_number=2.3.1.-;Name=lpxD;gene=lpxD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B0VMV2;locus_tag=AG-313-A04_00424;product=UDP-3-O-acylglucosamine N-acyltransferase -AG-313-A04_7 Prodigal:2.6 CDS 2634 3089 . + 0 ID=AG-313-A04_00425;eC_number=4.2.1.59;Name=fabZ;gene=fabZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O25928;locus_tag=AG-313-A04_00425;product=3-hydroxyacyl-[acyl-carrier-protein] dehydratase FabZ -AG-313-A04_7 Prodigal:2.6 CDS 3086 3865 . + 0 ID=AG-313-A04_00426;eC_number=2.3.1.129;Name=lpxA;gene=lpxA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O25927;locus_tag=AG-313-A04_00426;product=Acyl-[acyl-carrier-protein]--UDP-N-acetylglucosamine O-acyltransferase -AG-313-A04_7 Prodigal:2.6 CDS 3870 4658 . + 0 ID=AG-313-A04_00427;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00427;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 4655 5722 . + 0 ID=AG-313-A04_00428;eC_number=1.1.5.-;Name=yliI_1;gene=yliI_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75804;locus_tag=AG-313-A04_00428;product=Soluble aldose sugar dehydrogenase YliI -AG-313-A04_7 Prodigal:2.6 CDS 5719 6849 . + 0 ID=AG-313-A04_00429;eC_number=2.4.1.182;Name=lpxB;gene=lpxB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10441;locus_tag=AG-313-A04_00429;product=Lipid-A-disaccharide synthase -AG-313-A04_7 Prodigal:2.6 CDS 6846 7775 . + 0 ID=AG-313-A04_00430;eC_number=3.5.1.-;Name=hdaH;gene=hdaH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q70I53;locus_tag=AG-313-A04_00430;product=Histone deacetylase-like amidohydrolase -AG-313-A04_7 Prodigal:2.6 CDS 7758 7880 . - 0 ID=AG-313-A04_00431;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00431;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 7906 8364 . + 0 ID=AG-313-A04_00432;eC_number=1.8.4.12;Name=msrB_1;gene=msrB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A746;locus_tag=AG-313-A04_00432;product=Peptide methionine sulfoxide reductase MsrB -AG-313-A04_7 Prodigal:2.6 CDS 8479 9195 . + 0 ID=AG-313-A04_00433;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00433;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 9192 9515 . - 0 ID=AG-313-A04_00434;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00434;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 9608 9784 . + 0 ID=AG-313-A04_00435;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00435;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 10059 10700 . + 0 ID=AG-313-A04_00436;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00436;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 10702 11490 . + 0 ID=AG-313-A04_00437;eC_number=3.4.-.-;Name=prsW;gene=prsW;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P50738;locus_tag=AG-313-A04_00437;product=Protease PrsW -AG-313-A04_7 Prodigal:2.6 CDS 11495 12409 . + 0 ID=AG-313-A04_00438;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00438;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 12406 13299 . + 0 ID=AG-313-A04_00439;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00439;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 13302 13616 . - 0 ID=AG-313-A04_00440;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00440;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 13755 13940 . + 0 ID=AG-313-A04_00441;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00441;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 13930 14103 . + 0 ID=AG-313-A04_00442;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00442;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 14104 14784 . + 0 ID=AG-313-A04_00443;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00443;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 14788 16314 . + 0 ID=AG-313-A04_00444;eC_number=3.6.4.12;Name=recD2;gene=recD2;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01488;locus_tag=AG-313-A04_00444;product=ATP-dependent RecD-like DNA helicase -AG-313-A04_7 Prodigal:2.6 CDS 16314 16616 . + 0 ID=AG-313-A04_00445;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00445;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 16636 17454 . + 0 ID=AG-313-A04_00446;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00446;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 17451 18737 . - 0 ID=AG-313-A04_00447;eC_number=2.1.1.37;Name=banIM;gene=banIM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19888;locus_tag=AG-313-A04_00447;product=Modification methylase BanI -AG-313-A04_7 Prodigal:2.6 CDS 18751 20145 . - 0 ID=AG-313-A04_00448;eC_number=6.1.1.17;Name=gltX;gene=gltX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2SX36;locus_tag=AG-313-A04_00448;product=Glutamate--tRNA ligase -AG-313-A04_7 Prodigal:2.6 CDS 20165 20857 . - 0 ID=AG-313-A04_00449;eC_number=3.4.21.88;Name=lexA;gene=lexA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9ZFA4;locus_tag=AG-313-A04_00449;product=LexA repressor -AG-313-A04_7 Prodigal:2.6 CDS 20910 21704 . - 0 ID=AG-313-A04_00450;eC_number=4.1.1.48;Name=trpC;gene=trpC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0QX95;locus_tag=AG-313-A04_00450;product=Indole-3-glycerol phosphate synthase -AG-313-A04_7 Prodigal:2.6 CDS 21704 22699 . - 0 ID=AG-313-A04_00451;eC_number=2.4.2.18;Name=trpD;gene=trpD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00500;locus_tag=AG-313-A04_00451;product=Anthranilate phosphoribosyltransferase -AG-313-A04_7 Prodigal:2.6 CDS 22702 23268 . - 0 ID=AG-313-A04_00452;eC_number=4.1.3.27;Name=trpG;gene=trpG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26922;locus_tag=AG-313-A04_00452;product=Anthranilate synthase component 2 -AG-313-A04_7 Prodigal:2.6 CDS 23268 24725 . - 0 ID=AG-313-A04_00453;eC_number=4.1.3.27;Name=trpE;gene=trpE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P20580;locus_tag=AG-313-A04_00453;product=Anthranilate synthase component 1 -AG-313-A04_7 Prodigal:2.6 CDS 24722 26176 . - 0 ID=AG-313-A04_00454;eC_number=5.2.1.8;Name=ppiD;gene=ppiD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADY1;locus_tag=AG-313-A04_00454;product=Peptidyl-prolyl cis-trans isomerase D -AG-313-A04_7 Prodigal:2.6 CDS 26240 26983 . + 0 ID=AG-313-A04_00455;eC_number=5.3.1.1;Name=tpiA;gene=tpiA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8L1Z5;locus_tag=AG-313-A04_00455;product=Triosephosphate isomerase -AG-313-A04_7 Prodigal:2.6 CDS 26989 27288 . + 0 ID=AG-313-A04_00456;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00456;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 27333 28955 . + 0 ID=AG-313-A04_00457;eC_number=6.3.4.2;Name=pyrG;gene=pyrG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7E5;locus_tag=AG-313-A04_00457;product=CTP synthase -AG-313-A04_7 Prodigal:2.6 CDS 28952 29773 . + 0 ID=AG-313-A04_00458;eC_number=2.5.1.55;Name=kdsA;gene=kdsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8YHF1;locus_tag=AG-313-A04_00458;product=2-dehydro-3-deoxyphosphooctonate aldolase -AG-313-A04_7 Prodigal:2.6 CDS 29777 31033 . + 0 ID=AG-313-A04_00459;eC_number=4.2.1.11;Name=eno;gene=eno;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P42848;locus_tag=AG-313-A04_00459;product=Enolase -AG-313-A04_7 Prodigal:2.6 CDS 31037 31330 . + 0 ID=AG-313-A04_00460;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00460;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 31327 32271 . + 0 ID=AG-313-A04_00461;eC_number=2.8.1.8;Name=lipA;gene=lipA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32129;locus_tag=AG-313-A04_00461;product=Lipoyl synthase -AG-313-A04_7 Prodigal:2.6 CDS 32253 32696 . + 0 ID=AG-313-A04_00462;Name=pasT;gene=pasT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8FEY4;locus_tag=AG-313-A04_00462;product=Persistence and stress-resistance toxin PasT -AG-313-A04_7 Prodigal:2.6 CDS 32696 33007 . + 0 ID=AG-313-A04_00463;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00463;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 33004 35154 . - 0 ID=AG-313-A04_00464;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00464;product=hypothetical protein -AG-313-A04_7 Prodigal:2.6 CDS 35232 35708 . - 0 ID=AG-313-A04_00465;eC_number=3.5.1.42;Name=pncC;gene=pncC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6G3;locus_tag=AG-313-A04_00465;product=Nicotinamide-nucleotide amidohydrolase PncC -AG-313-A04_7 Prodigal:2.6 CDS 35708 36211 . - 0 ID=AG-313-A04_00466;eC_number=3.1.3.27;Name=pgpA;gene=pgpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P18200;locus_tag=AG-313-A04_00466;product=Phosphatidylglycerophosphatase A -AG-313-A04_7 Prodigal:2.6 CDS 36204 37349 . - 0 ID=AG-313-A04_00467;Name=ispDF;gene=ispDF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PM68;locus_tag=AG-313-A04_00467;product=Bifunctional enzyme IspD/IspF -AG-313-A04_8 Prodigal:2.6 CDS 13 222 . + 0 ID=AG-313-A04_00468;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00468;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 225 1142 . + 0 ID=AG-313-A04_00469;eC_number=2.5.1.75;Name=miaA;gene=miaA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P16384;locus_tag=AG-313-A04_00469;product=tRNA dimethylallyltransferase -AG-313-A04_8 Prodigal:2.6 CDS 1180 2949 . + 0 ID=AG-313-A04_00470;eC_number=2.2.1.6;Name=ilvI;gene=ilvI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00893;locus_tag=AG-313-A04_00470;product=Acetolactate synthase isozyme 3 large subunit -AG-313-A04_8 Prodigal:2.6 CDS 2949 3500 . + 0 ID=AG-313-A04_00471;eC_number=2.2.1.6;Name=ilvH;gene=ilvH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00894;locus_tag=AG-313-A04_00471;product=Acetolactate synthase isozyme 3 small subunit -AG-313-A04_8 Prodigal:2.6 CDS 3511 4530 . + 0 ID=AG-313-A04_00472;eC_number=1.1.1.86;Name=ilvC;gene=ilvC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVA2;locus_tag=AG-313-A04_00472;product=Ketol-acid reductoisomerase -AG-313-A04_8 Prodigal:2.6 CDS 4632 6188 . + 0 ID=AG-313-A04_00473;eC_number=2.3.3.13;Name=leuA;gene=leuA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9JZG1;locus_tag=AG-313-A04_00473;product=2-isopropylmalate synthase -AG-313-A04_8 Prodigal:2.6 CDS 6199 7236 . + 0 ID=AG-313-A04_00474;Name=mreB;gene=mreB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9X4;locus_tag=AG-313-A04_00474;product=Rod shape-determining protein MreB -AG-313-A04_8 Prodigal:2.6 CDS 7255 8100 . + 0 ID=AG-313-A04_00475;Name=mreC;gene=mreC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8H610;locus_tag=AG-313-A04_00475;product=Cell shape-determining protein MreC -AG-313-A04_8 Prodigal:2.6 CDS 8100 8612 . + 0 ID=AG-313-A04_00476;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00476;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 8605 10539 . + 0 ID=AG-313-A04_00477;Name=mrdA;gene=mrdA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AD65;locus_tag=AG-313-A04_00477;product=Penicillin-binding protein 2 -AG-313-A04_8 Prodigal:2.6 CDS 10539 11663 . + 0 ID=AG-313-A04_00478;Name=mrdB;gene=mrdB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABG7;locus_tag=AG-313-A04_00478;product=Rod shape-determining protein RodA -AG-313-A04_8 Prodigal:2.6 CDS 11732 12199 . + 0 ID=AG-313-A04_00479;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00479;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 12245 13504 . + 0 ID=AG-313-A04_00480;eC_number=1.4.99.-;Name=dadA1;gene=dadA1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HTQ0;locus_tag=AG-313-A04_00480;product=D-amino acid dehydrogenase 1 -AG-313-A04_8 Prodigal:2.6 CDS 13512 14405 . + 0 ID=AG-313-A04_00481;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00481;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 14398 15348 . + 0 ID=AG-313-A04_00482;eC_number=1.1.1.81;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X1C1;locus_tag=AG-313-A04_00482;product=Hydroxypyruvate reductase -AG-313-A04_8 Prodigal:2.6 CDS 15457 15849 . + 0 ID=AG-313-A04_00483;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00483;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 15959 16414 . + 0 ID=AG-313-A04_00484;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00484;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 16391 16759 . - 0 ID=AG-313-A04_00485;eC_number=2.8.1.1;Name=glpE_2;gene=glpE_2;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01009;locus_tag=AG-313-A04_00485;product=Thiosulfate sulfurtransferase GlpE -AG-313-A04_8 Prodigal:2.6 CDS 16803 18095 . - 0 ID=AG-313-A04_00486;eC_number=4.4.1.11;Name=mdeA;gene=mdeA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P13254;locus_tag=AG-313-A04_00486;product=Methionine gamma-lyase -AG-313-A04_8 Prodigal:2.6 CDS 18399 19316 . - 0 ID=AG-313-A04_00487;eC_number=6.3.2.3;Name=gshB;gene=gshB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04425;locus_tag=AG-313-A04_00487;product=Glutathione synthetase -AG-313-A04_8 Prodigal:2.6 CDS 19285 20628 . - 0 ID=AG-313-A04_00488;eC_number=6.3.2.2;Name=egtA;gene=egtA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WPK7;locus_tag=AG-313-A04_00488;product=Glutamate--cysteine ligase EgtA -AG-313-A04_8 Prodigal:2.6 CDS 20618 21013 . - 0 ID=AG-313-A04_00489;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00489;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 21069 21644 . + 0 ID=AG-313-A04_00490;eC_number=2.3.1.30;Name=cysE;gene=cysE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q06750;locus_tag=AG-313-A04_00490;product=Serine acetyltransferase -AG-313-A04_8 Prodigal:2.6 CDS 21637 22014 . + 0 ID=AG-313-A04_00491;eC_number=1.8.4.12;Name=msrB_2;gene=msrB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3JRF0;locus_tag=AG-313-A04_00491;product=Peptide methionine sulfoxide reductase MsrB -AG-313-A04_8 Prodigal:2.6 CDS 22134 22694 . + 0 ID=AG-313-A04_00492;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00492;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 22691 23035 . - 0 ID=AG-313-A04_00493;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00493;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 23086 23799 . + 0 ID=AG-313-A04_00494;eC_number=1.8.1.8;Name=dsbD;gene=dsbD;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00399;locus_tag=AG-313-A04_00494;product=Thiol:disulfide interchange protein DsbD -AG-313-A04_8 Prodigal:2.6 CDS 23799 24701 . + 0 ID=AG-313-A04_00495;eC_number=2.7.1.15;Name=rbsK;gene=rbsK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9J6;locus_tag=AG-313-A04_00495;product=Ribokinase -AG-313-A04_8 Prodigal:2.6 CDS 24693 24947 . - 0 ID=AG-313-A04_00496;Name=grxC;gene=grxC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC62;locus_tag=AG-313-A04_00496;product=Glutaredoxin-3 -AG-313-A04_8 Prodigal:2.6 CDS 24950 25246 . - 0 ID=AG-313-A04_00497;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00497;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 25272 25886 . + 0 ID=AG-313-A04_00498;Name=rhtB;gene=rhtB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG34;locus_tag=AG-313-A04_00498;product=Homoserine/homoserine lactone efflux protein -AG-313-A04_8 Prodigal:2.6 CDS 25963 27204 . + 0 ID=AG-313-A04_00499;Name=braC;gene=braC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21175;locus_tag=AG-313-A04_00499;product=Leucine-%2C isoleucine-%2C valine-%2C threonine-%2C and alanine-binding protein -AG-313-A04_8 Prodigal:2.6 CDS 27273 28166 . + 0 ID=AG-313-A04_00500;Name=livH_1;gene=livH_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEX7;locus_tag=AG-313-A04_00500;product=High-affinity branched-chain amino acid transport system permease protein LivH -AG-313-A04_8 Prodigal:2.6 CDS 28163 29026 . + 0 ID=AG-313-A04_00501;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00501;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 29035 30090 . + 0 ID=AG-313-A04_00502;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00502;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 30087 30821 . + 0 ID=AG-313-A04_00503;eC_number=3.6.3.-;Name=lptB_1;gene=lptB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45073;locus_tag=AG-313-A04_00503;product=Lipopolysaccharide export system ATP-binding protein LptB -AG-313-A04_8 Prodigal:2.6 CDS 30821 31606 . + 0 ID=AG-313-A04_00504;Name=livF_1;gene=livF_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P22731;locus_tag=AG-313-A04_00504;product=High-affinity branched-chain amino acid transport ATP-binding protein LivF -AG-313-A04_8 Prodigal:2.6 CDS 31603 32307 . + 0 ID=AG-313-A04_00505;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00505;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 32297 32623 . + 0 ID=AG-313-A04_00506;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00506;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 32707 33603 . + 0 ID=AG-313-A04_00507;Name=csiD;gene=csiD;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01083;locus_tag=AG-313-A04_00507;product=Protein CsiD -AG-313-A04_8 Prodigal:2.6 CDS 33694 34674 . + 0 ID=AG-313-A04_00508;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00508;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 34698 35168 . + 0 ID=AG-313-A04_00509;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00509;product=hypothetical protein -AG-313-A04_8 Prodigal:2.6 CDS 35165 36667 . + 0 ID=AG-313-A04_00510;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00510;product=hypothetical protein -AG-313-A04_9 Prodigal:2.6 CDS 830 2179 . - 0 ID=AG-313-A04_00511;eC_number=6.1.1.16;Name=cysS;gene=cysS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83BL7;locus_tag=AG-313-A04_00511;product=Cysteine--tRNA ligase -AG-313-A04_9 Prodigal:2.6 CDS 2172 2909 . - 0 ID=AG-313-A04_00512;eC_number=6.3.1.5;Name=nadE;gene=nadE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PPB0;locus_tag=AG-313-A04_00512;product=NH(3)-dependent NAD(+) synthetase -AG-313-A04_9 Prodigal:2.6 CDS 2963 4339 . - 0 ID=AG-313-A04_00513;eC_number=2.5.1.54;Name=aroH;gene=aroH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80574;locus_tag=AG-313-A04_00513;product=Phospho-2-dehydro-3-deoxyheptonate aldolase -AG-313-A04_9 Prodigal:2.6 CDS 4403 4819 . - 0 ID=AG-313-A04_00514;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00514;product=hypothetical protein -AG-313-A04_9 Prodigal:2.6 CDS 4821 6638 . - 0 ID=AG-313-A04_00515;eC_number=2.6.1.16;Name=nodM;gene=nodM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25195;locus_tag=AG-313-A04_00515;product=Glutamine--fructose-6-phosphate aminotransferase [isomerizing] -AG-313-A04_9 Prodigal:2.6 CDS 6638 7324 . - 0 ID=AG-313-A04_00516;Name=glmU;gene=glmU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A4TSJ5;locus_tag=AG-313-A04_00516;product=Bifunctional protein GlmU -AG-313-A04_9 Prodigal:2.6 CDS 7352 8014 . + 0 ID=AG-313-A04_00517;eC_number=3.1.3.18;Name=cbbZC;gene=cbbZC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40852;locus_tag=AG-313-A04_00517;product=Phosphoglycolate phosphatase%2C chromosomal -AG-313-A04_9 Prodigal:2.6 CDS 8011 8610 . + 0 ID=AG-313-A04_00518;Name=eamB_1;gene=eamB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P38101;locus_tag=AG-313-A04_00518;product=Cysteine/O-acetylserine efflux protein -AG-313-A04_9 Prodigal:2.6 CDS 8651 9547 . + 0 ID=AG-313-A04_00519;eC_number=4.1.3.30;Name=prpB;gene=prpB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q56062;locus_tag=AG-313-A04_00519;product=2-methylisocitrate lyase -AG-313-A04_9 Prodigal:2.6 CDS 9547 10671 . + 0 ID=AG-313-A04_00520;eC_number=2.3.3.5;Name=prpC;gene=prpC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:I6Y9Q3;locus_tag=AG-313-A04_00520;product=2-methylcitrate synthase -AG-313-A04_9 Prodigal:2.6 CDS 10672 10857 . + 0 ID=AG-313-A04_00521;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00521;product=hypothetical protein -AG-313-A04_9 Prodigal:2.6 CDS 10895 11743 . + 0 ID=AG-313-A04_00522;eC_number=2.1.1.10;Name=mmuM;gene=mmuM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q47690;locus_tag=AG-313-A04_00522;product=Homocysteine S-methyltransferase -AG-313-A04_9 Prodigal:2.6 CDS 11735 12586 . - 0 ID=AG-313-A04_00523;Name=proW;gene=proW;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P14176;locus_tag=AG-313-A04_00523;product=Glycine betaine/L-proline transport system permease protein ProW -AG-313-A04_9 Prodigal:2.6 CDS 12606 13547 . - 0 ID=AG-313-A04_00524;Name=proX_1;gene=proX_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFM2;locus_tag=AG-313-A04_00524;product=Glycine betaine-binding periplasmic protein -AG-313-A04_9 Prodigal:2.6 CDS 13676 14617 . - 0 ID=AG-313-A04_00525;Name=proX_2;gene=proX_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFM2;locus_tag=AG-313-A04_00525;product=Glycine betaine-binding periplasmic protein -AG-313-A04_9 Prodigal:2.6 CDS 14702 15100 . - 0 ID=AG-313-A04_00526;Name=zur;gene=zur;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC51;locus_tag=AG-313-A04_00526;product=Zinc uptake regulation protein -AG-313-A04_9 Prodigal:2.6 CDS 15124 15927 . - 0 ID=AG-313-A04_00527;Name=znuB;gene=znuB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39832;locus_tag=AG-313-A04_00527;product=High-affinity zinc uptake system membrane protein ZnuB -AG-313-A04_9 Prodigal:2.6 CDS 15928 16695 . - 0 ID=AG-313-A04_00528;eC_number=3.6.3.-;Name=znuC;gene=znuC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9X1;locus_tag=AG-313-A04_00528;product=Zinc import ATP-binding protein ZnuC -AG-313-A04_9 Prodigal:2.6 CDS 16734 17726 . + 0 ID=AG-313-A04_00529;Name=znuA;gene=znuA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39172;locus_tag=AG-313-A04_00529;product=High-affinity zinc uptake system protein ZnuA -AG-313-A04_9 Prodigal:2.6 CDS 17734 18990 . - 0 ID=AG-313-A04_00530;eC_number=1.1.5.-;Name=yliI_2;gene=yliI_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75804;locus_tag=AG-313-A04_00530;product=Soluble aldose sugar dehydrogenase YliI -AG-313-A04_9 Prodigal:2.6 CDS 18991 19638 . - 0 ID=AG-313-A04_00531;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00531;product=hypothetical protein -AG-313-A04_9 Prodigal:2.6 CDS 19642 20649 . - 0 ID=AG-313-A04_00532;eC_number=1.17.4.1;Name=nrdB;gene=nrdB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O84835;locus_tag=AG-313-A04_00532;product=Ribonucleoside-diphosphate reductase subunit beta -AG-313-A04_9 Prodigal:2.6 CDS 20640 22589 . - 0 ID=AG-313-A04_00533;eC_number=1.17.4.1;Name=nrdZ;gene=nrdZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WH76;locus_tag=AG-313-A04_00533;product=Vitamin B12-dependent ribonucleoside-diphosphate reductase -AG-313-A04_9 Prodigal:2.6 CDS 22776 24218 . + 0 ID=AG-313-A04_00534;eC_number=5.4.2.2;Name=algC;gene=algC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26276;locus_tag=AG-313-A04_00534;product=Phosphomannomutase/phosphoglucomutase -AG-313-A04_9 Prodigal:2.6 CDS 24215 25045 . - 0 ID=AG-313-A04_00535;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00535;product=hypothetical protein -AG-313-A04_9 Prodigal:2.6 CDS 25048 26031 . - 0 ID=AG-313-A04_00536;eC_number=1.3.1.-;Name=dusA;gene=dusA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32695;locus_tag=AG-313-A04_00536;product=tRNA-dihydrouridine(20/20a) synthase -AG-313-A04_9 Prodigal:2.6 CDS 26035 26532 . - 0 ID=AG-313-A04_00537;eC_number=2.7.7.6;Name=rpoZ;gene=rpoZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q02E25;locus_tag=AG-313-A04_00537;product=DNA-directed RNA polymerase subunit omega -AG-313-A04_9 Prodigal:2.6 CDS 26573 27790 . - 0 ID=AG-313-A04_00538;Name=nepI;gene=nepI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8XGS2;locus_tag=AG-313-A04_00538;product=Purine ribonucleoside efflux pump NepI -AG-313-A04_9 Prodigal:2.6 CDS 27793 28662 . + 0 ID=AG-313-A04_00539;eC_number=1.1.1.291;Name=Hgd;gene=Hgd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0QLF5;locus_tag=AG-313-A04_00539;product=2-(hydroxymethyl)glutarate dehydrogenase -AG-313-A04_9 Prodigal:2.6 CDS 28666 29274 . + 0 ID=AG-313-A04_00540;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00540;product=hypothetical protein -AG-313-A04_9 Prodigal:2.6 CDS 29277 30191 . + 0 ID=AG-313-A04_00541;eC_number=2.7.1.4;Name=mak;gene=mak;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23917;locus_tag=AG-313-A04_00541;product=Fructokinase -AG-313-A04_9 Prodigal:2.6 CDS 30202 31023 . - 0 ID=AG-313-A04_00542;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00542;product=hypothetical protein -AG-313-A04_9 Prodigal:2.6 CDS 30980 31483 . - 0 ID=AG-313-A04_00543;eC_number=2.3.1.89;Name=dapH;gene=dapH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A2S0;locus_tag=AG-313-A04_00543;product=2%2C3%2C4%2C5-tetrahydropyridine-2%2C6-dicarboxylate N-acetyltransferase -AG-313-A04_9 Prodigal:2.6 CDS 31525 32082 . + 0 ID=AG-313-A04_00544;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00544;product=hypothetical protein -AG-313-A04_9 Prodigal:2.6 CDS 32082 33167 . + 0 ID=AG-313-A04_00545;eC_number=2.4.1.57;Name=pimB;gene=pimB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0R043;locus_tag=AG-313-A04_00545;product=GDP-mannose-dependent alpha-(1-6)-phosphatidylinositol monomannoside mannosyltransferase -AG-313-A04_9 Prodigal:2.6 CDS 33154 34089 . - 0 ID=AG-313-A04_00546;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00546;product=hypothetical protein -AG-313-A04_9 Prodigal:2.6 CDS 34136 34531 . + 0 ID=AG-313-A04_00547;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00547;product=hypothetical protein -AG-313-A04_9 Prodigal:2.6 CDS 34532 35329 . - 0 ID=AG-313-A04_00548;eC_number=3.5.1.111;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93NG1;locus_tag=AG-313-A04_00548;product=2-oxoglutaramate amidase -AG-313-A04_9 Prodigal:2.6 CDS 35329 36066 . - 0 ID=AG-313-A04_00549;eC_number=2.5.1.104;Name=speE;gene=speE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SK28;locus_tag=AG-313-A04_00549;product=Polyamine aminopropyltransferase -AG-313-A04_10 Prodigal:2.6 CDS 51 482 . + 0 ID=AG-313-A04_00550;Name=tatC;gene=tatC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67305;locus_tag=AG-313-A04_00550;product=Sec-independent protein translocase protein TatC -AG-313-A04_10 Prodigal:2.6 CDS 475 1722 . + 0 ID=AG-313-A04_00551;eC_number=6.1.1.11;Name=serS;gene=serS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8L1;locus_tag=AG-313-A04_00551;product=Serine--tRNA ligase -AG-313-A04_10 Prodigal:2.6 CDS 1770 2054 . + 0 ID=AG-313-A04_00552;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00552;product=hypothetical protein -AG-313-A04_10 Prodigal:2.6 CDS 2064 3599 . + 0 ID=AG-313-A04_00553;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00553;product=hypothetical protein -AG-313-A04_10 Prodigal:2.6 CDS 3599 4495 . + 0 ID=AG-313-A04_00554;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00554;product=hypothetical protein -AG-313-A04_10 Prodigal:2.6 CDS 4497 5099 . - 0 ID=AG-313-A04_00555;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00555;product=hypothetical protein -AG-313-A04_10 Prodigal:2.6 CDS 5127 8006 . - 0 ID=AG-313-A04_00556;Name=uvrA;gene=uvrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P63383;locus_tag=AG-313-A04_00556;product=UvrABC system protein A -AG-313-A04_10 Prodigal:2.6 CDS 8106 8564 . + 0 ID=AG-313-A04_00557;Name=ssb;gene=ssb;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P28046;locus_tag=AG-313-A04_00557;product=Single-stranded DNA-binding protein -AG-313-A04_10 Prodigal:2.6 CDS 8571 11141 . + 0 ID=AG-313-A04_00558;eC_number=5.99.1.3;Name=gyrA;gene=gyrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AES5;locus_tag=AG-313-A04_00558;product=DNA gyrase subunit A -AG-313-A04_10 Prodigal:2.6 CDS 11142 11630 . + 0 ID=AG-313-A04_00559;eC_number=2.7.7.3;Name=coaD;gene=coaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3JW91;locus_tag=AG-313-A04_00559;product=Phosphopantetheine adenylyltransferase -AG-313-A04_10 Prodigal:2.6 CDS 11630 12181 . + 0 ID=AG-313-A04_00560;eC_number=5.2.1.8;Name=ppiB;gene=ppiB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P35137;locus_tag=AG-313-A04_00560;product=Peptidyl-prolyl cis-trans isomerase B -AG-313-A04_10 Prodigal:2.6 CDS 12187 13302 . + 0 ID=AG-313-A04_00561;eC_number=2.4.2.29;Name=tgt;gene=tgt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P28720;locus_tag=AG-313-A04_00561;product=Queuine tRNA-ribosyltransferase -AG-313-A04_10 Aragorn:1.2 tRNA 13347 13422 . + . ID=AG-313-A04_00562;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00562;product=tRNA-Lys(ttt) -AG-313-A04_10 Prodigal:2.6 CDS 13424 14257 . - 0 ID=AG-313-A04_00563;eC_number=3.4.-.-;Name=bepA_1;gene=bepA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P66948;locus_tag=AG-313-A04_00563;product=Beta-barrel assembly-enhancing protease -AG-313-A04_10 Prodigal:2.6 CDS 14350 14964 . + 0 ID=AG-313-A04_00564;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00564;product=hypothetical protein -AG-313-A04_10 Prodigal:2.6 CDS 14961 17000 . - 0 ID=AG-313-A04_00565;eC_number=3.6.4.12;Name=recG;gene=recG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64325;locus_tag=AG-313-A04_00565;product=ATP-dependent DNA helicase RecG -AG-313-A04_10 Prodigal:2.6 CDS 17033 17290 . + 0 ID=AG-313-A04_00566;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00566;product=hypothetical protein -AG-313-A04_10 Aragorn:1.2 tRNA 17291 17380 . - . ID=AG-313-A04_00567;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00567;product=tRNA-Ser(tga) -AG-313-A04_10 Prodigal:2.6 CDS 17485 18480 . + 0 ID=AG-313-A04_00568;eC_number=4.2.2.-;Name=mltB;gene=mltB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P41052;locus_tag=AG-313-A04_00568;product=Membrane-bound lytic murein transglycosylase B -AG-313-A04_10 Prodigal:2.6 CDS 18470 19210 . + 0 ID=AG-313-A04_00569;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00569;product=hypothetical protein -AG-313-A04_10 Prodigal:2.6 CDS 19203 20351 . + 0 ID=AG-313-A04_00570;eC_number=3.4.16.4;Name=dacC;gene=dacC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08506;locus_tag=AG-313-A04_00570;product=D-alanyl-D-alanine carboxypeptidase DacC -AG-313-A04_10 Prodigal:2.6 CDS 20344 20988 . + 0 ID=AG-313-A04_00571;eC_number=2.7.4.9;Name=tmk;gene=tmk;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67099;locus_tag=AG-313-A04_00571;product=Thymidylate kinase -AG-313-A04_10 Prodigal:2.6 CDS 20988 21923 . + 0 ID=AG-313-A04_00572;eC_number=2.7.7.7;Name=dnaX_1;gene=dnaX_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06710;locus_tag=AG-313-A04_00572;product=DNA polymerase III subunit tau -AG-313-A04_10 Prodigal:2.6 CDS 21916 23457 . + 0 ID=AG-313-A04_00573;eC_number=6.1.1.10;Name=metG;gene=metG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WFU5;locus_tag=AG-313-A04_00573;product=Methionine--tRNA ligase -AG-313-A04_10 Prodigal:2.6 CDS 23447 24223 . + 0 ID=AG-313-A04_00574;eC_number=3.1.21.-;Name=ycfH;gene=ycfH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFQ7;locus_tag=AG-313-A04_00574;product=putative deoxyribonuclease YcfH -AG-313-A04_10 Prodigal:2.6 CDS 24220 24987 . + 0 ID=AG-313-A04_00575;eC_number=3.1.4.55;Name=phnP;gene=phnP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P16692;locus_tag=AG-313-A04_00575;product=Phosphoribosyl 1%2C2-cyclic phosphodiesterase -AG-313-A04_10 Prodigal:2.6 CDS 24984 25523 . - 0 ID=AG-313-A04_00576;eC_number=1.11.1.22;Name=gpx1;gene=gpx1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P74250;locus_tag=AG-313-A04_00576;product=Hydroperoxy fatty acid reductase gpx1 -AG-313-A04_10 Prodigal:2.6 CDS 25520 25915 . - 0 ID=AG-313-A04_00577;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00577;product=hypothetical protein -AG-313-A04_10 Prodigal:2.6 CDS 25912 27084 . - 0 ID=AG-313-A04_00578;Name=nhaA;gene=nhaA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q56725;locus_tag=AG-313-A04_00578;product=Na(+)/H(+) antiporter NhaA -AG-313-A04_10 Aragorn:1.2 tRNA 27158 27234 . + . ID=AG-313-A04_00579;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00579;product=tRNA-Pro(tgg) -AG-313-A04_10 Prodigal:2.6 CDS 27241 27525 . + 0 ID=AG-313-A04_00580;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00580;product=hypothetical protein -AG-313-A04_10 Prodigal:2.6 CDS 27528 28535 . + 0 ID=AG-313-A04_00581;Name=sbmA;gene=sbmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFY6;locus_tag=AG-313-A04_00581;product=Peptide antibiotic transporter SbmA -AG-313-A04_10 Prodigal:2.6 CDS 28535 29434 . + 0 ID=AG-313-A04_00582;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00582;product=hypothetical protein -AG-313-A04_10 Prodigal:2.6 CDS 29858 30133 . - 0 ID=AG-313-A04_00583;eC_number=2.1.1.63;Name=adaB;gene=adaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19220;locus_tag=AG-313-A04_00583;product=Methylated-DNA--protein-cysteine methyltransferase%2C inducible -AG-313-A04_10 Prodigal:2.6 CDS 30133 30333 . - 0 ID=AG-313-A04_00584;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00584;product=hypothetical protein -AG-313-A04_10 Prodigal:2.6 CDS 30375 31289 . + 0 ID=AG-313-A04_00585;Name=xerD;gene=xerD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8P8;locus_tag=AG-313-A04_00585;product=Tyrosine recombinase XerD -AG-313-A04_10 Prodigal:2.6 CDS 31299 31628 . - 0 ID=AG-313-A04_00586;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00586;product=hypothetical protein -AG-313-A04_11 Prodigal:2.6 CDS 110 670 . + 0 ID=AG-313-A04_00587;eC_number=2.1.1.171;Name=rsmD;gene=rsmD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44869;locus_tag=AG-313-A04_00587;product=Ribosomal RNA small subunit methyltransferase D -AG-313-A04_11 Prodigal:2.6 CDS 663 1880 . - 0 ID=AG-313-A04_00588;eC_number=5.3.1.9;Name=pgi;gene=pgi;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X1A5;locus_tag=AG-313-A04_00588;product=Glucose-6-phosphate isomerase -AG-313-A04_11 Prodigal:2.6 CDS 1877 2185 . - 0 ID=AG-313-A04_00589;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00589;product=hypothetical protein -AG-313-A04_11 Prodigal:2.6 CDS 2182 2688 . - 0 ID=AG-313-A04_00590;eC_number=3.4.23.36;Name=lspA;gene=lspA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00804;locus_tag=AG-313-A04_00590;product=Lipoprotein signal peptidase -AG-313-A04_11 Prodigal:2.6 CDS 2690 5413 . - 0 ID=AG-313-A04_00591;eC_number=6.1.1.5;Name=ileS;gene=ileS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00956;locus_tag=AG-313-A04_00591;product=Isoleucine--tRNA ligase -AG-313-A04_11 Prodigal:2.6 CDS 5416 6324 . - 0 ID=AG-313-A04_00592;Name=ribF;gene=ribF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG40;locus_tag=AG-313-A04_00592;product=Riboflavin biosynthesis protein RibF -AG-313-A04_11 Prodigal:2.6 CDS 6324 7130 . - 0 ID=AG-313-A04_00593;eC_number=3.-.-.-;Name=yutF;gene=yutF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32125;locus_tag=AG-313-A04_00593;product=putative hydrolase YutF -AG-313-A04_11 Prodigal:2.6 CDS 7261 7557 . + 0 ID=AG-313-A04_00594;Name=groS5;gene=groS5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P35474;locus_tag=AG-313-A04_00594;product=10 kDa chaperonin 5 -AG-313-A04_11 Prodigal:2.6 CDS 7575 9233 . + 0 ID=AG-313-A04_00595;Name=groL5;gene=groL5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P35471;locus_tag=AG-313-A04_00595;product=60 kDa chaperonin 5 -AG-313-A04_11 Prodigal:2.6 CDS 9236 9916 . - 0 ID=AG-313-A04_00596;eC_number=2.4.2.17;Name=hisG;gene=hisG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00499;locus_tag=AG-313-A04_00596;product=ATP phosphoribosyltransferase -AG-313-A04_11 Prodigal:2.6 CDS 9913 10950 . - 0 ID=AG-313-A04_00597;Name=hisZ;gene=hisZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9K6Z0;locus_tag=AG-313-A04_00597;product=ATP phosphoribosyltransferase regulatory subunit -AG-313-A04_11 Prodigal:2.6 CDS 10928 12262 . - 0 ID=AG-313-A04_00598;eC_number=6.1.1.21;Name=hisS;gene=hisS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8YMC2;locus_tag=AG-313-A04_00598;product=Histidine--tRNA ligase -AG-313-A04_11 Aragorn:1.2 tRNA 12267 12343 . - . ID=AG-313-A04_00599;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00599;product=tRNA-His(gtg) -AG-313-A04_11 Prodigal:2.6 CDS 12582 12794 . - 0 ID=AG-313-A04_00600;Name=cspE;gene=cspE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:E0J1Q3;locus_tag=AG-313-A04_00600;product=Cold shock-like protein CspE -AG-313-A04_11 Prodigal:2.6 CDS 12928 14034 . - 0 ID=AG-313-A04_00601;eC_number=6.4.1.2;Name=accA;gene=accA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABD5;locus_tag=AG-313-A04_00601;product=Acetyl-coenzyme A carboxylase carboxyl transferase subunit alpha -AG-313-A04_11 Prodigal:2.6 CDS 14093 16237 . + 0 ID=AG-313-A04_00602;eC_number=2.3.3.9;Name=glcB;gene=glcB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37330;locus_tag=AG-313-A04_00602;product=Malate synthase G -AG-313-A04_11 Prodigal:2.6 CDS 16234 16839 . - 0 ID=AG-313-A04_00603;Name=recR;gene=recR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8RDI4;locus_tag=AG-313-A04_00603;product=Recombination protein RecR -AG-313-A04_11 Prodigal:2.6 CDS 16839 17159 . - 0 ID=AG-313-A04_00604;Name=ybaB;gene=ybaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8B5;locus_tag=AG-313-A04_00604;product=Nucleoid-associated protein YbaB -AG-313-A04_11 Prodigal:2.6 CDS 17160 18830 . - 0 ID=AG-313-A04_00605;eC_number=2.7.7.7;Name=dnaX_2;gene=dnaX_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06710;locus_tag=AG-313-A04_00605;product=DNA polymerase III subunit tau -AG-313-A04_11 Prodigal:2.6 CDS 18988 19821 . - 0 ID=AG-313-A04_00606;Name=pheA;gene=pheA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9J8;locus_tag=AG-313-A04_00606;product=P-protein -AG-313-A04_11 Prodigal:2.6 CDS 19823 20557 . - 0 ID=AG-313-A04_00607;eC_number=2.7.7.38;Name=kpsU;gene=kpsU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P42216;locus_tag=AG-313-A04_00607;product=3-deoxy-manno-octulosonate cytidylyltransferase -AG-313-A04_11 Prodigal:2.6 CDS 20650 21198 . + 0 ID=AG-313-A04_00608;Name=cycM;gene=cycM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54820;locus_tag=AG-313-A04_00608;product=Cytochrome c-552 -AG-313-A04_11 Prodigal:2.6 CDS 21195 22121 . - 0 ID=AG-313-A04_00609;eC_number=2.1.3.3;Name=argF;gene=argF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P11724;locus_tag=AG-313-A04_00609;product=Ornithine carbamoyltransferase -AG-313-A04_11 Prodigal:2.6 CDS 22118 23284 . - 0 ID=AG-313-A04_00610;eC_number=2.6.1.11;Name=argD;gene=argD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X2A5;locus_tag=AG-313-A04_00610;product=Acetylornithine aminotransferase -AG-313-A04_11 Prodigal:2.6 CDS 23287 24099 . - 0 ID=AG-313-A04_00611;Name=yadH;gene=yadH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFN6;locus_tag=AG-313-A04_00611;product=Inner membrane transport permease YadH -AG-313-A04_11 Prodigal:2.6 CDS 24236 24733 . + 0 ID=AG-313-A04_00612;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00612;product=hypothetical protein -AG-313-A04_11 Prodigal:2.6 CDS 24745 24972 . + 0 ID=AG-313-A04_00613;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00613;product=hypothetical protein -AG-313-A04_11 Prodigal:2.6 CDS 25204 26172 . + 0 ID=AG-313-A04_00614;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00614;product=hypothetical protein -AG-313-A04_11 Prodigal:2.6 CDS 26182 26409 . - 0 ID=AG-313-A04_00615;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00615;product=hypothetical protein -AG-313-A04_11 Prodigal:2.6 CDS 26622 27554 . - 0 ID=AG-313-A04_00616;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00616;product=hypothetical protein -AG-313-A04_11 Prodigal:2.6 CDS 27551 28177 . - 0 ID=AG-313-A04_00617;eC_number=3.6.3.20;Name=ugpC_1;gene=ugpC_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10907;locus_tag=AG-313-A04_00617;product=sn-glycerol-3-phosphate import ATP-binding protein UgpC -AG-313-A04_12 Prodigal:2.6 CDS 631 1113 . + 0 ID=AG-313-A04_00618;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00618;product=hypothetical protein -AG-313-A04_12 Prodigal:2.6 CDS 1097 1690 . + 0 ID=AG-313-A04_00619;Name=bdbD;gene=bdbD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32218;locus_tag=AG-313-A04_00619;product=Disulfide bond formation protein D -AG-313-A04_12 Prodigal:2.6 CDS 1691 4135 . + 0 ID=AG-313-A04_00620;Name=smc;gene=smc;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8GZ28;locus_tag=AG-313-A04_00620;product=Chromosome partition protein Smc -AG-313-A04_12 Prodigal:2.6 CDS 4147 4431 . + 0 ID=AG-313-A04_00621;Name=atpI;gene=atpI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O05329;locus_tag=AG-313-A04_00621;product=ATP synthase protein I -AG-313-A04_12 Prodigal:2.6 CDS 4461 5180 . + 0 ID=AG-313-A04_00622;Name=atpB;gene=atpB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O05330;locus_tag=AG-313-A04_00622;product=ATP synthase subunit a -AG-313-A04_12 Prodigal:2.6 CDS 5195 5422 . + 0 ID=AG-313-A04_00623;Name=atpE;gene=atpE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O05331;locus_tag=AG-313-A04_00623;product=ATP synthase subunit c -AG-313-A04_12 Prodigal:2.6 CDS 5430 6005 . + 0 ID=AG-313-A04_00624;Name=atpG_2;gene=atpG_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O05332;locus_tag=AG-313-A04_00624;product=ATP synthase subunit b' -AG-313-A04_12 Prodigal:2.6 CDS 6002 6499 . + 0 ID=AG-313-A04_00625;Name=atpF;gene=atpF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15013;locus_tag=AG-313-A04_00625;product=ATP synthase subunit b -AG-313-A04_12 Prodigal:2.6 CDS 6517 7983 . + 0 ID=AG-313-A04_00626;eC_number=1.3.99.31;Name=crtI;gene=crtI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21685;locus_tag=AG-313-A04_00626;product=Phytoene desaturase (lycopene-forming) -AG-313-A04_12 Prodigal:2.6 CDS 7983 8831 . + 0 ID=AG-313-A04_00627;eC_number=2.5.1.32;Name=crtB;gene=crtB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21683;locus_tag=AG-313-A04_00627;product=All-trans-phytoene synthase/15-cis-phytoene synthase -AG-313-A04_12 Prodigal:2.6 CDS 8818 9885 . + 0 ID=AG-313-A04_00628;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00628;product=hypothetical protein -AG-313-A04_12 Prodigal:2.6 CDS 9885 10790 . + 0 ID=AG-313-A04_00629;eC_number=1.13.11.63;Name=blh;gene=blh;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q4PNI0;locus_tag=AG-313-A04_00629;product=Beta-carotene 15%2C15'-dioxygenase -AG-313-A04_12 Prodigal:2.6 CDS 10774 11718 . + 0 ID=AG-313-A04_00630;eC_number=1.17.1.2;Name=ispH;gene=ispH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P62623;locus_tag=AG-313-A04_00630;product=4-hydroxy-3-methylbut-2-enyl diphosphate reductase -AG-313-A04_12 Prodigal:2.6 CDS 11718 12686 . + 0 ID=AG-313-A04_00631;eC_number=2.7.1.39;Name=thrB;gene=thrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8UHA8;locus_tag=AG-313-A04_00631;product=Homoserine kinase -AG-313-A04_12 Prodigal:2.6 CDS 12686 13108 . + 0 ID=AG-313-A04_00632;eC_number=3.1.26.4;Name=rnhA;gene=rnhA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7Y4;locus_tag=AG-313-A04_00632;product=Ribonuclease HI -AG-313-A04_12 Prodigal:2.6 CDS 13101 13586 . - 0 ID=AG-313-A04_00633;eC_number=1.11.1.15;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P73728;locus_tag=AG-313-A04_00633;product=Putative peroxiredoxin -AG-313-A04_12 Prodigal:2.6 CDS 13583 14959 . - 0 ID=AG-313-A04_00634;eC_number=4.2.3.1;Name=thrC;gene=thrC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23669;locus_tag=AG-313-A04_00634;product=Threonine synthase -AG-313-A04_12 Prodigal:2.6 CDS 14956 15618 . - 0 ID=AG-313-A04_00635;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WGA7;locus_tag=AG-313-A04_00635;product=putative SURF1-like protein -AG-313-A04_12 Prodigal:2.6 CDS 15626 16417 . - 0 ID=AG-313-A04_00636;eC_number=1.9.3.1;Name=ctaE;gene=ctaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06030;locus_tag=AG-313-A04_00636;product=Cytochrome c oxidase subunit 3 -AG-313-A04_12 Prodigal:2.6 CDS 16420 16968 . - 0 ID=AG-313-A04_00637;Name=ctaG;gene=ctaG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P56940;locus_tag=AG-313-A04_00637;product=Cytochrome c oxidase assembly protein CtaG -AG-313-A04_12 Prodigal:2.6 CDS 17084 17926 . - 0 ID=AG-313-A04_00638;eC_number=2.5.1.-;Name=ctaB;gene=ctaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3J5F9;locus_tag=AG-313-A04_00638;product=Protoheme IX farnesyltransferase -AG-313-A04_12 Prodigal:2.6 CDS 18003 19607 . - 0 ID=AG-313-A04_00639;eC_number=1.9.3.1;Name=ctaD;gene=ctaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P31833;locus_tag=AG-313-A04_00639;product=Cytochrome c oxidase subunit 1 -AG-313-A04_12 Prodigal:2.6 CDS 19607 20431 . - 0 ID=AG-313-A04_00640;eC_number=1.9.3.1;Name=ctaC;gene=ctaC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q03736;locus_tag=AG-313-A04_00640;product=Cytochrome c oxidase subunit 2 -AG-313-A04_12 Prodigal:2.6 CDS 20483 21196 . - 0 ID=AG-313-A04_00641;eC_number=2.1.1.193;Name=rsmE;gene=rsmE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44627;locus_tag=AG-313-A04_00641;product=Ribosomal RNA small subunit methyltransferase E -AG-313-A04_12 Prodigal:2.6 CDS 21214 21876 . + 0 ID=AG-313-A04_00642;eC_number=3.8.1.2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q53464;locus_tag=AG-313-A04_00642;product=(S)-2-haloacid dehalogenase -AG-313-A04_12 Prodigal:2.6 CDS 21902 22141 . + 0 ID=AG-313-A04_00643;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00643;product=hypothetical protein -AG-313-A04_12 Prodigal:2.6 CDS 22148 22990 . + 0 ID=AG-313-A04_00644;eC_number=1.13.11.24;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WI85;locus_tag=AG-313-A04_00644;product=Putative quercetin 2%2C3-dioxygenase -AG-313-A04_12 Prodigal:2.6 CDS 23012 23986 . + 0 ID=AG-313-A04_00645;eC_number=1.6.5.5;Name=qorA;gene=qorA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P28304;locus_tag=AG-313-A04_00645;product=Quinone oxidoreductase 1 -AG-313-A04_12 Prodigal:2.6 CDS 23986 24249 . + 0 ID=AG-313-A04_00646;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00646;product=hypothetical protein -AG-313-A04_12 Prodigal:2.6 CDS 24252 24662 . - 0 ID=AG-313-A04_00647;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00647;product=hypothetical protein -AG-313-A04_12 Prodigal:2.6 CDS 24716 25576 . + 0 ID=AG-313-A04_00648;eC_number=2.5.1.-;Name=ubiA;gene=ubiA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGK1;locus_tag=AG-313-A04_00648;product=4-hydroxybenzoate octaprenyltransferase -AG-313-A04_13 Prodigal:2.6 CDS 79 222 . + 0 ID=AG-313-A04_00649;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00649;product=hypothetical protein -AG-313-A04_13 Prodigal:2.6 CDS 222 659 . + 0 ID=AG-313-A04_00650;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00650;product=hypothetical protein -AG-313-A04_13 Prodigal:2.6 CDS 656 1186 . - 0 ID=AG-313-A04_00651;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75925;locus_tag=AG-313-A04_00651;note=Cytochrome b561 homolog 2;product=hypothetical protein -AG-313-A04_13 Prodigal:2.6 CDS 1206 1646 . + 0 ID=AG-313-A04_00652;Name=cycA;gene=cycA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00149;locus_tag=AG-313-A04_00652;product=Cytochrome c' -AG-313-A04_13 Prodigal:2.6 CDS 1647 2240 . + 0 ID=AG-313-A04_00653;Name=eamB_2;gene=eamB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P38101;locus_tag=AG-313-A04_00653;product=Cysteine/O-acetylserine efflux protein -AG-313-A04_13 Prodigal:2.6 CDS 2244 4919 . + 0 ID=AG-313-A04_00654;eC_number=4.2.1.3;Name=acn;gene=acn;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37032;locus_tag=AG-313-A04_00654;product=Aconitate hydratase A -AG-313-A04_13 Prodigal:2.6 CDS 4920 6425 . + 0 ID=AG-313-A04_00655;eC_number=4.2.1.79;Name=prpD2;gene=prpD2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8NSL3;locus_tag=AG-313-A04_00655;product=2-methylcitrate dehydratase 2 -AG-313-A04_13 Prodigal:2.6 CDS 6426 7388 . - 0 ID=AG-313-A04_00656;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00656;product=hypothetical protein -AG-313-A04_13 Prodigal:2.6 CDS 7385 8005 . - 0 ID=AG-313-A04_00657;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00657;product=hypothetical protein -AG-313-A04_13 Prodigal:2.6 CDS 8065 9390 . + 0 ID=AG-313-A04_00658;Name=dinF;gene=dinF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P28303;locus_tag=AG-313-A04_00658;product=DNA-damage-inducible protein F -AG-313-A04_13 Prodigal:2.6 CDS 9391 10254 . + 0 ID=AG-313-A04_00659;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00659;product=hypothetical protein -AG-313-A04_13 Prodigal:2.6 CDS 10460 11554 . + 0 ID=AG-313-A04_00660;eC_number=2.1.2.10;Name=gcvT;gene=gcvT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54378;locus_tag=AG-313-A04_00660;product=Aminomethyltransferase -AG-313-A04_13 Prodigal:2.6 CDS 11569 11949 . + 0 ID=AG-313-A04_00661;Name=gcvH;gene=gcvH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9WY55;locus_tag=AG-313-A04_00661;product=Glycine cleavage system H protein -AG-313-A04_13 Prodigal:2.6 CDS 11949 14816 . + 0 ID=AG-313-A04_00662;eC_number=1.4.4.2;Name=gcvP;gene=gcvP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P74416;locus_tag=AG-313-A04_00662;product=Glycine dehydrogenase (decarboxylating) -AG-313-A04_14 Prodigal:2.6 CDS 906 1262 . - 0 ID=AG-313-A04_00663;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00663;product=hypothetical protein -AG-313-A04_14 Prodigal:2.6 CDS 1259 2059 . - 0 ID=AG-313-A04_00664;Name=sugB;gene=sugB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WG01;locus_tag=AG-313-A04_00664;product=Trehalose transport system permease protein SugB -AG-313-A04_14 Prodigal:2.6 CDS 2056 2922 . - 0 ID=AG-313-A04_00665;Name=ugpA;gene=ugpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10905;locus_tag=AG-313-A04_00665;product=sn-glycerol-3-phosphate transport system permease protein UgpA -AG-313-A04_14 Prodigal:2.6 CDS 2922 4034 . - 0 ID=AG-313-A04_00666;eC_number=3.6.3.20;Name=ugpC_2;gene=ugpC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10907;locus_tag=AG-313-A04_00666;product=sn-glycerol-3-phosphate import ATP-binding protein UgpC -AG-313-A04_14 Prodigal:2.6 CDS 3979 5043 . - 0 ID=AG-313-A04_00667;eC_number=3.6.3.20;Name=ugpC_3;gene=ugpC_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10907;locus_tag=AG-313-A04_00667;product=sn-glycerol-3-phosphate import ATP-binding protein UgpC -AG-313-A04_14 Prodigal:2.6 CDS 5119 6849 . - 0 ID=AG-313-A04_00668;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00668;product=hypothetical protein -AG-313-A04_14 Prodigal:2.6 CDS 6955 8436 . - 0 ID=AG-313-A04_00669;eC_number=2.7.1.30;Name=glpK;gene=glpK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O86033;locus_tag=AG-313-A04_00669;product=Glycerol kinase -AG-313-A04_14 Prodigal:2.6 CDS 8433 9479 . - 0 ID=AG-313-A04_00670;eC_number=1.1.1.94;Name=gpsA2;gene=gpsA2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WN75;locus_tag=AG-313-A04_00670;product=putative glycerol-3-phosphate dehydrogenase 2 [NAD(P)+] -AG-313-A04_14 Prodigal:2.6 CDS 9479 10891 . - 0 ID=AG-313-A04_00671;Name=trkG;gene=trkG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23849;locus_tag=AG-313-A04_00671;product=Trk system potassium uptake protein TrkG -AG-313-A04_14 Prodigal:2.6 CDS 10897 12270 . - 0 ID=AG-313-A04_00672;Name=trkA;gene=trkA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGI8;locus_tag=AG-313-A04_00672;product=Trk system potassium uptake protein TrkA -AG-313-A04_14 Prodigal:2.6 CDS 12274 13641 . - 0 ID=AG-313-A04_00673;Name=glnG;gene=glnG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFB8;locus_tag=AG-313-A04_00673;product=Nitrogen regulation protein NR(I) -AG-313-A04_14 Prodigal:2.6 CDS 13634 14971 . - 0 ID=AG-313-A04_00674;eC_number=2.7.13.3;Name=zraS;gene=zraS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P14377;locus_tag=AG-313-A04_00674;product=Sensor protein ZraS -AG-313-A04_15 Prodigal:2.6 CDS 537 983 . + 0 ID=AG-313-A04_00675;eC_number=1.8.4.11;Name=mrsA;gene=mrsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PHN0;locus_tag=AG-313-A04_00675;product=Peptide methionine sulfoxide reductase MsrA -AG-313-A04_15 Prodigal:2.6 CDS 983 1795 . + 0 ID=AG-313-A04_00676;eC_number=2.8.1.2;Name=sseA;gene=sseA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P31142;locus_tag=AG-313-A04_00676;product=3-mercaptopyruvate sulfurtransferase -AG-313-A04_15 Prodigal:2.6 CDS 1771 2673 . + 0 ID=AG-313-A04_00677;Name=bepD;gene=bepD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8G2M7;locus_tag=AG-313-A04_00677;product=Efflux pump periplasmic linker BepD -AG-313-A04_15 Prodigal:2.6 CDS 2674 5769 . + 0 ID=AG-313-A04_00678;Name=bepE;gene=bepE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8G2M6;locus_tag=AG-313-A04_00678;product=Efflux pump membrane transporter BepE -AG-313-A04_15 Prodigal:2.6 CDS 5759 6358 . - 0 ID=AG-313-A04_00679;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00679;product=hypothetical protein -AG-313-A04_15 Prodigal:2.6 CDS 6379 6882 . - 0 ID=AG-313-A04_00680;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00680;product=hypothetical protein -AG-313-A04_15 Prodigal:2.6 CDS 6864 7280 . - 0 ID=AG-313-A04_00681;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00681;product=hypothetical protein -AG-313-A04_15 Prodigal:2.6 CDS 7300 8019 . + 0 ID=AG-313-A04_00682;eC_number=5.4.2.11;Name=gpmA;gene=gpmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3JWH7;locus_tag=AG-313-A04_00682;product=2%2C3-bisphosphoglycerate-dependent phosphoglycerate mutase -AG-313-A04_15 Prodigal:2.6 CDS 8009 8707 . - 0 ID=AG-313-A04_00683;eC_number=2.7.7.71;Name=hddC;gene=hddC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AGY6;locus_tag=AG-313-A04_00683;product=D-glycero-alpha-D-manno-heptose 1-phosphate guanylyltransferase -AG-313-A04_15 Prodigal:2.6 CDS 8704 9666 . - 0 ID=AG-313-A04_00684;eC_number=2.7.11.1;Name=srkA;gene=srkA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01497;locus_tag=AG-313-A04_00684;product=Stress response kinase A -AG-313-A04_15 Prodigal:2.6 CDS 9656 10108 . - 0 ID=AG-313-A04_00685;Name=tsaE;gene=tsaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AF67;locus_tag=AG-313-A04_00685;product=tRNA threonylcarbamoyladenosine biosynthesis protein TsaE -AG-313-A04_15 Prodigal:2.6 CDS 10118 11407 . - 0 ID=AG-313-A04_00686;eC_number=3.3.1.1;Name=ahcY;gene=ahcY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3JY79;locus_tag=AG-313-A04_00686;product=Adenosylhomocysteinase -AG-313-A04_15 Prodigal:2.6 CDS 11456 12976 . - 0 ID=AG-313-A04_00687;eC_number=2.7.13.3;Name=baeS;gene=baeS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P30847;locus_tag=AG-313-A04_00687;product=Signal transduction histidine-protein kinase BaeS -AG-313-A04_15 Prodigal:2.6 CDS 12976 13674 . - 0 ID=AG-313-A04_00688;Name=creB;gene=creB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08368;locus_tag=AG-313-A04_00688;product=Transcriptional regulatory protein CreB -AG-313-A04_15 Prodigal:2.6 CDS 13714 14382 . - 0 ID=AG-313-A04_00689;eC_number=2.7.7.7;Name=polA;gene=polA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WNU5;locus_tag=AG-313-A04_00689;product=DNA polymerase I -AG-313-A04_16 Prodigal:2.6 CDS 24 413 . + 0 ID=AG-313-A04_00690;eC_number=2.7.7.9;Name=gtaB;gene=gtaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A3J9;locus_tag=AG-313-A04_00690;product=UTP--glucose-1-phosphate uridylyltransferase -AG-313-A04_16 Prodigal:2.6 CDS 426 1718 . + 0 ID=AG-313-A04_00691;eC_number=1.1.1.22;Name=ywqF;gene=ywqF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P96718;locus_tag=AG-313-A04_00691;product=UDP-glucose 6-dehydrogenase YwqF -AG-313-A04_16 Prodigal:2.6 CDS 1711 2175 . - 0 ID=AG-313-A04_00692;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00692;product=hypothetical protein -AG-313-A04_16 Prodigal:2.6 CDS 2172 4739 . - 0 ID=AG-313-A04_00693;eC_number=5.99.1.2;Name=topA;gene=topA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A5Y5;locus_tag=AG-313-A04_00693;product=DNA topoisomerase 1 -AG-313-A04_16 Prodigal:2.6 CDS 4808 5386 . - 0 ID=AG-313-A04_00694;eC_number=2.3.1.15;Name=plsY;gene=plsY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60782;locus_tag=AG-313-A04_00694;product=putative glycerol-3-phosphate acyltransferase -AG-313-A04_16 Prodigal:2.6 CDS 5386 6675 . - 0 ID=AG-313-A04_00695;eC_number=3.5.2.3;Name=pyrC;gene=pyrC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66990;locus_tag=AG-313-A04_00695;product=Dihydroorotase -AG-313-A04_16 Prodigal:2.6 CDS 6676 7620 . - 0 ID=AG-313-A04_00696;eC_number=2.1.3.2;Name=pyrB;gene=pyrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P56585;locus_tag=AG-313-A04_00696;product=Aspartate carbamoyltransferase -AG-313-A04_16 Prodigal:2.6 CDS 7656 8120 . - 0 ID=AG-313-A04_00697;eC_number=3.1.-.-;Name=yrrK;gene=yrrK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34634;locus_tag=AG-313-A04_00697;product=Putative pre-16S rRNA nuclease -AG-313-A04_16 Prodigal:2.6 CDS 8172 8459 . + 0 ID=AG-313-A04_00698;eC_number=6.3.5.-;Name=gatC;gene=gatC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67904;locus_tag=AG-313-A04_00698;product=Glutamyl-tRNA(Gln) amidotransferase subunit C -AG-313-A04_16 Prodigal:2.6 CDS 8459 9916 . + 0 ID=AG-313-A04_00699;eC_number=6.3.5.7;Name=gatA_2;gene=gatA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVT8;locus_tag=AG-313-A04_00699;product=Glutamyl-tRNA(Gln) amidotransferase subunit A -AG-313-A04_17 Prodigal:2.6 CDS 313 1107 . + 0 ID=AG-313-A04_00700;Name=argJ;gene=argJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q07908;locus_tag=AG-313-A04_00700;product=Arginine biosynthesis bifunctional protein ArgJ -AG-313-A04_17 Prodigal:2.6 CDS 1108 1533 . + 0 ID=AG-313-A04_00701;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00701;product=hypothetical protein -AG-313-A04_17 Prodigal:2.6 CDS 1530 2258 . - 0 ID=AG-313-A04_00702;eC_number=2.1.1.222;Name=ubiG;gene=ubiG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17993;locus_tag=AG-313-A04_00702;product=Ubiquinone biosynthesis O-methyltransferase -AG-313-A04_17 Prodigal:2.6 CDS 2312 3523 . + 0 ID=AG-313-A04_00703;eC_number=2.7.2.4;Name=lysC;gene=lysC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A4VJB4;locus_tag=AG-313-A04_00703;product=Aspartate kinase Ask_LysC -AG-313-A04_17 Prodigal:2.6 CDS 3523 4608 . + 0 ID=AG-313-A04_00704;eC_number=1.17.7.3;Name=ispG;gene=ispG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P62620;locus_tag=AG-313-A04_00704;product=4-hydroxy-3-methylbut-2-en-1-yl diphosphate synthase (flavodoxin) -AG-313-A04_17 Prodigal:2.6 CDS 4617 5693 . + 0 ID=AG-313-A04_00705;Name=prfA;gene=prfA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7I0;locus_tag=AG-313-A04_00705;product=Peptide chain release factor 1 -AG-313-A04_17 Prodigal:2.6 CDS 5690 6532 . + 0 ID=AG-313-A04_00706;eC_number=2.1.1.297;Name=prmC;gene=prmC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACC1;locus_tag=AG-313-A04_00706;product=Release factor glutamine methyltransferase -AG-313-A04_17 Prodigal:2.6 CDS 6533 6874 . + 0 ID=AG-313-A04_00707;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00707;product=hypothetical protein -AG-313-A04_17 Prodigal:2.6 CDS 6915 7487 . - 0 ID=AG-313-A04_00708;eC_number=3.4.24.-;Name=mepM_2;gene=mepM_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFS9;locus_tag=AG-313-A04_00708;product=Murein DD-endopeptidase MepM -AG-313-A04_18 Prodigal:2.6 CDS 170 856 . + 0 ID=AG-313-A04_00709;eC_number=3.6.3.-;Name=lolD;gene=lolD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75957;locus_tag=AG-313-A04_00709;product=Lipoprotein-releasing system ATP-binding protein LolD -AG-313-A04_18 Prodigal:2.6 CDS 846 4262 . + 0 ID=AG-313-A04_00710;eC_number=2.7.7.7;Name=dnaE1;gene=dnaE1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8GWS6;locus_tag=AG-313-A04_00710;product=DNA polymerase III subunit alpha -AG-313-A04_18 Prodigal:2.6 CDS 4383 5126 . + 0 ID=AG-313-A04_00711;Name=rpsB;gene=rpsB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N5Q2;locus_tag=AG-313-A04_00711;product=30S ribosomal protein S2 -AG-313-A04_18 Prodigal:2.6 CDS 5140 6006 . + 0 ID=AG-313-A04_00712;Name=tsf;gene=tsf;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P99171;locus_tag=AG-313-A04_00712;product=Elongation factor Ts -AG-313-A04_18 Prodigal:2.6 CDS 6010 6570 . + 0 ID=AG-313-A04_00713;Name=frr;gene=frr;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q81WL1;locus_tag=AG-313-A04_00713;product=Ribosome-recycling factor -AG-313-A04_18 Prodigal:2.6 CDS 6567 7235 . + 0 ID=AG-313-A04_00714;eC_number=2.5.1.-;Name=uppS;gene=uppS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8DRB3;locus_tag=AG-313-A04_00714;product=Isoprenyl transferase -AG-313-A04_19 Prodigal:2.6 CDS 97 579 . + 0 ID=AG-313-A04_00715;Name=ftsQ;gene=ftsQ;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00911;locus_tag=AG-313-A04_00715;product=Cell division protein FtsQ -AG-313-A04_19 Prodigal:2.6 CDS 586 1782 . + 0 ID=AG-313-A04_00716;Name=ftsA;gene=ftsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABH0;locus_tag=AG-313-A04_00716;product=Cell division protein FtsA -AG-313-A04_19 Prodigal:2.6 CDS 1845 2771 . + 0 ID=AG-313-A04_00717;eC_number=3.5.1.-;Name=lpxC;gene=lpxC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P47205;locus_tag=AG-313-A04_00717;product=UDP-3-O-[3-hydroxymyristoyl] N-acetylglucosamine deacetylase -AG-313-A04_19 Prodigal:2.6 CDS 2833 3666 . + 0 ID=AG-313-A04_00718;Name=bamD;gene=bamD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9K0B1;locus_tag=AG-313-A04_00718;product=Outer membrane protein assembly factor BamD -AG-313-A04_19 Prodigal:2.6 CDS 3659 5692 . + 0 ID=AG-313-A04_00719;eC_number=6.5.1.2;Name=ligA;gene=ligA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15042;locus_tag=AG-313-A04_00719;product=DNA ligase -AG-313-A04_19 Prodigal:2.6 CDS 5681 7399 . - 0 ID=AG-313-A04_00720;eC_number=3.4.13.-;Name=pepE;gene=pepE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WHS7;locus_tag=AG-313-A04_00720;product=putative dipeptidase PepE -AG-313-A04_19 Prodigal:2.6 CDS 7387 7779 . - 0 ID=AG-313-A04_00721;eC_number=3.6.4.12;Name=uvrD;gene=uvrD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q02322;locus_tag=AG-313-A04_00721;product=DNA helicase II -AG-313-A04_20 Prodigal:2.6 CDS 63 1847 . + 0 ID=AG-313-A04_00722;eC_number=6.1.1.12;Name=aspS;gene=aspS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P67015;locus_tag=AG-313-A04_00722;product=Aspartate--tRNA ligase -AG-313-A04_20 Prodigal:2.6 CDS 1848 2663 . - 0 ID=AG-313-A04_00723;eC_number=1.17.4.1;Name=nrdJ;gene=nrdJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O69981;locus_tag=AG-313-A04_00723;product=Vitamin B12-dependent ribonucleotide reductase -AG-313-A04_20 Prodigal:2.6 CDS 2773 3111 . + 0 ID=AG-313-A04_00724;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00724;product=hypothetical protein -AG-313-A04_20 Prodigal:2.6 CDS 3095 3598 . + 0 ID=AG-313-A04_00725;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00725;product=hypothetical protein -AG-313-A04_20 Prodigal:2.6 CDS 3595 4932 . - 0 ID=AG-313-A04_00726;eC_number=6.3.4.14;Name=accC;gene=accC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37798;locus_tag=AG-313-A04_00726;product=Biotin carboxylase -AG-313-A04_20 Prodigal:2.6 CDS 4940 5365 . - 0 ID=AG-313-A04_00727;Name=accB;gene=accB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABD8;locus_tag=AG-313-A04_00727;product=Biotin carboxyl carrier protein of acetyl-CoA carboxylase -AG-313-A04_20 Prodigal:2.6 CDS 5362 5799 . - 0 ID=AG-313-A04_00728;eC_number=4.2.1.10;Name=aroQ;gene=aroQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PJ53;locus_tag=AG-313-A04_00728;product=3-dehydroquinate dehydratase -AG-313-A04_20 Prodigal:2.6 CDS 5829 6032 . + 0 ID=AG-313-A04_00729;Name=thiS;gene=thiS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O31617;locus_tag=AG-313-A04_00729;product=Sulfur carrier protein ThiS -AG-313-A04_20 Prodigal:2.6 CDS 6034 6807 . + 0 ID=AG-313-A04_00730;eC_number=2.8.1.10;Name=thiG;gene=thiG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I6B4;locus_tag=AG-313-A04_00730;product=Thiazole synthase -AG-313-A04_20 Prodigal:2.6 CDS 6799 7398 . - 0 ID=AG-313-A04_00731;eC_number=3.1.26.12;Name=rne;gene=rne;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21513;locus_tag=AG-313-A04_00731;product=Ribonuclease E -AG-313-A04_21 Prodigal:2.6 CDS 803 1471 . - 0 ID=AG-313-A04_00732;eC_number=2.1.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIN3;locus_tag=AG-313-A04_00732;product=Phthiotriol/phenolphthiotriol dimycocerosates methyltransferase -AG-313-A04_21 Prodigal:2.6 CDS 1561 2550 . - 0 ID=AG-313-A04_00733;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00733;product=hypothetical protein -AG-313-A04_21 barrnap:0.6 rRNA 2606 5351 0 - . ID=AG-313-A04_00734;locus_tag=AG-313-A04_00734;product=23S ribosomal RNA -AG-313-A04_21 Aragorn:1.2 tRNA 5536 5611 . - . ID=AG-313-A04_00735;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00735;product=tRNA-Ala(tgc) -AG-313-A04_21 Aragorn:1.2 tRNA 5619 5695 . - . ID=AG-313-A04_00736;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00736;product=tRNA-Ile(gat) -AG-313-A04_21 barrnap:0.6 rRNA 5795 7265 0 - . ID=AG-313-A04_00737;locus_tag=AG-313-A04_00737;product=16S ribosomal RNA -AG-313-A04_22 Prodigal:2.6 CDS 80 505 . + 0 ID=AG-313-A04_00738;eC_number=2.5.1.78;Name=ribH1;gene=ribH1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8YGH2;locus_tag=AG-313-A04_00738;product=6%2C7-dimethyl-8-ribityllumazine synthase 1 -AG-313-A04_22 Prodigal:2.6 CDS 486 887 . + 0 ID=AG-313-A04_00739;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00739;product=hypothetical protein -AG-313-A04_22 Prodigal:2.6 CDS 958 3060 . + 0 ID=AG-313-A04_00740;eC_number=3.6.1.1;Name=hppA;gene=hppA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O68460;locus_tag=AG-313-A04_00740;product=K(+)-insensitive pyrophosphate-energized proton pump -AG-313-A04_22 Prodigal:2.6 CDS 3064 3531 . - 0 ID=AG-313-A04_00741;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00741;product=hypothetical protein -AG-313-A04_22 Prodigal:2.6 CDS 3631 4023 . + 0 ID=AG-313-A04_00742;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00742;product=hypothetical protein -AG-313-A04_22 Prodigal:2.6 CDS 4010 4183 . + 0 ID=AG-313-A04_00743;Name=rpmF;gene=rpmF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NCE6;locus_tag=AG-313-A04_00743;product=50S ribosomal protein L32 -AG-313-A04_22 Prodigal:2.6 CDS 4194 5240 . + 0 ID=AG-313-A04_00744;eC_number=2.3.1.-;Name=plsX;gene=plsX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P27247;locus_tag=AG-313-A04_00744;product=Phosphate acyltransferase -AG-313-A04_22 Prodigal:2.6 CDS 5221 5508 . + 0 ID=AG-313-A04_00745;Name=ihfA;gene=ihfA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6X7;locus_tag=AG-313-A04_00745;product=Integration host factor subunit alpha -AG-313-A04_22 Prodigal:2.6 CDS 5510 5890 . + 0 ID=AG-313-A04_00746;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00746;product=hypothetical protein -AG-313-A04_23 Prodigal:2.6 CDS 63 623 . + 0 ID=AG-313-A04_00747;eC_number=1.5.1.2;Name=proC;gene=proC;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01925;locus_tag=AG-313-A04_00747;product=Pyrroline-5-carboxylate reductase -AG-313-A04_23 Prodigal:2.6 CDS 627 1538 . + 0 ID=AG-313-A04_00748;Name=livH_2;gene=livH_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEX7;locus_tag=AG-313-A04_00748;product=High-affinity branched-chain amino acid transport system permease protein LivH -AG-313-A04_23 Prodigal:2.6 CDS 1538 2806 . + 0 ID=AG-313-A04_00749;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00749;product=hypothetical protein -AG-313-A04_23 Prodigal:2.6 CDS 2803 3594 . + 0 ID=AG-313-A04_00750;eC_number=3.6.3.-;Name=lptB_2;gene=lptB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45073;locus_tag=AG-313-A04_00750;product=Lipopolysaccharide export system ATP-binding protein LptB -AG-313-A04_23 Prodigal:2.6 CDS 3594 4313 . + 0 ID=AG-313-A04_00751;Name=livF_2;gene=livF_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P22731;locus_tag=AG-313-A04_00751;product=High-affinity branched-chain amino acid transport ATP-binding protein LivF -AG-313-A04_24 Prodigal:2.6 CDS 26 1720 . - 0 ID=AG-313-A04_00752;eC_number=3.4.-.-;Name=bepA_2;gene=bepA_2;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00997;locus_tag=AG-313-A04_00752;product=Beta-barrel assembly-enhancing protease -AG-313-A04_24 Prodigal:2.6 CDS 1728 2417 . + 0 ID=AG-313-A04_00753;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00753;product=hypothetical protein -AG-313-A04_24 Prodigal:2.6 CDS 2426 2998 . + 0 ID=AG-313-A04_00754;eC_number=3.1.26.4;Name=rnhB;gene=rnhB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10442;locus_tag=AG-313-A04_00754;product=Ribonuclease HII -AG-313-A04_24 Prodigal:2.6 CDS 3077 4150 . + 0 ID=AG-313-A04_00755;eC_number=2.1.1.72;Name=dpnA;gene=dpnA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09358;locus_tag=AG-313-A04_00755;product=Modification methylase DpnIIB -AG-313-A04_24 Prodigal:2.6 CDS 4147 5280 . - 0 ID=AG-313-A04_00756;eC_number=1.14.13.114;Name=nicC;gene=nicC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q88FY2;locus_tag=AG-313-A04_00756;product=6-hydroxynicotinate 3-monooxygenase -AG-313-A04_25 Prodigal:2.6 CDS 1106 1279 . + 0 ID=AG-313-A04_00757;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00757;product=hypothetical protein -AG-313-A04_25 Prodigal:2.6 CDS 1812 2909 . + 0 ID=AG-313-A04_00758;eC_number=1.14.13.-;Name=ubiH;gene=ubiH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25534;locus_tag=AG-313-A04_00758;product=2-octaprenyl-6-methoxyphenol hydroxylase -AG-313-A04_25 Prodigal:2.6 CDS 2914 4242 . + 0 ID=AG-313-A04_00759;eC_number=3.6.-.-;Name=mnmE;gene=mnmE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25522;locus_tag=AG-313-A04_00759;product=tRNA modification GTPase MnmE -AG-313-A04_25 Prodigal:2.6 CDS 4299 4496 . - 0 ID=AG-313-A04_00760;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00760;product=hypothetical protein -AG-313-A04_26 Prodigal:2.6 CDS 824 1186 . + 0 ID=AG-313-A04_00761;Name=yhaH;gene=yhaH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64590;locus_tag=AG-313-A04_00761;product=Inner membrane protein YhaH -AG-313-A04_26 Prodigal:2.6 CDS 1187 1486 . - 0 ID=AG-313-A04_00762;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00762;product=hypothetical protein -AG-313-A04_26 Aragorn:1.2 tRNA 1560 1634 . - . ID=AG-313-A04_00763;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A04_00763;product=tRNA-Glu(ttc) -AG-313-A04_26 Prodigal:2.6 CDS 3394 4335 . - 0 ID=AG-313-A04_00764;eC_number=3.1.3.11;Name=glpX;gene=glpX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q03224;locus_tag=AG-313-A04_00764;product=Fructose-1%2C6-bisphosphatase class 2 -AG-313-A04_27 Prodigal:2.6 CDS 699 1628 . + 0 ID=AG-313-A04_00765;eC_number=3.6.3.-;Name=drrA;gene=drrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32010;locus_tag=AG-313-A04_00765;product=Daunorubicin/doxorubicin resistance ATP-binding protein DrrA -AG-313-A04_27 Prodigal:2.6 CDS 1660 2211 . + 0 ID=AG-313-A04_00766;Name=bioY2;gene=bioY2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A2RI45;locus_tag=AG-313-A04_00766;product=Biotin transporter BioY2 -AG-313-A04_27 Prodigal:2.6 CDS 2214 2786 . - 0 ID=AG-313-A04_00767;Name=regA;gene=regA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q53228;locus_tag=AG-313-A04_00767;product=Photosynthetic apparatus regulatory protein RegA -AG-313-A04_28 Prodigal:2.6 CDS 1006 1200 . + 0 ID=AG-313-A04_00768;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00768;product=hypothetical protein -AG-313-A04_28 Prodigal:2.6 CDS 1249 1947 . + 0 ID=AG-313-A04_00769;eC_number=2.7.7.82;Name=neuA;gene=neuA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5ZXI0;locus_tag=AG-313-A04_00769;product=CMP-N%2CN'-diacetyllegionaminic acid synthase -AG-313-A04_28 Prodigal:2.6 CDS 1957 3216 . - 0 ID=AG-313-A04_00770;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00770;product=hypothetical protein -AG-313-A04_29 Prodigal:2.6 CDS 95 910 . + 0 ID=AG-313-A04_00771;eC_number=6.3.2.1;Name=panC;gene=panC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5NF57;locus_tag=AG-313-A04_00771;product=Pantothenate synthetase -AG-313-A04_29 Prodigal:2.6 CDS 907 2286 . - 0 ID=AG-313-A04_00772;Name=mgtE;gene=mgtE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q830V1;locus_tag=AG-313-A04_00772;product=Magnesium transporter MgtE -AG-313-A04_30 Prodigal:2.6 CDS 290 418 . + 0 ID=AG-313-A04_00773;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00773;product=hypothetical protein -AG-313-A04_30 Prodigal:2.6 CDS 418 1293 . + 0 ID=AG-313-A04_00774;Name=hflC;gene=hflC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABC3;locus_tag=AG-313-A04_00774;product=Modulator of FtsH protease HflC -AG-313-A04_30 Prodigal:2.6 CDS 1634 1828 . - 0 ID=AG-313-A04_00775;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A04_00775;product=hypothetical protein -AG-313-A07_1 Prodigal:2.6 CDS 1410 2411 . - 0 ID=AG-313-A07_00001;eC_number=5.1.3.2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0R5C5;locus_tag=AG-313-A07_00001;product=UDP-glucose 4-epimerase -AG-313-A07_1 Prodigal:2.6 CDS 2408 3409 . - 0 ID=AG-313-A07_00002;eC_number=5.1.3.2;Name=galE_1;gene=galE_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7WTB1;locus_tag=AG-313-A07_00002;product=UDP-glucose 4-epimerase -AG-313-A07_1 Prodigal:2.6 CDS 3424 3906 . - 0 ID=AG-313-A07_00003;eC_number=3.6.1.-;Name=rppH;gene=rppH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P35640;locus_tag=AG-313-A07_00003;product=RNA pyrophosphohydrolase -AG-313-A07_1 Prodigal:2.6 CDS 3903 5147 . - 0 ID=AG-313-A07_00004;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00004;product=hypothetical protein -AG-313-A07_1 Prodigal:2.6 CDS 5189 6517 . - 0 ID=AG-313-A07_00005;eC_number=3.4.21.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A5M9;locus_tag=AG-313-A07_00005;product=putative CtpA-like serine protease -AG-313-A07_1 Prodigal:2.6 CDS 6537 7766 . - 0 ID=AG-313-A07_00006;Name=nlpD;gene=nlpD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADA3;locus_tag=AG-313-A07_00006;product=Murein hydrolase activator NlpD -AG-313-A07_1 Prodigal:2.6 CDS 7766 9292 . - 0 ID=AG-313-A07_00007;eC_number=5.4.2.12;Name=gpmI;gene=gpmI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X519;locus_tag=AG-313-A07_00007;product=2%2C3-bisphosphoglycerate-independent phosphoglycerate mutase -AG-313-A07_1 Prodigal:2.6 CDS 9316 9774 . - 0 ID=AG-313-A07_00008;eC_number=2.1.1.177;Name=rlmH;gene=rlmH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0C1V0;locus_tag=AG-313-A07_00008;product=Ribosomal RNA large subunit methyltransferase H -AG-313-A07_1 Prodigal:2.6 CDS 9812 10132 . - 0 ID=AG-313-A07_00009;Name=rsfS;gene=rsfS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5NLX3;locus_tag=AG-313-A07_00009;product=Ribosomal silencing factor RsfS -AG-313-A07_1 Prodigal:2.6 CDS 10161 10838 . - 0 ID=AG-313-A07_00010;eC_number=2.7.7.18;Name=nadD;gene=nadD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54455;locus_tag=AG-313-A07_00010;product=Nicotinate-nucleotide adenylyltransferase -AG-313-A07_1 Prodigal:2.6 CDS 10835 12118 . - 0 ID=AG-313-A07_00011;eC_number=1.2.1.41;Name=proA_1;gene=proA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2SZ88;locus_tag=AG-313-A07_00011;product=Gamma-glutamyl phosphate reductase -AG-313-A07_1 Prodigal:2.6 CDS 12129 13274 . - 0 ID=AG-313-A07_00012;eC_number=2.7.2.11;Name=proB;gene=proB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2SZF9;locus_tag=AG-313-A07_00012;product=Glutamate 5-kinase -AG-313-A07_1 Prodigal:2.6 CDS 13259 14308 . - 0 ID=AG-313-A07_00013;eC_number=3.6.5.-;Name=cgtA;gene=cgtA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8GYI7;locus_tag=AG-313-A07_00013;product=GTPase Obg/CgtA -AG-313-A07_1 Prodigal:2.6 CDS 14479 14748 . - 0 ID=AG-313-A07_00014;Name=rpmA;gene=rpmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NDE9;locus_tag=AG-313-A07_00014;product=50S ribosomal protein L27 -AG-313-A07_1 Prodigal:2.6 CDS 14755 15285 . - 0 ID=AG-313-A07_00015;Name=rplU;gene=rplU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NDF0;locus_tag=AG-313-A07_00015;product=50S ribosomal protein L21 -AG-313-A07_1 Aragorn:1.2 tRNA 15496 15585 . + . ID=AG-313-A07_00016;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_00016;product=tRNA-Ser(cga) -AG-313-A07_1 Prodigal:2.6 CDS 15768 17609 . + 0 ID=AG-313-A07_00017;Name=uvrB_1;gene=uvrB_1;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00204;locus_tag=AG-313-A07_00017;product=UvrABC system protein B -AG-313-A07_1 Prodigal:2.6 CDS 17606 19078 . - 0 ID=AG-313-A07_00018;Name=emrB_1;gene=emrB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEJ0;locus_tag=AG-313-A07_00018;product=Multidrug export protein EmrB -AG-313-A07_1 Prodigal:2.6 CDS 19443 20291 . - 0 ID=AG-313-A07_00019;eC_number=2.1.2.11;Name=panB_1;gene=panB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X712;locus_tag=AG-313-A07_00019;product=3-methyl-2-oxobutanoate hydroxymethyltransferase -AG-313-A07_1 Prodigal:2.6 CDS 20706 21737 . - 0 ID=AG-313-A07_00020;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00020;product=hypothetical protein -AG-313-A07_1 Prodigal:2.6 CDS 22036 23235 . + 0 ID=AG-313-A07_00021;eC_number=2.8.3.19;Name=uctC_1;gene=uctC_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9X6P9;locus_tag=AG-313-A07_00021;product=Acetyl-CoA:oxalate CoA-transferase -AG-313-A07_1 Aragorn:1.2 tRNA 23362 23437 . - . ID=AG-313-A07_00022;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_00022;product=tRNA-Phe(gaa) -AG-313-A07_1 Prodigal:2.6 CDS 23616 24833 . + 0 ID=AG-313-A07_00023;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00023;product=hypothetical protein -AG-313-A07_1 Prodigal:2.6 CDS 24860 26749 . + 0 ID=AG-313-A07_00024;eC_number=2.1.1.222;Name=ubiG_1;gene=ubiG_1;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00472;locus_tag=AG-313-A07_00024;product=Ubiquinone biosynthesis O-methyltransferase -AG-313-A07_1 Prodigal:2.6 CDS 27078 27830 . + 0 ID=AG-313-A07_00025;Name=rbbA;gene=rbbA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37624;locus_tag=AG-313-A07_00025;product=Ribosome-associated ATPase -AG-313-A07_1 Prodigal:2.6 CDS 27823 28641 . + 0 ID=AG-313-A07_00026;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00026;product=hypothetical protein -AG-313-A07_1 Prodigal:2.6 CDS 28695 29255 . + 0 ID=AG-313-A07_00027;eC_number=4.3.2.3;Name=allA;gene=allA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00616;locus_tag=AG-313-A07_00027;product=Ureidoglycolate lyase -AG-313-A07_1 Prodigal:2.6 CDS 29549 30889 . + 0 ID=AG-313-A07_00028;Name=siaT_1;gene=siaT_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44543;locus_tag=AG-313-A07_00028;product=Sialic acid TRAP transporter permease protein SiaT -AG-313-A07_1 Prodigal:2.6 CDS 31218 31565 . - 0 ID=AG-313-A07_00029;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00029;product=hypothetical protein -AG-313-A07_1 Prodigal:2.6 CDS 31670 32959 . - 0 ID=AG-313-A07_00030;eC_number=4.6.1.1;Name=cya;gene=cya;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQ35;locus_tag=AG-313-A07_00030;product=Adenylate cyclase -AG-313-A07_1 Prodigal:2.6 CDS 33146 33940 . + 0 ID=AG-313-A07_00031;eC_number=4.2.1.80;Name=mhpD_1;gene=mhpD_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77608;locus_tag=AG-313-A07_00031;product=2-keto-4-pentenoate hydratase -AG-313-A07_1 Prodigal:2.6 CDS 33974 35083 . - 0 ID=AG-313-A07_00032;eC_number=3.1.1.-;Name=ytpA;gene=ytpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34705;locus_tag=AG-313-A07_00032;product=Phospholipase YtpA -AG-313-A07_1 Prodigal:2.6 CDS 35154 36362 . + 0 ID=AG-313-A07_00033;Name=coaBC;gene=coaBC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABQ0;locus_tag=AG-313-A07_00033;product=Coenzyme A biosynthesis bifunctional protein CoaBC -AG-313-A07_1 Prodigal:2.6 CDS 36375 36857 . + 0 ID=AG-313-A07_00034;eC_number=3.6.1.23;Name=dut;gene=dut;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2YRG4;locus_tag=AG-313-A07_00034;product=Deoxyuridine 5'-triphosphate nucleotidohydrolase -AG-313-A07_1 Prodigal:2.6 CDS 36844 37650 . + 0 ID=AG-313-A07_00035;Name=moeZ;gene=moeZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WMN7;locus_tag=AG-313-A07_00035;product=putative adenylyltransferase/sulfurtransferase MoeZ -AG-313-A07_1 Prodigal:2.6 CDS 37666 38190 . + 0 ID=AG-313-A07_00036;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00036;product=hypothetical protein -AG-313-A07_1 Prodigal:2.6 CDS 38222 38854 . - 0 ID=AG-313-A07_00037;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00037;product=hypothetical protein -AG-313-A07_1 Prodigal:2.6 CDS 38844 40181 . - 0 ID=AG-313-A07_00038;Name=glpC;gene=glpC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A996;locus_tag=AG-313-A07_00038;product=Anaerobic glycerol-3-phosphate dehydrogenase subunit C -AG-313-A07_1 Prodigal:2.6 CDS 40333 40752 . - 0 ID=AG-313-A07_00039;Name=rbr;gene=rbr;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AGG3;locus_tag=AG-313-A07_00039;product=Rubrerythrin -AG-313-A07_1 Prodigal:2.6 CDS 40922 41344 . - 0 ID=AG-313-A07_00040;Name=fur_1;gene=fur_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q03456;locus_tag=AG-313-A07_00040;product=Ferric uptake regulation protein -AG-313-A07_1 Prodigal:2.6 CDS 41598 42128 . + 0 ID=AG-313-A07_00041;eC_number=4.2.1.59;Name=fabA;gene=fabA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O33877;locus_tag=AG-313-A07_00041;product=3-hydroxydecanoyl-[acyl-carrier-protein] dehydratase -AG-313-A07_1 Prodigal:2.6 CDS 42128 43348 . + 0 ID=AG-313-A07_00042;eC_number=2.3.1.41;Name=fabB;gene=fabB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q02K94;locus_tag=AG-313-A07_00042;product=3-oxoacyl-[acyl-carrier-protein] synthase 1 -AG-313-A07_1 Prodigal:2.6 CDS 43394 44209 . + 0 ID=AG-313-A07_00043;eC_number=1.3.1.9;Name=fabI_1;gene=fabI_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O24990;locus_tag=AG-313-A07_00043;product=Enoyl-[acyl-carrier-protein] reductase [NADH] FabI -AG-313-A07_1 Prodigal:2.6 CDS 44228 45001 . - 0 ID=AG-313-A07_00044;eC_number=3.1.4.46;Name=ugpQ;gene=ugpQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10908;locus_tag=AG-313-A07_00044;product=Glycerophosphoryl diester phosphodiesterase -AG-313-A07_1 Prodigal:2.6 CDS 45041 47161 . - 0 ID=AG-313-A07_00045;eC_number=2.7.7.8;Name=pnp;gene=pnp;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AC32;locus_tag=AG-313-A07_00045;product=Polyribonucleotide nucleotidyltransferase -AG-313-A07_1 Prodigal:2.6 CDS 47447 47716 . - 0 ID=AG-313-A07_00046;Name=rpsO;gene=rpsO;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21473;locus_tag=AG-313-A07_00046;product=30S ribosomal protein S15 -AG-313-A07_1 Prodigal:2.6 CDS 47733 48659 . - 0 ID=AG-313-A07_00047;eC_number=5.4.99.25;Name=truB;gene=truB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60340;locus_tag=AG-313-A07_00047;product=tRNA pseudouridine synthase B -AG-313-A07_1 Prodigal:2.6 CDS 48649 49083 . - 0 ID=AG-313-A07_00048;Name=rbfA;gene=rbfA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7G2;locus_tag=AG-313-A07_00048;product=Ribosome-binding factor A -AG-313-A07_1 Prodigal:2.6 CDS 49107 51743 . - 0 ID=AG-313-A07_00049;Name=infB;gene=infB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A705;locus_tag=AG-313-A07_00049;product=Translation initiation factor IF-2 -AG-313-A07_1 Prodigal:2.6 CDS 51774 52355 . - 0 ID=AG-313-A07_00050;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00050;product=hypothetical protein -AG-313-A07_1 Prodigal:2.6 CDS 52461 54017 . - 0 ID=AG-313-A07_00051;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFF6;locus_tag=AG-313-A07_00051;note=Transcription termination/antitermination protein NusA;product=hypothetical protein -AG-313-A07_1 Prodigal:2.6 CDS 54039 54554 . - 0 ID=AG-313-A07_00052;Name=rimP;gene=rimP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8A8;locus_tag=AG-313-A07_00052;product=Ribosome maturation factor RimP -AG-313-A07_1 Prodigal:2.6 CDS 54703 55419 . - 0 ID=AG-313-A07_00053;eC_number=2.1.1.33;Name=trmB_1;gene=trmB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8I5;locus_tag=AG-313-A07_00053;product=tRNA (guanine-N(7)-)-methyltransferase -AG-313-A07_1 Prodigal:2.6 CDS 55424 56599 . - 0 ID=AG-313-A07_00054;eC_number=2.5.1.6;Name=metK;gene=metK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A817;locus_tag=AG-313-A07_00054;product=S-adenosylmethionine synthase -AG-313-A07_1 Prodigal:2.6 CDS 56689 58218 . - 0 ID=AG-313-A07_00055;eC_number=2.3.1.-;Name=lnt;gene=lnt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23930;locus_tag=AG-313-A07_00055;product=Apolipoprotein N-acyltransferase -AG-313-A07_1 Prodigal:2.6 CDS 58272 59126 . - 0 ID=AG-313-A07_00056;Name=tlyC;gene=tlyC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O05961;locus_tag=AG-313-A07_00056;product=Hemolysin C -AG-313-A07_1 Prodigal:2.6 CDS 59195 59701 . - 0 ID=AG-313-A07_00057;eC_number=3.1.-.-;Name=ybeY;gene=ybeY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P71335;locus_tag=AG-313-A07_00057;product=Endoribonuclease YbeY -AG-313-A07_1 Prodigal:2.6 CDS 59753 60772 . - 0 ID=AG-313-A07_00058;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIA3;locus_tag=AG-313-A07_00058;product=PhoH-like protein -AG-313-A07_1 Prodigal:2.6 CDS 60769 62214 . - 0 ID=AG-313-A07_00059;eC_number=2.8.4.3;Name=miaB;gene=miaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9RCI2;locus_tag=AG-313-A07_00059;product=tRNA-2-methylthio-N(6)-dimethylallyladenosine synthase -AG-313-A07_1 Prodigal:2.6 CDS 62329 63165 . - 0 ID=AG-313-A07_00060;eC_number=2.3.1.51;Name=plsC_1;gene=plsC_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26647;locus_tag=AG-313-A07_00060;product=1-acyl-sn-glycerol-3-phosphate acyltransferase -AG-313-A07_1 Prodigal:2.6 CDS 63162 64043 . - 0 ID=AG-313-A07_00061;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00061;product=hypothetical protein -AG-313-A07_1 Prodigal:2.6 CDS 64158 64538 . - 0 ID=AG-313-A07_00062;eC_number=2.3.1.57;Name=paiA;gene=paiA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21340;locus_tag=AG-313-A07_00062;product=Spermidine/spermine N(1)-acetyltransferase -AG-313-A07_1 Prodigal:2.6 CDS 64766 65482 . - 0 ID=AG-313-A07_00063;Name=tsaB;gene=tsaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7CQE0;locus_tag=AG-313-A07_00063;product=tRNA threonylcarbamoyladenosine biosynthesis protein TsaB -AG-313-A07_2 Prodigal:2.6 CDS 36 644 . + 0 ID=AG-313-A07_00064;Name=aaeA;gene=aaeA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01544;locus_tag=AG-313-A07_00064;product=p-hydroxybenzoic acid efflux pump subunit AaeA -AG-313-A07_2 Prodigal:2.6 CDS 662 2671 . - 0 ID=AG-313-A07_00065;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00065;product=hypothetical protein -AG-313-A07_2 Prodigal:2.6 CDS 2829 4139 . + 0 ID=AG-313-A07_00066;eC_number=3.5.1.86;Name=mdlY;gene=mdlY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q84DC4;locus_tag=AG-313-A07_00066;product=Mandelamide hydrolase -AG-313-A07_2 Prodigal:2.6 CDS 4260 5075 . + 0 ID=AG-313-A07_00067;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00067;product=hypothetical protein -AG-313-A07_2 Prodigal:2.6 CDS 5146 6447 . - 0 ID=AG-313-A07_00068;Name=siaT_2;gene=siaT_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44543;locus_tag=AG-313-A07_00068;product=Sialic acid TRAP transporter permease protein SiaT -AG-313-A07_2 Prodigal:2.6 CDS 6452 7063 . - 0 ID=AG-313-A07_00069;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00069;product=hypothetical protein -AG-313-A07_2 Prodigal:2.6 CDS 7143 8225 . - 0 ID=AG-313-A07_00070;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00070;product=hypothetical protein -AG-313-A07_2 Prodigal:2.6 CDS 8560 9453 . + 0 ID=AG-313-A07_00071;eC_number=3.-.-.-;Name=ydjP_1;gene=ydjP_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34592;locus_tag=AG-313-A07_00071;product=AB hydrolase superfamily protein YdjP -AG-313-A07_2 Prodigal:2.6 CDS 9458 10216 . + 0 ID=AG-313-A07_00072;eC_number=1.1.1.163;Name=cpnA_1;gene=cpnA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAV9;locus_tag=AG-313-A07_00072;product=Cyclopentanol dehydrogenase -AG-313-A07_2 Prodigal:2.6 CDS 10232 10696 . + 0 ID=AG-313-A07_00073;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00073;product=hypothetical protein -AG-313-A07_2 Prodigal:2.6 CDS 10775 11896 . + 0 ID=AG-313-A07_00074;eC_number=2.8.3.19;Name=uctC_2;gene=uctC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9X6P9;locus_tag=AG-313-A07_00074;product=Acetyl-CoA:oxalate CoA-transferase -AG-313-A07_2 Prodigal:2.6 CDS 11920 13068 . + 0 ID=AG-313-A07_00075;eC_number=1.3.99.-;Name=acdA_1;gene=acdA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45867;locus_tag=AG-313-A07_00075;product=Acyl-CoA dehydrogenase -AG-313-A07_2 Prodigal:2.6 CDS 13047 13556 . - 0 ID=AG-313-A07_00076;eC_number=3.1.-.-;Name=yrrK;gene=yrrK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34634;locus_tag=AG-313-A07_00076;product=Putative pre-16S rRNA nuclease -AG-313-A07_2 Prodigal:2.6 CDS 13703 13990 . + 0 ID=AG-313-A07_00077;eC_number=6.3.5.-;Name=gatC;gene=gatC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVT9;locus_tag=AG-313-A07_00077;product=Glutamyl-tRNA(Gln) amidotransferase subunit C -AG-313-A07_2 Prodigal:2.6 CDS 13990 15465 . + 0 ID=AG-313-A07_00078;eC_number=6.3.5.7;Name=gatA_1;gene=gatA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVT8;locus_tag=AG-313-A07_00078;product=Glutamyl-tRNA(Gln) amidotransferase subunit A -AG-313-A07_2 Prodigal:2.6 CDS 15467 16915 . + 0 ID=AG-313-A07_00079;eC_number=6.3.5.-;Name=gatB;gene=gatB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVT7;locus_tag=AG-313-A07_00079;product=Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B -AG-313-A07_2 Prodigal:2.6 CDS 16959 17432 . + 0 ID=AG-313-A07_00080;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00080;product=hypothetical protein -AG-313-A07_2 Prodigal:2.6 CDS 17564 18826 . + 0 ID=AG-313-A07_00081;Name=magA;gene=magA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2W031;locus_tag=AG-313-A07_00081;product=Iron transporter MagA -AG-313-A07_2 Prodigal:2.6 CDS 18907 19290 . + 0 ID=AG-313-A07_00082;eC_number=3.5.99.5;Name=amnD;gene=amnD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KWS2;locus_tag=AG-313-A07_00082;product=2-aminomuconate deaminase -AG-313-A07_2 Prodigal:2.6 CDS 19314 19697 . + 0 ID=AG-313-A07_00083;eC_number=3.5.4.-;Name=tdcF;gene=tdcF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGL2;locus_tag=AG-313-A07_00083;product=Putative reactive intermediate deaminase TdcF -AG-313-A07_2 Prodigal:2.6 CDS 19714 20619 . - 0 ID=AG-313-A07_00084;Name=dmlR;gene=dmlR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76250;locus_tag=AG-313-A07_00084;product=HTH-type transcriptional regulator DmlR -AG-313-A07_2 Prodigal:2.6 CDS 20759 21901 . + 0 ID=AG-313-A07_00085;eC_number=2.5.1.48;Name=metB;gene=metB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WGB7;locus_tag=AG-313-A07_00085;product=Cystathionine gamma-synthase -AG-313-A07_2 Prodigal:2.6 CDS 21954 22439 . + 0 ID=AG-313-A07_00086;eC_number=3.5.1.42;Name=pncC;gene=pncC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8EK32;locus_tag=AG-313-A07_00086;product=Nicotinamide-nucleotide amidohydrolase PncC -AG-313-A07_2 Prodigal:2.6 CDS 22453 24054 . - 0 ID=AG-313-A07_00087;eC_number=1.1.99.1;Name=betA_1;gene=betA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17444;locus_tag=AG-313-A07_00087;product=Oxygen-dependent choline dehydrogenase -AG-313-A07_2 Prodigal:2.6 CDS 24349 25755 . + 0 ID=AG-313-A07_00088;eC_number=1.6.1.1;Name=sthA;gene=sthA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WHH5;locus_tag=AG-313-A07_00088;product=putative soluble pyridine nucleotide transhydrogenase -AG-313-A07_2 Prodigal:2.6 CDS 25817 27643 . + 0 ID=AG-313-A07_00089;eC_number=3.6.4.12;Name=recQ;gene=recQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15043;locus_tag=AG-313-A07_00089;product=ATP-dependent DNA helicase RecQ -AG-313-A07_2 Prodigal:2.6 CDS 27683 28432 . + 0 ID=AG-313-A07_00090;eC_number=1.3.1.34;Name=fadH;gene=fadH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34717;locus_tag=AG-313-A07_00090;product=putative 2%2C4-dienoyl-CoA reductase -AG-313-A07_2 Prodigal:2.6 CDS 28484 29773 . - 0 ID=AG-313-A07_00091;eC_number=5.4.3.8;Name=hemL;gene=hemL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P24630;locus_tag=AG-313-A07_00091;product=Glutamate-1-semialdehyde 2%2C1-aminomutase -AG-313-A07_2 Prodigal:2.6 CDS 30028 30831 . + 0 ID=AG-313-A07_00092;eC_number=4.2.1.17;Name=echA8_1;gene=echA8_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WNN9;locus_tag=AG-313-A07_00092;product=putative enoyl-CoA hydratase echA8 -AG-313-A07_2 Prodigal:2.6 CDS 30904 31782 . + 0 ID=AG-313-A07_00093;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53565;locus_tag=AG-313-A07_00093;product=Putative coenzyme F420-dependent oxidoreductase -AG-313-A07_2 Prodigal:2.6 CDS 31775 33079 . + 0 ID=AG-313-A07_00094;Name=yhjX_1;gene=yhjX_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37662;locus_tag=AG-313-A07_00094;product=putative MFS-type transporter YhjX -AG-313-A07_2 Prodigal:2.6 CDS 33153 33929 . - 0 ID=AG-313-A07_00095;eC_number=1.1.1.127;Name=kduD_1;gene=kduD_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P50842;locus_tag=AG-313-A07_00095;product=2-dehydro-3-deoxy-D-gluconate 5-dehydrogenase -AG-313-A07_2 Prodigal:2.6 CDS 34004 35308 . - 0 ID=AG-313-A07_00096;eC_number=1.1.1.308;Name=hpsN;gene=hpsN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q46N53;locus_tag=AG-313-A07_00096;product=Sulfopropanediol 3-dehydrogenase -AG-313-A07_2 Prodigal:2.6 CDS 35449 35679 . - 0 ID=AG-313-A07_00097;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00097;product=hypothetical protein -AG-313-A07_2 Prodigal:2.6 CDS 35941 36642 . + 0 ID=AG-313-A07_00098;Name=crp;gene=crp;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A2T6;locus_tag=AG-313-A07_00098;product=cAMP-activated global transcriptional regulator CRP -AG-313-A07_2 Prodigal:2.6 CDS 36709 37680 . + 0 ID=AG-313-A07_00099;eC_number=1.1.1.81;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X1C1;locus_tag=AG-313-A07_00099;product=Hydroxypyruvate reductase -AG-313-A07_2 Prodigal:2.6 CDS 37747 38517 . + 0 ID=AG-313-A07_00100;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00100;product=hypothetical protein -AG-313-A07_2 Prodigal:2.6 CDS 38704 39567 . + 0 ID=AG-313-A07_00101;eC_number=3.5.1.-;Name=pgdA_1;gene=pgdA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B5ZA76;locus_tag=AG-313-A07_00101;product=Peptidoglycan deacetylase -AG-313-A07_2 Prodigal:2.6 CDS 39667 41028 . + 0 ID=AG-313-A07_00102;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00102;product=hypothetical protein -AG-313-A07_2 Prodigal:2.6 CDS 41036 42415 . + 0 ID=AG-313-A07_00103;eC_number=6.2.1.30;Name=paaK;gene=paaK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9L9C1;locus_tag=AG-313-A07_00103;product=Phenylacetate-coenzyme A ligase -AG-313-A07_2 Prodigal:2.6 CDS 42476 43249 . - 0 ID=AG-313-A07_00104;eC_number=4.1.-.-;Name=novR_1;gene=novR_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9L9F0;locus_tag=AG-313-A07_00104;product=Decarboxylase NovR -AG-313-A07_2 Prodigal:2.6 CDS 43292 44884 . - 0 ID=AG-313-A07_00105;eC_number=1.1.99.-;Name=alkJ_1;gene=alkJ_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q00593;locus_tag=AG-313-A07_00105;product=Alcohol dehydrogenase [acceptor] -AG-313-A07_2 Prodigal:2.6 CDS 45038 45838 . + 0 ID=AG-313-A07_00106;eC_number=1.1.1.163;Name=cpnA_2;gene=cpnA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAV9;locus_tag=AG-313-A07_00106;product=Cyclopentanol dehydrogenase -AG-313-A07_2 Prodigal:2.6 CDS 45887 47032 . + 0 ID=AG-313-A07_00107;eC_number=1.1.99.31;Name=mdlB;gene=mdlB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P20932;locus_tag=AG-313-A07_00107;product=(S)-mandelate dehydrogenase -AG-313-A07_2 Prodigal:2.6 CDS 47486 47899 . + 0 ID=AG-313-A07_00108;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00108;product=hypothetical protein -AG-313-A07_2 Prodigal:2.6 CDS 47981 49390 . + 0 ID=AG-313-A07_00109;eC_number=2.8.3.22;Name=smtB_1;gene=smtB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1KLK0;locus_tag=AG-313-A07_00109;product=Succinyl-CoA--L-malate CoA-transferase beta subunit -AG-313-A07_2 Prodigal:2.6 CDS 49417 50148 . - 0 ID=AG-313-A07_00110;eC_number=2.3.2.8;Name=ate;gene=ate;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00689;locus_tag=AG-313-A07_00110;product=Putative arginyl-tRNA--protein transferase -AG-313-A07_2 Prodigal:2.6 CDS 50267 51328 . - 0 ID=AG-313-A07_00111;Name=motB_1;gene=motB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AF06;locus_tag=AG-313-A07_00111;product=Motility protein B -AG-313-A07_2 Prodigal:2.6 CDS 51429 52289 . - 0 ID=AG-313-A07_00112;Name=motA;gene=motA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09348;locus_tag=AG-313-A07_00112;product=Motility protein A -AG-313-A07_2 Prodigal:2.6 CDS 52541 53038 . + 0 ID=AG-313-A07_00113;eC_number=1.5.1.36;Name=hsaB;gene=hsaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0S808;locus_tag=AG-313-A07_00113;product=Flavin-dependent monooxygenase%2C reductase subunit HsaB -AG-313-A07_2 Prodigal:2.6 CDS 53075 54286 . - 0 ID=AG-313-A07_00114;eC_number=2.8.3.19;Name=yfdE_1;gene=yfdE_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76518;locus_tag=AG-313-A07_00114;product=Acetyl-CoA:oxalate CoA-transferase -AG-313-A07_2 Prodigal:2.6 CDS 54702 56540 . + 0 ID=AG-313-A07_00115;eC_number=1.-.-.-;Name=sfrB;gene=sfrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q74FU5;locus_tag=AG-313-A07_00115;product=NADPH-Fe(3+) oxidoreductase subunit beta -AG-313-A07_2 Prodigal:2.6 CDS 56537 58363 . + 0 ID=AG-313-A07_00116;eC_number=1.2.7.3;Name=korA;gene=korA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53182;locus_tag=AG-313-A07_00116;product=2-oxoglutarate oxidoreductase subunit KorA -AG-313-A07_2 Prodigal:2.6 CDS 58393 59448 . + 0 ID=AG-313-A07_00117;eC_number=1.2.7.3;Name=korB;gene=korB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53181;locus_tag=AG-313-A07_00117;product=2-oxoglutarate oxidoreductase subunit KorB -AG-313-A07_2 Prodigal:2.6 CDS 59463 60236 . - 0 ID=AG-313-A07_00118;Name=pcaR;gene=pcaR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q52154;locus_tag=AG-313-A07_00118;product=Pca regulon regulatory protein -AG-313-A07_2 Prodigal:2.6 CDS 60399 61313 . + 0 ID=AG-313-A07_00119;eC_number=3.1.1.10;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07383;locus_tag=AG-313-A07_00119;product=Tropinesterase -AG-313-A07_2 Prodigal:2.6 CDS 61462 62307 . + 0 ID=AG-313-A07_00120;eC_number=3.5.1.-;Name=rutD;gene=rutD;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00832;locus_tag=AG-313-A07_00120;product=Putative aminoacrylate hydrolase RutD -AG-313-A07_2 Prodigal:2.6 CDS 62410 63762 . - 0 ID=AG-313-A07_00121;Name=flgE;gene=flgE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8YDL6;locus_tag=AG-313-A07_00121;product=Flagellar hook protein FlgE -AG-313-A07_2 Prodigal:2.6 CDS 63874 64533 . - 0 ID=AG-313-A07_00122;Name=flgD;gene=flgD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A1I9;locus_tag=AG-313-A07_00122;product=Basal-body rod modification protein FlgD -AG-313-A07_3 Prodigal:2.6 CDS 125 742 . + 0 ID=AG-313-A07_00123;eC_number=3.-.-.-;Name=yecD;gene=yecD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADI7;locus_tag=AG-313-A07_00123;product=Isochorismatase family protein YecD -AG-313-A07_3 Prodigal:2.6 CDS 739 2139 . + 0 ID=AG-313-A07_00124;eC_number=1.3.5.4;Name=ifcA_1;gene=ifcA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9Z4P0;locus_tag=AG-313-A07_00124;product=Fumarate reductase flavoprotein subunit -AG-313-A07_3 Prodigal:2.6 CDS 2201 2599 . - 0 ID=AG-313-A07_00125;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00125;product=hypothetical protein -AG-313-A07_3 Prodigal:2.6 CDS 2604 3875 . - 0 ID=AG-313-A07_00126;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00126;product=hypothetical protein -AG-313-A07_3 Prodigal:2.6 CDS 3911 5092 . - 0 ID=AG-313-A07_00127;eC_number=3.1.1.31;Name=pgl;gene=pgl;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34499;locus_tag=AG-313-A07_00127;product=6-phosphogluconolactonase -AG-313-A07_3 Prodigal:2.6 CDS 5539 6915 . + 0 ID=AG-313-A07_00128;eC_number=5.4.3.8;Name=hemL1;gene=hemL1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P99096;locus_tag=AG-313-A07_00128;product=Glutamate-1-semialdehyde 2%2C1-aminomutase 1 -AG-313-A07_3 Prodigal:2.6 CDS 6925 7644 . - 0 ID=AG-313-A07_00129;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00129;product=hypothetical protein -AG-313-A07_3 Prodigal:2.6 CDS 7654 8109 . - 0 ID=AG-313-A07_00130;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00130;product=hypothetical protein -AG-313-A07_3 Prodigal:2.6 CDS 8169 10940 . - 0 ID=AG-313-A07_00131;eC_number=1.1.99.33;Name=fdhF;gene=fdhF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07658;locus_tag=AG-313-A07_00131;product=Formate dehydrogenase H -AG-313-A07_3 Prodigal:2.6 CDS 11029 12777 . - 0 ID=AG-313-A07_00132;eC_number=1.6.5.11;Name=nqo1;gene=nqo1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q56222;locus_tag=AG-313-A07_00132;product=NADH-quinone oxidoreductase subunit 1 -AG-313-A07_3 Prodigal:2.6 CDS 13093 14514 . + 0 ID=AG-313-A07_00133;eC_number=3.6.3.14;Name=fliI;gene=fliI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26465;locus_tag=AG-313-A07_00133;product=Flagellum-specific ATP synthase -AG-313-A07_3 Prodigal:2.6 CDS 14521 14937 . + 0 ID=AG-313-A07_00134;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00134;product=hypothetical protein -AG-313-A07_3 Prodigal:2.6 CDS 14998 16224 . - 0 ID=AG-313-A07_00135;Name=fsr;gene=fsr;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P52067;locus_tag=AG-313-A07_00135;product=Fosmidomycin resistance protein -AG-313-A07_3 Prodigal:2.6 CDS 16354 17115 . + 0 ID=AG-313-A07_00136;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00136;product=hypothetical protein -AG-313-A07_3 Prodigal:2.6 CDS 17112 18284 . + 0 ID=AG-313-A07_00137;eC_number=3.4.13.-;Name=pepE_1;gene=pepE_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WHS7;locus_tag=AG-313-A07_00137;product=putative dipeptidase PepE -AG-313-A07_3 Prodigal:2.6 CDS 18362 20395 . + 0 ID=AG-313-A07_00138;eC_number=6.4.1.8;Name=apc3_1;gene=apc3_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5P5G4;locus_tag=AG-313-A07_00138;product=Acetophenone carboxylase gamma subunit -AG-313-A07_3 Prodigal:2.6 CDS 20397 22031 . + 0 ID=AG-313-A07_00139;eC_number=6.4.1.8;Name=apc4_1;gene=apc4_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5P5G5;locus_tag=AG-313-A07_00139;product=Acetophenone carboxylase delta subunit -AG-313-A07_3 Prodigal:2.6 CDS 22060 22677 . - 0 ID=AG-313-A07_00140;eC_number=1.5.3.1;Name=soxG_1;gene=soxG_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AGP0;locus_tag=AG-313-A07_00140;product=Sarcosine oxidase subunit gamma -AG-313-A07_3 Prodigal:2.6 CDS 22670 25690 . - 0 ID=AG-313-A07_00141;eC_number=1.5.3.1;Name=soxA_1;gene=soxA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q46337;locus_tag=AG-313-A07_00141;product=Sarcosine oxidase subunit alpha -AG-313-A07_3 Prodigal:2.6 CDS 25690 25980 . - 0 ID=AG-313-A07_00142;eC_number=1.5.3.1;Name=soxD;gene=soxD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q46336;locus_tag=AG-313-A07_00142;product=Sarcosine oxidase subunit delta -AG-313-A07_3 Prodigal:2.6 CDS 25993 27249 . - 0 ID=AG-313-A07_00143;eC_number=1.5.3.1;Name=soxB;gene=soxB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40875;locus_tag=AG-313-A07_00143;product=Sarcosine oxidase subunit beta -AG-313-A07_3 Prodigal:2.6 CDS 27492 28946 . + 0 ID=AG-313-A07_00144;eC_number=3.4.24.-;Name=mepM;gene=mepM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFS9;locus_tag=AG-313-A07_00144;product=Murein DD-endopeptidase MepM -AG-313-A07_3 Prodigal:2.6 CDS 28936 29349 . + 0 ID=AG-313-A07_00145;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00145;product=hypothetical protein -AG-313-A07_3 Prodigal:2.6 CDS 29367 31586 . - 0 ID=AG-313-A07_00146;eC_number=5.99.1.3;Name=parC;gene=parC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFI2;locus_tag=AG-313-A07_00146;product=DNA topoisomerase 4 subunit A -AG-313-A07_3 Prodigal:2.6 CDS 31799 32674 . - 0 ID=AG-313-A07_00147;eC_number=1.14.11.44;Name=rdpA_1;gene=rdpA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8KSC8;locus_tag=AG-313-A07_00147;product=(R)-phenoxypropionate/alpha-ketoglutarate-dioxygenase -AG-313-A07_3 Prodigal:2.6 CDS 33006 34247 . + 0 ID=AG-313-A07_00148;Name=entS;gene=entS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P24077;locus_tag=AG-313-A07_00148;product=Enterobactin exporter EntS -AG-313-A07_3 Prodigal:2.6 CDS 34272 35732 . - 0 ID=AG-313-A07_00149;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00149;product=hypothetical protein -AG-313-A07_3 Prodigal:2.6 CDS 35849 37021 . + 0 ID=AG-313-A07_00150;eC_number=1.3.99.-;Name=acdA_2;gene=acdA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45867;locus_tag=AG-313-A07_00150;product=Acyl-CoA dehydrogenase -AG-313-A07_3 Prodigal:2.6 CDS 37050 37700 . + 0 ID=AG-313-A07_00151;eC_number=3.2.2.20;Name=tag;gene=tag;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05100;locus_tag=AG-313-A07_00151;product=DNA-3-methyladenine glycosylase 1 -AG-313-A07_3 Prodigal:2.6 CDS 37740 38414 . + 0 ID=AG-313-A07_00152;Name=csgA;gene=csgA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21158;locus_tag=AG-313-A07_00152;product=C-factor -AG-313-A07_3 Prodigal:2.6 CDS 38494 40101 . + 0 ID=AG-313-A07_00153;eC_number=2.1.3.1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GBW6;locus_tag=AG-313-A07_00153;product=Methylmalonyl-CoA carboxyltransferase 12S subunit -AG-313-A07_3 Prodigal:2.6 CDS 40160 41401 . + 0 ID=AG-313-A07_00154;Name=yhjX_2;gene=yhjX_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37662;locus_tag=AG-313-A07_00154;product=putative MFS-type transporter YhjX -AG-313-A07_3 Prodigal:2.6 CDS 41498 42952 . + 0 ID=AG-313-A07_00155;eC_number=3.5.1.13;Name=aam_1;gene=aam_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:K9NBS6;locus_tag=AG-313-A07_00155;product=Acylamidase -AG-313-A07_3 Prodigal:2.6 CDS 42952 44133 . + 0 ID=AG-313-A07_00156;eC_number=5.5.1.-;Name=gci_1;gene=gci_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9CEQ8;locus_tag=AG-313-A07_00156;product=D-galactarolactone cycloisomerase -AG-313-A07_3 Prodigal:2.6 CDS 44167 45231 . + 0 ID=AG-313-A07_00157;eC_number=1.1.1.81;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X1C1;locus_tag=AG-313-A07_00157;product=Hydroxypyruvate reductase -AG-313-A07_3 Prodigal:2.6 CDS 45574 46386 . + 0 ID=AG-313-A07_00158;eC_number=1.1.1.25;Name=aroE;gene=aroE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8Y9N5;locus_tag=AG-313-A07_00158;product=Shikimate dehydrogenase (NADP(+)) -AG-313-A07_3 Prodigal:2.6 CDS 46503 47381 . + 0 ID=AG-313-A07_00159;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00159;product=hypothetical protein -AG-313-A07_3 Prodigal:2.6 CDS 47427 47633 . + 0 ID=AG-313-A07_00160;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00160;product=hypothetical protein -AG-313-A07_3 Prodigal:2.6 CDS 47735 49126 . + 0 ID=AG-313-A07_00161;eC_number=4.2.1.79;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:H8F0D6;locus_tag=AG-313-A07_00161;product=2-methylcitrate dehydratase -AG-313-A07_3 Prodigal:2.6 CDS 49274 50041 . + 0 ID=AG-313-A07_00162;Name=kdgR;gene=kdgR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37728;locus_tag=AG-313-A07_00162;product=Pectin degradation repressor protein KdgR -AG-313-A07_3 Prodigal:2.6 CDS 50053 50769 . - 0 ID=AG-313-A07_00163;Name=mkl;gene=mkl;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQL5;locus_tag=AG-313-A07_00163;product=putative ribonucleotide transport ATP-binding protein mkl -AG-313-A07_3 Prodigal:2.6 CDS 50892 51737 . + 0 ID=AG-313-A07_00164;eC_number=3.1.1.10;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07383;locus_tag=AG-313-A07_00164;product=Tropinesterase -AG-313-A07_3 Prodigal:2.6 CDS 51779 53422 . - 0 ID=AG-313-A07_00165;eC_number=2.2.1.6;Name=ilvB_1;gene=ilvB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08142;locus_tag=AG-313-A07_00165;product=Acetolactate synthase isozyme 1 large subunit -AG-313-A07_4 Prodigal:2.6 CDS 26 451 . + 0 ID=AG-313-A07_00166;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00166;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 621 2000 . + 0 ID=AG-313-A07_00167;Name=pipB2;gene=pipB2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZMM8;locus_tag=AG-313-A07_00167;product=Secreted effector protein PipB2 -AG-313-A07_4 Prodigal:2.6 CDS 2019 3140 . - 0 ID=AG-313-A07_00168;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00168;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 3289 4083 . - 0 ID=AG-313-A07_00169;eC_number=3.4.11.18;Name=map;gene=map;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9ZCD3;locus_tag=AG-313-A07_00169;product=Methionine aminopeptidase -AG-313-A07_4 Prodigal:2.6 CDS 4272 5927 . - 0 ID=AG-313-A07_00170;eC_number=6.2.1.1;Name=acsA_1;gene=acsA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39062;locus_tag=AG-313-A07_00170;product=Acetyl-coenzyme A synthetase -AG-313-A07_4 Prodigal:2.6 CDS 6179 7150 . + 0 ID=AG-313-A07_00171;eC_number=1.1.1.81;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X1C1;locus_tag=AG-313-A07_00171;product=Hydroxypyruvate reductase -AG-313-A07_4 Prodigal:2.6 CDS 7435 8922 . + 0 ID=AG-313-A07_00172;eC_number=1.1.1.86;Name=ilvC;gene=ilvC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:C1DFH7;locus_tag=AG-313-A07_00172;product=Ketol-acid reductoisomerase -AG-313-A07_4 Prodigal:2.6 CDS 8978 9640 . - 0 ID=AG-313-A07_00173;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00173;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 9896 11008 . + 0 ID=AG-313-A07_00174;eC_number=2.8.1.7;Name=nifS;gene=nifS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05341;locus_tag=AG-313-A07_00174;product=Cysteine desulfurase NifS -AG-313-A07_4 Prodigal:2.6 CDS 11033 11347 . + 0 ID=AG-313-A07_00175;Name=fdxE;gene=fdxE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80306;locus_tag=AG-313-A07_00175;product=Ferredoxin-6 -AG-313-A07_4 Prodigal:2.6 CDS 11460 12650 . + 0 ID=AG-313-A07_00176;eC_number=2.8.1.-;Name=mnmA;gene=mnmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WJS5;locus_tag=AG-313-A07_00176;product=tRNA-specific 2-thiouridylase MnmA -AG-313-A07_4 Aragorn:1.2 tRNA 12737 12813 . + . ID=AG-313-A07_00177;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_00177;product=tRNA-Met(cat) -AG-313-A07_4 Prodigal:2.6 CDS 12939 13535 . + 0 ID=AG-313-A07_00178;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00178;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 13750 14727 . + 0 ID=AG-313-A07_00179;eC_number=1.14.11.35;Name=ptlH;gene=ptlH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q82IZ1;locus_tag=AG-313-A07_00179;product=1-deoxypentalenic acid 11-beta-hydroxylase -AG-313-A07_4 Prodigal:2.6 CDS 14767 15621 . + 0 ID=AG-313-A07_00180;eC_number=2.4.1.305;Name=wfgD;gene=wfgD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B5L3F2;locus_tag=AG-313-A07_00180;product=UDP-Glc:alpha-D-GlcNAc-diphosphoundecaprenol beta-1%2C3-glucosyltransferase WfgD -AG-313-A07_4 Prodigal:2.6 CDS 15626 16489 . + 0 ID=AG-313-A07_00181;eC_number=3.2.2.26;Name=mqnB;gene=mqnB;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00991;locus_tag=AG-313-A07_00181;product=Futalosine hydrolase -AG-313-A07_4 Prodigal:2.6 CDS 16494 17492 . + 0 ID=AG-313-A07_00182;eC_number=4.1.99.14;Name=splB;gene=splB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37956;locus_tag=AG-313-A07_00182;product=Spore photoproduct lyase -AG-313-A07_4 Prodigal:2.6 CDS 17505 18218 . + 0 ID=AG-313-A07_00183;eC_number=1.1.1.100;Name=fabG_1;gene=fabG_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEK2;locus_tag=AG-313-A07_00183;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A07_4 Prodigal:2.6 CDS 18295 19056 . - 0 ID=AG-313-A07_00184;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00184;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 19251 19664 . - 0 ID=AG-313-A07_00185;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00185;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 19655 20911 . - 0 ID=AG-313-A07_00186;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00186;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 20957 21604 . - 0 ID=AG-313-A07_00187;eC_number=4.2.1.1;Name=cynT;gene=cynT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABE9;locus_tag=AG-313-A07_00187;product=Carbonic anhydrase 1 -AG-313-A07_4 Prodigal:2.6 CDS 21803 22834 . + 0 ID=AG-313-A07_00188;eC_number=4.2.1.77;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0NXQ9;locus_tag=AG-313-A07_00188;product=Trans-3-hydroxy-L-proline dehydratase -AG-313-A07_4 Prodigal:2.6 CDS 22837 24279 . - 0 ID=AG-313-A07_00189;eC_number=4.1.99.3;Name=phrA;gene=phrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9CJC9;locus_tag=AG-313-A07_00189;product=Deoxyribodipyrimidine photo-lyase -AG-313-A07_4 Prodigal:2.6 CDS 24361 25386 . - 0 ID=AG-313-A07_00190;eC_number=4.1.2.49;Name=ltaA_1;gene=ltaA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O07051;locus_tag=AG-313-A07_00190;product=L-allo-threonine aldolase -AG-313-A07_4 Prodigal:2.6 CDS 25502 26149 . + 0 ID=AG-313-A07_00191;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00191;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 26180 26464 . - 0 ID=AG-313-A07_00192;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00192;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 26787 27977 . + 0 ID=AG-313-A07_00193;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00193;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 28074 29468 . + 0 ID=AG-313-A07_00194;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIT1;locus_tag=AG-313-A07_00194;product=putative FAD-linked oxidoreductase -AG-313-A07_4 Prodigal:2.6 CDS 29690 30613 . - 0 ID=AG-313-A07_00195;Name=yitJ;gene=yitJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O06745;locus_tag=AG-313-A07_00195;product=Bifunctional homocysteine S-methyltransferase/5%2C10-methylenetetrahydrofolate reductase -AG-313-A07_4 Prodigal:2.6 CDS 30845 31252 . + 0 ID=AG-313-A07_00196;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00196;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 31280 31570 . - 0 ID=AG-313-A07_00197;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00197;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 31589 32746 . - 0 ID=AG-313-A07_00198;eC_number=2.8.3.19;Name=yfdE_2;gene=yfdE_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76518;locus_tag=AG-313-A07_00198;product=Acetyl-CoA:oxalate CoA-transferase -AG-313-A07_4 Prodigal:2.6 CDS 32854 33072 . - 0 ID=AG-313-A07_00199;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00199;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 33131 34183 . - 0 ID=AG-313-A07_00200;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00200;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 34312 36084 . + 0 ID=AG-313-A07_00201;eC_number=1.14.13.84;Name=hapE;gene=hapE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93TJ5;locus_tag=AG-313-A07_00201;product=4-hydroxyacetophenone monooxygenase -AG-313-A07_4 Prodigal:2.6 CDS 36132 36356 . + 0 ID=AG-313-A07_00202;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00202;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 36417 37187 . + 0 ID=AG-313-A07_00203;eC_number=1.1.1.163;Name=cpnA_3;gene=cpnA_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAV9;locus_tag=AG-313-A07_00203;product=Cyclopentanol dehydrogenase -AG-313-A07_4 Prodigal:2.6 CDS 37225 37926 . + 0 ID=AG-313-A07_00204;eC_number=5.3.1.6;Name=rpiA;gene=rpiA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6G3V6;locus_tag=AG-313-A07_00204;product=Ribose-5-phosphate isomerase A -AG-313-A07_4 Prodigal:2.6 CDS 38010 38180 . + 0 ID=AG-313-A07_00205;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00205;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 38293 39117 . + 0 ID=AG-313-A07_00206;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00206;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 39527 40573 . + 0 ID=AG-313-A07_00207;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53565;locus_tag=AG-313-A07_00207;product=Putative coenzyme F420-dependent oxidoreductase -AG-313-A07_4 Prodigal:2.6 CDS 40700 41425 . + 0 ID=AG-313-A07_00208;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00208;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 41562 42128 . + 0 ID=AG-313-A07_00209;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00209;product=hypothetical protein -AG-313-A07_4 Prodigal:2.6 CDS 42247 43428 . - 0 ID=AG-313-A07_00210;eC_number=1.14.13.2;Name=pobA;gene=pobA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P20586;locus_tag=AG-313-A07_00210;product=p-hydroxybenzoate hydroxylase -AG-313-A07_4 Prodigal:2.6 CDS 43642 45153 . + 0 ID=AG-313-A07_00211;eC_number=6.2.1.3;Name=lcfB_1;gene=lcfB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O07610;locus_tag=AG-313-A07_00211;product=Long-chain-fatty-acid--CoA ligase -AG-313-A07_4 Prodigal:2.6 CDS 45228 46235 . + 0 ID=AG-313-A07_00212;eC_number=1.3.1.86;Name=ccrA2;gene=ccrA2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q82LU9;locus_tag=AG-313-A07_00212;product=Crotonyl-CoA reductase -AG-313-A07_4 Prodigal:2.6 CDS 46261 46680 . + 0 ID=AG-313-A07_00213;eC_number=3.1.2.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45083;locus_tag=AG-313-A07_00213;product=Putative esterase -AG-313-A07_5 Prodigal:2.6 CDS 38 1405 . + 0 ID=AG-313-A07_00214;Name=secA;gene=secA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01382;locus_tag=AG-313-A07_00214;product=Protein translocase subunit SecA -AG-313-A07_5 Prodigal:2.6 CDS 1582 2718 . + 0 ID=AG-313-A07_00215;eC_number=1.13.11.5;Name=hmgA;gene=hmgA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X4F5;locus_tag=AG-313-A07_00215;product=Homogentisate 1%2C2-dioxygenase -AG-313-A07_5 Prodigal:2.6 CDS 2673 3728 . + 0 ID=AG-313-A07_00216;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00216;product=hypothetical protein -AG-313-A07_5 Prodigal:2.6 CDS 3772 4272 . - 0 ID=AG-313-A07_00217;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00217;product=hypothetical protein -AG-313-A07_5 Prodigal:2.6 CDS 4517 5668 . + 0 ID=AG-313-A07_00218;eC_number=2.6.1.52;Name=serC;gene=serC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQ73;locus_tag=AG-313-A07_00218;product=Phosphoserine aminotransferase -AG-313-A07_5 Prodigal:2.6 CDS 5693 7276 . + 0 ID=AG-313-A07_00219;eC_number=1.1.1.95;Name=serA;gene=serA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WNX3;locus_tag=AG-313-A07_00219;product=D-3-phosphoglycerate dehydrogenase -AG-313-A07_5 Prodigal:2.6 CDS 7287 8192 . - 0 ID=AG-313-A07_00220;eC_number=3.5.1.9;Name=kynB;gene=kynB;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01969;locus_tag=AG-313-A07_00220;product=Kynurenine formamidase -AG-313-A07_5 Prodigal:2.6 CDS 8407 9522 . + 0 ID=AG-313-A07_00221;Name=hisZ;gene=hisZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9K6Z0;locus_tag=AG-313-A07_00221;product=ATP phosphoribosyltransferase regulatory subunit -AG-313-A07_5 Prodigal:2.6 CDS 9557 10846 . + 0 ID=AG-313-A07_00222;eC_number=6.3.4.4;Name=purA;gene=purA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZIV7;locus_tag=AG-313-A07_00222;product=Adenylosuccinate synthetase -AG-313-A07_5 Prodigal:2.6 CDS 10916 12916 . + 0 ID=AG-313-A07_00223;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00223;product=hypothetical protein -AG-313-A07_5 Prodigal:2.6 CDS 12970 13446 . + 0 ID=AG-313-A07_00224;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00224;product=hypothetical protein -AG-313-A07_5 Prodigal:2.6 CDS 13466 14356 . - 0 ID=AG-313-A07_00225;Name=rpoH_1;gene=rpoH_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0CAW9;locus_tag=AG-313-A07_00225;product=RNA polymerase sigma factor RpoH -AG-313-A07_5 Prodigal:2.6 CDS 14531 15535 . - 0 ID=AG-313-A07_00226;eC_number=5.4.99.23;Name=rluD;gene=rluD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33643;locus_tag=AG-313-A07_00226;product=Ribosomal large subunit pseudouridine synthase D -AG-313-A07_5 Prodigal:2.6 CDS 15621 15881 . + 0 ID=AG-313-A07_00227;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00227;product=hypothetical protein -AG-313-A07_5 Prodigal:2.6 CDS 15902 16972 . + 0 ID=AG-313-A07_00228;eC_number=4.1.2.48;Name=ltaE;gene=ltaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O50584;locus_tag=AG-313-A07_00228;product=Low specificity L-threonine aldolase -AG-313-A07_5 Prodigal:2.6 CDS 17079 18341 . + 0 ID=AG-313-A07_00229;eC_number=2.8.3.22;Name=smtA;gene=smtA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1KLK1;locus_tag=AG-313-A07_00229;product=Succinyl-CoA--L-malate CoA-transferase alpha subunit -AG-313-A07_5 Prodigal:2.6 CDS 18341 19240 . + 0 ID=AG-313-A07_00230;eC_number=4.1.3.6;Name=citE_1;gene=citE_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17725;locus_tag=AG-313-A07_00230;product=Citrate lyase subunit beta -AG-313-A07_5 Prodigal:2.6 CDS 19288 20034 . - 0 ID=AG-313-A07_00231;eC_number=1.1.1.1;Name=adhT_1;gene=adhT_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12311;locus_tag=AG-313-A07_00231;product=Alcohol dehydrogenase -AG-313-A07_5 Prodigal:2.6 CDS 20056 20247 . - 0 ID=AG-313-A07_00232;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00232;product=hypothetical protein -AG-313-A07_5 Prodigal:2.6 CDS 20366 22048 . + 0 ID=AG-313-A07_00233;Name=ettA;gene=ettA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9W3;locus_tag=AG-313-A07_00233;product=Energy-dependent translational throttle protein EttA -AG-313-A07_5 Prodigal:2.6 CDS 22057 22680 . - 0 ID=AG-313-A07_00234;Name=mlaC;gene=mlaC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADV7;locus_tag=AG-313-A07_00234;product=putative phospholipid-binding protein MlaC -AG-313-A07_5 Prodigal:2.6 CDS 22680 23522 . - 0 ID=AG-313-A07_00235;Name=mlaA;gene=mlaA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76506;locus_tag=AG-313-A07_00235;product=putative phospholipid-binding lipoprotein MlaA -AG-313-A07_5 Prodigal:2.6 CDS 23691 24644 . - 0 ID=AG-313-A07_00236;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00236;product=hypothetical protein -AG-313-A07_5 Prodigal:2.6 CDS 24868 26637 . + 0 ID=AG-313-A07_00237;Name=clcA;gene=clcA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZRP8;locus_tag=AG-313-A07_00237;product=H(+)/Cl(-) exchange transporter ClcA -AG-313-A07_5 Prodigal:2.6 CDS 26732 29029 . + 0 ID=AG-313-A07_00238;eC_number=3.6.4.12;Name=pcrA;gene=pcrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q53727;locus_tag=AG-313-A07_00238;product=ATP-dependent DNA helicase PcrA -AG-313-A07_5 Prodigal:2.6 CDS 29026 29925 . + 0 ID=AG-313-A07_00239;eC_number=2.1.1.-;Name=prmA;gene=prmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A0P5;locus_tag=AG-313-A07_00239;product=Ribosomal protein L11 methyltransferase -AG-313-A07_5 Prodigal:2.6 CDS 29989 32001 . + 0 ID=AG-313-A07_00240;eC_number=3.4.13.-;Name=pepE_2;gene=pepE_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WHS7;locus_tag=AG-313-A07_00240;product=putative dipeptidase PepE -AG-313-A07_5 Prodigal:2.6 CDS 32035 32823 . + 0 ID=AG-313-A07_00241;eC_number=5.3.3.18;Name=paaG;gene=paaG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77467;locus_tag=AG-313-A07_00241;product=1%2C2-epoxyphenylacetyl-CoA isomerase -AG-313-A07_5 Prodigal:2.6 CDS 32940 33533 . - 0 ID=AG-313-A07_00242;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00242;product=hypothetical protein -AG-313-A07_5 Prodigal:2.6 CDS 33702 34802 . + 0 ID=AG-313-A07_00243;eC_number=1.14.14.3;Name=luxA;gene=luxA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07740;locus_tag=AG-313-A07_00243;product=Alkanal monooxygenase alpha chain -AG-313-A07_5 Prodigal:2.6 CDS 34823 35617 . + 0 ID=AG-313-A07_00244;eC_number=4.2.1.150;Name=crt_1;gene=crt_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P52046;locus_tag=AG-313-A07_00244;product=Short-chain-enoyl-CoA hydratase -AG-313-A07_5 Prodigal:2.6 CDS 35685 36554 . + 0 ID=AG-313-A07_00245;eC_number=1.14.99.46;Name=rutA_1;gene=rutA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75898;locus_tag=AG-313-A07_00245;product=Pyrimidine monooxygenase RutA -AG-313-A07_5 Prodigal:2.6 CDS 36523 37332 . + 0 ID=AG-313-A07_00246;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00246;product=hypothetical protein -AG-313-A07_5 Prodigal:2.6 CDS 37345 38517 . + 0 ID=AG-313-A07_00247;eC_number=5.1.1.1;Name=alr1;gene=alr1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8RAK6;locus_tag=AG-313-A07_00247;product=Alanine racemase 1 -AG-313-A07_5 Prodigal:2.6 CDS 38534 42193 . - 0 ID=AG-313-A07_00248;eC_number=6.4.1.8;Name=apc3_2;gene=apc3_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5P5G4;locus_tag=AG-313-A07_00248;product=Acetophenone carboxylase gamma subunit -AG-313-A07_5 Prodigal:2.6 CDS 42397 43251 . + 0 ID=AG-313-A07_00249;eC_number=1.14.11.-;Name=tfdA;gene=tfdA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10088;locus_tag=AG-313-A07_00249;product=Alpha-ketoglutarate-dependent 2%2C4-dichlorophenoxyacetate dioxygenase -AG-313-A07_5 Prodigal:2.6 CDS 43383 44072 . + 0 ID=AG-313-A07_00250;Name=rspR;gene=rspR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACM2;locus_tag=AG-313-A07_00250;product=HTH-type transcriptional repressor RspR -AG-313-A07_5 Prodigal:2.6 CDS 44221 45468 . + 0 ID=AG-313-A07_00251;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00251;product=hypothetical protein -AG-313-A07_5 Prodigal:2.6 CDS 45480 45812 . - 0 ID=AG-313-A07_00252;eC_number=4.1.2.49;Name=ltaA_2;gene=ltaA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O07051;locus_tag=AG-313-A07_00252;product=L-allo-threonine aldolase -AG-313-A07_6 Prodigal:2.6 CDS 342 749 . + 0 ID=AG-313-A07_00253;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00253;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 792 1496 . + 0 ID=AG-313-A07_00254;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00254;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 1934 2233 . + 0 ID=AG-313-A07_00255;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00255;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 2468 3283 . + 0 ID=AG-313-A07_00256;eC_number=3.8.1.10;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O06652;locus_tag=AG-313-A07_00256;product=2-haloacid dehalogenase%2C configuration-inverting -AG-313-A07_6 Prodigal:2.6 CDS 3442 5085 . - 0 ID=AG-313-A07_00257;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00257;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 5125 6204 . - 0 ID=AG-313-A07_00258;eC_number=2.1.1.37;Name=haeIIIM;gene=haeIIIM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P20589;locus_tag=AG-313-A07_00258;product=Modification methylase HaeIII -AG-313-A07_6 Prodigal:2.6 CDS 6410 6634 . + 0 ID=AG-313-A07_00259;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00259;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 6631 6861 . + 0 ID=AG-313-A07_00260;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00260;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 6861 7025 . + 0 ID=AG-313-A07_00261;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00261;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 7018 7251 . + 0 ID=AG-313-A07_00262;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00262;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 7518 8696 . + 0 ID=AG-313-A07_00263;eC_number=5.2.1.8;Name=ppiB;gene=ppiB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P35137;locus_tag=AG-313-A07_00263;product=Peptidyl-prolyl cis-trans isomerase B -AG-313-A07_6 Prodigal:2.6 CDS 8973 9371 . - 0 ID=AG-313-A07_00264;Name=hmrR;gene=hmrR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X5X4;locus_tag=AG-313-A07_00264;product=HTH-type transcriptional regulator HmrR -AG-313-A07_6 Prodigal:2.6 CDS 9431 9877 . + 0 ID=AG-313-A07_00265;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00265;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 9886 10380 . + 0 ID=AG-313-A07_00266;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00266;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 10394 10792 . + 0 ID=AG-313-A07_00267;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00267;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 10794 11663 . + 0 ID=AG-313-A07_00268;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00268;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 12062 13549 . - 0 ID=AG-313-A07_00269;Name=bicA;gene=bicA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q14SY0;locus_tag=AG-313-A07_00269;product=Bicarbonate transporter BicA -AG-313-A07_6 Prodigal:2.6 CDS 13951 14820 . + 0 ID=AG-313-A07_00270;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00270;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 15026 15160 . - 0 ID=AG-313-A07_00271;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00271;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 15217 15483 . - 0 ID=AG-313-A07_00272;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00272;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 15848 15976 . + 0 ID=AG-313-A07_00273;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00273;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 16688 17674 . - 0 ID=AG-313-A07_00274;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00274;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 17786 18709 . - 0 ID=AG-313-A07_00275;eC_number=5.1.3.2;Name=galE_2;gene=galE_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09147;locus_tag=AG-313-A07_00275;product=UDP-glucose 4-epimerase -AG-313-A07_6 Prodigal:2.6 CDS 19233 19850 . + 0 ID=AG-313-A07_00276;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00276;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 20028 20207 . - 0 ID=AG-313-A07_00277;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00277;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 20439 20930 . + 0 ID=AG-313-A07_00278;eC_number=3.1.31.1;Name=nucH;gene=nucH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P43270;locus_tag=AG-313-A07_00278;product=Thermonuclease -AG-313-A07_6 Prodigal:2.6 CDS 21238 22377 . + 0 ID=AG-313-A07_00279;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00279;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 22477 23307 . - 0 ID=AG-313-A07_00280;eC_number=1.14.11.17;Name=tauD_1;gene=tauD_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37610;locus_tag=AG-313-A07_00280;product=Alpha-ketoglutarate-dependent taurine dioxygenase -AG-313-A07_6 Prodigal:2.6 CDS 23720 24517 . + 0 ID=AG-313-A07_00281;eC_number=2.3.1.-;Name=yokD;gene=yokD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32003;locus_tag=AG-313-A07_00281;product=SPBc2 prophage-derived aminoglycoside N(3')-acetyltransferase-like protein YokD -AG-313-A07_6 Prodigal:2.6 CDS 24546 24767 . + 0 ID=AG-313-A07_00282;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00282;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 24800 26449 . + 0 ID=AG-313-A07_00283;Name=tycA;gene=tycA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09095;locus_tag=AG-313-A07_00283;product=Tyrocidine synthase 1 -AG-313-A07_6 Prodigal:2.6 CDS 26452 27360 . + 0 ID=AG-313-A07_00284;Name=arnA;gene=arnA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93PD8;locus_tag=AG-313-A07_00284;product=Bifunctional polymyxin resistance protein ArnA -AG-313-A07_6 Prodigal:2.6 CDS 27397 28254 . + 0 ID=AG-313-A07_00285;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00285;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 28303 29643 . + 0 ID=AG-313-A07_00286;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q97H19;locus_tag=AG-313-A07_00286;product=Putative polysaccharide biosynthesis protein with aminopeptidase-like domain protein -AG-313-A07_6 Prodigal:2.6 CDS 29664 30320 . + 0 ID=AG-313-A07_00287;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00287;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 30317 31348 . + 0 ID=AG-313-A07_00288;eC_number=1.1.1.-;Name=rifL;gene=rifL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7BUE1;locus_tag=AG-313-A07_00288;product=Putative UDP-kanosamine synthase oxidoreductase subunit -AG-313-A07_6 Prodigal:2.6 CDS 31460 31978 . - 0 ID=AG-313-A07_00289;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00289;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 31978 32703 . - 0 ID=AG-313-A07_00290;eC_number=6.2.1.1;Name=acsA_2;gene=acsA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39062;locus_tag=AG-313-A07_00290;product=Acetyl-coenzyme A synthetase -AG-313-A07_6 Prodigal:2.6 CDS 32719 33909 . - 0 ID=AG-313-A07_00291;eC_number=2.8.3.19;Name=uctC_3;gene=uctC_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9X6P9;locus_tag=AG-313-A07_00291;product=Acetyl-CoA:oxalate CoA-transferase -AG-313-A07_6 Prodigal:2.6 CDS 33873 34352 . - 0 ID=AG-313-A07_00292;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00292;product=hypothetical protein -AG-313-A07_6 Prodigal:2.6 CDS 34512 36155 . - 0 ID=AG-313-A07_00293;eC_number=5.3.1.9;Name=pgi;gene=pgi;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8YF86;locus_tag=AG-313-A07_00293;product=Glucose-6-phosphate isomerase -AG-313-A07_6 Prodigal:2.6 CDS 36189 36545 . - 0 ID=AG-313-A07_00294;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00294;product=hypothetical protein -AG-313-A07_7 Prodigal:2.6 CDS 51 1970 . + 0 ID=AG-313-A07_00295;eC_number=2.2.1.7;Name=dxs;gene=dxs;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KGU7;locus_tag=AG-313-A07_00295;product=1-deoxy-D-xylulose-5-phosphate synthase -AG-313-A07_7 Prodigal:2.6 CDS 2034 2789 . + 0 ID=AG-313-A07_00296;eC_number=2.1.1.226;Name=tlyA;gene=tlyA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WJ63;locus_tag=AG-313-A07_00296;product=16S/23S rRNA (cytidine-2'-O)-methyltransferase TlyA -AG-313-A07_7 Prodigal:2.6 CDS 2794 3276 . - 0 ID=AG-313-A07_00297;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00297;product=hypothetical protein -AG-313-A07_7 Prodigal:2.6 CDS 3349 4434 . - 0 ID=AG-313-A07_00298;eC_number=4.2.3.5;Name=aroC;gene=aroC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12008;locus_tag=AG-313-A07_00298;product=Chorismate synthase -AG-313-A07_7 Prodigal:2.6 CDS 4455 5267 . - 0 ID=AG-313-A07_00299;eC_number=1.3.1.9;Name=fabI_2;gene=fabI_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O24990;locus_tag=AG-313-A07_00299;product=Enoyl-[acyl-carrier-protein] reductase [NADH] FabI -AG-313-A07_7 Prodigal:2.6 CDS 5402 7846 . - 0 ID=AG-313-A07_00300;eC_number=1.5.3.19;Name=abo_1;gene=abo_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAI3;locus_tag=AG-313-A07_00300;product=4-methylaminobutanoate oxidase (formaldehyde-forming) -AG-313-A07_7 Prodigal:2.6 CDS 8031 9119 . + 0 ID=AG-313-A07_00301;eC_number=3.6.3.31;Name=potA;gene=potA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69874;locus_tag=AG-313-A07_00301;product=Spermidine/putrescine import ATP-binding protein PotA -AG-313-A07_7 Prodigal:2.6 CDS 9248 10336 . + 0 ID=AG-313-A07_00302;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00302;product=hypothetical protein -AG-313-A07_7 Prodigal:2.6 CDS 10357 11652 . + 0 ID=AG-313-A07_00303;Name=potB;gene=potB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFK4;locus_tag=AG-313-A07_00303;product=Spermidine/putrescine transport system permease protein PotB -AG-313-A07_7 Prodigal:2.6 CDS 11657 12508 . + 0 ID=AG-313-A07_00304;Name=ydcV;gene=ydcV;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFR9;locus_tag=AG-313-A07_00304;product=Inner membrane ABC transporter permease protein YdcV -AG-313-A07_7 Prodigal:2.6 CDS 12582 13142 . + 0 ID=AG-313-A07_00305;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00305;product=hypothetical protein -AG-313-A07_7 Prodigal:2.6 CDS 13137 13877 . - 0 ID=AG-313-A07_00306;eC_number=1.1.1.100;Name=fabG_2;gene=fabG_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KQH7;locus_tag=AG-313-A07_00306;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A07_7 Prodigal:2.6 CDS 13943 14581 . - 0 ID=AG-313-A07_00307;eC_number=1.4.3.5;Name=pdxH;gene=pdxH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21159;locus_tag=AG-313-A07_00307;product=Pyridoxine/pyridoxamine 5'-phosphate oxidase -AG-313-A07_7 Prodigal:2.6 CDS 14753 15229 . + 0 ID=AG-313-A07_00308;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00308;product=hypothetical protein -AG-313-A07_7 Prodigal:2.6 CDS 15293 16243 . + 0 ID=AG-313-A07_00309;Name=cbpA;gene=cbpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P36659;locus_tag=AG-313-A07_00309;product=Curved DNA-binding protein -AG-313-A07_7 Prodigal:2.6 CDS 16290 16889 . + 0 ID=AG-313-A07_00310;Name=petJ;gene=petJ;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00594;locus_tag=AG-313-A07_00310;product=Cytochrome c6 -AG-313-A07_7 Prodigal:2.6 CDS 16925 17311 . + 0 ID=AG-313-A07_00311;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00311;product=hypothetical protein -AG-313-A07_7 Prodigal:2.6 CDS 17333 18544 . - 0 ID=AG-313-A07_00312;eC_number=6.3.4.5;Name=argG;gene=argG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PHK7;locus_tag=AG-313-A07_00312;product=Argininosuccinate synthase -AG-313-A07_7 Prodigal:2.6 CDS 18715 21291 . - 0 ID=AG-313-A07_00313;eC_number=3.6.3.-;Name=macB;gene=macB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75831;locus_tag=AG-313-A07_00313;product=Macrolide export ATP-binding/permease protein MacB -AG-313-A07_7 Prodigal:2.6 CDS 21254 21979 . - 0 ID=AG-313-A07_00314;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQK1;locus_tag=AG-313-A07_00314;product=putative ABC transporter ATP-binding protein -AG-313-A07_7 Prodigal:2.6 CDS 22078 22722 . + 0 ID=AG-313-A07_00315;eC_number=3.1.1.2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q07792;locus_tag=AG-313-A07_00315;product=Arylesterase -AG-313-A07_7 Prodigal:2.6 CDS 22745 23287 . + 0 ID=AG-313-A07_00316;eC_number=3.1.4.-;Name=thpR;gene=thpR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37025;locus_tag=AG-313-A07_00316;product=RNA 2'%2C3'-cyclic phosphodiesterase -AG-313-A07_7 Prodigal:2.6 CDS 23301 24347 . - 0 ID=AG-313-A07_00317;Name=aphA;gene=aphA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q48935;locus_tag=AG-313-A07_00317;product=Acetylpolyamine aminohydrolase -AG-313-A07_7 Prodigal:2.6 CDS 24459 26165 . - 0 ID=AG-313-A07_00318;Name=ynaI;gene=ynaI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEB5;locus_tag=AG-313-A07_00318;product=Low conductance mechanosensitive channel YnaI -AG-313-A07_7 Prodigal:2.6 CDS 26775 27074 . + 0 ID=AG-313-A07_00319;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00319;product=hypothetical protein -AG-313-A07_7 Prodigal:2.6 CDS 27071 27967 . - 0 ID=AG-313-A07_00320;Name=folD;gene=folD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A697;locus_tag=AG-313-A07_00320;product=Bifunctional protein FolD protein -AG-313-A07_7 Prodigal:2.6 CDS 28060 28347 . - 0 ID=AG-313-A07_00321;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00321;product=hypothetical protein -AG-313-A07_7 Prodigal:2.6 CDS 28527 28838 . - 0 ID=AG-313-A07_00322;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00322;product=hypothetical protein -AG-313-A07_7 Prodigal:2.6 CDS 28854 30224 . - 0 ID=AG-313-A07_00323;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00323;product=hypothetical protein -AG-313-A07_7 Prodigal:2.6 CDS 30321 31190 . - 0 ID=AG-313-A07_00324;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00324;product=hypothetical protein -AG-313-A07_7 Prodigal:2.6 CDS 31322 34018 . - 0 ID=AG-313-A07_00325;eC_number=4.2.1.3;Name=acnA;gene=acnA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P70920;locus_tag=AG-313-A07_00325;product=Aconitate hydratase A -AG-313-A07_7 Prodigal:2.6 CDS 34015 34896 . - 0 ID=AG-313-A07_00326;eC_number=1.1.98.2;Name=fgd1_1;gene=fgd1_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WNE1;locus_tag=AG-313-A07_00326;product=F420-dependent glucose-6-phosphate dehydrogenase -AG-313-A07_8 Prodigal:2.6 CDS 24 191 . + 0 ID=AG-313-A07_00327;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00327;product=hypothetical protein -AG-313-A07_8 Prodigal:2.6 CDS 261 1256 . + 0 ID=AG-313-A07_00328;eC_number=1.14.20.1;Name=cefE;gene=cefE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P18548;locus_tag=AG-313-A07_00328;product=Deacetoxycephalosporin C synthase -AG-313-A07_8 Prodigal:2.6 CDS 1337 2149 . - 0 ID=AG-313-A07_00329;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00329;product=hypothetical protein -AG-313-A07_8 Prodigal:2.6 CDS 2303 2626 . + 0 ID=AG-313-A07_00330;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00330;product=hypothetical protein -AG-313-A07_8 Prodigal:2.6 CDS 2705 4222 . + 0 ID=AG-313-A07_00331;Name=emrB_2;gene=emrB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEJ0;locus_tag=AG-313-A07_00331;product=Multidrug export protein EmrB -AG-313-A07_8 Prodigal:2.6 CDS 4224 5195 . - 0 ID=AG-313-A07_00332;Name=gsiC;gene=gsiC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75798;locus_tag=AG-313-A07_00332;product=Glutathione transport system permease protein GsiC -AG-313-A07_8 Prodigal:2.6 CDS 5252 6514 . + 0 ID=AG-313-A07_00333;eC_number=1.4.99.-;Name=dadA1;gene=dadA1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HTQ0;locus_tag=AG-313-A07_00333;product=D-amino acid dehydrogenase 1 -AG-313-A07_8 Prodigal:2.6 CDS 6525 7514 . - 0 ID=AG-313-A07_00334;eC_number=1.3.1.103;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q59I44;locus_tag=AG-313-A07_00334;product=2-haloacrylate reductase -AG-313-A07_8 Prodigal:2.6 CDS 7639 8052 . - 0 ID=AG-313-A07_00335;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00335;product=hypothetical protein -AG-313-A07_8 Prodigal:2.6 CDS 8057 8512 . - 0 ID=AG-313-A07_00336;eC_number=4.2.1.153;Name=meh_1;gene=meh_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9WC41;locus_tag=AG-313-A07_00336;product=Mesaconyl-C(4)-CoA hydratase -AG-313-A07_8 Prodigal:2.6 CDS 8541 9248 . - 0 ID=AG-313-A07_00337;Name=mngR;gene=mngR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P13669;locus_tag=AG-313-A07_00337;product=Mannosyl-D-glycerate transport/metabolism system repressor MngR -AG-313-A07_8 Prodigal:2.6 CDS 9348 10130 . - 0 ID=AG-313-A07_00338;eC_number=1.1.1.100;Name=fabG_3;gene=fabG_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P99093;locus_tag=AG-313-A07_00338;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A07_8 Prodigal:2.6 CDS 10183 11070 . - 0 ID=AG-313-A07_00339;eC_number=1.1.1.100;Name=fabG_4;gene=fabG_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KQH7;locus_tag=AG-313-A07_00339;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A07_8 Prodigal:2.6 CDS 11187 11888 . + 0 ID=AG-313-A07_00340;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A3L9;locus_tag=AG-313-A07_00340;product=putative oxidoreductase -AG-313-A07_8 Prodigal:2.6 CDS 11920 12690 . + 0 ID=AG-313-A07_00341;eC_number=4.2.1.80;Name=mhpD_2;gene=mhpD_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77608;locus_tag=AG-313-A07_00341;product=2-keto-4-pentenoate hydratase -AG-313-A07_8 Prodigal:2.6 CDS 12748 13440 . - 0 ID=AG-313-A07_00342;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00342;product=hypothetical protein -AG-313-A07_8 Prodigal:2.6 CDS 13508 14272 . - 0 ID=AG-313-A07_00343;eC_number=1.1.1.163;Name=cpnA_4;gene=cpnA_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAV9;locus_tag=AG-313-A07_00343;product=Cyclopentanol dehydrogenase -AG-313-A07_8 Prodigal:2.6 CDS 14295 16526 . - 0 ID=AG-313-A07_00344;Name=uvrB_2;gene=uvrB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8F8;locus_tag=AG-313-A07_00344;product=UvrABC system protein B -AG-313-A07_8 Prodigal:2.6 CDS 16715 17671 . + 0 ID=AG-313-A07_00345;Name=albA;gene=albA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P71011;locus_tag=AG-313-A07_00345;product=Antilisterial bacteriocin subtilosin biosynthesis protein AlbA -AG-313-A07_8 Prodigal:2.6 CDS 17677 18516 . - 0 ID=AG-313-A07_00346;eC_number=3.1.4.53;Name=cpdA_1;gene=cpdA_1;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00905;locus_tag=AG-313-A07_00346;product=3'%2C5'-cyclic adenosine monophosphate phosphodiesterase CpdA -AG-313-A07_8 Prodigal:2.6 CDS 18574 18936 . - 0 ID=AG-313-A07_00347;eC_number=4.1.2.25;Name=folB;gene=folB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P46362;locus_tag=AG-313-A07_00347;product=Dihydroneopterin aldolase -AG-313-A07_8 Prodigal:2.6 CDS 18960 19724 . - 0 ID=AG-313-A07_00348;eC_number=1.1.1.100;Name=fabG_5;gene=fabG_5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P99093;locus_tag=AG-313-A07_00348;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A07_8 Prodigal:2.6 CDS 20290 22224 . + 0 ID=AG-313-A07_00349;Name=uvrC;gene=uvrC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8G0;locus_tag=AG-313-A07_00349;product=UvrABC system protein C -AG-313-A07_8 Prodigal:2.6 CDS 22301 22876 . + 0 ID=AG-313-A07_00350;eC_number=2.7.8.5;Name=pgsA;gene=pgsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABF8;locus_tag=AG-313-A07_00350;product=CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase -AG-313-A07_8 Prodigal:2.6 CDS 22921 23427 . + 0 ID=AG-313-A07_00351;Name=mobB;gene=mobB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32125;locus_tag=AG-313-A07_00351;product=Molybdopterin-guanine dinucleotide biosynthesis adapter protein -AG-313-A07_8 Prodigal:2.6 CDS 23440 24711 . + 0 ID=AG-313-A07_00352;eC_number=2.10.1.1;Name=moeA;gene=moeA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12281;locus_tag=AG-313-A07_00352;product=Molybdopterin molybdenumtransferase -AG-313-A07_8 Prodigal:2.6 CDS 24708 24959 . + 0 ID=AG-313-A07_00353;Name=moaD;gene=moaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P30748;locus_tag=AG-313-A07_00353;product=Molybdopterin synthase sulfur carrier subunit -AG-313-A07_8 Prodigal:2.6 CDS 24963 25412 . + 0 ID=AG-313-A07_00354;eC_number=2.8.1.12;Name=moaE;gene=moaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P30749;locus_tag=AG-313-A07_00354;product=Molybdopterin synthase catalytic subunit -AG-313-A07_8 Prodigal:2.6 CDS 25427 26395 . - 0 ID=AG-313-A07_00355;eC_number=2.1.2.9;Name=fmt;gene=fmt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZJ80;locus_tag=AG-313-A07_00355;product=Methionyl-tRNA formyltransferase -AG-313-A07_8 Prodigal:2.6 CDS 26399 26908 . - 0 ID=AG-313-A07_00356;eC_number=3.5.1.88;Name=def_1;gene=def_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I7A8;locus_tag=AG-313-A07_00356;product=Peptide deformylase -AG-313-A07_8 Prodigal:2.6 CDS 27059 28249 . + 0 ID=AG-313-A07_00357;Name=rmuC;gene=rmuC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG71;locus_tag=AG-313-A07_00357;product=DNA recombination protein RmuC -AG-313-A07_8 Prodigal:2.6 CDS 28344 29066 . - 0 ID=AG-313-A07_00358;Name=ycf3_1;gene=ycf3_1;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00439;locus_tag=AG-313-A07_00358;product=Photosystem I assembly protein Ycf3 -AG-313-A07_8 Prodigal:2.6 CDS 29198 30517 . - 0 ID=AG-313-A07_00359;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00359;product=hypothetical protein -AG-313-A07_8 Prodigal:2.6 CDS 30855 32261 . + 0 ID=AG-313-A07_00360;eC_number=4.2.1.79;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:H8F0D6;locus_tag=AG-313-A07_00360;product=2-methylcitrate dehydratase -AG-313-A07_8 Prodigal:2.6 CDS 32272 32790 . + 0 ID=AG-313-A07_00361;eC_number=4.2.1.148;Name=mch;gene=mch;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3IZ78;locus_tag=AG-313-A07_00361;product=Mesaconyl-CoA hydratase -AG-313-A07_8 Prodigal:2.6 CDS 32835 34010 . + 0 ID=AG-313-A07_00362;eC_number=1.3.99.-;Name=mmgC_1;gene=mmgC_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45857;locus_tag=AG-313-A07_00362;product=Acyl-CoA dehydrogenase -AG-313-A07_8 Prodigal:2.6 CDS 34076 34525 . - 0 ID=AG-313-A07_00363;eC_number=1.13.12.19;Name=efe_1;gene=efe_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32021;locus_tag=AG-313-A07_00363;product=2-oxoglutarate-dependent ethylene/succinate-forming enzyme -AG-313-A07_9 Prodigal:2.6 CDS 43 1731 . + 0 ID=AG-313-A07_00364;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00364;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 2022 2888 . + 0 ID=AG-313-A07_00365;Name=fliC;gene=fliC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8YDM5;locus_tag=AG-313-A07_00365;product=Flagellin -AG-313-A07_9 Prodigal:2.6 CDS 2940 3302 . + 0 ID=AG-313-A07_00366;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00366;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 3322 5064 . - 0 ID=AG-313-A07_00367;eC_number=3.4.-.-;Name=bepA;gene=bepA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00997;locus_tag=AG-313-A07_00367;product=Beta-barrel assembly-enhancing protease -AG-313-A07_9 Prodigal:2.6 CDS 5273 6694 . + 0 ID=AG-313-A07_00368;Name=flgK;gene=flgK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A1J5;locus_tag=AG-313-A07_00368;product=Flagellar hook-associated protein 1 -AG-313-A07_9 Prodigal:2.6 CDS 6708 7967 . + 0 ID=AG-313-A07_00369;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00369;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 8127 8588 . + 0 ID=AG-313-A07_00370;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00370;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 8738 9763 . + 0 ID=AG-313-A07_00371;Name=ycf3_2;gene=ycf3_2;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00439;locus_tag=AG-313-A07_00371;product=Photosystem I assembly protein Ycf3 -AG-313-A07_9 Prodigal:2.6 CDS 9795 10244 . - 0 ID=AG-313-A07_00372;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00372;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 10246 10584 . - 0 ID=AG-313-A07_00373;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00373;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 10597 11871 . - 0 ID=AG-313-A07_00374;Name=flgI;gene=flgI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PMJ8;locus_tag=AG-313-A07_00374;product=Flagellar P-ring protein -AG-313-A07_9 Prodigal:2.6 CDS 12025 12441 . + 0 ID=AG-313-A07_00375;Name=fliX;gene=fliX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32348;locus_tag=AG-313-A07_00375;product=Flagellar assembly protein FliX -AG-313-A07_9 Prodigal:2.6 CDS 12582 12998 . + 0 ID=AG-313-A07_00376;Name=dksA;gene=dksA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABS1;locus_tag=AG-313-A07_00376;product=RNA polymerase-binding transcription factor DksA -AG-313-A07_9 Prodigal:2.6 CDS 13061 13822 . - 0 ID=AG-313-A07_00377;Name=flgH;gene=flgH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PPM0;locus_tag=AG-313-A07_00377;product=Flagellar L-ring protein -AG-313-A07_9 Prodigal:2.6 CDS 13865 14851 . - 0 ID=AG-313-A07_00378;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00378;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 14888 15673 . - 0 ID=AG-313-A07_00379;Name=flgG_1;gene=flgG_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A1J3;locus_tag=AG-313-A07_00379;product=Flagellar basal-body rod protein FlgG -AG-313-A07_9 Prodigal:2.6 CDS 15705 16433 . - 0 ID=AG-313-A07_00380;Name=flgG_2;gene=flgG_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A1J3;locus_tag=AG-313-A07_00380;product=Flagellar basal-body rod protein FlgG -AG-313-A07_9 Prodigal:2.6 CDS 16835 17356 . + 0 ID=AG-313-A07_00381;Name=fliL_1;gene=fliL_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8GXB6;locus_tag=AG-313-A07_00381;product=Flagellar FliL protein -AG-313-A07_9 Prodigal:2.6 CDS 17364 18389 . + 0 ID=AG-313-A07_00382;Name=fliM;gene=fliM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26418;locus_tag=AG-313-A07_00382;product=Flagellar motor switch protein FliM -AG-313-A07_9 Prodigal:2.6 CDS 18408 18911 . + 0 ID=AG-313-A07_00383;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00383;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 18912 19754 . + 0 ID=AG-313-A07_00384;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00384;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 19915 20574 . + 0 ID=AG-313-A07_00385;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00385;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 20577 21338 . + 0 ID=AG-313-A07_00386;Name=motB_2;gene=motB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P55892;locus_tag=AG-313-A07_00386;product=Motility protein B -AG-313-A07_9 Prodigal:2.6 CDS 21335 24907 . + 0 ID=AG-313-A07_00387;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00387;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 24939 25730 . - 0 ID=AG-313-A07_00388;Name=fliP;gene=fliP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54700;locus_tag=AG-313-A07_00388;product=Flagellar biosynthetic protein FliP -AG-313-A07_9 Prodigal:2.6 CDS 25727 26083 . - 0 ID=AG-313-A07_00389;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00389;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 26145 26480 . - 0 ID=AG-313-A07_00390;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00390;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 26480 26773 . - 0 ID=AG-313-A07_00391;Name=flhB_1;gene=flhB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67813;locus_tag=AG-313-A07_00391;product=Flagellar biosynthetic protein FlhB -AG-313-A07_9 Prodigal:2.6 CDS 26970 27389 . + 0 ID=AG-313-A07_00392;Name=flgB;gene=flgB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P16437;locus_tag=AG-313-A07_00392;product=Flagellar basal body rod protein FlgB -AG-313-A07_9 Prodigal:2.6 CDS 27419 27835 . + 0 ID=AG-313-A07_00393;Name=flgC;gene=flgC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A1I7;locus_tag=AG-313-A07_00393;product=Flagellar basal-body rod protein FlgC -AG-313-A07_9 Prodigal:2.6 CDS 27902 28192 . + 0 ID=AG-313-A07_00394;Name=fliE;gene=fliE;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00724;locus_tag=AG-313-A07_00394;product=Flagellar hook-basal body complex protein FliE -AG-313-A07_9 Prodigal:2.6 CDS 28219 28485 . + 0 ID=AG-313-A07_00395;Name=fliQ;gene=fliQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P74931;locus_tag=AG-313-A07_00395;product=Flagellar biosynthetic protein FliQ -AG-313-A07_9 Prodigal:2.6 CDS 28551 29318 . + 0 ID=AG-313-A07_00396;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00396;product=hypothetical protein -AG-313-A07_9 Prodigal:2.6 CDS 29333 30409 . + 0 ID=AG-313-A07_00397;Name=flhB_2;gene=flhB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40727;locus_tag=AG-313-A07_00397;product=Flagellar biosynthetic protein FlhB -AG-313-A07_9 Prodigal:2.6 CDS 30755 31837 . + 0 ID=AG-313-A07_00398;Name=recA;gene=recA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00268;locus_tag=AG-313-A07_00398;product=Protein RecA -AG-313-A07_10 Prodigal:2.6 CDS 161 2524 . - 0 ID=AG-313-A07_00399;eC_number=1.2.4.1;Name=aceE;gene=aceE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0R0B0;locus_tag=AG-313-A07_00399;product=Pyruvate dehydrogenase E1 component -AG-313-A07_10 Prodigal:2.6 CDS 2715 4556 . - 0 ID=AG-313-A07_00400;Name=atm1;gene=atm1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2G506;locus_tag=AG-313-A07_00400;product=ATM1-type heavy metal exporter -AG-313-A07_10 Prodigal:2.6 CDS 4855 6870 . + 0 ID=AG-313-A07_00401;Name=accA1;gene=accA1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WPQ3;locus_tag=AG-313-A07_00401;product=Acetyl-/propionyl-coenzyme A carboxylase alpha chain -AG-313-A07_10 Prodigal:2.6 CDS 6874 8340 . + 0 ID=AG-313-A07_00402;Name=ybhI;gene=ybhI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75763;locus_tag=AG-313-A07_00402;product=Inner membrane protein YbhI -AG-313-A07_10 Prodigal:2.6 CDS 8340 8774 . + 0 ID=AG-313-A07_00403;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00403;product=hypothetical protein -AG-313-A07_10 barrnap:0.6 rRNA 9367 10863 0 + . ID=AG-313-A07_00404;locus_tag=AG-313-A07_00404;product=16S ribosomal RNA -AG-313-A07_10 Aragorn:1.2 tRNA 10987 11062 . + . ID=AG-313-A07_00405;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_00405;product=tRNA-Ala(tgc) -AG-313-A07_10 Aragorn:1.2 tRNA 11095 11171 . + . ID=AG-313-A07_00406;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_00406;product=tRNA-Ile(gat) -AG-313-A07_10 barrnap:0.6 rRNA 11483 14212 0 + . ID=AG-313-A07_00407;locus_tag=AG-313-A07_00407;product=23S ribosomal RNA -AG-313-A07_10 barrnap:0.6 rRNA 14307 14416 6e-11 + . ID=AG-313-A07_00408;locus_tag=AG-313-A07_00408;product=5S ribosomal RNA -AG-313-A07_10 Aragorn:1.2 tRNA 14502 14578 . + . ID=AG-313-A07_00409;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_00409;product=tRNA-Met(cat) -AG-313-A07_10 Prodigal:2.6 CDS 14651 15322 . + 0 ID=AG-313-A07_00410;eC_number=2.5.1.18;Name=gstB_1;gene=gstB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACA7;locus_tag=AG-313-A07_00410;product=Glutathione S-transferase GstB -AG-313-A07_10 Prodigal:2.6 CDS 15626 17230 . + 0 ID=AG-313-A07_00411;Name=hbpA;gene=hbpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33950;locus_tag=AG-313-A07_00411;product=Heme-binding protein A -AG-313-A07_10 Prodigal:2.6 CDS 17337 18287 . + 0 ID=AG-313-A07_00412;Name=dppB_1;gene=dppB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEF8;locus_tag=AG-313-A07_00412;product=Dipeptide transport system permease protein DppB -AG-313-A07_10 Prodigal:2.6 CDS 18297 19190 . + 0 ID=AG-313-A07_00413;Name=gsiD;gene=gsiD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75799;locus_tag=AG-313-A07_00413;product=Glutathione transport system permease protein GsiD -AG-313-A07_10 Prodigal:2.6 CDS 19269 21125 . - 0 ID=AG-313-A07_00414;eC_number=1.14.13.170;Name=pntE;gene=pntE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:E3VWI7;locus_tag=AG-313-A07_00414;product=Pentalenolactone D synthase -AG-313-A07_10 Prodigal:2.6 CDS 21362 21682 . + 0 ID=AG-313-A07_00415;eC_number=5.2.1.8;Name=prsA1;gene=prsA1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q81U45;locus_tag=AG-313-A07_00415;product=Foldase protein PrsA 1 -AG-313-A07_10 Prodigal:2.6 CDS 21838 24213 . + 0 ID=AG-313-A07_00416;eC_number=4.2.1.112;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q71EW5;locus_tag=AG-313-A07_00416;product=Acetylene hydratase -AG-313-A07_10 Prodigal:2.6 CDS 24292 25005 . + 0 ID=AG-313-A07_00417;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00417;product=hypothetical protein -AG-313-A07_10 Prodigal:2.6 CDS 25049 26287 . - 0 ID=AG-313-A07_00418;eC_number=1.14.13.107;Name=limB_1;gene=limB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9EUT9;locus_tag=AG-313-A07_00418;product=Limonene 1%2C2-monooxygenase -AG-313-A07_10 Prodigal:2.6 CDS 26400 27101 . + 0 ID=AG-313-A07_00419;eC_number=2.1.2.11;Name=panB_2;gene=panB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P65656;locus_tag=AG-313-A07_00419;product=3-methyl-2-oxobutanoate hydroxymethyltransferase -AG-313-A07_10 Prodigal:2.6 CDS 27043 27291 . + 0 ID=AG-313-A07_00420;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00420;product=hypothetical protein -AG-313-A07_10 Prodigal:2.6 CDS 27347 28540 . + 0 ID=AG-313-A07_00421;eC_number=4.2.1.-;Name=rspA;gene=rspA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B5RAG0;locus_tag=AG-313-A07_00421;product=D-galactonate dehydratase family member RspA -AG-313-A07_10 Prodigal:2.6 CDS 28569 29705 . - 0 ID=AG-313-A07_00422;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00422;product=hypothetical protein -AG-313-A07_10 Prodigal:2.6 CDS 29900 30754 . + 0 ID=AG-313-A07_00423;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00423;product=hypothetical protein -AG-313-A07_10 Prodigal:2.6 CDS 30763 31389 . - 0 ID=AG-313-A07_00424;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00424;product=hypothetical protein -AG-313-A07_10 Prodigal:2.6 CDS 31597 31839 . + 0 ID=AG-313-A07_00425;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00425;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 75 464 . + 0 ID=AG-313-A07_00426;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00426;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 415 1119 . + 0 ID=AG-313-A07_00427;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00427;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 1224 1652 . - 0 ID=AG-313-A07_00428;Name=bcp_1;gene=bcp_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19567;locus_tag=AG-313-A07_00428;product=Pseudoazurin -AG-313-A07_11 Prodigal:2.6 CDS 1836 2114 . - 0 ID=AG-313-A07_00429;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00429;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 2186 3037 . - 0 ID=AG-313-A07_00430;Name=hag;gene=hag;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q05203;locus_tag=AG-313-A07_00430;product=Flagellin -AG-313-A07_11 Prodigal:2.6 CDS 3370 4209 . + 0 ID=AG-313-A07_00431;eC_number=1.14.11.17;Name=tauD_2;gene=tauD_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37610;locus_tag=AG-313-A07_00431;product=Alpha-ketoglutarate-dependent taurine dioxygenase -AG-313-A07_11 Prodigal:2.6 CDS 4374 4757 . + 0 ID=AG-313-A07_00432;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00432;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 5164 5523 . + 0 ID=AG-313-A07_00433;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00433;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 5606 5800 . + 0 ID=AG-313-A07_00434;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00434;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 5889 6497 . + 0 ID=AG-313-A07_00435;eC_number=1.8.4.-;Name=yfcG_1;gene=yfcG_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77526;locus_tag=AG-313-A07_00435;product=Disulfide-bond oxidoreductase YfcG -AG-313-A07_11 Prodigal:2.6 CDS 6500 6625 . - 0 ID=AG-313-A07_00436;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00436;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 6641 6757 . - 0 ID=AG-313-A07_00437;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00437;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 7025 7639 . + 0 ID=AG-313-A07_00438;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00438;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 7659 8276 . + 0 ID=AG-313-A07_00439;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00439;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 8322 9203 . - 0 ID=AG-313-A07_00440;eC_number=1.14.11.-;Name=ectD_1;gene=ectD_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2TDY4;locus_tag=AG-313-A07_00440;product=Ectoine dioxygenase -AG-313-A07_11 Prodigal:2.6 CDS 9565 9954 . + 0 ID=AG-313-A07_00441;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00441;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 9977 11179 . + 0 ID=AG-313-A07_00442;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00442;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 11200 12153 . + 0 ID=AG-313-A07_00443;eC_number=1.1.1.108;Name=lcdH;gene=lcdH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:D7URM0;locus_tag=AG-313-A07_00443;product=L-carnitine dehydrogenase -AG-313-A07_11 Prodigal:2.6 CDS 12158 13273 . - 0 ID=AG-313-A07_00444;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00444;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 13535 14224 . + 0 ID=AG-313-A07_00445;eC_number=2.8.3.6;Name=pcaI;gene=pcaI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q01103;locus_tag=AG-313-A07_00445;product=3-oxoadipate CoA-transferase subunit A -AG-313-A07_11 Prodigal:2.6 CDS 14276 15484 . - 0 ID=AG-313-A07_00446;eC_number=2.6.1.51;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X1C0;locus_tag=AG-313-A07_00446;product=Serine-pyruvate aminotransferase -AG-313-A07_11 Prodigal:2.6 CDS 15662 16363 . + 0 ID=AG-313-A07_00447;eC_number=2.8.3.6;Name=pcaJ;gene=pcaJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q59091;locus_tag=AG-313-A07_00447;product=3-oxoadipate CoA-transferase subunit B -AG-313-A07_11 Prodigal:2.6 CDS 16494 16982 . + 0 ID=AG-313-A07_00448;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00448;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 17076 18800 . + 0 ID=AG-313-A07_00449;eC_number=4.2.1.25;Name=araC_1;gene=araC_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1JUQ1;locus_tag=AG-313-A07_00449;product=L-arabonate dehydratase -AG-313-A07_11 Prodigal:2.6 CDS 18942 19394 . + 0 ID=AG-313-A07_00450;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00450;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 19401 20345 . - 0 ID=AG-313-A07_00451;eC_number=1.1.1.215;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5FTU6;locus_tag=AG-313-A07_00451;product=2-ketogluconate reductase -AG-313-A07_11 Prodigal:2.6 CDS 20382 22169 . - 0 ID=AG-313-A07_00452;eC_number=1.3.8.-;Name=dmdC;gene=dmdC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5LLW7;locus_tag=AG-313-A07_00452;product=3-methylmercaptopropionyl-CoA dehydrogenase -AG-313-A07_11 Prodigal:2.6 CDS 22325 23521 . - 0 ID=AG-313-A07_00453;eC_number=3.5.1.46;Name=nylB';gene=nylB';inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07062;locus_tag=AG-313-A07_00453;product=6-aminohexanoate-dimer hydrolase -AG-313-A07_11 Prodigal:2.6 CDS 23534 24994 . - 0 ID=AG-313-A07_00454;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIT1;locus_tag=AG-313-A07_00454;product=putative FAD-linked oxidoreductase -AG-313-A07_11 Prodigal:2.6 CDS 25077 26015 . - 0 ID=AG-313-A07_00455;eC_number=2.7.7.87;Name=ywlC;gene=ywlC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39153;locus_tag=AG-313-A07_00455;product=Threonylcarbamoyl-AMP synthase -AG-313-A07_11 Prodigal:2.6 CDS 26256 27098 . + 0 ID=AG-313-A07_00456;eC_number=1.13.11.-;Name=todE;gene=todE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P13453;locus_tag=AG-313-A07_00456;product=3-methylcatechol 2%2C3-dioxygenase -AG-313-A07_11 Prodigal:2.6 CDS 27107 27865 . - 0 ID=AG-313-A07_00457;eC_number=3.1.3.7;Name=cysQ;gene=cysQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P22255;locus_tag=AG-313-A07_00457;product=3'(2')%2C5'-bisphosphate nucleotidase CysQ -AG-313-A07_11 Prodigal:2.6 CDS 27966 28649 . + 0 ID=AG-313-A07_00458;eC_number=3.4.-.-;Name=yedK;gene=yedK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76318;locus_tag=AG-313-A07_00458;product=Putative SOS response-associated peptidase YedK -AG-313-A07_11 Prodigal:2.6 CDS 28694 29203 . - 0 ID=AG-313-A07_00459;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00459;product=hypothetical protein -AG-313-A07_11 Prodigal:2.6 CDS 29197 30783 . - 0 ID=AG-313-A07_00460;eC_number=3.1.4.52;Name=gmr;gene=gmr;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77334;locus_tag=AG-313-A07_00460;product=Cyclic di-GMP phosphodiesterase Gmr -AG-313-A07_12 Prodigal:2.6 CDS 456 683 . + 0 ID=AG-313-A07_00461;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00461;product=hypothetical protein -AG-313-A07_12 Prodigal:2.6 CDS 1057 2277 . + 0 ID=AG-313-A07_00462;eC_number=2.8.3.22;Name=smtB_2;gene=smtB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1KLK0;locus_tag=AG-313-A07_00462;product=Succinyl-CoA--L-malate CoA-transferase beta subunit -AG-313-A07_12 Prodigal:2.6 CDS 2298 3215 . + 0 ID=AG-313-A07_00463;eC_number=4.1.3.4;Name=yngG_1;gene=yngG_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34873;locus_tag=AG-313-A07_00463;product=Hydroxymethylglutaryl-CoA lyase YngG -AG-313-A07_12 Prodigal:2.6 CDS 3270 4082 . + 0 ID=AG-313-A07_00464;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00464;product=hypothetical protein -AG-313-A07_12 Prodigal:2.6 CDS 4092 5888 . - 0 ID=AG-313-A07_00465;eC_number=1.3.99.-;Name=aidB;gene=aidB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33224;locus_tag=AG-313-A07_00465;product=Putative acyl-CoA dehydrogenase AidB -AG-313-A07_12 Prodigal:2.6 CDS 6211 6993 . + 0 ID=AG-313-A07_00466;eC_number=4.2.1.17;Name=echA8_2;gene=echA8_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WNN9;locus_tag=AG-313-A07_00466;product=putative enoyl-CoA hydratase echA8 -AG-313-A07_12 Prodigal:2.6 CDS 7041 7694 . - 0 ID=AG-313-A07_00467;eC_number=4.2.99.18;Name=nth;gene=nth;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQ11;locus_tag=AG-313-A07_00467;product=Endonuclease III -AG-313-A07_12 Prodigal:2.6 CDS 7801 8538 . + 0 ID=AG-313-A07_00468;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00468;product=hypothetical protein -AG-313-A07_12 Prodigal:2.6 CDS 8593 10230 . + 0 ID=AG-313-A07_00469;eC_number=1.14.13.92;Name=pamO_1;gene=pamO_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q47PU3;locus_tag=AG-313-A07_00469;product=Phenylacetone monooxygenase -AG-313-A07_12 Prodigal:2.6 CDS 10311 12227 . + 0 ID=AG-313-A07_00470;eC_number=1.14.13.23;Name=mobA;gene=mobA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6SSJ6;locus_tag=AG-313-A07_00470;product=3-hydroxybenzoate 4-monooxygenase -AG-313-A07_12 Prodigal:2.6 CDS 12273 12695 . - 0 ID=AG-313-A07_00471;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00471;product=hypothetical protein -AG-313-A07_12 Prodigal:2.6 CDS 12835 13785 . - 0 ID=AG-313-A07_00472;eC_number=3.2.-.-;Name=rihA;gene=rihA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P41409;locus_tag=AG-313-A07_00472;product=Pyrimidine-specific ribonucleoside hydrolase RihA -AG-313-A07_12 Prodigal:2.6 CDS 13964 14632 . + 0 ID=AG-313-A07_00473;eC_number=3.8.1.3;Name=dehH2;gene=dehH2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q01399;locus_tag=AG-313-A07_00473;product=Haloacetate dehalogenase H-2 -AG-313-A07_12 Prodigal:2.6 CDS 14647 16041 . - 0 ID=AG-313-A07_00474;eC_number=6.3.5.7;Name=gatA_2;gene=gatA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X0Z9;locus_tag=AG-313-A07_00474;product=Glutamyl-tRNA(Gln) amidotransferase subunit A -AG-313-A07_12 Prodigal:2.6 CDS 16248 17504 . - 0 ID=AG-313-A07_00475;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00475;product=hypothetical protein -AG-313-A07_12 Prodigal:2.6 CDS 17972 18991 . + 0 ID=AG-313-A07_00476;eC_number=1.1.1.-;Name=acoA;gene=acoA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O31404;locus_tag=AG-313-A07_00476;product=Acetoin:2%2C6-dichlorophenolindophenol oxidoreductase subunit alpha -AG-313-A07_12 Prodigal:2.6 CDS 18999 20081 . + 0 ID=AG-313-A07_00477;eC_number=1.2.4.4;Name=bfmBAB;gene=bfmBAB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37941;locus_tag=AG-313-A07_00477;product=2-oxoisovalerate dehydrogenase subunit beta -AG-313-A07_12 Prodigal:2.6 CDS 20156 21205 . + 0 ID=AG-313-A07_00478;eC_number=4.4.1.23;Name=xecA1;gene=xecA1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q56837;locus_tag=AG-313-A07_00478;product=2-hydroxypropyl-CoM lyase -AG-313-A07_12 Prodigal:2.6 CDS 21257 21988 . + 0 ID=AG-313-A07_00479;eC_number=1.1.1.100;Name=fabG_6;gene=fabG_6;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67610;locus_tag=AG-313-A07_00479;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A07_12 Prodigal:2.6 CDS 22061 23299 . + 0 ID=AG-313-A07_00480;Name=yhjX_3;gene=yhjX_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37662;locus_tag=AG-313-A07_00480;product=putative MFS-type transporter YhjX -AG-313-A07_12 Prodigal:2.6 CDS 23306 23986 . - 0 ID=AG-313-A07_00481;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00481;product=hypothetical protein -AG-313-A07_12 Prodigal:2.6 CDS 24072 24962 . - 0 ID=AG-313-A07_00482;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00482;product=hypothetical protein -AG-313-A07_12 Prodigal:2.6 CDS 25125 25922 . + 0 ID=AG-313-A07_00483;eC_number=3.1.1.24;Name=catD_1;gene=catD_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00632;locus_tag=AG-313-A07_00483;product=3-oxoadipate enol-lactonase 2 -AG-313-A07_12 Prodigal:2.6 CDS 25937 26728 . + 0 ID=AG-313-A07_00484;eC_number=5.1.-.-;Name=yddE;gene=yddE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37757;locus_tag=AG-313-A07_00484;product=putative isomerase YddE -AG-313-A07_12 Prodigal:2.6 CDS 26785 29139 . + 0 ID=AG-313-A07_00485;eC_number=1.2.99.2;Name=cutL_1;gene=cutL_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19913;locus_tag=AG-313-A07_00485;product=Carbon monoxide dehydrogenase large chain -AG-313-A07_12 Prodigal:2.6 CDS 29241 29957 . + 0 ID=AG-313-A07_00486;eC_number=3.1.1.45;Name=clcD_1;gene=clcD_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A114;locus_tag=AG-313-A07_00486;product=Carboxymethylenebutenolidase -AG-313-A07_13 Prodigal:2.6 CDS 582 917 . - 0 ID=AG-313-A07_00487;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00487;product=hypothetical protein -AG-313-A07_13 Prodigal:2.6 CDS 1186 2238 . + 0 ID=AG-313-A07_00488;eC_number=1.1.1.27;Name=ldh;gene=ldh;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q07251;locus_tag=AG-313-A07_00488;product=L-lactate dehydrogenase -AG-313-A07_13 Prodigal:2.6 CDS 2295 3200 . - 0 ID=AG-313-A07_00489;Name=ribN_1;gene=ribN_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1MIM3;locus_tag=AG-313-A07_00489;product=Riboflavin transporter -AG-313-A07_13 Prodigal:2.6 CDS 3265 4149 . + 0 ID=AG-313-A07_00490;eC_number=2.8.1.2;Name=sseA;gene=sseA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P31142;locus_tag=AG-313-A07_00490;product=3-mercaptopyruvate sulfurtransferase -AG-313-A07_13 Prodigal:2.6 CDS 4205 5704 . - 0 ID=AG-313-A07_00491;eC_number=1.3.5.4;Name=ifcA_2;gene=ifcA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9Z4P0;locus_tag=AG-313-A07_00491;product=Fumarate reductase flavoprotein subunit -AG-313-A07_13 Prodigal:2.6 CDS 5957 7066 . + 0 ID=AG-313-A07_00492;eC_number=4.2.1.156;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZL58;locus_tag=AG-313-A07_00492;product=L-talarate/galactarate dehydratase -AG-313-A07_13 Prodigal:2.6 CDS 7133 7513 . + 0 ID=AG-313-A07_00493;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00493;product=hypothetical protein -AG-313-A07_13 Prodigal:2.6 CDS 7650 8492 . + 0 ID=AG-313-A07_00494;eC_number=1.17.1.5;Name=ndhF;gene=ndhF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0QLF4;locus_tag=AG-313-A07_00494;product=Nicotinate dehydrogenase FAD-subunit -AG-313-A07_13 Prodigal:2.6 CDS 8489 11230 . + 0 ID=AG-313-A07_00495;eC_number=1.2.99.7;Name=mop;gene=mop;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q46509;locus_tag=AG-313-A07_00495;product=Aldehyde oxidoreductase -AG-313-A07_13 Prodigal:2.6 CDS 11232 12752 . + 0 ID=AG-313-A07_00496;eC_number=1.3.7.1;Name=Hnr;gene=Hnr;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0QLF7;locus_tag=AG-313-A07_00496;product=6-hydroxynicotinate reductase -AG-313-A07_13 Prodigal:2.6 CDS 12745 13620 . + 0 ID=AG-313-A07_00497;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00497;product=hypothetical protein -AG-313-A07_13 Prodigal:2.6 CDS 13663 14250 . + 0 ID=AG-313-A07_00498;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00498;product=hypothetical protein -AG-313-A07_13 Prodigal:2.6 CDS 14312 14710 . - 0 ID=AG-313-A07_00499;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00499;product=hypothetical protein -AG-313-A07_13 Prodigal:2.6 CDS 14738 15517 . - 0 ID=AG-313-A07_00500;eC_number=1.1.1.100;Name=fabG_7;gene=fabG_7;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67610;locus_tag=AG-313-A07_00500;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A07_13 Prodigal:2.6 CDS 15727 17586 . + 0 ID=AG-313-A07_00501;Name=mutL;gene=mutL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5F8M6;locus_tag=AG-313-A07_00501;product=DNA mismatch repair protein MutL -AG-313-A07_13 Prodigal:2.6 CDS 17943 19628 . + 0 ID=AG-313-A07_00502;eC_number=2.3.3.13;Name=leuA;gene=leuA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQB3;locus_tag=AG-313-A07_00502;product=2-isopropylmalate synthase -AG-313-A07_13 Prodigal:2.6 CDS 19630 20247 . - 0 ID=AG-313-A07_00503;Name=yibF_1;gene=yibF_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACA1;locus_tag=AG-313-A07_00503;product=putative GST-like protein YibF -AG-313-A07_13 Prodigal:2.6 CDS 20404 20859 . + 0 ID=AG-313-A07_00504;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00504;product=hypothetical protein -AG-313-A07_13 Prodigal:2.6 CDS 20849 22048 . - 0 ID=AG-313-A07_00505;Name=yhjX_4;gene=yhjX_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37662;locus_tag=AG-313-A07_00505;product=putative MFS-type transporter YhjX -AG-313-A07_13 Prodigal:2.6 CDS 22172 22645 . + 0 ID=AG-313-A07_00506;eC_number=1.17.2.1;Name=nicA;gene=nicA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q88FX9;locus_tag=AG-313-A07_00506;product=Nicotinate dehydrogenase subunit A -AG-313-A07_13 Prodigal:2.6 CDS 22638 24779 . + 0 ID=AG-313-A07_00507;eC_number=1.17.2.1;Name=nicB;gene=nicB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q88FX8;locus_tag=AG-313-A07_00507;product=Nicotinate dehydrogenase subunit B -AG-313-A07_13 Prodigal:2.6 CDS 24789 25580 . - 0 ID=AG-313-A07_00508;eC_number=1.1.1.47;Name=gdhIV;gene=gdhIV;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39485;locus_tag=AG-313-A07_00508;product=Glucose 1-dehydrogenase 4 -AG-313-A07_13 Prodigal:2.6 CDS 25797 27065 . + 0 ID=AG-313-A07_00509;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00509;product=hypothetical protein -AG-313-A07_13 Prodigal:2.6 CDS 27079 27600 . + 0 ID=AG-313-A07_00510;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00510;product=hypothetical protein -AG-313-A07_13 Prodigal:2.6 CDS 27611 28402 . - 0 ID=AG-313-A07_00511;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00511;product=hypothetical protein -AG-313-A07_14 Prodigal:2.6 CDS 232 1110 . - 0 ID=AG-313-A07_00512;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00512;product=hypothetical protein -AG-313-A07_14 Prodigal:2.6 CDS 1114 2205 . - 0 ID=AG-313-A07_00513;eC_number=4.4.1.25;Name=cuyA;gene=cuyA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5LL69;locus_tag=AG-313-A07_00513;product=L-cysteate sulfo-lyase -AG-313-A07_14 Prodigal:2.6 CDS 2202 4004 . - 0 ID=AG-313-A07_00514;eC_number=3.4.24.-;Name=pepF1;gene=pepF1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54124;locus_tag=AG-313-A07_00514;product=Oligoendopeptidase F%2C plasmid -AG-313-A07_14 Prodigal:2.6 CDS 4097 5896 . + 0 ID=AG-313-A07_00515;eC_number=6.2.1.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53521;locus_tag=AG-313-A07_00515;product=Long-chain-fatty-acid--CoA ligase FadD15 -AG-313-A07_14 Prodigal:2.6 CDS 6028 6741 . + 0 ID=AG-313-A07_00516;eC_number=2.1.1.13;Name=metH_1;gene=metH_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O33259;locus_tag=AG-313-A07_00516;product=Methionine synthase -AG-313-A07_14 Prodigal:2.6 CDS 6818 7435 . + 0 ID=AG-313-A07_00517;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00517;product=hypothetical protein -AG-313-A07_14 Prodigal:2.6 CDS 7450 7764 . + 0 ID=AG-313-A07_00518;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00518;product=hypothetical protein -AG-313-A07_14 Prodigal:2.6 CDS 7796 8785 . - 0 ID=AG-313-A07_00519;eC_number=5.1.3.2;Name=galE_3;gene=galE_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09147;locus_tag=AG-313-A07_00519;product=UDP-glucose 4-epimerase -AG-313-A07_14 Prodigal:2.6 CDS 9080 12556 . + 0 ID=AG-313-A07_00520;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00520;product=hypothetical protein -AG-313-A07_14 Prodigal:2.6 CDS 12583 12993 . - 0 ID=AG-313-A07_00521;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZM36;locus_tag=AG-313-A07_00521;product=Virulence protein -AG-313-A07_14 Prodigal:2.6 CDS 13089 13928 . + 0 ID=AG-313-A07_00522;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00522;product=hypothetical protein -AG-313-A07_14 Prodigal:2.6 CDS 13960 15042 . + 0 ID=AG-313-A07_00523;eC_number=4.2.1.156;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZL58;locus_tag=AG-313-A07_00523;product=L-talarate/galactarate dehydratase -AG-313-A07_14 Prodigal:2.6 CDS 15065 15835 . - 0 ID=AG-313-A07_00524;eC_number=4.2.1.150;Name=crt_2;gene=crt_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P52046;locus_tag=AG-313-A07_00524;product=Short-chain-enoyl-CoA hydratase -AG-313-A07_14 Prodigal:2.6 CDS 15832 16611 . - 0 ID=AG-313-A07_00525;Name=cinA;gene=cinA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54184;locus_tag=AG-313-A07_00525;product=Putative competence-damage inducible protein -AG-313-A07_14 Prodigal:2.6 CDS 16663 17373 . + 0 ID=AG-313-A07_00526;Name=sfsA;gene=sfsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A823;locus_tag=AG-313-A07_00526;product=Sugar fermentation stimulation protein A -AG-313-A07_14 Prodigal:2.6 CDS 17415 18710 . - 0 ID=AG-313-A07_00527;eC_number=4.3.2.2;Name=purB;gene=purB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12047;locus_tag=AG-313-A07_00527;product=Adenylosuccinate lyase -AG-313-A07_14 Prodigal:2.6 CDS 18930 20240 . + 0 ID=AG-313-A07_00528;eC_number=2.6.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:H8WR05;locus_tag=AG-313-A07_00528;product=Beta-phenylalanine transaminase -AG-313-A07_14 Prodigal:2.6 CDS 20287 21060 . - 0 ID=AG-313-A07_00529;eC_number=4.1.3.16;Name=proA_2;gene=proA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AQI0;locus_tag=AG-313-A07_00529;product=4-hydroxy-4-methyl-2-oxoglutarate aldolase/4-carboxy-4-hydroxy-2-oxoadipate aldolase -AG-313-A07_14 Prodigal:2.6 CDS 21224 22456 . + 0 ID=AG-313-A07_00530;Name=yhjX_5;gene=yhjX_5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37662;locus_tag=AG-313-A07_00530;product=putative MFS-type transporter YhjX -AG-313-A07_14 Prodigal:2.6 CDS 22512 24983 . + 0 ID=AG-313-A07_00531;eC_number=1.5.3.19;Name=abo_2;gene=abo_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAI3;locus_tag=AG-313-A07_00531;product=4-methylaminobutanoate oxidase (formaldehyde-forming) -AG-313-A07_14 Prodigal:2.6 CDS 25031 26578 . - 0 ID=AG-313-A07_00532;eC_number=4.2.1.42;Name=garD_1;gene=garD_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39829;locus_tag=AG-313-A07_00532;product=Galactarate dehydratase (L-threo-forming) -AG-313-A07_14 Prodigal:2.6 CDS 26670 27569 . - 0 ID=AG-313-A07_00533;Name=mdtG;gene=mdtG;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01528;locus_tag=AG-313-A07_00533;product=Multidrug resistance protein MdtG -AG-313-A07_15 Prodigal:2.6 CDS 1053 1838 . - 0 ID=AG-313-A07_00534;eC_number=3.1.3.5;Name=surE;gene=surE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B2S5B9;locus_tag=AG-313-A07_00534;product=5'-nucleotidase SurE -AG-313-A07_15 Prodigal:2.6 CDS 1956 2744 . + 0 ID=AG-313-A07_00535;eC_number=1.1.1.163;Name=cpnA_5;gene=cpnA_5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAV9;locus_tag=AG-313-A07_00535;product=Cyclopentanol dehydrogenase -AG-313-A07_15 Prodigal:2.6 CDS 2769 3533 . + 0 ID=AG-313-A07_00536;eC_number=1.1.1.100;Name=fabG_8;gene=fabG_8;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KQH7;locus_tag=AG-313-A07_00536;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A07_15 Prodigal:2.6 CDS 3543 4592 . + 0 ID=AG-313-A07_00537;eC_number=2.7.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WI99;locus_tag=AG-313-A07_00537;product=Putative aminoglycoside phosphotransferase -AG-313-A07_15 Prodigal:2.6 CDS 4671 5876 . - 0 ID=AG-313-A07_00538;eC_number=1.3.8.3;Name=bbsG;gene=bbsG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KJE8;locus_tag=AG-313-A07_00538;product=(R)-benzylsuccinyl-CoA dehydrogenase -AG-313-A07_15 Prodigal:2.6 CDS 5908 7041 . - 0 ID=AG-313-A07_00539;eC_number=1.3.1.95;Name=acrC_1;gene=acrC_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:G3KIM8;locus_tag=AG-313-A07_00539;product=Acryloyl-CoA reductase (NADH) -AG-313-A07_15 Prodigal:2.6 CDS 7110 8306 . - 0 ID=AG-313-A07_00540;eC_number=1.3.8.11;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2LQP0;locus_tag=AG-313-A07_00540;product=Cyclohexane-1-carbonyl-CoA dehydrogenase -AG-313-A07_15 Prodigal:2.6 CDS 8316 9497 . - 0 ID=AG-313-A07_00541;eC_number=2.3.1.16;Name=fadA;gene=fadA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32177;locus_tag=AG-313-A07_00541;product=3-ketoacyl-CoA thiolase -AG-313-A07_15 Prodigal:2.6 CDS 9552 10520 . - 0 ID=AG-313-A07_00542;eC_number=3.1.1.1;Name=nlhH;gene=nlhH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WK87;locus_tag=AG-313-A07_00542;product=Carboxylesterase NlhH -AG-313-A07_15 Prodigal:2.6 CDS 10775 11950 . + 0 ID=AG-313-A07_00543;eC_number=3.-.-.-;Name=yxeP_1;gene=yxeP_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54955;locus_tag=AG-313-A07_00543;product=putative hydrolase YxeP -AG-313-A07_15 Prodigal:2.6 CDS 12221 13093 . + 0 ID=AG-313-A07_00544;eC_number=1.2.99.2;Name=cutM;gene=cutM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19914;locus_tag=AG-313-A07_00544;product=Carbon monoxide dehydrogenase medium chain -AG-313-A07_15 Prodigal:2.6 CDS 13096 13578 . + 0 ID=AG-313-A07_00545;eC_number=1.2.99.2;Name=cutS;gene=cutS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19915;locus_tag=AG-313-A07_00545;product=Carbon monoxide dehydrogenase small chain -AG-313-A07_15 Prodigal:2.6 CDS 13575 15854 . + 0 ID=AG-313-A07_00546;eC_number=1.17.1.4;Name=xdhA;gene=xdhA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q46799;locus_tag=AG-313-A07_00546;product=Xanthine dehydrogenase molybdenum-binding subunit -AG-313-A07_15 Prodigal:2.6 CDS 15870 16121 . + 0 ID=AG-313-A07_00547;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00547;product=hypothetical protein -AG-313-A07_15 Prodigal:2.6 CDS 16124 16867 . - 0 ID=AG-313-A07_00548;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00548;product=hypothetical protein -AG-313-A07_15 Prodigal:2.6 CDS 17096 18022 . + 0 ID=AG-313-A07_00549;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00549;product=hypothetical protein -AG-313-A07_15 Prodigal:2.6 CDS 18015 18788 . + 0 ID=AG-313-A07_00550;eC_number=4.2.1.149;Name=caiD;gene=caiD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GB17;locus_tag=AG-313-A07_00550;product=Carnitinyl-CoA dehydratase -AG-313-A07_15 Prodigal:2.6 CDS 18813 19139 . - 0 ID=AG-313-A07_00551;Name=hspQ;gene=hspQ;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01194;locus_tag=AG-313-A07_00551;product=Heat shock protein HspQ -AG-313-A07_15 Prodigal:2.6 CDS 19554 20708 . - 0 ID=AG-313-A07_00552;eC_number=5.1.3.11;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8DZK4;locus_tag=AG-313-A07_00552;product=Cellobiose 2-epimerase -AG-313-A07_15 Prodigal:2.6 CDS 21554 23053 . + 0 ID=AG-313-A07_00553;eC_number=2.7.1.30;Name=glpK;gene=glpK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O86033;locus_tag=AG-313-A07_00553;product=Glycerol kinase -AG-313-A07_15 Prodigal:2.6 CDS 23089 24138 . + 0 ID=AG-313-A07_00554;eC_number=1.-.-.-;Name=pht4;gene=pht4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q05184;locus_tag=AG-313-A07_00554;product=Putative 4%2C5-dihydroxyphthalate dehydrogenase -AG-313-A07_15 Prodigal:2.6 CDS 24156 25826 . - 0 ID=AG-313-A07_00555;eC_number=4.1.1.7;Name=mdlC;gene=mdlC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P20906;locus_tag=AG-313-A07_00555;product=Benzoylformate decarboxylase -AG-313-A07_15 Prodigal:2.6 CDS 25943 27025 . - 0 ID=AG-313-A07_00556;eC_number=1.1.98.2;Name=fgd;gene=fgd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0QQJ4;locus_tag=AG-313-A07_00556;product=F420-dependent glucose-6-phosphate dehydrogenase -AG-313-A07_16 Prodigal:2.6 CDS 728 1102 . + 0 ID=AG-313-A07_00557;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00557;product=hypothetical protein -AG-313-A07_16 Prodigal:2.6 CDS 1229 2056 . - 0 ID=AG-313-A07_00558;eC_number=3.1.1.-;Name=ytnP;gene=ytnP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34760;locus_tag=AG-313-A07_00558;product=putative quorum-quenching lactonase YtnP -AG-313-A07_16 Prodigal:2.6 CDS 2462 3304 . - 0 ID=AG-313-A07_00559;eC_number=1.14.11.-;Name=ectD_2;gene=ectD_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2TDY4;locus_tag=AG-313-A07_00559;product=Ectoine dioxygenase -AG-313-A07_16 Prodigal:2.6 CDS 3605 3784 . + 0 ID=AG-313-A07_00560;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00560;product=hypothetical protein -AG-313-A07_16 Prodigal:2.6 CDS 3838 4557 . + 0 ID=AG-313-A07_00561;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00561;product=hypothetical protein -AG-313-A07_16 Prodigal:2.6 CDS 4845 5315 . + 0 ID=AG-313-A07_00562;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00562;product=hypothetical protein -AG-313-A07_16 Prodigal:2.6 CDS 5355 6194 . + 0 ID=AG-313-A07_00563;eC_number=3.-.-.-;Name=ydjP_2;gene=ydjP_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34592;locus_tag=AG-313-A07_00563;product=AB hydrolase superfamily protein YdjP -AG-313-A07_16 Prodigal:2.6 CDS 6195 6572 . - 0 ID=AG-313-A07_00564;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00564;product=hypothetical protein -AG-313-A07_16 Prodigal:2.6 CDS 6832 7071 . + 0 ID=AG-313-A07_00565;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00565;product=hypothetical protein -AG-313-A07_16 Prodigal:2.6 CDS 7311 8810 . + 0 ID=AG-313-A07_00566;eC_number=4.1.99.13;Name=phrB;gene=phrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9CH39;locus_tag=AG-313-A07_00566;product=(6-4) photolyase -AG-313-A07_16 Prodigal:2.6 CDS 8951 9328 . - 0 ID=AG-313-A07_00567;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00567;product=hypothetical protein -AG-313-A07_16 Prodigal:2.6 CDS 9686 10375 . - 0 ID=AG-313-A07_00568;Name=phoB_1;gene=phoB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFJ5;locus_tag=AG-313-A07_00568;product=Phosphate regulon transcriptional regulatory protein PhoB -AG-313-A07_16 Prodigal:2.6 CDS 10743 10853 . - 0 ID=AG-313-A07_00569;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00569;product=hypothetical protein -AG-313-A07_16 Prodigal:2.6 CDS 10946 11191 . + 0 ID=AG-313-A07_00570;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00570;product=hypothetical protein -AG-313-A07_16 Prodigal:2.6 CDS 11255 11530 . - 0 ID=AG-313-A07_00571;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00571;product=hypothetical protein -AG-313-A07_16 Prodigal:2.6 CDS 11722 13098 . + 0 ID=AG-313-A07_00572;eC_number=4.1.1.-;Name=bsdC;gene=bsdC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P94405;locus_tag=AG-313-A07_00572;product=Phenolic acid decarboxylase subunit C -AG-313-A07_16 Prodigal:2.6 CDS 13219 14295 . - 0 ID=AG-313-A07_00573;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8YSQ6;locus_tag=AG-313-A07_00573;product=Monocarboxylate 2-oxoacid-binding periplasmic protein -AG-313-A07_16 Prodigal:2.6 CDS 14642 15088 . + 0 ID=AG-313-A07_00574;eC_number=4.2.1.10;Name=aroQ;gene=aroQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15474;locus_tag=AG-313-A07_00574;product=3-dehydroquinate dehydratase -AG-313-A07_16 Prodigal:2.6 CDS 15113 15556 . + 0 ID=AG-313-A07_00575;Name=accB;gene=accB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABD8;locus_tag=AG-313-A07_00575;product=Biotin carboxyl carrier protein of acetyl-CoA carboxylase -AG-313-A07_16 Prodigal:2.6 CDS 15593 16933 . + 0 ID=AG-313-A07_00576;eC_number=6.3.4.14;Name=accC;gene=accC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P43873;locus_tag=AG-313-A07_00576;product=Biotin carboxylase -AG-313-A07_16 Prodigal:2.6 CDS 16973 17629 . + 0 ID=AG-313-A07_00577;eC_number=2.3.2.6;Name=aat;gene=aat;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8P1;locus_tag=AG-313-A07_00577;product=Leucyl/phenylalanyl-tRNA--protein transferase -AG-313-A07_16 Prodigal:2.6 CDS 17557 18039 . - 0 ID=AG-313-A07_00578;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00578;product=hypothetical protein -AG-313-A07_16 Prodigal:2.6 CDS 18061 18516 . - 0 ID=AG-313-A07_00579;Name=mlaD;gene=mlaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64604;locus_tag=AG-313-A07_00579;product=putative phospholipid ABC transporter-binding protein MlaD -AG-313-A07_16 Prodigal:2.6 CDS 19184 22879 . + 0 ID=AG-313-A07_00580;eC_number=1.17.4.1;Name=nrdJ;gene=nrdJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O69981;locus_tag=AG-313-A07_00580;product=Vitamin B12-dependent ribonucleotide reductase -AG-313-A07_16 Prodigal:2.6 CDS 23239 24087 . - 0 ID=AG-313-A07_00581;eC_number=3.1.1.15;Name=araB;gene=araB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1JUP5;locus_tag=AG-313-A07_00581;product=L-arabinolactonase -AG-313-A07_16 Prodigal:2.6 CDS 24213 25229 . + 0 ID=AG-313-A07_00582;eC_number=1.14.14.-;Name=tsaM1;gene=tsaM1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P94679;locus_tag=AG-313-A07_00582;product=Toluene-4-sulfonate monooxygenase system iron-sulfur subunit TsaM1 -AG-313-A07_17 Prodigal:2.6 CDS 5 1714 . + 0 ID=AG-313-A07_00583;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9WYC4;locus_tag=AG-313-A07_00583;product=putative ABC transporter ATP-binding protein -AG-313-A07_17 Prodigal:2.6 CDS 1727 3376 . - 0 ID=AG-313-A07_00584;eC_number=6.2.1.3;Name=lcfB_2;gene=lcfB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O07610;locus_tag=AG-313-A07_00584;product=Long-chain-fatty-acid--CoA ligase -AG-313-A07_17 Prodigal:2.6 CDS 3386 4138 . - 0 ID=AG-313-A07_00585;eC_number=4.2.1.150;Name=crt_3;gene=crt_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P52046;locus_tag=AG-313-A07_00585;product=Short-chain-enoyl-CoA hydratase -AG-313-A07_17 Prodigal:2.6 CDS 4280 5260 . + 0 ID=AG-313-A07_00586;eC_number=1.3.1.103;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q59I44;locus_tag=AG-313-A07_00586;product=2-haloacrylate reductase -AG-313-A07_17 Prodigal:2.6 CDS 5375 5797 . + 0 ID=AG-313-A07_00587;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00587;product=hypothetical protein -AG-313-A07_17 Prodigal:2.6 CDS 6037 6495 . + 0 ID=AG-313-A07_00588;Name=rplM;gene=rplM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N651;locus_tag=AG-313-A07_00588;product=50S ribosomal protein L13 -AG-313-A07_17 Prodigal:2.6 CDS 6498 7049 . + 0 ID=AG-313-A07_00589;Name=rpsI;gene=rpsI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N650;locus_tag=AG-313-A07_00589;product=30S ribosomal protein S9 -AG-313-A07_17 Prodigal:2.6 CDS 7265 9043 . - 0 ID=AG-313-A07_00590;eC_number=4.2.1.25;Name=araC_2;gene=araC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1JUQ1;locus_tag=AG-313-A07_00590;product=L-arabonate dehydratase -AG-313-A07_17 Prodigal:2.6 CDS 9294 9989 . - 0 ID=AG-313-A07_00591;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00591;product=hypothetical protein -AG-313-A07_17 Prodigal:2.6 CDS 10056 10760 . - 0 ID=AG-313-A07_00592;eC_number=1.1.1.100;Name=fabG_9;gene=fabG_9;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P50941;locus_tag=AG-313-A07_00592;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A07_17 Prodigal:2.6 CDS 11077 11871 . + 0 ID=AG-313-A07_00593;eC_number=1.1.1.268;Name=xecD;gene=xecD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q56840;locus_tag=AG-313-A07_00593;product=2-(R)-hydroxypropyl-CoM dehydrogenase -AG-313-A07_17 Prodigal:2.6 CDS 11941 13527 . - 0 ID=AG-313-A07_00594;eC_number=1.1.99.-;Name=alkJ_2;gene=alkJ_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q00593;locus_tag=AG-313-A07_00594;product=Alcohol dehydrogenase [acceptor] -AG-313-A07_17 Prodigal:2.6 CDS 13750 14775 . + 0 ID=AG-313-A07_00595;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00595;product=hypothetical protein -AG-313-A07_17 Prodigal:2.6 CDS 14881 15966 . + 0 ID=AG-313-A07_00596;Name=yiaD;gene=yiaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37665;locus_tag=AG-313-A07_00596;product=putative lipoprotein YiaD -AG-313-A07_17 Prodigal:2.6 CDS 16051 17352 . + 0 ID=AG-313-A07_00597;eC_number=1.1.1.3;Name=hom;gene=hom;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08499;locus_tag=AG-313-A07_00597;product=Homoserine dehydrogenase -AG-313-A07_17 Prodigal:2.6 CDS 17383 18384 . + 0 ID=AG-313-A07_00598;eC_number=3.1.3.11;Name=glpX;gene=glpX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q03224;locus_tag=AG-313-A07_00598;product=Fructose-1%2C6-bisphosphatase class 2 -AG-313-A07_17 Prodigal:2.6 CDS 18393 20171 . + 0 ID=AG-313-A07_00599;eC_number=3.1.-.-;Name=recJ;gene=recJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21893;locus_tag=AG-313-A07_00599;product=Single-stranded-DNA-specific exonuclease RecJ -AG-313-A07_17 Aragorn:1.2 tRNA 20333 20408 . + . ID=AG-313-A07_00600;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_00600;product=tRNA-Glu(ttc) -AG-313-A07_17 Prodigal:2.6 CDS 20604 20984 . - 0 ID=AG-313-A07_00601;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00601;product=hypothetical protein -AG-313-A07_17 Prodigal:2.6 CDS 21091 21423 . + 0 ID=AG-313-A07_00602;Name=esiB;gene=esiB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0A0H2VDN9;locus_tag=AG-313-A07_00602;product=Secretory immunoglobulin A-binding protein EsiB -AG-313-A07_17 Prodigal:2.6 CDS 21942 22181 . + 0 ID=AG-313-A07_00603;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00603;product=hypothetical protein -AG-313-A07_17 Prodigal:2.6 CDS 22380 23543 . + 0 ID=AG-313-A07_00604;eC_number=5.5.1.-;Name=gci_2;gene=gci_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9CEQ8;locus_tag=AG-313-A07_00604;product=D-galactarolactone cycloisomerase -AG-313-A07_17 Prodigal:2.6 CDS 23540 24841 . - 0 ID=AG-313-A07_00605;eC_number=4.1.1.86;Name=ddc;gene=ddc;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P71362;locus_tag=AG-313-A07_00605;product=L-2%2C4-diaminobutyrate decarboxylase -AG-313-A07_17 Prodigal:2.6 CDS 24786 25103 . - 0 ID=AG-313-A07_00606;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00606;product=hypothetical protein -AG-313-A07_18 Prodigal:2.6 CDS 103 777 . - 0 ID=AG-313-A07_00607;eC_number=3.6.1.-;Name=nudL;gene=nudL;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01592;locus_tag=AG-313-A07_00607;product=putative Nudix hydrolase NudL -AG-313-A07_18 Prodigal:2.6 CDS 729 1319 . - 0 ID=AG-313-A07_00608;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00608;product=hypothetical protein -AG-313-A07_18 Prodigal:2.6 CDS 1415 2830 . - 0 ID=AG-313-A07_00609;eC_number=2.7.1.40;Name=ttuE;gene=ttuE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q44473;locus_tag=AG-313-A07_00609;product=Pyruvate kinase -AG-313-A07_18 Prodigal:2.6 CDS 2967 3803 . - 0 ID=AG-313-A07_00610;eC_number=1.14.14.5;Name=ssuD_1;gene=ssuD_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40402;locus_tag=AG-313-A07_00610;product=Alkanesulfonate monooxygenase -AG-313-A07_18 Prodigal:2.6 CDS 3976 5151 . + 0 ID=AG-313-A07_00611;eC_number=3.1.1.-;Name=estB;gene=estB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KX40;locus_tag=AG-313-A07_00611;product=Esterase EstB -AG-313-A07_18 Prodigal:2.6 CDS 5214 6200 . + 0 ID=AG-313-A07_00612;eC_number=1.13.12.19;Name=efe_2;gene=efe_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7BS32;locus_tag=AG-313-A07_00612;product=2-oxoglutarate-dependent ethylene/succinate-forming enzyme -AG-313-A07_18 Prodigal:2.6 CDS 6283 7965 . + 0 ID=AG-313-A07_00613;eC_number=2.2.1.6;Name=ilvB1;gene=ilvB1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WG41;locus_tag=AG-313-A07_00613;product=Acetolactate synthase large subunit IlvB1 -AG-313-A07_18 Prodigal:2.6 CDS 7962 9089 . + 0 ID=AG-313-A07_00614;eC_number=1.1.1.-;Name=yjmC_1;gene=yjmC_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34736;locus_tag=AG-313-A07_00614;product=putative oxidoreductase YjmC -AG-313-A07_18 Prodigal:2.6 CDS 9122 10048 . + 0 ID=AG-313-A07_00615;Name=hpcE;gene=hpcE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37352;locus_tag=AG-313-A07_00615;product=Homoprotocatechuate catabolism bifunctional isomerase/decarboxylase -AG-313-A07_18 Prodigal:2.6 CDS 10060 11001 . + 0 ID=AG-313-A07_00616;eC_number=1.14.14.5;Name=ssuD_2;gene=ssuD_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40402;locus_tag=AG-313-A07_00616;product=Alkanesulfonate monooxygenase -AG-313-A07_18 Prodigal:2.6 CDS 11106 11309 . - 0 ID=AG-313-A07_00617;Name=rpsU;gene=rpsU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N274;locus_tag=AG-313-A07_00617;product=30S ribosomal protein S21 -AG-313-A07_18 Prodigal:2.6 CDS 11454 12038 . + 0 ID=AG-313-A07_00618;eC_number=3.5.1.88;Name=def_2;gene=def_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93LE9;locus_tag=AG-313-A07_00618;product=Peptide deformylase -AG-313-A07_18 Prodigal:2.6 CDS 12040 12660 . + 0 ID=AG-313-A07_00619;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00619;product=hypothetical protein -AG-313-A07_18 Prodigal:2.6 CDS 12828 14351 . + 0 ID=AG-313-A07_00620;Name=emrB_3;gene=emrB_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEJ0;locus_tag=AG-313-A07_00620;product=Multidrug export protein EmrB -AG-313-A07_18 Prodigal:2.6 CDS 14370 14867 . - 0 ID=AG-313-A07_00621;Name=mntR;gene=mntR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9F1;locus_tag=AG-313-A07_00621;product=Transcriptional regulator MntR -AG-313-A07_18 Prodigal:2.6 CDS 14957 15382 . - 0 ID=AG-313-A07_00622;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00622;product=hypothetical protein -AG-313-A07_18 Prodigal:2.6 CDS 15396 15845 . - 0 ID=AG-313-A07_00623;Name=sufE;gene=sufE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9EXP1;locus_tag=AG-313-A07_00623;product=Cysteine desulfuration protein SufE -AG-313-A07_18 Prodigal:2.6 CDS 15917 17041 . - 0 ID=AG-313-A07_00624;eC_number=4.1.3.41;Name=dhaa;gene=dhaa;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GRC8;locus_tag=AG-313-A07_00624;product=3-hydroxy-D-aspartate aldolase -AG-313-A07_18 Prodigal:2.6 CDS 17055 18047 . - 0 ID=AG-313-A07_00625;eC_number=3.6.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WPZ1;locus_tag=AG-313-A07_00625;product=putative GTPase -AG-313-A07_18 Prodigal:2.6 CDS 18093 20264 . - 0 ID=AG-313-A07_00626;eC_number=5.4.99.2;Name=mutB;gene=mutB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WJK5;locus_tag=AG-313-A07_00626;product=putative methylmalonyl-CoA mutase large subunit -AG-313-A07_18 Prodigal:2.6 CDS 20268 22307 . - 0 ID=AG-313-A07_00627;eC_number=5.4.99.2;Name=mutA;gene=mutA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P11652;locus_tag=AG-313-A07_00627;product=Methylmalonyl-CoA mutase small subunit -AG-313-A07_18 Prodigal:2.6 CDS 22492 23670 . - 0 ID=AG-313-A07_00628;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00628;product=hypothetical protein -AG-313-A07_18 Prodigal:2.6 CDS 23841 24509 . - 0 ID=AG-313-A07_00629;eC_number=3.4.24.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WHT5;locus_tag=AG-313-A07_00629;product=putative zinc protease -AG-313-A07_19 Prodigal:2.6 CDS 26 1630 . + 0 ID=AG-313-A07_00630;eC_number=6.6.1.2;Name=cobN;gene=cobN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29929;locus_tag=AG-313-A07_00630;product=Aerobic cobaltochelatase subunit CobN -AG-313-A07_19 Prodigal:2.6 CDS 1981 2493 . + 0 ID=AG-313-A07_00631;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00631;product=hypothetical protein -AG-313-A07_19 Prodigal:2.6 CDS 2484 3614 . + 0 ID=AG-313-A07_00632;eC_number=2.1.1.192;Name=rlmN;gene=rlmN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P36979;locus_tag=AG-313-A07_00632;product=Dual-specificity RNA methyltransferase RlmN -AG-313-A07_19 Prodigal:2.6 CDS 3736 4467 . + 0 ID=AG-313-A07_00633;Name=ybhL;gene=ybhL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AAC4;locus_tag=AG-313-A07_00633;product=Inner membrane protein YbhL -AG-313-A07_19 Prodigal:2.6 CDS 4633 5052 . + 0 ID=AG-313-A07_00634;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00634;product=hypothetical protein -AG-313-A07_19 Prodigal:2.6 CDS 5233 5424 . + 0 ID=AG-313-A07_00635;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00635;product=hypothetical protein -AG-313-A07_19 Prodigal:2.6 CDS 5482 5967 . - 0 ID=AG-313-A07_00636;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00636;product=hypothetical protein -AG-313-A07_19 Aragorn:1.2 tRNA 6049 6124 . - . ID=AG-313-A07_00637;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_00637;product=tRNA-Thr(cgt) -AG-313-A07_19 Prodigal:2.6 CDS 6319 6753 . + 0 ID=AG-313-A07_00638;Name=fur_2;gene=fur_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0C631;locus_tag=AG-313-A07_00638;product=Ferric uptake regulation protein -AG-313-A07_19 Prodigal:2.6 CDS 6765 8081 . - 0 ID=AG-313-A07_00639;eC_number=6.3.5.9;Name=cobB;gene=cobB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21632;locus_tag=AG-313-A07_00639;product=Hydrogenobyrinate a%2Cc-diamide synthase -AG-313-A07_19 Prodigal:2.6 CDS 8088 8921 . - 0 ID=AG-313-A07_00640;eC_number=2.1.1.107;Name=cobA;gene=cobA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21631;locus_tag=AG-313-A07_00640;product=Uroporphyrinogen-III C-methyltransferase -AG-313-A07_19 Prodigal:2.6 CDS 9021 9851 . + 0 ID=AG-313-A07_00641;Name=phoB_2;gene=phoB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFJ5;locus_tag=AG-313-A07_00641;product=Phosphate regulon transcriptional regulatory protein PhoB -AG-313-A07_19 Prodigal:2.6 CDS 9844 10134 . - 0 ID=AG-313-A07_00642;eC_number=4.2.1.96;Name=phhB;gene=phhB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P65722;locus_tag=AG-313-A07_00642;product=Putative pterin-4-alpha-carbinolamine dehydratase -AG-313-A07_19 Prodigal:2.6 CDS 10160 11620 . - 0 ID=AG-313-A07_00643;eC_number=3.5.1.13;Name=aam_2;gene=aam_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:K9NBS6;locus_tag=AG-313-A07_00643;product=Acylamidase -AG-313-A07_19 Prodigal:2.6 CDS 11683 12087 . - 0 ID=AG-313-A07_00644;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00644;product=hypothetical protein -AG-313-A07_19 Prodigal:2.6 CDS 12125 12874 . - 0 ID=AG-313-A07_00645;eC_number=1.1.1.100;Name=fabG_10;gene=fabG_10;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KQH7;locus_tag=AG-313-A07_00645;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A07_19 Prodigal:2.6 CDS 12910 13674 . - 0 ID=AG-313-A07_00646;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WGQ9;locus_tag=AG-313-A07_00646;product=putative oxidoreductase -AG-313-A07_19 Prodigal:2.6 CDS 13700 14878 . - 0 ID=AG-313-A07_00647;eC_number=2.8.3.19;Name=uctC_4;gene=uctC_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9X6P9;locus_tag=AG-313-A07_00647;product=Acetyl-CoA:oxalate CoA-transferase -AG-313-A07_19 Prodigal:2.6 CDS 15017 16246 . + 0 ID=AG-313-A07_00648;eC_number=2.6.1.39;Name=lysN;gene=lysN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q72LL6;locus_tag=AG-313-A07_00648;product=2-aminoadipate transaminase -AG-313-A07_19 Prodigal:2.6 CDS 16252 17487 . + 0 ID=AG-313-A07_00649;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00649;product=hypothetical protein -AG-313-A07_19 Prodigal:2.6 CDS 17510 18700 . - 0 ID=AG-313-A07_00650;eC_number=1.3.1.95;Name=acrC_2;gene=acrC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:G3KIM8;locus_tag=AG-313-A07_00650;product=Acryloyl-CoA reductase (NADH) -AG-313-A07_19 Prodigal:2.6 CDS 18654 19856 . - 0 ID=AG-313-A07_00651;eC_number=1.3.99.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQG1;locus_tag=AG-313-A07_00651;product=putative acyl-CoA dehydrogenase fadE25 -AG-313-A07_19 Prodigal:2.6 CDS 19880 21136 . - 0 ID=AG-313-A07_00652;eC_number=1.3.99.-;Name=fadE;gene=fadE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32176;locus_tag=AG-313-A07_00652;product=putative acyl-CoA dehydrogenase -AG-313-A07_19 Prodigal:2.6 CDS 21148 22278 . - 0 ID=AG-313-A07_00653;eC_number=1.3.99.-;Name=mmgC_2;gene=mmgC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45857;locus_tag=AG-313-A07_00653;product=Acyl-CoA dehydrogenase -AG-313-A07_20 Prodigal:2.6 CDS 38 1177 . + 0 ID=AG-313-A07_00654;Name=rpsA;gene=rpsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NDP1;locus_tag=AG-313-A07_00654;product=30S ribosomal protein S1 -AG-313-A07_20 Prodigal:2.6 CDS 1315 1593 . + 0 ID=AG-313-A07_00655;Name=ihfB;gene=ihfB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q06607;locus_tag=AG-313-A07_00655;product=Integration host factor subunit beta -AG-313-A07_20 Prodigal:2.6 CDS 1667 2302 . + 0 ID=AG-313-A07_00656;Name=paiB;gene=paiB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21341;locus_tag=AG-313-A07_00656;product=Protease synthase and sporulation protein PAI 2 -AG-313-A07_20 Prodigal:2.6 CDS 2292 2561 . + 0 ID=AG-313-A07_00657;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00657;product=hypothetical protein -AG-313-A07_20 Prodigal:2.6 CDS 2606 3262 . + 0 ID=AG-313-A07_00658;eC_number=5.3.1.24;Name=trpF;gene=trpF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q56320;locus_tag=AG-313-A07_00658;product=N-(5'-phosphoribosyl)anthranilate isomerase -AG-313-A07_20 Prodigal:2.6 CDS 3344 4567 . + 0 ID=AG-313-A07_00659;eC_number=4.2.1.20;Name=trpB;gene=trpB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2KE82;locus_tag=AG-313-A07_00659;product=Tryptophan synthase beta chain -AG-313-A07_20 Prodigal:2.6 CDS 4564 5406 . + 0 ID=AG-313-A07_00660;eC_number=4.2.1.20;Name=trpA;gene=trpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67502;locus_tag=AG-313-A07_00660;product=Tryptophan synthase alpha chain -AG-313-A07_20 Prodigal:2.6 CDS 5436 6299 . + 0 ID=AG-313-A07_00661;eC_number=6.4.1.2;Name=accD;gene=accD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9Q5;locus_tag=AG-313-A07_00661;product=Acetyl-coenzyme A carboxylase carboxyl transferase subunit beta -AG-313-A07_20 Prodigal:2.6 CDS 6321 7616 . + 0 ID=AG-313-A07_00662;eC_number=6.3.2.17;Name=fgs;gene=fgs;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15925;locus_tag=AG-313-A07_00662;product=Folylpolyglutamate synthase -AG-313-A07_20 Prodigal:2.6 CDS 7639 7962 . - 0 ID=AG-313-A07_00663;Name=trxA;gene=trxA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10473;locus_tag=AG-313-A07_00663;product=Thioredoxin -AG-313-A07_20 Prodigal:2.6 CDS 8056 11529 . - 0 ID=AG-313-A07_00664;eC_number=3.1.-.-;Name=addA;gene=addA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A6H4;locus_tag=AG-313-A07_00664;product=ATP-dependent helicase/nuclease subunit A -AG-313-A07_20 Prodigal:2.6 CDS 11532 14576 . - 0 ID=AG-313-A07_00665;eC_number=3.6.4.12;Name=rexB;gene=rexB;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01453;locus_tag=AG-313-A07_00665;product=ATP-dependent helicase/deoxyribonuclease subunit B -AG-313-A07_20 Prodigal:2.6 CDS 14585 15349 . - 0 ID=AG-313-A07_00666;eC_number=2.7.7.71;Name=hddC;gene=hddC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AGY6;locus_tag=AG-313-A07_00666;product=D-glycero-alpha-D-manno-heptose 1-phosphate guanylyltransferase -AG-313-A07_20 Prodigal:2.6 CDS 15340 16392 . - 0 ID=AG-313-A07_00667;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00667;product=hypothetical protein -AG-313-A07_20 Prodigal:2.6 CDS 16389 16901 . - 0 ID=AG-313-A07_00668;Name=tsaE;gene=tsaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AF67;locus_tag=AG-313-A07_00668;product=tRNA threonylcarbamoyladenosine biosynthesis protein TsaE -AG-313-A07_20 Prodigal:2.6 CDS 17158 18840 . - 0 ID=AG-313-A07_00669;eC_number=6.4.1.8;Name=apc4_2;gene=apc4_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5P5G5;locus_tag=AG-313-A07_00669;product=Acetophenone carboxylase delta subunit -AG-313-A07_20 Prodigal:2.6 CDS 18840 20894 . - 0 ID=AG-313-A07_00670;eC_number=6.4.1.8;Name=apc3_3;gene=apc3_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5P5G4;locus_tag=AG-313-A07_00670;product=Acetophenone carboxylase gamma subunit -AG-313-A07_21 Prodigal:2.6 CDS 19 192 . + 0 ID=AG-313-A07_00671;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQJ1;locus_tag=AG-313-A07_00671;product=putative ABC transporter ATP-binding protein -AG-313-A07_21 Prodigal:2.6 CDS 223 2016 . + 0 ID=AG-313-A07_00672;Name=hlyD;gene=hlyD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09986;locus_tag=AG-313-A07_00672;product=Hemolysin secretion protein D%2C chromosomal -AG-313-A07_21 Prodigal:2.6 CDS 2072 2944 . - 0 ID=AG-313-A07_00673;eC_number=3.1.1.83;Name=mlhB;gene=mlhB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9EX73;locus_tag=AG-313-A07_00673;product=Monoterpene epsilon-lactone hydrolase -AG-313-A07_21 Aragorn:1.2 tRNA 3087 3161 . - . ID=AG-313-A07_00674;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_00674;product=tRNA-Thr(ggt) -AG-313-A07_21 Prodigal:2.6 CDS 3317 3457 . + 0 ID=AG-313-A07_00675;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00675;product=hypothetical protein -AG-313-A07_21 Prodigal:2.6 CDS 3551 4828 . + 0 ID=AG-313-A07_00676;eC_number=2.5.1.7;Name=murA;gene=murA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVW7;locus_tag=AG-313-A07_00676;product=UDP-N-acetylglucosamine 1-carboxyvinyltransferase -AG-313-A07_21 Prodigal:2.6 CDS 5210 5872 . + 0 ID=AG-313-A07_00677;eC_number=2.4.2.17;Name=hisG;gene=hisG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34520;locus_tag=AG-313-A07_00677;product=ATP phosphoribosyltransferase -AG-313-A07_21 Prodigal:2.6 CDS 5862 7151 . + 0 ID=AG-313-A07_00678;eC_number=1.1.1.23;Name=hisD;gene=hisD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8G2R2;locus_tag=AG-313-A07_00678;product=Histidinol dehydrogenase -AG-313-A07_21 Prodigal:2.6 CDS 7310 7528 . + 0 ID=AG-313-A07_00679;Name=infA;gene=infA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2YPC1;locus_tag=AG-313-A07_00679;product=Translation initiation factor IF-1 -AG-313-A07_21 Prodigal:2.6 CDS 7548 8165 . + 0 ID=AG-313-A07_00680;Name=yhdE;gene=yhdE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25536;locus_tag=AG-313-A07_00680;product=Maf-like protein YhdE -AG-313-A07_21 Prodigal:2.6 CDS 8175 9479 . + 0 ID=AG-313-A07_00681;eC_number=3.1.26.-;Name=rng;gene=rng;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9J0;locus_tag=AG-313-A07_00681;product=Ribonuclease G -AG-313-A07_21 Prodigal:2.6 CDS 9715 10620 . - 0 ID=AG-313-A07_00682;eC_number=3.5.1.-;Name=pgdA_2;gene=pgdA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B5ZA76;locus_tag=AG-313-A07_00682;product=Peptidoglycan deacetylase -AG-313-A07_21 Prodigal:2.6 CDS 10677 10958 . - 0 ID=AG-313-A07_00683;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00683;product=hypothetical protein -AG-313-A07_21 Prodigal:2.6 CDS 11303 11749 . + 0 ID=AG-313-A07_00684;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00684;product=hypothetical protein -AG-313-A07_21 Prodigal:2.6 CDS 11709 12197 . - 0 ID=AG-313-A07_00685;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00685;product=hypothetical protein -AG-313-A07_21 Prodigal:2.6 CDS 12194 12913 . - 0 ID=AG-313-A07_00686;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00686;product=hypothetical protein -AG-313-A07_21 Prodigal:2.6 CDS 12993 14159 . + 0 ID=AG-313-A07_00687;eC_number=3.6.1.63;Name=phnM;gene=phnM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P16689;locus_tag=AG-313-A07_00687;product=Alpha-D-ribose 1-methylphosphonate 5-triphosphate diphosphatase -AG-313-A07_21 Prodigal:2.6 CDS 14283 16130 . + 0 ID=AG-313-A07_00688;eC_number=2.7.7.-;Name=dnaG;gene=dnaG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABS5;locus_tag=AG-313-A07_00688;product=DNA primase -AG-313-A07_21 Prodigal:2.6 CDS 16176 18146 . + 0 ID=AG-313-A07_00689;Name=rpoD;gene=rpoD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2K619;locus_tag=AG-313-A07_00689;product=RNA polymerase sigma factor RpoD -AG-313-A07_21 Prodigal:2.6 CDS 18172 19314 . - 0 ID=AG-313-A07_00690;eC_number=5.5.1.-;Name=gci_3;gene=gci_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9CEQ8;locus_tag=AG-313-A07_00690;product=D-galactarolactone cycloisomerase -AG-313-A07_21 Prodigal:2.6 CDS 19556 20314 . + 0 ID=AG-313-A07_00691;eC_number=1.1.1.127;Name=kduD_2;gene=kduD_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P50842;locus_tag=AG-313-A07_00691;product=2-dehydro-3-deoxy-D-gluconate 5-dehydrogenase -AG-313-A07_21 Prodigal:2.6 CDS 20570 20896 . - 0 ID=AG-313-A07_00692;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00692;product=hypothetical protein -AG-313-A07_22 Prodigal:2.6 CDS 54 620 . + 0 ID=AG-313-A07_00693;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00693;product=hypothetical protein -AG-313-A07_22 Prodigal:2.6 CDS 655 2919 . - 0 ID=AG-313-A07_00694;eC_number=1.1.1.40;Name=tme;gene=tme;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O30808;locus_tag=AG-313-A07_00694;product=NADP-dependent malic enzyme -AG-313-A07_22 Prodigal:2.6 CDS 3158 5875 . + 0 ID=AG-313-A07_00695;Name=mutS;gene=mutS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A1Y0;locus_tag=AG-313-A07_00695;product=DNA mismatch repair protein MutS -AG-313-A07_22 Prodigal:2.6 CDS 5881 6144 . - 0 ID=AG-313-A07_00696;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00696;product=hypothetical protein -AG-313-A07_22 Prodigal:2.6 CDS 6191 6790 . - 0 ID=AG-313-A07_00697;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00697;product=hypothetical protein -AG-313-A07_22 Prodigal:2.6 CDS 6822 7442 . - 0 ID=AG-313-A07_00698;eC_number=3.1.3.3;Name=pspA;gene=pspA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:D3DFG8;locus_tag=AG-313-A07_00698;product=Phosphoserine phosphatase 1 -AG-313-A07_22 Prodigal:2.6 CDS 7463 8251 . - 0 ID=AG-313-A07_00699;eC_number=2.7.8.26;Name=cobS;gene=cobS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P36561;locus_tag=AG-313-A07_00699;product=Adenosylcobinamide-GDP ribazoletransferase -AG-313-A07_22 Prodigal:2.6 CDS 8354 9403 . + 0 ID=AG-313-A07_00700;eC_number=2.4.2.21;Name=cobU;gene=cobU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29935;locus_tag=AG-313-A07_00700;product=Nicotinate-nucleotide--dimethylbenzimidazole phosphoribosyltransferase -AG-313-A07_22 Prodigal:2.6 CDS 9445 9651 . - 0 ID=AG-313-A07_00701;Name=cspA;gene=cspA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9Z3S6;locus_tag=AG-313-A07_00701;product=Cold shock protein CspA -AG-313-A07_22 Prodigal:2.6 CDS 9873 11057 . + 0 ID=AG-313-A07_00702;eC_number=2.8.3.19;Name=uctC_5;gene=uctC_5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9X6P9;locus_tag=AG-313-A07_00702;product=Acetyl-CoA:oxalate CoA-transferase -AG-313-A07_22 Prodigal:2.6 CDS 11124 11918 . + 0 ID=AG-313-A07_00703;eC_number=4.2.1.150;Name=crt_4;gene=crt_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P52046;locus_tag=AG-313-A07_00703;product=Short-chain-enoyl-CoA hydratase -AG-313-A07_22 Prodigal:2.6 CDS 12019 13248 . + 0 ID=AG-313-A07_00704;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00704;product=hypothetical protein -AG-313-A07_22 Prodigal:2.6 CDS 13282 14061 . - 0 ID=AG-313-A07_00705;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00705;product=hypothetical protein -AG-313-A07_22 Prodigal:2.6 CDS 14176 15054 . - 0 ID=AG-313-A07_00706;eC_number=3.5.1.29;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q988D4;locus_tag=AG-313-A07_00706;product=2-(acetamidomethylene)succinate hydrolase -AG-313-A07_22 Prodigal:2.6 CDS 15198 15830 . - 0 ID=AG-313-A07_00707;eC_number=4.1.2.17;Name=fucA;gene=fucA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AB87;locus_tag=AG-313-A07_00707;product=L-fuculose phosphate aldolase -AG-313-A07_22 Prodigal:2.6 CDS 15905 17023 . - 0 ID=AG-313-A07_00708;eC_number=2.8.3.19;Name=yfdE_3;gene=yfdE_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76518;locus_tag=AG-313-A07_00708;product=Acetyl-CoA:oxalate CoA-transferase -AG-313-A07_22 Prodigal:2.6 CDS 17053 17487 . - 0 ID=AG-313-A07_00709;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00709;product=hypothetical protein -AG-313-A07_22 Prodigal:2.6 CDS 17580 18635 . + 0 ID=AG-313-A07_00710;eC_number=1.1.1.1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P42328;locus_tag=AG-313-A07_00710;product=Alcohol dehydrogenase -AG-313-A07_22 Prodigal:2.6 CDS 18666 19367 . - 0 ID=AG-313-A07_00711;Name=livF_1;gene=livF_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P22731;locus_tag=AG-313-A07_00711;product=High-affinity branched-chain amino acid transport ATP-binding protein LivF -AG-313-A07_22 Prodigal:2.6 CDS 19370 19690 . - 0 ID=AG-313-A07_00712;eC_number=3.6.3.-;Name=lptB_1;gene=lptB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45073;locus_tag=AG-313-A07_00712;product=Lipopolysaccharide export system ATP-binding protein LptB -AG-313-A07_23 Prodigal:2.6 CDS 55 1476 . + 0 ID=AG-313-A07_00713;eC_number=3.6.4.-;Name=priA;gene=priA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17888;locus_tag=AG-313-A07_00713;product=Primosomal protein N' -AG-313-A07_23 Prodigal:2.6 CDS 1706 2257 . + 0 ID=AG-313-A07_00714;Name=atpH;gene=atpH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P72244;locus_tag=AG-313-A07_00714;product=ATP synthase subunit delta -AG-313-A07_23 Prodigal:2.6 CDS 2257 3792 . + 0 ID=AG-313-A07_00715;eC_number=3.6.3.14;Name=atpA;gene=atpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05036;locus_tag=AG-313-A07_00715;product=ATP synthase subunit alpha -AG-313-A07_23 Prodigal:2.6 CDS 3829 4704 . + 0 ID=AG-313-A07_00716;Name=atpG;gene=atpG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P72246;locus_tag=AG-313-A07_00716;product=ATP synthase gamma chain -AG-313-A07_23 Prodigal:2.6 CDS 4766 6193 . + 0 ID=AG-313-A07_00717;eC_number=3.6.3.14;Name=atpD;gene=atpD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05038;locus_tag=AG-313-A07_00717;product=ATP synthase subunit beta -AG-313-A07_23 Prodigal:2.6 CDS 6223 6636 . + 0 ID=AG-313-A07_00718;Name=atpC;gene=atpC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P72248;locus_tag=AG-313-A07_00718;product=ATP synthase epsilon chain -AG-313-A07_23 Prodigal:2.6 CDS 6969 7715 . + 0 ID=AG-313-A07_00719;eC_number=1.1.1.47;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40288;locus_tag=AG-313-A07_00719;product=Glucose 1-dehydrogenase -AG-313-A07_23 Prodigal:2.6 CDS 7756 8703 . + 0 ID=AG-313-A07_00720;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00720;product=hypothetical protein -AG-313-A07_23 Prodigal:2.6 CDS 8806 9900 . - 0 ID=AG-313-A07_00721;eC_number=3.6.3.40;Name=tagH;gene=tagH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A713;locus_tag=AG-313-A07_00721;product=Teichoic acids export ATP-binding protein TagH -AG-313-A07_23 Prodigal:2.6 CDS 9912 10736 . - 0 ID=AG-313-A07_00722;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00722;product=hypothetical protein -AG-313-A07_23 Prodigal:2.6 CDS 10971 11762 . + 0 ID=AG-313-A07_00723;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00723;product=hypothetical protein -AG-313-A07_23 Prodigal:2.6 CDS 11845 14940 . + 0 ID=AG-313-A07_00724;Name=kfoC;gene=kfoC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8L0V4;locus_tag=AG-313-A07_00724;product=Chondroitin synthase -AG-313-A07_23 Prodigal:2.6 CDS 14941 16014 . + 0 ID=AG-313-A07_00725;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00725;product=hypothetical protein -AG-313-A07_23 Prodigal:2.6 CDS 16123 17229 . + 0 ID=AG-313-A07_00726;eC_number=3.4.24.-;Name=kly;gene=kly;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:D0EM77;locus_tag=AG-313-A07_00726;product=Karilysin -AG-313-A07_23 Prodigal:2.6 CDS 17434 17745 . + 0 ID=AG-313-A07_00727;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00727;product=hypothetical protein -AG-313-A07_24 Prodigal:2.6 CDS 41 1555 . + 0 ID=AG-313-A07_00728;eC_number=3.6.3.-;Name=gsiA_1;gene=gsiA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75796;locus_tag=AG-313-A07_00728;product=Glutathione import ATP-binding protein GsiA -AG-313-A07_24 Prodigal:2.6 CDS 1552 3477 . + 0 ID=AG-313-A07_00729;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9RU24;locus_tag=AG-313-A07_00729;product=putative ABC transporter-binding protein -AG-313-A07_24 Prodigal:2.6 CDS 3484 4482 . + 0 ID=AG-313-A07_00730;Name=dppB_2;gene=dppB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEF8;locus_tag=AG-313-A07_00730;product=Dipeptide transport system permease protein DppB -AG-313-A07_24 Prodigal:2.6 CDS 4479 5627 . + 0 ID=AG-313-A07_00731;Name=oppC;gene=oppC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08006;locus_tag=AG-313-A07_00731;product=Oligopeptide transport system permease protein OppC -AG-313-A07_24 Prodigal:2.6 CDS 5634 6611 . - 0 ID=AG-313-A07_00732;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00732;product=hypothetical protein -AG-313-A07_24 Prodigal:2.6 CDS 6927 7766 . + 0 ID=AG-313-A07_00733;eC_number=6.3.2.1;Name=panC;gene=panC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZRR1;locus_tag=AG-313-A07_00733;product=Pantothenate synthetase -AG-313-A07_24 Prodigal:2.6 CDS 7771 9717 . - 0 ID=AG-313-A07_00734;eC_number=6.2.1.1;Name=acsA_3;gene=acsA_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q89WV5;locus_tag=AG-313-A07_00734;product=Acetyl-coenzyme A synthetase -AG-313-A07_24 Prodigal:2.6 CDS 9972 10355 . + 0 ID=AG-313-A07_00735;Name=sdhC;gene=sdhC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69054;locus_tag=AG-313-A07_00735;product=Succinate dehydrogenase cytochrome b556 subunit -AG-313-A07_24 Prodigal:2.6 CDS 10370 10753 . + 0 ID=AG-313-A07_00736;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00736;product=hypothetical protein -AG-313-A07_24 Prodigal:2.6 CDS 10766 12556 . + 0 ID=AG-313-A07_00737;eC_number=1.3.5.1;Name=sdhA;gene=sdhA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC41;locus_tag=AG-313-A07_00737;product=Succinate dehydrogenase flavoprotein subunit -AG-313-A07_24 Prodigal:2.6 CDS 12595 13374 . + 0 ID=AG-313-A07_00738;eC_number=1.3.5.1;Name=sdhB;gene=sdhB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07014;locus_tag=AG-313-A07_00738;product=Succinate dehydrogenase iron-sulfur subunit -AG-313-A07_24 Prodigal:2.6 CDS 13536 15266 . + 0 ID=AG-313-A07_00739;eC_number=2.2.1.6;Name=ilvB_2;gene=ilvB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37251;locus_tag=AG-313-A07_00739;product=Acetolactate synthase large subunit -AG-313-A07_24 Prodigal:2.6 CDS 15322 16086 . - 0 ID=AG-313-A07_00740;eC_number=3.5.1.94;Name=puuD;gene=puuD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76038;locus_tag=AG-313-A07_00740;product=Gamma-glutamyl-gamma-aminobutyrate hydrolase PuuD -AG-313-A07_24 Prodigal:2.6 CDS 16300 16929 . + 0 ID=AG-313-A07_00741;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00741;product=hypothetical protein -AG-313-A07_24 Prodigal:2.6 CDS 16930 17559 . - 0 ID=AG-313-A07_00742;Name=lolA;gene=lolA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I0M4;locus_tag=AG-313-A07_00742;product=Outer-membrane lipoprotein carrier protein -AG-313-A07_24 Prodigal:2.6 CDS 17599 18858 . - 0 ID=AG-313-A07_00743;Name=ftsK;gene=ftsK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I0M3;locus_tag=AG-313-A07_00743;product=DNA translocase FtsK -AG-313-A07_25 Prodigal:2.6 CDS 79 927 . + 0 ID=AG-313-A07_00744;eC_number=1.3.5.4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P83223;locus_tag=AG-313-A07_00744;product=Fumarate reductase flavoprotein subunit -AG-313-A07_25 Prodigal:2.6 CDS 957 1826 . + 0 ID=AG-313-A07_00745;eC_number=1.14.99.46;Name=rutA_2;gene=rutA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75898;locus_tag=AG-313-A07_00745;product=Pyrimidine monooxygenase RutA -AG-313-A07_25 Prodigal:2.6 CDS 1880 2668 . - 0 ID=AG-313-A07_00746;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SK82;locus_tag=AG-313-A07_00746;product=Lactate-binding periplasmic protein -AG-313-A07_25 Prodigal:2.6 CDS 2689 3096 . - 0 ID=AG-313-A07_00747;eC_number=1.1.5.3;Name=glpB;gene=glpB;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00753;locus_tag=AG-313-A07_00747;product=Anaerobic glycerol-3-phosphate dehydrogenase subunit B -AG-313-A07_25 Prodigal:2.6 CDS 3188 3823 . - 0 ID=AG-313-A07_00748;Name=yibF_2;gene=yibF_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACA1;locus_tag=AG-313-A07_00748;product=putative GST-like protein YibF -AG-313-A07_25 Prodigal:2.6 CDS 3948 4817 . + 0 ID=AG-313-A07_00749;eC_number=4.1.3.6;Name=citE_2;gene=citE_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17725;locus_tag=AG-313-A07_00749;product=Citrate lyase subunit beta -AG-313-A07_25 Prodigal:2.6 CDS 4907 6421 . - 0 ID=AG-313-A07_00750;eC_number=4.3.1.19;Name=ilvA;gene=ilvA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04968;locus_tag=AG-313-A07_00750;product=L-threonine dehydratase biosynthetic IlvA -AG-313-A07_25 Prodigal:2.6 CDS 7006 7248 . + 0 ID=AG-313-A07_00751;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00751;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 7301 7735 . + 0 ID=AG-313-A07_00752;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WP11;locus_tag=AG-313-A07_00752;product=Putative nitroreductase -AG-313-A07_25 Prodigal:2.6 CDS 7738 8124 . + 0 ID=AG-313-A07_00753;eC_number=3.5.99.10;Name=yabJ_1;gene=yabJ_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37552;locus_tag=AG-313-A07_00753;product=2-iminobutanoate/2-iminopropanoate deaminase -AG-313-A07_25 Prodigal:2.6 CDS 8136 9365 . - 0 ID=AG-313-A07_00754;eC_number=2.8.3.22;Name=smtB_3;gene=smtB_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1KLK0;locus_tag=AG-313-A07_00754;product=Succinyl-CoA--L-malate CoA-transferase beta subunit -AG-313-A07_25 Prodigal:2.6 CDS 9365 10327 . - 0 ID=AG-313-A07_00755;eC_number=4.1.3.4;Name=yngG_2;gene=yngG_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34873;locus_tag=AG-313-A07_00755;product=Hydroxymethylglutaryl-CoA lyase YngG -AG-313-A07_25 Prodigal:2.6 CDS 10463 10852 . + 0 ID=AG-313-A07_00756;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00756;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 10913 11128 . - 0 ID=AG-313-A07_00757;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00757;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 11184 12893 . - 0 ID=AG-313-A07_00758;eC_number=3.5.1.83;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P94212;locus_tag=AG-313-A07_00758;product=N-acyl-D-aspartate deacylase -AG-313-A07_25 Prodigal:2.6 CDS 13095 13340 . + 0 ID=AG-313-A07_00759;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00759;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 13454 13669 . - 0 ID=AG-313-A07_00760;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00760;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 13877 14422 . - 0 ID=AG-313-A07_00761;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00761;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 14687 14878 . + 0 ID=AG-313-A07_00762;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00762;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 14923 15306 . + 0 ID=AG-313-A07_00763;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00763;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 15360 15563 . - 0 ID=AG-313-A07_00764;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00764;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 15743 16765 . + 0 ID=AG-313-A07_00765;eC_number=2.1.1.13;Name=metH_2;gene=metH_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O33259;locus_tag=AG-313-A07_00765;product=Methionine synthase -AG-313-A07_25 Prodigal:2.6 CDS 16762 17157 . - 0 ID=AG-313-A07_00766;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00766;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 17301 17597 . - 0 ID=AG-313-A07_00767;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00767;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 17918 18154 . + 0 ID=AG-313-A07_00768;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00768;product=hypothetical protein -AG-313-A07_25 Prodigal:2.6 CDS 18295 18459 . + 0 ID=AG-313-A07_00769;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00769;product=hypothetical protein -AG-313-A07_26 Prodigal:2.6 CDS 28 219 . + 0 ID=AG-313-A07_00770;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00770;product=hypothetical protein -AG-313-A07_26 Prodigal:2.6 CDS 741 1814 . + 0 ID=AG-313-A07_00771;eC_number=2.7.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WI99;locus_tag=AG-313-A07_00771;product=Putative aminoglycoside phosphotransferase -AG-313-A07_26 Prodigal:2.6 CDS 1907 2497 . - 0 ID=AG-313-A07_00772;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00772;product=hypothetical protein -AG-313-A07_26 Prodigal:2.6 CDS 2514 3428 . - 0 ID=AG-313-A07_00773;eC_number=3.1.1.17;Name=gnl_1;gene=gnl_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q01578;locus_tag=AG-313-A07_00773;product=Gluconolactonase -AG-313-A07_26 Prodigal:2.6 CDS 3442 4287 . - 0 ID=AG-313-A07_00774;eC_number=1.14.11.44;Name=rdpA_2;gene=rdpA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8KSC8;locus_tag=AG-313-A07_00774;product=(R)-phenoxypropionate/alpha-ketoglutarate-dioxygenase -AG-313-A07_26 Prodigal:2.6 CDS 4578 5450 . + 0 ID=AG-313-A07_00775;eC_number=3.3.2.10;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O52866;locus_tag=AG-313-A07_00775;product=Soluble epoxide hydrolase -AG-313-A07_26 Prodigal:2.6 CDS 5507 6718 . + 0 ID=AG-313-A07_00776;eC_number=2.8.3.22;Name=smtB_4;gene=smtB_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1KLK0;locus_tag=AG-313-A07_00776;product=Succinyl-CoA--L-malate CoA-transferase beta subunit -AG-313-A07_26 Prodigal:2.6 CDS 6762 8051 . - 0 ID=AG-313-A07_00777;Name=uhpC;gene=uhpC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09836;locus_tag=AG-313-A07_00777;product=Regulatory protein UhpC -AG-313-A07_26 Prodigal:2.6 CDS 8249 9367 . + 0 ID=AG-313-A07_00778;eC_number=1.14.13.-;Name=3%2C6;gene=3%2C6;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:D7UER1;locus_tag=AG-313-A07_00778;product=3%2C6-diketocamphane 1%2C6 monooxygenase -AG-313-A07_26 Prodigal:2.6 CDS 9437 10522 . + 0 ID=AG-313-A07_00779;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00779;product=hypothetical protein -AG-313-A07_26 Prodigal:2.6 CDS 10535 11683 . - 0 ID=AG-313-A07_00780;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00780;product=hypothetical protein -AG-313-A07_26 Prodigal:2.6 CDS 11912 12919 . + 0 ID=AG-313-A07_00781;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00781;product=hypothetical protein -AG-313-A07_26 Prodigal:2.6 CDS 13011 13901 . + 0 ID=AG-313-A07_00782;Name=proW;gene=proW;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P14176;locus_tag=AG-313-A07_00782;product=Glycine betaine/L-proline transport system permease protein ProW -AG-313-A07_26 Prodigal:2.6 CDS 13894 14940 . + 0 ID=AG-313-A07_00783;eC_number=3.6.3.32;Name=opuAA;gene=opuAA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P46920;locus_tag=AG-313-A07_00783;product=Glycine betaine transport ATP-binding protein OpuAA -AG-313-A07_26 Prodigal:2.6 CDS 15052 16389 . + 0 ID=AG-313-A07_00784;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00784;product=hypothetical protein -AG-313-A07_26 Prodigal:2.6 CDS 17004 17354 . - 0 ID=AG-313-A07_00785;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00785;product=hypothetical protein -AG-313-A07_27 Prodigal:2.6 CDS 178 1752 . - 0 ID=AG-313-A07_00786;Name=rpoN2;gene=rpoN2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P30333;locus_tag=AG-313-A07_00786;product=RNA polymerase sigma-54 factor 2 -AG-313-A07_27 Prodigal:2.6 CDS 1763 2566 . - 0 ID=AG-313-A07_00787;eC_number=3.6.3.-;Name=lptB_2;gene=lptB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45073;locus_tag=AG-313-A07_00787;product=Lipopolysaccharide export system ATP-binding protein LptB -AG-313-A07_27 Prodigal:2.6 CDS 2571 3410 . - 0 ID=AG-313-A07_00788;Name=lptD;gene=lptD;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01411;locus_tag=AG-313-A07_00788;product=LPS-assembly protein LptD -AG-313-A07_27 Prodigal:2.6 CDS 3407 4090 . - 0 ID=AG-313-A07_00789;Name=lptC;gene=lptC;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01915;locus_tag=AG-313-A07_00789;product=Lipopolysaccharide export system protein LptC -AG-313-A07_27 Prodigal:2.6 CDS 4144 4755 . - 0 ID=AG-313-A07_00790;eC_number=3.1.13.5;Name=rnd;gene=rnd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09155;locus_tag=AG-313-A07_00790;product=Ribonuclease D -AG-313-A07_27 Prodigal:2.6 CDS 4817 6022 . - 0 ID=AG-313-A07_00791;eC_number=2.8.3.22;Name=smtB_5;gene=smtB_5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1KLK0;locus_tag=AG-313-A07_00791;product=Succinyl-CoA--L-malate CoA-transferase beta subunit -AG-313-A07_27 Prodigal:2.6 CDS 6215 6895 . + 0 ID=AG-313-A07_00792;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00792;product=hypothetical protein -AG-313-A07_27 Prodigal:2.6 CDS 7014 10298 . + 0 ID=AG-313-A07_00793;eC_number=3.4.21.62;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29599;locus_tag=AG-313-A07_00793;product=Subtilisin BL -AG-313-A07_27 Prodigal:2.6 CDS 10361 10519 . - 0 ID=AG-313-A07_00794;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00794;product=hypothetical protein -AG-313-A07_27 Prodigal:2.6 CDS 10729 11853 . - 0 ID=AG-313-A07_00795;eC_number=1.1.5.-;Name=yliI;gene=yliI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75804;locus_tag=AG-313-A07_00795;product=Soluble aldose sugar dehydrogenase YliI -AG-313-A07_27 Prodigal:2.6 CDS 12144 13103 . - 0 ID=AG-313-A07_00796;Name=rip2;gene=rip2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:L0T550;locus_tag=AG-313-A07_00796;product=Putative zinc metalloprotease Rip2 -AG-313-A07_27 Prodigal:2.6 CDS 13249 13602 . - 0 ID=AG-313-A07_00797;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00797;product=hypothetical protein -AG-313-A07_27 Prodigal:2.6 CDS 14035 14652 . - 0 ID=AG-313-A07_00798;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00798;product=hypothetical protein -AG-313-A07_27 Prodigal:2.6 CDS 15279 15443 . + 0 ID=AG-313-A07_00799;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00799;product=hypothetical protein -AG-313-A07_27 Prodigal:2.6 CDS 15653 15772 . + 0 ID=AG-313-A07_00800;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00800;product=hypothetical protein -AG-313-A07_27 Prodigal:2.6 CDS 15790 16020 . + 0 ID=AG-313-A07_00801;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00801;product=hypothetical protein -AG-313-A07_28 Prodigal:2.6 CDS 71 1312 . + 0 ID=AG-313-A07_00802;Name=secY;gene=secY;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01465;locus_tag=AG-313-A07_00802;product=Protein translocase subunit SecY -AG-313-A07_28 Prodigal:2.6 CDS 1309 1884 . + 0 ID=AG-313-A07_00803;eC_number=2.7.4.3;Name=adk;gene=adk;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P27142;locus_tag=AG-313-A07_00803;product=Adenylate kinase -AG-313-A07_28 Prodigal:2.6 CDS 2042 2410 . + 0 ID=AG-313-A07_00804;Name=rpsM;gene=rpsM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N4V5;locus_tag=AG-313-A07_00804;product=30S ribosomal protein S13 -AG-313-A07_28 Prodigal:2.6 CDS 2444 2839 . + 0 ID=AG-313-A07_00805;Name=rpsK;gene=rpsK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N4V6;locus_tag=AG-313-A07_00805;product=30S ribosomal protein S11 -AG-313-A07_28 Prodigal:2.6 CDS 2949 3968 . + 0 ID=AG-313-A07_00806;eC_number=2.7.7.6;Name=rpoA;gene=rpoA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q925Z2;locus_tag=AG-313-A07_00806;product=DNA-directed RNA polymerase subunit alpha -AG-313-A07_28 Prodigal:2.6 CDS 4016 4453 . + 0 ID=AG-313-A07_00807;Name=rplQ;gene=rplQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N4V8;locus_tag=AG-313-A07_00807;product=50S ribosomal protein L17 -AG-313-A07_28 Prodigal:2.6 CDS 4709 6079 . + 0 ID=AG-313-A07_00808;eC_number=3.4.21.107;Name=degQ;gene=degQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39099;locus_tag=AG-313-A07_00808;product=Periplasmic pH-dependent serine endoprotease DegQ -AG-313-A07_28 Prodigal:2.6 CDS 6084 7379 . + 0 ID=AG-313-A07_00809;Name=rarA;gene=rarA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AAZ4;locus_tag=AG-313-A07_00809;product=Replication-associated recombination protein A -AG-313-A07_28 Prodigal:2.6 CDS 7376 8248 . + 0 ID=AG-313-A07_00810;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00810;product=hypothetical protein -AG-313-A07_28 Prodigal:2.6 CDS 8261 8641 . + 0 ID=AG-313-A07_00811;Name=crcB;gene=crcB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37002;locus_tag=AG-313-A07_00811;product=Putative fluoride ion transporter CrcB -AG-313-A07_28 Prodigal:2.6 CDS 8638 9642 . + 0 ID=AG-313-A07_00812;eC_number=5.4.99.24;Name=rluC;gene=rluC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AA39;locus_tag=AG-313-A07_00812;product=Ribosomal large subunit pseudouridine synthase C -AG-313-A07_28 Prodigal:2.6 CDS 9703 10398 . + 0 ID=AG-313-A07_00813;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00813;product=hypothetical protein -AG-313-A07_28 Prodigal:2.6 CDS 10450 12009 . + 0 ID=AG-313-A07_00814;eC_number=6.4.1.3;Name=pccB;gene=pccB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3J4E3;locus_tag=AG-313-A07_00814;product=Propionyl-CoA carboxylase beta chain -AG-313-A07_28 Prodigal:2.6 CDS 12036 12842 . + 0 ID=AG-313-A07_00815;eC_number=3.1.1.85;Name=bioH;gene=bioH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:E6MWF8;locus_tag=AG-313-A07_00815;product=Pimeloyl-[acyl-carrier protein] methyl ester esterase -AG-313-A07_28 Prodigal:2.6 CDS 12897 13328 . - 0 ID=AG-313-A07_00816;eC_number=3.1.26.4;Name=rnhA;gene=rnhA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7Y4;locus_tag=AG-313-A07_00816;product=Ribonuclease HI -AG-313-A07_28 Prodigal:2.6 CDS 13325 14290 . - 0 ID=AG-313-A07_00817;eC_number=2.7.1.39;Name=thrB;gene=thrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8UHA8;locus_tag=AG-313-A07_00817;product=Homoserine kinase -AG-313-A07_28 Prodigal:2.6 CDS 14290 15234 . - 0 ID=AG-313-A07_00818;eC_number=1.17.1.2;Name=ispH;gene=ispH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P62623;locus_tag=AG-313-A07_00818;product=4-hydroxy-3-methylbut-2-enyl diphosphate reductase -AG-313-A07_28 Prodigal:2.6 CDS 15407 15898 . + 0 ID=AG-313-A07_00819;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00819;product=hypothetical protein -AG-313-A07_28 Prodigal:2.6 CDS 15900 16433 . - 0 ID=AG-313-A07_00820;eC_number=2.1.3.1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GBW6;locus_tag=AG-313-A07_00820;product=Methylmalonyl-CoA carboxyltransferase 12S subunit -AG-313-A07_29 Prodigal:2.6 CDS 768 1820 . - 0 ID=AG-313-A07_00821;eC_number=1.1.1.312;Name=ligC;gene=ligC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KWL3;locus_tag=AG-313-A07_00821;product=4-carboxy-2-hydroxymuconate-6-semialdehyde dehydrogenase -AG-313-A07_29 Prodigal:2.6 CDS 1864 3648 . - 0 ID=AG-313-A07_00822;eC_number=2.7.3.9;Name=ptsI;gene=ptsI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08838;locus_tag=AG-313-A07_00822;product=Phosphoenolpyruvate-protein phosphotransferase -AG-313-A07_29 Prodigal:2.6 CDS 3638 3925 . - 0 ID=AG-313-A07_00823;eC_number=2.7.11.-;Name=ptsH;gene=ptsH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AA07;locus_tag=AG-313-A07_00823;product=Phosphocarrier protein HPr -AG-313-A07_29 Prodigal:2.6 CDS 3922 4350 . - 0 ID=AG-313-A07_00824;Name=manX;gene=manX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69797;locus_tag=AG-313-A07_00824;product=PTS system mannose-specific EIIAB component -AG-313-A07_29 Prodigal:2.6 CDS 4386 5285 . - 0 ID=AG-313-A07_00825;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WFQ3;locus_tag=AG-313-A07_00825;product=Nucleotide-binding protein -AG-313-A07_29 Prodigal:2.6 CDS 5272 5712 . - 0 ID=AG-313-A07_00826;eC_number=2.7.11.-;Name=hprK;gene=hprK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O07664;locus_tag=AG-313-A07_00826;product=HPr kinase/phosphorylase -AG-313-A07_29 Prodigal:2.6 CDS 5720 7423 . - 0 ID=AG-313-A07_00827;eC_number=2.7.13.3;Name=yycG;gene=yycG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q45614;locus_tag=AG-313-A07_00827;product=Sensor histidine kinase YycG -AG-313-A07_29 Prodigal:2.6 CDS 7472 8170 . - 0 ID=AG-313-A07_00828;Name=phoP;gene=phoP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P13792;locus_tag=AG-313-A07_00828;product=Alkaline phosphatase synthesis transcriptional regulatory protein PhoP -AG-313-A07_29 Prodigal:2.6 CDS 8763 10373 . + 0 ID=AG-313-A07_00829;eC_number=4.1.1.49;Name=pckA;gene=pckA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9ZNH4;locus_tag=AG-313-A07_00829;product=Phosphoenolpyruvate carboxykinase [ATP] -AG-313-A07_29 Prodigal:2.6 CDS 10508 11734 . + 0 ID=AG-313-A07_00830;eC_number=5.4.1.3;Name=mct;gene=mct;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9WC36;locus_tag=AG-313-A07_00830;product=2-methylfumaryl-CoA isomerase -AG-313-A07_29 Prodigal:2.6 CDS 11752 12369 . - 0 ID=AG-313-A07_00831;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00831;product=hypothetical protein -AG-313-A07_29 Prodigal:2.6 CDS 12354 13691 . - 0 ID=AG-313-A07_00832;eC_number=6.1.1.21;Name=hisS;gene=hisS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8YMC2;locus_tag=AG-313-A07_00832;product=Histidine--tRNA ligase -AG-313-A07_29 Prodigal:2.6 CDS 13766 14011 . - 0 ID=AG-313-A07_00833;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00833;product=hypothetical protein -AG-313-A07_29 Prodigal:2.6 CDS 14197 15198 . - 0 ID=AG-313-A07_00834;eC_number=1.1.1.94;Name=gpsA;gene=gpsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64191;locus_tag=AG-313-A07_00834;product=Glycerol-3-phosphate dehydrogenase [NAD(P)+] -AG-313-A07_29 Prodigal:2.6 CDS 15223 16089 . - 0 ID=AG-313-A07_00835;eC_number=2.3.1.234;Name=tsaD;gene=tsaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05852;locus_tag=AG-313-A07_00835;product=tRNA N6-adenosine threonylcarbamoyltransferase -AG-313-A07_30 Prodigal:2.6 CDS 209 478 . + 0 ID=AG-313-A07_00836;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00836;product=hypothetical protein -AG-313-A07_30 Prodigal:2.6 CDS 492 1193 . + 0 ID=AG-313-A07_00837;eC_number=4.1.1.65;Name=psd;gene=psd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WHQ5;locus_tag=AG-313-A07_00837;product=Phosphatidylserine decarboxylase proenzyme -AG-313-A07_30 Prodigal:2.6 CDS 1218 1994 . + 0 ID=AG-313-A07_00838;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00838;product=hypothetical protein -AG-313-A07_30 Prodigal:2.6 CDS 2048 5188 . - 0 ID=AG-313-A07_00839;Name=mdtC;gene=mdtC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1R9Z5;locus_tag=AG-313-A07_00839;product=Multidrug resistance protein MdtC -AG-313-A07_30 Prodigal:2.6 CDS 5185 6285 . - 0 ID=AG-313-A07_00840;Name=mdtE;gene=mdtE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37636;locus_tag=AG-313-A07_00840;product=Multidrug resistance protein MdtE -AG-313-A07_30 Prodigal:2.6 CDS 6408 7100 . - 0 ID=AG-313-A07_00841;eC_number=1.1.1.325;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8KES3;locus_tag=AG-313-A07_00841;product=Sepiapterin reductase -AG-313-A07_30 Prodigal:2.6 CDS 7105 8757 . - 0 ID=AG-313-A07_00842;eC_number=2.2.1.6;Name=ilvI_1;gene=ilvI_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00893;locus_tag=AG-313-A07_00842;product=Acetolactate synthase isozyme 3 large subunit -AG-313-A07_30 Prodigal:2.6 CDS 8900 9259 . - 0 ID=AG-313-A07_00843;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00843;product=hypothetical protein -AG-313-A07_30 Prodigal:2.6 CDS 9260 10636 . - 0 ID=AG-313-A07_00844;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00844;product=hypothetical protein -AG-313-A07_30 Prodigal:2.6 CDS 10823 11266 . + 0 ID=AG-313-A07_00845;eC_number=1.13.11.39;Name=bphC2;gene=bphC2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P47232;locus_tag=AG-313-A07_00845;product=Biphenyl-2%2C3-diol 1%2C2-dioxygenase 2 -AG-313-A07_30 Prodigal:2.6 CDS 11441 12238 . + 0 ID=AG-313-A07_00846;eC_number=4.1.2.52;Name=hpcH;gene=hpcH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q47098;locus_tag=AG-313-A07_00846;product=4-hydroxy-2-oxo-heptane-1%2C7-dioate aldolase -AG-313-A07_30 Prodigal:2.6 CDS 12330 12956 . + 0 ID=AG-313-A07_00847;eC_number=1.8.4.-;Name=yfcG_2;gene=yfcG_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77526;locus_tag=AG-313-A07_00847;product=Disulfide-bond oxidoreductase YfcG -AG-313-A07_30 Prodigal:2.6 CDS 13164 14123 . + 0 ID=AG-313-A07_00848;eC_number=3.4.21.107;Name=htrB;gene=htrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9R9I1;locus_tag=AG-313-A07_00848;product=Serine protease Do-like HtrB -AG-313-A07_30 Prodigal:2.6 CDS 14171 14758 . - 0 ID=AG-313-A07_00849;eC_number=2.6.1.1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23034;locus_tag=AG-313-A07_00849;product=Aspartate aminotransferase -AG-313-A07_31 Prodigal:2.6 CDS 1141 2793 . - 0 ID=AG-313-A07_00850;eC_number=4.1.2.44;Name=boxC;gene=boxC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q84HH6;locus_tag=AG-313-A07_00850;product=Benzoyl-CoA-dihydrodiol lyase -AG-313-A07_31 Prodigal:2.6 CDS 2975 3853 . + 0 ID=AG-313-A07_00851;eC_number=2.7.8.23;Name=bcpA;gene=bcpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P11435;locus_tag=AG-313-A07_00851;product=Carboxyvinyl-carboxyphosphonate phosphorylmutase -AG-313-A07_31 Prodigal:2.6 CDS 3905 5449 . - 0 ID=AG-313-A07_00852;eC_number=6.2.1.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQ37;locus_tag=AG-313-A07_00852;product=Long-chain-fatty-acid--CoA ligase FadD13 -AG-313-A07_31 Prodigal:2.6 CDS 5557 6702 . + 0 ID=AG-313-A07_00853;eC_number=2.8.3.19;Name=uctC_6;gene=uctC_6;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9X6P9;locus_tag=AG-313-A07_00853;product=Acetyl-CoA:oxalate CoA-transferase -AG-313-A07_31 Prodigal:2.6 CDS 6744 8831 . + 0 ID=AG-313-A07_00854;eC_number=6.2.1.5;Name=sucD;gene=sucD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGE9;locus_tag=AG-313-A07_00854;product=Succinyl-CoA ligase [ADP-forming] subunit alpha -AG-313-A07_31 Prodigal:2.6 CDS 9014 9817 . + 0 ID=AG-313-A07_00855;eC_number=1.14.11.-;Name=ectD_3;gene=ectD_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2TDY4;locus_tag=AG-313-A07_00855;product=Ectoine dioxygenase -AG-313-A07_31 Prodigal:2.6 CDS 9829 11145 . + 0 ID=AG-313-A07_00856;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00856;product=hypothetical protein -AG-313-A07_31 Prodigal:2.6 CDS 11164 12648 . - 0 ID=AG-313-A07_00857;eC_number=3.5.1.13;Name=aam_3;gene=aam_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:K9NBS6;locus_tag=AG-313-A07_00857;product=Acylamidase -AG-313-A07_31 Prodigal:2.6 CDS 12853 13752 . + 0 ID=AG-313-A07_00858;eC_number=1.1.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P96825;locus_tag=AG-313-A07_00858;product=Putative short-chain type dehydrogenase/reductase -AG-313-A07_31 Prodigal:2.6 CDS 13836 14801 . - 0 ID=AG-313-A07_00859;eC_number=1.2.99.2;Name=cutL_2;gene=cutL_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19913;locus_tag=AG-313-A07_00859;product=Carbon monoxide dehydrogenase large chain -AG-313-A07_32 Prodigal:2.6 CDS 84 767 . - 0 ID=AG-313-A07_00860;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00860;product=hypothetical protein -AG-313-A07_32 Prodigal:2.6 CDS 775 2256 . - 0 ID=AG-313-A07_00861;eC_number=2.4.2.43;Name=arnT;gene=arnT;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01165;locus_tag=AG-313-A07_00861;product=Undecaprenyl phosphate-alpha-4-amino-4-deoxy-L-arabinose arabinosyl transferase -AG-313-A07_32 Prodigal:2.6 CDS 2348 3229 . - 0 ID=AG-313-A07_00862;eC_number=1.1.1.291;Name=Hgd_1;gene=Hgd_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0QLF5;locus_tag=AG-313-A07_00862;product=2-(hydroxymethyl)glutarate dehydrogenase -AG-313-A07_32 Prodigal:2.6 CDS 3338 4153 . + 0 ID=AG-313-A07_00863;eC_number=3.1.1.81;Name=Y2-aiiA;gene=Y2-aiiA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q08GP4;locus_tag=AG-313-A07_00863;product=N-acyl homoserine lactonase -AG-313-A07_32 Prodigal:2.6 CDS 4579 4935 . + 0 ID=AG-313-A07_00864;Name=rplT;gene=rplT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NDR6;locus_tag=AG-313-A07_00864;product=50S ribosomal protein L20 -AG-313-A07_32 Prodigal:2.6 CDS 5075 6151 . + 0 ID=AG-313-A07_00865;eC_number=6.1.1.20;Name=pheS;gene=pheS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08312;locus_tag=AG-313-A07_00865;product=Phenylalanine--tRNA ligase alpha subunit -AG-313-A07_32 Prodigal:2.6 CDS 6148 8550 . + 0 ID=AG-313-A07_00866;eC_number=6.1.1.20;Name=pheT;gene=pheT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07395;locus_tag=AG-313-A07_00866;product=Phenylalanine--tRNA ligase beta subunit -AG-313-A07_32 Prodigal:2.6 CDS 8595 9380 . - 0 ID=AG-313-A07_00867;eC_number=3.6.1.41;Name=apaH;gene=apaH;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00199;locus_tag=AG-313-A07_00867;product=Bis(5'-nucleosyl)-tetraphosphatase%2C symmetrical -AG-313-A07_32 Prodigal:2.6 CDS 9521 10327 . + 0 ID=AG-313-A07_00868;eC_number=1.14.11.-;Name=ectD_4;gene=ectD_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2TDY4;locus_tag=AG-313-A07_00868;product=Ectoine dioxygenase -AG-313-A07_32 Prodigal:2.6 CDS 10565 11752 . + 0 ID=AG-313-A07_00869;Name=bcr;gene=bcr;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P28246;locus_tag=AG-313-A07_00869;product=Bicyclomycin resistance protein -AG-313-A07_32 Prodigal:2.6 CDS 11804 13027 . + 0 ID=AG-313-A07_00870;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00870;product=hypothetical protein -AG-313-A07_33 Prodigal:2.6 CDS 126 542 . - 0 ID=AG-313-A07_00871;eC_number=2.7.7.70;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7WF17;locus_tag=AG-313-A07_00871;product=D-beta-D-heptose 1-phosphate adenylyltransferase -AG-313-A07_33 Prodigal:2.6 CDS 594 1139 . - 0 ID=AG-313-A07_00872;eC_number=2.7.1.25;Name=cysC;gene=cysC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34577;locus_tag=AG-313-A07_00872;product=putative adenylyl-sulfate kinase -AG-313-A07_33 Prodigal:2.6 CDS 1169 4024 . - 0 ID=AG-313-A07_00873;Name=yrrB;gene=yrrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34452;locus_tag=AG-313-A07_00873;product=TPR repeat-containing protein YrrB -AG-313-A07_33 Prodigal:2.6 CDS 4821 5501 . - 0 ID=AG-313-A07_00874;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00874;product=hypothetical protein -AG-313-A07_33 Prodigal:2.6 CDS 5605 6996 . - 0 ID=AG-313-A07_00875;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00875;product=hypothetical protein -AG-313-A07_33 Prodigal:2.6 CDS 7196 9679 . - 0 ID=AG-313-A07_00876;Name=apnhaP;gene=apnhaP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93HU4;locus_tag=AG-313-A07_00876;product=Na(+)/H(+) antiporter ApNhaP -AG-313-A07_33 Prodigal:2.6 CDS 10009 12225 . - 0 ID=AG-313-A07_00877;eC_number=4.6.1.1;Name=cyaA;gene=cyaA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40137;locus_tag=AG-313-A07_00877;product=Adenylate cyclase 1 -AG-313-A07_33 Prodigal:2.6 CDS 12229 12999 . - 0 ID=AG-313-A07_00878;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00878;product=hypothetical protein -AG-313-A07_33 Prodigal:2.6 CDS 13204 13551 . - 0 ID=AG-313-A07_00879;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00879;product=hypothetical protein -AG-313-A07_34 Prodigal:2.6 CDS 98 547 . + 0 ID=AG-313-A07_00880;eC_number=2.3.2.2;Name=ggt;gene=ggt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P36267;locus_tag=AG-313-A07_00880;product=Gamma-glutamyltranspeptidase -AG-313-A07_34 Prodigal:2.6 CDS 631 1128 . + 0 ID=AG-313-A07_00881;Name=fliL_2;gene=fliL_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8GXB6;locus_tag=AG-313-A07_00881;product=Flagellar FliL protein -AG-313-A07_34 Prodigal:2.6 CDS 1129 1791 . - 0 ID=AG-313-A07_00882;eC_number=2.3.1.-;Name=plsC_2;gene=plsC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O07584;locus_tag=AG-313-A07_00882;product=1-acyl-sn-glycerol-3-phosphate acyltransferase -AG-313-A07_34 Prodigal:2.6 CDS 2142 3863 . + 0 ID=AG-313-A07_00883;eC_number=4.2.1.25;Name=araC_3;gene=araC_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1JUQ1;locus_tag=AG-313-A07_00883;product=L-arabonate dehydratase -AG-313-A07_34 Prodigal:2.6 CDS 3891 4781 . - 0 ID=AG-313-A07_00884;eC_number=3.1.1.92;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A6XIG6;locus_tag=AG-313-A07_00884;product=4-sulfomuconolactone hydrolase -AG-313-A07_34 Prodigal:2.6 CDS 4885 6429 . - 0 ID=AG-313-A07_00885;eC_number=4.2.1.42;Name=garD_2;gene=garD_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39829;locus_tag=AG-313-A07_00885;product=Galactarate dehydratase (L-threo-forming) -AG-313-A07_34 Prodigal:2.6 CDS 6550 7290 . + 0 ID=AG-313-A07_00886;eC_number=1.1.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8P3K4;locus_tag=AG-313-A07_00886;product=2-keto-3-deoxy-L-fuconate dehydrogenase -AG-313-A07_34 Prodigal:2.6 CDS 7290 8252 . + 0 ID=AG-313-A07_00887;eC_number=4.2.1.-;Name=psdht;gene=psdht;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q10725;locus_tag=AG-313-A07_00887;product=Phenylserine dehydratase -AG-313-A07_34 Prodigal:2.6 CDS 8271 9515 . - 0 ID=AG-313-A07_00888;eC_number=3.11.1.2;Name=phnA;gene=phnA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q51782;locus_tag=AG-313-A07_00888;product=Phosphonoacetate hydrolase -AG-313-A07_34 Prodigal:2.6 CDS 9585 9821 . - 0 ID=AG-313-A07_00889;eC_number=2.8.1.-;Name=tusA;gene=tusA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A890;locus_tag=AG-313-A07_00889;product=Sulfurtransferase TusA -AG-313-A07_34 Prodigal:2.6 CDS 10227 11108 . - 0 ID=AG-313-A07_00890;eC_number=3.8.1.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NAM1;locus_tag=AG-313-A07_00890;product=Fluoroacetate dehalogenase -AG-313-A07_34 Prodigal:2.6 CDS 11185 11982 . - 0 ID=AG-313-A07_00891;eC_number=4.2.1.150;Name=crt_5;gene=crt_5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P52046;locus_tag=AG-313-A07_00891;product=Short-chain-enoyl-CoA hydratase -AG-313-A07_34 Prodigal:2.6 CDS 12012 12803 . - 0 ID=AG-313-A07_00892;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00892;product=hypothetical protein -AG-313-A07_35 Prodigal:2.6 CDS 83 790 . + 0 ID=AG-313-A07_00893;eC_number=3.6.3.17;Name=rbsA;gene=rbsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04983;locus_tag=AG-313-A07_00893;product=Ribose import ATP-binding protein RbsA -AG-313-A07_35 Prodigal:2.6 CDS 787 1893 . + 0 ID=AG-313-A07_00894;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00894;product=hypothetical protein -AG-313-A07_35 Prodigal:2.6 CDS 1893 2810 . + 0 ID=AG-313-A07_00895;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00895;product=hypothetical protein -AG-313-A07_35 Prodigal:2.6 CDS 2872 3948 . + 0 ID=AG-313-A07_00896;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2YKI6;locus_tag=AG-313-A07_00896;product=Purine-binding protein -AG-313-A07_35 Prodigal:2.6 CDS 4380 5744 . + 0 ID=AG-313-A07_00897;eC_number=1.14.14.10;Name=ntaA_1;gene=ntaA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54989;locus_tag=AG-313-A07_00897;product=Nitrilotriacetate monooxygenase component A -AG-313-A07_35 Prodigal:2.6 CDS 5857 6906 . + 0 ID=AG-313-A07_00898;eC_number=1.1.1.-;Name=yjmC_2;gene=yjmC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34736;locus_tag=AG-313-A07_00898;product=putative oxidoreductase YjmC -AG-313-A07_35 Prodigal:2.6 CDS 6921 7811 . - 0 ID=AG-313-A07_00899;eC_number=1.1.1.291;Name=Hgd_2;gene=Hgd_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0QLF5;locus_tag=AG-313-A07_00899;product=2-(hydroxymethyl)glutarate dehydrogenase -AG-313-A07_35 Prodigal:2.6 CDS 7940 9346 . + 0 ID=AG-313-A07_00900;eC_number=3.5.1.4;Name=amiD_1;gene=amiD_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQ93;locus_tag=AG-313-A07_00900;product=Putative amidase AmiD -AG-313-A07_35 Prodigal:2.6 CDS 9353 10228 . - 0 ID=AG-313-A07_00901;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00901;product=hypothetical protein -AG-313-A07_35 Prodigal:2.6 CDS 10544 11392 . + 0 ID=AG-313-A07_00902;eC_number=1.14.11.44;Name=rdpA_3;gene=rdpA_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8KSC8;locus_tag=AG-313-A07_00902;product=(R)-phenoxypropionate/alpha-ketoglutarate-dioxygenase -AG-313-A07_35 Prodigal:2.6 CDS 11439 12491 . + 0 ID=AG-313-A07_00903;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00903;product=hypothetical protein -AG-313-A07_36 Prodigal:2.6 CDS 197 1234 . + 0 ID=AG-313-A07_00904;eC_number=3.5.4.2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I6Y4;locus_tag=AG-313-A07_00904;product=Adenine deaminase -AG-313-A07_36 Prodigal:2.6 CDS 1344 2225 . + 0 ID=AG-313-A07_00905;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00905;product=hypothetical protein -AG-313-A07_36 Prodigal:2.6 CDS 2395 2868 . + 0 ID=AG-313-A07_00906;eC_number=3.5.4.19;Name=hisI;gene=hisI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WMM7;locus_tag=AG-313-A07_00906;product=Phosphoribosyl-AMP cyclohydrolase -AG-313-A07_36 Prodigal:2.6 CDS 2890 3354 . - 0 ID=AG-313-A07_00907;eC_number=1.11.1.15;Name=bcp_2;gene=bcp_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83CY8;locus_tag=AG-313-A07_00907;product=Putative peroxiredoxin bcp -AG-313-A07_36 Prodigal:2.6 CDS 3510 6560 . + 0 ID=AG-313-A07_00908;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00908;product=hypothetical protein -AG-313-A07_36 Prodigal:2.6 CDS 6569 7822 . - 0 ID=AG-313-A07_00909;eC_number=6.1.1.1;Name=tyrS;gene=tyrS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGJ9;locus_tag=AG-313-A07_00909;product=Tyrosine--tRNA ligase -AG-313-A07_36 Prodigal:2.6 CDS 7992 9047 . + 0 ID=AG-313-A07_00910;eC_number=2.7.1.170;Name=anmK;gene=anmK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8EHB5;locus_tag=AG-313-A07_00910;product=Anhydro-N-acetylmuramic acid kinase -AG-313-A07_36 Prodigal:2.6 CDS 9127 10752 . + 0 ID=AG-313-A07_00911;eC_number=6.2.1.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SKN9;locus_tag=AG-313-A07_00911;product=Long-chain-fatty-acid--CoA ligase -AG-313-A07_36 Prodigal:2.6 CDS 10759 11946 . - 0 ID=AG-313-A07_00912;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00912;product=hypothetical protein -AG-313-A07_36 Prodigal:2.6 CDS 12005 12724 . - 0 ID=AG-313-A07_00913;eC_number=4.3.2.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q39BA7;locus_tag=AG-313-A07_00913;product=Ureidoglycolate lyase -AG-313-A07_37 Prodigal:2.6 CDS 379 1200 . + 0 ID=AG-313-A07_00914;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00914;product=hypothetical protein -AG-313-A07_37 Prodigal:2.6 CDS 1372 2097 . + 0 ID=AG-313-A07_00915;eC_number=6.3.2.6;Name=purC;gene=purC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2GHH2;locus_tag=AG-313-A07_00915;product=Phosphoribosylaminoimidazole-succinocarboxamide synthase -AG-313-A07_37 Prodigal:2.6 CDS 2163 2411 . + 0 ID=AG-313-A07_00916;eC_number=6.3.5.3;Name=purS;gene=purS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12049;locus_tag=AG-313-A07_00916;product=Phosphoribosylformylglycinamidine synthase subunit PurS -AG-313-A07_37 Prodigal:2.6 CDS 2421 3470 . - 0 ID=AG-313-A07_00917;eC_number=4.2.3.3;Name=mgsA;gene=mgsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X0R7;locus_tag=AG-313-A07_00917;product=Methylglyoxal synthase -AG-313-A07_37 Prodigal:2.6 CDS 3822 4511 . + 0 ID=AG-313-A07_00918;eC_number=6.3.5.3;Name=purQ;gene=purQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12041;locus_tag=AG-313-A07_00918;product=Phosphoribosylformylglycinamidine synthase subunit PurQ -AG-313-A07_37 Prodigal:2.6 CDS 4508 6724 . + 0 ID=AG-313-A07_00919;eC_number=6.3.5.3;Name=purL;gene=purL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12042;locus_tag=AG-313-A07_00919;product=Phosphoribosylformylglycinamidine synthase subunit PurL -AG-313-A07_37 Prodigal:2.6 CDS 6747 6986 . + 0 ID=AG-313-A07_00920;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00920;product=hypothetical protein -AG-313-A07_37 Prodigal:2.6 CDS 7014 7355 . + 0 ID=AG-313-A07_00921;Name=grxD;gene=grxD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC69;locus_tag=AG-313-A07_00921;product=Glutaredoxin-4 -AG-313-A07_37 Prodigal:2.6 CDS 7411 7899 . + 0 ID=AG-313-A07_00922;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00922;product=hypothetical protein -AG-313-A07_37 Prodigal:2.6 CDS 7953 8570 . - 0 ID=AG-313-A07_00923;Name=rpsD;gene=rpsD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N9G0;locus_tag=AG-313-A07_00923;product=30S ribosomal protein S4 -AG-313-A07_37 Prodigal:2.6 CDS 8833 9558 . + 0 ID=AG-313-A07_00924;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00924;product=hypothetical protein -AG-313-A07_37 Prodigal:2.6 CDS 9592 10359 . - 0 ID=AG-313-A07_00925;eC_number=2.1.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44676;locus_tag=AG-313-A07_00925;product=putative tRNA/rRNA methyltransferase -AG-313-A07_37 Prodigal:2.6 CDS 10449 11831 . - 0 ID=AG-313-A07_00926;eC_number=6.1.1.16;Name=cysS;gene=cysS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83BL7;locus_tag=AG-313-A07_00926;product=Cysteine--tRNA ligase -AG-313-A07_37 Prodigal:2.6 CDS 11865 12533 . - 0 ID=AG-313-A07_00927;eC_number=6.3.5.1;Name=nadE;gene=nadE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q03638;locus_tag=AG-313-A07_00927;product=Glutamine-dependent NAD(+) synthetase -AG-313-A07_38 Prodigal:2.6 CDS 176 823 . + 0 ID=AG-313-A07_00928;eC_number=2.7.1.4;Name=mak;gene=mak;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23917;locus_tag=AG-313-A07_00928;product=Fructokinase -AG-313-A07_38 Prodigal:2.6 CDS 706 1155 . - 0 ID=AG-313-A07_00929;eC_number=2.2.1.6;Name=ilvB_3;gene=ilvB_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08142;locus_tag=AG-313-A07_00929;product=Acetolactate synthase isozyme 1 large subunit -AG-313-A07_38 Prodigal:2.6 CDS 1183 2190 . - 0 ID=AG-313-A07_00930;eC_number=3.5.1.1;Name=ansZ;gene=ansZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34482;locus_tag=AG-313-A07_00930;product=L-asparaginase 2 -AG-313-A07_38 Prodigal:2.6 CDS 2291 2809 . + 0 ID=AG-313-A07_00931;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00931;product=hypothetical protein -AG-313-A07_38 Prodigal:2.6 CDS 2814 4127 . + 0 ID=AG-313-A07_00932;Name=siaT_3;gene=siaT_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44543;locus_tag=AG-313-A07_00932;product=Sialic acid TRAP transporter permease protein SiaT -AG-313-A07_38 Prodigal:2.6 CDS 4228 5433 . + 0 ID=AG-313-A07_00933;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00933;product=hypothetical protein -AG-313-A07_38 Prodigal:2.6 CDS 5627 6022 . + 0 ID=AG-313-A07_00934;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00934;product=hypothetical protein -AG-313-A07_38 Prodigal:2.6 CDS 6057 6833 . + 0 ID=AG-313-A07_00935;eC_number=1.1.1.163;Name=cpnA_6;gene=cpnA_6;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAV9;locus_tag=AG-313-A07_00935;product=Cyclopentanol dehydrogenase -AG-313-A07_38 Prodigal:2.6 CDS 6846 9500 . + 0 ID=AG-313-A07_00936;eC_number=3.4.11.2;Name=pepN;gene=pepN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04825;locus_tag=AG-313-A07_00936;product=Aminopeptidase N -AG-313-A07_38 Prodigal:2.6 CDS 9511 10167 . + 0 ID=AG-313-A07_00937;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00937;product=hypothetical protein -AG-313-A07_38 Prodigal:2.6 CDS 10220 11560 . - 0 ID=AG-313-A07_00938;eC_number=3.6.4.13;Name=rhlE;gene=rhlE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25888;locus_tag=AG-313-A07_00938;product=ATP-dependent RNA helicase RhlE -AG-313-A07_38 Prodigal:2.6 CDS 11743 12126 . - 0 ID=AG-313-A07_00939;eC_number=2.3.3.16;Name=aarA;gene=aarA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P20901;locus_tag=AG-313-A07_00939;product=Citrate synthase -AG-313-A07_39 Prodigal:2.6 CDS 75 629 . + 0 ID=AG-313-A07_00940;Name=carD;gene=carD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0R561;locus_tag=AG-313-A07_00940;product=RNA polymerase-binding transcription factor CarD -AG-313-A07_39 Prodigal:2.6 CDS 765 1652 . + 0 ID=AG-313-A07_00941;Name=rpoH_2;gene=rpoH_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0CAW9;locus_tag=AG-313-A07_00941;product=RNA polymerase sigma factor RpoH -AG-313-A07_39 Prodigal:2.6 CDS 1854 2807 . + 0 ID=AG-313-A07_00942;eC_number=3.4.11.5;Name=pip;gene=pip;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32449;locus_tag=AG-313-A07_00942;product=Proline iminopeptidase -AG-313-A07_39 Prodigal:2.6 CDS 2860 3372 . + 0 ID=AG-313-A07_00943;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00943;product=hypothetical protein -AG-313-A07_39 Prodigal:2.6 CDS 3480 4004 . - 0 ID=AG-313-A07_00944;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00944;product=hypothetical protein -AG-313-A07_39 Prodigal:2.6 CDS 4155 4352 . + 0 ID=AG-313-A07_00945;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00945;product=hypothetical protein -AG-313-A07_39 Prodigal:2.6 CDS 4439 5728 . + 0 ID=AG-313-A07_00946;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00946;product=hypothetical protein -AG-313-A07_39 Prodigal:2.6 CDS 5738 6925 . + 0 ID=AG-313-A07_00947;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00947;product=hypothetical protein -AG-313-A07_39 Prodigal:2.6 CDS 6912 7706 . + 0 ID=AG-313-A07_00948;eC_number=6.3.4.19;Name=tilS;gene=tilS;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01161;locus_tag=AG-313-A07_00948;product=tRNA(Ile)-lysidine synthase -AG-313-A07_39 Prodigal:2.6 CDS 7706 8374 . + 0 ID=AG-313-A07_00949;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00949;product=hypothetical protein -AG-313-A07_39 Prodigal:2.6 CDS 8468 9013 . + 0 ID=AG-313-A07_00950;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00950;product=hypothetical protein -AG-313-A07_39 Prodigal:2.6 CDS 9078 9926 . + 0 ID=AG-313-A07_00951;eC_number=1.14.11.44;Name=rdpA_4;gene=rdpA_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8KSC8;locus_tag=AG-313-A07_00951;product=(R)-phenoxypropionate/alpha-ketoglutarate-dioxygenase -AG-313-A07_39 Prodigal:2.6 CDS 9985 11157 . - 0 ID=AG-313-A07_00952;eC_number=1.14.13.107;Name=limB_2;gene=limB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9EUT9;locus_tag=AG-313-A07_00952;product=Limonene 1%2C2-monooxygenase -AG-313-A07_40 Prodigal:2.6 CDS 729 2066 . + 0 ID=AG-313-A07_00953;eC_number=5.3.1.29;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00304;locus_tag=AG-313-A07_00953;product=Putative thiazole biosynthetic enzyme -AG-313-A07_40 Prodigal:2.6 CDS 2722 4344 . + 0 ID=AG-313-A07_00954;Name=ddpA;gene=ddpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76128;locus_tag=AG-313-A07_00954;product=putative D%2CD-dipeptide-binding periplasmic protein DdpA -AG-313-A07_40 Prodigal:2.6 CDS 4353 5384 . + 0 ID=AG-313-A07_00955;Name=ddpB;gene=ddpB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77308;locus_tag=AG-313-A07_00955;product=putative D%2CD-dipeptide transport system permease protein DdpB -AG-313-A07_40 Prodigal:2.6 CDS 5387 6337 . + 0 ID=AG-313-A07_00956;Name=ddpC_1;gene=ddpC_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77463;locus_tag=AG-313-A07_00956;product=putative D%2CD-dipeptide transport system permease protein DdpC -AG-313-A07_40 Prodigal:2.6 CDS 6348 8096 . + 0 ID=AG-313-A07_00957;eC_number=3.6.3.-;Name=gsiA_2;gene=gsiA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75796;locus_tag=AG-313-A07_00957;product=Glutathione import ATP-binding protein GsiA -AG-313-A07_40 Prodigal:2.6 CDS 8093 9868 . + 0 ID=AG-313-A07_00958;eC_number=3.5.1.54;Name=atzF;gene=atzF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q936X2;locus_tag=AG-313-A07_00958;product=Allophanate hydrolase -AG-313-A07_40 Prodigal:2.6 CDS 9921 10154 . + 0 ID=AG-313-A07_00959;Name=tatA;gene=tatA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69428;locus_tag=AG-313-A07_00959;product=Sec-independent protein translocase protein TatA -AG-313-A07_40 Prodigal:2.6 CDS 10229 10531 . + 0 ID=AG-313-A07_00960;Name=tatB;gene=tatB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69425;locus_tag=AG-313-A07_00960;product=Sec-independent protein translocase protein TatB -AG-313-A07_40 Aragorn:1.2 tRNA 10807 10883 . + . ID=AG-313-A07_00961;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_00961;product=tRNA-Arg(tct) -AG-313-A07_40 Prodigal:2.6 CDS 11053 11388 . - 0 ID=AG-313-A07_00962;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00962;product=hypothetical protein -AG-313-A07_41 Aragorn:1.2 tRNA 333 409 . + . ID=AG-313-A07_00963;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_00963;product=tRNA-Arg(acg) -AG-313-A07_41 Prodigal:2.6 CDS 626 1630 . + 0 ID=AG-313-A07_00964;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00964;product=hypothetical protein -AG-313-A07_41 Prodigal:2.6 CDS 2128 2571 . - 0 ID=AG-313-A07_00965;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00965;product=hypothetical protein -AG-313-A07_41 Prodigal:2.6 CDS 2620 2733 . - 0 ID=AG-313-A07_00966;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00966;product=hypothetical protein -AG-313-A07_41 Prodigal:2.6 CDS 3050 3457 . + 0 ID=AG-313-A07_00967;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00967;product=hypothetical protein -AG-313-A07_41 Prodigal:2.6 CDS 3454 4326 . + 0 ID=AG-313-A07_00968;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00968;product=hypothetical protein -AG-313-A07_41 Prodigal:2.6 CDS 4351 6780 . - 0 ID=AG-313-A07_00969;eC_number=5.99.1.3;Name=gyrB;gene=gyrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AES6;locus_tag=AG-313-A07_00969;product=DNA gyrase subunit B -AG-313-A07_41 Prodigal:2.6 CDS 6792 8033 . - 0 ID=AG-313-A07_00970;Name=recF;gene=recF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9RVE0;locus_tag=AG-313-A07_00970;product=DNA replication and repair protein RecF -AG-313-A07_41 Prodigal:2.6 CDS 8083 9201 . - 0 ID=AG-313-A07_00971;eC_number=2.7.7.7;Name=dnaN;gene=dnaN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A988;locus_tag=AG-313-A07_00971;product=DNA polymerase III subunit beta -AG-313-A07_41 Prodigal:2.6 CDS 9341 10039 . - 0 ID=AG-313-A07_00972;Name=dnaA_1;gene=dnaA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P03004;locus_tag=AG-313-A07_00972;product=Chromosomal replication initiator protein DnaA -AG-313-A07_41 Prodigal:2.6 CDS 9981 10736 . - 0 ID=AG-313-A07_00973;Name=dnaA_2;gene=dnaA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05648;locus_tag=AG-313-A07_00973;product=Chromosomal replication initiator protein DnaA -AG-313-A07_42 Prodigal:2.6 CDS 504 1370 . + 0 ID=AG-313-A07_00974;eC_number=1.1.1.291;Name=Hgd_3;gene=Hgd_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0QLF5;locus_tag=AG-313-A07_00974;product=2-(hydroxymethyl)glutarate dehydrogenase -AG-313-A07_42 Prodigal:2.6 CDS 1411 3039 . + 0 ID=AG-313-A07_00975;eC_number=2.2.1.6;Name=ilvI_2;gene=ilvI_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00893;locus_tag=AG-313-A07_00975;product=Acetolactate synthase isozyme 3 large subunit -AG-313-A07_42 Prodigal:2.6 CDS 3261 4028 . + 0 ID=AG-313-A07_00976;eC_number=1.1.1.163;Name=cpnA_7;gene=cpnA_7;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAV9;locus_tag=AG-313-A07_00976;product=Cyclopentanol dehydrogenase -AG-313-A07_42 Prodigal:2.6 CDS 4141 5796 . + 0 ID=AG-313-A07_00977;eC_number=2.2.1.6;Name=ilvI_3;gene=ilvI_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00893;locus_tag=AG-313-A07_00977;product=Acetolactate synthase isozyme 3 large subunit -AG-313-A07_42 Prodigal:2.6 CDS 5920 7449 . + 0 ID=AG-313-A07_00978;Name=emrB_4;gene=emrB_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEJ0;locus_tag=AG-313-A07_00978;product=Multidrug export protein EmrB -AG-313-A07_42 Prodigal:2.6 CDS 7462 8652 . - 0 ID=AG-313-A07_00979;eC_number=2.4.1.182;Name=lpxB;gene=lpxB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10441;locus_tag=AG-313-A07_00979;product=Lipid-A-disaccharide synthase -AG-313-A07_42 Prodigal:2.6 CDS 8649 9524 . - 0 ID=AG-313-A07_00980;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00980;product=hypothetical protein -AG-313-A07_42 Prodigal:2.6 CDS 9484 10293 . - 0 ID=AG-313-A07_00981;eC_number=2.3.1.129;Name=lpxA;gene=lpxA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A722;locus_tag=AG-313-A07_00981;product=Acyl-[acyl-carrier-protein]--UDP-N-acetylglucosamine O-acyltransferase -AG-313-A07_42 Prodigal:2.6 CDS 10293 10466 . - 0 ID=AG-313-A07_00982;eC_number=4.2.1.59;Name=fabZ;gene=fabZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1VXZ7;locus_tag=AG-313-A07_00982;product=3-hydroxyacyl-[acyl-carrier-protein] dehydratase FabZ -AG-313-A07_43 Prodigal:2.6 CDS 110 1165 . - 0 ID=AG-313-A07_00983;eC_number=2.3.1.-;Name=oatA;gene=oatA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A3D6;locus_tag=AG-313-A07_00983;product=O-acetyltransferase OatA -AG-313-A07_43 Prodigal:2.6 CDS 1854 2306 . - 0 ID=AG-313-A07_00984;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00984;product=hypothetical protein -AG-313-A07_43 Prodigal:2.6 CDS 2554 2661 . - 0 ID=AG-313-A07_00985;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00985;product=hypothetical protein -AG-313-A07_43 Prodigal:2.6 CDS 2683 3375 . - 0 ID=AG-313-A07_00986;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00986;product=hypothetical protein -AG-313-A07_43 Prodigal:2.6 CDS 3587 4801 . + 0 ID=AG-313-A07_00987;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00987;product=hypothetical protein -AG-313-A07_43 Prodigal:2.6 CDS 4645 5304 . - 0 ID=AG-313-A07_00988;eC_number=2.1.1.33;Name=trmB_2;gene=trmB_2;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01057;locus_tag=AG-313-A07_00988;product=tRNA (guanine-N(7)-)-methyltransferase -AG-313-A07_43 Prodigal:2.6 CDS 5301 6098 . - 0 ID=AG-313-A07_00989;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00989;product=hypothetical protein -AG-313-A07_43 Prodigal:2.6 CDS 6363 6824 . + 0 ID=AG-313-A07_00990;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00990;product=hypothetical protein -AG-313-A07_43 Prodigal:2.6 CDS 7611 7973 . + 0 ID=AG-313-A07_00991;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00991;product=hypothetical protein -AG-313-A07_43 Prodigal:2.6 CDS 7939 9546 . + 0 ID=AG-313-A07_00992;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00992;product=hypothetical protein -AG-313-A07_43 Prodigal:2.6 CDS 9910 10047 . + 0 ID=AG-313-A07_00993;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00993;product=hypothetical protein -AG-313-A07_44 Prodigal:2.6 CDS 132 446 . + 0 ID=AG-313-A07_00994;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00994;product=hypothetical protein -AG-313-A07_44 Prodigal:2.6 CDS 542 2425 . - 0 ID=AG-313-A07_00995;Name=htpG;gene=htpG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6Z3;locus_tag=AG-313-A07_00995;product=Chaperone protein HtpG -AG-313-A07_44 Prodigal:2.6 CDS 2566 5127 . + 0 ID=AG-313-A07_00996;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00996;product=hypothetical protein -AG-313-A07_44 Prodigal:2.6 CDS 5127 5528 . + 0 ID=AG-313-A07_00997;Name=hslR;gene=hslR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACG8;locus_tag=AG-313-A07_00997;product=Heat shock protein 15 -AG-313-A07_44 Prodigal:2.6 CDS 5628 6815 . + 0 ID=AG-313-A07_00998;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_00998;product=hypothetical protein -AG-313-A07_44 Prodigal:2.6 CDS 6846 8021 . + 0 ID=AG-313-A07_00999;eC_number=2.8.1.7;Name=csd;gene=csd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q55793;locus_tag=AG-313-A07_00999;product=putative cysteine desulfurase -AG-313-A07_44 Prodigal:2.6 CDS 8032 8667 . - 0 ID=AG-313-A07_01000;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01000;product=hypothetical protein -AG-313-A07_44 Prodigal:2.6 CDS 8738 9202 . + 0 ID=AG-313-A07_01001;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01001;product=hypothetical protein -AG-313-A07_45 Prodigal:2.6 CDS 184 1320 . + 0 ID=AG-313-A07_01002;eC_number=1.13.12.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O06179;locus_tag=AG-313-A07_01002;product=Putative monooxygenase -AG-313-A07_45 Prodigal:2.6 CDS 1414 3465 . + 0 ID=AG-313-A07_01003;eC_number=6.4.1.8;Name=apc3_4;gene=apc3_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5P5G4;locus_tag=AG-313-A07_01003;product=Acetophenone carboxylase gamma subunit -AG-313-A07_45 Prodigal:2.6 CDS 3462 5180 . + 0 ID=AG-313-A07_01004;eC_number=6.4.1.8;Name=apc4_3;gene=apc4_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5P5G5;locus_tag=AG-313-A07_01004;product=Acetophenone carboxylase delta subunit -AG-313-A07_45 Prodigal:2.6 CDS 5184 6014 . - 0 ID=AG-313-A07_01005;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01005;product=hypothetical protein -AG-313-A07_45 Prodigal:2.6 CDS 6075 7541 . - 0 ID=AG-313-A07_01006;eC_number=6.3.1.2;Name=glnA;gene=glnA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19064;locus_tag=AG-313-A07_01006;product=Glutamine synthetase -AG-313-A07_45 Prodigal:2.6 CDS 7570 8859 . - 0 ID=AG-313-A07_01007;eC_number=1.14.12.7;Name=pht3;gene=pht3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q05183;locus_tag=AG-313-A07_01007;product=Phthalate 4%2C5-dioxygenase oxygenase subunit -AG-313-A07_46 Prodigal:2.6 CDS 73 324 . + 0 ID=AG-313-A07_01008;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01008;product=hypothetical protein -AG-313-A07_46 Prodigal:2.6 CDS 423 1994 . + 0 ID=AG-313-A07_01009;eC_number=6.2.1.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SKN9;locus_tag=AG-313-A07_01009;product=Long-chain-fatty-acid--CoA ligase -AG-313-A07_46 Prodigal:2.6 CDS 2222 3103 . + 0 ID=AG-313-A07_01010;Name=ribN_2;gene=ribN_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1MIM3;locus_tag=AG-313-A07_01010;product=Riboflavin transporter -AG-313-A07_46 Prodigal:2.6 CDS 3162 5084 . + 0 ID=AG-313-A07_01011;eC_number=2.1.1.222;Name=ubiG_2;gene=ubiG_2;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00472;locus_tag=AG-313-A07_01011;product=Ubiquinone biosynthesis O-methyltransferase -AG-313-A07_46 Prodigal:2.6 CDS 5173 6024 . - 0 ID=AG-313-A07_01012;eC_number=1.1.1.304;Name=budC;gene=budC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q48436;locus_tag=AG-313-A07_01012;product=Diacetyl reductase [(S)-acetoin forming] -AG-313-A07_46 Prodigal:2.6 CDS 6057 6878 . - 0 ID=AG-313-A07_01013;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01013;product=hypothetical protein -AG-313-A07_46 Prodigal:2.6 CDS 6976 7746 . - 0 ID=AG-313-A07_01014;eC_number=4.2.1.80;Name=mhpD_3;gene=mhpD_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77608;locus_tag=AG-313-A07_01014;product=2-keto-4-pentenoate hydratase -AG-313-A07_46 Prodigal:2.6 CDS 7746 8360 . - 0 ID=AG-313-A07_01015;eC_number=5.99.1.4;Name=nsaD;gene=nsaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X9Q7;locus_tag=AG-313-A07_01015;product=2-hydroxychromene-2-carboxylate isomerase -AG-313-A07_47 Prodigal:2.6 CDS 353 1825 . - 0 ID=AG-313-A07_01016;Name=cobQ;gene=cobQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29932;locus_tag=AG-313-A07_01016;product=Cobyric acid synthase -AG-313-A07_47 Prodigal:2.6 CDS 1856 2593 . - 0 ID=AG-313-A07_01017;eC_number=1.1.1.47;Name=gdhI;gene=gdhI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39482;locus_tag=AG-313-A07_01017;product=Glucose 1-dehydrogenase 1 -AG-313-A07_47 Prodigal:2.6 CDS 2710 3513 . - 0 ID=AG-313-A07_01018;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01018;product=hypothetical protein -AG-313-A07_47 Prodigal:2.6 CDS 3696 6488 . + 0 ID=AG-313-A07_01019;eC_number=2.7.7.7;Name=polA;gene=polA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00582;locus_tag=AG-313-A07_01019;product=DNA polymerase I -AG-313-A07_47 Prodigal:2.6 CDS 6527 6907 . + 0 ID=AG-313-A07_01020;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01020;product=hypothetical protein -AG-313-A07_47 Prodigal:2.6 CDS 6937 7506 . - 0 ID=AG-313-A07_01021;eC_number=1.-.-.-;Name=ydjA;gene=ydjA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACY1;locus_tag=AG-313-A07_01021;product=Putative NAD(P)H nitroreductase YdjA -AG-313-A07_47 Prodigal:2.6 CDS 7635 8696 . - 0 ID=AG-313-A07_01022;eC_number=4.99.1.1;Name=hemH;gene=hemH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23871;locus_tag=AG-313-A07_01022;product=Ferrochelatase -AG-313-A07_48 Prodigal:2.6 CDS 27 728 . + 0 ID=AG-313-A07_01023;Name=ntrC_1;gene=ntrC_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P03029;locus_tag=AG-313-A07_01023;product=Nitrogen assimilation regulatory protein -AG-313-A07_48 Prodigal:2.6 CDS 765 2141 . + 0 ID=AG-313-A07_01024;Name=trkA;gene=trkA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGI8;locus_tag=AG-313-A07_01024;product=Trk system potassium uptake protein TrkA -AG-313-A07_48 Prodigal:2.6 CDS 2173 3027 . + 0 ID=AG-313-A07_01025;eC_number=2.6.1.21;Name=dat;gene=dat;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19938;locus_tag=AG-313-A07_01025;product=D-alanine aminotransferase -AG-313-A07_48 Prodigal:2.6 CDS 3032 3694 . + 0 ID=AG-313-A07_01026;eC_number=3.1.3.18;Name=gph;gene=gph;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32662;locus_tag=AG-313-A07_01026;product=Phosphoglycolate phosphatase -AG-313-A07_48 Prodigal:2.6 CDS 3711 3941 . + 0 ID=AG-313-A07_01027;Name=hfq;gene=hfq;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2YPW9;locus_tag=AG-313-A07_01027;product=RNA-binding protein Hfq -AG-313-A07_48 Prodigal:2.6 CDS 4003 5313 . + 0 ID=AG-313-A07_01028;Name=hflX;gene=hflX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25519;locus_tag=AG-313-A07_01028;product=GTPase HflX -AG-313-A07_48 Prodigal:2.6 CDS 5435 5722 . + 0 ID=AG-313-A07_01029;Name=groS3;gene=groS3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P35864;locus_tag=AG-313-A07_01029;product=10 kDa chaperonin 3 -AG-313-A07_48 Prodigal:2.6 CDS 5802 7478 . + 0 ID=AG-313-A07_01030;Name=groL5;gene=groL5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P35471;locus_tag=AG-313-A07_01030;product=60 kDa chaperonin 5 -AG-313-A07_48 Prodigal:2.6 CDS 7559 8383 . + 0 ID=AG-313-A07_01031;eC_number=3.1.3.15;Name=hisN;gene=hisN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8NS80;locus_tag=AG-313-A07_01031;product=Histidinol-phosphatase -AG-313-A07_49 Prodigal:2.6 CDS 254 691 . + 0 ID=AG-313-A07_01032;eC_number=1.5.3.1;Name=soxG_2;gene=soxG_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AGP0;locus_tag=AG-313-A07_01032;product=Sarcosine oxidase subunit gamma -AG-313-A07_49 Prodigal:2.6 CDS 730 1233 . + 0 ID=AG-313-A07_01033;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01033;product=hypothetical protein -AG-313-A07_49 Prodigal:2.6 CDS 1270 2823 . - 0 ID=AG-313-A07_01034;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01034;product=hypothetical protein -AG-313-A07_49 Prodigal:2.6 CDS 2864 5728 . - 0 ID=AG-313-A07_01035;eC_number=1.4.4.2;Name=gcvP;gene=gcvP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P74416;locus_tag=AG-313-A07_01035;product=Glycine dehydrogenase (decarboxylating) -AG-313-A07_49 Prodigal:2.6 CDS 5777 6154 . - 0 ID=AG-313-A07_01036;Name=gcvH;gene=gcvH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9WY55;locus_tag=AG-313-A07_01036;product=Glycine cleavage system H protein -AG-313-A07_49 Prodigal:2.6 CDS 6176 7276 . - 0 ID=AG-313-A07_01037;eC_number=2.1.2.10;Name=gcvT;gene=gcvT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9WY54;locus_tag=AG-313-A07_01037;product=Aminomethyltransferase -AG-313-A07_50 Prodigal:2.6 CDS 26 535 . - 0 ID=AG-313-A07_01038;Name=rplJ;gene=rplJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N4R7;locus_tag=AG-313-A07_01038;product=50S ribosomal protein L10 -AG-313-A07_50 Prodigal:2.6 CDS 819 1526 . - 0 ID=AG-313-A07_01039;Name=rplA;gene=rplA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N4R5;locus_tag=AG-313-A07_01039;product=50S ribosomal protein L1 -AG-313-A07_50 Prodigal:2.6 CDS 1531 1959 . - 0 ID=AG-313-A07_01040;Name=rplK;gene=rplK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P62441;locus_tag=AG-313-A07_01040;product=50S ribosomal protein L11 -AG-313-A07_50 Prodigal:2.6 CDS 2098 2628 . - 0 ID=AG-313-A07_01041;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFG0;locus_tag=AG-313-A07_01041;note=Transcription termination/antitermination protein NusG;product=hypothetical protein -AG-313-A07_50 Prodigal:2.6 CDS 2633 2830 . - 0 ID=AG-313-A07_01042;Name=secE;gene=secE;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00422;locus_tag=AG-313-A07_01042;product=Protein translocase subunit SecE -AG-313-A07_50 Aragorn:1.2 tRNA 2905 2980 . - . ID=AG-313-A07_01043;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_01043;product=tRNA-Trp(cca) -AG-313-A07_50 Prodigal:2.6 CDS 3008 4198 . - 0 ID=AG-313-A07_01044;Name=tuf1;gene=tuf1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q02T82;locus_tag=AG-313-A07_01044;product=Elongation factor Tu -AG-313-A07_50 Aragorn:1.2 tRNA 4296 4369 . - . ID=AG-313-A07_01045;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_01045;product=tRNA-Gly(tcc) -AG-313-A07_50 Aragorn:1.2 tRNA 4477 4561 . - . ID=AG-313-A07_01046;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_01046;product=tRNA-Tyr(gta) -AG-313-A07_50 Prodigal:2.6 CDS 4766 5617 . + 0 ID=AG-313-A07_01047;eC_number=2.1.1.185;Name=rlmB;gene=rlmB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P63177;locus_tag=AG-313-A07_01047;product=23S rRNA (guanosine-2'-O-)-methyltransferase RlmB -AG-313-A07_50 Aragorn:1.2 tRNA 5769 5844 . + . ID=AG-313-A07_01048;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_01048;product=tRNA-Thr(tgt) -AG-313-A07_50 Prodigal:2.6 CDS 5922 7061 . + 0 ID=AG-313-A07_01049;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01049;product=hypothetical protein -AG-313-A07_51 Prodigal:2.6 CDS 1188 1811 . - 0 ID=AG-313-A07_01050;eC_number=2.5.1.18;Name=gstB_2;gene=gstB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACA7;locus_tag=AG-313-A07_01050;product=Glutathione S-transferase GstB -AG-313-A07_51 Prodigal:2.6 CDS 1859 2539 . - 0 ID=AG-313-A07_01051;eC_number=2.4.2.10;Name=pyrE;gene=pyrE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P42719;locus_tag=AG-313-A07_01051;product=Orotate phosphoribosyltransferase -AG-313-A07_51 Prodigal:2.6 CDS 2605 3333 . - 0 ID=AG-313-A07_01052;Name=livF_2;gene=livF_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P22731;locus_tag=AG-313-A07_01052;product=High-affinity branched-chain amino acid transport ATP-binding protein LivF -AG-313-A07_51 Prodigal:2.6 CDS 3330 5042 . - 0 ID=AG-313-A07_01053;eC_number=3.6.3.-;Name=lptB_3;gene=lptB_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45073;locus_tag=AG-313-A07_01053;product=Lipopolysaccharide export system ATP-binding protein LptB -AG-313-A07_51 Prodigal:2.6 CDS 5042 5944 . - 0 ID=AG-313-A07_01054;Name=livH_1;gene=livH_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEX7;locus_tag=AG-313-A07_01054;product=High-affinity branched-chain amino acid transport system permease protein LivH -AG-313-A07_51 Prodigal:2.6 CDS 5960 6790 . - 0 ID=AG-313-A07_01055;Name=braC;gene=braC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21175;locus_tag=AG-313-A07_01055;product=Leucine-%2C isoleucine-%2C valine-%2C threonine-%2C and alanine-binding protein -AG-313-A07_52 Prodigal:2.6 CDS 379 1161 . - 0 ID=AG-313-A07_01056;eC_number=4.3.2.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q39BA7;locus_tag=AG-313-A07_01056;product=Ureidoglycolate lyase -AG-313-A07_52 Prodigal:2.6 CDS 1298 2239 . + 0 ID=AG-313-A07_01057;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01057;product=hypothetical protein -AG-313-A07_52 Prodigal:2.6 CDS 2284 3687 . - 0 ID=AG-313-A07_01058;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIT1;locus_tag=AG-313-A07_01058;product=putative FAD-linked oxidoreductase -AG-313-A07_52 Prodigal:2.6 CDS 4023 5618 . + 0 ID=AG-313-A07_01059;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01059;product=hypothetical protein -AG-313-A07_53 Prodigal:2.6 CDS 941 1717 . + 0 ID=AG-313-A07_01060;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01060;product=hypothetical protein -AG-313-A07_53 Prodigal:2.6 CDS 1674 2681 . - 0 ID=AG-313-A07_01061;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01061;product=hypothetical protein -AG-313-A07_53 Prodigal:2.6 CDS 2860 3360 . + 0 ID=AG-313-A07_01062;Name=lrp;gene=lrp;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACJ0;locus_tag=AG-313-A07_01062;product=Leucine-responsive regulatory protein -AG-313-A07_53 Prodigal:2.6 CDS 3391 3864 . - 0 ID=AG-313-A07_01063;Name=greA;gene=greA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6W5;locus_tag=AG-313-A07_01063;product=Transcription elongation factor GreA -AG-313-A07_53 Prodigal:2.6 CDS 3913 6030 . - 0 ID=AG-313-A07_01064;eC_number=6.3.5.5;Name=carB;gene=carB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00968;locus_tag=AG-313-A07_01064;product=Carbamoyl-phosphate synthase large chain -AG-313-A07_54 Prodigal:2.6 CDS 160 945 . + 0 ID=AG-313-A07_01065;eC_number=6.4.1.6;Name=acxA_1;gene=acxA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8RM04;locus_tag=AG-313-A07_01065;product=Acetone carboxylase beta subunit -AG-313-A07_54 Prodigal:2.6 CDS 942 2624 . + 0 ID=AG-313-A07_01066;eC_number=6.4.1.8;Name=apc4_4;gene=apc4_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5P5G5;locus_tag=AG-313-A07_01066;product=Acetophenone carboxylase delta subunit -AG-313-A07_54 Prodigal:2.6 CDS 2654 3979 . - 0 ID=AG-313-A07_01067;Name=lutA;gene=lutA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_02105;locus_tag=AG-313-A07_01067;product=Lactate utilization protein A -AG-313-A07_54 Prodigal:2.6 CDS 4068 5390 . - 0 ID=AG-313-A07_01068;eC_number=2.1.1.176;Name=rsmB;gene=rsmB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P36929;locus_tag=AG-313-A07_01068;product=Ribosomal RNA small subunit methyltransferase B -AG-313-A07_54 Prodigal:2.6 CDS 5387 5914 . - 0 ID=AG-313-A07_01069;eC_number=1.1.1.205;Name=guaB;gene=guaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WKI7;locus_tag=AG-313-A07_01069;product=Inosine-5'-monophosphate dehydrogenase -AG-313-A07_55 Prodigal:2.6 CDS 75 281 . + 0 ID=AG-313-A07_01070;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01070;product=hypothetical protein -AG-313-A07_55 Prodigal:2.6 CDS 294 1376 . - 0 ID=AG-313-A07_01071;eC_number=6.3.4.18;Name=purK;gene=purK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66608;locus_tag=AG-313-A07_01071;product=N5-carboxyaminoimidazole ribonucleotide synthase -AG-313-A07_55 Prodigal:2.6 CDS 1373 1891 . - 0 ID=AG-313-A07_01072;eC_number=5.4.99.18;Name=purE;gene=purE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9WYS7;locus_tag=AG-313-A07_01072;product=N5-carboxyaminoimidazole ribonucleotide mutase -AG-313-A07_55 Prodigal:2.6 CDS 2157 2663 . + 0 ID=AG-313-A07_01073;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01073;product=hypothetical protein -AG-313-A07_55 Prodigal:2.6 CDS 2738 4084 . + 0 ID=AG-313-A07_01074;eC_number=3.5.1.4;Name=amiD_2;gene=amiD_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQ93;locus_tag=AG-313-A07_01074;product=Putative amidase AmiD -AG-313-A07_55 Prodigal:2.6 CDS 4118 4717 . - 0 ID=AG-313-A07_01075;eC_number=2.5.1.-;Name=ubiX;gene=ubiX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG03;locus_tag=AG-313-A07_01075;product=Flavin prenyltransferase UbiX -AG-313-A07_55 Prodigal:2.6 CDS 4775 5359 . - 0 ID=AG-313-A07_01076;eC_number=1.14.14.5;Name=ssuD_3;gene=ssuD_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40402;locus_tag=AG-313-A07_01076;product=Alkanesulfonate monooxygenase -AG-313-A07_56 Prodigal:2.6 CDS 238 1044 . + 0 ID=AG-313-A07_01077;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01077;product=hypothetical protein -AG-313-A07_56 Prodigal:2.6 CDS 1289 3238 . + 0 ID=AG-313-A07_01078;eC_number=6.2.1.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53521;locus_tag=AG-313-A07_01078;product=Long-chain-fatty-acid--CoA ligase FadD15 -AG-313-A07_56 Prodigal:2.6 CDS 3240 4040 . + 0 ID=AG-313-A07_01079;eC_number=3.6.3.-;Name=lptB_4;gene=lptB_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45073;locus_tag=AG-313-A07_01079;product=Lipopolysaccharide export system ATP-binding protein LptB -AG-313-A07_56 Prodigal:2.6 CDS 4090 5058 . + 0 ID=AG-313-A07_01080;Name=livH_2;gene=livH_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEX7;locus_tag=AG-313-A07_01080;product=High-affinity branched-chain amino acid transport system permease protein LivH -AG-313-A07_57 Prodigal:2.6 CDS 14 1594 . + 0 ID=AG-313-A07_01081;eC_number=2.8.4.4;Name=rimO;gene=rimO;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01865;locus_tag=AG-313-A07_01081;product=Ribosomal protein S12 methylthiotransferase RimO -AG-313-A07_57 Prodigal:2.6 CDS 1812 2879 . + 0 ID=AG-313-A07_01082;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01082;product=hypothetical protein -AG-313-A07_57 Prodigal:2.6 CDS 2948 4006 . + 0 ID=AG-313-A07_01083;eC_number=1.1.98.2;Name=fgd1_2;gene=fgd1_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WNE1;locus_tag=AG-313-A07_01083;product=F420-dependent glucose-6-phosphate dehydrogenase -AG-313-A07_57 Prodigal:2.6 CDS 4042 4386 . + 0 ID=AG-313-A07_01084;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01084;product=hypothetical protein -AG-313-A07_57 Prodigal:2.6 CDS 4383 5276 . - 0 ID=AG-313-A07_01085;eC_number=1.-.-.-;Name=czcO;gene=czcO;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O07085;locus_tag=AG-313-A07_01085;product=putative oxidoreductase CzcO -AG-313-A07_58 Prodigal:2.6 CDS 823 1491 . - 0 ID=AG-313-A07_01086;eC_number=2.1.1.166;Name=rlmE;gene=rlmE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0C0R7;locus_tag=AG-313-A07_01086;product=Ribosomal RNA large subunit methyltransferase E -AG-313-A07_58 Prodigal:2.6 CDS 1790 2986 . + 0 ID=AG-313-A07_01087;eC_number=2.8.3.22;Name=smtB_6;gene=smtB_6;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1KLK0;locus_tag=AG-313-A07_01087;product=Succinyl-CoA--L-malate CoA-transferase beta subunit -AG-313-A07_58 Prodigal:2.6 CDS 3230 4684 . + 0 ID=AG-313-A07_01088;eC_number=2.4.2.14;Name=purF;gene=purF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00497;locus_tag=AG-313-A07_01088;product=Amidophosphoribosyltransferase -AG-313-A07_59 Prodigal:2.6 CDS 135 1337 . + 0 ID=AG-313-A07_01089;Name=uup;gene=uup;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P43672;locus_tag=AG-313-A07_01089;product=ABC transporter ATP-binding protein uup -AG-313-A07_59 Prodigal:2.6 CDS 1337 2047 . + 0 ID=AG-313-A07_01090;eC_number=3.5.1.28;Name=amiD_3;gene=amiD_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75820;locus_tag=AG-313-A07_01090;product=N-acetylmuramoyl-L-alanine amidase AmiD -AG-313-A07_59 Prodigal:2.6 CDS 2874 3335 . + 0 ID=AG-313-A07_01091;Name=mraZ;gene=mraZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75467;locus_tag=AG-313-A07_01091;product=Transcriptional regulator MraZ -AG-313-A07_59 Prodigal:2.6 CDS 3335 4327 . + 0 ID=AG-313-A07_01092;eC_number=2.1.1.199;Name=rsmH;gene=rsmH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SJD8;locus_tag=AG-313-A07_01092;product=Ribosomal RNA small subunit methyltransferase H -AG-313-A07_59 Prodigal:2.6 CDS 4317 4862 . - 0 ID=AG-313-A07_01093;eC_number=2.4.1.129;Name=ftsI;gene=ftsI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8H0A0;locus_tag=AG-313-A07_01093;product=Peptidoglycan synthase FtsI -AG-313-A07_60 Prodigal:2.6 CDS 78 1019 . - 0 ID=AG-313-A07_01094;eC_number=3.1.1.17;Name=gnl_2;gene=gnl_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q01578;locus_tag=AG-313-A07_01094;product=Gluconolactonase -AG-313-A07_60 Prodigal:2.6 CDS 1114 2742 . - 0 ID=AG-313-A07_01095;eC_number=1.1.99.-;Name=alkJ_3;gene=alkJ_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q00593;locus_tag=AG-313-A07_01095;product=Alcohol dehydrogenase [acceptor] -AG-313-A07_60 Prodigal:2.6 CDS 3146 3505 . + 0 ID=AG-313-A07_01096;eC_number=3.5.99.10;Name=yabJ_2;gene=yabJ_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37552;locus_tag=AG-313-A07_01096;product=2-iminobutanoate/2-iminopropanoate deaminase -AG-313-A07_60 Prodigal:2.6 CDS 3516 4403 . + 0 ID=AG-313-A07_01097;Name=eamA;gene=eamA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P31125;locus_tag=AG-313-A07_01097;product=putative amino-acid metabolite efflux pump -AG-313-A07_61 Prodigal:2.6 CDS 86 1204 . - 0 ID=AG-313-A07_01098;eC_number=1.14.99.46;Name=rutA_3;gene=rutA_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75898;locus_tag=AG-313-A07_01098;product=Pyrimidine monooxygenase RutA -AG-313-A07_61 Prodigal:2.6 CDS 1320 2186 . + 0 ID=AG-313-A07_01099;eC_number=1.1.1.-;Name=yhdN;gene=yhdN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80874;locus_tag=AG-313-A07_01099;product=General stress protein 69 -AG-313-A07_61 Prodigal:2.6 CDS 2192 2602 . + 0 ID=AG-313-A07_01100;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01100;product=hypothetical protein -AG-313-A07_61 Prodigal:2.6 CDS 2627 3088 . + 0 ID=AG-313-A07_01101;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01101;product=hypothetical protein -AG-313-A07_61 Prodigal:2.6 CDS 3122 4087 . - 0 ID=AG-313-A07_01102;Name=ribN_3;gene=ribN_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1MIM3;locus_tag=AG-313-A07_01102;product=Riboflavin transporter -AG-313-A07_62 Prodigal:2.6 CDS 1326 2117 . - 0 ID=AG-313-A07_01103;Name=ylxH;gene=ylxH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40742;locus_tag=AG-313-A07_01103;product=Flagellum site-determining protein YlxH -AG-313-A07_62 Prodigal:2.6 CDS 2144 3103 . - 0 ID=AG-313-A07_01104;Name=flhF;gene=flhF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q01960;locus_tag=AG-313-A07_01104;product=Flagellar biosynthesis protein FlhF -AG-313-A07_62 Prodigal:2.6 CDS 3141 4481 . - 0 ID=AG-313-A07_01105;Name=flhA;gene=flhA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P35620;locus_tag=AG-313-A07_01105;product=Flagellar biosynthesis protein FlhA -AG-313-A07_63 Prodigal:2.6 CDS 11 784 . + 0 ID=AG-313-A07_01106;eC_number=1.18.1.-;Name=thcD;gene=thcD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P43494;locus_tag=AG-313-A07_01106;product=Rhodocoxin reductase -AG-313-A07_63 Prodigal:2.6 CDS 795 1415 . + 0 ID=AG-313-A07_01107;eC_number=2.5.1.18;Name=gstA;gene=gstA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9D2;locus_tag=AG-313-A07_01107;product=Glutathione S-transferase GstA -AG-313-A07_63 Prodigal:2.6 CDS 1437 2738 . + 0 ID=AG-313-A07_01108;eC_number=1.4.3.-;Name=puuB;gene=puuB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37906;locus_tag=AG-313-A07_01108;product=Gamma-glutamylputrescine oxidoreductase -AG-313-A07_63 Prodigal:2.6 CDS 2774 3373 . - 0 ID=AG-313-A07_01109;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01109;product=hypothetical protein -AG-313-A07_63 Prodigal:2.6 CDS 3407 4333 . - 0 ID=AG-313-A07_01110;eC_number=2.-.-.-;Name=rfaQ;gene=rfaQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9R9D5;locus_tag=AG-313-A07_01110;product=Lipopolysaccharide core heptosyltransferase RfaQ -AG-313-A07_64 Prodigal:2.6 CDS 66 578 . + 0 ID=AG-313-A07_01111;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01111;product=hypothetical protein -AG-313-A07_64 Prodigal:2.6 CDS 679 1461 . + 0 ID=AG-313-A07_01112;eC_number=4.1.-.-;Name=novR_2;gene=novR_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9L9F0;locus_tag=AG-313-A07_01112;product=Decarboxylase NovR -AG-313-A07_64 Prodigal:2.6 CDS 1523 2734 . - 0 ID=AG-313-A07_01113;eC_number=2.8.3.17;Name=fldA;gene=fldA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93AM1;locus_tag=AG-313-A07_01113;product=E-cinnamoyl-CoA:R-phenyllactate CoA transferase -AG-313-A07_64 Prodigal:2.6 CDS 2731 3606 . - 0 ID=AG-313-A07_01114;eC_number=4.2.1.153;Name=meh_2;gene=meh_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A9WC41;locus_tag=AG-313-A07_01114;product=Mesaconyl-C(4)-CoA hydratase -AG-313-A07_65 Prodigal:2.6 CDS 822 1514 . - 0 ID=AG-313-A07_01115;eC_number=3.8.1.5;Name=dhmA;gene=dhmA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01230;locus_tag=AG-313-A07_01115;product=Haloalkane dehalogenase -AG-313-A07_65 Prodigal:2.6 CDS 1518 2414 . - 0 ID=AG-313-A07_01116;eC_number=1.1.1.60;Name=garR;gene=garR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABQ2;locus_tag=AG-313-A07_01116;product=2-hydroxy-3-oxopropionate reductase -AG-313-A07_65 Prodigal:2.6 CDS 2609 3889 . - 0 ID=AG-313-A07_01117;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01117;product=hypothetical protein -AG-313-A07_66 Prodigal:2.6 CDS 51 1997 . + 0 ID=AG-313-A07_01118;Name=clpB;gene=clpB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7CEG6;locus_tag=AG-313-A07_01118;product=Chaperone protein ClpB -AG-313-A07_66 Prodigal:2.6 CDS 2017 2472 . - 0 ID=AG-313-A07_01119;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01119;product=hypothetical protein -AG-313-A07_66 Prodigal:2.6 CDS 2581 2904 . + 0 ID=AG-313-A07_01120;eC_number=6.3.2.-;Name=ipuC_1;gene=ipuC_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q936T0;locus_tag=AG-313-A07_01120;product=Glutamate--isopropylamine ligase -AG-313-A07_66 Prodigal:2.6 CDS 2879 3949 . + 0 ID=AG-313-A07_01121;eC_number=6.3.2.-;Name=ipuC_2;gene=ipuC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q936T0;locus_tag=AG-313-A07_01121;product=Glutamate--isopropylamine ligase -AG-313-A07_66 Prodigal:2.6 CDS 3971 4252 . - 0 ID=AG-313-A07_01122;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01122;product=hypothetical protein -AG-313-A07_67 Prodigal:2.6 CDS 765 1760 . + 0 ID=AG-313-A07_01123;eC_number=1.14.11.17;Name=tauD_3;gene=tauD_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37610;locus_tag=AG-313-A07_01123;product=Alpha-ketoglutarate-dependent taurine dioxygenase -AG-313-A07_67 Prodigal:2.6 CDS 1903 2601 . - 0 ID=AG-313-A07_01124;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01124;product=hypothetical protein -AG-313-A07_67 Prodigal:2.6 CDS 2853 3125 . - 0 ID=AG-313-A07_01125;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01125;product=hypothetical protein -AG-313-A07_67 Prodigal:2.6 CDS 3131 3877 . - 0 ID=AG-313-A07_01126;eC_number=3.1.1.45;Name=clcD_2;gene=clcD_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A114;locus_tag=AG-313-A07_01126;product=Carboxymethylenebutenolidase -AG-313-A07_68 Prodigal:2.6 CDS 732 1508 . - 0 ID=AG-313-A07_01127;Name=oppF;gene=oppF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P24137;locus_tag=AG-313-A07_01127;product=Oligopeptide transport ATP-binding protein OppF -AG-313-A07_68 Prodigal:2.6 CDS 1505 2353 . - 0 ID=AG-313-A07_01128;Name=oppD;gene=oppD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P24136;locus_tag=AG-313-A07_01128;product=Oligopeptide transport ATP-binding protein OppD -AG-313-A07_68 Prodigal:2.6 CDS 2359 3288 . - 0 ID=AG-313-A07_01129;Name=ddpC_2;gene=ddpC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77463;locus_tag=AG-313-A07_01129;product=putative D%2CD-dipeptide transport system permease protein DdpC -AG-313-A07_68 Prodigal:2.6 CDS 3288 3854 . - 0 ID=AG-313-A07_01130;Name=dppB_3;gene=dppB_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEF8;locus_tag=AG-313-A07_01130;product=Dipeptide transport system permease protein DppB -AG-313-A07_69 Prodigal:2.6 CDS 151 1008 . - 0 ID=AG-313-A07_01131;eC_number=1.14.11.17;Name=tauD_4;gene=tauD_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37610;locus_tag=AG-313-A07_01131;product=Alpha-ketoglutarate-dependent taurine dioxygenase -AG-313-A07_69 Prodigal:2.6 CDS 1152 1745 . - 0 ID=AG-313-A07_01132;eC_number=1.13.11.3;Name=pcaG;gene=pcaG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P20371;locus_tag=AG-313-A07_01132;product=Protocatechuate 3%2C4-dioxygenase alpha chain -AG-313-A07_69 Prodigal:2.6 CDS 1749 2456 . - 0 ID=AG-313-A07_01133;eC_number=1.13.11.3;Name=pcaH;gene=pcaH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00437;locus_tag=AG-313-A07_01133;product=Protocatechuate 3%2C4-dioxygenase beta chain -AG-313-A07_69 Prodigal:2.6 CDS 2514 3659 . - 0 ID=AG-313-A07_01134;eC_number=1.1.1.81;Name=ttuD;gene=ttuD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q44472;locus_tag=AG-313-A07_01134;product=Putative hydroxypyruvate reductase -AG-313-A07_70 Prodigal:2.6 CDS 28 930 . + 0 ID=AG-313-A07_01135;Name=ntrC_2;gene=ntrC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10577;locus_tag=AG-313-A07_01135;product=Nitrogen assimilation regulatory protein -AG-313-A07_70 Prodigal:2.6 CDS 1016 3274 . + 0 ID=AG-313-A07_01136;eC_number=2.7.13.3;Name=kinB;gene=kinB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34206;locus_tag=AG-313-A07_01136;product=Alginate biosynthesis sensor protein KinB -AG-313-A07_71 Aragorn:1.2 tRNA 13 87 . - . ID=AG-313-A07_01137;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_01137;product=tRNA-Val(gac) -AG-313-A07_71 Prodigal:2.6 CDS 235 1131 . + 0 ID=AG-313-A07_01138;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01138;product=hypothetical protein -AG-313-A07_71 Prodigal:2.6 CDS 1178 1984 . + 0 ID=AG-313-A07_01139;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01139;product=hypothetical protein -AG-313-A07_71 Prodigal:2.6 CDS 2017 3282 . - 0 ID=AG-313-A07_01140;eC_number=1.1.99.1;Name=betA_2;gene=betA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17444;locus_tag=AG-313-A07_01140;product=Oxygen-dependent choline dehydrogenase -AG-313-A07_72 Prodigal:2.6 CDS 65 253 . + 0 ID=AG-313-A07_01141;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01141;product=hypothetical protein -AG-313-A07_72 Prodigal:2.6 CDS 276 629 . + 0 ID=AG-313-A07_01142;Name=spxA;gene=spxA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8DU17;locus_tag=AG-313-A07_01142;product=Regulatory protein Spx -AG-313-A07_72 Prodigal:2.6 CDS 1124 1918 . + 0 ID=AG-313-A07_01143;eC_number=3.1.1.24;Name=catD_2;gene=catD_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00632;locus_tag=AG-313-A07_01143;product=3-oxoadipate enol-lactonase 2 -AG-313-A07_72 Prodigal:2.6 CDS 2034 3179 . - 0 ID=AG-313-A07_01144;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01144;product=hypothetical protein -AG-313-A07_73 Prodigal:2.6 CDS 344 676 . + 0 ID=AG-313-A07_01145;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01145;product=hypothetical protein -AG-313-A07_73 Prodigal:2.6 CDS 798 1235 . + 0 ID=AG-313-A07_01146;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01146;product=hypothetical protein -AG-313-A07_73 Prodigal:2.6 CDS 1310 1672 . + 0 ID=AG-313-A07_01147;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01147;product=hypothetical protein -AG-313-A07_73 Prodigal:2.6 CDS 1676 2764 . + 0 ID=AG-313-A07_01148;eC_number=1.3.5.2;Name=pyrD;gene=pyrD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7E1;locus_tag=AG-313-A07_01148;product=Dihydroorotate dehydrogenase (quinone) -AG-313-A07_74 Prodigal:2.6 CDS 2904 3098 . - 0 ID=AG-313-A07_01149;Name=rplL;gene=rplL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N4R8;locus_tag=AG-313-A07_01149;product=50S ribosomal protein L7/L12 -AG-313-A07_75 Prodigal:2.6 CDS 38 634 . + 0 ID=AG-313-A07_01150;eC_number=1.8.1.4;Name=lpd3;gene=lpd3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P31046;locus_tag=AG-313-A07_01150;product=Dihydrolipoyl dehydrogenase 3 -AG-313-A07_75 Prodigal:2.6 CDS 672 1622 . - 0 ID=AG-313-A07_01151;Name=xerC;gene=xerC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39776;locus_tag=AG-313-A07_01151;product=Tyrosine recombinase XerC -AG-313-A07_75 Prodigal:2.6 CDS 1744 2397 . - 0 ID=AG-313-A07_01152;eC_number=2.2.1.2;Name=tal;gene=tal;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9WYD1;locus_tag=AG-313-A07_01152;product=Transaldolase -AG-313-A07_76 Prodigal:2.6 CDS 233 1312 . - 0 ID=AG-313-A07_01153;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01153;product=hypothetical protein -AG-313-A07_76 Aragorn:1.2 tRNA 1494 1581 . - . ID=AG-313-A07_01154;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A07_01154;product=tRNA-Ser(gga) -AG-313-A07_76 Prodigal:2.6 CDS 1726 2049 . + 0 ID=AG-313-A07_01155;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01155;product=hypothetical protein -AG-313-A07_76 Prodigal:2.6 CDS 2102 2962 . + 0 ID=AG-313-A07_01156;eC_number=3.4.21.-;Name=sppA;gene=sppA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34525;locus_tag=AG-313-A07_01156;product=Putative signal peptide peptidase SppA -AG-313-A07_77 Prodigal:2.6 CDS 869 1321 . + 0 ID=AG-313-A07_01157;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01157;product=hypothetical protein -AG-313-A07_77 Prodigal:2.6 CDS 1380 2006 . - 0 ID=AG-313-A07_01158;eC_number=4.1.2.21;Name=dgoA;gene=dgoA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6BF16;locus_tag=AG-313-A07_01158;product=2-dehydro-3-deoxy-6-phosphogalactonate aldolase -AG-313-A07_77 Prodigal:2.6 CDS 2003 2920 . - 0 ID=AG-313-A07_01159;eC_number=2.7.1.58;Name=dgoK1;gene=dgoK1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q92RN7;locus_tag=AG-313-A07_01159;product=putative 2-dehydro-3-deoxygalactonokinase DgoK1 -AG-313-A07_78 Prodigal:2.6 CDS 1 594 . + 0 ID=AG-313-A07_01160;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01160;product=hypothetical protein -AG-313-A07_78 Prodigal:2.6 CDS 635 1345 . + 0 ID=AG-313-A07_01161;Name=bdcA;gene=bdcA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39333;locus_tag=AG-313-A07_01161;product=Cyclic-di-GMP-binding biofilm dispersal mediator protein -AG-313-A07_78 Prodigal:2.6 CDS 1400 2353 . + 0 ID=AG-313-A07_01162;eC_number=1.1.1.1;Name=adhT_2;gene=adhT_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12311;locus_tag=AG-313-A07_01162;product=Alcohol dehydrogenase -AG-313-A07_79 Prodigal:2.6 CDS 63 1808 . + 0 ID=AG-313-A07_01163;eC_number=6.4.1.6;Name=acxA_2;gene=acxA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8RM04;locus_tag=AG-313-A07_01163;product=Acetone carboxylase beta subunit -AG-313-A07_80 Prodigal:2.6 CDS 33 686 . + 0 ID=AG-313-A07_01164;eC_number=1.5.3.1;Name=soxA_2;gene=soxA_2;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00516;locus_tag=AG-313-A07_01164;product=Monomeric sarcosine oxidase -AG-313-A07_80 Prodigal:2.6 CDS 1199 1906 . - 0 ID=AG-313-A07_01165;eC_number=4.1.3.16;Name=proA_3;gene=proA_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AQI0;locus_tag=AG-313-A07_01165;product=4-hydroxy-4-methyl-2-oxoglutarate aldolase/4-carboxy-4-hydroxy-2-oxoadipate aldolase -AG-313-A07_80 Prodigal:2.6 CDS 1984 2901 . - 0 ID=AG-313-A07_01166;eC_number=3.5.3.24;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SJ85;locus_tag=AG-313-A07_01166;product=N(1)-aminopropylagmatine ureohydrolase -AG-313-A07_81 Prodigal:2.6 CDS 444 803 . - 0 ID=AG-313-A07_01167;Name=iscA;gene=iscA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AAC8;locus_tag=AG-313-A07_01167;product=Iron-binding protein IscA -AG-313-A07_81 Prodigal:2.6 CDS 879 1292 . - 0 ID=AG-313-A07_01168;Name=paaD;gene=paaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76080;locus_tag=AG-313-A07_01168;product=Putative 1%2C2-phenylacetyl-CoA epoxidase%2C subunit D -AG-313-A07_81 Prodigal:2.6 CDS 1289 2512 . - 0 ID=AG-313-A07_01169;eC_number=2.8.1.7;Name=sufS;gene=sufS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32164;locus_tag=AG-313-A07_01169;product=Cysteine desulfurase SufS -AG-313-A07_82 Prodigal:2.6 CDS 356 1141 . + 0 ID=AG-313-A07_01170;eC_number=2.7.11.1;Name=pkn1;gene=pkn1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O84147;locus_tag=AG-313-A07_01170;product=Serine/threonine-protein kinase pkn1 -AG-313-A07_82 Prodigal:2.6 CDS 1339 2034 . + 0 ID=AG-313-A07_01171;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01171;product=hypothetical protein -AG-313-A07_82 Prodigal:2.6 CDS 2115 2549 . - 0 ID=AG-313-A07_01172;eC_number=1.14.14.10;Name=ntaA_2;gene=ntaA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54989;locus_tag=AG-313-A07_01172;product=Nitrilotriacetate monooxygenase component A -AG-313-A07_83 Prodigal:2.6 CDS 191 601 . + 0 ID=AG-313-A07_01173;eC_number=1.1.1.133;Name=rmlD;gene=rmlD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66251;locus_tag=AG-313-A07_01173;product=dTDP-4-dehydrorhamnose reductase -AG-313-A07_83 Prodigal:2.6 CDS 626 1489 . + 0 ID=AG-313-A07_01174;eC_number=2.7.7.24;Name=rfbA;gene=rfbA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37744;locus_tag=AG-313-A07_01174;product=Glucose-1-phosphate thymidylyltransferase 1 -AG-313-A07_83 Prodigal:2.6 CDS 1563 2513 . - 0 ID=AG-313-A07_01175;eC_number=1.1.1.306;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80094;locus_tag=AG-313-A07_01175;product=S-(hydroxymethyl)mycothiol dehydrogenase -AG-313-A07_84 Prodigal:2.6 CDS 287 2260 . - 0 ID=AG-313-A07_01176;eC_number=3.1.4.53;Name=cpdA_2;gene=cpdA_2;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00905;locus_tag=AG-313-A07_01176;product=3'%2C5'-cyclic adenosine monophosphate phosphodiesterase CpdA -AG-313-A07_84 Prodigal:2.6 CDS 2299 2556 . - 0 ID=AG-313-A07_01177;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01177;product=hypothetical protein -AG-313-A07_85 Prodigal:2.6 CDS 55 477 . + 0 ID=AG-313-A07_01178;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01178;product=hypothetical protein -AG-313-A07_85 Prodigal:2.6 CDS 1334 2146 . - 0 ID=AG-313-A07_01179;Name=livF_3;gene=livF_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P22731;locus_tag=AG-313-A07_01179;product=High-affinity branched-chain amino acid transport ATP-binding protein LivF -AG-313-A07_85 Prodigal:2.6 CDS 2206 2553 . - 0 ID=AG-313-A07_01180;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01180;product=hypothetical protein -AG-313-A07_86 Prodigal:2.6 CDS 83 577 . + 0 ID=AG-313-A07_01181;eC_number=1.1.1.271;Name=fcl;gene=fcl;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00956;locus_tag=AG-313-A07_01181;product=GDP-L-fucose synthase -AG-313-A07_86 Prodigal:2.6 CDS 552 1673 . - 0 ID=AG-313-A07_01182;eC_number=1.1.1.22;Name=tuaD;gene=tuaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32271;locus_tag=AG-313-A07_01182;product=UDP-glucose 6-dehydrogenase TuaD -AG-313-A07_86 Prodigal:2.6 CDS 1670 2434 . - 0 ID=AG-313-A07_01183;eC_number=1.1.1.371;Name=iolW;gene=iolW;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32223;locus_tag=AG-313-A07_01183;product=scyllo-inositol 2-dehydrogenase (NADP(+)) -AG-313-A07_87 Prodigal:2.6 CDS 1038 1994 . - 0 ID=AG-313-A07_01184;eC_number=6.1.1.14;Name=glyQ;gene=glyQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00960;locus_tag=AG-313-A07_01184;product=Glycine--tRNA ligase alpha subunit -AG-313-A07_87 Prodigal:2.6 CDS 2116 2514 . - 0 ID=AG-313-A07_01185;eC_number=1.1.1.202;Name=dhaT;gene=dhaT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q59477;locus_tag=AG-313-A07_01185;product=1%2C3-propanediol dehydrogenase -AG-313-A07_88 Prodigal:2.6 CDS 189 1580 . + 0 ID=AG-313-A07_01186;eC_number=1.6.1.2;Name=pntB;gene=pntB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0C188;locus_tag=AG-313-A07_01186;product=NAD(P) transhydrogenase subunit beta -AG-313-A07_88 Prodigal:2.6 CDS 1612 2481 . - 0 ID=AG-313-A07_01187;Name=lapB;gene=lapB;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00994;locus_tag=AG-313-A07_01187;product=Lipopolysaccharide assembly protein B -AG-313-A07_89 Prodigal:2.6 CDS 532 2163 . - 0 ID=AG-313-A07_01188;eC_number=1.14.13.92;Name=pamO_2;gene=pamO_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q47PU3;locus_tag=AG-313-A07_01188;product=Phenylacetone monooxygenase -AG-313-A07_90 Prodigal:2.6 CDS 144 2315 . + 0 ID=AG-313-A07_01189;eC_number=2.3.3.9;Name=glcB;gene=glcB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37330;locus_tag=AG-313-A07_01189;product=Malate synthase G -AG-313-A07_91 Prodigal:2.6 CDS 13 603 . + 0 ID=AG-313-A07_01190;eC_number=1.1.99.-;Name=alkJ_4;gene=alkJ_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q00593;locus_tag=AG-313-A07_01190;product=Alcohol dehydrogenase [acceptor] -AG-313-A07_91 Prodigal:2.6 CDS 622 1437 . + 0 ID=AG-313-A07_01191;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01191;product=hypothetical protein -AG-313-A07_92 Prodigal:2.6 CDS 45 314 . + 0 ID=AG-313-A07_01192;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01192;product=hypothetical protein -AG-313-A07_92 Prodigal:2.6 CDS 354 842 . + 0 ID=AG-313-A07_01193;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01193;product=hypothetical protein -AG-313-A07_92 Prodigal:2.6 CDS 852 1388 . - 0 ID=AG-313-A07_01194;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q55928;locus_tag=AG-313-A07_01194;product=Bifunctional NMN adenylyltransferase/Nudix hydrolase -AG-313-A07_92 Prodigal:2.6 CDS 1481 1732 . - 0 ID=AG-313-A07_01195;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01195;product=hypothetical protein -AG-313-A07_92 Prodigal:2.6 CDS 1796 2278 . - 0 ID=AG-313-A07_01196;eC_number=2.7.2.3;Name=pgk;gene=pgk;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83AU6;locus_tag=AG-313-A07_01196;product=Phosphoglycerate kinase -AG-313-A07_93 Prodigal:2.6 CDS 130 543 . - 0 ID=AG-313-A07_01197;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01197;product=hypothetical protein -AG-313-A07_93 Prodigal:2.6 CDS 631 936 . - 0 ID=AG-313-A07_01198;Name=lsrG;gene=lsrG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZKP9;locus_tag=AG-313-A07_01198;product=Autoinducer 2-degrading protein LsrG -AG-313-A07_93 Prodigal:2.6 CDS 1015 2196 . - 0 ID=AG-313-A07_01199;eC_number=3.-.-.-;Name=yxeP_2;gene=yxeP_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54955;locus_tag=AG-313-A07_01199;product=putative hydrolase YxeP -AG-313-A07_94 Prodigal:2.6 CDS 156 821 . - 0 ID=AG-313-A07_01200;eC_number=3.1.1.45;Name=clcD_3;gene=clcD_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A114;locus_tag=AG-313-A07_01200;product=Carboxymethylenebutenolidase -AG-313-A07_94 Prodigal:2.6 CDS 930 2033 . - 0 ID=AG-313-A07_01201;Name=ychF;gene=ychF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44681;locus_tag=AG-313-A07_01201;product=Ribosome-binding ATPase YchF -AG-313-A07_95 Prodigal:2.6 CDS 233 535 . - 0 ID=AG-313-A07_01202;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01202;product=hypothetical protein -AG-313-A07_95 Prodigal:2.6 CDS 559 1353 . - 0 ID=AG-313-A07_01203;eC_number=3.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WLD7;locus_tag=AG-313-A07_01203;product=putative metallo-hydrolase -AG-313-A07_95 Prodigal:2.6 CDS 1394 1993 . - 0 ID=AG-313-A07_01204;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01204;product=hypothetical protein -AG-313-A07_96 Prodigal:2.6 CDS 94 1137 . + 0 ID=AG-313-A07_01205;eC_number=2.4.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WMX7;locus_tag=AG-313-A07_01205;product=PGL/p-HBAD biosynthesis glycosyltransferase -AG-313-A07_97 Prodigal:2.6 CDS 861 1283 . - 0 ID=AG-313-A07_01206;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A07_01206;product=hypothetical protein -AG-313-A10_1 Prodigal:2.6 CDS 931 1188 . - 0 ID=AG-313-A10_00001;Name=rpmA;gene=rpmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7L8;locus_tag=AG-313-A10_00001;product=50S ribosomal protein L27 -AG-313-A10_1 Prodigal:2.6 CDS 1191 1508 . - 0 ID=AG-313-A10_00002;Name=rplU;gene=rplU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG48;locus_tag=AG-313-A10_00002;product=50S ribosomal protein L21 -AG-313-A10_1 Prodigal:2.6 CDS 1595 2563 . + 0 ID=AG-313-A10_00003;eC_number=2.5.1.90;Name=ispB;gene=ispB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AD57;locus_tag=AG-313-A10_00003;product=Octaprenyl-diphosphate synthase -AG-313-A10_1 Prodigal:2.6 CDS 2560 3081 . + 0 ID=AG-313-A10_00004;eC_number=4.2.1.59;Name=fabA;gene=fabA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O33877;locus_tag=AG-313-A10_00004;product=3-hydroxydecanoyl-[acyl-carrier-protein] dehydratase -AG-313-A10_1 Prodigal:2.6 CDS 3081 4286 . + 0 ID=AG-313-A10_00005;eC_number=2.3.1.41;Name=fabB;gene=fabB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q02K94;locus_tag=AG-313-A10_00005;product=3-oxoacyl-[acyl-carrier-protein] synthase 1 -AG-313-A10_1 Prodigal:2.6 CDS 4288 4626 . - 0 ID=AG-313-A10_00006;eC_number=6.1.1.10;Name=metG;gene=metG;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00098;locus_tag=AG-313-A10_00006;product=Methionine--tRNA ligase -AG-313-A10_1 Prodigal:2.6 CDS 4629 5486 . - 0 ID=AG-313-A10_00007;eC_number=4.2.1.150;Name=crt;gene=crt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P52046;locus_tag=AG-313-A10_00007;product=Short-chain-enoyl-CoA hydratase -AG-313-A10_1 Prodigal:2.6 CDS 5493 5930 . - 0 ID=AG-313-A10_00008;Name=ssb;gene=ssb;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25762;locus_tag=AG-313-A10_00008;product=Single-stranded DNA-binding protein -AG-313-A10_1 Prodigal:2.6 CDS 5998 8820 . + 0 ID=AG-313-A10_00009;Name=uvrA;gene=uvrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A698;locus_tag=AG-313-A10_00009;product=UvrABC system protein A -AG-313-A10_1 Prodigal:2.6 CDS 8817 9233 . - 0 ID=AG-313-A10_00010;Name=rplQ;gene=rplQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG44;locus_tag=AG-313-A10_00010;product=50S ribosomal protein L17 -AG-313-A10_1 Prodigal:2.6 CDS 9238 10203 . - 0 ID=AG-313-A10_00011;eC_number=2.7.7.6;Name=rpoA;gene=rpoA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7Z4;locus_tag=AG-313-A10_00011;product=DNA-directed RNA polymerase subunit alpha -AG-313-A10_1 Prodigal:2.6 CDS 10226 10846 . - 0 ID=AG-313-A10_00012;Name=rpsD;gene=rpsD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7V8;locus_tag=AG-313-A10_00012;product=30S ribosomal protein S4 -AG-313-A10_1 Prodigal:2.6 CDS 10856 11230 . - 0 ID=AG-313-A10_00013;Name=rpsK;gene=rpsK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7R9;locus_tag=AG-313-A10_00013;product=30S ribosomal protein S11 -AG-313-A10_1 Prodigal:2.6 CDS 11234 11590 . - 0 ID=AG-313-A10_00014;Name=rpsM;gene=rpsM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7S9;locus_tag=AG-313-A10_00014;product=30S ribosomal protein S13 -AG-313-A10_1 Prodigal:2.6 CDS 11716 13011 . - 0 ID=AG-313-A10_00015;Name=secY;gene=secY;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01465;locus_tag=AG-313-A10_00015;product=Protein translocase subunit SecY -AG-313-A10_1 Prodigal:2.6 CDS 13017 13559 . - 0 ID=AG-313-A10_00016;Name=rplO;gene=rplO;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P02413;locus_tag=AG-313-A10_00016;product=50S ribosomal protein L15 -AG-313-A10_1 Prodigal:2.6 CDS 13562 13747 . - 0 ID=AG-313-A10_00017;Name=rpmD;gene=rpmD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HWF3;locus_tag=AG-313-A10_00017;product=50S ribosomal protein L30 -AG-313-A10_1 Prodigal:2.6 CDS 13744 14250 . - 0 ID=AG-313-A10_00018;Name=rpsE;gene=rpsE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7W4;locus_tag=AG-313-A10_00018;product=30S ribosomal protein S5 -AG-313-A10_1 Prodigal:2.6 CDS 14256 14603 . - 0 ID=AG-313-A10_00019;Name=rplR;gene=rplR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09415;locus_tag=AG-313-A10_00019;product=50S ribosomal protein L18 -AG-313-A10_1 Prodigal:2.6 CDS 14607 15149 . - 0 ID=AG-313-A10_00020;Name=rplF;gene=rplF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9K1I3;locus_tag=AG-313-A10_00020;product=50S ribosomal protein L6 -AG-313-A10_1 Prodigal:2.6 CDS 15152 15547 . - 0 ID=AG-313-A10_00021;Name=rpsH;gene=rpsH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N4U7;locus_tag=AG-313-A10_00021;product=30S ribosomal protein S8 -AG-313-A10_1 Prodigal:2.6 CDS 15552 15857 . - 0 ID=AG-313-A10_00022;Name=rpsN;gene=rpsN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG59;locus_tag=AG-313-A10_00022;product=30S ribosomal protein S14 -AG-313-A10_1 Prodigal:2.6 CDS 15869 16405 . - 0 ID=AG-313-A10_00023;Name=rplE;gene=rplE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12877;locus_tag=AG-313-A10_00023;product=50S ribosomal protein L5 -AG-313-A10_1 Prodigal:2.6 CDS 16402 16740 . - 0 ID=AG-313-A10_00024;Name=rplX;gene=rplX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60624;locus_tag=AG-313-A10_00024;product=50S ribosomal protein L24 -AG-313-A10_1 Prodigal:2.6 CDS 16740 17108 . - 0 ID=AG-313-A10_00025;Name=rplN;gene=rplN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7DDT2;locus_tag=AG-313-A10_00025;product=50S ribosomal protein L14 -AG-313-A10_1 Prodigal:2.6 CDS 17105 17386 . - 0 ID=AG-313-A10_00026;Name=rpsQ;gene=rpsQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG63;locus_tag=AG-313-A10_00026;product=30S ribosomal protein S17 -AG-313-A10_1 Prodigal:2.6 CDS 17383 17601 . - 0 ID=AG-313-A10_00027;Name=rpmC;gene=rpmC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HWE3;locus_tag=AG-313-A10_00027;product=50S ribosomal protein L29 -AG-313-A10_1 Prodigal:2.6 CDS 17604 18014 . - 0 ID=AG-313-A10_00028;Name=rplP;gene=rplP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADY7;locus_tag=AG-313-A10_00028;product=50S ribosomal protein L16 -AG-313-A10_1 Prodigal:2.6 CDS 18017 18676 . - 0 ID=AG-313-A10_00029;Name=rpsC;gene=rpsC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7V3;locus_tag=AG-313-A10_00029;product=30S ribosomal protein S3 -AG-313-A10_1 Prodigal:2.6 CDS 18676 19014 . - 0 ID=AG-313-A10_00030;Name=rplV;gene=rplV;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P61175;locus_tag=AG-313-A10_00030;product=50S ribosomal protein L22 -AG-313-A10_1 Prodigal:2.6 CDS 19014 19286 . - 0 ID=AG-313-A10_00031;Name=rpsS;gene=rpsS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7U3;locus_tag=AG-313-A10_00031;product=30S ribosomal protein S19 -AG-313-A10_1 Prodigal:2.6 CDS 19290 20117 . - 0 ID=AG-313-A10_00032;Name=rplB;gene=rplB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60422;locus_tag=AG-313-A10_00032;product=50S ribosomal protein L2 -AG-313-A10_1 Prodigal:2.6 CDS 20120 20413 . - 0 ID=AG-313-A10_00033;Name=rplW;gene=rplW;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADZ0;locus_tag=AG-313-A10_00033;product=50S ribosomal protein L23 -AG-313-A10_1 Prodigal:2.6 CDS 20413 21024 . - 0 ID=AG-313-A10_00034;Name=rplD;gene=rplD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60726;locus_tag=AG-313-A10_00034;product=50S ribosomal protein L4 -AG-313-A10_1 Prodigal:2.6 CDS 21021 21647 . - 0 ID=AG-313-A10_00035;Name=rplC;gene=rplC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60438;locus_tag=AG-313-A10_00035;product=50S ribosomal protein L3 -AG-313-A10_1 Prodigal:2.6 CDS 21713 22024 . - 0 ID=AG-313-A10_00036;Name=rpsJ;gene=rpsJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7R5;locus_tag=AG-313-A10_00036;product=30S ribosomal protein S10 -AG-313-A10_1 Prodigal:2.6 CDS 22128 24221 . - 0 ID=AG-313-A10_00037;Name=fusA;gene=fusA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HWD2;locus_tag=AG-313-A10_00037;product=Elongation factor G 1 -AG-313-A10_1 Prodigal:2.6 CDS 24247 24717 . - 0 ID=AG-313-A10_00038;Name=rpsG;gene=rpsG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N4T3;locus_tag=AG-313-A10_00038;product=30S ribosomal protein S7 -AG-313-A10_1 Prodigal:2.6 CDS 24720 25091 . - 0 ID=AG-313-A10_00039;Name=rpsL;gene=rpsL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7S3;locus_tag=AG-313-A10_00039;product=30S ribosomal protein S12 -AG-313-A10_1 Prodigal:2.6 CDS 25142 29323 . - 0 ID=AG-313-A10_00040;eC_number=2.7.7.6;Name=rpoC;gene=rpoC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8T7;locus_tag=AG-313-A10_00040;product=DNA-directed RNA polymerase subunit beta' -AG-313-A10_1 Prodigal:2.6 CDS 29333 33403 . - 0 ID=AG-313-A10_00041;eC_number=2.7.7.6;Name=rpoB;gene=rpoB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8V2;locus_tag=AG-313-A10_00041;product=DNA-directed RNA polymerase subunit beta -AG-313-A10_1 Prodigal:2.6 CDS 33436 33819 . - 0 ID=AG-313-A10_00042;Name=rplL;gene=rplL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:E6MUA0;locus_tag=AG-313-A10_00042;product=50S ribosomal protein L7/L12 -AG-313-A10_1 Prodigal:2.6 CDS 33836 34366 . - 0 ID=AG-313-A10_00043;Name=rplJ;gene=rplJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7J3;locus_tag=AG-313-A10_00043;product=50S ribosomal protein L10 -AG-313-A10_1 Prodigal:2.6 CDS 34519 35214 . - 0 ID=AG-313-A10_00044;Name=rplA;gene=rplA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7L0;locus_tag=AG-313-A10_00044;product=50S ribosomal protein L1 -AG-313-A10_1 Prodigal:2.6 CDS 35214 35639 . - 0 ID=AG-313-A10_00045;Name=rplK;gene=rplK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7J7;locus_tag=AG-313-A10_00045;product=50S ribosomal protein L11 -AG-313-A10_1 Prodigal:2.6 CDS 35639 36166 . - 0 ID=AG-313-A10_00046;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFG0;locus_tag=AG-313-A10_00046;note=Transcription termination/antitermination protein NusG;product=hypothetical protein -AG-313-A10_1 Prodigal:2.6 CDS 36174 36536 . - 0 ID=AG-313-A10_00047;Name=secE;gene=secE;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00422;locus_tag=AG-313-A10_00047;product=Protein translocase subunit SecE -AG-313-A10_1 Aragorn:1.2 tRNA 36560 36635 . - . ID=AG-313-A10_00048;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00048;product=tRNA-Trp(cca) -AG-313-A10_1 Prodigal:2.6 CDS 36703 37893 . - 0 ID=AG-313-A10_00049;Name=tuf1;gene=tuf1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q02T82;locus_tag=AG-313-A10_00049;product=Elongation factor Tu -AG-313-A10_1 Aragorn:1.2 tRNA 37942 38016 . - . ID=AG-313-A10_00050;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00050;product=tRNA-Thr(ggt) -AG-313-A10_1 Aragorn:1.2 tRNA 38109 38193 . - . ID=AG-313-A10_00051;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00051;product=tRNA-Tyr(gta) -AG-313-A10_1 Prodigal:2.6 CDS 38253 38999 . + 0 ID=AG-313-A10_00052;eC_number=6.3.4.15;Name=birA;gene=birA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06709;locus_tag=AG-313-A10_00052;product=Bifunctional ligase/repressor BirA -AG-313-A10_1 Prodigal:2.6 CDS 39004 39558 . + 0 ID=AG-313-A10_00053;eC_number=1.8.4.11;Name=msrA;gene=msrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93S39;locus_tag=AG-313-A10_00053;product=Peptide methionine sulfoxide reductase MsrA -AG-313-A10_1 Prodigal:2.6 CDS 39601 40332 . - 0 ID=AG-313-A10_00054;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00054;product=hypothetical protein -AG-313-A10_1 Aragorn:1.2 tRNA 40451 40526 . + . ID=AG-313-A10_00055;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00055;product=tRNA-Thr(tgt) -AG-313-A10_1 Prodigal:2.6 CDS 40711 41829 . - 0 ID=AG-313-A10_00056;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00056;product=hypothetical protein -AG-313-A10_1 Prodigal:2.6 CDS 42058 44649 . - 0 ID=AG-313-A10_00057;Name=cirA_1;gene=cirA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17315;locus_tag=AG-313-A10_00057;product=Colicin I receptor -AG-313-A10_1 Prodigal:2.6 CDS 44760 47054 . - 0 ID=AG-313-A10_00058;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9JZN9;locus_tag=AG-313-A10_00058;product=putative TonB-dependent receptor -AG-313-A10_1 Prodigal:2.6 CDS 47093 47377 . - 0 ID=AG-313-A10_00059;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00059;product=hypothetical protein -AG-313-A10_1 Prodigal:2.6 CDS 47427 48902 . + 0 ID=AG-313-A10_00060;eC_number=3.1.13.1;Name=rnr;gene=rnr;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21499;locus_tag=AG-313-A10_00060;product=Ribonuclease R -AG-313-A10_1 Prodigal:2.6 CDS 48892 49617 . + 0 ID=AG-313-A10_00061;eC_number=2.1.1.185;Name=rlmB;gene=rlmB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P63177;locus_tag=AG-313-A10_00061;product=23S rRNA (guanosine-2'-O-)-methyltransferase RlmB -AG-313-A10_1 Prodigal:2.6 CDS 49664 50587 . + 0 ID=AG-313-A10_00062;eC_number=3.5.1.-;Name=lpxC;gene=lpxC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P47205;locus_tag=AG-313-A10_00062;product=UDP-3-O-[3-hydroxymyristoyl] N-acetylglucosamine deacetylase -AG-313-A10_1 Prodigal:2.6 CDS 50620 53337 . + 0 ID=AG-313-A10_00063;Name=secA;gene=secA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01382;locus_tag=AG-313-A10_00063;product=Protein translocase subunit SecA -AG-313-A10_1 Prodigal:2.6 CDS 53344 53511 . - 0 ID=AG-313-A10_00064;Name=yacG;gene=yacG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8H8;locus_tag=AG-313-A10_00064;product=DNA gyrase inhibitor YacG -AG-313-A10_1 Prodigal:2.6 CDS 53508 54101 . - 0 ID=AG-313-A10_00065;eC_number=2.7.1.24;Name=coaE;gene=coaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44920;locus_tag=AG-313-A10_00065;product=Dephospho-CoA kinase -AG-313-A10_1 Prodigal:2.6 CDS 54098 54538 . - 0 ID=AG-313-A10_00066;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00066;product=hypothetical protein -AG-313-A10_1 barrnap:0.6 rRNA 54603 54712 2.6e-13 - . ID=AG-313-A10_00067;locus_tag=AG-313-A10_00067;product=5S ribosomal RNA -AG-313-A10_1 barrnap:0.6 rRNA 54788 57673 0 - . ID=AG-313-A10_00068;locus_tag=AG-313-A10_00068;product=23S ribosomal RNA -AG-313-A10_1 barrnap:0.6 rRNA 57933 59463 0 - . ID=AG-313-A10_00069;locus_tag=AG-313-A10_00069;product=16S ribosomal RNA -AG-313-A10_1 Prodigal:2.6 CDS 59633 60676 . - 0 ID=AG-313-A10_00070;eC_number=1.1.1.86;Name=ilvC;gene=ilvC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVA2;locus_tag=AG-313-A10_00070;product=Ketol-acid reductoisomerase -AG-313-A10_1 Prodigal:2.6 CDS 60689 61168 . - 0 ID=AG-313-A10_00071;eC_number=2.2.1.6;Name=ilvH;gene=ilvH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00894;locus_tag=AG-313-A10_00071;product=Acetolactate synthase isozyme 3 small subunit -AG-313-A10_1 Prodigal:2.6 CDS 61165 62901 . - 0 ID=AG-313-A10_00072;eC_number=2.2.1.6;Name=ilvI;gene=ilvI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00893;locus_tag=AG-313-A10_00072;product=Acetolactate synthase isozyme 3 large subunit -AG-313-A10_1 Prodigal:2.6 CDS 62993 63919 . - 0 ID=AG-313-A10_00073;eC_number=5.4.99.23;Name=rluD;gene=rluD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33643;locus_tag=AG-313-A10_00073;product=Ribosomal large subunit pseudouridine synthase D -AG-313-A10_1 Prodigal:2.6 CDS 64009 64824 . + 0 ID=AG-313-A10_00074;Name=bamD;gene=bamD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC02;locus_tag=AG-313-A10_00074;product=Outer membrane protein assembly factor BamD -AG-313-A10_1 Prodigal:2.6 CDS 64831 66042 . - 0 ID=AG-313-A10_00075;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00075;product=hypothetical protein -AG-313-A10_1 Prodigal:2.6 CDS 66039 67556 . - 0 ID=AG-313-A10_00076;Name=alsT;gene=alsT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q45068;locus_tag=AG-313-A10_00076;product=Amino-acid carrier protein AlsT -AG-313-A10_1 Prodigal:2.6 CDS 67593 68294 . + 0 ID=AG-313-A10_00077;eC_number=6.3.5.5;Name=carA;gene=carA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01209;locus_tag=AG-313-A10_00077;product=Carbamoyl-phosphate synthase small chain -AG-313-A10_1 Prodigal:2.6 CDS 68296 69120 . - 0 ID=AG-313-A10_00078;eC_number=1.14.11.17;Name=tauD;gene=tauD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37610;locus_tag=AG-313-A10_00078;product=Alpha-ketoglutarate-dependent taurine dioxygenase -AG-313-A10_1 Prodigal:2.6 CDS 69151 69675 . - 0 ID=AG-313-A10_00079;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00079;product=hypothetical protein -AG-313-A10_1 Prodigal:2.6 CDS 69797 70411 . - 0 ID=AG-313-A10_00080;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00080;product=hypothetical protein -AG-313-A10_1 Prodigal:2.6 CDS 70458 73508 . - 0 ID=AG-313-A10_00081;Name=czcA;gene=czcA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P13511;locus_tag=AG-313-A10_00081;product=Cobalt-zinc-cadmium resistance protein CzcA -AG-313-A10_1 Prodigal:2.6 CDS 73512 74504 . - 0 ID=AG-313-A10_00082;Name=macA_1;gene=macA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75830;locus_tag=AG-313-A10_00082;product=Macrolide export protein MacA -AG-313-A10_1 Prodigal:2.6 CDS 74589 75188 . + 0 ID=AG-313-A10_00083;Name=betI;gene=betI;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00768;locus_tag=AG-313-A10_00083;product=HTH-type transcriptional regulator BetI -AG-313-A10_1 Prodigal:2.6 CDS 75185 75589 . - 0 ID=AG-313-A10_00084;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00084;product=hypothetical protein -AG-313-A10_1 Prodigal:2.6 CDS 75675 76409 . - 0 ID=AG-313-A10_00085;eC_number=2.5.1.61;Name=hemC;gene=hemC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WMP3;locus_tag=AG-313-A10_00085;product=Porphobilinogen deaminase -AG-313-A10_1 Prodigal:2.6 CDS 76406 76954 . - 0 ID=AG-313-A10_00086;eC_number=2.1.1.171;Name=rsmD;gene=rsmD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44869;locus_tag=AG-313-A10_00086;product=Ribosomal RNA small subunit methyltransferase D -AG-313-A10_2 Prodigal:2.6 CDS 528 839 . + 0 ID=AG-313-A10_00087;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00087;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 1212 1538 . + 0 ID=AG-313-A10_00088;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00088;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 1601 3217 . + 0 ID=AG-313-A10_00089;eC_number=3.1.4.4;Name=pld;gene=pld;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8KRU5;locus_tag=AG-313-A10_00089;product=Phospholipase D -AG-313-A10_2 Prodigal:2.6 CDS 3219 3764 . - 0 ID=AG-313-A10_00090;eC_number=3.1.-.-;Name=orn;gene=orn;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45340;locus_tag=AG-313-A10_00090;product=Oligoribonuclease -AG-313-A10_2 Prodigal:2.6 CDS 3807 4679 . + 0 ID=AG-313-A10_00091;eC_number=3.6.1.-;Name=rsgA;gene=rsgA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZKB0;locus_tag=AG-313-A10_00091;product=Putative ribosome biogenesis GTPase RsgA -AG-313-A10_2 Prodigal:2.6 CDS 4779 5411 . + 0 ID=AG-313-A10_00092;eC_number=2.1.1.163;Name=ubiE;gene=ubiE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A887;locus_tag=AG-313-A10_00092;product=Ubiquinone/menaquinone biosynthesis C-methyltransferase UbiE -AG-313-A10_2 Prodigal:2.6 CDS 5414 5914 . + 0 ID=AG-313-A10_00093;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00093;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 5911 7479 . + 0 ID=AG-313-A10_00094;eC_number=2.7.-.-;Name=ubiB;gene=ubiB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O07443;locus_tag=AG-313-A10_00094;product=putative protein kinase UbiB -AG-313-A10_2 Prodigal:2.6 CDS 7496 7681 . + 0 ID=AG-313-A10_00095;Name=tatA;gene=tatA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69428;locus_tag=AG-313-A10_00095;product=Sec-independent protein translocase protein TatA -AG-313-A10_2 Prodigal:2.6 CDS 7781 7930 . + 0 ID=AG-313-A10_00096;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00096;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 7914 8630 . + 0 ID=AG-313-A10_00097;Name=tatC;gene=tatC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69423;locus_tag=AG-313-A10_00097;product=Sec-independent protein translocase protein TatC -AG-313-A10_2 Prodigal:2.6 CDS 8627 9229 . - 0 ID=AG-313-A10_00098;Name=yvdD;gene=yvdD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O06986;locus_tag=AG-313-A10_00098;product=LOG family protein YvdD -AG-313-A10_2 Prodigal:2.6 CDS 9226 10398 . - 0 ID=AG-313-A10_00099;eC_number=1.3.99.-;Name=acdA_1;gene=acdA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45867;locus_tag=AG-313-A10_00099;product=Acyl-CoA dehydrogenase -AG-313-A10_2 Prodigal:2.6 CDS 10403 10876 . - 0 ID=AG-313-A10_00100;eC_number=3.1.1.96;Name=dtd;gene=dtd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66742;locus_tag=AG-313-A10_00100;product=D-aminoacyl-tRNA deacylase -AG-313-A10_2 Prodigal:2.6 CDS 10852 11865 . - 0 ID=AG-313-A10_00101;eC_number=4.1.2.13;Name=fda;gene=fda;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00729;locus_tag=AG-313-A10_00101;product=Fructose-bisphosphate aldolase class 1 -AG-313-A10_2 Prodigal:2.6 CDS 11879 13015 . - 0 ID=AG-313-A10_00102;eC_number=2.7.2.3;Name=pgk;gene=pgk;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5NF76;locus_tag=AG-313-A10_00102;product=Phosphoglycerate kinase -AG-313-A10_2 Prodigal:2.6 CDS 13012 15003 . - 0 ID=AG-313-A10_00103;eC_number=2.2.1.1;Name=tktA;gene=tktA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P27302;locus_tag=AG-313-A10_00103;product=Transketolase 1 -AG-313-A10_2 Prodigal:2.6 CDS 15204 16358 . + 0 ID=AG-313-A10_00104;eC_number=2.5.1.6;Name=metK;gene=metK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A817;locus_tag=AG-313-A10_00104;product=S-adenosylmethionine synthase -AG-313-A10_2 Prodigal:2.6 CDS 16437 17831 . + 0 ID=AG-313-A10_00105;eC_number=3.3.1.1;Name=ahcY;gene=ahcY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A4ZHR8;locus_tag=AG-313-A10_00105;product=Adenosylhomocysteinase -AG-313-A10_2 Prodigal:2.6 CDS 17982 19226 . + 0 ID=AG-313-A10_00106;eC_number=4.1.1.20;Name=lysA;gene=lysA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KVL7;locus_tag=AG-313-A10_00106;product=Diaminopimelate decarboxylase -AG-313-A10_2 Prodigal:2.6 CDS 19213 19998 . + 0 ID=AG-313-A10_00107;eC_number=5.1.1.7;Name=dapF;gene=dapF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83AD4;locus_tag=AG-313-A10_00107;product=Diaminopimelate epimerase -AG-313-A10_2 Prodigal:2.6 CDS 19983 20612 . + 0 ID=AG-313-A10_00108;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00108;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 20609 21517 . + 0 ID=AG-313-A10_00109;Name=xerC;gene=xerC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44818;locus_tag=AG-313-A10_00109;product=Tyrosine recombinase XerC -AG-313-A10_2 Prodigal:2.6 CDS 21510 22217 . + 0 ID=AG-313-A10_00110;eC_number=3.1.3.-;Name=yigB;gene=yigB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADP0;locus_tag=AG-313-A10_00110;product=5-amino-6-(5-phospho-D-ribitylamino)uracil phosphatase YigB -AG-313-A10_2 Prodigal:2.6 CDS 22207 22458 . + 0 ID=AG-313-A10_00111;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00111;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 22451 22861 . - 0 ID=AG-313-A10_00112;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00121;locus_tag=AG-313-A10_00112;product=Cytochrome c5 -AG-313-A10_2 Prodigal:2.6 CDS 22880 23497 . - 0 ID=AG-313-A10_00113;Name=dsbA;gene=dsbA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0C2B2;locus_tag=AG-313-A10_00113;product=Thiol:disulfide interchange protein DsbA -AG-313-A10_2 Prodigal:2.6 CDS 23494 24147 . - 0 ID=AG-313-A10_00114;Name=cc4;gene=cc4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q52369;locus_tag=AG-313-A10_00114;product=Cytochrome c4 -AG-313-A10_2 Prodigal:2.6 CDS 24212 24796 . + 0 ID=AG-313-A10_00115;Name=engB;gene=engB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6P7;locus_tag=AG-313-A10_00115;product=putative GTP-binding protein EngB -AG-313-A10_2 Prodigal:2.6 CDS 24789 25313 . + 0 ID=AG-313-A10_00116;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00116;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 25318 28017 . - 0 ID=AG-313-A10_00117;eC_number=2.7.7.7;Name=polA;gene=polA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00582;locus_tag=AG-313-A10_00117;product=DNA polymerase I -AG-313-A10_2 Prodigal:2.6 CDS 28100 28603 . + 0 ID=AG-313-A10_00118;Name=dsbB;gene=dsbB;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00286;locus_tag=AG-313-A10_00118;product=Disulfide bond formation protein B -AG-313-A10_2 Prodigal:2.6 CDS 28774 30315 . + 0 ID=AG-313-A10_00119;eC_number=4.1.1.49;Name=pckA;gene=pckA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P99128;locus_tag=AG-313-A10_00119;product=Phosphoenolpyruvate carboxykinase [ATP] -AG-313-A10_2 Prodigal:2.6 CDS 30325 31857 . + 0 ID=AG-313-A10_00120;eC_number=6.3.2.2;Name=gshA;gene=gshA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6W9;locus_tag=AG-313-A10_00120;product=Glutamate--cysteine ligase -AG-313-A10_2 Prodigal:2.6 CDS 31866 32864 . + 0 ID=AG-313-A10_00121;eC_number=1.6.5.5;Name=qorA;gene=qorA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P28304;locus_tag=AG-313-A10_00121;product=Quinone oxidoreductase 1 -AG-313-A10_2 Prodigal:2.6 CDS 32857 33732 . + 0 ID=AG-313-A10_00122;eC_number=3.1.3.48;Name=iphP;gene=iphP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q05918;locus_tag=AG-313-A10_00122;product=Tyrosine-protein phosphatase -AG-313-A10_2 Prodigal:2.6 CDS 33729 34379 . - 0 ID=AG-313-A10_00123;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00123;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 34382 35245 . - 0 ID=AG-313-A10_00124;eC_number=2.5.1.-;Name=ctaB;gene=ctaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3J5F9;locus_tag=AG-313-A10_00124;product=Protoheme IX farnesyltransferase -AG-313-A10_2 Prodigal:2.6 CDS 35238 36209 . - 0 ID=AG-313-A10_00125;eC_number=1.3.-.-;Name=ctaA;gene=ctaA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3IXW9;locus_tag=AG-313-A10_00125;product=Heme A synthase -AG-313-A10_2 Prodigal:2.6 CDS 36206 36745 . - 0 ID=AG-313-A10_00126;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00126;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 36742 37446 . - 0 ID=AG-313-A10_00127;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00127;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 37470 37682 . + 0 ID=AG-313-A10_00128;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00128;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 37683 38588 . - 0 ID=AG-313-A10_00129;eC_number=1.9.3.1;Name=ctaE;gene=ctaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06030;locus_tag=AG-313-A10_00129;product=Cytochrome c oxidase subunit 3 -AG-313-A10_2 Prodigal:2.6 CDS 38585 39175 . - 0 ID=AG-313-A10_00130;Name=ctaG;gene=ctaG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P56940;locus_tag=AG-313-A10_00130;product=Cytochrome c oxidase assembly protein CtaG -AG-313-A10_2 Prodigal:2.6 CDS 39175 40761 . - 0 ID=AG-313-A10_00131;eC_number=1.9.3.1;Name=ctaD;gene=ctaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P31833;locus_tag=AG-313-A10_00131;product=Cytochrome c oxidase subunit 1 -AG-313-A10_2 Prodigal:2.6 CDS 40776 41927 . - 0 ID=AG-313-A10_00132;eC_number=1.9.3.1;Name=ctaC;gene=ctaC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q04441;locus_tag=AG-313-A10_00132;product=Cytochrome c oxidase subunit 2 -AG-313-A10_2 Prodigal:2.6 CDS 42083 42295 . - 0 ID=AG-313-A10_00133;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00133;product=hypothetical protein -AG-313-A10_2 Prodigal:2.6 CDS 42288 43094 . - 0 ID=AG-313-A10_00134;eC_number=1.1.1.25;Name=aroE;gene=aroE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KVT3;locus_tag=AG-313-A10_00134;product=Shikimate dehydrogenase (NADP(+)) -AG-313-A10_2 Prodigal:2.6 CDS 43095 44021 . - 0 ID=AG-313-A10_00135;eC_number=1.3.3.3;Name=hemF;gene=hemF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P36553;locus_tag=AG-313-A10_00135;product=Oxygen-dependent coproporphyrinogen-III oxidase -AG-313-A10_2 Prodigal:2.6 CDS 44014 44571 . - 0 ID=AG-313-A10_00136;eC_number=2.7.7.87;Name=tsaC;gene=tsaC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45748;locus_tag=AG-313-A10_00136;product=Threonylcarbamoyl-AMP synthase -AG-313-A10_2 Prodigal:2.6 CDS 44577 45071 . - 0 ID=AG-313-A10_00137;eC_number=5.4.99.18;Name=purE;gene=purE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WHM1;locus_tag=AG-313-A10_00137;product=N5-carboxyaminoimidazole ribonucleotide mutase -AG-313-A10_2 Prodigal:2.6 CDS 45135 45626 . + 0 ID=AG-313-A10_00138;eC_number=3.5.1.88;Name=def;gene=def;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I7A8;locus_tag=AG-313-A10_00138;product=Peptide deformylase -AG-313-A10_2 Prodigal:2.6 CDS 45664 46584 . + 0 ID=AG-313-A10_00139;eC_number=2.1.2.9;Name=fmt;gene=fmt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZJ80;locus_tag=AG-313-A10_00139;product=Methionyl-tRNA formyltransferase -AG-313-A10_2 Prodigal:2.6 CDS 46637 47995 . + 0 ID=AG-313-A10_00140;Name=trkA;gene=trkA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGI8;locus_tag=AG-313-A10_00140;product=Trk system potassium uptake protein TrkA -AG-313-A10_2 Prodigal:2.6 CDS 47995 49437 . + 0 ID=AG-313-A10_00141;Name=trkH;gene=trkH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:E1V6C5;locus_tag=AG-313-A10_00141;product=Trk system potassium uptake protein TrkH -AG-313-A10_2 Prodigal:2.6 CDS 49434 50297 . - 0 ID=AG-313-A10_00142;eC_number=2.3.1.242;Name=lpxP;gene=lpxP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACV2;locus_tag=AG-313-A10_00142;product=Lipid A biosynthesis palmitoleoyltransferase -AG-313-A10_2 Prodigal:2.6 CDS 50452 51798 . + 0 ID=AG-313-A10_00143;eC_number=6.1.1.14;Name=glyQS;gene=glyQS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P56206;locus_tag=AG-313-A10_00143;product=Glycine--tRNA ligase -AG-313-A10_2 Prodigal:2.6 CDS 51976 52524 . + 0 ID=AG-313-A10_00144;eC_number=2.3.1.51;Name=plsC;gene=plsC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26647;locus_tag=AG-313-A10_00144;product=1-acyl-sn-glycerol-3-phosphate acyltransferase -AG-313-A10_2 Prodigal:2.6 CDS 52521 54446 . - 0 ID=AG-313-A10_00145;eC_number=5.99.1.3;Name=gyrB;gene=gyrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AES6;locus_tag=AG-313-A10_00145;product=DNA gyrase subunit B -AG-313-A10_2 Prodigal:2.6 CDS 54452 55531 . - 0 ID=AG-313-A10_00146;Name=recF;gene=recF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7H0;locus_tag=AG-313-A10_00146;product=DNA replication and repair protein RecF -AG-313-A10_2 Prodigal:2.6 CDS 55536 56633 . - 0 ID=AG-313-A10_00147;eC_number=2.7.7.7;Name=dnaN;gene=dnaN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A988;locus_tag=AG-313-A10_00147;product=DNA polymerase III subunit beta -AG-313-A10_3 Prodigal:2.6 CDS 64 819 . + 0 ID=AG-313-A10_00148;eC_number=6.2.1.5;Name=sucC;gene=sucC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A836;locus_tag=AG-313-A10_00148;product=Succinyl-CoA ligase [ADP-forming] subunit beta -AG-313-A10_3 Prodigal:2.6 CDS 816 1685 . + 0 ID=AG-313-A10_00149;eC_number=6.2.1.5;Name=sucD;gene=sucD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGE9;locus_tag=AG-313-A10_00149;product=Succinyl-CoA ligase [ADP-forming] subunit alpha -AG-313-A10_3 Prodigal:2.6 CDS 1666 2958 . - 0 ID=AG-313-A10_00150;Name=norM_1;gene=norM_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O82855;locus_tag=AG-313-A10_00150;product=Multidrug resistance protein NorM -AG-313-A10_3 Prodigal:2.6 CDS 3150 3821 . + 0 ID=AG-313-A10_00151;eC_number=2.3.1.18;Name=lacA;gene=lacA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07464;locus_tag=AG-313-A10_00151;product=Galactoside O-acetyltransferase -AG-313-A10_3 Prodigal:2.6 CDS 3818 4948 . + 0 ID=AG-313-A10_00152;eC_number=1.1.1.290;Name=pdxB;gene=pdxB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I3W9;locus_tag=AG-313-A10_00152;product=Erythronate-4-phosphate dehydrogenase -AG-313-A10_3 Prodigal:2.6 CDS 4925 6349 . - 0 ID=AG-313-A10_00153;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00153;product=hypothetical protein -AG-313-A10_3 Prodigal:2.6 CDS 6350 7372 . - 0 ID=AG-313-A10_00154;eC_number=1.2.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIB7;locus_tag=AG-313-A10_00154;product=Phthiodiolone/phenolphthiodiolone dimycocerosates ketoreductase -AG-313-A10_3 Prodigal:2.6 CDS 7375 9009 . - 0 ID=AG-313-A10_00155;eC_number=6.2.1.42;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:E3UUE6;locus_tag=AG-313-A10_00155;product=3-oxocholest-4-en-26-oate--CoA ligase -AG-313-A10_3 Prodigal:2.6 CDS 9009 10583 . - 0 ID=AG-313-A10_00156;eC_number=6.2.1.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQ37;locus_tag=AG-313-A10_00156;product=Long-chain-fatty-acid--CoA ligase FadD13 -AG-313-A10_3 Prodigal:2.6 CDS 10678 11400 . + 0 ID=AG-313-A10_00157;Name=yhhQ;gene=yhhQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37619;locus_tag=AG-313-A10_00157;product=Inner membrane protein YhhQ -AG-313-A10_3 Prodigal:2.6 CDS 11461 11859 . + 0 ID=AG-313-A10_00158;eC_number=1.8.4.12;Name=msrB;gene=msrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A746;locus_tag=AG-313-A10_00158;product=Peptide methionine sulfoxide reductase MsrB -AG-313-A10_3 Prodigal:2.6 CDS 11860 13407 . + 0 ID=AG-313-A10_00159;Name=murJ;gene=murJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37169;locus_tag=AG-313-A10_00159;product=Putative lipid II flippase MurJ -AG-313-A10_3 Prodigal:2.6 CDS 13407 14351 . + 0 ID=AG-313-A10_00160;Name=ribF;gene=ribF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG40;locus_tag=AG-313-A10_00160;product=Riboflavin biosynthesis protein RibF -AG-313-A10_3 Prodigal:2.6 CDS 14358 17129 . + 0 ID=AG-313-A10_00161;eC_number=6.1.1.5;Name=ileS;gene=ileS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00956;locus_tag=AG-313-A10_00161;product=Isoleucine--tRNA ligase -AG-313-A10_3 Prodigal:2.6 CDS 17098 17598 . + 0 ID=AG-313-A10_00162;eC_number=3.4.23.36;Name=lspA;gene=lspA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00804;locus_tag=AG-313-A10_00162;product=Lipoprotein signal peptidase -AG-313-A10_3 Prodigal:2.6 CDS 17595 18536 . + 0 ID=AG-313-A10_00163;eC_number=1.17.1.2;Name=ispH;gene=ispH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P62623;locus_tag=AG-313-A10_00163;product=4-hydroxy-3-methylbut-2-enyl diphosphate reductase -AG-313-A10_3 Prodigal:2.6 CDS 18607 19143 . + 0 ID=AG-313-A10_00164;eC_number=3.5.1.28;Name=ampD;gene=ampD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P82974;locus_tag=AG-313-A10_00164;product=1%2C6-anhydro-N-acetylmuramyl-L-alanine amidase AmpD -AG-313-A10_3 Prodigal:2.6 CDS 19116 20384 . + 0 ID=AG-313-A10_00165;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00165;product=hypothetical protein -AG-313-A10_3 Prodigal:2.6 CDS 20365 20715 . + 0 ID=AG-313-A10_00166;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00166;product=hypothetical protein -AG-313-A10_3 Prodigal:2.6 CDS 20795 21082 . + 0 ID=AG-313-A10_00167;Name=groS;gene=groS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26879;locus_tag=AG-313-A10_00167;product=10 kDa chaperonin -AG-313-A10_3 Prodigal:2.6 CDS 21115 22767 . + 0 ID=AG-313-A10_00168;Name=groL;gene=groL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P30718;locus_tag=AG-313-A10_00168;product=60 kDa chaperonin -AG-313-A10_3 Prodigal:2.6 CDS 22867 23496 . + 0 ID=AG-313-A10_00169;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00169;product=hypothetical protein -AG-313-A10_3 Prodigal:2.6 CDS 23526 24779 . - 0 ID=AG-313-A10_00170;Name=corC_1;gene=corC_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AE78;locus_tag=AG-313-A10_00170;product=Magnesium and cobalt efflux protein CorC -AG-313-A10_3 Prodigal:2.6 CDS 24787 25386 . - 0 ID=AG-313-A10_00171;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00171;product=hypothetical protein -AG-313-A10_3 Prodigal:2.6 CDS 25451 26035 . + 0 ID=AG-313-A10_00172;Name=rpsP;gene=rpsP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7T3;locus_tag=AG-313-A10_00172;product=30S ribosomal protein S16 -AG-313-A10_3 Prodigal:2.6 CDS 26022 26558 . + 0 ID=AG-313-A10_00173;Name=rimM;gene=rimM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HXQ0;locus_tag=AG-313-A10_00173;product=Ribosome maturation factor RimM -AG-313-A10_3 Prodigal:2.6 CDS 26564 27295 . + 0 ID=AG-313-A10_00174;eC_number=2.1.1.228;Name=trmD;gene=trmD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6GHJ5;locus_tag=AG-313-A10_00174;product=tRNA (guanine-N(1)-)-methyltransferase -AG-313-A10_3 Prodigal:2.6 CDS 27316 28149 . + 0 ID=AG-313-A10_00175;Name=rplS;gene=rplS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7K6;locus_tag=AG-313-A10_00175;product=50S ribosomal protein L19 -AG-313-A10_3 Prodigal:2.6 CDS 28153 29055 . + 0 ID=AG-313-A10_00176;Name=xerD;gene=xerD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O31206;locus_tag=AG-313-A10_00176;product=Tyrosine recombinase XerD -AG-313-A10_3 Prodigal:2.6 CDS 29061 29771 . + 0 ID=AG-313-A10_00177;Name=dsbC;gene=dsbC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEG6;locus_tag=AG-313-A10_00177;product=Thiol:disulfide interchange protein DsbC -AG-313-A10_3 Prodigal:2.6 CDS 29773 31026 . + 0 ID=AG-313-A10_00178;eC_number=1.1.1.3;Name=hom;gene=hom;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08499;locus_tag=AG-313-A10_00178;product=Homoserine dehydrogenase -AG-313-A10_3 Prodigal:2.6 CDS 31026 32402 . + 0 ID=AG-313-A10_00179;eC_number=4.2.3.1;Name=thrC;gene=thrC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23669;locus_tag=AG-313-A10_00179;product=Threonine synthase -AG-313-A10_3 Prodigal:2.6 CDS 32412 32990 . + 0 ID=AG-313-A10_00180;eC_number=2.3.1.189;Name=mshD;gene=mshD;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01698;locus_tag=AG-313-A10_00180;product=Mycothiol acetyltransferase -AG-313-A10_3 Prodigal:2.6 CDS 33140 34183 . + 0 ID=AG-313-A10_00181;Name=prfB;gene=prfB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07012;locus_tag=AG-313-A10_00181;product=Peptide chain release factor 2 -AG-313-A10_3 Prodigal:2.6 CDS 34184 35674 . + 0 ID=AG-313-A10_00182;eC_number=6.1.1.6;Name=lysS;gene=lysS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8N3;locus_tag=AG-313-A10_00182;product=Lysine--tRNA ligase -AG-313-A10_3 Prodigal:2.6 CDS 35685 36335 . + 0 ID=AG-313-A10_00183;eC_number=3.4.-.-;Name=prsW;gene=prsW;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P50738;locus_tag=AG-313-A10_00183;product=Protease PrsW -AG-313-A10_3 Prodigal:2.6 CDS 36341 36790 . - 0 ID=AG-313-A10_00184;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00184;product=hypothetical protein -AG-313-A10_3 Prodigal:2.6 CDS 36791 37789 . - 0 ID=AG-313-A10_00185;eC_number=1.1.1.37;Name=mdh;gene=mdh;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10584;locus_tag=AG-313-A10_00185;product=Malate dehydrogenase -AG-313-A10_3 Prodigal:2.6 CDS 37798 38394 . - 0 ID=AG-313-A10_00186;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00186;product=hypothetical protein -AG-313-A10_3 Prodigal:2.6 CDS 38444 39667 . + 0 ID=AG-313-A10_00187;eC_number=1.18.1.5;Name=camA;gene=camA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P16640;locus_tag=AG-313-A10_00187;product=Putidaredoxin reductase -AG-313-A10_3 Prodigal:2.6 CDS 39699 40604 . + 0 ID=AG-313-A10_00188;eC_number=1.1.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P96825;locus_tag=AG-313-A10_00188;product=Putative short-chain type dehydrogenase/reductase -AG-313-A10_3 Prodigal:2.6 CDS 40601 41212 . - 0 ID=AG-313-A10_00189;eC_number=2.5.1.18;Name=gstB_1;gene=gstB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15214;locus_tag=AG-313-A10_00189;product=Glutathione S-transferase GST-6.0 -AG-313-A10_3 Prodigal:2.6 CDS 41199 41462 . - 0 ID=AG-313-A10_00190;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00190;product=hypothetical protein -AG-313-A10_3 Prodigal:2.6 CDS 41465 42787 . - 0 ID=AG-313-A10_00191;Name=lgoT;gene=lgoT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39398;locus_tag=AG-313-A10_00191;product=putative L-galactonate transporter -AG-313-A10_3 Prodigal:2.6 CDS 42868 44112 . - 0 ID=AG-313-A10_00192;eC_number=1.17.4.1;Name=nrdB;gene=nrdB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O84835;locus_tag=AG-313-A10_00192;product=Ribonucleoside-diphosphate reductase subunit beta -AG-313-A10_3 Prodigal:2.6 CDS 44127 47021 . - 0 ID=AG-313-A10_00193;eC_number=1.17.4.1;Name=nrdA;gene=nrdA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00452;locus_tag=AG-313-A10_00193;product=Ribonucleoside-diphosphate reductase 1 subunit alpha -AG-313-A10_3 Prodigal:2.6 CDS 47275 48738 . + 0 ID=AG-313-A10_00194;eC_number=2.7.1.30;Name=glpK;gene=glpK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P18157;locus_tag=AG-313-A10_00194;product=Glycerol kinase -AG-313-A10_3 Prodigal:2.6 CDS 48910 50094 . + 0 ID=AG-313-A10_00195;eC_number=1.1.1.95;Name=serA;gene=serA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9T0;locus_tag=AG-313-A10_00195;product=D-3-phosphoglycerate dehydrogenase -AG-313-A10_3 Prodigal:2.6 CDS 50099 51205 . - 0 ID=AG-313-A10_00196;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32382;locus_tag=AG-313-A10_00196;product=NADH oxidase -AG-313-A10_3 Prodigal:2.6 CDS 51511 52185 . + 0 ID=AG-313-A10_00197;eC_number=3.2.2.27;Name=ung;gene=ung;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83CW4;locus_tag=AG-313-A10_00197;product=Uracil-DNA glycosylase -AG-313-A10_3 Prodigal:2.6 CDS 52178 52951 . - 0 ID=AG-313-A10_00198;Name=ygfZ;gene=ygfZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADE8;locus_tag=AG-313-A10_00198;product=tRNA-modifying protein YgfZ -AG-313-A10_3 Prodigal:2.6 CDS 52999 53247 . + 0 ID=AG-313-A10_00199;Name=cptB;gene=cptB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64559;locus_tag=AG-313-A10_00199;product=Antitoxin CptB -AG-313-A10_4 Prodigal:2.6 CDS 530 802 . + 0 ID=AG-313-A10_00200;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00200;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 1098 2519 . - 0 ID=AG-313-A10_00201;eC_number=1.2.1.68;Name=calB;gene=calB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O86447;locus_tag=AG-313-A10_00201;product=Coniferyl aldehyde dehydrogenase -AG-313-A10_4 Prodigal:2.6 CDS 2592 3470 . - 0 ID=AG-313-A10_00202;eC_number=1.3.1.34;Name=fadH;gene=fadH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34717;locus_tag=AG-313-A10_00202;product=putative 2%2C4-dienoyl-CoA reductase -AG-313-A10_4 Prodigal:2.6 CDS 3481 4488 . - 0 ID=AG-313-A10_00203;eC_number=4.99.1.1;Name=hemH;gene=hemH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23871;locus_tag=AG-313-A10_00203;product=Ferrochelatase -AG-313-A10_4 Prodigal:2.6 CDS 4460 5665 . - 0 ID=AG-313-A10_00204;Name=tetA;gene=tetA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P02980;locus_tag=AG-313-A10_00204;product=Tetracycline resistance protein%2C class B -AG-313-A10_4 Prodigal:2.6 CDS 5658 6656 . - 0 ID=AG-313-A10_00205;eC_number=6.1.1.2;Name=trpS;gene=trpS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PIB4;locus_tag=AG-313-A10_00205;product=Tryptophan--tRNA ligase -AG-313-A10_4 Prodigal:2.6 CDS 6691 8118 . + 0 ID=AG-313-A10_00206;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00206;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 8093 9463 . - 0 ID=AG-313-A10_00207;Name=norM_2;gene=norM_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O82855;locus_tag=AG-313-A10_00207;product=Multidrug resistance protein NorM -AG-313-A10_4 Prodigal:2.6 CDS 9467 9712 . - 0 ID=AG-313-A10_00208;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00208;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 9837 11261 . - 0 ID=AG-313-A10_00209;Name=yicJ;gene=yicJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P31435;locus_tag=AG-313-A10_00209;product=Inner membrane symporter YicJ -AG-313-A10_4 Prodigal:2.6 CDS 11291 12235 . - 0 ID=AG-313-A10_00210;eC_number=3.1.1.95;Name=rdmC;gene=rdmC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q54528;locus_tag=AG-313-A10_00210;product=Aclacinomycin methylesterase RdmC -AG-313-A10_4 Prodigal:2.6 CDS 12225 13331 . - 0 ID=AG-313-A10_00211;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00211;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 13336 13740 . - 0 ID=AG-313-A10_00212;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00212;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 13790 15112 . + 0 ID=AG-313-A10_00213;eC_number=3.1.1.-;Name=estB;gene=estB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KX40;locus_tag=AG-313-A10_00213;product=Esterase EstB -AG-313-A10_4 Aragorn:1.2 tRNA 15116 15205 . - . ID=AG-313-A10_00214;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00214;product=tRNA-Ser(tga) -AG-313-A10_4 Prodigal:2.6 CDS 15448 15663 . + 0 ID=AG-313-A10_00215;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00215;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 15668 16264 . + 0 ID=AG-313-A10_00216;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00216;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 16357 17643 . + 0 ID=AG-313-A10_00217;Name=adiC;gene=adiC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60066;locus_tag=AG-313-A10_00217;product=Arginine/agmatine antiporter -AG-313-A10_4 Prodigal:2.6 CDS 17648 18514 . + 0 ID=AG-313-A10_00218;eC_number=3.5.3.18;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I4E3;locus_tag=AG-313-A10_00218;product=N(G)%2CN(G)-dimethylarginine dimethylaminohydrolase -AG-313-A10_4 Prodigal:2.6 CDS 18518 19678 . + 0 ID=AG-313-A10_00219;eC_number=1.14.12.12;Name=doxB;gene=doxB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A111;locus_tag=AG-313-A10_00219;product=Naphthalene 1%2C2-dioxygenase subunit alpha -AG-313-A10_4 Prodigal:2.6 CDS 19702 19920 . - 0 ID=AG-313-A10_00220;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00220;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 20038 20580 . - 0 ID=AG-313-A10_00221;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00221;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 20661 21056 . + 0 ID=AG-313-A10_00222;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00222;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 21058 21495 . - 0 ID=AG-313-A10_00223;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00223;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 21495 22187 . - 0 ID=AG-313-A10_00224;eC_number=3.4.13.21;Name=pepE;gene=pepE;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00510;locus_tag=AG-313-A10_00224;product=Peptidase E -AG-313-A10_4 Prodigal:2.6 CDS 22214 23815 . + 0 ID=AG-313-A10_00225;eC_number=1.1.99.-;Name=alkJ;gene=alkJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q00593;locus_tag=AG-313-A10_00225;product=Alcohol dehydrogenase [acceptor] -AG-313-A10_4 Prodigal:2.6 CDS 23812 25479 . - 0 ID=AG-313-A10_00226;eC_number=3.5.1.91;Name=nfdA_1;gene=nfdA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q68AP4;locus_tag=AG-313-A10_00226;product=N-substituted formamide deformylase -AG-313-A10_4 Prodigal:2.6 CDS 25492 26229 . - 0 ID=AG-313-A10_00227;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A3L9;locus_tag=AG-313-A10_00227;product=putative oxidoreductase -AG-313-A10_4 Prodigal:2.6 CDS 26230 26919 . - 0 ID=AG-313-A10_00228;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00228;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 26926 27687 . - 0 ID=AG-313-A10_00229;eC_number=1.1.1.-;Name=linC;gene=linC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P50197;locus_tag=AG-313-A10_00229;product=2%2C5-dichloro-2%2C5-cyclohexadiene-1%2C4-diol dehydrogenase -AG-313-A10_4 Prodigal:2.6 CDS 27689 28609 . - 0 ID=AG-313-A10_00230;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00230;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 28644 29756 . + 0 ID=AG-313-A10_00231;eC_number=2.3.1.207;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HYV7;locus_tag=AG-313-A10_00231;product=Beta-ketodecanoyl-[acyl-carrier-protein] synthase -AG-313-A10_4 Prodigal:2.6 CDS 29761 30192 . + 0 ID=AG-313-A10_00232;Name=crtK-2;gene=crtK-2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8KBX2;locus_tag=AG-313-A10_00232;product=Tryptophan-rich protein TspO -AG-313-A10_4 Prodigal:2.6 CDS 30189 31451 . - 0 ID=AG-313-A10_00233;Name=nupX;gene=nupX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33021;locus_tag=AG-313-A10_00233;product=Nucleoside permease NupX -AG-313-A10_4 Prodigal:2.6 CDS 31455 32360 . - 0 ID=AG-313-A10_00234;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00234;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 32419 35640 . - 0 ID=AG-313-A10_00235;Name=fepA;gene=fepA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05825;locus_tag=AG-313-A10_00235;product=Ferrienterobactin receptor -AG-313-A10_4 Prodigal:2.6 CDS 35740 36984 . - 0 ID=AG-313-A10_00236;eC_number=6.1.1.11;Name=serS;gene=serS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8L1;locus_tag=AG-313-A10_00236;product=Serine--tRNA ligase -AG-313-A10_4 Prodigal:2.6 CDS 36987 37352 . - 0 ID=AG-313-A10_00237;Name=crcB;gene=crcB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37002;locus_tag=AG-313-A10_00237;product=Putative fluoride ion transporter CrcB -AG-313-A10_4 Prodigal:2.6 CDS 37349 37858 . - 0 ID=AG-313-A10_00238;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00238;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 37855 39921 . - 0 ID=AG-313-A10_00239;Name=ftsK;gene=ftsK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I0M3;locus_tag=AG-313-A10_00239;product=DNA translocase FtsK -AG-313-A10_4 Prodigal:2.6 CDS 40278 41213 . + 0 ID=AG-313-A10_00240;eC_number=4.3.1.9;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93HX6;locus_tag=AG-313-A10_00240;product=Glucosaminate ammonia-lyase -AG-313-A10_4 Prodigal:2.6 CDS 41214 41345 . - 0 ID=AG-313-A10_00241;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00241;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 41348 42331 . - 0 ID=AG-313-A10_00242;eC_number=1.3.1.84;Name=acuI;gene=acuI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26646;locus_tag=AG-313-A10_00242;product=putative acrylyl-CoA reductase AcuI -AG-313-A10_4 Prodigal:2.6 CDS 42331 43101 . - 0 ID=AG-313-A10_00243;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WGQ7;locus_tag=AG-313-A10_00243;product=putative oxidoreductase -AG-313-A10_4 Prodigal:2.6 CDS 43236 43826 . + 0 ID=AG-313-A10_00244;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00244;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 43901 44239 . + 0 ID=AG-313-A10_00245;Name=glnK;gene=glnK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC55;locus_tag=AG-313-A10_00245;product=Nitrogen regulatory protein P-II 2 -AG-313-A10_4 Prodigal:2.6 CDS 44252 45538 . + 0 ID=AG-313-A10_00246;Name=amtB;gene=amtB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69681;locus_tag=AG-313-A10_00246;product=Ammonia channel -AG-313-A10_4 Prodigal:2.6 CDS 45535 46668 . - 0 ID=AG-313-A10_00247;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00247;product=hypothetical protein -AG-313-A10_4 Prodigal:2.6 CDS 46673 46879 . - 0 ID=AG-313-A10_00248;eC_number=4.1.1.3;Name=oadB;gene=oadB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P13156;locus_tag=AG-313-A10_00248;product=Oxaloacetate decarboxylase beta chain -AG-313-A10_5 Prodigal:2.6 CDS 154 540 . + 0 ID=AG-313-A10_00249;eC_number=1.17.1.8;Name=dapB;gene=dapB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X1K8;locus_tag=AG-313-A10_00249;product=4-hydroxy-tetrahydrodipicolinate reductase -AG-313-A10_5 Prodigal:2.6 CDS 669 1631 . + 0 ID=AG-313-A10_00250;Name=rpsB;gene=rpsB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7V0;locus_tag=AG-313-A10_00250;product=30S ribosomal protein S2 -AG-313-A10_5 Prodigal:2.6 CDS 1628 2485 . + 0 ID=AG-313-A10_00251;Name=tsf;gene=tsf;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X5U9;locus_tag=AG-313-A10_00251;product=Elongation factor Ts -AG-313-A10_5 Prodigal:2.6 CDS 2482 3195 . + 0 ID=AG-313-A10_00252;eC_number=2.7.4.22;Name=pyrH;gene=pyrH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7E9;locus_tag=AG-313-A10_00252;product=Uridylate kinase -AG-313-A10_5 Prodigal:2.6 CDS 3198 3752 . + 0 ID=AG-313-A10_00253;Name=frr;gene=frr;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P81101;locus_tag=AG-313-A10_00253;product=Ribosome-recycling factor -AG-313-A10_5 Prodigal:2.6 CDS 3773 4504 . + 0 ID=AG-313-A10_00254;eC_number=2.5.1.31;Name=ispU;gene=ispU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60472;locus_tag=AG-313-A10_00254;product=Ditrans%2Cpolycis-undecaprenyl-diphosphate synthase ((2E%2C6E)-farnesyl-diphosphate specific) -AG-313-A10_5 Prodigal:2.6 CDS 4485 5297 . + 0 ID=AG-313-A10_00255;eC_number=2.7.7.41;Name=cdsA;gene=cdsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABG1;locus_tag=AG-313-A10_00255;product=Phosphatidate cytidylyltransferase -AG-313-A10_5 Prodigal:2.6 CDS 5294 6445 . + 0 ID=AG-313-A10_00256;eC_number=1.1.1.267;Name=dxr;gene=dxr;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X5F2;locus_tag=AG-313-A10_00256;product=1-deoxy-D-xylulose 5-phosphate reductoisomerase -AG-313-A10_5 Prodigal:2.6 CDS 6459 7802 . + 0 ID=AG-313-A10_00257;eC_number=3.4.24.-;Name=rseP;gene=rseP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEH1;locus_tag=AG-313-A10_00257;product=Regulator of sigma-E protease RseP -AG-313-A10_5 Prodigal:2.6 CDS 7811 10222 . + 0 ID=AG-313-A10_00258;Name=bamA;gene=bamA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A943;locus_tag=AG-313-A10_00258;product=Outer membrane protein assembly factor BamA -AG-313-A10_5 Prodigal:2.6 CDS 10292 10825 . + 0 ID=AG-313-A10_00259;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00259;product=hypothetical protein -AG-313-A10_5 Prodigal:2.6 CDS 10828 11760 . + 0 ID=AG-313-A10_00260;eC_number=2.3.1.191;Name=lpxD;gene=lpxD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A1X4;locus_tag=AG-313-A10_00260;product=UDP-3-O-(3-hydroxymyristoyl)glucosamine N-acyltransferase -AG-313-A10_5 Prodigal:2.6 CDS 11757 12197 . + 0 ID=AG-313-A10_00261;eC_number=4.2.1.59;Name=fabZ;gene=fabZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HXY7;locus_tag=AG-313-A10_00261;product=3-hydroxyacyl-[acyl-carrier-protein] dehydratase FabZ -AG-313-A10_5 Prodigal:2.6 CDS 12200 12967 . + 0 ID=AG-313-A10_00262;eC_number=2.3.1.129;Name=lpxA;gene=lpxA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A6V1E4;locus_tag=AG-313-A10_00262;product=Acyl-[acyl-carrier-protein]--UDP-N-acetylglucosamine O-acyltransferase -AG-313-A10_5 Prodigal:2.6 CDS 12968 14092 . + 0 ID=AG-313-A10_00263;eC_number=2.4.1.182;Name=lpxB;gene=lpxB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10441;locus_tag=AG-313-A10_00263;product=Lipid-A-disaccharide synthase -AG-313-A10_5 Prodigal:2.6 CDS 14089 14631 . + 0 ID=AG-313-A10_00264;eC_number=3.1.26.4;Name=rnhB;gene=rnhB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10442;locus_tag=AG-313-A10_00264;product=Ribonuclease HII -AG-313-A10_5 Prodigal:2.6 CDS 14636 18088 . + 0 ID=AG-313-A10_00265;eC_number=2.7.7.7;Name=dnaE;gene=dnaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10443;locus_tag=AG-313-A10_00265;product=DNA polymerase III subunit alpha -AG-313-A10_5 Prodigal:2.6 CDS 18085 19029 . + 0 ID=AG-313-A10_00266;eC_number=6.4.1.2;Name=accA;gene=accA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABD5;locus_tag=AG-313-A10_00266;product=Acetyl-coenzyme A carboxylase carboxyl transferase subunit alpha -AG-313-A10_5 Prodigal:2.6 CDS 19047 19997 . + 0 ID=AG-313-A10_00267;eC_number=6.3.4.19;Name=tilS;gene=tilS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P52097;locus_tag=AG-313-A10_00267;product=tRNA(Ile)-lysidine synthase -AG-313-A10_5 Prodigal:2.6 CDS 20019 20792 . + 0 ID=AG-313-A10_00268;eC_number=5.3.3.18;Name=paaG;gene=paaG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77467;locus_tag=AG-313-A10_00268;product=1%2C2-epoxyphenylacetyl-CoA isomerase -AG-313-A10_5 Prodigal:2.6 CDS 20785 22455 . - 0 ID=AG-313-A10_00269;eC_number=2.3.3.13;Name=leuA;gene=leuA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQB3;locus_tag=AG-313-A10_00269;product=2-isopropylmalate synthase -AG-313-A10_5 Prodigal:2.6 CDS 22469 22903 . + 0 ID=AG-313-A10_00270;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00270;product=hypothetical protein -AG-313-A10_5 Prodigal:2.6 CDS 22904 23344 . + 0 ID=AG-313-A10_00271;eC_number=2.3.1.57;Name=bltD;gene=bltD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39909;locus_tag=AG-313-A10_00271;product=Spermine/spermidine acetyltransferase -AG-313-A10_5 Prodigal:2.6 CDS 23346 23825 . - 0 ID=AG-313-A10_00272;eC_number=1.11.1.22;Name=gpx1_1;gene=gpx1_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P74250;locus_tag=AG-313-A10_00272;product=Hydroperoxy fatty acid reductase gpx1 -AG-313-A10_5 Prodigal:2.6 CDS 23883 25184 . + 0 ID=AG-313-A10_00273;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00273;product=hypothetical protein -AG-313-A10_5 Prodigal:2.6 CDS 25156 26361 . + 0 ID=AG-313-A10_00274;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00274;product=hypothetical protein -AG-313-A10_5 Prodigal:2.6 CDS 26358 27227 . + 0 ID=AG-313-A10_00275;eC_number=1.1.98.2;Name=fgd;gene=fgd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0QQJ4;locus_tag=AG-313-A10_00275;product=F420-dependent glucose-6-phosphate dehydrogenase -AG-313-A10_5 Prodigal:2.6 CDS 27285 28289 . + 0 ID=AG-313-A10_00276;eC_number=2.3.1.109;Name=aruG;gene=aruG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80358;locus_tag=AG-313-A10_00276;product=Arginine N-succinyltransferase subunit beta -AG-313-A10_5 Prodigal:2.6 CDS 28289 29698 . + 0 ID=AG-313-A10_00277;eC_number=1.2.1.71;Name=astD;gene=astD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76217;locus_tag=AG-313-A10_00277;product=N-succinylglutamate 5-semialdehyde dehydrogenase -AG-313-A10_5 Prodigal:2.6 CDS 29699 31024 . + 0 ID=AG-313-A10_00278;eC_number=3.5.3.23;Name=astB;gene=astB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76216;locus_tag=AG-313-A10_00278;product=N-succinylarginine dihydrolase -AG-313-A10_5 Prodigal:2.6 CDS 31188 32963 . + 0 ID=AG-313-A10_00279;eC_number=6.2.1.3;Name=lcfB_1;gene=lcfB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O07610;locus_tag=AG-313-A10_00279;product=Long-chain-fatty-acid--CoA ligase -AG-313-A10_5 Prodigal:2.6 CDS 32990 34159 . + 0 ID=AG-313-A10_00280;eC_number=1.3.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53176;locus_tag=AG-313-A10_00280;product=Putative trans-acting enoyl reductase -AG-313-A10_5 Prodigal:2.6 CDS 34184 34753 . - 0 ID=AG-313-A10_00281;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00281;product=hypothetical protein -AG-313-A10_5 Prodigal:2.6 CDS 34809 35732 . + 0 ID=AG-313-A10_00282;eC_number=1.13.12.16;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I4V0;locus_tag=AG-313-A10_00282;product=Nitronate monooxygenase -AG-313-A10_5 Prodigal:2.6 CDS 35702 36775 . + 0 ID=AG-313-A10_00283;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00283;product=hypothetical protein -AG-313-A10_5 Prodigal:2.6 CDS 36778 37863 . + 0 ID=AG-313-A10_00284;eC_number=3.8.1.5;Name=dhmA;gene=dhmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93K00;locus_tag=AG-313-A10_00284;product=Haloalkane dehalogenase -AG-313-A10_5 Prodigal:2.6 CDS 37866 38549 . + 0 ID=AG-313-A10_00285;eC_number=1.8.4.-;Name=yfcG;gene=yfcG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77526;locus_tag=AG-313-A10_00285;product=Disulfide-bond oxidoreductase YfcG -AG-313-A10_5 Prodigal:2.6 CDS 38563 39177 . + 0 ID=AG-313-A10_00286;eC_number=2.5.1.18;Name=gstB_2;gene=gstB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15214;locus_tag=AG-313-A10_00286;product=Glutathione S-transferase GST-6.0 -AG-313-A10_5 Prodigal:2.6 CDS 39180 39593 . + 0 ID=AG-313-A10_00287;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00287;product=hypothetical protein -AG-313-A10_5 Prodigal:2.6 CDS 39593 40060 . + 0 ID=AG-313-A10_00288;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00288;product=hypothetical protein -AG-313-A10_5 Prodigal:2.6 CDS 40075 41190 . + 0 ID=AG-313-A10_00289;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00289;product=hypothetical protein -AG-313-A10_6 Prodigal:2.6 CDS 160 1374 . + 0 ID=AG-313-A10_00290;eC_number=1.2.1.70;Name=hemA;gene=hemA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6X1;locus_tag=AG-313-A10_00290;product=Glutamyl-tRNA reductase -AG-313-A10_6 Prodigal:2.6 CDS 1367 2458 . + 0 ID=AG-313-A10_00291;Name=prfA;gene=prfA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7I0;locus_tag=AG-313-A10_00291;product=Peptide chain release factor 1 -AG-313-A10_6 Prodigal:2.6 CDS 2459 3283 . + 0 ID=AG-313-A10_00292;eC_number=2.1.1.297;Name=prmC;gene=prmC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACC1;locus_tag=AG-313-A10_00292;product=Release factor glutamine methyltransferase -AG-313-A10_6 Prodigal:2.6 CDS 3347 4390 . + 0 ID=AG-313-A10_00293;eC_number=3.2.1.169;Name=nagJ;gene=nagJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0TR53;locus_tag=AG-313-A10_00293;product=O-GlcNAcase NagJ -AG-313-A10_6 Prodigal:2.6 CDS 4414 6030 . + 0 ID=AG-313-A10_00294;eC_number=6.2.1.44;Name=dmdB;gene=dmdB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5LRT0;locus_tag=AG-313-A10_00294;product=3-methylmercaptopropionyl-CoA ligase -AG-313-A10_6 Prodigal:2.6 CDS 6032 6490 . + 0 ID=AG-313-A10_00295;eC_number=4.2.1.17;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WNP3;locus_tag=AG-313-A10_00295;product=putative enoyl-CoA hydratase 1 -AG-313-A10_6 Prodigal:2.6 CDS 6487 7731 . - 0 ID=AG-313-A10_00296;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00296;product=hypothetical protein -AG-313-A10_6 Prodigal:2.6 CDS 7734 8501 . - 0 ID=AG-313-A10_00297;eC_number=1.1.1.127;Name=kduD;gene=kduD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P50842;locus_tag=AG-313-A10_00297;product=2-dehydro-3-deoxy-D-gluconate 5-dehydrogenase -AG-313-A10_6 Prodigal:2.6 CDS 8508 9782 . + 0 ID=AG-313-A10_00298;eC_number=3.1.6.-;Name=yjcS;gene=yjcS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32717;locus_tag=AG-313-A10_00298;product=Putative alkyl/aryl-sulfatase YjcS -AG-313-A10_6 Prodigal:2.6 CDS 9775 10800 . + 0 ID=AG-313-A10_00299;eC_number=1.1.1.9;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q59545;locus_tag=AG-313-A10_00299;product=D-xylulose reductase -AG-313-A10_6 Prodigal:2.6 CDS 10791 11642 . + 0 ID=AG-313-A10_00300;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00300;product=hypothetical protein -AG-313-A10_6 Prodigal:2.6 CDS 11644 13074 . - 0 ID=AG-313-A10_00301;eC_number=6.3.5.-;Name=gatB;gene=gatB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVT7;locus_tag=AG-313-A10_00301;product=Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B -AG-313-A10_6 Prodigal:2.6 CDS 13071 14531 . - 0 ID=AG-313-A10_00302;eC_number=6.3.5.7;Name=gatA;gene=gatA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVT8;locus_tag=AG-313-A10_00302;product=Glutamyl-tRNA(Gln) amidotransferase subunit A -AG-313-A10_6 Prodigal:2.6 CDS 14528 14809 . - 0 ID=AG-313-A10_00303;eC_number=6.3.5.-;Name=gatC;gene=gatC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVT9;locus_tag=AG-313-A10_00303;product=Glutamyl-tRNA(Gln) amidotransferase subunit C -AG-313-A10_6 Prodigal:2.6 CDS 14884 15933 . + 0 ID=AG-313-A10_00304;Name=mreB;gene=mreB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9X4;locus_tag=AG-313-A10_00304;product=Rod shape-determining protein MreB -AG-313-A10_6 Prodigal:2.6 CDS 15944 16786 . + 0 ID=AG-313-A10_00305;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00305;product=hypothetical protein -AG-313-A10_6 Prodigal:2.6 CDS 16776 17255 . + 0 ID=AG-313-A10_00306;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00306;product=hypothetical protein -AG-313-A10_6 Prodigal:2.6 CDS 17259 20699 . + 0 ID=AG-313-A10_00307;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00307;product=hypothetical protein -AG-313-A10_6 Prodigal:2.6 CDS 20680 22035 . - 0 ID=AG-313-A10_00308;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SMG8;locus_tag=AG-313-A10_00308;product=Magnesium transporter MgtE -AG-313-A10_6 Prodigal:2.6 CDS 22066 23331 . - 0 ID=AG-313-A10_00309;Name=rpoN;gene=rpoN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A171;locus_tag=AG-313-A10_00309;product=RNA polymerase sigma-54 factor -AG-313-A10_6 Prodigal:2.6 CDS 23335 24060 . - 0 ID=AG-313-A10_00310;eC_number=3.6.3.-;Name=lptB_1;gene=lptB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45073;locus_tag=AG-313-A10_00310;product=Lipopolysaccharide export system ATP-binding protein LptB -AG-313-A10_6 Prodigal:2.6 CDS 24053 24454 . - 0 ID=AG-313-A10_00311;Name=lptA;gene=lptA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01914;locus_tag=AG-313-A10_00311;product=Lipopolysaccharide export system protein LptA -AG-313-A10_6 Prodigal:2.6 CDS 24465 25439 . - 0 ID=AG-313-A10_00312;eC_number=5.3.1.13;Name=kdsD;gene=kdsD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVW0;locus_tag=AG-313-A10_00312;product=Arabinose 5-phosphate isomerase KdsD -AG-313-A10_6 Prodigal:2.6 CDS 25479 26093 . + 0 ID=AG-313-A10_00313;Name=mlaC;gene=mlaC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADV7;locus_tag=AG-313-A10_00313;product=putative phospholipid-binding protein MlaC -AG-313-A10_6 Prodigal:2.6 CDS 26115 26336 . + 0 ID=AG-313-A10_00314;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00314;product=hypothetical protein -AG-313-A10_6 Prodigal:2.6 CDS 26339 27598 . + 0 ID=AG-313-A10_00315;eC_number=2.5.1.7;Name=murA;gene=murA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVW7;locus_tag=AG-313-A10_00315;product=UDP-N-acetylglucosamine 1-carboxyvinyltransferase -AG-313-A10_6 Prodigal:2.6 CDS 27699 28559 . + 0 ID=AG-313-A10_00316;Name=yitJ_1;gene=yitJ_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O06745;locus_tag=AG-313-A10_00316;product=Bifunctional homocysteine S-methyltransferase/5%2C10-methylenetetrahydrofolate reductase -AG-313-A10_6 Prodigal:2.6 CDS 28566 28964 . + 0 ID=AG-313-A10_00317;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00317;product=hypothetical protein -AG-313-A10_6 Prodigal:2.6 CDS 28976 29782 . + 0 ID=AG-313-A10_00318;eC_number=4.2.1.17;Name=paaF_1;gene=paaF_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76082;locus_tag=AG-313-A10_00318;product=2%2C3-dehydroadipyl-CoA hydratase -AG-313-A10_6 Prodigal:2.6 CDS 29784 30788 . - 0 ID=AG-313-A10_00319;eC_number=3.4.21.107;Name=degP;gene=degP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0C0V0;locus_tag=AG-313-A10_00319;product=Periplasmic serine endoprotease DegP -AG-313-A10_6 Prodigal:2.6 CDS 30809 31867 . + 0 ID=AG-313-A10_00320;Name=zapE;gene=zapE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64612;locus_tag=AG-313-A10_00320;product=Cell division protein ZapE -AG-313-A10_6 Prodigal:2.6 CDS 31941 32375 . + 0 ID=AG-313-A10_00321;Name=rplM;gene=rplM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AA10;locus_tag=AG-313-A10_00321;product=50S ribosomal protein L13 -AG-313-A10_6 Prodigal:2.6 CDS 32372 32764 . + 0 ID=AG-313-A10_00322;Name=rpsI;gene=rpsI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7X3;locus_tag=AG-313-A10_00322;product=30S ribosomal protein S9 -AG-313-A10_6 Prodigal:2.6 CDS 32809 33393 . + 0 ID=AG-313-A10_00323;eC_number=1.10.2.2;Name=petA;gene=petA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23136;locus_tag=AG-313-A10_00323;product=Ubiquinol-cytochrome c reductase iron-sulfur subunit -AG-313-A10_6 Prodigal:2.6 CDS 33393 34610 . + 0 ID=AG-313-A10_00324;Name=petB;gene=petB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23134;locus_tag=AG-313-A10_00324;product=Cytochrome b -AG-313-A10_6 Prodigal:2.6 CDS 34607 35404 . + 0 ID=AG-313-A10_00325;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00325;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 57 971 . + 0 ID=AG-313-A10_00326;Name=gspD;gene=gspD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45758;locus_tag=AG-313-A10_00326;product=Putative type II secretion system protein D -AG-313-A10_7 Prodigal:2.6 CDS 975 2471 . + 0 ID=AG-313-A10_00327;Name=epsE;gene=epsE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37093;locus_tag=AG-313-A10_00327;product=Type II secretion system protein E -AG-313-A10_7 Prodigal:2.6 CDS 2458 3654 . + 0 ID=AG-313-A10_00328;Name=epsF;gene=epsF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45780;locus_tag=AG-313-A10_00328;product=Type II secretion system protein F -AG-313-A10_7 Prodigal:2.6 CDS 3657 4091 . + 0 ID=AG-313-A10_00329;Name=epsG;gene=epsG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45773;locus_tag=AG-313-A10_00329;product=Type II secretion system protein G -AG-313-A10_7 Prodigal:2.6 CDS 4073 4582 . + 0 ID=AG-313-A10_00330;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00330;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 4560 4916 . + 0 ID=AG-313-A10_00331;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00331;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 4903 5514 . + 0 ID=AG-313-A10_00332;Name=xcpW;gene=xcpW;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q00517;locus_tag=AG-313-A10_00332;product=Type II secretion system protein J -AG-313-A10_7 Prodigal:2.6 CDS 5507 6463 . + 0 ID=AG-313-A10_00333;Name=gspK;gene=gspK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45762;locus_tag=AG-313-A10_00333;product=Putative type II secretion system protein K -AG-313-A10_7 Prodigal:2.6 CDS 6469 7638 . + 0 ID=AG-313-A10_00334;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00334;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 7628 8101 . + 0 ID=AG-313-A10_00335;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00335;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 8096 8950 . - 0 ID=AG-313-A10_00336;eC_number=3.6.1.40;Name=gppA;gene=gppA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25552;locus_tag=AG-313-A10_00336;product=Guanosine-5'-triphosphate%2C3'-diphosphate pyrophosphatase -AG-313-A10_7 Prodigal:2.6 CDS 8951 9787 . - 0 ID=AG-313-A10_00337;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00337;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 9914 10396 . + 0 ID=AG-313-A10_00338;eC_number=4.2.1.106;Name=baiE_1;gene=baiE_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19412;locus_tag=AG-313-A10_00338;product=Bile acid 7-alpha dehydratase -AG-313-A10_7 Prodigal:2.6 CDS 10393 10986 . - 0 ID=AG-313-A10_00339;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00339;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 11103 11228 . + 0 ID=AG-313-A10_00340;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00340;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 11413 12663 . + 0 ID=AG-313-A10_00341;Name=cysP;gene=cysP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34734;locus_tag=AG-313-A10_00341;product=Sulfate permease CysP -AG-313-A10_7 Prodigal:2.6 CDS 12667 13611 . + 0 ID=AG-313-A10_00342;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00342;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 13650 14696 . + 0 ID=AG-313-A10_00343;eC_number=3.1.3.8;Name=phy;gene=phy;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66037;locus_tag=AG-313-A10_00343;product=3-phytase -AG-313-A10_7 Prodigal:2.6 CDS 14700 15536 . - 0 ID=AG-313-A10_00344;eC_number=1.-.-.-;Name=sadH;gene=sadH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WGP9;locus_tag=AG-313-A10_00344;product=Putative oxidoreductase SadH -AG-313-A10_7 Prodigal:2.6 CDS 15514 16278 . - 0 ID=AG-313-A10_00345;eC_number=1.1.1.163;Name=cpnA;gene=cpnA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAV9;locus_tag=AG-313-A10_00345;product=Cyclopentanol dehydrogenase -AG-313-A10_7 Prodigal:2.6 CDS 16445 18106 . + 0 ID=AG-313-A10_00346;eC_number=6.2.1.3;Name=lcfB_2;gene=lcfB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O07610;locus_tag=AG-313-A10_00346;product=Long-chain-fatty-acid--CoA ligase -AG-313-A10_7 Prodigal:2.6 CDS 18099 18545 . + 0 ID=AG-313-A10_00347;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00347;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 18542 19042 . + 0 ID=AG-313-A10_00348;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00348;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 19039 20094 . + 0 ID=AG-313-A10_00349;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00349;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 20091 21239 . + 0 ID=AG-313-A10_00350;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00350;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 21253 22050 . + 0 ID=AG-313-A10_00351;eC_number=4.2.1.17;Name=paaF_2;gene=paaF_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76082;locus_tag=AG-313-A10_00351;product=2%2C3-dehydroadipyl-CoA hydratase -AG-313-A10_7 Prodigal:2.6 CDS 22047 22787 . + 0 ID=AG-313-A10_00352;eC_number=4.2.1.17;Name=echA8_1;gene=echA8_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WNN9;locus_tag=AG-313-A10_00352;product=putative enoyl-CoA hydratase echA8 -AG-313-A10_7 Prodigal:2.6 CDS 22794 23300 . + 0 ID=AG-313-A10_00353;Name=yabI;gene=yabI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P30149;locus_tag=AG-313-A10_00353;product=Inner membrane protein YabI -AG-313-A10_7 Prodigal:2.6 CDS 23303 23491 . + 0 ID=AG-313-A10_00354;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00354;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 23496 23666 . + 0 ID=AG-313-A10_00355;eC_number=3.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44956;locus_tag=AG-313-A10_00355;product=HIT-like protein -AG-313-A10_7 Prodigal:2.6 CDS 23686 23835 . + 0 ID=AG-313-A10_00356;eC_number=3.-.-.-;Name=hinT;gene=hinT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACE7;locus_tag=AG-313-A10_00356;product=HIT-like protein HinT -AG-313-A10_7 Prodigal:2.6 CDS 23839 24453 . + 0 ID=AG-313-A10_00357;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00357;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 24446 24544 . - 0 ID=AG-313-A10_00358;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00358;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 24583 25608 . + 0 ID=AG-313-A10_00359;eC_number=3.1.2.6;Name=gloB;gene=gloB;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01374;locus_tag=AG-313-A10_00359;product=Hydroxyacylglutathione hydrolase -AG-313-A10_7 Prodigal:2.6 CDS 25595 26851 . + 0 ID=AG-313-A10_00360;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00360;product=hypothetical protein -AG-313-A10_7 Prodigal:2.6 CDS 27017 27757 . - 0 ID=AG-313-A10_00361;eC_number=3.1.4.46;Name=ugpQ;gene=ugpQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10908;locus_tag=AG-313-A10_00361;product=Glycerophosphoryl diester phosphodiesterase -AG-313-A10_7 Prodigal:2.6 CDS 27829 28059 . + 0 ID=AG-313-A10_00362;eC_number=4.1.1.3;Name=oadG;gene=oadG;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00404;locus_tag=AG-313-A10_00362;product=oxaloacetate decarboxylase gamma chain -AG-313-A10_7 Prodigal:2.6 CDS 28056 29810 . + 0 ID=AG-313-A10_00363;eC_number=2.1.3.1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q70AC7;locus_tag=AG-313-A10_00363;product=Methylmalonyl-CoA carboxyltransferase 5S subunit -AG-313-A10_8 Prodigal:2.6 CDS 183 887 . + 0 ID=AG-313-A10_00364;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00364;product=hypothetical protein -AG-313-A10_8 Prodigal:2.6 CDS 903 1838 . + 0 ID=AG-313-A10_00365;eC_number=2.4.-.-;Name=pimF;gene=pimF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WMX5;locus_tag=AG-313-A10_00365;product=Putative glycosyltransferases -AG-313-A10_8 Prodigal:2.6 CDS 1810 2631 . + 0 ID=AG-313-A10_00366;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00366;product=hypothetical protein -AG-313-A10_8 Prodigal:2.6 CDS 2628 3266 . + 0 ID=AG-313-A10_00367;eC_number=2.1.1.222;Name=ubiG_1;gene=ubiG_1;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00472;locus_tag=AG-313-A10_00367;product=Ubiquinone biosynthesis O-methyltransferase -AG-313-A10_8 Prodigal:2.6 CDS 3273 3947 . + 0 ID=AG-313-A10_00368;eC_number=2.3.1.203;Name=pglD;gene=pglD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0P9D1;locus_tag=AG-313-A10_00368;product=UDP-N-acetylbacillosamine N-acetyltransferase -AG-313-A10_8 Prodigal:2.6 CDS 3944 4873 . + 0 ID=AG-313-A10_00369;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00369;product=hypothetical protein -AG-313-A10_8 Prodigal:2.6 CDS 4863 5261 . + 0 ID=AG-313-A10_00370;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00370;product=hypothetical protein -AG-313-A10_8 Prodigal:2.6 CDS 5375 6118 . + 0 ID=AG-313-A10_00371;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00371;product=hypothetical protein -AG-313-A10_8 Prodigal:2.6 CDS 6115 7239 . + 0 ID=AG-313-A10_00372;eC_number=2.6.1.59;Name=wecE;gene=wecE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P27833;locus_tag=AG-313-A10_00372;product=dTDP-4-amino-4%2C6-dideoxygalactose transaminase -AG-313-A10_8 Prodigal:2.6 CDS 7232 7711 . + 0 ID=AG-313-A10_00373;eC_number=4.1.3.17;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I2W7;locus_tag=AG-313-A10_00373;product=Putative 4-hydroxy-4-methyl-2-oxoglutarate aldolase -AG-313-A10_8 Prodigal:2.6 CDS 7788 8669 . - 0 ID=AG-313-A10_00374;eC_number=2.3.-.-;Name=yihG;gene=yihG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32129;locus_tag=AG-313-A10_00374;product=putative acyltransferase YihG -AG-313-A10_8 Prodigal:2.6 CDS 8662 9441 . - 0 ID=AG-313-A10_00375;eC_number=3.6.1.8;Name=mazG;gene=mazG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEY3;locus_tag=AG-313-A10_00375;product=Nucleoside triphosphate pyrophosphohydrolase -AG-313-A10_8 Prodigal:2.6 CDS 9441 10580 . - 0 ID=AG-313-A10_00376;eC_number=1.3.1.95;Name=acrC;gene=acrC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:G3KIM8;locus_tag=AG-313-A10_00376;product=Acryloyl-CoA reductase (NADH) -AG-313-A10_8 Prodigal:2.6 CDS 10588 11772 . - 0 ID=AG-313-A10_00377;eC_number=1.3.99.32;Name=Acd_1;gene=Acd_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:C3UVB0;locus_tag=AG-313-A10_00377;product=Glutaryl-CoA dehydrogenase -AG-313-A10_8 Prodigal:2.6 CDS 11848 12894 . + 0 ID=AG-313-A10_00378;eC_number=1.1.1.1;Name=adhT;gene=adhT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12311;locus_tag=AG-313-A10_00378;product=Alcohol dehydrogenase -AG-313-A10_8 Prodigal:2.6 CDS 12891 13637 . - 0 ID=AG-313-A10_00379;eC_number=3.5.1.-;Name=cobB;gene=cobB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9WYW0;locus_tag=AG-313-A10_00379;product=NAD-dependent protein deacetylase -AG-313-A10_8 Prodigal:2.6 CDS 13680 14543 . + 0 ID=AG-313-A10_00380;eC_number=2.7.1.23;Name=nadK;gene=nadK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7B3;locus_tag=AG-313-A10_00380;product=NAD kinase -AG-313-A10_8 Prodigal:2.6 CDS 14546 15148 . + 0 ID=AG-313-A10_00381;eC_number=3.4.21.105;Name=glpG;gene=glpG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44783;locus_tag=AG-313-A10_00381;product=Rhomboid protease GlpG -AG-313-A10_8 Prodigal:2.6 CDS 15153 15986 . + 0 ID=AG-313-A10_00382;eC_number=2.7.7.9;Name=gtaB;gene=gtaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A3J9;locus_tag=AG-313-A10_00382;product=UTP--glucose-1-phosphate uridylyltransferase -AG-313-A10_8 Prodigal:2.6 CDS 15983 16969 . + 0 ID=AG-313-A10_00383;eC_number=1.3.5.2;Name=pyrD;gene=pyrD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7E1;locus_tag=AG-313-A10_00383;product=Dihydroorotate dehydrogenase (quinone) -AG-313-A10_8 Prodigal:2.6 CDS 16978 17412 . + 0 ID=AG-313-A10_00384;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00384;product=hypothetical protein -AG-313-A10_8 Prodigal:2.6 CDS 17442 20069 . + 0 ID=AG-313-A10_00385;eC_number=5.99.1.2;Name=topA;gene=topA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06612;locus_tag=AG-313-A10_00385;product=DNA topoisomerase 1 -AG-313-A10_8 Prodigal:2.6 CDS 20163 20420 . + 0 ID=AG-313-A10_00386;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00386;product=hypothetical protein -AG-313-A10_8 Prodigal:2.6 CDS 20417 21034 . - 0 ID=AG-313-A10_00387;eC_number=3.4.21.88;Name=lexA;gene=lexA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7C2;locus_tag=AG-313-A10_00387;product=LexA repressor -AG-313-A10_8 Prodigal:2.6 CDS 21103 21996 . + 0 ID=AG-313-A10_00388;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00388;product=hypothetical protein -AG-313-A10_8 Prodigal:2.6 CDS 21999 22598 . + 0 ID=AG-313-A10_00389;eC_number=3.1.3.3;Name=thrH;gene=thrH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I2Y2;locus_tag=AG-313-A10_00389;product=Phosphoserine phosphatase ThrH -AG-313-A10_8 Prodigal:2.6 CDS 22604 23266 . + 0 ID=AG-313-A10_00390;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00390;product=hypothetical protein -AG-313-A10_8 Prodigal:2.6 CDS 23306 24187 . + 0 ID=AG-313-A10_00391;eC_number=4.1.3.30;Name=prpB;gene=prpB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77541;locus_tag=AG-313-A10_00391;product=2-methylisocitrate lyase -AG-313-A10_8 Prodigal:2.6 CDS 24188 25309 . + 0 ID=AG-313-A10_00392;eC_number=2.3.3.5;Name=prpC;gene=prpC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q937N9;locus_tag=AG-313-A10_00392;product=2-methylcitrate synthase -AG-313-A10_8 Prodigal:2.6 CDS 25313 26773 . + 0 ID=AG-313-A10_00393;eC_number=4.2.1.79;Name=prpD;gene=prpD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45859;locus_tag=AG-313-A10_00393;product=2-methylcitrate dehydratase -AG-313-A10_8 Prodigal:2.6 CDS 26770 28770 . - 0 ID=AG-313-A10_00394;eC_number=3.5.1.93;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07662;locus_tag=AG-313-A10_00394;product=Glutaryl-7-aminocephalosporanic-acid acylase -AG-313-A10_8 Prodigal:2.6 CDS 28815 29504 . + 0 ID=AG-313-A10_00395;eC_number=1.1.1.100;Name=fabG_1;gene=fabG_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67610;locus_tag=AG-313-A10_00395;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A10_9 Prodigal:2.6 CDS 35 1300 . + 0 ID=AG-313-A10_00396;eC_number=3.1.11.6;Name=xseA;gene=xseA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04994;locus_tag=AG-313-A10_00396;product=Exodeoxyribonuclease 7 large subunit -AG-313-A10_9 Prodigal:2.6 CDS 1263 2078 . + 0 ID=AG-313-A10_00397;eC_number=3.4.24.-;Name=mepM_1;gene=mepM_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFS9;locus_tag=AG-313-A10_00397;product=Murein DD-endopeptidase MepM -AG-313-A10_9 Prodigal:2.6 CDS 2061 2513 . - 0 ID=AG-313-A10_00398;Name=resA;gene=resA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q81SZ9;locus_tag=AG-313-A10_00398;product=Thiol-disulfide oxidoreductase ResA -AG-313-A10_9 Prodigal:2.6 CDS 2543 3133 . + 0 ID=AG-313-A10_00399;eC_number=1.6.5.2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I509;locus_tag=AG-313-A10_00399;product=NAD(P)H dehydrogenase (quinone) -AG-313-A10_9 Prodigal:2.6 CDS 3160 3456 . + 0 ID=AG-313-A10_00400;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00400;product=hypothetical protein -AG-313-A10_9 Prodigal:2.6 CDS 3604 4062 . + 0 ID=AG-313-A10_00401;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00401;product=hypothetical protein -AG-313-A10_9 Prodigal:2.6 CDS 4067 4267 . + 0 ID=AG-313-A10_00402;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00402;product=hypothetical protein -AG-313-A10_9 Prodigal:2.6 CDS 4264 4470 . + 0 ID=AG-313-A10_00403;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00403;product=hypothetical protein -AG-313-A10_9 Prodigal:2.6 CDS 4505 6334 . + 0 ID=AG-313-A10_00404;eC_number=3.4.21.-;Name=sppA;gene=sppA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08395;locus_tag=AG-313-A10_00404;product=Protease 4 -AG-313-A10_9 Prodigal:2.6 CDS 6336 6950 . - 0 ID=AG-313-A10_00405;Name=hda;gene=hda;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69931;locus_tag=AG-313-A10_00405;product=DnaA regulatory inactivator Hda -AG-313-A10_9 Prodigal:2.6 CDS 7036 7587 . - 0 ID=AG-313-A10_00406;eC_number=2.7.8.5;Name=pgsA_1;gene=pgsA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABF8;locus_tag=AG-313-A10_00406;product=CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase -AG-313-A10_9 Prodigal:2.6 CDS 7590 8567 . - 0 ID=AG-313-A10_00407;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00407;product=hypothetical protein -AG-313-A10_9 Prodigal:2.6 CDS 8623 9642 . + 0 ID=AG-313-A10_00408;eC_number=6.3.3.1;Name=purM;gene=purM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KPY6;locus_tag=AG-313-A10_00408;product=Phosphoribosylformylglycinamidine cyclo-ligase -AG-313-A10_9 Prodigal:2.6 CDS 9645 10292 . + 0 ID=AG-313-A10_00409;eC_number=2.1.2.2;Name=purN;gene=purN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08179;locus_tag=AG-313-A10_00409;product=Phosphoribosylglycinamide formyltransferase -AG-313-A10_9 Prodigal:2.6 CDS 10285 10965 . + 0 ID=AG-313-A10_00410;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00410;product=hypothetical protein -AG-313-A10_9 Prodigal:2.6 CDS 10962 11531 . - 0 ID=AG-313-A10_00411;eC_number=3.5.4.13;Name=dcd;gene=dcd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2T083;locus_tag=AG-313-A10_00411;product=Deoxycytidine triphosphate deaminase -AG-313-A10_9 Prodigal:2.6 CDS 11531 12118 . - 0 ID=AG-313-A10_00412;Name=recR;gene=recR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8RDI4;locus_tag=AG-313-A10_00412;product=Recombination protein RecR -AG-313-A10_9 Prodigal:2.6 CDS 12115 13746 . - 0 ID=AG-313-A10_00413;eC_number=2.7.7.7;Name=dnaX;gene=dnaX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06710;locus_tag=AG-313-A10_00413;product=DNA polymerase III subunit tau -AG-313-A10_9 Prodigal:2.6 CDS 13771 14211 . - 0 ID=AG-313-A10_00414;Name=recX;gene=recX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8P9X1;locus_tag=AG-313-A10_00414;product=Regulatory protein RecX -AG-313-A10_9 Prodigal:2.6 CDS 14208 14672 . - 0 ID=AG-313-A10_00415;Name=slyB;gene=slyB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A1X0;locus_tag=AG-313-A10_00415;product=Outer membrane lipoprotein SlyB -AG-313-A10_9 Prodigal:2.6 CDS 14659 15084 . - 0 ID=AG-313-A10_00416;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00416;product=hypothetical protein -AG-313-A10_9 Prodigal:2.6 CDS 15125 15508 . - 0 ID=AG-313-A10_00417;Name=yecN;gene=yecN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64515;locus_tag=AG-313-A10_00417;product=Inner membrane protein YecN -AG-313-A10_9 Prodigal:2.6 CDS 15607 16167 . + 0 ID=AG-313-A10_00418;eC_number=1.-.-.-;Name=ydjA;gene=ydjA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACY1;locus_tag=AG-313-A10_00418;product=Putative NAD(P)H nitroreductase YdjA -AG-313-A10_9 Prodigal:2.6 CDS 16252 16752 . + 0 ID=AG-313-A10_00419;Name=ibpA;gene=ibpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0C054;locus_tag=AG-313-A10_00419;product=Small heat shock protein IbpA -AG-313-A10_9 Prodigal:2.6 CDS 16820 18760 . + 0 ID=AG-313-A10_00420;eC_number=1.8.1.8;Name=dsbD;gene=dsbD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P58162;locus_tag=AG-313-A10_00420;product=Thiol:disulfide interchange protein DsbD -AG-313-A10_9 Prodigal:2.6 CDS 18757 19389 . + 0 ID=AG-313-A10_00421;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00421;product=hypothetical protein -AG-313-A10_9 Prodigal:2.6 CDS 19481 20197 . + 0 ID=AG-313-A10_00422;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00422;product=hypothetical protein -AG-313-A10_9 Prodigal:2.6 CDS 20194 21180 . + 0 ID=AG-313-A10_00423;eC_number=4.3.1.19;Name=tdcB;gene=tdcB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A5L8;locus_tag=AG-313-A10_00423;product=L-threonine dehydratase catabolic TdcB -AG-313-A10_9 Prodigal:2.6 CDS 21173 21907 . - 0 ID=AG-313-A10_00424;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00424;product=hypothetical protein -AG-313-A10_9 Prodigal:2.6 CDS 21952 22806 . - 0 ID=AG-313-A10_00425;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00425;product=hypothetical protein -AG-313-A10_10 Prodigal:2.6 CDS 85 786 . + 0 ID=AG-313-A10_00426;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00426;product=hypothetical protein -AG-313-A10_10 Aragorn:1.2 tRNA 790 867 . - . ID=AG-313-A10_00427;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00427;product=tRNA-Ile(gat) -AG-313-A10_10 Prodigal:2.6 CDS 927 1319 . - 0 ID=AG-313-A10_00428;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00428;product=hypothetical protein -AG-313-A10_10 Prodigal:2.6 CDS 1312 1722 . - 0 ID=AG-313-A10_00429;eC_number=2.7.1.25;Name=cysC;gene=cysC;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00065;locus_tag=AG-313-A10_00429;product=Adenylyl-sulfate kinase -AG-313-A10_10 Prodigal:2.6 CDS 1728 2348 . - 0 ID=AG-313-A10_00430;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00430;product=hypothetical protein -AG-313-A10_10 Prodigal:2.6 CDS 2459 3646 . - 0 ID=AG-313-A10_00431;eC_number=6.1.1.1;Name=tyrS;gene=tyrS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P41256;locus_tag=AG-313-A10_00431;product=Tyrosine--tRNA ligase -AG-313-A10_10 Prodigal:2.6 CDS 3695 4393 . + 0 ID=AG-313-A10_00432;eC_number=3.7.1.20;Name=nagK;gene=nagK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O86042;locus_tag=AG-313-A10_00432;product=Fumarylpyruvate hydrolase -AG-313-A10_10 Prodigal:2.6 CDS 4405 5661 . + 0 ID=AG-313-A10_00433;eC_number=3.4.24.-;Name=mepM_2;gene=mepM_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFS9;locus_tag=AG-313-A10_00433;product=Murein DD-endopeptidase MepM -AG-313-A10_10 Prodigal:2.6 CDS 5642 6730 . + 0 ID=AG-313-A10_00434;eC_number=2.7.1.170;Name=anmK;gene=anmK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I5Q5;locus_tag=AG-313-A10_00434;product=Anhydro-N-acetylmuramic acid kinase -AG-313-A10_10 Prodigal:2.6 CDS 6723 7046 . - 0 ID=AG-313-A10_00435;Name=erpA;gene=erpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACC3;locus_tag=AG-313-A10_00435;product=Iron-sulfur cluster insertion protein ErpA -AG-313-A10_10 Prodigal:2.6 CDS 7197 7586 . + 0 ID=AG-313-A10_00436;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00436;product=hypothetical protein -AG-313-A10_10 Prodigal:2.6 CDS 7728 8963 . + 0 ID=AG-313-A10_00437;eC_number=5.4.3.8;Name=hemL;gene=hemL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZBL9;locus_tag=AG-313-A10_00437;product=Glutamate-1-semialdehyde 2%2C1-aminomutase -AG-313-A10_10 Prodigal:2.6 CDS 8966 9970 . + 0 ID=AG-313-A10_00438;eC_number=2.7.1.92;Name=iolC;gene=iolC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P42414;locus_tag=AG-313-A10_00438;product=5-dehydro-2-deoxygluconokinase -AG-313-A10_10 Prodigal:2.6 CDS 10028 10675 . + 0 ID=AG-313-A10_00439;Name=dksA;gene=dksA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABS1;locus_tag=AG-313-A10_00439;product=RNA polymerase-binding transcription factor DksA -AG-313-A10_10 Prodigal:2.6 CDS 10708 11988 . + 0 ID=AG-313-A10_00440;eC_number=2.7.7.19;Name=pcnB;gene=pcnB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABF1;locus_tag=AG-313-A10_00440;product=Poly(A) polymerase I -AG-313-A10_10 Prodigal:2.6 CDS 12015 12680 . + 0 ID=AG-313-A10_00441;eC_number=2.7.1.113;Name=dgk;gene=dgk;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37530;locus_tag=AG-313-A10_00441;product=Deoxyguanosine kinase -AG-313-A10_10 Prodigal:2.6 CDS 12696 14636 . + 0 ID=AG-313-A10_00442;eC_number=6.2.1.1;Name=acsA;gene=acsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q89WV5;locus_tag=AG-313-A10_00442;product=Acetyl-coenzyme A synthetase -AG-313-A10_10 Prodigal:2.6 CDS 14619 14981 . - 0 ID=AG-313-A10_00443;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00443;product=hypothetical protein -AG-313-A10_10 Prodigal:2.6 CDS 14987 15796 . - 0 ID=AG-313-A10_00444;eC_number=3.-.-.-;Name=baeB;gene=baeB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A7Z4X7;locus_tag=AG-313-A10_00444;product=putative polyketide biosynthesis zinc-dependent hydrolase BaeB -AG-313-A10_10 Prodigal:2.6 CDS 15789 16568 . - 0 ID=AG-313-A10_00445;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00445;product=hypothetical protein -AG-313-A10_10 Prodigal:2.6 CDS 16618 17526 . + 0 ID=AG-313-A10_00446;eC_number=3.8.1.3;Name=fac-dex;gene=fac-dex;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1JU72;locus_tag=AG-313-A10_00446;product=Fluoroacetate dehalogenase -AG-313-A10_11 Prodigal:2.6 CDS 67 1302 . - 0 ID=AG-313-A10_00447;eC_number=2.3.1.9;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A7L2;locus_tag=AG-313-A10_00447;product=putative acetyl-CoA acyltransferase -AG-313-A10_11 Prodigal:2.6 CDS 1405 2307 . + 0 ID=AG-313-A10_00448;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00448;product=hypothetical protein -AG-313-A10_11 Prodigal:2.6 CDS 2311 3768 . + 0 ID=AG-313-A10_00449;eC_number=1.13.11.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WPR5;locus_tag=AG-313-A10_00449;product=Carotenoid cleavage oxygenase -AG-313-A10_11 Prodigal:2.6 CDS 3773 4972 . + 0 ID=AG-313-A10_00450;eC_number=2.3.1.-;Name=fadA;gene=fadA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53871;locus_tag=AG-313-A10_00450;product=Putative acyltransferase -AG-313-A10_11 Prodigal:2.6 CDS 5026 7314 . - 0 ID=AG-313-A10_00451;Name=cirA_2;gene=cirA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17315;locus_tag=AG-313-A10_00451;product=Colicin I receptor -AG-313-A10_11 Prodigal:2.6 CDS 7406 8437 . - 0 ID=AG-313-A10_00452;eC_number=4.1.1.37;Name=hemE;gene=hemE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2STF3;locus_tag=AG-313-A10_00452;product=Uroporphyrinogen decarboxylase -AG-313-A10_11 Prodigal:2.6 CDS 8438 10105 . - 0 ID=AG-313-A10_00453;eC_number=1.4.1.13;Name=gltD;gene=gltD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09832;locus_tag=AG-313-A10_00453;product=Glutamate synthase [NADPH] small chain -AG-313-A10_11 Prodigal:2.6 CDS 10163 14623 . + 0 ID=AG-313-A10_00454;eC_number=1.4.1.13;Name=gltB;gene=gltB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09831;locus_tag=AG-313-A10_00454;product=Glutamate synthase [NADPH] large chain -AG-313-A10_11 Prodigal:2.6 CDS 14625 15698 . - 0 ID=AG-313-A10_00455;eC_number=4.2.3.4;Name=aroB;gene=aroB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KNV2;locus_tag=AG-313-A10_00455;product=3-dehydroquinate synthase -AG-313-A10_11 Prodigal:2.6 CDS 15691 16200 . - 0 ID=AG-313-A10_00456;eC_number=2.7.1.71;Name=aroK;gene=aroK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6D7;locus_tag=AG-313-A10_00456;product=Shikimate kinase 1 -AG-313-A10_11 Prodigal:2.6 CDS 18024 18134 . - 0 ID=AG-313-A10_00457;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00457;product=hypothetical protein -AG-313-A10_12 Prodigal:2.6 CDS 22 234 . - 0 ID=AG-313-A10_00458;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00458;product=hypothetical protein -AG-313-A10_12 Prodigal:2.6 CDS 306 1601 . + 0 ID=AG-313-A10_00459;eC_number=3.4.11.9;Name=pepP;gene=pepP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15034;locus_tag=AG-313-A10_00459;product=Xaa-Pro aminopeptidase -AG-313-A10_12 Prodigal:2.6 CDS 1609 2757 . + 0 ID=AG-313-A10_00460;eC_number=1.14.13.-;Name=ubiI;gene=ubiI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25535;locus_tag=AG-313-A10_00460;product=2-octaprenylphenol hydroxylase -AG-313-A10_12 Prodigal:2.6 CDS 2764 3363 . - 0 ID=AG-313-A10_00461;Name=yhdE;gene=yhdE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25536;locus_tag=AG-313-A10_00461;product=Maf-like protein YhdE -AG-313-A10_12 Prodigal:2.6 CDS 3391 4272 . + 0 ID=AG-313-A10_00462;eC_number=1.1.1.100;Name=fabG_2;gene=fabG_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KQH7;locus_tag=AG-313-A10_00462;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A10_12 Prodigal:2.6 CDS 4273 4509 . - 0 ID=AG-313-A10_00463;Name=rpmB;gene=rpmB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7M2;locus_tag=AG-313-A10_00463;product=50S ribosomal protein L28 -AG-313-A10_12 Prodigal:2.6 CDS 4564 5058 . + 0 ID=AG-313-A10_00464;eC_number=3.1.3.-;Name=sixA;gene=sixA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76502;locus_tag=AG-313-A10_00464;product=Phosphohistidine phosphatase SixA -AG-313-A10_12 Prodigal:2.6 CDS 5051 5506 . + 0 ID=AG-313-A10_00465;eC_number=3.6.1.23;Name=dut;gene=dut;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06968;locus_tag=AG-313-A10_00465;product=Deoxyuridine 5'-triphosphate nucleotidohydrolase -AG-313-A10_12 Prodigal:2.6 CDS 5511 5924 . - 0 ID=AG-313-A10_00466;Name=rpmE;gene=rpmE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HUD0;locus_tag=AG-313-A10_00466;product=50S ribosomal protein L31 -AG-313-A10_12 Prodigal:2.6 CDS 5982 8213 . + 0 ID=AG-313-A10_00467;eC_number=3.6.4.-;Name=priA;gene=priA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17888;locus_tag=AG-313-A10_00467;product=Primosomal protein N' -AG-313-A10_12 Prodigal:2.6 CDS 8230 9351 . - 0 ID=AG-313-A10_00468;eC_number=3.3.2.10;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O52866;locus_tag=AG-313-A10_00468;product=Soluble epoxide hydrolase -AG-313-A10_12 Prodigal:2.6 CDS 9351 10898 . - 0 ID=AG-313-A10_00469;eC_number=4.3.1.19;Name=ilvA;gene=ilvA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04968;locus_tag=AG-313-A10_00469;product=L-threonine dehydratase biosynthetic IlvA -AG-313-A10_12 Prodigal:2.6 CDS 10923 11564 . + 0 ID=AG-313-A10_00470;eC_number=5.3.1.6;Name=rpiA;gene=rpiA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I6G1;locus_tag=AG-313-A10_00470;product=Ribose-5-phosphate isomerase A -AG-313-A10_12 Prodigal:2.6 CDS 11561 12085 . - 0 ID=AG-313-A10_00471;eC_number=1.11.1.22;Name=gpx1_2;gene=gpx1_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P74250;locus_tag=AG-313-A10_00471;product=Hydroperoxy fatty acid reductase gpx1 -AG-313-A10_12 Prodigal:2.6 CDS 12460 14619 . + 0 ID=AG-313-A10_00472;Name=fadJ;gene=fadJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77399;locus_tag=AG-313-A10_00472;product=Fatty acid oxidation complex subunit alpha -AG-313-A10_12 Prodigal:2.6 CDS 14632 15165 . - 0 ID=AG-313-A10_00473;eC_number=2.-.-.-;Name=ykuD;gene=ykuD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34816;locus_tag=AG-313-A10_00473;product=Putative L%2CD-transpeptidase YkuD -AG-313-A10_12 Prodigal:2.6 CDS 15162 16640 . - 0 ID=AG-313-A10_00474;eC_number=2.3.1.-;Name=lnt;gene=lnt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23930;locus_tag=AG-313-A10_00474;product=Apolipoprotein N-acyltransferase -AG-313-A10_12 Prodigal:2.6 CDS 16612 17454 . - 0 ID=AG-313-A10_00475;Name=corC_2;gene=corC_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AE78;locus_tag=AG-313-A10_00475;product=Magnesium and cobalt efflux protein CorC -AG-313-A10_12 Prodigal:2.6 CDS 17451 17927 . - 0 ID=AG-313-A10_00476;eC_number=3.1.-.-;Name=ybeY;gene=ybeY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P71335;locus_tag=AG-313-A10_00476;product=Endoribonuclease YbeY -AG-313-A10_12 Prodigal:2.6 CDS 17908 18270 . - 0 ID=AG-313-A10_00477;Name=ybeZ;gene=ybeZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9K3;locus_tag=AG-313-A10_00477;product=PhoH-like protein -AG-313-A10_13 Prodigal:2.6 CDS 819 1583 . - 0 ID=AG-313-A10_00478;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00478;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 1552 2052 . - 0 ID=AG-313-A10_00479;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00479;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 2065 2799 . - 0 ID=AG-313-A10_00480;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00480;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 2808 4265 . - 0 ID=AG-313-A10_00481;eC_number=3.5.1.18;Name=dapE;gene=dapE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q99SN6;locus_tag=AG-313-A10_00481;product=putative succinyl-diaminopimelate desuccinylase -AG-313-A10_13 Prodigal:2.6 CDS 4301 4891 . - 0 ID=AG-313-A10_00482;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00482;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 4925 5629 . - 0 ID=AG-313-A10_00483;eC_number=3.8.1.7;Name=fcbB2;gene=fcbB2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9LCU3;locus_tag=AG-313-A10_00483;product=4-chlorobenzoyl coenzyme A dehalogenase-2 -AG-313-A10_13 Prodigal:2.6 CDS 5652 5975 . - 0 ID=AG-313-A10_00484;Name=emrE;gene=emrE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23895;locus_tag=AG-313-A10_00484;product=Multidrug transporter EmrE -AG-313-A10_13 Prodigal:2.6 CDS 5990 7144 . - 0 ID=AG-313-A10_00485;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00485;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 7149 7451 . - 0 ID=AG-313-A10_00486;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00486;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 7503 8099 . + 0 ID=AG-313-A10_00487;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00487;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 8129 8866 . - 0 ID=AG-313-A10_00488;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00488;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 8870 9547 . - 0 ID=AG-313-A10_00489;eC_number=4.1.1.65;Name=psd;gene=psd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WHQ5;locus_tag=AG-313-A10_00489;product=Phosphatidylserine decarboxylase proenzyme -AG-313-A10_13 Prodigal:2.6 CDS 9598 10911 . - 0 ID=AG-313-A10_00490;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00490;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 10904 11542 . - 0 ID=AG-313-A10_00491;eC_number=2.1.1.222;Name=ubiG_2;gene=ubiG_2;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00472;locus_tag=AG-313-A10_00491;product=Ubiquinone biosynthesis O-methyltransferase -AG-313-A10_13 Prodigal:2.6 CDS 11545 11928 . - 0 ID=AG-313-A10_00492;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00492;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 11925 12395 . - 0 ID=AG-313-A10_00493;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00493;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 12400 12846 . - 0 ID=AG-313-A10_00494;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00494;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 12848 13357 . - 0 ID=AG-313-A10_00495;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00495;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 13391 14248 . - 0 ID=AG-313-A10_00496;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00496;product=hypothetical protein -AG-313-A10_13 Prodigal:2.6 CDS 14302 15360 . - 0 ID=AG-313-A10_00497;Name=yitJ_2;gene=yitJ_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O06745;locus_tag=AG-313-A10_00497;product=Bifunctional homocysteine S-methyltransferase/5%2C10-methylenetetrahydrofolate reductase -AG-313-A10_13 Prodigal:2.6 CDS 15539 16543 . - 0 ID=AG-313-A10_00498;Name=msrAB;gene=msrAB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P14930;locus_tag=AG-313-A10_00498;product=Peptide methionine sulfoxide reductase MsrA/MsrB -AG-313-A10_14 Prodigal:2.6 CDS 94 1788 . + 0 ID=AG-313-A10_00499;Name=fyuA;gene=fyuA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P46359;locus_tag=AG-313-A10_00499;product=Pesticin receptor -AG-313-A10_14 Prodigal:2.6 CDS 1844 3010 . + 0 ID=AG-313-A10_00500;eC_number=1.3.99.-;Name=acdA_2;gene=acdA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45867;locus_tag=AG-313-A10_00500;product=Acyl-CoA dehydrogenase -AG-313-A10_14 Prodigal:2.6 CDS 3068 3526 . + 0 ID=AG-313-A10_00501;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WP11;locus_tag=AG-313-A10_00501;product=Putative nitroreductase -AG-313-A10_14 Prodigal:2.6 CDS 3523 4212 . + 0 ID=AG-313-A10_00502;eC_number=3.6.3.-;Name=yknY;gene=yknY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O31711;locus_tag=AG-313-A10_00502;product=putative ABC transporter ATP-binding protein YknY -AG-313-A10_14 Prodigal:2.6 CDS 4209 5405 . + 0 ID=AG-313-A10_00503;Name=macA_2;gene=macA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75830;locus_tag=AG-313-A10_00503;product=Macrolide export protein MacA -AG-313-A10_14 Prodigal:2.6 CDS 5409 6614 . + 0 ID=AG-313-A10_00504;eC_number=3.6.3.-;Name=macB;gene=macB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5MK06;locus_tag=AG-313-A10_00504;product=Macrolide export ATP-binding/permease protein MacB -AG-313-A10_14 Prodigal:2.6 CDS 6618 7712 . + 0 ID=AG-313-A10_00505;eC_number=2.4.1.-;Name=bshA_1;gene=bshA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q81ST7;locus_tag=AG-313-A10_00505;product=N-acetyl-alpha-D-glucosaminyl L-malate synthase -AG-313-A10_14 Prodigal:2.6 CDS 7685 8659 . - 0 ID=AG-313-A10_00506;eC_number=2.4.1.-;Name=bshA_2;gene=bshA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P42982;locus_tag=AG-313-A10_00506;product=N-acetyl-alpha-D-glucosaminyl L-malate synthase -AG-313-A10_14 Prodigal:2.6 CDS 8656 9615 . - 0 ID=AG-313-A10_00507;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00507;product=hypothetical protein -AG-313-A10_14 Prodigal:2.6 CDS 9702 9890 . + 0 ID=AG-313-A10_00508;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00508;product=hypothetical protein -AG-313-A10_14 Prodigal:2.6 CDS 10022 10777 . - 0 ID=AG-313-A10_00509;Name=outO;gene=outO;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P31712;locus_tag=AG-313-A10_00509;product=Type 4 prepilin-like proteins leader peptide-processing enzyme -AG-313-A10_14 Prodigal:2.6 CDS 10881 12572 . - 0 ID=AG-313-A10_00510;eC_number=2.3.2.2;Name=ggt;gene=ggt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P18956;locus_tag=AG-313-A10_00510;product=Gamma-glutamyltranspeptidase -AG-313-A10_14 Prodigal:2.6 CDS 12575 13321 . - 0 ID=AG-313-A10_00511;eC_number=1.1.1.47;Name=gdhIV;gene=gdhIV;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39485;locus_tag=AG-313-A10_00511;product=Glucose 1-dehydrogenase 4 -AG-313-A10_14 Prodigal:2.6 CDS 13336 14955 . - 0 ID=AG-313-A10_00512;eC_number=6.2.1.42;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:E3UUE6;locus_tag=AG-313-A10_00512;product=3-oxocholest-4-en-26-oate--CoA ligase -AG-313-A10_14 Prodigal:2.6 CDS 14955 15776 . - 0 ID=AG-313-A10_00513;eC_number=1.3.99.5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q59327;locus_tag=AG-313-A10_00513;product=3-oxo-5-alpha-steroid 4-dehydrogenase -AG-313-A10_15 Prodigal:2.6 CDS 95 400 . + 0 ID=AG-313-A10_00514;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00514;product=hypothetical protein -AG-313-A10_15 Prodigal:2.6 CDS 415 2439 . - 0 ID=AG-313-A10_00515;eC_number=2.3.1.-;Name=oatA;gene=oatA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A3D6;locus_tag=AG-313-A10_00515;product=O-acetyltransferase OatA -AG-313-A10_15 Prodigal:2.6 CDS 2629 3705 . + 0 ID=AG-313-A10_00516;eC_number=2.5.1.101;Name=neuB;gene=neuB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5ZXH9;locus_tag=AG-313-A10_00516;product=N%2CN'-diacetyllegionaminic acid synthase -AG-313-A10_15 Prodigal:2.6 CDS 3687 4325 . + 0 ID=AG-313-A10_00517;eC_number=2.4.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WMY1;locus_tag=AG-313-A10_00517;product=putative glycosyltransferase -AG-313-A10_15 Prodigal:2.6 CDS 4332 5066 . + 0 ID=AG-313-A10_00518;eC_number=2.7.7.38;Name=kdsB_1;gene=kdsB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZGA4;locus_tag=AG-313-A10_00518;product=3-deoxy-manno-octulosonate cytidylyltransferase -AG-313-A10_15 Prodigal:2.6 CDS 5071 5958 . + 0 ID=AG-313-A10_00519;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00519;product=hypothetical protein -AG-313-A10_15 Prodigal:2.6 CDS 5958 6923 . + 0 ID=AG-313-A10_00520;eC_number=1.-.-.-;Name=pht4;gene=pht4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q05184;locus_tag=AG-313-A10_00520;product=Putative 4%2C5-dihydroxyphthalate dehydrogenase -AG-313-A10_15 Prodigal:2.6 CDS 6916 8193 . + 0 ID=AG-313-A10_00521;eC_number=2.6.1.102;Name=per;gene=per;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9A9H3;locus_tag=AG-313-A10_00521;product=GDP-perosamine synthase -AG-313-A10_15 Prodigal:2.6 CDS 8270 9058 . + 0 ID=AG-313-A10_00522;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00522;product=hypothetical protein -AG-313-A10_15 Prodigal:2.6 CDS 9062 9844 . + 0 ID=AG-313-A10_00523;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00523;product=hypothetical protein -AG-313-A10_15 Prodigal:2.6 CDS 9881 10942 . + 0 ID=AG-313-A10_00524;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00524;product=hypothetical protein -AG-313-A10_15 Prodigal:2.6 CDS 11096 12040 . + 0 ID=AG-313-A10_00525;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00525;product=hypothetical protein -AG-313-A10_15 Prodigal:2.6 CDS 12152 13339 . + 0 ID=AG-313-A10_00526;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00526;product=hypothetical protein -AG-313-A10_15 Prodigal:2.6 CDS 13336 14412 . + 0 ID=AG-313-A10_00527;eC_number=2.4.1.-;Name=bshA_3;gene=bshA_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q81ST7;locus_tag=AG-313-A10_00527;product=N-acetyl-alpha-D-glucosaminyl L-malate synthase -AG-313-A10_16 Prodigal:2.6 CDS 106 2109 . + 0 ID=AG-313-A10_00528;eC_number=1.-.-.-;Name=sfrB;gene=sfrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q74FU5;locus_tag=AG-313-A10_00528;product=NADPH-Fe(3+) oxidoreductase subunit beta -AG-313-A10_16 Prodigal:2.6 CDS 2106 3938 . + 0 ID=AG-313-A10_00529;eC_number=1.2.7.3;Name=korA;gene=korA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53182;locus_tag=AG-313-A10_00529;product=2-oxoglutarate oxidoreductase subunit KorA -AG-313-A10_16 Prodigal:2.6 CDS 3935 4990 . + 0 ID=AG-313-A10_00530;eC_number=1.2.7.3;Name=korB;gene=korB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53181;locus_tag=AG-313-A10_00530;product=2-oxoglutarate oxidoreductase subunit KorB -AG-313-A10_16 Prodigal:2.6 CDS 4994 5404 . - 0 ID=AG-313-A10_00531;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00531;product=hypothetical protein -AG-313-A10_16 Prodigal:2.6 CDS 5516 6181 . + 0 ID=AG-313-A10_00532;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00532;product=hypothetical protein -AG-313-A10_16 Prodigal:2.6 CDS 6238 8757 . - 0 ID=AG-313-A10_00533;Name=btuB;gene=btuB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06129;locus_tag=AG-313-A10_00533;product=Vitamin B12 transporter BtuB -AG-313-A10_16 Prodigal:2.6 CDS 8912 11968 . - 0 ID=AG-313-A10_00534;Name=putA;gene=putA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10503;locus_tag=AG-313-A10_00534;product=Bifunctional protein PutA -AG-313-A10_16 Prodigal:2.6 CDS 12052 13140 . - 0 ID=AG-313-A10_00535;Name=ybhR;gene=ybhR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFP9;locus_tag=AG-313-A10_00535;product=Inner membrane transport permease YbhR -AG-313-A10_16 Prodigal:2.6 CDS 13144 13908 . - 0 ID=AG-313-A10_00536;eC_number=3.6.3.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQL7;locus_tag=AG-313-A10_00536;product=Fluoroquinolones export ATP-binding protein -AG-313-A10_16 Prodigal:2.6 CDS 13973 14563 . - 0 ID=AG-313-A10_00537;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00537;product=hypothetical protein -AG-313-A10_17 Prodigal:2.6 CDS 451 1707 . + 0 ID=AG-313-A10_00538;eC_number=1.3.8.3;Name=bbsG;gene=bbsG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KJE8;locus_tag=AG-313-A10_00538;product=(R)-benzylsuccinyl-CoA dehydrogenase -AG-313-A10_17 Prodigal:2.6 CDS 1715 3118 . + 0 ID=AG-313-A10_00539;eC_number=3.1.11.1;Name=sbcB;gene=sbcB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04995;locus_tag=AG-313-A10_00539;product=Exodeoxyribonuclease I -AG-313-A10_17 Prodigal:2.6 CDS 3243 3515 . + 0 ID=AG-313-A10_00540;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00540;product=hypothetical protein -AG-313-A10_17 Aragorn:1.2 tRNA 3616 3694 . + . ID=AG-313-A10_00541;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00541;product=tRNA-Val(gac) -AG-313-A10_17 Prodigal:2.6 CDS 3755 4483 . + 0 ID=AG-313-A10_00542;eC_number=4.2.99.20;Name=menH;gene=menH;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01660;locus_tag=AG-313-A10_00542;product=2-succinyl-6-hydroxy-2%2C4-cyclohexadiene-1-carboxylate synthase -AG-313-A10_17 Prodigal:2.6 CDS 4488 6254 . - 0 ID=AG-313-A10_00543;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WPD7;locus_tag=AG-313-A10_00543;product=putative transporter -AG-313-A10_17 Prodigal:2.6 CDS 6379 7407 . + 0 ID=AG-313-A10_00544;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q98GN8;locus_tag=AG-313-A10_00544;product=Cyclic nucleotide-gated potassium channel -AG-313-A10_17 Prodigal:2.6 CDS 7404 8576 . - 0 ID=AG-313-A10_00545;Name=ynaI;gene=ynaI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEB5;locus_tag=AG-313-A10_00545;product=Low conductance mechanosensitive channel YnaI -AG-313-A10_17 Prodigal:2.6 CDS 8564 9292 . - 0 ID=AG-313-A10_00546;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00546;product=hypothetical protein -AG-313-A10_17 Prodigal:2.6 CDS 9318 11504 . - 0 ID=AG-313-A10_00547;eC_number=4.6.1.1;Name=cyaB;gene=cyaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40138;locus_tag=AG-313-A10_00547;product=Adenylate cyclase 2 -AG-313-A10_17 Prodigal:2.6 CDS 11517 12134 . - 0 ID=AG-313-A10_00548;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00548;product=hypothetical protein -AG-313-A10_17 Prodigal:2.6 CDS 12236 13609 . + 0 ID=AG-313-A10_00549;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00549;product=hypothetical protein -AG-313-A10_18 Prodigal:2.6 CDS 130 1281 . + 0 ID=AG-313-A10_00550;eC_number=3.5.1.91;Name=nfdA_2;gene=nfdA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q68AP4;locus_tag=AG-313-A10_00550;product=N-substituted formamide deformylase -AG-313-A10_18 Prodigal:2.6 CDS 1384 1803 . + 0 ID=AG-313-A10_00551;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00551;product=hypothetical protein -AG-313-A10_18 Prodigal:2.6 CDS 1804 2718 . - 0 ID=AG-313-A10_00552;eC_number=3.1.1.-;Name=dauP;gene=dauP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q55217;locus_tag=AG-313-A10_00552;product=Rhodomycin D methylesterase DauP -AG-313-A10_18 Prodigal:2.6 CDS 2816 4168 . + 0 ID=AG-313-A10_00553;Name=yihP;gene=yihP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32137;locus_tag=AG-313-A10_00553;product=Putative 2%2C3-dihydroxypropane-1-sulfonate exporter -AG-313-A10_18 Prodigal:2.6 CDS 4161 6164 . + 0 ID=AG-313-A10_00554;eC_number=1.1.99.28;Name=gfo;gene=gfo;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q07982;locus_tag=AG-313-A10_00554;product=Glucose--fructose oxidoreductase -AG-313-A10_18 Prodigal:2.6 CDS 6133 8580 . - 0 ID=AG-313-A10_00555;eC_number=3.2.1.21;Name=bglB;gene=bglB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P14002;locus_tag=AG-313-A10_00555;product=Thermostable beta-glucosidase B -AG-313-A10_18 Prodigal:2.6 CDS 8622 9335 . + 0 ID=AG-313-A10_00556;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00556;product=hypothetical protein -AG-313-A10_18 Prodigal:2.6 CDS 9416 10306 . + 0 ID=AG-313-A10_00557;eC_number=1.14.99.46;Name=rutA;gene=rutA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75898;locus_tag=AG-313-A10_00557;product=Pyrimidine monooxygenase RutA -AG-313-A10_18 Prodigal:2.6 CDS 10394 10807 . + 0 ID=AG-313-A10_00558;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00558;product=hypothetical protein -AG-313-A10_18 Prodigal:2.6 CDS 10824 11720 . - 0 ID=AG-313-A10_00559;Name=oxyR;gene=oxyR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACQ4;locus_tag=AG-313-A10_00559;product=Hydrogen peroxide-inducible genes activator -AG-313-A10_19 Prodigal:2.6 CDS 16 249 . + 0 ID=AG-313-A10_00560;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00560;product=hypothetical protein -AG-313-A10_19 Prodigal:2.6 CDS 429 1016 . + 0 ID=AG-313-A10_00561;eC_number=3.1.13.-;Name=rnt;gene=rnt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HY82;locus_tag=AG-313-A10_00561;product=Ribonuclease T -AG-313-A10_19 Prodigal:2.6 CDS 1020 1745 . - 0 ID=AG-313-A10_00562;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00562;product=hypothetical protein -AG-313-A10_19 Prodigal:2.6 CDS 1883 2323 . + 0 ID=AG-313-A10_00563;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00563;product=hypothetical protein -AG-313-A10_19 Prodigal:2.6 CDS 2327 2641 . - 0 ID=AG-313-A10_00564;Name=grxD;gene=grxD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC69;locus_tag=AG-313-A10_00564;product=Glutaredoxin-4 -AG-313-A10_19 Prodigal:2.6 CDS 2641 3399 . - 0 ID=AG-313-A10_00565;eC_number=2.6.99.2;Name=pdxJ;gene=pdxJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A794;locus_tag=AG-313-A10_00565;product=Pyridoxine 5'-phosphate synthase -AG-313-A10_19 Prodigal:2.6 CDS 3414 3842 . - 0 ID=AG-313-A10_00566;eC_number=5.3.3.1;Name=ksi;gene=ksi;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07445;locus_tag=AG-313-A10_00566;product=Steroid Delta-isomerase -AG-313-A10_19 Prodigal:2.6 CDS 3839 4336 . - 0 ID=AG-313-A10_00567;eC_number=4.2.1.106;Name=baiE_2;gene=baiE_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19412;locus_tag=AG-313-A10_00567;product=Bile acid 7-alpha dehydratase -AG-313-A10_19 Prodigal:2.6 CDS 4344 5096 . - 0 ID=AG-313-A10_00568;eC_number=1.2.1.62;Name=tsaC1;gene=tsaC1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P94681;locus_tag=AG-313-A10_00568;product=4-formylbenzenesulfonate dehydrogenase TsaC1/TsaC2 -AG-313-A10_19 Prodigal:2.6 CDS 5099 6808 . - 0 ID=AG-313-A10_00569;eC_number=1.3.99.4;Name=kstD;gene=kstD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P71864;locus_tag=AG-313-A10_00569;product=3-oxosteroid 1-dehydrogenase -AG-313-A10_19 Prodigal:2.6 CDS 6981 8111 . + 0 ID=AG-313-A10_00570;eC_number=1.13.12.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O06179;locus_tag=AG-313-A10_00570;product=Putative monooxygenase -AG-313-A10_19 Prodigal:2.6 CDS 8121 8303 . + 0 ID=AG-313-A10_00571;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00571;product=hypothetical protein -AG-313-A10_19 Prodigal:2.6 CDS 8300 9601 . - 0 ID=AG-313-A10_00572;eC_number=3.-.-.-;Name=yxeP;gene=yxeP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54955;locus_tag=AG-313-A10_00572;product=putative hydrolase YxeP -AG-313-A10_19 Prodigal:2.6 CDS 9605 10483 . - 0 ID=AG-313-A10_00573;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00573;product=hypothetical protein -AG-313-A10_19 Prodigal:2.6 CDS 10480 12543 . - 0 ID=AG-313-A10_00574;eC_number=2.5.1.77;Name=fbiC;gene=fbiC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WP77;locus_tag=AG-313-A10_00574;product=FO synthase -AG-313-A10_20 Prodigal:2.6 CDS 489 1664 . + 0 ID=AG-313-A10_00575;Name=kfoC;gene=kfoC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8L0V4;locus_tag=AG-313-A10_00575;product=Chondroitin synthase -AG-313-A10_20 Prodigal:2.6 CDS 1710 3341 . + 0 ID=AG-313-A10_00576;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00576;product=hypothetical protein -AG-313-A10_20 Prodigal:2.6 CDS 3462 4115 . + 0 ID=AG-313-A10_00577;eC_number=1.-.-.-;Name=nfnB;gene=nfnB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0R6D0;locus_tag=AG-313-A10_00577;product=Nitroreductase NfnB -AG-313-A10_20 Prodigal:2.6 CDS 4137 4583 . + 0 ID=AG-313-A10_00578;eC_number=3.5.4.33;Name=tadA;gene=tadA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67050;locus_tag=AG-313-A10_00578;product=tRNA-specific adenosine deaminase -AG-313-A10_20 Prodigal:2.6 CDS 4597 5406 . - 0 ID=AG-313-A10_00579;eC_number=3.1.11.2;Name=xthA;gene=xthA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09030;locus_tag=AG-313-A10_00579;product=Exodeoxyribonuclease III -AG-313-A10_20 Prodigal:2.6 CDS 5410 7527 . - 0 ID=AG-313-A10_00580;eC_number=3.4.21.102;Name=prc;gene=prc;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23865;locus_tag=AG-313-A10_00580;product=Tail-specific protease -AG-313-A10_20 Prodigal:2.6 CDS 7555 8166 . + 0 ID=AG-313-A10_00581;eC_number=5.99.1.4;Name=nahD;gene=nahD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q51948;locus_tag=AG-313-A10_00581;product=2-hydroxychromene-2-carboxylate isomerase -AG-313-A10_20 Prodigal:2.6 CDS 8163 9248 . - 0 ID=AG-313-A10_00582;eC_number=1.3.99.-;Name=acdA_3;gene=acdA_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45867;locus_tag=AG-313-A10_00582;product=Acyl-CoA dehydrogenase -AG-313-A10_20 Prodigal:2.6 CDS 9250 10473 . - 0 ID=AG-313-A10_00583;eC_number=1.3.99.32;Name=Acd_2;gene=Acd_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:C3UVB0;locus_tag=AG-313-A10_00583;product=Glutaryl-CoA dehydrogenase -AG-313-A10_20 Prodigal:2.6 CDS 10487 11278 . - 0 ID=AG-313-A10_00584;eC_number=4.2.1.17;Name=echA8_2;gene=echA8_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WNN9;locus_tag=AG-313-A10_00584;product=putative enoyl-CoA hydratase echA8 -AG-313-A10_20 Prodigal:2.6 CDS 11275 12522 . - 0 ID=AG-313-A10_00585;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00585;product=hypothetical protein -AG-313-A10_21 Prodigal:2.6 CDS 47 253 . - 0 ID=AG-313-A10_00586;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00586;product=hypothetical protein -AG-313-A10_21 Prodigal:2.6 CDS 393 941 . - 0 ID=AG-313-A10_00587;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00587;product=hypothetical protein -AG-313-A10_21 Prodigal:2.6 CDS 938 2122 . - 0 ID=AG-313-A10_00588;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00588;product=hypothetical protein -AG-313-A10_21 Prodigal:2.6 CDS 2106 2768 . - 0 ID=AG-313-A10_00589;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00589;product=hypothetical protein -AG-313-A10_21 Prodigal:2.6 CDS 2812 3372 . + 0 ID=AG-313-A10_00590;Name=efp;gene=efp;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83AR4;locus_tag=AG-313-A10_00590;product=Elongation factor P -AG-313-A10_21 Prodigal:2.6 CDS 3376 5106 . + 0 ID=AG-313-A10_00591;eC_number=6.1.1.19;Name=argS;gene=argS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q99W05;locus_tag=AG-313-A10_00591;product=Arginine--tRNA ligase -AG-313-A10_21 Prodigal:2.6 CDS 5112 5510 . + 0 ID=AG-313-A10_00592;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00592;product=hypothetical protein -AG-313-A10_21 Prodigal:2.6 CDS 5634 6320 . + 0 ID=AG-313-A10_00593;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00593;product=hypothetical protein -AG-313-A10_21 Prodigal:2.6 CDS 6317 7102 . + 0 ID=AG-313-A10_00594;eC_number=1.5.1.2;Name=proC;gene=proC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P22008;locus_tag=AG-313-A10_00594;product=Pyrroline-5-carboxylate reductase -AG-313-A10_21 Prodigal:2.6 CDS 7123 7638 . + 0 ID=AG-313-A10_00595;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00595;product=hypothetical protein -AG-313-A10_21 Prodigal:2.6 CDS 7635 8735 . + 0 ID=AG-313-A10_00596;eC_number=2.3.1.31;Name=metX;gene=metX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8F4I0;locus_tag=AG-313-A10_00596;product=Homoserine O-acetyltransferase -AG-313-A10_21 Prodigal:2.6 CDS 8728 9315 . + 0 ID=AG-313-A10_00597;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00597;product=hypothetical protein -AG-313-A10_21 Prodigal:2.6 CDS 9308 9913 . + 0 ID=AG-313-A10_00598;eC_number=3.6.1.19;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44598;locus_tag=AG-313-A10_00598;product=Non-canonical purine NTP pyrophosphatase -AG-313-A10_21 Prodigal:2.6 CDS 9900 11003 . + 0 ID=AG-313-A10_00599;eC_number=1.3.99.-;Name=hemN;gene=hemN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9CGF7;locus_tag=AG-313-A10_00599;product=Oxygen-independent coproporphyrinogen-III oxidase-like protein -AG-313-A10_22 Prodigal:2.6 CDS 990 2300 . - 0 ID=AG-313-A10_00600;eC_number=1.1.1.22;Name=tuaD;gene=tuaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32271;locus_tag=AG-313-A10_00600;product=UDP-glucose 6-dehydrogenase TuaD -AG-313-A10_22 Prodigal:2.6 CDS 2342 3196 . - 0 ID=AG-313-A10_00601;eC_number=1.1.1.133;Name=rmlD;gene=rmlD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WH09;locus_tag=AG-313-A10_00601;product=dTDP-4-dehydrorhamnose reductase -AG-313-A10_22 Prodigal:2.6 CDS 3207 5249 . - 0 ID=AG-313-A10_00602;eC_number=2.6.1.-;Name=kat;gene=kat;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B0VH76;locus_tag=AG-313-A10_00602;product=3-aminobutyryl-CoA aminotransferase -AG-313-A10_22 Prodigal:2.6 CDS 5246 6154 . - 0 ID=AG-313-A10_00603;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00603;product=hypothetical protein -AG-313-A10_22 Prodigal:2.6 CDS 6160 7158 . - 0 ID=AG-313-A10_00604;eC_number=4.2.1.115;Name=pseB;gene=pseB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0P8W4;locus_tag=AG-313-A10_00604;product=UDP-N-acetylglucosamine 4%2C6-dehydratase (inverting) -AG-313-A10_22 Aragorn:1.2 tRNA 7216 7289 . - . ID=AG-313-A10_00605;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00605;product=tRNA-Cys(gca) -AG-313-A10_22 Prodigal:2.6 CDS 7290 7826 . - 0 ID=AG-313-A10_00606;eC_number=2.7.8.5;Name=pgsA_2;gene=pgsA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABF8;locus_tag=AG-313-A10_00606;product=CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase -AG-313-A10_22 Prodigal:2.6 CDS 7823 9304 . - 0 ID=AG-313-A10_00607;Name=uvrC;gene=uvrC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8G0;locus_tag=AG-313-A10_00607;product=UvrABC system protein C -AG-313-A10_23 Prodigal:2.6 CDS 25 546 . + 0 ID=AG-313-A10_00608;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00608;product=hypothetical protein -AG-313-A10_23 Prodigal:2.6 CDS 565 690 . + 0 ID=AG-313-A10_00609;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00609;product=hypothetical protein -AG-313-A10_23 Prodigal:2.6 CDS 1310 2173 . - 0 ID=AG-313-A10_00610;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00610;product=hypothetical protein -AG-313-A10_23 Prodigal:2.6 CDS 2227 5199 . - 0 ID=AG-313-A10_00611;Name=cirA_3;gene=cirA_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17315;locus_tag=AG-313-A10_00611;product=Colicin I receptor -AG-313-A10_23 Prodigal:2.6 CDS 5350 6255 . + 0 ID=AG-313-A10_00612;Name=benM;gene=benM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O68014;locus_tag=AG-313-A10_00612;product=HTH-type transcriptional regulator BenM -AG-313-A10_23 Prodigal:2.6 CDS 6252 7688 . - 0 ID=AG-313-A10_00613;eC_number=3.5.1.-;Name=abgB;gene=abgB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76052;locus_tag=AG-313-A10_00613;product=p-aminobenzoyl-glutamate hydrolase subunit B -AG-313-A10_23 Prodigal:2.6 CDS 7634 8770 . - 0 ID=AG-313-A10_00614;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00614;product=hypothetical protein -AG-313-A10_24 Prodigal:2.6 CDS 187 648 . + 0 ID=AG-313-A10_00615;eC_number=4.4.1.11;Name=mdeA;gene=mdeA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P13254;locus_tag=AG-313-A10_00615;product=Methionine gamma-lyase -AG-313-A10_24 Prodigal:2.6 CDS 655 1170 . + 0 ID=AG-313-A10_00616;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00616;product=hypothetical protein -AG-313-A10_24 Prodigal:2.6 CDS 1177 1761 . + 0 ID=AG-313-A10_00617;eC_number=3.6.3.-;Name=lptB_2;gene=lptB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45073;locus_tag=AG-313-A10_00617;product=Lipopolysaccharide export system ATP-binding protein LptB -AG-313-A10_24 Prodigal:2.6 CDS 1754 2404 . + 0 ID=AG-313-A10_00618;Name=ccmB;gene=ccmB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABL8;locus_tag=AG-313-A10_00618;product=Heme exporter protein B -AG-313-A10_24 Prodigal:2.6 CDS 2532 3161 . + 0 ID=AG-313-A10_00619;Name=ccmC;gene=ccmC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABM1;locus_tag=AG-313-A10_00619;product=Heme exporter protein C -AG-313-A10_24 Prodigal:2.6 CDS 3154 3330 . + 0 ID=AG-313-A10_00620;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00620;product=hypothetical protein -AG-313-A10_24 Prodigal:2.6 CDS 3317 3730 . + 0 ID=AG-313-A10_00621;Name=ccmE;gene=ccmE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69490;locus_tag=AG-313-A10_00621;product=Cytochrome c-type biogenesis protein CcmE -AG-313-A10_24 Prodigal:2.6 CDS 3727 5625 . + 0 ID=AG-313-A10_00622;Name=ccmF;gene=ccmF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33927;locus_tag=AG-313-A10_00622;product=Cytochrome c-type biogenesis protein CcmF -AG-313-A10_24 Prodigal:2.6 CDS 5622 6143 . + 0 ID=AG-313-A10_00623;Name=dsbE;gene=dsbE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I3N1;locus_tag=AG-313-A10_00623;product=Thiol:disulfide interchange protein DsbE -AG-313-A10_24 Prodigal:2.6 CDS 6143 6523 . + 0 ID=AG-313-A10_00624;Name=ccmH;gene=ccmH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I3N0;locus_tag=AG-313-A10_00624;product=Cytochrome c-type biogenesis protein CcmH -AG-313-A10_25 Prodigal:2.6 CDS 216 392 . + 0 ID=AG-313-A10_00625;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00625;product=hypothetical protein -AG-313-A10_25 Prodigal:2.6 CDS 871 1149 . - 0 ID=AG-313-A10_00626;Name=hupB;gene=hupB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05384;locus_tag=AG-313-A10_00626;product=DNA-binding protein HU-beta -AG-313-A10_25 Prodigal:2.6 CDS 1230 3641 . - 0 ID=AG-313-A10_00627;eC_number=3.4.21.53;Name=lon;gene=lon;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9M0;locus_tag=AG-313-A10_00627;product=Lon protease -AG-313-A10_25 Prodigal:2.6 CDS 3672 4919 . - 0 ID=AG-313-A10_00628;Name=clpX;gene=clpX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6H1;locus_tag=AG-313-A10_00628;product=ATP-dependent Clp protease ATP-binding subunit ClpX -AG-313-A10_25 Prodigal:2.6 CDS 4909 5523 . - 0 ID=AG-313-A10_00629;eC_number=3.4.21.92;Name=clpP;gene=clpP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6G7;locus_tag=AG-313-A10_00629;product=ATP-dependent Clp protease proteolytic subunit -AG-313-A10_25 Prodigal:2.6 CDS 5527 6435 . - 0 ID=AG-313-A10_00630;eC_number=5.2.1.8;Name=tig;gene=tig;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KQS5;locus_tag=AG-313-A10_00630;product=Trigger factor -AG-313-A10_26 Prodigal:2.6 CDS 2 385 . + 0 ID=AG-313-A10_00631;eC_number=2.1.1.45;Name=thyA;gene=thyA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P67042;locus_tag=AG-313-A10_00631;product=Thymidylate synthase -AG-313-A10_26 Prodigal:2.6 CDS 390 902 . + 0 ID=AG-313-A10_00632;eC_number=1.5.1.3;Name=dfrA;gene=dfrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P11045;locus_tag=AG-313-A10_00632;product=Dihydrofolate reductase -AG-313-A10_26 Prodigal:2.6 CDS 899 2407 . - 0 ID=AG-313-A10_00633;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00633;product=hypothetical protein -AG-313-A10_26 Prodigal:2.6 CDS 2407 2748 . - 0 ID=AG-313-A10_00634;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00634;product=hypothetical protein -AG-313-A10_26 Prodigal:2.6 CDS 2723 3124 . - 0 ID=AG-313-A10_00635;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00635;product=hypothetical protein -AG-313-A10_26 Prodigal:2.6 CDS 3134 3544 . - 0 ID=AG-313-A10_00636;Name=exbD;gene=exbD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABV2;locus_tag=AG-313-A10_00636;product=Biopolymer transport protein ExbD -AG-313-A10_26 Prodigal:2.6 CDS 3561 4085 . - 0 ID=AG-313-A10_00637;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00637;product=hypothetical protein -AG-313-A10_26 Prodigal:2.6 CDS 4093 5475 . - 0 ID=AG-313-A10_00638;Name=exbB;gene=exbB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABU7;locus_tag=AG-313-A10_00638;product=Biopolymer transport protein ExbB -AG-313-A10_26 Prodigal:2.6 CDS 5472 5975 . - 0 ID=AG-313-A10_00639;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00639;product=hypothetical protein -AG-313-A10_27 Prodigal:2.6 CDS 1684 2523 . - 0 ID=AG-313-A10_00640;Name=folD;gene=folD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A697;locus_tag=AG-313-A10_00640;product=Bifunctional protein FolD protein -AG-313-A10_27 Aragorn:1.2 tRNA 2602 2678 . + . ID=AG-313-A10_00641;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00641;product=tRNA-Pro(tgg) -AG-313-A10_27 Aragorn:1.2 tRNA 2681 2757 . + . ID=AG-313-A10_00642;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00642;product=tRNA-Arg(tct) -AG-313-A10_27 Prodigal:2.6 CDS 2930 3862 . + 0 ID=AG-313-A10_00643;eC_number=2.8.1.1;Name=glpE;gene=glpE;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01009;locus_tag=AG-313-A10_00643;product=Thiosulfate sulfurtransferase GlpE -AG-313-A10_27 Prodigal:2.6 CDS 3859 4497 . + 0 ID=AG-313-A10_00644;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00644;product=hypothetical protein -AG-313-A10_27 Prodigal:2.6 CDS 4502 5905 . - 0 ID=AG-313-A10_00645;eC_number=1.4.1.3;Name=gdhA;gene=gdhA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P96110;locus_tag=AG-313-A10_00645;product=Glutamate dehydrogenase -AG-313-A10_27 Aragorn:1.2 tRNA 5967 6043 . + . ID=AG-313-A10_00646;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00646;product=tRNA-His(gtg) -AG-313-A10_28 Prodigal:2.6 CDS 355 672 . - 0 ID=AG-313-A10_00647;Name=slmA;gene=slmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KVD2;locus_tag=AG-313-A10_00647;product=Nucleoid occlusion factor SlmA -AG-313-A10_28 Prodigal:2.6 CDS 677 2050 . - 0 ID=AG-313-A10_00648;eC_number=5.4.2.2;Name=algC;gene=algC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26276;locus_tag=AG-313-A10_00648;product=Phosphomannomutase/phosphoglucomutase -AG-313-A10_28 Prodigal:2.6 CDS 2117 3043 . + 0 ID=AG-313-A10_00649;eC_number=2.6.1.42;Name=ilvE;gene=ilvE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O86428;locus_tag=AG-313-A10_00649;product=Branched-chain-amino-acid aminotransferase -AG-313-A10_28 Prodigal:2.6 CDS 3050 4294 . + 0 ID=AG-313-A10_00650;eC_number=2.4.1.11;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WMY9;locus_tag=AG-313-A10_00650;product=Glycogen synthase -AG-313-A10_28 Prodigal:2.6 CDS 4288 4992 . + 0 ID=AG-313-A10_00651;eC_number=2.1.1.-;Name=ycgJ;gene=ycgJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O31474;locus_tag=AG-313-A10_00651;product=putative methyltransferase YcgJ -AG-313-A10_28 Prodigal:2.6 CDS 4989 6032 . + 0 ID=AG-313-A10_00652;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00652;product=hypothetical protein -AG-313-A10_29 Prodigal:2.6 CDS 332 565 . - 0 ID=AG-313-A10_00653;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00653;product=hypothetical protein -AG-313-A10_29 Prodigal:2.6 CDS 664 1176 . + 0 ID=AG-313-A10_00654;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00654;product=hypothetical protein -AG-313-A10_29 Prodigal:2.6 CDS 1153 1566 . - 0 ID=AG-313-A10_00655;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00655;product=hypothetical protein -AG-313-A10_29 Prodigal:2.6 CDS 1624 3441 . + 0 ID=AG-313-A10_00656;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00656;product=hypothetical protein -AG-313-A10_29 Prodigal:2.6 CDS 3435 4007 . - 0 ID=AG-313-A10_00657;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00657;product=hypothetical protein -AG-313-A10_29 Prodigal:2.6 CDS 4025 4315 . - 0 ID=AG-313-A10_00658;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00658;product=hypothetical protein -AG-313-A10_29 Aragorn:1.2 tRNA 4410 4499 . - . ID=AG-313-A10_00659;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00659;product=tRNA-Ser(gga) -AG-313-A10_29 Prodigal:2.6 CDS 4762 5007 . - 0 ID=AG-313-A10_00660;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00660;product=hypothetical protein -AG-313-A10_29 Prodigal:2.6 CDS 5121 5423 . + 0 ID=AG-313-A10_00661;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00661;product=hypothetical protein -AG-313-A10_29 Prodigal:2.6 CDS 5416 5592 . + 0 ID=AG-313-A10_00662;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00662;product=hypothetical protein -AG-313-A10_29 Prodigal:2.6 CDS 5589 5837 . + 0 ID=AG-313-A10_00663;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00663;product=hypothetical protein -AG-313-A10_30 Prodigal:2.6 CDS 96 272 . + 0 ID=AG-313-A10_00664;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00664;product=hypothetical protein -AG-313-A10_30 Prodigal:2.6 CDS 383 1243 . - 0 ID=AG-313-A10_00665;Name=rpoH;gene=rpoH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGB3;locus_tag=AG-313-A10_00665;product=RNA polymerase sigma factor RpoH -AG-313-A10_30 Prodigal:2.6 CDS 1297 2112 . - 0 ID=AG-313-A10_00666;eC_number=3.1.3.7;Name=cysQ;gene=cysQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26264;locus_tag=AG-313-A10_00666;product=3'(2')%2C5'-bisphosphate nucleotidase CysQ -AG-313-A10_30 Prodigal:2.6 CDS 2120 2770 . + 0 ID=AG-313-A10_00667;eC_number=3.1.3.5;Name=yrfG;gene=yrfG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64636;locus_tag=AG-313-A10_00667;product=GMP/IMP nucleotidase YrfG -AG-313-A10_30 Prodigal:2.6 CDS 2750 3889 . - 0 ID=AG-313-A10_00668;eC_number=3.1.3.1;Name=phoB;gene=phoB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19405;locus_tag=AG-313-A10_00668;product=Alkaline phosphatase 3 -AG-313-A10_30 Prodigal:2.6 CDS 3894 4742 . - 0 ID=AG-313-A10_00669;Name=hel;gene=hel;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26093;locus_tag=AG-313-A10_00669;product=Lipoprotein E -AG-313-A10_30 Prodigal:2.6 CDS 4789 4953 . + 0 ID=AG-313-A10_00670;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00670;product=hypothetical protein -AG-313-A10_31 Prodigal:2.6 CDS 61 438 . + 0 ID=AG-313-A10_00671;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00671;product=hypothetical protein -AG-313-A10_31 Prodigal:2.6 CDS 451 1029 . + 0 ID=AG-313-A10_00672;eC_number=5.3.1.28;Name=gmhA;gene=gmhA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93UJ2;locus_tag=AG-313-A10_00672;product=Phosphoheptose isomerase -AG-313-A10_31 Prodigal:2.6 CDS 1022 1765 . + 0 ID=AG-313-A10_00673;eC_number=3.1.3.25;Name=suhB;gene=suhB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADG4;locus_tag=AG-313-A10_00673;product=Inositol-1-monophosphatase -AG-313-A10_31 Prodigal:2.6 CDS 1766 2731 . + 0 ID=AG-313-A10_00674;eC_number=1.1.1.81;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X1C1;locus_tag=AG-313-A10_00674;product=Hydroxypyruvate reductase -AG-313-A10_31 Prodigal:2.6 CDS 2744 3469 . + 0 ID=AG-313-A10_00675;eC_number=4.1.2.53;Name=rhmA;gene=rhmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76469;locus_tag=AG-313-A10_00675;product=2-keto-3-deoxy-L-rhamnonate aldolase -AG-313-A10_31 Prodigal:2.6 CDS 3470 4228 . + 0 ID=AG-313-A10_00676;eC_number=2.7.7.38;Name=kdsB_2;gene=kdsB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44490;locus_tag=AG-313-A10_00676;product=3-deoxy-manno-octulosonate cytidylyltransferase -AG-313-A10_31 Prodigal:2.6 CDS 4232 4840 . + 0 ID=AG-313-A10_00677;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00677;product=hypothetical protein -AG-313-A10_31 Prodigal:2.6 CDS 5009 5248 . + 0 ID=AG-313-A10_00678;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00678;product=hypothetical protein -AG-313-A10_32 Prodigal:2.6 CDS 4 513 . + 0 ID=AG-313-A10_00679;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00679;product=hypothetical protein -AG-313-A10_32 Prodigal:2.6 CDS 540 2738 . + 0 ID=AG-313-A10_00680;Name=smc;gene=smc;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P51834;locus_tag=AG-313-A10_00680;product=Chromosome partition protein Smc -AG-313-A10_32 Prodigal:2.6 CDS 2740 3348 . + 0 ID=AG-313-A10_00681;Name=zipA;gene=zipA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00509;locus_tag=AG-313-A10_00681;product=Cell division protein ZipA -AG-313-A10_32 Prodigal:2.6 CDS 3719 4033 . - 0 ID=AG-313-A10_00682;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00682;product=hypothetical protein -AG-313-A10_32 Prodigal:2.6 CDS 4898 5158 . - 0 ID=AG-313-A10_00683;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00683;product=hypothetical protein -AG-313-A10_33 Prodigal:2.6 CDS 55 222 . + 0 ID=AG-313-A10_00684;eC_number=3.6.1.22;Name=nudC;gene=nudC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32664;locus_tag=AG-313-A10_00684;product=NADH pyrophosphatase -AG-313-A10_33 Prodigal:2.6 CDS 185 2251 . - 0 ID=AG-313-A10_00685;eC_number=3.1.26.12;Name=rne;gene=rne;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21513;locus_tag=AG-313-A10_00685;product=Ribonuclease E -AG-313-A10_33 Prodigal:2.6 CDS 2521 3462 . + 0 ID=AG-313-A10_00686;eC_number=5.4.99.24;Name=rluC;gene=rluC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AA39;locus_tag=AG-313-A10_00686;product=Ribosomal large subunit pseudouridine synthase C -AG-313-A10_33 Prodigal:2.6 CDS 3498 3710 . + 0 ID=AG-313-A10_00687;Name=rpmF;gene=rpmF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7N4;locus_tag=AG-313-A10_00687;product=50S ribosomal protein L32 -AG-313-A10_33 Prodigal:2.6 CDS 3713 4651 . + 0 ID=AG-313-A10_00688;eC_number=2.3.1.39;Name=fabD;gene=fabD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AAI9;locus_tag=AG-313-A10_00688;product=Malonyl CoA-acyl carrier protein transacylase -AG-313-A10_34 Prodigal:2.6 CDS 67 210 . + 0 ID=AG-313-A10_00689;eC_number=1.6.5.8;Name=nqrF_1;gene=nqrF_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q56584;locus_tag=AG-313-A10_00689;product=Na(+)-translocating NADH-quinone reductase subunit F -AG-313-A10_34 Prodigal:2.6 CDS 225 1100 . + 0 ID=AG-313-A10_00690;eC_number=1.6.5.8;Name=nqrF_2;gene=nqrF_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X4Q8;locus_tag=AG-313-A10_00690;product=Na(+)-translocating NADH-quinone reductase subunit F -AG-313-A10_34 Prodigal:2.6 CDS 1109 2089 . + 0 ID=AG-313-A10_00691;eC_number=2.7.1.180;Name=apbE;gene=apbE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A5F5Y3;locus_tag=AG-313-A10_00691;product=FAD:protein FMN transferase -AG-313-A10_34 Prodigal:2.6 CDS 2052 2261 . + 0 ID=AG-313-A10_00692;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00692;product=hypothetical protein -AG-313-A10_34 Prodigal:2.6 CDS 2258 3919 . - 0 ID=AG-313-A10_00693;eC_number=4.1.3.1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I0K4;locus_tag=AG-313-A10_00693;product=Isocitrate lyase -AG-313-A10_34 Prodigal:2.6 CDS 4005 4469 . - 0 ID=AG-313-A10_00694;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00694;product=hypothetical protein -AG-313-A10_35 Prodigal:2.6 CDS 49 1368 . + 0 ID=AG-313-A10_00695;eC_number=1.6.5.8;Name=nqrA;gene=nqrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P43955;locus_tag=AG-313-A10_00695;product=Na(+)-translocating NADH-quinone reductase subunit A -AG-313-A10_35 Prodigal:2.6 CDS 1365 2600 . + 0 ID=AG-313-A10_00696;eC_number=1.6.5.8;Name=nqrB;gene=nqrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KPS2;locus_tag=AG-313-A10_00696;product=Na(+)-translocating NADH-quinone reductase subunit B -AG-313-A10_35 Prodigal:2.6 CDS 2593 3366 . + 0 ID=AG-313-A10_00697;eC_number=1.6.5.8;Name=nqrC;gene=nqrC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0C6E0;locus_tag=AG-313-A10_00697;product=Na(+)-translocating NADH-quinone reductase subunit C -AG-313-A10_35 Prodigal:2.6 CDS 3356 4042 . + 0 ID=AG-313-A10_00698;eC_number=1.6.5.8;Name=nqrD;gene=nqrD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X4Q6;locus_tag=AG-313-A10_00698;product=Na(+)-translocating NADH-quinone reductase subunit D -AG-313-A10_36 Prodigal:2.6 CDS 90 1343 . + 0 ID=AG-313-A10_00699;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00699;product=hypothetical protein -AG-313-A10_36 Prodigal:2.6 CDS 1345 1770 . - 0 ID=AG-313-A10_00700;Name=nusB;gene=nusB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A780;locus_tag=AG-313-A10_00700;product=N utilization substance protein B -AG-313-A10_36 Prodigal:2.6 CDS 1773 2219 . - 0 ID=AG-313-A10_00701;eC_number=2.5.1.78;Name=ribH;gene=ribH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66529;locus_tag=AG-313-A10_00701;product=6%2C7-dimethyl-8-ribityllumazine synthase -AG-313-A10_36 Prodigal:2.6 CDS 2216 3292 . - 0 ID=AG-313-A10_00702;Name=ribBA;gene=ribBA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WHF1;locus_tag=AG-313-A10_00702;product=Riboflavin biosynthesis protein RibBA -AG-313-A10_36 Prodigal:2.6 CDS 3329 4366 . - 0 ID=AG-313-A10_00703;Name=ribD;gene=ribD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25539;locus_tag=AG-313-A10_00703;product=Riboflavin biosynthesis protein RibD -AG-313-A10_37 Prodigal:2.6 CDS 15 479 . + 0 ID=AG-313-A10_00704;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00704;product=hypothetical protein -AG-313-A10_37 Prodigal:2.6 CDS 476 1285 . - 0 ID=AG-313-A10_00705;eC_number=1.3.1.9;Name=fabI;gene=fabI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEK4;locus_tag=AG-313-A10_00705;product=Enoyl-[acyl-carrier-protein] reductase [NADH] FabI -AG-313-A10_38 Prodigal:2.6 CDS 139 621 . + 0 ID=AG-313-A10_00706;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00706;product=hypothetical protein -AG-313-A10_38 Prodigal:2.6 CDS 631 1851 . - 0 ID=AG-313-A10_00707;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00707;product=hypothetical protein -AG-313-A10_38 Prodigal:2.6 CDS 1887 2261 . - 0 ID=AG-313-A10_00708;eC_number=3.1.2.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45083;locus_tag=AG-313-A10_00708;product=Putative esterase -AG-313-A10_39 Prodigal:2.6 CDS 12 986 . + 0 ID=AG-313-A10_00709;eC_number=1.3.1.31;Name=fldZ;gene=fldZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:G9F1Y9;locus_tag=AG-313-A10_00709;product=2-enoate reductase FldZ -AG-313-A10_39 Prodigal:2.6 CDS 989 2068 . - 0 ID=AG-313-A10_00710;eC_number=1.4.1.1;Name=ald;gene=ald;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8KY18;locus_tag=AG-313-A10_00710;product=Alanine dehydrogenase -AG-313-A10_39 Aragorn:1.2 tRNA 2162 2237 . - . ID=AG-313-A10_00711;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00711;product=tRNA-Ala(ggc) -AG-313-A10_39 Prodigal:2.6 CDS 2245 2640 . - 0 ID=AG-313-A10_00712;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00712;product=hypothetical protein -AG-313-A10_40 Prodigal:2.6 CDS 5 1810 . + 0 ID=AG-313-A10_00713;Name=uvrB;gene=uvrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8F8;locus_tag=AG-313-A10_00713;product=UvrABC system protein B -AG-313-A10_40 Prodigal:2.6 CDS 1813 2532 . - 0 ID=AG-313-A10_00714;eC_number=4.2.2.-;Name=mltF;gene=mltF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HXN1;locus_tag=AG-313-A10_00714;product=Membrane-bound lytic murein transglycosylase F -AG-313-A10_41 Prodigal:2.6 CDS 621 1808 . + 0 ID=AG-313-A10_00715;eC_number=1.3.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53176;locus_tag=AG-313-A10_00715;product=Putative trans-acting enoyl reductase -AG-313-A10_41 Prodigal:2.6 CDS 1863 2375 . + 0 ID=AG-313-A10_00716;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00716;product=hypothetical protein -AG-313-A10_42 Prodigal:2.6 CDS 148 1500 . - 0 ID=AG-313-A10_00717;eC_number=1.14.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WPN9;locus_tag=AG-313-A10_00717;product=Putative cytochrome P450 126 -AG-313-A10_42 Prodigal:2.6 CDS 1500 2198 . - 0 ID=AG-313-A10_00718;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00718;product=hypothetical protein -AG-313-A10_42 Prodigal:2.6 CDS 2423 2788 . - 0 ID=AG-313-A10_00719;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00719;product=hypothetical protein -AG-313-A10_43 Prodigal:2.6 CDS 1860 2045 . + 0 ID=AG-313-A10_00720;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00720;product=hypothetical protein -AG-313-A10_43 Prodigal:2.6 CDS 2166 2330 . + 0 ID=AG-313-A10_00721;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00721;product=hypothetical protein -AG-313-A10_44 Prodigal:2.6 CDS 1893 2078 . + 0 ID=AG-313-A10_00722;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00722;product=hypothetical protein -AG-313-A10_45 Prodigal:2.6 CDS 91 639 . + 0 ID=AG-313-A10_00723;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00723;product=hypothetical protein -AG-313-A10_45 Prodigal:2.6 CDS 652 1638 . + 0 ID=AG-313-A10_00724;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00724;product=hypothetical protein -AG-313-A10_45 Prodigal:2.6 CDS 1614 1799 . - 0 ID=AG-313-A10_00725;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00725;product=hypothetical protein -AG-313-A10_45 Aragorn:1.2 tRNA 1883 1959 . + . ID=AG-313-A10_00726;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00726;product=tRNA-Arg(tcg) -AG-313-A10_46 Prodigal:2.6 CDS 1641 1886 . + 0 ID=AG-313-A10_00727;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00727;product=hypothetical protein -AG-313-A10_47 Prodigal:2.6 CDS 6 788 . + 0 ID=AG-313-A10_00728;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00728;product=hypothetical protein -AG-313-A10_47 Prodigal:2.6 CDS 772 1182 . + 0 ID=AG-313-A10_00729;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A10_00729;product=hypothetical protein -AG-313-A10_47 Aragorn:1.2 tRNA 1188 1263 . + . ID=AG-313-A10_00730;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A10_00730;product=tRNA-Val(tac) -AG-313-A11_1 Prodigal:2.6 CDS 248 1504 . - 0 ID=AG-313-A11_00001;eC_number=4.2.1.11;Name=eno;gene=eno;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P42848;locus_tag=AG-313-A11_00001;product=Enolase -AG-313-A11_1 Prodigal:2.6 CDS 1504 2328 . - 0 ID=AG-313-A11_00002;eC_number=2.5.1.55;Name=kdsA;gene=kdsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8YHF1;locus_tag=AG-313-A11_00002;product=2-dehydro-3-deoxyphosphooctonate aldolase -AG-313-A11_1 Prodigal:2.6 CDS 2325 3941 . - 0 ID=AG-313-A11_00003;eC_number=6.3.4.2;Name=pyrG;gene=pyrG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P99072;locus_tag=AG-313-A11_00003;product=CTP synthase -AG-313-A11_1 Prodigal:2.6 CDS 3982 4284 . - 0 ID=AG-313-A11_00004;Name=secG;gene=secG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG99;locus_tag=AG-313-A11_00004;product=Protein-export membrane protein SecG -AG-313-A11_1 Prodigal:2.6 CDS 4290 5027 . - 0 ID=AG-313-A11_00005;eC_number=5.3.1.1;Name=tpiA;gene=tpiA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8L1Z5;locus_tag=AG-313-A11_00005;product=Triosephosphate isomerase -AG-313-A11_1 Prodigal:2.6 CDS 5084 6502 . + 0 ID=AG-313-A11_00006;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00006;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 6499 7959 . + 0 ID=AG-313-A11_00007;eC_number=4.1.3.27;Name=trpE;gene=trpE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P20580;locus_tag=AG-313-A11_00007;product=Anthranilate synthase component 1 -AG-313-A11_1 Prodigal:2.6 CDS 7956 8525 . + 0 ID=AG-313-A11_00008;eC_number=4.1.3.27;Name=trpG;gene=trpG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26922;locus_tag=AG-313-A11_00008;product=Anthranilate synthase component 2 -AG-313-A11_1 Prodigal:2.6 CDS 8531 9523 . + 0 ID=AG-313-A11_00009;eC_number=2.4.2.18;Name=trpD;gene=trpD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00500;locus_tag=AG-313-A11_00009;product=Anthranilate phosphoribosyltransferase -AG-313-A11_1 Prodigal:2.6 CDS 9516 10331 . + 0 ID=AG-313-A11_00010;eC_number=4.1.1.48;Name=trpC;gene=trpC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2YRR4;locus_tag=AG-313-A11_00010;product=Indole-3-glycerol phosphate synthase -AG-313-A11_1 Prodigal:2.6 CDS 10420 11097 . + 0 ID=AG-313-A11_00011;eC_number=3.4.21.88;Name=lexA;gene=lexA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9ZFA4;locus_tag=AG-313-A11_00011;product=LexA repressor -AG-313-A11_1 Prodigal:2.6 CDS 11120 12520 . + 0 ID=AG-313-A11_00012;eC_number=6.1.1.17;Name=gltX;gene=gltX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2SX36;locus_tag=AG-313-A11_00012;product=Glutamate--tRNA ligase -AG-313-A11_1 Prodigal:2.6 CDS 12497 13633 . - 0 ID=AG-313-A11_00013;eC_number=2.4.1.182;Name=lpxB;gene=lpxB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P10441;locus_tag=AG-313-A11_00013;product=Lipid-A-disaccharide synthase -AG-313-A11_1 Prodigal:2.6 CDS 13630 14424 . - 0 ID=AG-313-A11_00014;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00014;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 14426 15202 . - 0 ID=AG-313-A11_00015;eC_number=2.3.1.129;Name=lpxA;gene=lpxA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A722;locus_tag=AG-313-A11_00015;product=Acyl-[acyl-carrier-protein]--UDP-N-acetylglucosamine O-acyltransferase -AG-313-A11_1 Prodigal:2.6 CDS 15199 16179 . - 0 ID=AG-313-A11_00016;eC_number=2.3.1.-;Name=lpxD;gene=lpxD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B0VMV2;locus_tag=AG-313-A11_00016;product=UDP-3-O-acylglucosamine N-acyltransferase -AG-313-A11_1 Prodigal:2.6 CDS 16234 16677 . - 0 ID=AG-313-A11_00017;eC_number=4.2.1.59;Name=fabZ_1;gene=fabZ_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1VXZ7;locus_tag=AG-313-A11_00017;product=3-hydroxyacyl-[acyl-carrier-protein] dehydratase FabZ -AG-313-A11_1 Prodigal:2.6 CDS 16690 17208 . - 0 ID=AG-313-A11_00018;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00018;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 17208 19457 . - 0 ID=AG-313-A11_00019;Name=bamA;gene=bamA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9K1H0;locus_tag=AG-313-A11_00019;product=Outer membrane protein assembly factor BamA -AG-313-A11_1 Prodigal:2.6 CDS 19470 20630 . - 0 ID=AG-313-A11_00020;eC_number=1.1.1.267;Name=dxr;gene=dxr;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X5F2;locus_tag=AG-313-A11_00020;product=1-deoxy-D-xylulose 5-phosphate reductoisomerase -AG-313-A11_1 Prodigal:2.6 CDS 20627 21271 . - 0 ID=AG-313-A11_00021;eC_number=2.7.7.41;Name=cdsA;gene=cdsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABG1;locus_tag=AG-313-A11_00021;product=Phosphatidate cytidylyltransferase -AG-313-A11_1 Prodigal:2.6 CDS 21271 21945 . - 0 ID=AG-313-A11_00022;eC_number=2.5.1.-;Name=uppS;gene=uppS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60477;locus_tag=AG-313-A11_00022;product=Isoprenyl transferase -AG-313-A11_1 Prodigal:2.6 CDS 21942 22493 . - 0 ID=AG-313-A11_00023;Name=frr;gene=frr;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q81WL1;locus_tag=AG-313-A11_00023;product=Ribosome-recycling factor -AG-313-A11_1 Prodigal:2.6 CDS 22494 23345 . - 0 ID=AG-313-A11_00024;Name=tsf;gene=tsf;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80700;locus_tag=AG-313-A11_00024;product=Elongation factor Ts -AG-313-A11_1 Prodigal:2.6 CDS 23347 24162 . - 0 ID=AG-313-A11_00025;Name=rpsB;gene=rpsB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N5Q2;locus_tag=AG-313-A11_00025;product=30S ribosomal protein S2 -AG-313-A11_1 Prodigal:2.6 CDS 24293 27709 . - 0 ID=AG-313-A11_00026;eC_number=2.7.7.7;Name=dnaE1;gene=dnaE1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8GWS6;locus_tag=AG-313-A11_00026;product=DNA polymerase III subunit alpha -AG-313-A11_1 Prodigal:2.6 CDS 27681 28379 . - 0 ID=AG-313-A11_00027;eC_number=3.6.3.-;Name=macB;gene=macB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P75831;locus_tag=AG-313-A11_00027;product=Macrolide export ATP-binding/permease protein MacB -AG-313-A11_1 Prodigal:2.6 CDS 28372 29601 . - 0 ID=AG-313-A11_00028;Name=lolC;gene=lolC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ADC3;locus_tag=AG-313-A11_00028;product=Lipoprotein-releasing system transmembrane protein LolC -AG-313-A11_1 Prodigal:2.6 CDS 29598 30932 . - 0 ID=AG-313-A11_00029;eC_number=6.1.1.15;Name=proS;gene=proS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N5P6;locus_tag=AG-313-A11_00029;product=Proline--tRNA ligase -AG-313-A11_1 Prodigal:2.6 CDS 30934 31179 . - 0 ID=AG-313-A11_00030;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00030;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 31179 32837 . - 0 ID=AG-313-A11_00031;eC_number=3.1.-.-;Name=rnj1;gene=rnj1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8K5W8;locus_tag=AG-313-A11_00031;product=Ribonuclease J 1 -AG-313-A11_1 Prodigal:2.6 CDS 32838 33584 . - 0 ID=AG-313-A11_00032;eC_number=2.7.1.33;Name=coaX;gene=coaX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37564;locus_tag=AG-313-A11_00032;product=Type III pantothenate kinase -AG-313-A11_1 Prodigal:2.6 CDS 33587 34132 . - 0 ID=AG-313-A11_00033;eC_number=6.3.4.15;Name=birA;gene=birA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06709;locus_tag=AG-313-A11_00033;product=Bifunctional ligase/repressor BirA -AG-313-A11_1 Prodigal:2.6 CDS 34132 35550 . - 0 ID=AG-313-A11_00034;eC_number=1.6.5.11;Name=nuoN;gene=nuoN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1B479;locus_tag=AG-313-A11_00034;product=NADH-quinone oxidoreductase subunit N -AG-313-A11_1 Prodigal:2.6 CDS 35553 37034 . - 0 ID=AG-313-A11_00035;eC_number=1.6.5.-;Name=ndhD1;gene=ndhD1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8DKY0;locus_tag=AG-313-A11_00035;product=NAD(P)H-quinone oxidoreductase chain 4 1 -AG-313-A11_1 Prodigal:2.6 CDS 37034 38947 . - 0 ID=AG-313-A11_00036;eC_number=1.6.5.11;Name=nuoL;gene=nuoL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIW1;locus_tag=AG-313-A11_00036;product=NADH-quinone oxidoreductase subunit L -AG-313-A11_1 Prodigal:2.6 CDS 38949 39260 . - 0 ID=AG-313-A11_00037;eC_number=1.6.5.11;Name=nuoK;gene=nuoK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1B482;locus_tag=AG-313-A11_00037;product=NADH-quinone oxidoreductase subunit K -AG-313-A11_1 Prodigal:2.6 CDS 39253 39882 . - 0 ID=AG-313-A11_00038;eC_number=1.6.5.11;Name=nuoJ;gene=nuoJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFE0;locus_tag=AG-313-A11_00038;product=NADH-quinone oxidoreductase subunit J -AG-313-A11_1 Prodigal:2.6 CDS 39888 40340 . - 0 ID=AG-313-A11_00039;eC_number=1.6.5.11;Name=nuoI;gene=nuoI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1B486;locus_tag=AG-313-A11_00039;product=NADH-quinone oxidoreductase subunit I -AG-313-A11_1 Prodigal:2.6 CDS 40374 41372 . - 0 ID=AG-313-A11_00040;eC_number=1.6.5.11;Name=nuoH;gene=nuoH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P42032;locus_tag=AG-313-A11_00040;product=NADH-quinone oxidoreductase subunit H -AG-313-A11_1 Prodigal:2.6 CDS 41376 43409 . - 0 ID=AG-313-A11_00041;eC_number=1.6.5.11;Name=nqo3;gene=nqo3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29915;locus_tag=AG-313-A11_00041;product=NADH-quinone oxidoreductase chain 3 -AG-313-A11_1 Prodigal:2.6 CDS 43402 44730 . - 0 ID=AG-313-A11_00042;eC_number=1.6.5.11;Name=nuoF;gene=nuoF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A8GQT6;locus_tag=AG-313-A11_00042;product=NADH-quinone oxidoreductase subunit F -AG-313-A11_1 Prodigal:2.6 CDS 44723 45331 . - 0 ID=AG-313-A11_00043;eC_number=1.6.5.11;Name=nqo2;gene=nqo2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29914;locus_tag=AG-313-A11_00043;product=NADH-quinone oxidoreductase chain 2 -AG-313-A11_1 Prodigal:2.6 CDS 45328 46503 . - 0 ID=AG-313-A11_00044;eC_number=1.6.5.11;Name=nuoD;gene=nuoD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1B495;locus_tag=AG-313-A11_00044;product=NADH-quinone oxidoreductase subunit D -AG-313-A11_1 Prodigal:2.6 CDS 46487 47092 . - 0 ID=AG-313-A11_00045;eC_number=1.6.5.11;Name=nqo5;gene=nqo5;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P29917;locus_tag=AG-313-A11_00045;product=NADH-quinone oxidoreductase chain 5 -AG-313-A11_1 Prodigal:2.6 CDS 47094 47609 . - 0 ID=AG-313-A11_00046;eC_number=1.6.5.11;Name=nuoB;gene=nuoB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1B497;locus_tag=AG-313-A11_00046;product=NADH-quinone oxidoreductase subunit B -AG-313-A11_1 Prodigal:2.6 CDS 47622 47990 . - 0 ID=AG-313-A11_00047;eC_number=1.6.5.-;Name=ndhC;gene=ndhC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19045;locus_tag=AG-313-A11_00047;product=NAD(P)H-quinone oxidoreductase subunit 3 -AG-313-A11_1 Aragorn:1.2 tRNA 48098 48174 . - . ID=AG-313-A11_00048;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A11_00048;product=tRNA-Asp(gtc) -AG-313-A11_1 Aragorn:1.2 tRNA 48189 48264 . - . ID=AG-313-A11_00049;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A11_00049;product=tRNA-Val(tac) -AG-313-A11_1 Prodigal:2.6 CDS 48349 49281 . - 0 ID=AG-313-A11_00050;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00050;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 49278 49889 . - 0 ID=AG-313-A11_00051;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00051;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 50121 52499 . - 0 ID=AG-313-A11_00052;eC_number=3.4.21.53;Name=lon;gene=lon;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77810;locus_tag=AG-313-A11_00052;product=Lon protease -AG-313-A11_1 Prodigal:2.6 CDS 52561 53829 . - 0 ID=AG-313-A11_00053;Name=clpX;gene=clpX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0CAU2;locus_tag=AG-313-A11_00053;product=ATP-dependent Clp protease ATP-binding subunit ClpX -AG-313-A11_1 Prodigal:2.6 CDS 53917 54528 . - 0 ID=AG-313-A11_00054;eC_number=3.4.21.92;Name=clpP;gene=clpP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6G7;locus_tag=AG-313-A11_00054;product=ATP-dependent Clp protease proteolytic subunit -AG-313-A11_1 Prodigal:2.6 CDS 54561 55985 . - 0 ID=AG-313-A11_00055;eC_number=5.2.1.8;Name=tig;gene=tig;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KQS5;locus_tag=AG-313-A11_00055;product=Trigger factor -AG-313-A11_1 Aragorn:1.2 tRNA 55999 56083 . - . ID=AG-313-A11_00056;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A11_00056;product=tRNA-Leu(tag) -AG-313-A11_1 Prodigal:2.6 CDS 56172 56423 . + 0 ID=AG-313-A11_00057;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00057;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 56416 56589 . + 0 ID=AG-313-A11_00058;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00058;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 56654 56998 . + 0 ID=AG-313-A11_00059;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00059;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 56995 57120 . - 0 ID=AG-313-A11_00060;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00060;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 57126 57683 . - 0 ID=AG-313-A11_00061;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00061;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 57686 58366 . + 0 ID=AG-313-A11_00062;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00062;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 58356 58778 . - 0 ID=AG-313-A11_00063;eC_number=3.1.2.-;Name=ybgC;gene=ybgC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8Z3;locus_tag=AG-313-A11_00063;product=Acyl-CoA thioester hydrolase YbgC -AG-313-A11_1 Prodigal:2.6 CDS 58802 59452 . - 0 ID=AG-313-A11_00064;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00064;product=hypothetical protein -AG-313-A11_1 Prodigal:2.6 CDS 59673 60425 . - 0 ID=AG-313-A11_00065;eC_number=1.-.-.-;Name=fabG2;gene=fabG2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WGR9;locus_tag=AG-313-A11_00065;product=putative oxidoreductase -AG-313-A11_1 Prodigal:2.6 CDS 60430 61887 . - 0 ID=AG-313-A11_00066;Name=pucI;gene=pucI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P94575;locus_tag=AG-313-A11_00066;product=putative allantoin permease -AG-313-A11_1 Prodigal:2.6 CDS 61913 63247 . - 0 ID=AG-313-A11_00067;Name=siaT_1;gene=siaT_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44543;locus_tag=AG-313-A11_00067;product=Sialic acid TRAP transporter permease protein SiaT -AG-313-A11_1 Prodigal:2.6 CDS 63244 63858 . - 0 ID=AG-313-A11_00068;Name=siaT_2;gene=siaT_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44543;locus_tag=AG-313-A11_00068;product=Sialic acid TRAP transporter permease protein SiaT -AG-313-A11_1 Prodigal:2.6 CDS 63929 64258 . - 0 ID=AG-313-A11_00069;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00069;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 532 1446 . - 0 ID=AG-313-A11_00070;eC_number=5.2.1.8;Name=surA;gene=surA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01183;locus_tag=AG-313-A11_00070;product=Chaperone SurA -AG-313-A11_2 Prodigal:2.6 CDS 1446 3824 . - 0 ID=AG-313-A11_00071;Name=lptD;gene=lptD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44846;locus_tag=AG-313-A11_00071;product=LPS-assembly protein LptD -AG-313-A11_2 Prodigal:2.6 CDS 3814 4893 . - 0 ID=AG-313-A11_00072;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00072;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 4886 5941 . - 0 ID=AG-313-A11_00073;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00073;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 6060 7040 . + 0 ID=AG-313-A11_00074;eC_number=3.4.11.1;Name=pepA_1;gene=pepA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O86436;locus_tag=AG-313-A11_00074;product=Cytosol aminopeptidase -AG-313-A11_2 Prodigal:2.6 CDS 7024 7518 . + 0 ID=AG-313-A11_00075;eC_number=3.4.11.1;Name=pepA_2;gene=pepA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5H4N2;locus_tag=AG-313-A11_00075;product=putative cytosol aminopeptidase -AG-313-A11_2 Prodigal:2.6 CDS 7511 7921 . + 0 ID=AG-313-A11_00076;eC_number=2.7.4.6;Name=ndk;gene=ndk;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PIG7;locus_tag=AG-313-A11_00076;product=Nucleoside diphosphate kinase -AG-313-A11_2 Prodigal:2.6 CDS 7911 8495 . - 0 ID=AG-313-A11_00077;eC_number=2.1.2.2;Name=purN;gene=purN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08179;locus_tag=AG-313-A11_00077;product=Phosphoribosylglycinamide formyltransferase -AG-313-A11_2 Prodigal:2.6 CDS 8473 9501 . - 0 ID=AG-313-A11_00078;eC_number=6.3.3.1;Name=purM;gene=purM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08178;locus_tag=AG-313-A11_00078;product=Phosphoribosylformylglycinamidine cyclo-ligase -AG-313-A11_2 Prodigal:2.6 CDS 9513 10589 . + 0 ID=AG-313-A11_00079;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00079;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 10586 11248 . + 0 ID=AG-313-A11_00080;Name=dnaA_1;gene=dnaA_1;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00377;locus_tag=AG-313-A11_00080;product=Chromosomal replication initiator protein DnaA -AG-313-A11_2 Prodigal:2.6 CDS 11249 13033 . + 0 ID=AG-313-A11_00081;eC_number=6.1.1.12;Name=aspS;gene=aspS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P67015;locus_tag=AG-313-A11_00081;product=Aspartate--tRNA ligase -AG-313-A11_2 Prodigal:2.6 CDS 13035 13868 . - 0 ID=AG-313-A11_00082;eC_number=1.17.4.1;Name=nrdJ;gene=nrdJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O69981;locus_tag=AG-313-A11_00082;product=Vitamin B12-dependent ribonucleotide reductase -AG-313-A11_2 Prodigal:2.6 CDS 13983 14342 . + 0 ID=AG-313-A11_00083;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00083;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 14305 14706 . + 0 ID=AG-313-A11_00084;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00084;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 14703 16040 . - 0 ID=AG-313-A11_00085;eC_number=6.3.4.14;Name=accC;gene=accC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P43873;locus_tag=AG-313-A11_00085;product=Biotin carboxylase -AG-313-A11_2 Prodigal:2.6 CDS 16040 16474 . - 0 ID=AG-313-A11_00086;Name=accB;gene=accB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABD8;locus_tag=AG-313-A11_00086;product=Biotin carboxyl carrier protein of acetyl-CoA carboxylase -AG-313-A11_2 Prodigal:2.6 CDS 16464 16907 . - 0 ID=AG-313-A11_00087;eC_number=4.2.1.10;Name=aroQ;gene=aroQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PJ53;locus_tag=AG-313-A11_00087;product=3-dehydroquinate dehydratase -AG-313-A11_2 Prodigal:2.6 CDS 16924 17142 . + 0 ID=AG-313-A11_00088;Name=thiS;gene=thiS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O31617;locus_tag=AG-313-A11_00088;product=Sulfur carrier protein ThiS -AG-313-A11_2 Prodigal:2.6 CDS 17143 17916 . + 0 ID=AG-313-A11_00089;eC_number=2.8.1.10;Name=thiG;gene=thiG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I6B4;locus_tag=AG-313-A11_00089;product=Thiazole synthase -AG-313-A11_2 Prodigal:2.6 CDS 18045 19688 . - 0 ID=AG-313-A11_00090;eC_number=3.1.26.12;Name=rne;gene=rne;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21513;locus_tag=AG-313-A11_00090;product=Ribonuclease E -AG-313-A11_2 Prodigal:2.6 CDS 19783 22119 . + 0 ID=AG-313-A11_00091;Name=mrcA;gene=mrcA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q07806;locus_tag=AG-313-A11_00091;product=Penicillin-binding protein 1A -AG-313-A11_2 Prodigal:2.6 CDS 22234 23214 . + 0 ID=AG-313-A11_00092;Name=prfB;gene=prfB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07012;locus_tag=AG-313-A11_00092;product=Peptide chain release factor 2 -AG-313-A11_2 Prodigal:2.6 CDS 23211 23765 . + 0 ID=AG-313-A11_00093;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00093;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 23938 25392 . + 0 ID=AG-313-A11_00094;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00094;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 25389 26618 . - 0 ID=AG-313-A11_00095;eC_number=6.1.1.1;Name=tyrS;gene=tyrS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGJ9;locus_tag=AG-313-A11_00095;product=Tyrosine--tRNA ligase -AG-313-A11_2 Prodigal:2.6 CDS 26666 27811 . + 0 ID=AG-313-A11_00096;eC_number=2.7.1.170;Name=anmK;gene=anmK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8EHB5;locus_tag=AG-313-A11_00096;product=Anhydro-N-acetylmuramic acid kinase -AG-313-A11_2 Prodigal:2.6 CDS 27808 28464 . - 0 ID=AG-313-A11_00097;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00097;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 28524 29021 . + 0 ID=AG-313-A11_00098;Name=iscR;gene=iscR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGK8;locus_tag=AG-313-A11_00098;product=HTH-type transcriptional regulator IscR -AG-313-A11_2 Prodigal:2.6 CDS 29024 30466 . + 0 ID=AG-313-A11_00099;Name=sufB;gene=sufB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77522;locus_tag=AG-313-A11_00099;product=FeS cluster assembly protein SufB -AG-313-A11_2 Prodigal:2.6 CDS 30466 31200 . + 0 ID=AG-313-A11_00100;Name=sufC;gene=sufC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77499;locus_tag=AG-313-A11_00100;product=putative ATP-dependent transporter SufC -AG-313-A11_2 Prodigal:2.6 CDS 31201 32448 . + 0 ID=AG-313-A11_00101;Name=sufD;gene=sufD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77689;locus_tag=AG-313-A11_00101;product=FeS cluster assembly protein SufD -AG-313-A11_2 Prodigal:2.6 CDS 32445 33665 . + 0 ID=AG-313-A11_00102;eC_number=2.8.1.7;Name=sufS;gene=sufS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32164;locus_tag=AG-313-A11_00102;product=Cysteine desulfurase SufS -AG-313-A11_2 Prodigal:2.6 CDS 33662 34126 . + 0 ID=AG-313-A11_00103;eC_number=2.-.-.-;Name=sufU;gene=sufU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32163;locus_tag=AG-313-A11_00103;product=Zinc-dependent sulfurtransferase SufU -AG-313-A11_2 Prodigal:2.6 CDS 34132 34428 . + 0 ID=AG-313-A11_00104;Name=paaD;gene=paaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76080;locus_tag=AG-313-A11_00104;product=Putative 1%2C2-phenylacetyl-CoA epoxidase%2C subunit D -AG-313-A11_2 Prodigal:2.6 CDS 34428 34763 . + 0 ID=AG-313-A11_00105;Name=iscA;gene=iscA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AAC8;locus_tag=AG-313-A11_00105;product=Iron-binding protein IscA -AG-313-A11_2 Prodigal:2.6 CDS 34830 35000 . + 0 ID=AG-313-A11_00106;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00106;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 35001 36407 . - 0 ID=AG-313-A11_00107;eC_number=6.3.1.2;Name=glnA;gene=glnA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A1P6;locus_tag=AG-313-A11_00107;product=Glutamine synthetase -AG-313-A11_2 Prodigal:2.6 CDS 36549 37028 . + 0 ID=AG-313-A11_00108;eC_number=4.2.-.-;Name=ybaK;gene=ybaK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45202;locus_tag=AG-313-A11_00108;product=Cys-tRNA(Pro)/Cys-tRNA(Cys) deacylase YbaK -AG-313-A11_2 Prodigal:2.6 CDS 37025 37900 . + 0 ID=AG-313-A11_00109;Name=yedA;gene=yedA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AA70;locus_tag=AG-313-A11_00109;product=putative inner membrane transporter YedA -AG-313-A11_2 Prodigal:2.6 CDS 37904 38812 . - 0 ID=AG-313-A11_00110;eC_number=2.1.1.10;Name=mmuM;gene=mmuM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q47690;locus_tag=AG-313-A11_00110;product=Homocysteine S-methyltransferase -AG-313-A11_2 Prodigal:2.6 CDS 38926 39672 . - 0 ID=AG-313-A11_00111;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00111;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 39687 40187 . + 0 ID=AG-313-A11_00112;Name=moaB;gene=moaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEZ9;locus_tag=AG-313-A11_00112;product=Molybdenum cofactor biosynthesis protein B -AG-313-A11_2 Prodigal:2.6 CDS 40188 40433 . - 0 ID=AG-313-A11_00113;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00113;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 40551 42296 . + 0 ID=AG-313-A11_00114;eC_number=1.2.1.3;Name=acoD;gene=acoD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P46368;locus_tag=AG-313-A11_00114;product=Acetaldehyde dehydrogenase 2 -AG-313-A11_2 Prodigal:2.6 CDS 42342 42689 . + 0 ID=AG-313-A11_00115;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00115;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 42676 43254 . - 0 ID=AG-313-A11_00116;Name=yedZ;gene=yedZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76343;locus_tag=AG-313-A11_00116;product=Sulfoxide reductase heme-binding subunit YedZ -AG-313-A11_2 Prodigal:2.6 CDS 43260 44159 . - 0 ID=AG-313-A11_00117;eC_number=1.8.-.-;Name=yedY;gene=yedY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76342;locus_tag=AG-313-A11_00117;product=Sulfoxide reductase catalytic subunit YedY -AG-313-A11_2 Prodigal:2.6 CDS 44146 44598 . - 0 ID=AG-313-A11_00118;eC_number=2.8.1.12;Name=moaE;gene=moaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67928;locus_tag=AG-313-A11_00118;product=Molybdopterin synthase catalytic subunit -AG-313-A11_2 Prodigal:2.6 CDS 44598 44867 . - 0 ID=AG-313-A11_00119;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00119;product=hypothetical protein -AG-313-A11_2 Prodigal:2.6 CDS 44864 45475 . - 0 ID=AG-313-A11_00120;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00120;product=hypothetical protein -AG-313-A11_3 Prodigal:2.6 CDS 273 1517 . + 0 ID=AG-313-A11_00121;eC_number=2.4.1.129;Name=ftsI;gene=ftsI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8H0A0;locus_tag=AG-313-A11_00121;product=Peptidoglycan synthase FtsI -AG-313-A11_3 Prodigal:2.6 CDS 1521 4364 . + 0 ID=AG-313-A11_00122;eC_number=6.3.2.13;Name=murE;gene=murE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q819Q0;locus_tag=AG-313-A11_00122;product=UDP-N-acetylmuramoyl-L-alanyl-D-glutamate--2%2C6-diaminopimelate ligase -AG-313-A11_3 Prodigal:2.6 CDS 4365 5450 . + 0 ID=AG-313-A11_00123;eC_number=2.7.8.13;Name=mraY;gene=mraY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6W3;locus_tag=AG-313-A11_00123;product=Phospho-N-acetylmuramoyl-pentapeptide-transferase -AG-313-A11_3 Prodigal:2.6 CDS 5450 6745 . + 0 ID=AG-313-A11_00124;eC_number=6.3.2.9;Name=murD;gene=murD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P14900;locus_tag=AG-313-A11_00124;product=UDP-N-acetylmuramoylalanine--D-glutamate ligase -AG-313-A11_3 Prodigal:2.6 CDS 6735 7859 . + 0 ID=AG-313-A11_00125;Name=ftsW;gene=ftsW;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8H092;locus_tag=AG-313-A11_00125;product=Putative lipid II flippase FtsW -AG-313-A11_3 Prodigal:2.6 CDS 7861 8925 . + 0 ID=AG-313-A11_00126;eC_number=2.4.1.227;Name=murG;gene=murG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HW01;locus_tag=AG-313-A11_00126;product=UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase -AG-313-A11_3 Prodigal:2.6 CDS 8915 10309 . + 0 ID=AG-313-A11_00127;eC_number=6.3.2.8;Name=murC;gene=murC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45066;locus_tag=AG-313-A11_00127;product=UDP-N-acetylmuramate--L-alanine ligase -AG-313-A11_3 Prodigal:2.6 CDS 10309 11217 . + 0 ID=AG-313-A11_00128;eC_number=1.3.1.98;Name=murB;gene=murB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8Y776;locus_tag=AG-313-A11_00128;product=UDP-N-acetylenolpyruvoylglucosamine reductase -AG-313-A11_3 Prodigal:2.6 CDS 11219 12133 . + 0 ID=AG-313-A11_00129;eC_number=6.3.2.4;Name=ddlB;gene=ddlB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07862;locus_tag=AG-313-A11_00129;product=D-alanine--D-alanine ligase B -AG-313-A11_3 Prodigal:2.6 CDS 12114 12782 . + 0 ID=AG-313-A11_00130;Name=ftsQ;gene=ftsQ;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00911;locus_tag=AG-313-A11_00130;product=Cell division protein FtsQ -AG-313-A11_3 Prodigal:2.6 CDS 12775 13476 . + 0 ID=AG-313-A11_00131;Name=ftsA;gene=ftsA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_02033;locus_tag=AG-313-A11_00131;product=Cell division protein FtsA -AG-313-A11_3 Prodigal:2.6 CDS 13541 14461 . + 0 ID=AG-313-A11_00132;eC_number=3.5.1.-;Name=lpxC;gene=lpxC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P47205;locus_tag=AG-313-A11_00132;product=UDP-3-O-[3-hydroxymyristoyl] N-acetylglucosamine deacetylase -AG-313-A11_3 Prodigal:2.6 CDS 14507 15346 . + 0 ID=AG-313-A11_00133;Name=bamD;gene=bamD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9K0B1;locus_tag=AG-313-A11_00133;product=Outer membrane protein assembly factor BamD -AG-313-A11_3 Prodigal:2.6 CDS 15349 17376 . + 0 ID=AG-313-A11_00134;eC_number=6.5.1.2;Name=ligA;gene=ligA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P43813;locus_tag=AG-313-A11_00134;product=DNA ligase -AG-313-A11_3 Prodigal:2.6 CDS 17359 17622 . - 0 ID=AG-313-A11_00135;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00135;product=hypothetical protein -AG-313-A11_3 Prodigal:2.6 CDS 17939 18787 . - 0 ID=AG-313-A11_00136;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00136;product=hypothetical protein -AG-313-A11_3 Prodigal:2.6 CDS 19056 20432 . - 0 ID=AG-313-A11_00137;eC_number=3.6.4.12;Name=uvrD;gene=uvrD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P03018;locus_tag=AG-313-A11_00137;product=DNA helicase II -AG-313-A11_3 Prodigal:2.6 CDS 20537 21037 . - 0 ID=AG-313-A11_00138;eC_number=3.6.4.12;Name=pcrA;gene=pcrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34580;locus_tag=AG-313-A11_00138;product=ATP-dependent DNA helicase PcrA -AG-313-A11_3 Prodigal:2.6 CDS 21072 22562 . + 0 ID=AG-313-A11_00139;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00139;product=hypothetical protein -AG-313-A11_3 Prodigal:2.6 CDS 22550 23938 . - 0 ID=AG-313-A11_00140;eC_number=4.2.1.2;Name=fumC;gene=fumC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q92PB6;locus_tag=AG-313-A11_00140;product=Fumarate hydratase class II -AG-313-A11_3 Prodigal:2.6 CDS 24004 24375 . + 0 ID=AG-313-A11_00141;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00141;product=hypothetical protein -AG-313-A11_3 Prodigal:2.6 CDS 24377 25210 . - 0 ID=AG-313-A11_00142;eC_number=2.4.2.19;Name=nadC;gene=nadC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WJJ7;locus_tag=AG-313-A11_00142;product=Nicotinate-nucleotide pyrophosphorylase [carboxylating] -AG-313-A11_3 Prodigal:2.6 CDS 25217 26206 . - 0 ID=AG-313-A11_00143;eC_number=2.5.1.72;Name=nadA;gene=nadA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X1X7;locus_tag=AG-313-A11_00143;product=Quinolinate synthase A -AG-313-A11_3 Aragorn:1.2 tRNA 26264 26349 . + . ID=AG-313-A11_00144;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A11_00144;product=tRNA-Leu(gag) -AG-313-A11_3 Prodigal:2.6 CDS 26355 27242 . - 0 ID=AG-313-A11_00145;Name=ygfZ;gene=ygfZ;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01175;locus_tag=AG-313-A11_00145;product=tRNA-modifying protein YgfZ -AG-313-A11_3 Prodigal:2.6 CDS 27286 28593 . + 0 ID=AG-313-A11_00146;eC_number=3.5.2.-;Name=lhyD;gene=lhyD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P81006;locus_tag=AG-313-A11_00146;product=L-hydantoinase -AG-313-A11_3 Prodigal:2.6 CDS 28579 29757 . - 0 ID=AG-313-A11_00147;eC_number=2.6.1.59;Name=wecE;gene=wecE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P27833;locus_tag=AG-313-A11_00147;product=dTDP-4-amino-4%2C6-dideoxygalactose transaminase -AG-313-A11_3 Prodigal:2.6 CDS 29715 30503 . - 0 ID=AG-313-A11_00148;Name=kfoC;gene=kfoC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8L0V4;locus_tag=AG-313-A11_00148;product=Chondroitin synthase -AG-313-A11_3 Prodigal:2.6 CDS 30503 30820 . - 0 ID=AG-313-A11_00149;Name=nepA;gene=nepA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAI5;locus_tag=AG-313-A11_00149;product=Nicotine metabolites export pump subunit NepA -AG-313-A11_3 Prodigal:2.6 CDS 30813 32714 . - 0 ID=AG-313-A11_00150;eC_number=6.2.1.1;Name=acsA_1;gene=acsA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q89WV5;locus_tag=AG-313-A11_00150;product=Acetyl-coenzyme A synthetase -AG-313-A11_3 Prodigal:2.6 CDS 33017 33907 . - 0 ID=AG-313-A11_00151;eC_number=2.1.1.199;Name=rsmH;gene=rsmH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SJD8;locus_tag=AG-313-A11_00151;product=Ribosomal RNA small subunit methyltransferase H -AG-313-A11_3 Prodigal:2.6 CDS 33938 35401 . - 0 ID=AG-313-A11_00152;Name=ftsZ;gene=ftsZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9A6;locus_tag=AG-313-A11_00152;product=Cell division protein FtsZ -AG-313-A11_3 Prodigal:2.6 CDS 35416 35871 . - 0 ID=AG-313-A11_00153;Name=mraZ;gene=mraZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0R025;locus_tag=AG-313-A11_00153;product=Transcriptional regulator MraZ -AG-313-A11_4 Prodigal:2.6 CDS 37 393 . + 0 ID=AG-313-A11_00154;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00154;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 397 810 . + 0 ID=AG-313-A11_00155;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00155;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 823 2910 . + 0 ID=AG-313-A11_00156;eC_number=6.2.1.1;Name=acsA_2;gene=acsA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q89WV5;locus_tag=AG-313-A11_00156;product=Acetyl-coenzyme A synthetase -AG-313-A11_4 Prodigal:2.6 CDS 2907 3530 . - 0 ID=AG-313-A11_00157;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00157;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 3656 3916 . + 0 ID=AG-313-A11_00158;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00158;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 3916 5724 . + 0 ID=AG-313-A11_00159;Name=actP;gene=actP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32705;locus_tag=AG-313-A11_00159;product=Cation/acetate symporter ActP -AG-313-A11_4 Prodigal:2.6 CDS 5795 6151 . + 0 ID=AG-313-A11_00160;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00160;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 6180 6839 . + 0 ID=AG-313-A11_00161;eC_number=5.1.3.1;Name=rpe;gene=rpe;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P74061;locus_tag=AG-313-A11_00161;product=Ribulose-phosphate 3-epimerase -AG-313-A11_4 Prodigal:2.6 CDS 6845 8455 . + 0 ID=AG-313-A11_00162;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00162;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 8434 9990 . + 0 ID=AG-313-A11_00163;Name=purH;gene=purH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15639;locus_tag=AG-313-A11_00163;product=Bifunctional purine biosynthesis protein PurH -AG-313-A11_4 Prodigal:2.6 CDS 9980 10324 . - 0 ID=AG-313-A11_00164;eC_number=4.2.1.96;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q02I31;locus_tag=AG-313-A11_00164;product=Putative pterin-4-alpha-carbinolamine dehydratase -AG-313-A11_4 Prodigal:2.6 CDS 10317 11231 . - 0 ID=AG-313-A11_00165;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00165;product=hypothetical protein -AG-313-A11_4 Aragorn:1.2 tRNA 11241 11315 . - . ID=AG-313-A11_00166;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A11_00166;product=tRNA-Gly(gcc) -AG-313-A11_4 Prodigal:2.6 CDS 11386 12033 . + 0 ID=AG-313-A11_00167;eC_number=3.4.21.53;Name=lon2;gene=lon2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P36774;locus_tag=AG-313-A11_00167;product=Lon protease 2 -AG-313-A11_4 Prodigal:2.6 CDS 12034 13107 . - 0 ID=AG-313-A11_00168;eC_number=1.14.13.-;Name=ubiI;gene=ubiI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P25535;locus_tag=AG-313-A11_00168;product=2-octaprenylphenol hydroxylase -AG-313-A11_4 Prodigal:2.6 CDS 13139 14056 . + 0 ID=AG-313-A11_00169;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00169;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 14007 15260 . + 0 ID=AG-313-A11_00170;Name=ftsK;gene=ftsK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I0M3;locus_tag=AG-313-A11_00170;product=DNA translocase FtsK -AG-313-A11_4 Prodigal:2.6 CDS 15260 15808 . + 0 ID=AG-313-A11_00171;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00171;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 15805 16308 . - 0 ID=AG-313-A11_00172;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00172;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 16305 16670 . - 0 ID=AG-313-A11_00173;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P64382;locus_tag=AG-313-A11_00173;product=putative HIT-like protein -AG-313-A11_4 Prodigal:2.6 CDS 16673 17560 . - 0 ID=AG-313-A11_00174;eC_number=6.2.1.5;Name=sucD;gene=sucD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80865;locus_tag=AG-313-A11_00174;product=Succinyl-CoA ligase [ADP-forming] subunit alpha -AG-313-A11_4 Prodigal:2.6 CDS 17566 18726 . - 0 ID=AG-313-A11_00175;eC_number=6.2.1.5;Name=sucC;gene=sucC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80886;locus_tag=AG-313-A11_00175;product=Succinyl-CoA ligase [ADP-forming] subunit beta -AG-313-A11_4 Prodigal:2.6 CDS 18729 19667 . - 0 ID=AG-313-A11_00176;eC_number=4.1.3.24;Name=mcl1;gene=mcl1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3J5L6;locus_tag=AG-313-A11_00176;product=L-malyl-CoA/beta-methylmalyl-CoA lyase -AG-313-A11_4 Prodigal:2.6 CDS 19742 20014 . - 0 ID=AG-313-A11_00177;eC_number=3.6.1.31;Name=hisE;gene=hisE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q81G00;locus_tag=AG-313-A11_00177;product=Phosphoribosyl-ATP pyrophosphatase -AG-313-A11_4 Prodigal:2.6 CDS 20016 20768 . - 0 ID=AG-313-A11_00178;eC_number=4.1.3.-;Name=hisF;gene=hisF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7SIB9;locus_tag=AG-313-A11_00178;product=Imidazole glycerol phosphate synthase subunit HisF -AG-313-A11_4 Prodigal:2.6 CDS 20761 21477 . - 0 ID=AG-313-A11_00179;eC_number=5.3.1.16;Name=hisA;gene=hisA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A1R562;locus_tag=AG-313-A11_00179;product=1-(5-phosphoribosyl)-5-[(5-phosphoribosylamino)methylideneamino] imidazole-4-carboxamide isomerase -AG-313-A11_4 Prodigal:2.6 CDS 21522 22406 . - 0 ID=AG-313-A11_00180;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00180;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 22409 23035 . - 0 ID=AG-313-A11_00181;eC_number=2.4.2.-;Name=hisH1;gene=hisH1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q0P8U2;locus_tag=AG-313-A11_00181;product=Imidazole glycerol phosphate synthase subunit HisH 1 -AG-313-A11_4 Prodigal:2.6 CDS 23042 23632 . - 0 ID=AG-313-A11_00182;eC_number=4.2.1.19;Name=hisB;gene=hisB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A0QX83;locus_tag=AG-313-A11_00182;product=Imidazoleglycerol-phosphate dehydratase -AG-313-A11_4 Prodigal:2.6 CDS 23724 24239 . + 0 ID=AG-313-A11_00183;eC_number=3.4.25.2;Name=hslV;gene=hslV;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7B8;locus_tag=AG-313-A11_00183;product=ATP-dependent protease subunit HslV -AG-313-A11_4 Prodigal:2.6 CDS 24239 25609 . + 0 ID=AG-313-A11_00184;Name=hslU;gene=hslU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6H5;locus_tag=AG-313-A11_00184;product=ATP-dependent protease ATPase subunit HslU -AG-313-A11_4 Prodigal:2.6 CDS 25613 26440 . - 0 ID=AG-313-A11_00185;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00185;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 26437 26856 . - 0 ID=AG-313-A11_00186;eC_number=3.1.-.-;Name=mutS2;gene=mutS2;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00092;locus_tag=AG-313-A11_00186;product=Endonuclease MutS2 -AG-313-A11_4 Prodigal:2.6 CDS 26857 27453 . - 0 ID=AG-313-A11_00187;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00187;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 27511 27936 . + 0 ID=AG-313-A11_00188;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00188;product=hypothetical protein -AG-313-A11_4 Prodigal:2.6 CDS 27920 28342 . + 0 ID=AG-313-A11_00189;Name=secB;gene=secB;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00821;locus_tag=AG-313-A11_00189;product=Protein-export protein SecB -AG-313-A11_4 Prodigal:2.6 CDS 28339 29001 . - 0 ID=AG-313-A11_00190;eC_number=2.7.7.7;Name=dnaQ;gene=dnaQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P03007;locus_tag=AG-313-A11_00190;product=DNA polymerase III subunit epsilon -AG-313-A11_4 Prodigal:2.6 CDS 29001 29570 . - 0 ID=AG-313-A11_00191;eC_number=2.7.1.24;Name=coaE;gene=coaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q56416;locus_tag=AG-313-A11_00191;product=Dephospho-CoA kinase -AG-313-A11_4 Prodigal:2.6 CDS 29563 30360 . - 0 ID=AG-313-A11_00192;eC_number=1.1.1.25;Name=aroE;gene=aroE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67049;locus_tag=AG-313-A11_00192;product=Shikimate dehydrogenase (NADP(+)) -AG-313-A11_4 Prodigal:2.6 CDS 30362 30949 . - 0 ID=AG-313-A11_00193;Name=maf;gene=maf;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q02169;locus_tag=AG-313-A11_00193;product=Septum formation protein Maf -AG-313-A11_4 Prodigal:2.6 CDS 30942 31766 . - 0 ID=AG-313-A11_00194;eC_number=2.7.11.32;Name=yqfL;gene=yqfL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54470;locus_tag=AG-313-A11_00194;product=Putative pyruvate%2C phosphate dikinase regulatory protein -AG-313-A11_4 Prodigal:2.6 CDS 32049 33050 . + 0 ID=AG-313-A11_00195;eC_number=4.1.1.37;Name=hemE;gene=hemE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P32920;locus_tag=AG-313-A11_00195;product=Uroporphyrinogen decarboxylase -AG-313-A11_4 Prodigal:2.6 CDS 33051 34049 . + 0 ID=AG-313-A11_00196;eC_number=4.99.1.1;Name=hemH;gene=hemH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23871;locus_tag=AG-313-A11_00196;product=Ferrochelatase -AG-313-A11_4 Prodigal:2.6 CDS 34051 34482 . + 0 ID=AG-313-A11_00197;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00197;product=hypothetical protein -AG-313-A11_5 Prodigal:2.6 CDS 110 334 . + 0 ID=AG-313-A11_00198;eC_number=3.4.23.36;Name=lspA;gene=lspA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00804;locus_tag=AG-313-A11_00198;product=Lipoprotein signal peptidase -AG-313-A11_5 Prodigal:2.6 CDS 327 626 . + 0 ID=AG-313-A11_00199;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00199;product=hypothetical protein -AG-313-A11_5 Prodigal:2.6 CDS 623 1789 . + 0 ID=AG-313-A11_00200;eC_number=5.3.1.9;Name=pgi;gene=pgi;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X1A5;locus_tag=AG-313-A11_00200;product=Glucose-6-phosphate isomerase -AG-313-A11_5 Prodigal:2.6 CDS 1786 2346 . - 0 ID=AG-313-A11_00201;eC_number=2.1.1.171;Name=rsmD;gene=rsmD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44869;locus_tag=AG-313-A11_00201;product=Ribosomal RNA small subunit methyltransferase D -AG-313-A11_5 Prodigal:2.6 CDS 2343 3611 . - 0 ID=AG-313-A11_00202;eC_number=6.3.4.13;Name=purD;gene=purD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66949;locus_tag=AG-313-A11_00202;product=Phosphoribosylamine--glycine ligase -AG-313-A11_5 Prodigal:2.6 CDS 3633 3821 . + 0 ID=AG-313-A11_00203;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00203;product=hypothetical protein -AG-313-A11_5 Prodigal:2.6 CDS 3824 4687 . - 0 ID=AG-313-A11_00204;eC_number=2.3.1.243;Name=lpxM2;gene=lpxM2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O06659;locus_tag=AG-313-A11_00204;product=Lipid A biosynthesis myristoyltransferase 2 -AG-313-A11_5 Prodigal:2.6 CDS 4680 5636 . - 0 ID=AG-313-A11_00205;eC_number=2.7.1.130;Name=lpxK;gene=lpxK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P27300;locus_tag=AG-313-A11_00205;product=Tetraacyldisaccharide 4'-kinase -AG-313-A11_5 Prodigal:2.6 CDS 5636 6880 . - 0 ID=AG-313-A11_00206;eC_number=2.4.99.12;Name=waaA;gene=waaA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC75;locus_tag=AG-313-A11_00206;product=3-deoxy-D-manno-octulosonic acid transferase -AG-313-A11_5 Prodigal:2.6 CDS 6880 8619 . - 0 ID=AG-313-A11_00207;eC_number=3.6.3.-;Name=msbA;gene=msbA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KQW9;locus_tag=AG-313-A11_00207;product=Lipid A export ATP-binding/permease protein MsbA -AG-313-A11_5 Prodigal:2.6 CDS 8620 9483 . - 0 ID=AG-313-A11_00208;eC_number=2.5.1.-;Name=ubiA;gene=ubiA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGK1;locus_tag=AG-313-A11_00208;product=4-hydroxybenzoate octaprenyltransferase -AG-313-A11_5 Prodigal:2.6 CDS 9535 9939 . + 0 ID=AG-313-A11_00209;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00209;product=hypothetical protein -AG-313-A11_5 Prodigal:2.6 CDS 9936 10907 . - 0 ID=AG-313-A11_00210;eC_number=1.3.1.103;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q59I44;locus_tag=AG-313-A11_00210;product=2-haloacrylate reductase -AG-313-A11_5 Prodigal:2.6 CDS 10911 11747 . - 0 ID=AG-313-A11_00211;eC_number=1.13.11.24;Name=yhhW;gene=yhhW;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P46852;locus_tag=AG-313-A11_00211;product=Quercetin 2%2C3-dioxygenase -AG-313-A11_5 Prodigal:2.6 CDS 11831 12391 . + 0 ID=AG-313-A11_00212;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00212;product=hypothetical protein -AG-313-A11_5 Prodigal:2.6 CDS 12395 12583 . - 0 ID=AG-313-A11_00213;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00213;product=hypothetical protein -AG-313-A11_5 Prodigal:2.6 CDS 12663 13325 . - 0 ID=AG-313-A11_00214;eC_number=3.8.1.2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q53464;locus_tag=AG-313-A11_00214;product=(S)-2-haloacid dehalogenase -AG-313-A11_5 Prodigal:2.6 CDS 13343 14044 . + 0 ID=AG-313-A11_00215;eC_number=2.1.1.193;Name=rsmE;gene=rsmE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGL7;locus_tag=AG-313-A11_00215;product=Ribosomal RNA small subunit methyltransferase E -AG-313-A11_5 Prodigal:2.6 CDS 14105 14917 . + 0 ID=AG-313-A11_00216;eC_number=1.9.3.1;Name=ctaC;gene=ctaC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q03736;locus_tag=AG-313-A11_00216;product=Cytochrome c oxidase subunit 2 -AG-313-A11_5 Prodigal:2.6 CDS 14920 16554 . + 0 ID=AG-313-A11_00217;eC_number=1.9.3.1;Name=ctaD;gene=ctaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P31833;locus_tag=AG-313-A11_00217;product=Cytochrome c oxidase subunit 1 -AG-313-A11_5 Prodigal:2.6 CDS 16575 17486 . + 0 ID=AG-313-A11_00218;eC_number=2.5.1.-;Name=ctaB;gene=ctaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3J5F9;locus_tag=AG-313-A11_00218;product=Protoheme IX farnesyltransferase -AG-313-A11_5 Prodigal:2.6 CDS 17483 17608 . + 0 ID=AG-313-A11_00219;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00219;product=hypothetical protein -AG-313-A11_5 Prodigal:2.6 CDS 17605 18138 . + 0 ID=AG-313-A11_00220;Name=ctaG;gene=ctaG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P56940;locus_tag=AG-313-A11_00220;product=Cytochrome c oxidase assembly protein CtaG -AG-313-A11_5 Prodigal:2.6 CDS 18146 18934 . + 0 ID=AG-313-A11_00221;eC_number=1.9.3.1;Name=ctaE;gene=ctaE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06030;locus_tag=AG-313-A11_00221;product=Cytochrome c oxidase subunit 3 -AG-313-A11_5 Prodigal:2.6 CDS 18885 19598 . + 0 ID=AG-313-A11_00222;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00222;product=hypothetical protein -AG-313-A11_5 Prodigal:2.6 CDS 19598 20971 . + 0 ID=AG-313-A11_00223;eC_number=4.2.3.1;Name=thrC;gene=thrC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23669;locus_tag=AG-313-A11_00223;product=Threonine synthase -AG-313-A11_5 Prodigal:2.6 CDS 20968 21453 . + 0 ID=AG-313-A11_00224;eC_number=1.11.1.15;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P73728;locus_tag=AG-313-A11_00224;product=Putative peroxiredoxin -AG-313-A11_5 Prodigal:2.6 CDS 21444 21872 . - 0 ID=AG-313-A11_00225;eC_number=3.1.26.4;Name=rnhA;gene=rnhA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7Y4;locus_tag=AG-313-A11_00225;product=Ribonuclease HI -AG-313-A11_5 Prodigal:2.6 CDS 21876 22838 . - 0 ID=AG-313-A11_00226;eC_number=2.7.1.39;Name=thrB;gene=thrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8UHA8;locus_tag=AG-313-A11_00226;product=Homoserine kinase -AG-313-A11_5 Prodigal:2.6 CDS 22839 23783 . - 0 ID=AG-313-A11_00227;eC_number=1.17.1.2;Name=ispH;gene=ispH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P62623;locus_tag=AG-313-A11_00227;product=4-hydroxy-3-methylbut-2-enyl diphosphate reductase -AG-313-A11_5 Prodigal:2.6 CDS 23764 24708 . - 0 ID=AG-313-A11_00228;eC_number=1.13.11.63;Name=blh;gene=blh;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q4PNI0;locus_tag=AG-313-A11_00228;product=Beta-carotene 15%2C15'-dioxygenase -AG-313-A11_5 Prodigal:2.6 CDS 24715 25782 . - 0 ID=AG-313-A11_00229;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00229;product=hypothetical protein -AG-313-A11_5 Prodigal:2.6 CDS 25769 26620 . - 0 ID=AG-313-A11_00230;eC_number=2.5.1.32;Name=crtB;gene=crtB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21683;locus_tag=AG-313-A11_00230;product=All-trans-phytoene synthase/15-cis-phytoene synthase -AG-313-A11_5 Prodigal:2.6 CDS 26620 28080 . - 0 ID=AG-313-A11_00231;eC_number=1.3.99.31;Name=crtI;gene=crtI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21685;locus_tag=AG-313-A11_00231;product=Phytoene desaturase (lycopene-forming) -AG-313-A11_5 Prodigal:2.6 CDS 28120 28617 . - 0 ID=AG-313-A11_00232;Name=atpF;gene=atpF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P15013;locus_tag=AG-313-A11_00232;product=ATP synthase subunit b -AG-313-A11_5 Prodigal:2.6 CDS 28607 29197 . - 0 ID=AG-313-A11_00233;Name=atpG;gene=atpG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O05332;locus_tag=AG-313-A11_00233;product=ATP synthase subunit b' -AG-313-A11_5 Prodigal:2.6 CDS 29202 29429 . - 0 ID=AG-313-A11_00234;Name=atpE;gene=atpE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O05331;locus_tag=AG-313-A11_00234;product=ATP synthase subunit c -AG-313-A11_5 Prodigal:2.6 CDS 29448 30182 . - 0 ID=AG-313-A11_00235;Name=atpB;gene=atpB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O05330;locus_tag=AG-313-A11_00235;product=ATP synthase subunit a -AG-313-A11_5 Prodigal:2.6 CDS 30193 30468 . - 0 ID=AG-313-A11_00236;Name=atpI;gene=atpI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O05329;locus_tag=AG-313-A11_00236;product=ATP synthase protein I -AG-313-A11_5 Prodigal:2.6 CDS 30478 32874 . - 0 ID=AG-313-A11_00237;Name=smc;gene=smc;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8GZ28;locus_tag=AG-313-A11_00237;product=Chromosome partition protein Smc -AG-313-A11_5 Prodigal:2.6 CDS 32883 33458 . - 0 ID=AG-313-A11_00238;Name=bdbD;gene=bdbD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32218;locus_tag=AG-313-A11_00238;product=Disulfide bond formation protein D -AG-313-A11_5 Prodigal:2.6 CDS 33455 33943 . - 0 ID=AG-313-A11_00239;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00239;product=hypothetical protein -AG-313-A11_6 Prodigal:2.6 CDS 592 1698 . - 0 ID=AG-313-A11_00240;Name=ribD;gene=ribD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17618;locus_tag=AG-313-A11_00240;product=Riboflavin biosynthesis protein RibD -AG-313-A11_6 Prodigal:2.6 CDS 1679 2137 . - 0 ID=AG-313-A11_00241;Name=nrdR;gene=nrdR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8D0;locus_tag=AG-313-A11_00241;product=Transcriptional repressor NrdR -AG-313-A11_6 Prodigal:2.6 CDS 2134 3447 . - 0 ID=AG-313-A11_00242;eC_number=2.1.2.1;Name=glyA2;gene=glyA2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3JGP5;locus_tag=AG-313-A11_00242;product=Serine hydroxymethyltransferase 2 -AG-313-A11_6 Prodigal:2.6 CDS 3453 3878 . - 0 ID=AG-313-A11_00243;eC_number=5.3.1.6;Name=rpiB;gene=rpiB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37351;locus_tag=AG-313-A11_00243;product=Ribose-5-phosphate isomerase B -AG-313-A11_6 Prodigal:2.6 CDS 3880 4470 . - 0 ID=AG-313-A11_00244;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00244;product=hypothetical protein -AG-313-A11_6 Prodigal:2.6 CDS 4561 5547 . + 0 ID=AG-313-A11_00245;eC_number=4.2.1.24;Name=hemB;gene=hemB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45622;locus_tag=AG-313-A11_00245;product=Delta-aminolevulinic acid dehydratase -AG-313-A11_6 Prodigal:2.6 CDS 5551 6231 . - 0 ID=AG-313-A11_00246;Name=recO;gene=recO;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00201;locus_tag=AG-313-A11_00246;product=DNA repair protein RecO -AG-313-A11_6 Prodigal:2.6 CDS 6228 6896 . - 0 ID=AG-313-A11_00247;eC_number=3.1.26.3;Name=rnc;gene=rnc;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q52698;locus_tag=AG-313-A11_00247;product=Ribonuclease 3 -AG-313-A11_6 Prodigal:2.6 CDS 6896 7630 . - 0 ID=AG-313-A11_00248;eC_number=3.4.21.89;Name=lepB;gene=lepB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8L2J7;locus_tag=AG-313-A11_00248;product=Signal peptidase I -AG-313-A11_6 Prodigal:2.6 CDS 7627 8013 . - 0 ID=AG-313-A11_00249;eC_number=2.7.8.7;Name=acpS;gene=acpS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P24224;locus_tag=AG-313-A11_00249;product=Holo-[acyl-carrier-protein] synthase -AG-313-A11_6 Prodigal:2.6 CDS 8018 8734 . - 0 ID=AG-313-A11_00250;eC_number=2.6.99.2;Name=pdxJ;gene=pdxJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A794;locus_tag=AG-313-A11_00250;product=Pyridoxine 5'-phosphate synthase -AG-313-A11_6 Prodigal:2.6 CDS 8731 9318 . - 0 ID=AG-313-A11_00251;eC_number=2.4.2.10;Name=pyrE;gene=pyrE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P56162;locus_tag=AG-313-A11_00251;product=Orotate phosphoribosyltransferase -AG-313-A11_6 Prodigal:2.6 CDS 9275 11020 . - 0 ID=AG-313-A11_00252;eC_number=2.7.6.5;Name=rsh;gene=rsh;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q57E90;locus_tag=AG-313-A11_00252;product=GTP pyrophosphokinase rsh -AG-313-A11_6 Prodigal:2.6 CDS 11040 11537 . - 0 ID=AG-313-A11_00253;Name=sulD;gene=sulD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P59657;locus_tag=AG-313-A11_00253;product=Bifunctional folate synthesis protein -AG-313-A11_6 Prodigal:2.6 CDS 11518 11988 . - 0 ID=AG-313-A11_00254;Name=smpB;gene=smpB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8H482;locus_tag=AG-313-A11_00254;product=SsrA-binding protein -AG-313-A11_6 Prodigal:2.6 CDS 11988 12869 . - 0 ID=AG-313-A11_00255;eC_number=4.3.3.7;Name=dapA;gene=dapA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q07607;locus_tag=AG-313-A11_00255;product=4-hydroxy-tetrahydrodipicolinate synthase -AG-313-A11_6 Prodigal:2.6 CDS 12913 15132 . + 0 ID=AG-313-A11_00256;eC_number=4.2.2.-;Name=slt;gene=slt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGC3;locus_tag=AG-313-A11_00256;product=Soluble lytic murein transglycosylase -AG-313-A11_6 Aragorn:1.2 tRNA 15136 15227 . - . ID=AG-313-A11_00257;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A11_00257;product=tRNA-Ser(gct) -AG-313-A11_6 Prodigal:2.6 CDS 15292 16545 . + 0 ID=AG-313-A11_00258;eC_number=1.5.3.1;Name=soxB;gene=soxB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40875;locus_tag=AG-313-A11_00258;product=Sarcosine oxidase subunit beta -AG-313-A11_6 Prodigal:2.6 CDS 16545 16820 . + 0 ID=AG-313-A11_00259;eC_number=1.5.3.1;Name=soxD;gene=soxD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q46336;locus_tag=AG-313-A11_00259;product=Sarcosine oxidase subunit delta -AG-313-A11_6 Prodigal:2.6 CDS 16822 19827 . + 0 ID=AG-313-A11_00260;eC_number=1.5.3.1;Name=soxA;gene=soxA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q46337;locus_tag=AG-313-A11_00260;product=Sarcosine oxidase subunit alpha -AG-313-A11_6 Prodigal:2.6 CDS 19820 20383 . + 0 ID=AG-313-A11_00261;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00261;product=hypothetical protein -AG-313-A11_6 Prodigal:2.6 CDS 20418 21185 . + 0 ID=AG-313-A11_00262;Name=pheC;gene=pheC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q01269;locus_tag=AG-313-A11_00262;product=Cyclohexadienyl dehydratase -AG-313-A11_6 Prodigal:2.6 CDS 21226 21957 . + 0 ID=AG-313-A11_00263;Name=artQ;gene=artQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54536;locus_tag=AG-313-A11_00263;product=Arginine transport system permease protein ArtQ -AG-313-A11_6 Prodigal:2.6 CDS 21954 22433 . - 0 ID=AG-313-A11_00264;eC_number=3.1.31.1;Name=nucH;gene=nucH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P43270;locus_tag=AG-313-A11_00264;product=Thermonuclease -AG-313-A11_6 Prodigal:2.6 CDS 22396 23766 . - 0 ID=AG-313-A11_00265;Name=mepA;gene=mepA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A7N0;locus_tag=AG-313-A11_00265;product=Multidrug export protein MepA -AG-313-A11_6 Prodigal:2.6 CDS 23775 24683 . - 0 ID=AG-313-A11_00266;eC_number=2.8.1.1;Name=glpE;gene=glpE;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01009;locus_tag=AG-313-A11_00266;product=Thiosulfate sulfurtransferase GlpE -AG-313-A11_6 Prodigal:2.6 CDS 24683 25333 . - 0 ID=AG-313-A11_00267;eC_number=2.1.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WJZ7;locus_tag=AG-313-A11_00267;product=Putative O-methyltransferase -AG-313-A11_6 Prodigal:2.6 CDS 25335 26813 . - 0 ID=AG-313-A11_00268;eC_number=6.3.5.-;Name=gatB;gene=gatB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVT7;locus_tag=AG-313-A11_00268;product=Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B -AG-313-A11_6 Prodigal:2.6 CDS 26810 28267 . - 0 ID=AG-313-A11_00269;eC_number=6.3.5.7;Name=gatA;gene=gatA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HVT8;locus_tag=AG-313-A11_00269;product=Glutamyl-tRNA(Gln) amidotransferase subunit A -AG-313-A11_6 Prodigal:2.6 CDS 28267 28554 . - 0 ID=AG-313-A11_00270;eC_number=6.3.5.-;Name=gatC;gene=gatC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67904;locus_tag=AG-313-A11_00270;product=Glutamyl-tRNA(Gln) amidotransferase subunit C -AG-313-A11_6 Prodigal:2.6 CDS 28605 29060 . + 0 ID=AG-313-A11_00271;eC_number=3.1.-.-;Name=yrrK;gene=yrrK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O34634;locus_tag=AG-313-A11_00271;product=Putative pre-16S rRNA nuclease -AG-313-A11_6 Prodigal:2.6 CDS 29103 30044 . + 0 ID=AG-313-A11_00272;eC_number=2.1.3.2;Name=pyrB;gene=pyrB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P56585;locus_tag=AG-313-A11_00272;product=Aspartate carbamoyltransferase -AG-313-A11_6 Prodigal:2.6 CDS 30045 31331 . + 0 ID=AG-313-A11_00273;eC_number=3.5.2.3;Name=pyrC;gene=pyrC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66990;locus_tag=AG-313-A11_00273;product=Dihydroorotase -AG-313-A11_7 Prodigal:2.6 CDS 882 1286 . - 0 ID=AG-313-A11_00274;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00274;product=hypothetical protein -AG-313-A11_7 Prodigal:2.6 CDS 1287 2036 . - 0 ID=AG-313-A11_00275;Name=yfaY;gene=yfaY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77808;locus_tag=AG-313-A11_00275;product=NMN amidohydrolase-like protein YfaY -AG-313-A11_7 Prodigal:2.6 CDS 2058 2756 . + 0 ID=AG-313-A11_00276;Name=sfsA;gene=sfsA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A823;locus_tag=AG-313-A11_00276;product=Sugar fermentation stimulation protein A -AG-313-A11_7 Prodigal:2.6 CDS 2749 3522 . + 0 ID=AG-313-A11_00277;eC_number=3.4.11.18;Name=map;gene=map;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9ZCD3;locus_tag=AG-313-A11_00277;product=Methionine aminopeptidase -AG-313-A11_7 Prodigal:2.6 CDS 3526 4818 . + 0 ID=AG-313-A11_00278;eC_number=4.3.2.2;Name=purB;gene=purB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X0I0;locus_tag=AG-313-A11_00278;product=Adenylosuccinate lyase -AG-313-A11_7 Prodigal:2.6 CDS 4818 5228 . + 0 ID=AG-313-A11_00279;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00279;product=hypothetical protein -AG-313-A11_7 Prodigal:2.6 CDS 5228 6013 . + 0 ID=AG-313-A11_00280;eC_number=6.3.2.6;Name=purC;gene=purC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2GHH2;locus_tag=AG-313-A11_00280;product=Phosphoribosylaminoimidazole-succinocarboxamide synthase -AG-313-A11_7 Prodigal:2.6 CDS 6010 6252 . + 0 ID=AG-313-A11_00281;eC_number=6.3.5.3;Name=purS;gene=purS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12049;locus_tag=AG-313-A11_00281;product=Phosphoribosylformylglycinamidine synthase subunit PurS -AG-313-A11_7 Prodigal:2.6 CDS 6256 6939 . + 0 ID=AG-313-A11_00282;eC_number=6.3.5.3;Name=purQ;gene=purQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12041;locus_tag=AG-313-A11_00282;product=Phosphoribosylformylglycinamidine synthase subunit PurQ -AG-313-A11_7 Prodigal:2.6 CDS 6939 9131 . + 0 ID=AG-313-A11_00283;eC_number=6.3.5.3;Name=purL;gene=purL;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12042;locus_tag=AG-313-A11_00283;product=Phosphoribosylformylglycinamidine synthase subunit PurL -AG-313-A11_7 Prodigal:2.6 CDS 9131 9361 . + 0 ID=AG-313-A11_00284;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00284;product=hypothetical protein -AG-313-A11_7 Prodigal:2.6 CDS 9361 9696 . + 0 ID=AG-313-A11_00285;Name=grxD;gene=grxD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC69;locus_tag=AG-313-A11_00285;product=Glutaredoxin-4 -AG-313-A11_7 Prodigal:2.6 CDS 9696 9959 . + 0 ID=AG-313-A11_00286;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00286;product=hypothetical protein -AG-313-A11_7 Prodigal:2.6 CDS 9961 11544 . - 0 ID=AG-313-A11_00287;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00287;product=hypothetical protein -AG-313-A11_7 Prodigal:2.6 CDS 11541 12224 . - 0 ID=AG-313-A11_00288;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00288;product=hypothetical protein -AG-313-A11_7 Prodigal:2.6 CDS 12230 12847 . - 0 ID=AG-313-A11_00289;Name=rpsD;gene=rpsD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N9G0;locus_tag=AG-313-A11_00289;product=30S ribosomal protein S4 -AG-313-A11_7 Prodigal:2.6 CDS 12888 13601 . - 0 ID=AG-313-A11_00290;eC_number=2.1.1.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44676;locus_tag=AG-313-A11_00290;product=putative tRNA/rRNA methyltransferase -AG-313-A11_7 Prodigal:2.6 CDS 13603 14469 . - 0 ID=AG-313-A11_00291;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00291;product=hypothetical protein -AG-313-A11_7 Prodigal:2.6 CDS 14469 16070 . - 0 ID=AG-313-A11_00292;eC_number=2.3.1.182;Name=cimA;gene=cimA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q74C76;locus_tag=AG-313-A11_00292;product=(R)-citramalate synthase -AG-313-A11_7 Prodigal:2.6 CDS 16067 17410 . - 0 ID=AG-313-A11_00293;eC_number=6.1.1.16;Name=cysS;gene=cysS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q06752;locus_tag=AG-313-A11_00293;product=Cysteine--tRNA ligase -AG-313-A11_7 Prodigal:2.6 CDS 17462 18199 . - 0 ID=AG-313-A11_00294;eC_number=6.3.1.5;Name=nadE;gene=nadE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9PPB0;locus_tag=AG-313-A11_00294;product=NH(3)-dependent NAD(+) synthetase -AG-313-A11_7 Prodigal:2.6 CDS 18238 19617 . - 0 ID=AG-313-A11_00295;eC_number=2.5.1.54;Name=aroH;gene=aroH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P80574;locus_tag=AG-313-A11_00295;product=Phospho-2-dehydro-3-deoxyheptonate aldolase -AG-313-A11_7 Prodigal:2.6 CDS 19653 21473 . - 0 ID=AG-313-A11_00296;eC_number=2.6.1.16;Name=glmS;gene=glmS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5NHQ9;locus_tag=AG-313-A11_00296;product=Glutamine--fructose-6-phosphate aminotransferase [isomerizing] -AG-313-A11_7 Prodigal:2.6 CDS 21473 22099 . - 0 ID=AG-313-A11_00297;Name=glmU;gene=glmU;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:A4TSJ5;locus_tag=AG-313-A11_00297;product=Bifunctional protein GlmU -AG-313-A11_7 Prodigal:2.6 CDS 22171 22854 . + 0 ID=AG-313-A11_00298;eC_number=3.1.3.18;Name=cbbZC;gene=cbbZC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P40852;locus_tag=AG-313-A11_00298;product=Phosphoglycolate phosphatase%2C chromosomal -AG-313-A11_7 Prodigal:2.6 CDS 22909 24411 . + 0 ID=AG-313-A11_00299;eC_number=4.2.1.79;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:H8F0D6;locus_tag=AG-313-A11_00299;product=2-methylcitrate dehydratase -AG-313-A11_7 Prodigal:2.6 CDS 24411 25307 . + 0 ID=AG-313-A11_00300;eC_number=4.1.3.30;Name=prpB;gene=prpB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q937P0;locus_tag=AG-313-A11_00300;product=2-methylisocitrate lyase -AG-313-A11_7 Prodigal:2.6 CDS 25307 26431 . + 0 ID=AG-313-A11_00301;eC_number=2.3.3.5;Name=prpC;gene=prpC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:I6Y9Q3;locus_tag=AG-313-A11_00301;product=2-methylcitrate synthase -AG-313-A11_7 Prodigal:2.6 CDS 26433 27062 . - 0 ID=AG-313-A11_00302;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00302;product=hypothetical protein -AG-313-A11_7 Prodigal:2.6 CDS 27059 27769 . - 0 ID=AG-313-A11_00303;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00303;product=hypothetical protein -AG-313-A11_7 Prodigal:2.6 CDS 27776 28792 . - 0 ID=AG-313-A11_00304;eC_number=1.17.4.1;Name=nrdB;gene=nrdB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O84835;locus_tag=AG-313-A11_00304;product=Ribonucleoside-diphosphate reductase subunit beta -AG-313-A11_8 Prodigal:2.6 CDS 1 1071 . - 0 ID=AG-313-A11_00305;Name=prfA;gene=prfA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7I0;locus_tag=AG-313-A11_00305;product=Peptide chain release factor 1 -AG-313-A11_8 Prodigal:2.6 CDS 1074 2171 . - 0 ID=AG-313-A11_00306;eC_number=1.17.7.3;Name=ispG;gene=ispG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P62620;locus_tag=AG-313-A11_00306;product=4-hydroxy-3-methylbut-2-en-1-yl diphosphate synthase (flavodoxin) -AG-313-A11_8 Prodigal:2.6 CDS 2173 3387 . - 0 ID=AG-313-A11_00307;eC_number=2.7.2.4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q88EI9;locus_tag=AG-313-A11_00307;product=Aspartate kinase -AG-313-A11_8 Prodigal:2.6 CDS 3457 4185 . + 0 ID=AG-313-A11_00308;eC_number=2.1.1.222;Name=ubiG;gene=ubiG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P17993;locus_tag=AG-313-A11_00308;product=Ubiquinone biosynthesis O-methyltransferase -AG-313-A11_8 Prodigal:2.6 CDS 4182 4610 . - 0 ID=AG-313-A11_00309;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00309;product=hypothetical protein -AG-313-A11_8 Prodigal:2.6 CDS 4658 5959 . - 0 ID=AG-313-A11_00310;eC_number=2.3.1.35;Name=oat2;gene=oat2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0DJQ5;locus_tag=AG-313-A11_00310;product=Glutamate N-acetyltransferase 2 -AG-313-A11_8 Prodigal:2.6 CDS 6026 8572 . + 0 ID=AG-313-A11_00311;Name=secA;gene=secA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01382;locus_tag=AG-313-A11_00311;product=Protein translocase subunit SecA -AG-313-A11_8 Prodigal:2.6 CDS 8567 9667 . - 0 ID=AG-313-A11_00312;eC_number=6.4.1.2;Name=accA;gene=accA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABD5;locus_tag=AG-313-A11_00312;product=Acetyl-coenzyme A carboxylase carboxyl transferase subunit alpha -AG-313-A11_8 Prodigal:2.6 CDS 9734 11917 . + 0 ID=AG-313-A11_00313;eC_number=2.3.3.9;Name=glcB;gene=glcB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:B8ZSN3;locus_tag=AG-313-A11_00313;product=Malate synthase G -AG-313-A11_8 Prodigal:2.6 CDS 11921 12520 . - 0 ID=AG-313-A11_00314;Name=recR;gene=recR;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8RDI4;locus_tag=AG-313-A11_00314;product=Recombination protein RecR -AG-313-A11_8 Prodigal:2.6 CDS 12529 12846 . - 0 ID=AG-313-A11_00315;Name=ybaB;gene=ybaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8B5;locus_tag=AG-313-A11_00315;product=Nucleoid-associated protein YbaB -AG-313-A11_8 Prodigal:2.6 CDS 12847 14508 . - 0 ID=AG-313-A11_00316;eC_number=2.7.7.7;Name=dnaX;gene=dnaX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06710;locus_tag=AG-313-A11_00316;product=DNA polymerase III subunit tau -AG-313-A11_8 Prodigal:2.6 CDS 14656 15489 . - 0 ID=AG-313-A11_00317;Name=pheA;gene=pheA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9J8;locus_tag=AG-313-A11_00317;product=P-protein -AG-313-A11_8 Prodigal:2.6 CDS 15486 16217 . - 0 ID=AG-313-A11_00318;eC_number=2.7.7.38;Name=kdsB;gene=kdsB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04951;locus_tag=AG-313-A11_00318;product=3-deoxy-manno-octulosonate cytidylyltransferase -AG-313-A11_8 Prodigal:2.6 CDS 16325 16864 . + 0 ID=AG-313-A11_00319;Name=cycM;gene=cycM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P54820;locus_tag=AG-313-A11_00319;product=Cytochrome c-552 -AG-313-A11_8 Prodigal:2.6 CDS 16856 17785 . - 0 ID=AG-313-A11_00320;eC_number=2.1.3.3;Name=argF;gene=argF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P11724;locus_tag=AG-313-A11_00320;product=Ornithine carbamoyltransferase -AG-313-A11_8 Prodigal:2.6 CDS 17782 18951 . - 0 ID=AG-313-A11_00321;eC_number=2.6.1.11;Name=argD;gene=argD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66442;locus_tag=AG-313-A11_00321;product=Acetylornithine aminotransferase -AG-313-A11_8 Prodigal:2.6 CDS 19124 19618 . + 0 ID=AG-313-A11_00322;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00322;product=hypothetical protein -AG-313-A11_8 Prodigal:2.6 CDS 19638 20600 . - 0 ID=AG-313-A11_00323;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00323;product=hypothetical protein -AG-313-A11_8 Prodigal:2.6 CDS 20618 21229 . + 0 ID=AG-313-A11_00324;eC_number=3.1.13.5;Name=rnd;gene=rnd;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01899;locus_tag=AG-313-A11_00324;product=Ribonuclease D -AG-313-A11_8 Prodigal:2.6 CDS 21232 22197 . + 0 ID=AG-313-A11_00325;eC_number=5.3.1.13;Name=kdsD;gene=kdsD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45395;locus_tag=AG-313-A11_00325;product=Arabinose 5-phosphate isomerase KdsD -AG-313-A11_8 Prodigal:2.6 CDS 22205 22780 . + 0 ID=AG-313-A11_00326;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00326;product=hypothetical protein -AG-313-A11_8 Prodigal:2.6 CDS 22791 23567 . + 0 ID=AG-313-A11_00327;eC_number=3.6.3.-;Name=lptB_1;gene=lptB_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45073;locus_tag=AG-313-A11_00327;product=Lipopolysaccharide export system ATP-binding protein LptB -AG-313-A11_8 Prodigal:2.6 CDS 23580 24905 . + 0 ID=AG-313-A11_00328;eC_number=2.5.1.19;Name=aroA;gene=aroA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A2Y4;locus_tag=AG-313-A11_00328;product=3-phosphoshikimate 1-carboxyvinyltransferase -AG-313-A11_9 Prodigal:2.6 CDS 33 515 . + 0 ID=AG-313-A11_00329;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00329;product=hypothetical protein -AG-313-A11_9 Prodigal:2.6 CDS 508 1002 . - 0 ID=AG-313-A11_00330;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00330;product=hypothetical protein -AG-313-A11_9 Prodigal:2.6 CDS 1014 1577 . + 0 ID=AG-313-A11_00331;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00331;product=hypothetical protein -AG-313-A11_9 Prodigal:2.6 CDS 1677 2606 . - 0 ID=AG-313-A11_00332;eC_number=2.7.1.92;Name=iolC;gene=iolC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KAG8;locus_tag=AG-313-A11_00332;product=5-dehydro-2-deoxygluconokinase -AG-313-A11_9 Prodigal:2.6 CDS 2608 3261 . - 0 ID=AG-313-A11_00333;eC_number=4.2.99.18;Name=nth;gene=nth;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AB83;locus_tag=AG-313-A11_00333;product=Endonuclease III -AG-313-A11_9 Prodigal:2.6 CDS 3261 4037 . - 0 ID=AG-313-A11_00334;eC_number=1.17.1.8;Name=dapB;gene=dapB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6G2G3;locus_tag=AG-313-A11_00334;product=4-hydroxy-tetrahydrodipicolinate reductase -AG-313-A11_9 Prodigal:2.6 CDS 4034 4204 . - 0 ID=AG-313-A11_00335;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00335;product=hypothetical protein -AG-313-A11_9 Prodigal:2.6 CDS 4208 5341 . - 0 ID=AG-313-A11_00336;Name=dnaJ;gene=dnaJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6RSN5;locus_tag=AG-313-A11_00336;product=Chaperone protein DnaJ -AG-313-A11_9 Prodigal:2.6 CDS 5370 7295 . - 0 ID=AG-313-A11_00337;Name=dnaK;gene=dnaK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q05981;locus_tag=AG-313-A11_00337;product=Chaperone protein DnaK -AG-313-A11_9 Prodigal:2.6 CDS 7354 7992 . - 0 ID=AG-313-A11_00338;Name=grpE;gene=grpE;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01151;locus_tag=AG-313-A11_00338;product=Protein GrpE -AG-313-A11_9 Prodigal:2.6 CDS 8029 8631 . + 0 ID=AG-313-A11_00339;eC_number=3.6.1.19;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44598;locus_tag=AG-313-A11_00339;product=Non-canonical purine NTP pyrophosphatase -AG-313-A11_9 Prodigal:2.6 CDS 8615 8920 . - 0 ID=AG-313-A11_00340;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00340;product=hypothetical protein -AG-313-A11_9 Prodigal:2.6 CDS 8920 9768 . - 0 ID=AG-313-A11_00341;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00341;product=hypothetical protein -AG-313-A11_9 Prodigal:2.6 CDS 9801 10661 . + 0 ID=AG-313-A11_00342;eC_number=2.1.1.198;Name=rsmI;gene=rsmI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P67087;locus_tag=AG-313-A11_00342;product=Ribosomal RNA small subunit methyltransferase I -AG-313-A11_9 Prodigal:2.6 CDS 10651 11244 . + 0 ID=AG-313-A11_00343;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00343;product=hypothetical protein -AG-313-A11_9 Prodigal:2.6 CDS 11241 13526 . - 0 ID=AG-313-A11_00344;eC_number=1.1.1.40;Name=tme;gene=tme;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O30808;locus_tag=AG-313-A11_00344;product=NADP-dependent malic enzyme -AG-313-A11_9 Prodigal:2.6 CDS 13577 15106 . + 0 ID=AG-313-A11_00345;Name=murJ;gene=murJ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37169;locus_tag=AG-313-A11_00345;product=Putative lipid II flippase MurJ -AG-313-A11_9 Prodigal:2.6 CDS 15109 16110 . + 0 ID=AG-313-A11_00346;eC_number=6.1.1.2;Name=trpS;gene=trpS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00953;locus_tag=AG-313-A11_00346;product=Tryptophan--tRNA ligase -AG-313-A11_9 Prodigal:2.6 CDS 16162 16704 . + 0 ID=AG-313-A11_00347;Name=nfuA;gene=nfuA;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01637;locus_tag=AG-313-A11_00347;product=Fe/S biogenesis protein NfuA -AG-313-A11_9 Prodigal:2.6 CDS 16704 17774 . + 0 ID=AG-313-A11_00348;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00348;product=hypothetical protein -AG-313-A11_9 Prodigal:2.6 CDS 17771 18646 . - 0 ID=AG-313-A11_00349;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00349;product=hypothetical protein -AG-313-A11_9 Prodigal:2.6 CDS 18780 19166 . + 0 ID=AG-313-A11_00350;Name=tsaB;gene=tsaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q87RD1;locus_tag=AG-313-A11_00350;product=tRNA threonylcarbamoyladenosine biosynthesis protein TsaB -AG-313-A11_9 Prodigal:2.6 CDS 19175 19606 . + 0 ID=AG-313-A11_00351;Name=fur;gene=fur;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9A9;locus_tag=AG-313-A11_00351;product=Ferric uptake regulation protein -AG-313-A11_9 Prodigal:2.6 CDS 19607 20932 . + 0 ID=AG-313-A11_00352;eC_number=2.8.4.3;Name=miaB;gene=miaB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9RCI2;locus_tag=AG-313-A11_00352;product=tRNA-2-methylthio-N(6)-dimethylallyladenosine synthase -AG-313-A11_9 Prodigal:2.6 CDS 20936 21931 . + 0 ID=AG-313-A11_00353;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIA3;locus_tag=AG-313-A11_00353;product=PhoH-like protein -AG-313-A11_9 Prodigal:2.6 CDS 21924 22385 . + 0 ID=AG-313-A11_00354;eC_number=3.1.-.-;Name=ybeY;gene=ybeY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O67367;locus_tag=AG-313-A11_00354;product=Endoribonuclease YbeY -AG-313-A11_9 Prodigal:2.6 CDS 22392 23936 . + 0 ID=AG-313-A11_00355;eC_number=2.3.1.-;Name=lnt;gene=lnt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23930;locus_tag=AG-313-A11_00355;product=Apolipoprotein N-acyltransferase -AG-313-A11_9 Prodigal:2.6 CDS 23929 25098 . + 0 ID=AG-313-A11_00356;eC_number=2.5.1.6;Name=metK;gene=metK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A817;locus_tag=AG-313-A11_00356;product=S-adenosylmethionine synthase -AG-313-A11_10 Aragorn:1.2 tRNA 154 230 . + . ID=AG-313-A11_00357;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A11_00357;product=tRNA-Pro(tgg) -AG-313-A11_10 Prodigal:2.6 CDS 239 520 . + 0 ID=AG-313-A11_00358;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00358;product=hypothetical protein -AG-313-A11_10 Prodigal:2.6 CDS 530 1519 . + 0 ID=AG-313-A11_00359;Name=sbmA;gene=sbmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFY6;locus_tag=AG-313-A11_00359;product=Peptide antibiotic transporter SbmA -AG-313-A11_10 Prodigal:2.6 CDS 1523 2464 . + 0 ID=AG-313-A11_00360;eC_number=3.1.3.11;Name=glpX;gene=glpX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q03224;locus_tag=AG-313-A11_00360;product=Fructose-1%2C6-bisphosphatase class 2 -AG-313-A11_10 Aragorn:1.2 tRNA 2511 2585 . + . ID=AG-313-A11_00361;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A11_00361;product=tRNA-Glu(ttc) -AG-313-A11_10 Prodigal:2.6 CDS 2593 2844 . + 0 ID=AG-313-A11_00362;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00362;product=hypothetical protein -AG-313-A11_10 Prodigal:2.6 CDS 2844 4943 . + 0 ID=AG-313-A11_00363;eC_number=2.4.-.-;Name=cotSA;gene=cotSA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P46915;locus_tag=AG-313-A11_00363;product=Spore coat protein SA -AG-313-A11_10 Prodigal:2.6 CDS 4927 5685 . + 0 ID=AG-313-A11_00364;Name=arnA;gene=arnA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q93PD8;locus_tag=AG-313-A11_00364;product=Bifunctional polymyxin resistance protein ArnA -AG-313-A11_10 Prodigal:2.6 CDS 5688 6608 . + 0 ID=AG-313-A11_00365;eC_number=1.1.99.28;Name=gfo;gene=gfo;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q07982;locus_tag=AG-313-A11_00365;product=Glucose--fructose oxidoreductase -AG-313-A11_10 Prodigal:2.6 CDS 6610 7713 . + 0 ID=AG-313-A11_00366;eC_number=2.6.1.90;Name=fdtB;gene=fdtB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6T1W6;locus_tag=AG-313-A11_00366;product=dTDP-3-amino-3%2C6-dideoxy-alpha-D-galactopyranose transaminase -AG-313-A11_10 Prodigal:2.6 CDS 7713 8615 . + 0 ID=AG-313-A11_00367;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00367;product=hypothetical protein -AG-313-A11_10 Prodigal:2.6 CDS 8632 9483 . + 0 ID=AG-313-A11_00368;Name=ribN;gene=ribN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1MIM3;locus_tag=AG-313-A11_00368;product=Riboflavin transporter -AG-313-A11_10 Prodigal:2.6 CDS 9945 10214 . - 0 ID=AG-313-A11_00369;Name=ada;gene=ada;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P06134;locus_tag=AG-313-A11_00369;product=Bifunctional transcriptional activator/DNA repair enzyme Ada -AG-313-A11_10 Prodigal:2.6 CDS 10221 10397 . - 0 ID=AG-313-A11_00370;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00370;product=hypothetical protein -AG-313-A11_10 Prodigal:2.6 CDS 10479 11432 . + 0 ID=AG-313-A11_00371;Name=xerD;gene=xerD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O31206;locus_tag=AG-313-A11_00371;product=Tyrosine recombinase XerD -AG-313-A11_10 Prodigal:2.6 CDS 11429 12361 . - 0 ID=AG-313-A11_00372;eC_number=2.4.1.308;Name=wbnK;gene=wbnK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q58YV9;locus_tag=AG-313-A11_00372;product=O-antigen biosynthesis glycosyltransferase WbnK -AG-313-A11_10 Prodigal:2.6 CDS 12358 13224 . - 0 ID=AG-313-A11_00373;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00373;product=hypothetical protein -AG-313-A11_10 Prodigal:2.6 CDS 13224 14516 . - 0 ID=AG-313-A11_00374;eC_number=1.1.1.3;Name=hom;gene=hom;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19582;locus_tag=AG-313-A11_00374;product=Homoserine dehydrogenase -AG-313-A11_10 Prodigal:2.6 CDS 14509 14691 . - 0 ID=AG-313-A11_00375;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00375;product=hypothetical protein -AG-313-A11_10 Prodigal:2.6 CDS 14688 15710 . - 0 ID=AG-313-A11_00376;eC_number=1.2.1.38;Name=argC;gene=argC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X2A2;locus_tag=AG-313-A11_00376;product=N-acetyl-gamma-glutamyl-phosphate reductase -AG-313-A11_10 Prodigal:2.6 CDS 15744 16181 . - 0 ID=AG-313-A11_00377;Name=rpsI;gene=rpsI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N650;locus_tag=AG-313-A11_00377;product=30S ribosomal protein S9 -AG-313-A11_10 Prodigal:2.6 CDS 16185 16643 . - 0 ID=AG-313-A11_00378;Name=rplM;gene=rplM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P70974;locus_tag=AG-313-A11_00378;product=50S ribosomal protein L13 -AG-313-A11_10 Prodigal:2.6 CDS 16849 18177 . + 0 ID=AG-313-A11_00379;eC_number=4.4.1.11;Name=mdeA;gene=mdeA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P13254;locus_tag=AG-313-A11_00379;product=Methionine gamma-lyase -AG-313-A11_10 Prodigal:2.6 CDS 18170 19186 . - 0 ID=AG-313-A11_00380;eC_number=1.3.-.-;Name=ctaA;gene=ctaA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3IXW9;locus_tag=AG-313-A11_00380;product=Heme A synthase -AG-313-A11_10 Prodigal:2.6 CDS 19230 19520 . + 0 ID=AG-313-A11_00381;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00381;product=hypothetical protein -AG-313-A11_10 Prodigal:2.6 CDS 19521 19712 . - 0 ID=AG-313-A11_00382;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00382;product=hypothetical protein -AG-313-A11_10 Prodigal:2.6 CDS 19714 20082 . - 0 ID=AG-313-A11_00383;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00383;product=hypothetical protein -AG-313-A11_10 Prodigal:2.6 CDS 20075 20374 . - 0 ID=AG-313-A11_00384;Name=ihfA;gene=ihfA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P30787;locus_tag=AG-313-A11_00384;product=Integration host factor subunit alpha -AG-313-A11_10 Prodigal:2.6 CDS 20378 21379 . - 0 ID=AG-313-A11_00385;eC_number=2.3.1.-;Name=plsX;gene=plsX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P27247;locus_tag=AG-313-A11_00385;product=Phosphate acyltransferase -AG-313-A11_10 Prodigal:2.6 CDS 21398 21580 . - 0 ID=AG-313-A11_00386;Name=rpmF;gene=rpmF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NCE6;locus_tag=AG-313-A11_00386;product=50S ribosomal protein L32 -AG-313-A11_10 Prodigal:2.6 CDS 22049 22513 . + 0 ID=AG-313-A11_00387;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00387;product=hypothetical protein -AG-313-A11_11 Prodigal:2.6 CDS 336 1139 . - 0 ID=AG-313-A11_00388;Name=znuB;gene=znuB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39832;locus_tag=AG-313-A11_00388;product=High-affinity zinc uptake system membrane protein ZnuB -AG-313-A11_11 Prodigal:2.6 CDS 1140 1886 . - 0 ID=AG-313-A11_00389;eC_number=3.6.3.-;Name=znuC;gene=znuC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9X1;locus_tag=AG-313-A11_00389;product=Zinc import ATP-binding protein ZnuC -AG-313-A11_11 Prodigal:2.6 CDS 1906 3009 . + 0 ID=AG-313-A11_00390;Name=znuA;gene=znuA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39172;locus_tag=AG-313-A11_00390;product=High-affinity zinc uptake system protein ZnuA -AG-313-A11_11 Prodigal:2.6 CDS 3052 4050 . + 0 ID=AG-313-A11_00391;eC_number=1.5.1.21;Name=dpkA;gene=dpkA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q4U331;locus_tag=AG-313-A11_00391;product=Delta(1)-pyrroline-2-carboxylate/Delta(1)-piperideine-2-carboxylate reductase -AG-313-A11_11 Prodigal:2.6 CDS 4042 4818 . - 0 ID=AG-313-A11_00392;eC_number=3.1.11.2;Name=xthA;gene=xthA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P09030;locus_tag=AG-313-A11_00392;product=Exodeoxyribonuclease III -AG-313-A11_11 Prodigal:2.6 CDS 4818 5135 . - 0 ID=AG-313-A11_00393;Name=erpA;gene=erpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ACC3;locus_tag=AG-313-A11_00393;product=Iron-sulfur cluster insertion protein ErpA -AG-313-A11_11 Prodigal:2.6 CDS 5186 6304 . + 0 ID=AG-313-A11_00394;Name=dgt;gene=dgt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WNY7;locus_tag=AG-313-A11_00394;product=Deoxyguanosinetriphosphate triphosphohydrolase-like protein -AG-313-A11_11 Prodigal:2.6 CDS 6301 8034 . + 0 ID=AG-313-A11_00395;eC_number=6.1.1.19;Name=argS;gene=argS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q99W05;locus_tag=AG-313-A11_00395;product=Arginine--tRNA ligase -AG-313-A11_11 Prodigal:2.6 CDS 8034 8297 . + 0 ID=AG-313-A11_00396;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00396;product=hypothetical protein -AG-313-A11_11 Prodigal:2.6 CDS 8287 9237 . + 0 ID=AG-313-A11_00397;eC_number=3.2.1.52;Name=nagZ;gene=nagZ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZQ06;locus_tag=AG-313-A11_00397;product=Beta-hexosaminidase -AG-313-A11_11 Prodigal:2.6 CDS 9247 9987 . + 0 ID=AG-313-A11_00398;Name=scpA;gene=scpA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q97NX5;locus_tag=AG-313-A11_00398;product=Segregation and condensation protein A -AG-313-A11_11 Prodigal:2.6 CDS 9984 10685 . + 0 ID=AG-313-A11_00399;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83CP9;locus_tag=AG-313-A11_00399;note=Segregation and condensation protein B homolog;product=hypothetical protein -AG-313-A11_11 Prodigal:2.6 CDS 10754 10954 . + 0 ID=AG-313-A11_00400;Name=tatA;gene=tatA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69428;locus_tag=AG-313-A11_00400;product=Sec-independent protein translocase protein TatA -AG-313-A11_11 Prodigal:2.6 CDS 10960 11172 . + 0 ID=AG-313-A11_00401;Name=tatB;gene=tatB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69425;locus_tag=AG-313-A11_00401;product=Sec-independent protein translocase protein TatB -AG-313-A11_11 Prodigal:2.6 CDS 11162 11932 . + 0 ID=AG-313-A11_00402;Name=tatC;gene=tatC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69423;locus_tag=AG-313-A11_00402;product=Sec-independent protein translocase protein TatC -AG-313-A11_11 Prodigal:2.6 CDS 11925 13184 . + 0 ID=AG-313-A11_00403;eC_number=6.1.1.11;Name=serS;gene=serS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A8L1;locus_tag=AG-313-A11_00403;product=Serine--tRNA ligase -AG-313-A11_11 Prodigal:2.6 CDS 13239 13526 . + 0 ID=AG-313-A11_00404;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00404;product=hypothetical protein -AG-313-A11_11 Prodigal:2.6 CDS 13543 15096 . + 0 ID=AG-313-A11_00405;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00405;product=hypothetical protein -AG-313-A11_11 Prodigal:2.6 CDS 15097 15984 . + 0 ID=AG-313-A11_00406;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00406;product=hypothetical protein -AG-313-A11_11 Prodigal:2.6 CDS 15981 16583 . - 0 ID=AG-313-A11_00407;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00407;product=hypothetical protein -AG-313-A11_11 Prodigal:2.6 CDS 16635 19487 . - 0 ID=AG-313-A11_00408;Name=uvrA;gene=uvrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A698;locus_tag=AG-313-A11_00408;product=UvrABC system protein A -AG-313-A11_11 Prodigal:2.6 CDS 19480 20379 . - 0 ID=AG-313-A11_00409;eC_number=2.4.2.29;Name=tgt;gene=tgt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P28720;locus_tag=AG-313-A11_00409;product=Queuine tRNA-ribosyltransferase -AG-313-A11_11 Prodigal:2.6 CDS 20388 20948 . - 0 ID=AG-313-A11_00410;eC_number=5.2.1.8;Name=ppiA;gene=ppiA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFL3;locus_tag=AG-313-A11_00410;product=Peptidyl-prolyl cis-trans isomerase A -AG-313-A11_11 Prodigal:2.6 CDS 20941 21435 . - 0 ID=AG-313-A11_00411;eC_number=2.7.7.3;Name=coaD;gene=coaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83EM7;locus_tag=AG-313-A11_00411;product=Phosphopantetheine adenylyltransferase -AG-313-A11_11 Prodigal:2.6 CDS 21435 22139 . - 0 ID=AG-313-A11_00412;eC_number=5.99.1.3;Name=gyrA;gene=gyrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q99XG5;locus_tag=AG-313-A11_00412;product=DNA gyrase subunit A -AG-313-A11_11 Prodigal:2.6 CDS 22177 22305 . + 0 ID=AG-313-A11_00413;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00413;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 63 404 . + 0 ID=AG-313-A11_00414;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00414;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 396 650 . - 0 ID=AG-313-A11_00415;Name=grxC;gene=grxC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC62;locus_tag=AG-313-A11_00415;product=Glutaredoxin-3 -AG-313-A11_12 Prodigal:2.6 CDS 654 950 . - 0 ID=AG-313-A11_00416;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00416;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 1435 2106 . + 0 ID=AG-313-A11_00417;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00417;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 2192 2959 . + 0 ID=AG-313-A11_00418;eC_number=1.5.1.2;Name=proC;gene=proC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P22008;locus_tag=AG-313-A11_00418;product=Pyrroline-5-carboxylate reductase -AG-313-A11_12 Prodigal:2.6 CDS 2963 3748 . + 0 ID=AG-313-A11_00419;eC_number=3.6.3.-;Name=lptB_2;gene=lptB_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P45073;locus_tag=AG-313-A11_00419;product=Lipopolysaccharide export system ATP-binding protein LptB -AG-313-A11_12 Prodigal:2.6 CDS 3751 4458 . + 0 ID=AG-313-A11_00420;Name=livF;gene=livF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P22731;locus_tag=AG-313-A11_00420;product=High-affinity branched-chain amino acid transport ATP-binding protein LivF -AG-313-A11_12 Prodigal:2.6 CDS 4460 5470 . + 0 ID=AG-313-A11_00421;Name=livH;gene=livH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AEX7;locus_tag=AG-313-A11_00421;product=High-affinity branched-chain amino acid transport system permease protein LivH -AG-313-A11_12 Prodigal:2.6 CDS 5467 6837 . + 0 ID=AG-313-A11_00422;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00422;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 6953 7714 . + 0 ID=AG-313-A11_00423;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00423;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 7767 8954 . - 0 ID=AG-313-A11_00424;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8YEE8;locus_tag=AG-313-A11_00424;note=Leu/Ile/Val-binding protein homolog 3;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 9028 9849 . - 0 ID=AG-313-A11_00425;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00425;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 9897 10508 . - 0 ID=AG-313-A11_00426;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00426;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 10631 11593 . + 0 ID=AG-313-A11_00427;Name=siaP;gene=siaP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44542;locus_tag=AG-313-A11_00427;product=Sialic acid-binding periplasmic protein SiaP -AG-313-A11_12 Prodigal:2.6 CDS 11644 12132 . + 0 ID=AG-313-A11_00428;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00428;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 12125 13435 . + 0 ID=AG-313-A11_00429;Name=siaT_3;gene=siaT_3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44543;locus_tag=AG-313-A11_00429;product=Sialic acid TRAP transporter permease protein SiaT -AG-313-A11_12 Prodigal:2.6 CDS 13432 13968 . - 0 ID=AG-313-A11_00430;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00430;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 13974 14468 . - 0 ID=AG-313-A11_00431;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00431;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 14465 15265 . - 0 ID=AG-313-A11_00432;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00432;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 15269 15943 . + 0 ID=AG-313-A11_00433;Name=kipI;gene=kipI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60495;locus_tag=AG-313-A11_00433;product=Kinase A inhibitor -AG-313-A11_12 Prodigal:2.6 CDS 15936 16883 . + 0 ID=AG-313-A11_00434;Name=kipA;gene=kipA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7WY77;locus_tag=AG-313-A11_00434;product=KipI antagonist -AG-313-A11_12 Prodigal:2.6 CDS 16880 17758 . + 0 ID=AG-313-A11_00435;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00435;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 17758 18996 . + 0 ID=AG-313-A11_00436;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00436;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 18989 19747 . + 0 ID=AG-313-A11_00437;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00437;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 19747 20925 . + 0 ID=AG-313-A11_00438;eC_number=2.1.1.-;Name=ufaA1;gene=ufaA1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O53732;locus_tag=AG-313-A11_00438;product=Tuberculostearic acid methyltransferase UfaA1 -AG-313-A11_12 Prodigal:2.6 CDS 20940 21488 . + 0 ID=AG-313-A11_00439;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00439;product=hypothetical protein -AG-313-A11_12 Prodigal:2.6 CDS 21485 21823 . - 0 ID=AG-313-A11_00440;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00440;product=hypothetical protein -AG-313-A11_13 Prodigal:2.6 CDS 160 1197 . - 0 ID=AG-313-A11_00441;eC_number=6.3.4.18;Name=purK;gene=purK;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A695;locus_tag=AG-313-A11_00441;product=N5-carboxyaminoimidazole ribonucleotide synthase -AG-313-A11_13 Prodigal:2.6 CDS 1209 1700 . - 0 ID=AG-313-A11_00442;eC_number=5.4.99.18;Name=purE;gene=purE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AG18;locus_tag=AG-313-A11_00442;product=N5-carboxyaminoimidazole ribonucleotide mutase -AG-313-A11_13 Prodigal:2.6 CDS 1803 2768 . + 0 ID=AG-313-A11_00443;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00443;product=hypothetical protein -AG-313-A11_13 Prodigal:2.6 CDS 2771 4432 . + 0 ID=AG-313-A11_00444;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00444;product=hypothetical protein -AG-313-A11_13 Prodigal:2.6 CDS 4436 5047 . + 0 ID=AG-313-A11_00445;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00445;product=hypothetical protein -AG-313-A11_13 Prodigal:2.6 CDS 5198 5740 . - 0 ID=AG-313-A11_00446;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00446;product=hypothetical protein -AG-313-A11_13 Prodigal:2.6 CDS 5892 7250 . - 0 ID=AG-313-A11_00447;eC_number=2.1.1.269;Name=dmdA_1;gene=dmdA_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5LS57;locus_tag=AG-313-A11_00447;product=Dimethylsulfonioproprionate demethylase DmdA -AG-313-A11_13 Prodigal:2.6 CDS 7243 7971 . - 0 ID=AG-313-A11_00448;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00448;product=hypothetical protein -AG-313-A11_13 Prodigal:2.6 CDS 8050 9267 . + 0 ID=AG-313-A11_00449;eC_number=1.14.12.3;Name=bedC1;gene=bedC1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q07944;locus_tag=AG-313-A11_00449;product=Benzene 1%2C2-dioxygenase subunit alpha -AG-313-A11_13 Prodigal:2.6 CDS 9269 9676 . + 0 ID=AG-313-A11_00450;eC_number=2.7.1.25;Name=cysC;gene=cysC;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00065;locus_tag=AG-313-A11_00450;product=Adenylyl-sulfate kinase -AG-313-A11_13 Prodigal:2.6 CDS 9676 10050 . + 0 ID=AG-313-A11_00451;eC_number=2.7.7.1;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00243;locus_tag=AG-313-A11_00451;product=Nicotinamide-nucleotide adenylyltransferase -AG-313-A11_13 Prodigal:2.6 CDS 10061 10834 . + 0 ID=AG-313-A11_00452;eC_number=4.2.1.17;Name=paaF;gene=paaF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P76082;locus_tag=AG-313-A11_00452;product=2%2C3-dehydroadipyl-CoA hydratase -AG-313-A11_13 Prodigal:2.6 CDS 10831 11028 . + 0 ID=AG-313-A11_00453;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00453;product=hypothetical protein -AG-313-A11_13 Prodigal:2.6 CDS 11021 11455 . + 0 ID=AG-313-A11_00454;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00454;product=hypothetical protein -AG-313-A11_13 Prodigal:2.6 CDS 11457 12026 . + 0 ID=AG-313-A11_00455;eC_number=1.7.-.-;Name=azoR2;gene=azoR2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O32224;locus_tag=AG-313-A11_00455;product=FMN-dependent NADH-azoreductase 2 -AG-313-A11_13 Prodigal:2.6 CDS 11998 12471 . + 0 ID=AG-313-A11_00456;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00456;product=hypothetical protein -AG-313-A11_13 Prodigal:2.6 CDS 12528 14960 . + 0 ID=AG-313-A11_00457;eC_number=1.5.3.19;Name=abo_1;gene=abo_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAI3;locus_tag=AG-313-A11_00457;product=4-methylaminobutanoate oxidase (formaldehyde-forming) -AG-313-A11_13 Prodigal:2.6 CDS 14960 15709 . + 0 ID=AG-313-A11_00458;Name=etfB;gene=etfB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P38975;locus_tag=AG-313-A11_00458;product=Electron transfer flavoprotein subunit beta -AG-313-A11_13 Prodigal:2.6 CDS 15709 16662 . + 0 ID=AG-313-A11_00459;Name=etfA;gene=etfA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P38974;locus_tag=AG-313-A11_00459;product=Electron transfer flavoprotein subunit alpha -AG-313-A11_13 Prodigal:2.6 CDS 16687 18306 . + 0 ID=AG-313-A11_00460;eC_number=1.5.5.1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HZP5;locus_tag=AG-313-A11_00460;product=Electron transfer flavoprotein-ubiquinone oxidoreductase -AG-313-A11_13 Prodigal:2.6 CDS 18307 18708 . - 0 ID=AG-313-A11_00461;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00461;product=hypothetical protein -AG-313-A11_13 Prodigal:2.6 CDS 18677 19318 . - 0 ID=AG-313-A11_00462;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00462;product=hypothetical protein -AG-313-A11_13 Prodigal:2.6 CDS 19325 19792 . - 0 ID=AG-313-A11_00463;eC_number=3.5.4.19;Name=hisI;gene=hisI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WMM7;locus_tag=AG-313-A11_00463;product=Phosphoribosyl-AMP cyclohydrolase -AG-313-A11_13 Prodigal:2.6 CDS 19851 20483 . + 0 ID=AG-313-A11_00464;eC_number=3.5.4.16;Name=folE;gene=folE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P19465;locus_tag=AG-313-A11_00464;product=GTP cyclohydrolase 1 -AG-313-A11_13 Prodigal:2.6 CDS 20485 21489 . + 0 ID=AG-313-A11_00465;eC_number=1.3.1.84;Name=acuI_1;gene=acuI_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26646;locus_tag=AG-313-A11_00465;product=putative acrylyl-CoA reductase AcuI -AG-313-A11_14 Prodigal:2.6 CDS 6 1301 . + 0 ID=AG-313-A11_00466;eC_number=2.6.1.18;Name=bauA;gene=bauA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9I700;locus_tag=AG-313-A11_00466;product=Beta-alanine--pyruvate aminotransferase -AG-313-A11_14 Prodigal:2.6 CDS 1340 2458 . + 0 ID=AG-313-A11_00467;eC_number=1.4.1.1;Name=ald2;gene=ald2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q99TF4;locus_tag=AG-313-A11_00467;product=Alanine dehydrogenase 2 -AG-313-A11_14 Prodigal:2.6 CDS 2463 4907 . + 0 ID=AG-313-A11_00468;eC_number=1.5.3.19;Name=abo_2;gene=abo_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8GAI3;locus_tag=AG-313-A11_00468;product=4-methylaminobutanoate oxidase (formaldehyde-forming) -AG-313-A11_14 Prodigal:2.6 CDS 4908 5759 . - 0 ID=AG-313-A11_00469;Name=panS;gene=panS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8ZKL0;locus_tag=AG-313-A11_00469;product=Pantothenate precursors transporter PanS -AG-313-A11_14 Prodigal:2.6 CDS 5819 6805 . - 0 ID=AG-313-A11_00470;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00470;product=hypothetical protein -AG-313-A11_14 Prodigal:2.6 CDS 6918 7148 . + 0 ID=AG-313-A11_00471;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00471;product=hypothetical protein -AG-313-A11_14 Prodigal:2.6 CDS 7155 7406 . + 0 ID=AG-313-A11_00472;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00472;product=hypothetical protein -AG-313-A11_14 Prodigal:2.6 CDS 7495 8181 . + 0 ID=AG-313-A11_00473;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00473;product=hypothetical protein -AG-313-A11_14 Aragorn:1.2 tRNA 8233 8309 . + . ID=AG-313-A11_00474;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A11_00474;product=tRNA-Met(cat) -AG-313-A11_14 Prodigal:2.6 CDS 8313 9017 . - 0 ID=AG-313-A11_00475;eC_number=1.1.1.133;Name=rmlD;gene=rmlD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66251;locus_tag=AG-313-A11_00475;product=dTDP-4-dehydrorhamnose reductase -AG-313-A11_14 Prodigal:2.6 CDS 9014 9538 . - 0 ID=AG-313-A11_00476;eC_number=5.1.3.13;Name=rfbC;gene=rfbC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26394;locus_tag=AG-313-A11_00476;product=dTDP-4-dehydrorhamnose 3%2C5-epimerase -AG-313-A11_14 Prodigal:2.6 CDS 9589 10716 . - 0 ID=AG-313-A11_00477;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00477;product=hypothetical protein -AG-313-A11_14 Prodigal:2.6 CDS 10716 11585 . - 0 ID=AG-313-A11_00478;eC_number=2.7.7.24;Name=rffH;gene=rffH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P61887;locus_tag=AG-313-A11_00478;product=Glucose-1-phosphate thymidylyltransferase 2 -AG-313-A11_14 Prodigal:2.6 CDS 11582 12595 . - 0 ID=AG-313-A11_00479;eC_number=4.2.1.46;Name=rffG;gene=rffG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P27830;locus_tag=AG-313-A11_00479;product=dTDP-glucose 4%2C6-dehydratase 2 -AG-313-A11_14 Prodigal:2.6 CDS 12656 13549 . + 0 ID=AG-313-A11_00480;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00480;product=hypothetical protein -AG-313-A11_14 Prodigal:2.6 CDS 13546 14073 . - 0 ID=AG-313-A11_00481;eC_number=2.4.2.7;Name=apt;gene=apt;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69503;locus_tag=AG-313-A11_00481;product=Adenine phosphoribosyltransferase -AG-313-A11_14 Prodigal:2.6 CDS 14115 14987 . + 0 ID=AG-313-A11_00482;eC_number=2.4.2.44;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9HZK1;locus_tag=AG-313-A11_00482;product=S-methyl-5'-thioinosine phosphorylase -AG-313-A11_14 Prodigal:2.6 CDS 14984 15904 . + 0 ID=AG-313-A11_00483;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00483;product=hypothetical protein -AG-313-A11_14 Prodigal:2.6 CDS 15910 16980 . + 0 ID=AG-313-A11_00484;eC_number=5.3.1.23;Name=mtnA;gene=mtnA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X013;locus_tag=AG-313-A11_00484;product=Methylthioribose-1-phosphate isomerase -AG-313-A11_14 Prodigal:2.6 CDS 16977 17633 . + 0 ID=AG-313-A11_00485;eC_number=4.1.2.17;Name=fucA;gene=fucA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AB87;locus_tag=AG-313-A11_00485;product=L-fuculose phosphate aldolase -AG-313-A11_14 Prodigal:2.6 CDS 17635 18675 . + 0 ID=AG-313-A11_00486;eC_number=4.1.1.50;Name=speH;gene=speH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O66615;locus_tag=AG-313-A11_00486;product=S-adenosylmethionine decarboxylase proenzyme -AG-313-A11_14 Prodigal:2.6 CDS 18740 19582 . + 0 ID=AG-313-A11_00487;Name=occT;gene=occT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A4F8;locus_tag=AG-313-A11_00487;product=Octopine-binding periplasmic protein -AG-313-A11_15 Prodigal:2.6 CDS 18 572 . - 0 ID=AG-313-A11_00488;Name=yciB;gene=yciB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A710;locus_tag=AG-313-A11_00488;product=putative intracellular septation protein A -AG-313-A11_15 Prodigal:2.6 CDS 661 981 . + 0 ID=AG-313-A11_00489;Name=hspQ;gene=hspQ;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_01194;locus_tag=AG-313-A11_00489;product=Heat shock protein HspQ -AG-313-A11_15 Prodigal:2.6 CDS 1144 1851 . + 0 ID=AG-313-A11_00490;Name=ccmC;gene=ccmC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABM1;locus_tag=AG-313-A11_00490;product=Heme exporter protein C -AG-313-A11_15 Prodigal:2.6 CDS 1848 2072 . + 0 ID=AG-313-A11_00491;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00491;product=hypothetical protein -AG-313-A11_15 Prodigal:2.6 CDS 2081 2500 . + 0 ID=AG-313-A11_00492;Name=ccmE;gene=ccmE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69490;locus_tag=AG-313-A11_00492;product=Cytochrome c-type biogenesis protein CcmE -AG-313-A11_15 Prodigal:2.6 CDS 2504 4381 . + 0 ID=AG-313-A11_00493;Name=ccmF;gene=ccmF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33927;locus_tag=AG-313-A11_00493;product=Cytochrome c-type biogenesis protein CcmF -AG-313-A11_15 Prodigal:2.6 CDS 4371 4889 . + 0 ID=AG-313-A11_00494;Name=cycY;gene=cycY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P30960;locus_tag=AG-313-A11_00494;product=Thiol:disulfide interchange protein CycY -AG-313-A11_15 Prodigal:2.6 CDS 4886 5251 . + 0 ID=AG-313-A11_00495;Name=ccmH;gene=ccmH;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABM9;locus_tag=AG-313-A11_00495;product=Cytochrome c-type biogenesis protein CcmH -AG-313-A11_15 Prodigal:2.6 CDS 5265 5777 . + 0 ID=AG-313-A11_00496;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00496;product=hypothetical protein -AG-313-A11_15 Prodigal:2.6 CDS 5787 6938 . + 0 ID=AG-313-A11_00497;eC_number=1.1.-.-;Name=lldD_1;gene=lldD_1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WND5;locus_tag=AG-313-A11_00497;product=Putative L-lactate dehydrogenase -AG-313-A11_15 Prodigal:2.6 CDS 6938 8089 . + 0 ID=AG-313-A11_00498;eC_number=1.1.-.-;Name=lldD_2;gene=lldD_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P33232;locus_tag=AG-313-A11_00498;product=L-lactate dehydrogenase -AG-313-A11_15 Prodigal:2.6 CDS 8162 9328 . + 0 ID=AG-313-A11_00499;eC_number=2.6.1.-;Name=patA;gene=patA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P16524;locus_tag=AG-313-A11_00499;product=Putative N-acetyl-LL-diaminopimelate aminotransferase -AG-313-A11_15 Prodigal:2.6 CDS 9366 10739 . + 0 ID=AG-313-A11_00500;eC_number=1.-.-.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WIT1;locus_tag=AG-313-A11_00500;product=putative FAD-linked oxidoreductase -AG-313-A11_15 Prodigal:2.6 CDS 10750 11703 . + 0 ID=AG-313-A11_00501;eC_number=1.1.1.29;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P36234;locus_tag=AG-313-A11_00501;product=Glycerate dehydrogenase -AG-313-A11_15 Prodigal:2.6 CDS 11820 12977 . + 0 ID=AG-313-A11_00502;Name=takP;gene=takP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q3J1R2;locus_tag=AG-313-A11_00502;product=Alpha-keto acid-binding periplasmic protein TakP -AG-313-A11_15 Prodigal:2.6 CDS 13056 13631 . + 0 ID=AG-313-A11_00503;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00503;product=hypothetical protein -AG-313-A11_15 Prodigal:2.6 CDS 13633 14994 . + 0 ID=AG-313-A11_00504;Name=siaT_4;gene=siaT_4;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P44543;locus_tag=AG-313-A11_00504;product=Sialic acid TRAP transporter permease protein SiaT -AG-313-A11_15 Prodigal:2.6 CDS 15000 16325 . + 0 ID=AG-313-A11_00505;eC_number=3.5.1.4;Name=amiD;gene=amiD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WQ93;locus_tag=AG-313-A11_00505;product=Putative amidase AmiD -AG-313-A11_15 Prodigal:2.6 CDS 16327 16503 . + 0 ID=AG-313-A11_00506;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00506;product=hypothetical protein -AG-313-A11_15 Prodigal:2.6 CDS 16478 17314 . + 0 ID=AG-313-A11_00507;eC_number=3.4.22.-;Name=rtxA;gene=rtxA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9KS12;locus_tag=AG-313-A11_00507;product=Multifunctional-autoprocessing repeats-in-toxin -AG-313-A11_16 Prodigal:2.6 CDS 115 1533 . + 0 ID=AG-313-A11_00508;eC_number=3.6.4.12;Name=dnaC;gene=dnaC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37469;locus_tag=AG-313-A11_00508;product=Replicative DNA helicase -AG-313-A11_16 Prodigal:2.6 CDS 1555 3942 . + 0 ID=AG-313-A11_00509;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00509;product=hypothetical protein -AG-313-A11_16 Prodigal:2.6 CDS 3948 4493 . + 0 ID=AG-313-A11_00510;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00510;product=hypothetical protein -AG-313-A11_16 Prodigal:2.6 CDS 4447 5928 . + 0 ID=AG-313-A11_00511;eC_number=2.4.2.14;Name=purF;gene=purF;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00497;locus_tag=AG-313-A11_00511;product=Amidophosphoribosyltransferase -AG-313-A11_16 Prodigal:2.6 CDS 5943 7238 . + 0 ID=AG-313-A11_00512;eC_number=6.3.2.2;Name=egtA;gene=egtA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WPK7;locus_tag=AG-313-A11_00512;product=Glutamate--cysteine ligase EgtA -AG-313-A11_16 Prodigal:2.6 CDS 7228 8154 . + 0 ID=AG-313-A11_00513;eC_number=6.3.2.3;Name=gshB;gene=gshB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04425;locus_tag=AG-313-A11_00513;product=Glutathione synthetase -AG-313-A11_16 Prodigal:2.6 CDS 8151 9011 . + 0 ID=AG-313-A11_00514;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00514;product=hypothetical protein -AG-313-A11_16 Prodigal:2.6 CDS 9070 10359 . + 0 ID=AG-313-A11_00515;Name=ycaD;gene=ycaD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21503;locus_tag=AG-313-A11_00515;product=putative MFS-type transporter YcaD -AG-313-A11_16 Prodigal:2.6 CDS 10356 10991 . - 0 ID=AG-313-A11_00516;eC_number=2.7.4.25;Name=cmk;gene=cmk;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q97PK6;locus_tag=AG-313-A11_00516;product=Cytidylate kinase -AG-313-A11_16 Prodigal:2.6 CDS 11167 11976 . + 0 ID=AG-313-A11_00517;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00517;product=hypothetical protein -AG-313-A11_16 Prodigal:2.6 CDS 11978 12418 . - 0 ID=AG-313-A11_00518;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00518;product=hypothetical protein -AG-313-A11_16 Prodigal:2.6 CDS 12456 12683 . + 0 ID=AG-313-A11_00519;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00519;product=hypothetical protein -AG-313-A11_16 Prodigal:2.6 CDS 12706 13824 . - 0 ID=AG-313-A11_00520;eC_number=2.1.4.2;Name=strB1;gene=strB1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08078;locus_tag=AG-313-A11_00520;product=Inosamine-phosphate amidinotransferase 1 -AG-313-A11_16 Prodigal:2.6 CDS 13830 15047 . - 0 ID=AG-313-A11_00521;eC_number=3.5.3.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P38487;locus_tag=AG-313-A11_00521;product=Creatinase -AG-313-A11_16 Prodigal:2.6 CDS 15059 15964 . - 0 ID=AG-313-A11_00522;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00522;product=hypothetical protein -AG-313-A11_16 Prodigal:2.6 CDS 16015 17268 . - 0 ID=AG-313-A11_00523;eC_number=2.10.1.1;Name=moeA;gene=moeA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P99139;locus_tag=AG-313-A11_00523;product=Molybdopterin molybdenumtransferase -AG-313-A11_17 Prodigal:2.6 CDS 457 1542 . + 0 ID=AG-313-A11_00524;eC_number=2.6.1.9;Name=hisC;gene=hisC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P67725;locus_tag=AG-313-A11_00524;product=Histidinol-phosphate aminotransferase -AG-313-A11_17 Prodigal:2.6 CDS 1539 2435 . + 0 ID=AG-313-A11_00525;eC_number=1.3.1.12;Name=tyrA;gene=tyrA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O69721;locus_tag=AG-313-A11_00525;product=Prephenate dehydrogenase -AG-313-A11_17 Prodigal:2.6 CDS 2432 3184 . - 0 ID=AG-313-A11_00526;eC_number=3.4.22.-;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P39043;locus_tag=AG-313-A11_00526;product=Dipeptidyl-peptidase 6 -AG-313-A11_17 Prodigal:2.6 CDS 3174 4550 . - 0 ID=AG-313-A11_00527;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00527;product=hypothetical protein -AG-313-A11_17 Prodigal:2.6 CDS 4553 5992 . - 0 ID=AG-313-A11_00528;Name=trkI;gene=trkI;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:E1V6K4;locus_tag=AG-313-A11_00528;product=Trk system potassium uptake protein TrkI -AG-313-A11_17 Prodigal:2.6 CDS 6081 7643 . + 0 ID=AG-313-A11_00529;eC_number=6.1.1.6;Name=lysS;gene=lysS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O51603;locus_tag=AG-313-A11_00529;product=Lysine--tRNA ligase -AG-313-A11_17 Prodigal:2.6 CDS 7643 8686 . + 0 ID=AG-313-A11_00530;eC_number=1.3.5.2;Name=pyrD;gene=pyrD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A7E1;locus_tag=AG-313-A11_00530;product=Dihydroorotate dehydrogenase (quinone) -AG-313-A11_17 Prodigal:2.6 CDS 8747 9061 . + 0 ID=AG-313-A11_00531;Name=rpmB;gene=rpmB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6NCH9;locus_tag=AG-313-A11_00531;product=50S ribosomal protein L28 -AG-313-A11_17 Prodigal:2.6 CDS 9061 9609 . + 0 ID=AG-313-A11_00532;Name=yhhQ;gene=yhhQ;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37619;locus_tag=AG-313-A11_00532;product=Inner membrane protein YhhQ -AG-313-A11_17 Prodigal:2.6 CDS 9612 10487 . - 0 ID=AG-313-A11_00533;eC_number=3.5.3.24;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SJ85;locus_tag=AG-313-A11_00533;product=N(1)-aminopropylagmatine ureohydrolase -AG-313-A11_17 Prodigal:2.6 CDS 10492 11535 . - 0 ID=AG-313-A11_00534;eC_number=2.5.-.-;inference=ab initio prediction:Prodigal:2.6,protein motif:HAMAP:MF_00640;locus_tag=AG-313-A11_00534;product=Deoxyhypusine synthase-like protein -AG-313-A11_17 Prodigal:2.6 CDS 11535 12719 . - 0 ID=AG-313-A11_00535;eC_number=4.1.1.17;Name=ldc;gene=ldc;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O50657;locus_tag=AG-313-A11_00535;product=Lysine/ornithine decarboxylase -AG-313-A11_17 Prodigal:2.6 CDS 12869 13432 . + 0 ID=AG-313-A11_00536;Name=regA;gene=regA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q53228;locus_tag=AG-313-A11_00536;product=Photosynthetic apparatus regulatory protein RegA -AG-313-A11_17 Prodigal:2.6 CDS 13425 13976 . - 0 ID=AG-313-A11_00537;Name=bioY;gene=bioY;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9WZQ6;locus_tag=AG-313-A11_00537;product=Biotin transporter BioY -AG-313-A11_18 Prodigal:2.6 CDS 121 807 . + 0 ID=AG-313-A11_00538;eC_number=2.1.1.228;Name=trmD;gene=trmD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6G1R9;locus_tag=AG-313-A11_00538;product=tRNA (guanine-N(1)-)-methyltransferase -AG-313-A11_18 Prodigal:2.6 CDS 824 1402 . + 0 ID=AG-313-A11_00539;Name=rplS;gene=rplS;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6ND68;locus_tag=AG-313-A11_00539;product=50S ribosomal protein L19 -AG-313-A11_18 Prodigal:2.6 CDS 1414 2817 . + 0 ID=AG-313-A11_00540;eC_number=4.2.1.33;Name=leuC;gene=leuC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6A6;locus_tag=AG-313-A11_00540;product=3-isopropylmalate dehydratase large subunit -AG-313-A11_18 Prodigal:2.6 CDS 2819 3424 . + 0 ID=AG-313-A11_00541;eC_number=4.2.1.33;Name=leuD1;gene=leuD1;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04787;locus_tag=AG-313-A11_00541;product=3-isopropylmalate dehydratase small subunit 1 -AG-313-A11_18 Prodigal:2.6 CDS 3417 4523 . + 0 ID=AG-313-A11_00542;eC_number=1.1.1.85;Name=leuB;gene=leuB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2T7H6;locus_tag=AG-313-A11_00542;product=3-isopropylmalate dehydrogenase -AG-313-A11_18 Prodigal:2.6 CDS 4550 6313 . + 0 ID=AG-313-A11_00543;eC_number=1.3.8.-;Name=dmdC;gene=dmdC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5LLW7;locus_tag=AG-313-A11_00543;product=3-methylmercaptopropionyl-CoA dehydrogenase -AG-313-A11_18 Prodigal:2.6 CDS 6315 7931 . + 0 ID=AG-313-A11_00544;eC_number=6.2.1.3;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q5SKN9;locus_tag=AG-313-A11_00544;product=Long-chain-fatty-acid--CoA ligase -AG-313-A11_18 Prodigal:2.6 CDS 7940 8716 . + 0 ID=AG-313-A11_00545;eC_number=3.7.1.14;Name=mhpC;gene=mhpC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P77044;locus_tag=AG-313-A11_00545;product=2-hydroxy-6-oxononadienedioate/2-hydroxy-6-oxononatrienedioate hydrolase -AG-313-A11_18 Prodigal:2.6 CDS 8713 9822 . + 0 ID=AG-313-A11_00546;eC_number=2.1.1.269;Name=dmdA_2;gene=dmdA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q4FP21;locus_tag=AG-313-A11_00546;product=Dimethylsulfonioproprionate demethylase DmdA -AG-313-A11_18 Prodigal:2.6 CDS 9838 10845 . + 0 ID=AG-313-A11_00547;eC_number=1.2.1.11;Name=asd2;gene=asd2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P23247;locus_tag=AG-313-A11_00547;product=Aspartate-semialdehyde dehydrogenase 2 -AG-313-A11_18 Prodigal:2.6 CDS 10835 11218 . + 0 ID=AG-313-A11_00548;Name=sdhC;gene=sdhC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69054;locus_tag=AG-313-A11_00548;product=Succinate dehydrogenase cytochrome b556 subunit -AG-313-A11_18 Prodigal:2.6 CDS 11220 11543 . + 0 ID=AG-313-A11_00549;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00549;product=hypothetical protein -AG-313-A11_18 Prodigal:2.6 CDS 11540 13315 . + 0 ID=AG-313-A11_00550;eC_number=1.3.5.1;Name=sdhA;gene=sdhA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AC41;locus_tag=AG-313-A11_00550;product=Succinate dehydrogenase flavoprotein subunit -AG-313-A11_18 Prodigal:2.6 CDS 13315 14094 . + 0 ID=AG-313-A11_00551;eC_number=1.3.5.1;Name=sdhB;gene=sdhB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07014;locus_tag=AG-313-A11_00551;product=Succinate dehydrogenase iron-sulfur subunit -AG-313-A11_19 Prodigal:2.6 CDS 46 420 . + 0 ID=AG-313-A11_00552;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00552;product=hypothetical protein -AG-313-A11_19 Prodigal:2.6 CDS 417 1529 . - 0 ID=AG-313-A11_00553;eC_number=2.7.7.7;Name=dnaN;gene=dnaN;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A988;locus_tag=AG-313-A11_00553;product=DNA polymerase III subunit beta -AG-313-A11_19 Prodigal:2.6 CDS 1519 2937 . - 0 ID=AG-313-A11_00554;Name=dnaA_2;gene=dnaA_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05648;locus_tag=AG-313-A11_00554;product=Chromosomal replication initiator protein DnaA -AG-313-A11_19 Prodigal:2.6 CDS 3218 3478 . - 0 ID=AG-313-A11_00555;Name=rpsT;gene=rpsT;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q6N0C7;locus_tag=AG-313-A11_00555;product=30S ribosomal protein S20 -AG-313-A11_19 Prodigal:2.6 CDS 3529 4392 . - 0 ID=AG-313-A11_00556;eC_number=3.2.2.23;Name=mutM;gene=mutM;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P05523;locus_tag=AG-313-A11_00556;product=Formamidopyrimidine-DNA glycosylase -AG-313-A11_19 Prodigal:2.6 CDS 4424 5128 . + 0 ID=AG-313-A11_00557;eC_number=2.1.1.163;Name=ubiE;gene=ubiE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A887;locus_tag=AG-313-A11_00557;product=Ubiquinone/menaquinone biosynthesis C-methyltransferase UbiE -AG-313-A11_19 Prodigal:2.6 CDS 5128 6696 . + 0 ID=AG-313-A11_00558;eC_number=2.7.-.-;Name=ubiB;gene=ubiB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6A0;locus_tag=AG-313-A11_00558;product=putative protein kinase UbiB -AG-313-A11_19 Prodigal:2.6 CDS 6704 7909 . + 0 ID=AG-313-A11_00559;Name=coaBC;gene=coaBC;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0ABQ0;locus_tag=AG-313-A11_00559;product=Coenzyme A biosynthesis bifunctional protein CoaBC -AG-313-A11_19 Prodigal:2.6 CDS 7909 8346 . + 0 ID=AG-313-A11_00560;eC_number=3.6.1.23;Name=dut;gene=dut;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q2YRG4;locus_tag=AG-313-A11_00560;product=Deoxyuridine 5'-triphosphate nucleotidohydrolase -AG-313-A11_19 Prodigal:2.6 CDS 8343 9104 . + 0 ID=AG-313-A11_00561;eC_number=2.7.7.80;Name=moeB;gene=moeB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P12282;locus_tag=AG-313-A11_00561;product=Molybdopterin-synthase adenylyltransferase -AG-313-A11_19 Prodigal:2.6 CDS 9089 9541 . + 0 ID=AG-313-A11_00562;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00562;product=hypothetical protein -AG-313-A11_19 Prodigal:2.6 CDS 9575 9754 . - 0 ID=AG-313-A11_00563;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00563;product=hypothetical protein -AG-313-A11_19 Prodigal:2.6 CDS 9876 10115 . - 0 ID=AG-313-A11_00564;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00564;product=hypothetical protein -AG-313-A11_19 Prodigal:2.6 CDS 10115 10711 . - 0 ID=AG-313-A11_00565;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00565;product=hypothetical protein -AG-313-A11_19 Prodigal:2.6 CDS 10740 12797 . - 0 ID=AG-313-A11_00566;eC_number=1.11.1.21;Name=katG;gene=katG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P14412;locus_tag=AG-313-A11_00566;product=Catalase-peroxidase -AG-313-A11_20 Prodigal:2.6 CDS 227 658 . - 0 ID=AG-313-A11_00567;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00567;product=hypothetical protein -AG-313-A11_20 Prodigal:2.6 CDS 659 1189 . - 0 ID=AG-313-A11_00568;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00568;product=hypothetical protein -AG-313-A11_20 Prodigal:2.6 CDS 1186 1953 . - 0 ID=AG-313-A11_00569;eC_number=1.4.3.-;Name=puuB;gene=puuB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P37906;locus_tag=AG-313-A11_00569;product=Gamma-glutamylputrescine oxidoreductase -AG-313-A11_20 Prodigal:2.6 CDS 2001 3773 . - 0 ID=AG-313-A11_00570;eC_number=2.3.3.15;Name=xsc;gene=xsc;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:D5AKX8;locus_tag=AG-313-A11_00570;product=Sulfoacetaldehyde acetyltransferase -AG-313-A11_20 Prodigal:2.6 CDS 3840 4184 . + 0 ID=AG-313-A11_00571;eC_number=4.4.1.24;Name=suyA;gene=suyA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1QWP1;locus_tag=AG-313-A11_00571;product=(2R)-sulfolactate sulfo-lyase subunit alpha -AG-313-A11_20 Prodigal:2.6 CDS 4189 5355 . + 0 ID=AG-313-A11_00572;eC_number=4.4.1.24;Name=suyB;gene=suyB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q58Y43;locus_tag=AG-313-A11_00572;product=(2R)-sulfolactate sulfo-lyase subunit beta -AG-313-A11_20 Prodigal:2.6 CDS 5374 6459 . + 0 ID=AG-313-A11_00573;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00573;product=hypothetical protein -AG-313-A11_20 Prodigal:2.6 CDS 6452 7537 . - 0 ID=AG-313-A11_00574;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00574;product=hypothetical protein -AG-313-A11_20 Prodigal:2.6 CDS 7746 8096 . - 0 ID=AG-313-A11_00575;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00575;product=hypothetical protein -AG-313-A11_20 Prodigal:2.6 CDS 8121 9980 . - 0 ID=AG-313-A11_00576;eC_number=1.8.99.2;Name=aprA;gene=aprA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:T2G6Z9;locus_tag=AG-313-A11_00576;product=Adenylylsulfate reductase subunit alpha -AG-313-A11_20 Prodigal:2.6 CDS 9980 10450 . - 0 ID=AG-313-A11_00577;Name=aprB;gene=aprB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:T2G899;locus_tag=AG-313-A11_00577;product=Adenylylsulfate reductase subunit beta -AG-313-A11_20 Prodigal:2.6 CDS 10484 11095 . - 0 ID=AG-313-A11_00578;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00578;product=hypothetical protein -AG-313-A11_21 Prodigal:2.6 CDS 5 388 . + 0 ID=AG-313-A11_00579;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00579;product=hypothetical protein -AG-313-A11_21 Prodigal:2.6 CDS 381 1571 . + 0 ID=AG-313-A11_00580;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00580;product=hypothetical protein -AG-313-A11_21 Prodigal:2.6 CDS 1572 2033 . + 0 ID=AG-313-A11_00581;eC_number=4.2.1.59;Name=fabZ_2;gene=fabZ_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6Q6;locus_tag=AG-313-A11_00581;product=3-hydroxyacyl-[acyl-carrier-protein] dehydratase FabZ -AG-313-A11_21 Prodigal:2.6 CDS 2045 3040 . + 0 ID=AG-313-A11_00582;eC_number=1.3.1.84;Name=acuI_2;gene=acuI_2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P26646;locus_tag=AG-313-A11_00582;product=putative acrylyl-CoA reductase AcuI -AG-313-A11_21 barrnap:0.6 rRNA 3090 5837 0 - . ID=AG-313-A11_00583;locus_tag=AG-313-A11_00583;product=23S ribosomal RNA -AG-313-A11_21 Aragorn:1.2 tRNA 5973 6048 . - . ID=AG-313-A11_00584;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A11_00584;product=tRNA-Ala(tgc) -AG-313-A11_21 Aragorn:1.2 tRNA 6061 6137 . - . ID=AG-313-A11_00585;inference=COORDINATES:profile:Aragorn:1.2;locus_tag=AG-313-A11_00585;product=tRNA-Ile(gat) -AG-313-A11_21 barrnap:0.6 rRNA 6238 7330 2.3e-284 - . ID=AG-313-A11_00586;locus_tag=AG-313-A11_00586;note=aligned only 68 percent of the 16S ribosomal RNA;product=16S ribosomal RNA (partial) -AG-313-A11_22 Prodigal:2.6 CDS 201 1145 . - 0 ID=AG-313-A11_00587;eC_number=1.8.1.9;Name=trxB;gene=trxB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A9P4;locus_tag=AG-313-A11_00587;product=Thioredoxin reductase -AG-313-A11_22 Prodigal:2.6 CDS 1167 2105 . + 0 ID=AG-313-A11_00588;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00588;product=hypothetical protein -AG-313-A11_22 Prodigal:2.6 CDS 2105 2767 . + 0 ID=AG-313-A11_00589;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00589;product=hypothetical protein -AG-313-A11_22 Prodigal:2.6 CDS 2769 5993 . - 0 ID=AG-313-A11_00590;eC_number=6.3.5.5;Name=carB;gene=carB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00968;locus_tag=AG-313-A11_00590;product=Carbamoyl-phosphate synthase large chain -AG-313-A11_22 Prodigal:2.6 CDS 5971 7164 . - 0 ID=AG-313-A11_00591;eC_number=6.3.5.5;Name=carA;gene=carA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6F1;locus_tag=AG-313-A11_00591;product=Carbamoyl-phosphate synthase small chain -AG-313-A11_23 Prodigal:2.6 CDS 20 937 . + 0 ID=AG-313-A11_00592;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFF6;locus_tag=AG-313-A11_00592;note=Transcription termination/antitermination protein NusA;product=hypothetical protein -AG-313-A11_23 Prodigal:2.6 CDS 948 3164 . + 0 ID=AG-313-A11_00593;Name=infB;gene=infB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P04766;locus_tag=AG-313-A11_00593;product=Translation initiation factor IF-2 -AG-313-A11_23 Prodigal:2.6 CDS 3164 3532 . + 0 ID=AG-313-A11_00594;Name=rbfA;gene=rbfA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P65967;locus_tag=AG-313-A11_00594;product=Ribosome-binding factor A -AG-313-A11_23 Prodigal:2.6 CDS 3544 3792 . + 0 ID=AG-313-A11_00595;Name=rpsO;gene=rpsO;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P21473;locus_tag=AG-313-A11_00595;product=30S ribosomal protein S15 -AG-313-A11_23 Prodigal:2.6 CDS 3843 5915 . + 0 ID=AG-313-A11_00596;eC_number=2.7.7.8;Name=pnp;gene=pnp;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9AC32;locus_tag=AG-313-A11_00596;product=Polyribonucleotide nucleotidyltransferase -AG-313-A11_24 Prodigal:2.6 CDS 476 1219 . + 0 ID=AG-313-A11_00597;eC_number=5.2.1.1;Name=maiA;gene=maiA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:O24766;locus_tag=AG-313-A11_00597;product=Maleate isomerase -AG-313-A11_24 Prodigal:2.6 CDS 1223 2392 . + 0 ID=AG-313-A11_00598;eC_number=3.5.2.-;Name=doeA;gene=doeA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:E1V7W1;locus_tag=AG-313-A11_00598;product=Ectoine hydrolase -AG-313-A11_24 Prodigal:2.6 CDS 2449 3528 . + 0 ID=AG-313-A11_00599;eC_number=3.6.3.31;Name=potA;gene=potA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P69874;locus_tag=AG-313-A11_00599;product=Spermidine/putrescine import ATP-binding protein PotA -AG-313-A11_24 Prodigal:2.6 CDS 3627 4745 . + 0 ID=AG-313-A11_00600;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00600;product=hypothetical protein -AG-313-A11_24 Prodigal:2.6 CDS 4817 6070 . + 0 ID=AG-313-A11_00601;Name=potB;gene=potB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AFK4;locus_tag=AG-313-A11_00601;product=Spermidine/putrescine transport system permease protein PotB -AG-313-A11_25 Prodigal:2.6 CDS 33 818 . + 0 ID=AG-313-A11_00602;eC_number=6.3.5.2;Name=guaA;gene=guaA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q83BZ6;locus_tag=AG-313-A11_00602;product=GMP synthase [glutamine-hydrolyzing] -AG-313-A11_25 Prodigal:2.6 CDS 820 1599 . + 0 ID=AG-313-A11_00603;eC_number=2.1.2.11;Name=panB;gene=panB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q9X712;locus_tag=AG-313-A11_00603;product=3-methyl-2-oxobutanoate hydroxymethyltransferase -AG-313-A11_25 Prodigal:2.6 CDS 1605 3086 . - 0 ID=AG-313-A11_00604;eC_number=1.2.1.3;Name=aldA;gene=aldA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q7A825;locus_tag=AG-313-A11_00604;product=Putative aldehyde dehydrogenase AldA -AG-313-A11_25 Prodigal:2.6 CDS 3087 3869 . - 0 ID=AG-313-A11_00605;eC_number=3.1.1.24;Name=catD;gene=catD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00632;locus_tag=AG-313-A11_00605;product=3-oxoadipate enol-lactonase 2 -AG-313-A11_25 Prodigal:2.6 CDS 3874 4197 . - 0 ID=AG-313-A11_00606;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00606;product=hypothetical protein -AG-313-A11_26 Prodigal:2.6 CDS 305 1270 . + 0 ID=AG-313-A11_00607;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00607;product=hypothetical protein -AG-313-A11_26 Prodigal:2.6 CDS 1293 2483 . - 0 ID=AG-313-A11_00608;Name=algA;gene=algA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P07874;locus_tag=AG-313-A11_00608;product=Alginate biosynthesis protein AlgA -AG-313-A11_26 Prodigal:2.6 CDS 2483 3472 . - 0 ID=AG-313-A11_00609;eC_number=4.2.1.9;Name=ilvD;gene=ilvD;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WKJ5;locus_tag=AG-313-A11_00609;product=Dihydroxy-acid dehydratase -AG-313-A11_27 Prodigal:2.6 CDS 839 1546 . - 0 ID=AG-313-A11_00610;eC_number=2.7.13.3;Name=resE;gene=resE;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P35164;locus_tag=AG-313-A11_00610;product=Sensor histidine kinase ResE -AG-313-A11_27 Prodigal:2.6 CDS 1624 2220 . - 0 ID=AG-313-A11_00611;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00611;product=hypothetical protein -AG-313-A11_27 Prodigal:2.6 CDS 2226 2837 . - 0 ID=AG-313-A11_00612;eC_number=2.3.1.31;Name=metX;gene=metX;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q8F4I0;locus_tag=AG-313-A11_00612;product=Homoserine O-acetyltransferase -AG-313-A11_28 Prodigal:2.6 CDS 71 1747 . + 0 ID=AG-313-A11_00613;eC_number=2.7.7.7;Name=polA;gene=polA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P00582;locus_tag=AG-313-A11_00613;product=DNA polymerase I -AG-313-A11_28 Prodigal:2.6 CDS 1793 2500 . + 0 ID=AG-313-A11_00614;Name=creB;gene=creB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P08368;locus_tag=AG-313-A11_00614;product=Transcriptional regulatory protein CreB -AG-313-A11_29 Prodigal:2.6 CDS 39 980 . + 0 ID=AG-313-A11_00615;Name=tauA;gene=tauA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q47537;locus_tag=AG-313-A11_00615;product=Taurine-binding periplasmic protein -AG-313-A11_29 Prodigal:2.6 CDS 1070 1867 . + 0 ID=AG-313-A11_00616;eC_number=3.6.3.36;Name=tauB;gene=tauB;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q47538;locus_tag=AG-313-A11_00616;product=Taurine import ATP-binding protein TauB -AG-313-A11_30 Prodigal:2.6 CDS 168 611 . + 0 ID=AG-313-A11_00617;eC_number=1.1.1.100;Name=fabG;gene=fabG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P50941;locus_tag=AG-313-A11_00617;product=3-oxoacyl-[acyl-carrier-protein] reductase FabG -AG-313-A11_30 Prodigal:2.6 CDS 661 900 . + 0 ID=AG-313-A11_00618;Name=acpP;gene=acpP;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P94123;locus_tag=AG-313-A11_00618;product=Acyl carrier protein -AG-313-A11_30 Prodigal:2.6 CDS 909 1541 . + 0 ID=AG-313-A11_00619;eC_number=2.7.4.8;Name=gmk;gene=gmk;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P60546;locus_tag=AG-313-A11_00619;product=Guanylate kinase -AG-313-A11_30 Prodigal:2.6 CDS 1530 2318 . - 0 ID=AG-313-A11_00620;eC_number=2.1.1.182;Name=rsmA;gene=rsmA;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:Q1RK29;locus_tag=AG-313-A11_00620;product=Ribosomal RNA small subunit methyltransferase A -AG-313-A11_30 Prodigal:2.6 CDS 2315 2500 . - 0 ID=AG-313-A11_00621;eC_number=1.1.1.262;Name=pdxA2;gene=pdxA2;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P58718;locus_tag=AG-313-A11_00621;product=4-hydroxythreonine-4-phosphate dehydrogenase 2 -AG-313-A11_31 Prodigal:2.6 CDS 199 1557 . - 0 ID=AG-313-A11_00622;Name=ffh;gene=ffh;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0AGD7;locus_tag=AG-313-A11_00622;product=Signal recognition particle protein -AG-313-A11_33 Prodigal:2.6 CDS 53 664 . + 0 ID=AG-313-A11_00623;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00623;product=hypothetical protein -AG-313-A11_33 Prodigal:2.6 CDS 661 2025 . + 0 ID=AG-313-A11_00624;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00624;product=hypothetical protein -AG-313-A11_34 Prodigal:2.6 CDS 7 1878 . + 0 ID=AG-313-A11_00625;Name=mnmG;gene=mnmG;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P0A6U3;locus_tag=AG-313-A11_00625;product=tRNA uridine 5-carboxymethylaminomethyl modification enzyme MnmG -AG-313-A11_35 Prodigal:2.6 CDS 66 176 . + 0 ID=AG-313-A11_00626;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00626;product=hypothetical protein -AG-313-A11_35 Prodigal:2.6 CDS 264 533 . + 0 ID=AG-313-A11_00627;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00627;product=hypothetical protein -AG-313-A11_35 Prodigal:2.6 CDS 519 1166 . - 0 ID=AG-313-A11_00628;eC_number=4.1.1.65;Name=psd;gene=psd;inference=ab initio prediction:Prodigal:2.6,similar to AA sequence:UniProtKB:P9WHQ5;locus_tag=AG-313-A11_00628;product=Phosphatidylserine decarboxylase proenzyme -AG-313-A11_35 Prodigal:2.6 CDS 1362 1781 . - 0 ID=AG-313-A11_00629;inference=ab initio prediction:Prodigal:2.6;locus_tag=AG-313-A11_00629;product=hypothetical protein diff --git a/inst/extdata/gorg/gorg.gff.xz b/inst/extdata/gorg/gorg.gff.xz new file mode 100644 index 0000000000000000000000000000000000000000..5caad4838504c30f12f0e98eaf2f8125c913a029 GIT binary patch literal 79764 zcmV(nK=Qx+H+ooF000E$*0e?f03iV!0000G&sfapduQ+eT>uf`n9YLIv9A+s=v{S9 zu+QJd`TAVMnGx0a%f|NVZo@sGE81*+F%dnbz;0iwMMm6_i*>9Tt31CmmV3{mI8{zJ~dMBL~8uZPrp9iPLesbu6M8IVf~O zDOD&$&OW^6o<$4u5-yRLF)}2B`W=x}P;9EU&$=e!8HYJCtj?o#&GQ5do!fE)udH=m zfm)l9<7AkZ5`=03qp3ah`oM`R0}9IZ)+!KLrs_wA?P~w{EN9*03`FO%&h~#6sZ^v0 zUE3aQxRHjZ>qKAwymruT3ETcKZfr!-T!so0V4%N5w*v?u4H*FzumSwFZ0xtUP4&nX ze%s1jSG|!6{@0kXM-wYH2#mMd0Bi&vxY{LakE}CKMFiA3*B3tjH~ZxkPY(A*GoBw{Gu+0XHYNOm{$*w1eme^IG2DBXXGgN2bVZ!0{x7o+bi?;fxA zQJp+O-vjrz?;ma85iyOnqht$_ z%%rADjh=-Z%4POloUfSxH;c=I)m3TD^`T;nE*JV##q6Wzao=h0tiMprs!%!%pdnkq 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z`$n4%d8X`H+HQPfwvgue98Gf#ke&Z?MYh31Ad|Evo{;F?^C4QM_yCkCQB2UO&`Odx zAjPq47`U;&EGp2O3C&`WXLD0W9nqpU181U}$CSF<2k1A?d~?&DNCNxPc*_zL5ixkJ zZb_tSK6>4#1yV4ImKp&c{@T7WBuroL8wV!HZ-x^c|i%xZeTs9;`wGkk%|SWHFa! zkIlEtb5U|mZR|^cgp5Tvh}Rk!{qrR95-qzyz33l a0r2hwgMcsQBVfI;#Ao{g000001X)^Z>7A?q literal 0 HcmV?d00001 diff --git a/man/focus.Rd b/man/focus.Rd index 369d884..a36c72b 100644 --- a/man/focus.Rd +++ b/man/focus.Rd @@ -110,7 +110,7 @@ s1 <- s0 \%>\% # strip trailing number from contigs to get bins dplyr::mutate(bin_id = stringr::str_remove(seq_id, "_\\\\d+$")) # gene annotations from prokka -g0 <- read_feats(ex("gorg/gorg.gff")) +g0 <- read_feats(ex("gorg/gorg.gff.xz")) # best hits to the PADS Arsenal database of prokaryotic defense-system genes # $ mmseqs easy-search gorg.fna pads-arsenal-v1-prf gorg-pads-defense.o6 /tmp \ From f293ca2d2d3999652100d90a7c399d1e204d1d82 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Wed, 19 Jun 2024 16:38:51 +0200 Subject: [PATCH 15/25] Move advanced flip examples to separate vignette --- R/flip.R | 35 ++------------------ man/flip.Rd | 36 +++------------------ vignettes/flip.Rmd | 80 ++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 87 insertions(+), 64 deletions(-) create mode 100644 vignettes/flip.Rmd diff --git a/R/flip.R b/R/flip.R index 7c6aa41..5b2cf68 100644 --- a/R/flip.R +++ b/R/flip.R @@ -4,6 +4,9 @@ #' sequences and their features. `sync` automatically flips bins using a #' heuristic that maximizes the amount of forward strand links between #' neighboring bins. +#' +#' For more details see the help vignette: +#' \code{vignette("flip", package = "gggenomes")} #' #' @param x a gggenomes object #' @param ... bins or sequences to flip in dplyr::select like syntax (numeric @@ -45,38 +48,6 @@ #' sync() + labs(caption="shared orthologs") #' #' p0 + p1 + p2 + p3 + p4 + plot_layout(nrow=1, guides="collect") -#' -#' # flip seqs inside bins -#' s0 <- tibble::tibble( -#' bin_id = c("A", "B", "B", "B", "C", "C", "C"), -#' seq_id = c("a1","b1","b2","b3","c1","c2","c3"), -#' length = c(1e4, 6e3, 2e3, 1e3, 3e3, 3e3, 3e3)) -#' -#' p <- gggenomes(seqs=s0) + -#' geom_seq(aes(color=bin_id), size=1, arrow = arrow(angle = 30, length = unit(10, "pt"), -#' ends = "last", type = "open")) + -#' geom_bin_label() + geom_seq_label() + -#' expand_limits(color=c("A","B","C")) -#' -#' p1 <- p %>% flip_seqs(6) -#' p2 <- p %>% flip_seqs(c2) -#' p3 <- p %>% flip_seqs(2, .bins = C) -#' -#' p + p1 + p2 + p3 + plot_layout(nrow=1, guides="collect") -#' -#' # fancy flipping using tidyselect::where for dynamic selection -#' p <- gggenomes(emale_genes,emale_seqs) %>% add_clusters(emale_cogs) + -#' geom_seq(color="grey70", size=1, arrow = arrow(angle = 30, length = unit(15, "pt"), -#' ends = "last", type = "open")) + -#' geom_gene(aes(fill=cluster_id)) -#' -#' # flip all short seqs - where() applied to .bin_track=seqs -#' p1 <- p %>% flip(where(~.x$length < 21000)) -#' -#' # flip all seqs with MCP on "-" - where() applied to .bin_track=genes -#' p2 <- p %>% flip(where(~any(.x$strand[.x$cluster_id %in% "cog-MCP"] == "-")), .bin_track=genes) -#' -#' p + p1 + p2 + plot_layout(nrow=1, guides="collect") & theme(legend.position = "bottom") #' @export flip <- function(x, ..., .bin_track=seqs){ UseMethod("flip") diff --git a/man/flip.Rd b/man/flip.Rd index e7b5d33..4f5b540 100644 --- a/man/flip.Rd +++ b/man/flip.Rd @@ -38,6 +38,10 @@ sequences and their features. \code{sync} automatically flips bins using a heuristic that maximizes the amount of forward strand links between neighboring bins. } +\details{ +For more details see the help vignette: +\code{vignette("flip", package = "gggenomes")} +} \examples{ library(patchwork) p <- gggenomes(genes=emale_genes) + @@ -67,36 +71,4 @@ p4 <- p \%>\% add_clusters(emale_cogs) \%>\% sync() + labs(caption="shared orthologs") p0 + p1 + p2 + p3 + p4 + plot_layout(nrow=1, guides="collect") - -# flip seqs inside bins -s0 <- tibble::tibble( - bin_id = c("A", "B", "B", "B", "C", "C", "C"), - seq_id = c("a1","b1","b2","b3","c1","c2","c3"), - length = c(1e4, 6e3, 2e3, 1e3, 3e3, 3e3, 3e3)) - -p <- gggenomes(seqs=s0) + - geom_seq(aes(color=bin_id), size=1, arrow = arrow(angle = 30, length = unit(10, "pt"), - ends = "last", type = "open")) + - geom_bin_label() + geom_seq_label() + - expand_limits(color=c("A","B","C")) - -p1 <- p \%>\% flip_seqs(6) -p2 <- p \%>\% flip_seqs(c2) -p3 <- p \%>\% flip_seqs(2, .bins = C) - -p + p1 + p2 + p3 + plot_layout(nrow=1, guides="collect") - -# fancy flipping using tidyselect::where for dynamic selection -p <- gggenomes(emale_genes,emale_seqs) \%>\% add_clusters(emale_cogs) + - geom_seq(color="grey70", size=1, arrow = arrow(angle = 30, length = unit(15, "pt"), - ends = "last", type = "open")) + - geom_gene(aes(fill=cluster_id)) - -# flip all short seqs - where() applied to .bin_track=seqs -p1 <- p \%>\% flip(where(~.x$length < 21000)) - -# flip all seqs with MCP on "-" - where() applied to .bin_track=genes -p2 <- p \%>\% flip(where(~any(.x$strand[.x$cluster_id \%in\% "cog-MCP"] == "-")), .bin_track=genes) - -p + p1 + p2 + plot_layout(nrow=1, guides="collect") & theme(legend.position = "bottom") } diff --git a/vignettes/flip.Rmd b/vignettes/flip.Rmd new file mode 100644 index 0000000..d0d8981 --- /dev/null +++ b/vignettes/flip.Rmd @@ -0,0 +1,80 @@ +--- +title: "Advanced flip examples" +author: "Thomas Hackl" +date: "`r format(Sys.Date())`" +vignette: > + %\VignetteIndexEntry{Flip} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +``` {r} +library(gggenomes) +library(patchwork) +``` + +``` {r dpi=36, out.width="720px"} +p <- gggenomes(genes=emale_genes) + + geom_seq(aes(color=strand), arrow=TRUE) + + geom_link(aes(fill=strand)) + + expand_limits(color=c("-")) + + labs(caption="not flipped") + +# nothing flipped +p0 <- p %>% add_links(emale_ava) + +# flip manually +p1 <- p %>% add_links(emale_ava) %>% + flip(4:6) + labs(caption="manually") + +# flip automatically based on genome-genome links +p2 <- p %>% add_links(emale_ava) %>% + sync() + labs(caption="genome alignments") + +# flip automatically based on protein-protein links +p3 <- p %>% add_sublinks(emale_prot_ava) %>% + sync() + labs(caption="protein alignments") + +# flip automatically based on genes linked implicitly by belonging +# to the same clusters of orthologs (or any grouping of your choice) +p4 <- p %>% add_clusters(emale_cogs) %>% + sync() + labs(caption="shared orthologs") + +p0 + p1 + p2 + p3 + p4 + plot_layout(nrow=1, guides="collect") +``` + +``` {r dpi=36, out.width="720px"} +# flip seqs inside bins +s0 <- tibble::tibble( + bin_id = c("A", "B", "B", "B", "C", "C", "C"), + seq_id = c("a1","b1","b2","b3","c1","c2","c3"), + length = c(1e4, 6e3, 2e3, 1e3, 3e3, 3e3, 3e3)) + +p <- gggenomes(seqs=s0) + + geom_seq(aes(color=bin_id), size=1, arrow = arrow(angle = 30, length = unit(10, "pt"), + ends = "last", type = "open")) + + geom_bin_label() + geom_seq_label() + + expand_limits(color=c("A","B","C")) + +p1 <- p %>% flip_seqs(6) +p2 <- p %>% flip_seqs(c2) +p3 <- p %>% flip_seqs(2, .bins = C) + +p + p1 + p2 + p3 + plot_layout(nrow=1, guides="collect") +``` + +``` {r dpi=36, out.width="720px"} +# fancy flipping using tidyselect::where for dynamic selection +p <- gggenomes(emale_genes,emale_seqs) %>% add_clusters(emale_cogs) + + geom_seq(color="grey70", size=1, arrow = arrow(angle = 30, length = unit(15, "pt"), + ends = "last", type = "open")) + + geom_gene(aes(fill=cluster_id)) + +# flip all short seqs - where() applied to .bin_track=seqs +p1 <- p %>% flip(where(~.x$length < 21000)) + +# flip all seqs with MCP on "-" - where() applied to .bin_track=genes +p2 <- p %>% flip(where(~any(.x$strand[.x$cluster_id %in% "cog-MCP"] == "-")), .bin_track=genes) + +p + p1 + p2 + plot_layout(nrow=1, guides="collect") & theme(legend.position = "bottom") +``` \ No newline at end of file From 57eae4fd0e673554c561fd9f0c4493c391ca6168 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Wed, 19 Jun 2024 16:39:12 +0200 Subject: [PATCH 16/25] Ignore pkgdown cache --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 49b8d08..eb04f56 100644 --- a/.gitignore +++ b/.gitignore @@ -12,3 +12,4 @@ vignettes-manual-export/ gggenomes.Rcheck .vscode gggenomes_*.tar.gz +vignettes/gggenomes_cache From 44d21709f9a08879e7214c2abe699bb9ebf88f57 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Fri, 21 Jun 2024 16:26:52 +0200 Subject: [PATCH 17/25] Add packages into quotes, fix spelling --- DESCRIPTION | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index e7235da..e9a6c33 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -6,11 +6,11 @@ Authors@R: c( person("Markus J.", "Ankenbrand", email = "iimog@iimog.org", role = c("aut")), person("Bart", "van Adrichem", role = c("aut")), person("Kristina", "Haslinger", email = "k.haslinger@rug.nl", role = c("ctb", "sad"))) -Description: An extension of ggplot2 for creating complex genomic - maps. It builds on the power of ggplot2 and tidyverse adding new ggplot-style - geoms & positions and dplyr-style verbs to manipulate the underlying data. It - implements a layout concept inspired by ggraph and introduces tracks to bring - tidyness to the mess that is genomics data. +Description: An extension of 'ggplot2' for creating complex genomic + maps. It builds on the power of 'ggplot2' and 'tidyverse' adding new 'ggplot2'-style + 'geoms' & positions and 'dplyr'-style verbs to manipulate the underlying data. It + implements a layout concept inspired by 'ggraph' and introduces tracks to bring + tidiness to the mess that is genomics data. License: MIT + file LICENSE URL: https://github.com/thackl/gggenomes BugReports: https://github.com/thackl/gggenomes/issues From e184701769b251e7479f1a07ef97df7e440c0dc3 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Tue, 25 Jun 2024 11:16:13 +0200 Subject: [PATCH 18/25] Wrap error producing code in try rather than \dontrun --- R/pick.R | 133 +++++++++++++++++++++++++++++----------------------- man/pick.Rd | 53 +++++++++++---------- 2 files changed, 102 insertions(+), 84 deletions(-) diff --git a/R/pick.R b/R/pick.R index 34790f0..5b1a172 100644 --- a/R/pick.R +++ b/R/pick.R @@ -12,13 +12,14 @@ #' `pick_seqs(1, .bins=3)` will pick the first sequence from the third bin. #' @examples #' s0 <- tibble::tibble( -#' bin_id = c("A", "B", "B", "B", "C", "C", "C"), -#' seq_id = c("a1","b1","b2","b3","c1","c2","c3"), -#' length = c(1e4, 6e3, 2e3, 1e3, 3e3, 3e3, 3e3)) +#' bin_id = c("A", "B", "B", "B", "C", "C", "C"), +#' seq_id = c("a1", "b1", "b2", "b3", "c1", "c2", "c3"), +#' length = c(1e4, 6e3, 2e3, 1e3, 3e3, 3e3, 3e3) +#' ) #' -#' p <- gggenomes(seqs=s0) + geom_seq(aes(color=bin_id), size=3) + +#' p <- gggenomes(seqs = s0) + geom_seq(aes(color = bin_id), size = 3) + #' geom_bin_label() + geom_seq_label() + -#' expand_limits(color=c("A","B","C")) +#' expand_limits(color = c("A", "B", "C")) #' p #' #' # remove @@ -34,63 +35,65 @@ #' p %>% pick_seqs(1, c3) #' #' # pick with .bin scope -#' p %>% pick_seqs(3:1, .bins=C) +#' p %>% pick_seqs(3:1, .bins = C) #' #' # change seqs in some bins, but keep rest as is -#' p %>% pick_seqs_within(3:1, .bins=B) +#' p %>% pick_seqs_within(3:1, .bins = B) #' #' # same w/o scope, unaffected bins remain as is #' p %>% pick_seqs_within(b3, b2, b1) #' #' # Align sequences with and plot next to a phylogenetic tree -#' library(patchwork) # arrange multiple plots -#' library(ggtree) # plot phylogenetic trees +#' library(patchwork) # arrange multiple plots +#' library(ggtree) # plot phylogenetic trees #' #' # load and plot a phylogenetic tree #' emale_mcp_tree <- read.tree(ex("emales/emales-MCP.nwk")) -#' t <- ggtree(emale_mcp_tree) + geom_tiplab(align=TRUE, size=3) + -#' xlim(0,0.05) # make room for labels +#' t <- ggtree(emale_mcp_tree) + geom_tiplab(align = TRUE, size = 3) + +#' xlim(0, 0.05) # make room for labels #' -#' p <- gggenomes(seqs=emale_seqs, genes=emale_genes) + +#' p <- gggenomes(seqs = emale_seqs, genes = emale_genes) + #' geom_seq() + geom_seq() + geom_bin_label() #' #' # plot next to each other, but with #' # different order in tree and genomes -#' t + p + plot_layout(widths = c(1,5)) +#' t + p + plot_layout(widths = c(1, 5)) #' #' # reorder genomes to match tree order #' # with a warning caused by mismatch in y-scale expansions -#' t + p %>% pick_by_tree(t) + plot_layout(widths = c(1,5)) +#' t + p %>% pick_by_tree(t) + plot_layout(widths = c(1, 5)) #' #' # extra genomes are dropped with a notification #' emale_seqs_more <- emale_seqs -#' emale_seqs_more[7,] <- emale_seqs_more[6,] +#' emale_seqs_more[7, ] <- emale_seqs_more[6, ] #' emale_seqs_more$seq_id[7] <- "One more genome" -#' p <- gggenomes(seqs=emale_seqs_more, genes=emale_genes) + +#' p <- gggenomes(seqs = emale_seqs_more, genes = emale_genes) + #' geom_seq() + geom_seq() + geom_bin_label() -#' t + p %>% pick_by_tree(t) + plot_layout(widths = c(1,5)) +#' t + p %>% pick_by_tree(t) + plot_layout(widths = c(1, 5)) #' -#' \dontrun{ -#' # no shared ids will cause an error -#' p <- gggenomes(seqs=tibble::tibble(seq_id = "foo", length=1)) + +#' try({ +#' # no shared ids will cause an error +#' p <- gggenomes(seqs = tibble::tibble(seq_id = "foo", length = 1)) + #' geom_seq() + geom_seq() + geom_bin_label() -#' t + p %>% pick_by_tree(t) + plot_layout(widths = c(1,5)) +#' t + p %>% pick_by_tree(t) + plot_layout(widths = c(1, 5)) #' -#' # extra leafs in tree will cause an error -#' emale_seqs_fewer <- slice_head(emale_seqs, n=4) -#' p <- gggenomes(seqs=emale_seqs_fewer, genes=emale_genes) + +#' # extra leafs in tree will cause an error +#' emale_seqs_fewer <- slice_head(emale_seqs, n = 4) +#' p <- gggenomes(seqs = emale_seqs_fewer, genes = emale_genes) + #' geom_seq() + geom_seq() + geom_bin_label() -#' t + p %>% pick_by_tree(t) + plot_layout(widths = c(1,5)) -#' } +#' t + p %>% pick_by_tree(t) + plot_layout(widths = c(1, 5)) +#' }) #' #' @describeIn pick pick bins by bin_id, positional argument (start at top) #' or select-helper. #' @param x gggenomes object #' @param ... bins/seqs to pick, select-like expression. #' @export -pick <- function(x, ...){ - if(!has_dots()) return(x) - pick_impl(x, .bins=c(...)) +pick <- function(x, ...) { + if (!has_dots()) { + return(x) + } + pick_impl(x, .bins = c(...)) } #' @describeIn pick pick individual seqs seq_id, positional argument (start at @@ -98,9 +101,11 @@ pick <- function(x, ...){ #' @param .bins scope for positional arguments, select-like expression, enclose #' multiple arguments with `c()`!. #' @export -pick_seqs <- function(x, ..., .bins=everything()){ - if(!has_dots()) return(x) - pick_impl(x, ..., .bins = {{ .bins }}, .seqs_within=FALSE) +pick_seqs <- function(x, ..., .bins = everything()) { + if (!has_dots()) { + return(x) + } + pick_impl(x, ..., .bins = {{ .bins }}, .seqs_within = FALSE) } #' @describeIn pick pick individual seqs but only modify bins containing those @@ -108,70 +113,82 @@ pick_seqs <- function(x, ..., .bins=everything()){ #' @param .bins scope for positional arguments, select-like expression, enclose #' multiple arguments with `c()`! #' @export -pick_seqs_within <- function(x, ..., .bins=everything()){ - if(!has_dots()) return(x) - pick_impl(x, ..., .bins = {{ .bins }}, .seqs_within=TRUE) +pick_seqs_within <- function(x, ..., .bins = everything()) { + if (!has_dots()) { + return(x) + } + pick_impl(x, ..., .bins = {{ .bins }}, .seqs_within = TRUE) } #' @describeIn pick align bins with the leaves in a given phylogenetic tree. #' @param tree a phylogenetic tree in [ggtree::ggtree] or [`ape::ape-package`]-"phylo" format. #' @param infer_bin_id an expression to extract bin_ids from the tree data. #' @export -pick_by_tree <- function(x, tree, infer_bin_id = .data$label){ +pick_by_tree <- function(x, tree, infer_bin_id = .data$label) { if (!requireNamespace("ggtree", quietly = TRUE)) { abort("ggtree must be installed to use this function") } - if(inherits(tree, "phylo")) tree <- ggtree::ggtree(tree) - tree_ids <- tree$data %>% filter(.data$isTip) %>% arrange(-.data$y) %>% - transmute(bin_id = {{ infer_bin_id }}) %>% pull(.data$bin_id) + if (inherits(tree, "phylo")) tree <- ggtree::ggtree(tree) + tree_ids <- tree$data %>% + filter(.data$isTip) %>% + arrange(-.data$y) %>% + transmute(bin_id = {{ infer_bin_id }}) %>% + pull(.data$bin_id) # check ID matches bin_ids <- get_seqs(x)$bin_id tree_in_bins <- tree_ids %in% bin_ids bins_in_tree <- bin_ids %in% tree_ids - if(!any(tree_in_bins)){ + if (!any(tree_in_bins)) { abort("No shared bin_ids between tree and genomes. Check your IDs.") } - if(!all(tree_in_bins)){ - abort(c("Some bin_ids only exist in the tree. Please drop those first.", - str_glue("{tree_ids[!tree_in_bins]}"))) + if (!all(tree_in_bins)) { + abort(c( + "Some bin_ids only exist in the tree. Please drop those first.", + str_glue("{tree_ids[!tree_in_bins]}") + )) } - if(any(!bins_in_tree)){ - inform(c("Some bin_ids are missing in the tree, will drop those from genomes.", - str_glue("{bin_ids[!bins_in_tree]}"))) + if (any(!bins_in_tree)) { + inform(c( + "Some bin_ids are missing in the tree, will drop those from genomes.", + str_glue("{bin_ids[!bins_in_tree]}") + )) } # check if y scales have matching expansions tree_exp <- tree$scales$scales[[1]]$expand %||% NA bins_exp <- x$scales$scales[[1]]$expand %||% NA - if(!isTRUE(all(tree_exp == bins_exp))){ - warn(c(str_glue( - "Tree and genomes have different y-scale expansions.", - " This can cause slight misalignments of leaves and sequences.", - "\nConsider adding `+ scale_y_continuous(expand=c({comma(bins_exp)}))`", - " to the tree as a fix"), + if (!isTRUE(all(tree_exp == bins_exp))) { + warn(c( + str_glue( + "Tree and genomes have different y-scale expansions.", + " This can cause slight misalignments of leaves and sequences.", + "\nConsider adding `+ scale_y_continuous(expand=c({comma(bins_exp)}))`", + " to the tree as a fix" + ), str_glue("tree: {comma(tree_exp)}"), - str_glue("bins: {comma(bins_exp)}"))) + str_glue("bins: {comma(bins_exp)}") + )) } pick(x, all_of(tree_ids)) } -pick_impl <- function(x, ..., .bins=everything(), .seqs_within=FALSE){ +pick_impl <- function(x, ..., .bins = everything(), .seqs_within = FALSE) { # split by bin_id and select bins s <- get_seqs(x) l <- s %>% split_by(.data$bin_id) i <- tidyselect::eval_select(expr({{ .bins }}), l) - if(length(i) == 0) rlang::abort("no bins selected") + if (length(i) == 0) rlang::abort("no bins selected") s <- bind_rows(l[i]) # pick seqs from bins - if(has_dots()){ + if (has_dots()) { seq_ids <- s$seq_id %>% set_names(.) j <- tidyselect::eval_select(expr(c(...)), seq_ids) - s <- s[j,] - if(isTRUE(.seqs_within)){ # splice modified bins into rest + s <- s[j, ] + if (isTRUE(.seqs_within)) { # splice modified bins into rest m <- s %>% split_by(.data$bin_id) l[names(m)] <- m s <- bind_rows(l) diff --git a/man/pick.Rd b/man/pick.Rd index 5d7c7a5..b464eb0 100644 --- a/man/pick.Rd +++ b/man/pick.Rd @@ -55,13 +55,14 @@ seqs, keep rest as is. }} \examples{ s0 <- tibble::tibble( -bin_id = c("A", "B", "B", "B", "C", "C", "C"), -seq_id = c("a1","b1","b2","b3","c1","c2","c3"), -length = c(1e4, 6e3, 2e3, 1e3, 3e3, 3e3, 3e3)) + bin_id = c("A", "B", "B", "B", "C", "C", "C"), + seq_id = c("a1", "b1", "b2", "b3", "c1", "c2", "c3"), + length = c(1e4, 6e3, 2e3, 1e3, 3e3, 3e3, 3e3) +) -p <- gggenomes(seqs=s0) + geom_seq(aes(color=bin_id), size=3) + +p <- gggenomes(seqs = s0) + geom_seq(aes(color = bin_id), size = 3) + geom_bin_label() + geom_seq_label() + - expand_limits(color=c("A","B","C")) + expand_limits(color = c("A", "B", "C")) p # remove @@ -77,53 +78,53 @@ p \%>\% pick(starts_with("B")) p \%>\% pick_seqs(1, c3) # pick with .bin scope -p \%>\% pick_seqs(3:1, .bins=C) +p \%>\% pick_seqs(3:1, .bins = C) # change seqs in some bins, but keep rest as is -p \%>\% pick_seqs_within(3:1, .bins=B) +p \%>\% pick_seqs_within(3:1, .bins = B) # same w/o scope, unaffected bins remain as is p \%>\% pick_seqs_within(b3, b2, b1) # Align sequences with and plot next to a phylogenetic tree -library(patchwork) # arrange multiple plots -library(ggtree) # plot phylogenetic trees +library(patchwork) # arrange multiple plots +library(ggtree) # plot phylogenetic trees # load and plot a phylogenetic tree emale_mcp_tree <- read.tree(ex("emales/emales-MCP.nwk")) -t <- ggtree(emale_mcp_tree) + geom_tiplab(align=TRUE, size=3) + - xlim(0,0.05) # make room for labels +t <- ggtree(emale_mcp_tree) + geom_tiplab(align = TRUE, size = 3) + + xlim(0, 0.05) # make room for labels -p <- gggenomes(seqs=emale_seqs, genes=emale_genes) + +p <- gggenomes(seqs = emale_seqs, genes = emale_genes) + geom_seq() + geom_seq() + geom_bin_label() # plot next to each other, but with # different order in tree and genomes -t + p + plot_layout(widths = c(1,5)) +t + p + plot_layout(widths = c(1, 5)) # reorder genomes to match tree order # with a warning caused by mismatch in y-scale expansions -t + p \%>\% pick_by_tree(t) + plot_layout(widths = c(1,5)) +t + p \%>\% pick_by_tree(t) + plot_layout(widths = c(1, 5)) # extra genomes are dropped with a notification emale_seqs_more <- emale_seqs -emale_seqs_more[7,] <- emale_seqs_more[6,] +emale_seqs_more[7, ] <- emale_seqs_more[6, ] emale_seqs_more$seq_id[7] <- "One more genome" -p <- gggenomes(seqs=emale_seqs_more, genes=emale_genes) + +p <- gggenomes(seqs = emale_seqs_more, genes = emale_genes) + geom_seq() + geom_seq() + geom_bin_label() -t + p \%>\% pick_by_tree(t) + plot_layout(widths = c(1,5)) +t + p \%>\% pick_by_tree(t) + plot_layout(widths = c(1, 5)) -\dontrun{ -# no shared ids will cause an error - p <- gggenomes(seqs=tibble::tibble(seq_id = "foo", length=1)) + +try({ + # no shared ids will cause an error + p <- gggenomes(seqs = tibble::tibble(seq_id = "foo", length = 1)) + geom_seq() + geom_seq() + geom_bin_label() - t + p \%>\% pick_by_tree(t) + plot_layout(widths = c(1,5)) + t + p \%>\% pick_by_tree(t) + plot_layout(widths = c(1, 5)) -# extra leafs in tree will cause an error - emale_seqs_fewer <- slice_head(emale_seqs, n=4) - p <- gggenomes(seqs=emale_seqs_fewer, genes=emale_genes) + + # extra leafs in tree will cause an error + emale_seqs_fewer <- slice_head(emale_seqs, n = 4) + p <- gggenomes(seqs = emale_seqs_fewer, genes = emale_genes) + geom_seq() + geom_seq() + geom_bin_label() - t + p \%>\% pick_by_tree(t) + plot_layout(widths = c(1,5)) -} + t + p \%>\% pick_by_tree(t) + plot_layout(widths = c(1, 5)) +}) } From 18af1ae30482853fff503259b2a9d3e41db20ad0 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Tue, 25 Jun 2024 12:39:49 +0200 Subject: [PATCH 19/25] Fix write_gff3 and activate example with tempfile --- R/write.R | 89 ++++++++++++++++++++++++++--------------------- man/write_gff3.Rd | 5 ++- 2 files changed, 51 insertions(+), 43 deletions(-) diff --git a/R/write.R b/R/write.R index 88bfd25..4f3f2ae 100644 --- a/R/write.R +++ b/R/write.R @@ -16,44 +16,51 @@ #' to internals: `introns, geom_id` #' @param head additional information to add to the header section #' @examples -#' \dontrun{ -#' write_gff3(emale_genes, "emales.gff", emale_seqs, id_var="feat_id") -#' } +#' filename <- tempfile(fileext = ".gff") +#' write_gff3(emale_genes, filename, emale_seqs, id_var = "feat_id") #' @export -write_gff3 <- function(feats, file, seqs=NULL, type=NULL, source=".", score=".", strand=".", phase=".", - id_var="feat_id", parent_var="parent_ids", head="##gff-version 3", ignore_attr=c("introns", "geom_id")){ - if(!is.null(seqs)){ - if(!all(has_name(seqs, c("start", "end")))){ - if(!has_name(seqs, "length")) +write_gff3 <- function( + feats, file, seqs = NULL, type = NULL, source = ".", score = ".", strand = ".", phase = ".", + id_var = "feat_id", parent_var = "parent_ids", head = "##gff-version 3", ignore_attr = c("introns", "geom_id")) { + if (!is.null(seqs)) { + if (!all(has_name(seqs, c("start", "end")))) { + if (!has_name(seqs, "length")) { rlang::abort("eigher start/end or length required") + } seqs <- mutate(seqs, start = 1, end = length) } - seqs <- mutate(seqs, directive="##sequence-region", end=end-start+1, start=start-start+1) %>% - select(.data$directive, .data$seq_id, .data$start, .data$end) %>% unite(.data$seq_reg, 1:4, sep=" ") + seqs <- mutate(seqs, directive = "##sequence-region", end = .data$end - .data$start + 1, start = .data$start - .data$start + 1) %>% + select("directive", "seq_id", "start", "end") %>% + unite("seq_reg", 1:4, sep = " ") } require_vars(feats, c("seq_id", "start", "end")) - if(!has_name(feats, "type")){ - if(is.null(type)) rlang::abort("type required") + if (!has_name(feats, "type")) { + if (is.null(type)) rlang::abort("type required") feats$type <- type } - if(!has_name(feats, "score")) feats$score <- score - if(!has_name(feats, "phase")) feats$phase <- phase - if(!has_name(feats, "source")) feats$source <- source - if(!has_name(feats, "strand")) feats$strand <- strand - else feats$strand <- strand_chr(feats$strand, na=".") + if (!has_name(feats, "score")) feats$score <- score + if (!has_name(feats, "phase")) feats$phase <- phase + if (!has_name(feats, "source")) feats$source <- source + if (!has_name(feats, "strand")) { + feats$strand <- strand + } else { + feats$strand <- strand_chr(feats$strand, na = ".") + } # arrange so that predefined gff attributes come first and in fixed order - if(id_var %in% names(feats)){ + if (id_var %in% names(feats)) { names(feats)[names(feats) == id_var] <- "ID" id_tag <- "ID" - }else{ + } else { id_tag <- NULL rlang::warn(paste("No ID variable detected. An ID tag is not required, but recommended.", - "Use `id_var` to specify an ID column with a different name", sep="\n")) + "Use `id_var` to specify an ID column with a different name", + sep = "\n" + )) } - if(parent_var %in% names(feats)){ + if (parent_var %in% names(feats)) { names(feats)[names(feats) == parent_var] <- "Parent" } @@ -64,13 +71,13 @@ write_gff3 <- function(feats, file, seqs=NULL, type=NULL, source=".", score=".", feats <- unchop_cds(feats) feats <- select(feats, -all_of(ignore_attr)) feats <- feats %>% mutate( - across(all_of(gff3_cols), ~replace_na(.x, ".")), - across(where(is_list), function(l) purrr::map_chr(l, stringr::str_c, collapse=",")) + across(all_of(gff3_cols), ~ replace_na(.x, ".")), + across(where(is_list), function(l) purrr::map_chr(l, stringr::str_c, collapse = ",")) ) attr <- setdiff(names(feats), c(gff3_cols, id_tag)) - if(!is.null(id_tag) || length(attr)){ + if (!is.null(id_tag) || length(attr)) { # convert attributes tags to title case, gff convention attr_predef <- attr[na.omit(match(gff3_attr, str_to_title(attr)))] attr_predef_ii <- names(feats) %in% attr_predef @@ -78,33 +85,35 @@ write_gff3 <- function(feats, file, seqs=NULL, type=NULL, source=".", score=".", attr_custom <- setdiff(attr, attr_predef) attr <- c(id_tag, str_to_title(attr_predef), attr_custom) - for(att in attr){ + for (att in attr) { feats[[att]] <- ifelse( is.na(feats[[att]]) | !length(feats[[att]]), - NA, paste0(att, "=", feats[[att]])) + NA, paste0(att, "=", feats[[att]]) + ) } - feats <- unite(feats, "attr", all_of(attr), sep=";", na.rm=TRUE) - body <- feats[,c(gff3_cols, "attr")] - }else{ - body <- feats[,gff3_cols] + feats <- unite(feats, "attr", all_of(attr), sep = ";", na.rm = TRUE) + body <- feats[, c(gff3_cols, "attr")] + } else { + body <- feats[, gff3_cols] } write(head, file) - if(!is.null(seqs)) readr::write_tsv(seqs, file, append=T, col_names=F, quote="none", escape="none") - readr::write_tsv(body, file, append=T, col_names=F, quote="none", escape="none") + if (!is.null(seqs)) readr::write_tsv(seqs, file, append = T, col_names = F, quote = "none", escape = "none") + readr::write_tsv(body, file, append = T, col_names = F, quote = "none", escape = "none") } -unchop_cds <- function(x){ +unchop_cds <- function(x) { # expand collapsed CDS from start/end/introns to starts/ends list cols - coords <- purrr::pmap_df(x, function(type, start, end, introns, ...){ - if(!type %in% c("CDS", "cDNA_match")){ - tibble(start=list(start), end=list(end)) - }else{ - se <- c(start, start+introns-c(2,0), end) + coords <- purrr::pmap_df(x, function(type, start, end, introns, ...) { + if (!type %in% c("CDS", "cDNA_match")) { + tibble(start = list(start), end = list(end)) + } else { + se <- c(start, start + introns - c(2, 0), end) tibble( - start=list(se[c(TRUE, FALSE)]), - end=list(se[c(FALSE, TRUE)])) + start = list(se[c(TRUE, FALSE)]), + end = list(se[c(FALSE, TRUE)]) + ) } }) diff --git a/man/write_gff3.Rd b/man/write_gff3.Rd index 491b02b..1878a5c 100644 --- a/man/write_gff3.Rd +++ b/man/write_gff3.Rd @@ -50,7 +50,6 @@ to internals: \verb{introns, geom_id}} Write a gff3 file from a tidy table } \examples{ -\dontrun{ -write_gff3(emale_genes, "emales.gff", emale_seqs, id_var="feat_id") -} +filename <- tempfile(fileext = ".gff") +write_gff3(emale_genes, filename, emale_seqs, id_var = "feat_id") } From 257a03b28a9e73dfe9bb9bcfe309ee50444e4336 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Tue, 25 Jun 2024 12:46:37 +0200 Subject: [PATCH 20/25] Make remote read_feats example donttest instead of dontrun --- R/read_feats.R | 62 ++++++++++++++++++++++++++-------------------- man/read_tracks.Rd | 21 +++++++++------- man/swap_query.Rd | 4 +-- 3 files changed, 49 insertions(+), 38 deletions(-) diff --git a/R/read_feats.R b/R/read_feats.R index d06077c..535d18f 100644 --- a/R/read_feats.R +++ b/R/read_feats.R @@ -7,46 +7,49 @@ #' #' #' # read all gff files from a directory -#' read_feats(list.files(ex("emales/"), "*.gff$", full.names=TRUE)) +#' read_feats(list.files(ex("emales/"), "*.gff$", full.names = TRUE)) #' #' #' # read remote files -#' \dontrun{ +#' \donttest{ #' gbk_phages <- c( -#' PSSP7 = paste0("ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/", -#' "000/858/745/GCF_000858745.1_ViralProj15134/", -#' "GCF_000858745.1_ViralProj15134_genomic.gff.gz") -#' PSSP3 = paste0("ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/", -#' "000/904/555/GCF_000904555.1_ViralProj195517/", -#' "GCF_000904555.1_ViralProj195517_genomic.gff.gz") +#' PSSP7 = paste0( +#' "ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/", +#' "000/858/745/GCF_000858745.1_ViralProj15134/", +#' "GCF_000858745.1_ViralProj15134_genomic.gff.gz" +#' ), +#' PSSP3 = paste0( +#' "ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/", +#' "000/904/555/GCF_000904555.1_ViralProj195517/", +#' "GCF_000904555.1_ViralProj195517_genomic.gff.gz" +#' ) #' ) #' read_feats(gbk_phages) #' } #' -#' -read_feats <- function(files, .id="file_id", format=NULL, parser=NULL, ...){ - read_context(files, "feats", .id=.id, format=format, parser=parser, ...) +read_feats <- function(files, .id = "file_id", format = NULL, parser = NULL, ...) { + read_context(files, "feats", .id = .id, format = format, parser = parser, ...) } #' @export #' @describeIn read_tracks read files as subfeatures mapping onto other features -read_subfeats <- function(files, .id="file_id", format=NULL, parser=NULL, ...){ - feats <- read_context(files, "feats", .id=.id, format=format, parser=parser, ...) - rename(feats, feat_id=.data$seq_id, feat_id2=.data$seq_id2) +read_subfeats <- function(files, .id = "file_id", format = NULL, parser = NULL, ...) { + feats <- read_context(files, "feats", .id = .id, format = format, parser = parser, ...) + rename(feats, feat_id = .data$seq_id, feat_id2 = .data$seq_id2) } #' @export #' @describeIn read_tracks read files as links connecting sequences -read_links <- function(files, .id="file_id", format=NULL, parser=NULL, ...){ - feats <- read_context(files, "links", .id=.id, format=format, parser=parser, ...) - rename(feats, seq_id=.data$seq_id, start=.data$start, end=.data$end) +read_links <- function(files, .id = "file_id", format = NULL, parser = NULL, ...) { + feats <- read_context(files, "links", .id = .id, format = format, parser = parser, ...) + rename(feats, seq_id = .data$seq_id, start = .data$start, end = .data$end) } #' @export #' @describeIn read_tracks read files as sublinks connecting features -read_sublinks <- function(files, .id="file_id", format=NULL, parser=NULL, ...){ - feats <- read_context(files, "links", .id=.id, format=format, parser=parser, ...) - rename(feats, feat_id=.data$seq_id, start=.data$start, end=.data$end, feat_id2=.data$seq_id2) +read_sublinks <- function(files, .id = "file_id", format = NULL, parser = NULL, ...) { + feats <- read_context(files, "links", .id = .id, format = format, parser = parser, ...) + rename(feats, feat_id = .data$seq_id, start = .data$start, end = .data$end, feat_id2 = .data$seq_id2) } #' Swap query and subject in blast-like feature tables @@ -60,23 +63,28 @@ read_sublinks <- function(files, .id="file_id", format=NULL, parser=NULL, ...){ #' @return tibble with swapped query/subject columns #' @examples #' feats <- tibble::tribble( -#' ~seq_id, ~seq_id2, ~start, ~end, ~strand, ~start2, ~end2, ~evalue, -#' "A", "B", 100, 200, "+", 10000, 10200, 1e-5 +#' ~seq_id, ~seq_id2, ~start, ~end, ~strand, ~start2, ~end2, ~evalue, +#' "A", "B", 100, 200, "+", 10000, 10200, 1e-5 #' ) #' # make B the query #' swap_query(feats) -swap_query <- function(x){ +swap_query <- function(x) { # for every pair seq_id/seq_id2, name/name2 > name2/name n <- names(x) - m <- str_subset(n, "\\D2") %>% stringr::str_remove("2$") %>% intersect(n) - if(!length(m)) + m <- str_subset(n, "\\D2") %>% + stringr::str_remove("2$") %>% + intersect(n) + if (!length(m)) { return(x) + } m2 <- paste0(m, "2") i <- which(n %in% m) i2 <- which(n %in% m2) - inform(c("Swapping query/subject-associated columns", - comma(m, collapse=' '), comma(m2, collapse=' '))) + inform(c( + "Swapping query/subject-associated columns", + comma(m, collapse = " "), comma(m2, collapse = " ") + )) x[c(i, i2)] <- x[c(i2, i)] x } diff --git a/man/read_tracks.Rd b/man/read_tracks.Rd index e604f1c..07bbf16 100644 --- a/man/read_tracks.Rd +++ b/man/read_tracks.Rd @@ -81,23 +81,26 @@ read_feats(ex("eden-utr.gff")) # read all gff files from a directory -read_feats(list.files(ex("emales/"), "*.gff$", full.names=TRUE)) +read_feats(list.files(ex("emales/"), "*.gff$", full.names = TRUE)) # read remote files -\dontrun{ +\donttest{ gbk_phages <- c( - PSSP7 = paste0("ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/", - "000/858/745/GCF_000858745.1_ViralProj15134/", - "GCF_000858745.1_ViralProj15134_genomic.gff.gz") - PSSP3 = paste0("ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/", - "000/904/555/GCF_000904555.1_ViralProj195517/", - "GCF_000904555.1_ViralProj195517_genomic.gff.gz") + PSSP7 = paste0( + "ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/", + "000/858/745/GCF_000858745.1_ViralProj15134/", + "GCF_000858745.1_ViralProj15134_genomic.gff.gz" + ), + PSSP3 = paste0( + "ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/", + "000/904/555/GCF_000904555.1_ViralProj195517/", + "GCF_000904555.1_ViralProj195517_genomic.gff.gz" + ) ) read_feats(gbk_phages) } - # read sequences from a fasta file. read_seqs(ex("emales/emales.fna"), parse_desc=FALSE) diff --git a/man/swap_query.Rd b/man/swap_query.Rd index 60f90f3..e0f7504 100644 --- a/man/swap_query.Rd +++ b/man/swap_query.Rd @@ -19,8 +19,8 @@ name/name2, such as 'seq_id/seq_id2', 'start/start2', ... } \examples{ feats <- tibble::tribble( - ~seq_id, ~seq_id2, ~start, ~end, ~strand, ~start2, ~end2, ~evalue, - "A", "B", 100, 200, "+", 10000, 10200, 1e-5 + ~seq_id, ~seq_id2, ~start, ~end, ~strand, ~start2, ~end2, ~evalue, + "A", "B", 100, 200, "+", 10000, 10200, 1e-5 ) # make B the query swap_query(feats) From d856c5d6014e9bab57bbd68590a3f3f7a29a73cc Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Tue, 25 Jun 2024 13:14:56 +0200 Subject: [PATCH 21/25] Remove quote for geom quotes are for package names only --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index e9a6c33..8315f88 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -8,7 +8,7 @@ Authors@R: c( person("Kristina", "Haslinger", email = "k.haslinger@rug.nl", role = c("ctb", "sad"))) Description: An extension of 'ggplot2' for creating complex genomic maps. It builds on the power of 'ggplot2' and 'tidyverse' adding new 'ggplot2'-style - 'geoms' & positions and 'dplyr'-style verbs to manipulate the underlying data. It + geoms & positions and 'dplyr'-style verbs to manipulate the underlying data. It implements a layout concept inspired by 'ggraph' and introduces tracks to bring tidiness to the mess that is genomics data. License: MIT + file LICENSE From 5dbeffcfc2598c9c05383ba6452fe731b17174b7 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Tue, 25 Jun 2024 14:21:11 +0200 Subject: [PATCH 22/25] Fix missing \value tags in Rd files Instances found using checkhelper::find_missing_tags() Automatic formatting applied --- NAMESPACE | 8 ++ R/aaa.R | 45 +++--- R/coords.R | 15 +- R/feats.R | 99 +++++++------ R/focus.R | 2 + R/geom.R | 268 +++++++++++++++++++---------------- R/geom_coverage.R | 1 + R/geom_feat.R | 1 + R/geom_gene.R | 2 + R/geom_gene_text.R | 6 + R/geom_link.R | 59 ++++---- R/geom_seq_break.R | 35 ++--- R/geom_variant.R | 198 ++++++++++++++------------ R/gggenomes.R | 166 ++++++++++++---------- R/links.R | 127 ++++++++++------- R/pick.R | 4 + R/position_strandpile.R | 147 ++++++++++--------- R/position_variant.R | 110 +++++++------- R/pull_tracks.R | 199 ++++++++++++++------------ R/ranges.R | 56 ++++---- R/read.R | 161 ++++++++++++--------- R/read_blast.R | 17 ++- R/read_feats.R | 4 + R/read_seqs.R | 91 ++++++------ R/read_vcf.R | 92 ++++++------ R/scale_x.R | 32 +++-- R/seqs.R | 115 ++++++++------- R/shift.R | 29 ++-- R/strand.R | 113 ++++++++------- R/synteny_to_link.R | 54 ++++--- R/tracks.R | 98 +++++++------ R/variant_scales.R | 129 +++++++++-------- R/vars.R | 64 +++++---- R/write.R | 1 + man/add_tracks.Rd | 8 +- man/anchor.Rd | 12 -- man/as_seqs.Rd | 5 +- man/as_tracks.Rd | 12 -- man/combine_strands.Rd | 3 + man/comma.Rd | 17 --- man/def_formats.Rd | 4 +- man/def_names.Rd | 2 +- man/drop_feat_layout.Rd | 3 + man/drop_link_layout.Rd | 3 + man/drop_seq_layout.Rd | 3 + man/ex.Rd | 3 + man/file_label.Rd | 15 -- man/flip_strand.Rd | 3 + man/focus.Rd | 5 + man/geom_bin_label.Rd | 17 ++- man/geom_feat.Rd | 3 + man/geom_feat_text.Rd | 13 ++ man/geom_gene.Rd | 3 + man/geom_gene_label.Rd | 3 + man/geom_link.Rd | 20 +-- man/geom_seq.Rd | 53 +++---- man/geom_seq_break.Rd | 13 +- man/geom_seq_label.Rd | 36 ++--- man/geom_variant.Rd | 141 ++++++++++-------- man/geom_wiggle.Rd | 3 + man/get_seqlen.Rd | 15 -- man/gggenomes.Rd | 37 ++--- man/if_reverse.Rd | 3 + man/in_range.Rd | 9 +- man/introduce.Rd | 11 +- man/is_reverse.Rd | 3 + man/layout_feats.Rd | 29 ---- man/layout_links.Rd | 26 ---- man/layout_seqs.Rd | 3 + man/match_arg.Rd | 13 -- man/pick.Rd | 9 ++ man/position_strand.Rd | 21 +-- man/position_variant.Rd | 37 ++--- man/pull_track.Rd | 31 ++-- man/read_blast.Rd | 3 + man/read_context.Rd | 3 + man/read_seq_len.Rd | 5 + man/read_tracks.Rd | 12 +- man/require_vars.Rd | 3 + man/scale_color_variant.Rd | 83 ++++++----- man/scale_x_bp.Rd | 9 +- man/shift.Rd | 13 +- man/split_by.Rd | 5 +- man/swap_if.Rd | 5 +- man/synteny_to_link.Rd | 17 --- man/theme_gggenomes_clean.Rd | 3 + man/track_info.Rd | 7 +- man/track_nrows.Rd | 19 --- man/track_type.Rd | 19 --- man/track_types.Rd | 19 --- man/unnest_exons.Rd | 3 + man/vars_track_error.Rd | 12 -- man/write_gff3.Rd | 3 + man/x.Rd | 12 -- 94 files changed, 1845 insertions(+), 1608 deletions(-) delete mode 100644 man/anchor.Rd delete mode 100644 man/as_tracks.Rd delete mode 100644 man/comma.Rd delete mode 100644 man/file_label.Rd delete mode 100644 man/get_seqlen.Rd delete mode 100644 man/layout_feats.Rd delete mode 100644 man/layout_links.Rd delete mode 100644 man/match_arg.Rd delete mode 100644 man/synteny_to_link.Rd delete mode 100644 man/track_nrows.Rd delete mode 100644 man/track_type.Rd delete mode 100644 man/track_types.Rd delete mode 100644 man/vars_track_error.Rd delete mode 100644 man/x.Rd diff --git a/NAMESPACE b/NAMESPACE index b3dc072..a0e558c 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -117,6 +117,7 @@ export(genes) export(geom_bin_label) export(geom_coverage) export(geom_feat) +export(geom_feat_label) export(geom_feat_note) export(geom_feat_tag) export(geom_feat_text) @@ -126,6 +127,7 @@ export(geom_gene_note) export(geom_gene_tag) export(geom_gene_text) export(geom_link) +export(geom_link_label) export(geom_link_line) export(geom_seq) export(geom_seq_break) @@ -164,6 +166,8 @@ export(qc) export(qw) export(read_alitv) export(read_bed) +export(read_blast) +export(read_context) export(read_fai) export(read_feats) export(read_gbk) @@ -174,6 +178,7 @@ export(read_seq_len) export(read_seqs) export(read_subfeats) export(read_sublinks) +export(read_vcf) export(require_vars) export(scale_color_variant) export(scale_shape_variant) @@ -195,6 +200,9 @@ export(track) export(track_ids) export(track_info) export(unnest_exons) +export(vars_track) +export(width) +export(width0) export(write_gff3) import(dplyr) import(ellipsis) diff --git a/R/aaa.R b/R/aaa.R index 602e4c0..65e93f7 100644 --- a/R/aaa.R +++ b/R/aaa.R @@ -6,18 +6,20 @@ #' TRUE/FALSE vector #' @param ... the two columns bewteen which values are to be swapped in #' dplyr::select-like syntax +#' @return a tibble with conditionally swapped start and end #' @examples -#' x <- tibble::tibble(start = c(10,100), end=c(30, 50)) +#' x <- tibble::tibble(start = c(10, 100), end = c(30, 50)) #' # ensure start of a range is always smaller than the end #' swap_if(x, start > end, start, end) -swap_if <- function(x, condition, ...){ +swap_if <- function(x, condition, ...) { i <- tidyselect::eval_select(rlang::expr(c(...)), x) - if(length(i) != 2 || length(unique(i)) != 2) + if (length(i) != 2 || length(unique(i)) != 2) { rlang::abort("need to select exactly 2 different columns for swapping") + } # eval condition in data context - j <- transmute(x, j = {{condition}})$j + j <- transmute(x, j = {{ condition }})$j # swap - x[j,rev(i)] <- x[j,i] + x[j, rev(i)] <- x[j, i] x } @@ -26,13 +28,15 @@ swap_if <- function(x, condition, ...){ #' @param x vector (coerced to character) #' @param collapse character string to separate elements. #' @keywords internal -comma <- function(x, collapse = ","){ - paste(x, collapse=collapse) +#' @noRd +comma <- function(x, collapse = ",") { + paste(x, collapse = collapse) } #' Get path to gggenomes example files #' @export #' @param file name of example file +#' @return path to example file ex <- function(file = NULL) { if (is.null(file)) { dir(system.file("extdata", package = "gggenomes")) @@ -42,21 +46,23 @@ ex <- function(file = NULL) { } # are there any arguments in ... -has_dots <- function(env = parent.frame()){ +has_dots <- function(env = parent.frame()) { length(ellipsis__dots(env)) > 0 } -shared_names <- function(x, ...){ +shared_names <- function(x, ...) { names <- c(...) names[names %in% names2(x)] } # split a vector of tuples c(a1,b2,a2,b2) into a list of two vectors # list(a=c(a1,a2), b=c(b1,b2)) -vec_unzip <- function(x, names=NULL, ignore_odd=FALSE){ - if(!ignore_odd && length(x)%%2){ - abort(str_glue("Won't unzip a vector of uneven length {(length(x))}\n", - "Disable error with `ignore_odd=TRUE`")) +vec_unzip <- function(x, names = NULL, ignore_odd = FALSE) { + if (!ignore_odd && length(x) %% 2) { + abort(str_glue( + "Won't unzip a vector of uneven length {(length(x))}\n", + "Disable error with `ignore_odd=TRUE`" + )) } i <- c(TRUE, FALSE) @@ -79,14 +85,15 @@ magrittr::`%<>%` #' #' @export #' @param key variable to split by +#' @return a list of tibbles #' @keywords internal #' @examples -#' tibble::tibble(x=c(1,1,1,2), y=c("B", "A", "B", "B"), z="foo") %>% +#' tibble::tibble(x = c(1, 1, 1, 2), y = c("B", "A", "B", "B"), z = "foo") %>% #' split_by(x) -split_by <- function(.data, key){ +split_by <- function(.data, key) { keys <- pull(.data, !!enquo(key)) - if(length(keys) == 0) stop("no keys to index by found\n") + if (length(keys) == 0) stop("no keys to index by found\n") l <- split(.data, keys) l[unique(keys)] @@ -101,7 +108,7 @@ split_by <- function(.data, key){ #' Took inspiration from #' \href{https://stackoverflow.com/questions/520810/does-r-have-quote-like-operators-like-perls-qw}{stackoverflow/qw} #' and \href{https://github.com/jebyrnes/multifunc/blob/master/R/qw.R}{github/Jarrett Byrnes} -#' +#' #' @export #' @param x A single string of elements to be split at whitespace chars. #' @return A vector of quoted words. @@ -120,7 +127,7 @@ qc <- function(...) sapply(match.call()[-1], deparse) # CRAN Workaround for unexported useful tidyverse internals # https://stackoverflow.com/questions/32535773/using-un-exported-function-from-another-r-package ggplot2__ggname <- utils::getFromNamespace("ggname", "ggplot2") -ggplot2__rd_aesthetics <- \(x,y) utils::getFromNamespace("rd_aesthetics", "ggplot2")(x, y) |> stringr::str_replace(stringr::fixed("link[="), "link[ggplot2:") +ggplot2__rd_aesthetics <- \(x, y) utils::getFromNamespace("rd_aesthetics", "ggplot2")(x, y) |> stringr::str_replace(stringr::fixed("link[="), "link[ggplot2:") ggplot2__scales_list <- utils::getFromNamespace("scales_list", "ggplot2") ggplot2__guides_list <- utils::getFromNamespace("guides_list", "ggplot2") ggplot2__make_labels <- utils::getFromNamespace("make_labels", "ggplot2") @@ -134,4 +141,4 @@ purrr__as_mapper.default <- utils::getFromNamespace("as_mapper.default", "purrr" #' @noRd dummy <- function() { ellipsis::safe_median -} \ No newline at end of file +} diff --git a/R/coords.R b/R/coords.R index d78f9c5..6cfaafd 100644 --- a/R/coords.R +++ b/R/coords.R @@ -2,23 +2,26 @@ #' #' Together with the seq strand, this is sufficient to project feats #' @keywords internal -anchor <- function(x, start, strand){ - x - (start-1) * strand_int(strand) +#' @noRd +anchor <- function(x, start, strand) { + x - (start - 1) * strand_int(strand) } #' Project feat coordinates into layout space #' #' space #' @keywords internal -x <- function(start, end, strand, seq_x, seq_start, seq_strand){ +#' @noRd +x <- function(start, end, strand, seq_x, seq_start, seq_strand) { a <- anchor(seq_x, seq_start, seq_strand) - b <- if_reverse(strand, end, start-1) + b <- if_reverse(strand, end, start - 1) a + b * strand_int(seq_strand) } #' @keywords internal -xend <- function(start, end, strand, seq_x, seq_start, seq_strand){ +#' @noRd +xend <- function(start, end, strand, seq_x, seq_start, seq_strand) { a <- anchor(seq_x, seq_start, seq_strand) - b <- if_reverse(strand, start-1, end)#, end + width(start,end)) + b <- if_reverse(strand, start - 1, end) # , end + width(start,end)) a + b * strand_int(seq_strand) } diff --git a/R/feats.R b/R/feats.R index 55b7c4b..aa2e6a0 100644 --- a/R/feats.R +++ b/R/feats.R @@ -19,41 +19,44 @@ #' @return a tbl_df with plot coordinates #' @export #' @keywords internal -as_feats <- function(x, seqs, ..., everything=TRUE){ +as_feats <- function(x, seqs, ..., everything = TRUE) { UseMethod("as_feats") } #' @export -as_feats.default <- function(x, seqs, ..., everything=TRUE) { +as_feats.default <- function(x, seqs, ..., everything = TRUE) { # try to coerce into tbl - as_feats(as_tibble(x), seqs, ..., everything=everything) + as_feats(as_tibble(x), seqs, ..., everything = everything) } #' @export -as_feats.tbl_df <- function(x, seqs, ..., everything=TRUE){ - vars <- c("seq_id","start","end") +as_feats.tbl_df <- function(x, seqs, ..., everything = TRUE) { + vars <- c("seq_id", "start", "end") require_vars(x, vars) # coerce IDs to chars, so we don't get errors in join by mismatched types x <- mutate_at(x, vars("seq_id"), as.character) - if(!any(seqs$seq_id %in% x$seq_id)){ - warn(paste("No matching seq_ids between feats and seqs.", - "Maybe you are trying to add subfeats")) + if (!any(seqs$seq_id %in% x$seq_id)) { + warn(paste( + "No matching seq_ids between feats and seqs.", + "Maybe you are trying to add subfeats" + )) } - other_vars <- if(everything) tidyselect::everything else function() NULL; + other_vars <- if (everything) tidyselect::everything else function() NULL x <- as_tibble(select(x, vars, other_vars())) # TODO: mutate_at - if at all x %<>% mutate_if(is.factor, as.character) # default columns we want to have to make some geoms run smoother - x <- x %>% introduce( - feat_id = paste0("f", seq_len(nrow((x)))), - type = NA, - strand = x$start < x$end - ) %>% - mutate(strand = strand_chr(.data$strand)) + x <- x %>% + introduce( + feat_id = paste0("f", seq_len(nrow((x)))), + type = NA, + strand = x$start < x$end + ) %>% + mutate(strand = strand_chr(.data$strand)) x %<>% swap_if(.data$start > .data$end, .data$start, .data$end) @@ -70,8 +73,10 @@ as_feats.tbl_df <- function(x, seqs, ..., everything=TRUE){ #' them or "trim" them to the subregion boundaries. #' @param ... not used #' @keywords internal -layout_feats <- function(x, seqs, keep="strand", - marginal=c("trim", "drop", "keep"), ...){ +#' @noRd +layout_feats <- function( + x, seqs, keep = "strand", + marginal = c("trim", "drop", "keep"), ...) { marginal <- match.arg(marginal) # get rid of old layout @@ -93,9 +98,10 @@ layout_feats <- function(x, seqs, keep="strand", #' #' @param x feat_layout #' @param keep features to keep +#' @return feat_layout without unwanted features #' @export -drop_feat_layout <- function(x, keep="strand"){ - drop <- c("y","x","xend","strand", grep("^\\.", names(x), value=T)) +drop_feat_layout <- function(x, keep = "strand") { + drop <- c("y", "x", "xend", "strand", grep("^\\.", names(x), value = T)) drop <- drop[!drop %in% keep] purrr::discard(x, names(x) %in% drop) } @@ -105,64 +111,71 @@ drop_feat_layout <- function(x, keep="strand"){ #' @export #' @examples #' # Add some repeat annotations -#' gggenomes(seqs=emale_seqs) %>% -#' add_feats(repeats=emale_tirs) + +#' gggenomes(seqs = emale_seqs) %>% +#' add_feats(repeats = emale_tirs) + #' geom_seq() + geom_feat() -#' -add_feats <- function(x, ...){ +#' +add_feats <- function(x, ...) { UseMethod("add_feats") } #' @export -add_feats.gggenomes <- function(x, ...){ +add_feats.gggenomes <- function(x, ...) { x$data <- add_feats(x$data, ...) x } #' @export -add_feats.gggenomes_layout <- function(x, ...){ - if(!has_dots()) return(x) +add_feats.gggenomes_layout <- function(x, ...) { + if (!has_dots()) { + return(x) + } dot_exprs <- enexprs(...) # defuse before list(...) tracks <- as_tracks(list(...), dot_exprs, track_ids(x)) add_feat_tracks(x, tracks) } -add_feat_tracks <- function(x, tracks){ +add_feat_tracks <- function(x, tracks) { x$feats <- c(x$feats, purrr::map(tracks, as_feats, get_seqs(x))) x } -add_feat_layout_scaffold <- function(x, seqs){ - scaffold <- seqs %>% ungroup() %>% select( - .data$seq_id, .data$bin_id, .data$y, .seq_strand=.data$strand, .seq_x=.data$x, .seq_start=.data$start, .seq_end=.data$end) +add_feat_layout_scaffold <- function(x, seqs) { + scaffold <- seqs %>% + ungroup() %>% + select( + .data$seq_id, .data$bin_id, .data$y, + .seq_strand = .data$strand, .seq_x = .data$x, .seq_start = .data$start, .seq_end = .data$end + ) - inner_join(x, scaffold, by=shared_names(x, "seq_id", "bin_id")) + inner_join(x, scaffold, by = shared_names(x, "seq_id", "bin_id")) } -trim_feats_to_subseqs <- function(x, marginal){ - if(marginal == "drop"){ +trim_feats_to_subseqs <- function(x, marginal) { + if (marginal == "drop") { x <- mutate(x, .marginal = FALSE) - }else{ + } else { x <- mutate(x, .marginal = is_marginal(.data$start, .data$end, .data$.seq_start, .data$.seq_end)) } - if(marginal == "trim"){ + if (marginal == "trim") { x %<>% mutate( start = ifelse(.data$.marginal & .data$start < .data$.seq_start, .data$.seq_start, .data$start), - end = ifelse(.data$.marginal & .data$end > .data$.seq_end, .data$.seq_end, .data$end)) - } # marginals are now also fully contained + end = ifelse(.data$.marginal & .data$end > .data$.seq_end, .data$.seq_end, .data$end) + ) + } # marginals are now also fully contained filter(x, .data$.seq_start <= .data$start & .data$end <= .data$.seq_end | .data$.marginal) } -project_feats <- function(x){ +project_feats <- function(x) { mutate(x, x = x(.data$start, .data$end, .data$strand, .data$.seq_x, .data$.seq_start, .data$.seq_strand), - xend = xend(.data$start, .data$end, .data$strand, .data$.seq_x, .data$.seq_start, .data$.seq_strand)) + xend = xend(.data$start, .data$end, .data$strand, .data$.seq_x, .data$.seq_start, .data$.seq_strand) + ) } -is_marginal <- function(start, end, seq_start, seq_end, closed=FALSE){ - in_range(seq_start, start, end, closed=FALSE) | - in_range(seq_end, start, end, closed=FALSE) +is_marginal <- function(start, end, seq_start, seq_end, closed = FALSE) { + in_range(seq_start, start, end, closed = FALSE) | + in_range(seq_end, start, end, closed = FALSE) } - diff --git a/R/focus.R b/R/focus.R index deb0793..7ccbf16 100644 --- a/R/focus.R +++ b/R/focus.R @@ -44,6 +44,7 @@ #' at least 3 target features. #' @param .loci A data.frame specifying loci directly. Required columns are #' `seq_id,start,end`. Supersedes `...`. +#' @return A gggenomes object focused on the desired loci #' @export #' @examples #' @@ -174,6 +175,7 @@ focus <- function( #' @export #' @param .locus_track The name of the new track containing the identified loci. +#' @return A gggenomes object with the new loci track added #' @describeIn focus Identify regions of interest and add them as new feature track locate <- function(x, ..., .track_id = 2, .max_dist = 10e3, .expand = 5e3, .locus_id = str_glue("{seq_id}_lc{row_number()}"), .locus_id_group = .data$seq_id, diff --git a/R/geom.R b/R/geom.R index e4fce2a..3eb0341 100644 --- a/R/geom.R +++ b/R/geom.R @@ -1,23 +1,23 @@ #' draw seqs #' -#' @description -#' `geom_seq()` draws contigs for each sequence/chromosome supplied in the `seqs` track. +#' @description +#' `geom_seq()` draws contigs for each sequence/chromosome supplied in the `seqs` track. #' Several sequences belonging to the same bin will be plotted next to one another. -#' +#' #' If `seqs` track is empty, sequences are inferred from the `feats` or `links` track respectively. -#' +#' #' (*The length of sequences can be deduced from the axis and is typically indicated in base pairs.*) #' #' @details -#' `geom_seq()` uses `ggplot2::geom_segment()` under the hood. As a result, -#' different aesthetics such as *alpha*, *linewidth*, *color*, etc. +#' `geom_seq()` uses `ggplot2::geom_segment()` under the hood. As a result, +#' different aesthetics such as *alpha*, *linewidth*, *color*, etc. #' can be called upon to modify the visualization of the data. -#' +#' #' Note: The `seqs` track indicates the length/region of the sequence/contigs that will be plotted. #' *Feats* or *links* data that falls outside of this region are ignored! -#' @returns Sequence data drawn as contigs is added as a layer/component to the plot. -#' -#' @param data seq_layout: Uses the first data frame stored in the `seqs` track, by default. +#' @return Sequence data drawn as contigs is added as a layer/component to the plot. +#' +#' @param data seq_layout: Uses the first data frame stored in the `seqs` track, by default. #' @param arrow set to non-NULL to generate default arrows #' @inheritParams ggplot2::geom_segment #' @importFrom ggplot2 geom_segment @@ -25,60 +25,62 @@ #' @examples #' # Simple example of geom_seq #' gggenomes(seqs = emale_seqs) + -#' geom_seq() + #creates contigs -#' geom_bin_label() #labels bins/sequences +#' geom_seq() + # creates contigs +#' geom_bin_label() # labels bins/sequences #' #' # No sequence information supplied, will inform/warn that seqs are inferred from feats. #' gggenomes(genes = emale_genes) + -#' geom_seq() + #creates contigs -#' geom_gene() + #draws genes on top of contigs -#' geom_bin_label() #labels bins/sequences +#' geom_seq() + # creates contigs +#' geom_gene() + # draws genes on top of contigs +#' geom_bin_label() # labels bins/sequences #' #' # Sequence data controls what sequences and/or regions will be plotted. #' # Here one sequence is filtered out, Notice that the genes of the removed #' # sequence are silently ignored and thus not plotted. #' missing_seqs <- emale_seqs |> #' dplyr::filter(seq_id != "Cflag_017B") |> -#' dplyr::arrange(seq_id) #`arrange` to restore alphabetical order. -#' +#' dplyr::arrange(seq_id) # `arrange` to restore alphabetical order. +#' #' gggenomes(seqs = missing_seqs, genes = emale_genes) + -#' geom_seq() + #creates contigs -#' geom_gene() + #draws genes on top of contigs -#' geom_bin_label() #labels bins/sequences -#' -#' # Several sequences belonging to the same *bin* are plotted next to one another +#' geom_seq() + # creates contigs +#' geom_gene() + # draws genes on top of contigs +#' geom_bin_label() # labels bins/sequences +#' +#' # Several sequences belonging to the same *bin* are plotted next to one another #' seqs <- tibble::tibble( -#' bin_id = c("A", "A", "A", "B", "B", "B", "B", "C", "C"), -#' seq_id = c("A1", "A2", "A3", "B1", "B2", "B3", "B4", "C1", "C2"), -#' start = c(0, 100, 200, 0, 50, 150, 250, 0, 400), -#' end = c(100, 200, 400, 50, 100, 250, 300, 300, 500), -#' length = c(100, 100, 200, 50, 50, 100, 50, 300, 100)) -#' +#' bin_id = c("A", "A", "A", "B", "B", "B", "B", "C", "C"), +#' seq_id = c("A1", "A2", "A3", "B1", "B2", "B3", "B4", "C1", "C2"), +#' start = c(0, 100, 200, 0, 50, 150, 250, 0, 400), +#' end = c(100, 200, 400, 50, 100, 250, 300, 300, 500), +#' length = c(100, 100, 200, 50, 50, 100, 50, 300, 100) +#' ) +#' #' gggenomes(seqs = seqs) + -#' geom_seq() + -#' geom_bin_label() + #label bins -#' geom_seq_label() #label individual sequences -#' +#' geom_seq() + +#' geom_bin_label() + # label bins +#' geom_seq_label() # label individual sequences +#' #' # Wrap bins uptill a certain amount. -#' gggenomes(seqs = seqs, wrap=300) + -#' geom_seq() + -#' geom_bin_label() + #label bins -#' geom_seq_label() #label individual sequences -#' +#' gggenomes(seqs = seqs, wrap = 300) + +#' geom_seq() + +#' geom_bin_label() + # label bins +#' geom_seq_label() # label individual sequences +#' #' # Change the space between sequences belonging to one bin #' gggenomes(seqs = seqs, spacing = 100) + -#' geom_seq() + -#' geom_bin_label() + #label bins -#' geom_seq_label() #label individual sequences -geom_seq <- function(mapping = NULL, data = seqs(), - arrow = NULL, ...){ - - default_aes <- aes(.data$x, .data$y, xend=.data$xend, yend=.data$y) +#' geom_seq() + +#' geom_bin_label() + # label bins +#' geom_seq_label() # label individual sequences +geom_seq <- function( + mapping = NULL, data = seqs(), + arrow = NULL, ...) { + default_aes <- aes(.data$x, .data$y, xend = .data$xend, yend = .data$y) mapping <- aes_intersect(mapping, default_aes) # default arrow - if (!rlang::is_null(arrow) & !inherits(arrow, "arrow")) - arrow <- grid::arrow(length = unit(3, "pt")) + if (!rlang::is_null(arrow) & !inherits(arrow, "arrow")) { + arrow <- grid::arrow(length = unit(3, "pt")) + } geom_segment(mapping = mapping, data = data, arrow = arrow, ...) } @@ -87,53 +89,57 @@ geom_seq <- function(mapping = NULL, data = seqs(), #' @description #' This function will put labels at each individual sequence. #' By default it will plot the `seq_id` as label, but users are able to change this manually. -#' -#' Position of the label/text can be adjusted with the different arguments (e.g. `vjust`, `hjust`, `angle`, etc.) +#' +#' Position of the label/text can be adjusted with the different arguments (e.g. `vjust`, `hjust`, `angle`, etc.) #' #' @details -#' This labeling function uses [ggplot2::geom_text()] under the hood. +#' This labeling function uses [ggplot2::geom_text()] under the hood. #' Any changes to the aesthetics of the text can be performed in a ggplot2 manner. -#' +#' #' #' @inheritParams geom_gene_text #' @examples #' # example data #' seqs <- tibble::tibble( -#' bin_id = c("A", "A", "A", "B", "B", "B", "B", "C", "C"), -#' seq_id = c("A1", "A2", "A3", "B1", "B2", "B3", "B4", "C1", "C2"), -#' start = c(0, 100, 200, 0, 50, 150, 250, 0, 400), -#' end = c(100, 200, 400, 50, 100, 250, 300, 300, 500), -#' length = c(100, 100, 200, 50, 50, 100, 50, 300, 100)) -#' +#' bin_id = c("A", "A", "A", "B", "B", "B", "B", "C", "C"), +#' seq_id = c("A1", "A2", "A3", "B1", "B2", "B3", "B4", "C1", "C2"), +#' start = c(0, 100, 200, 0, 50, 150, 250, 0, 400), +#' end = c(100, 200, 400, 50, 100, 250, 300, 300, 500), +#' length = c(100, 100, 200, 50, 50, 100, 50, 300, 100) +#' ) +#' #' # example plot using geom_seq_label #' gggenomes(seqs = seqs) + -#' geom_seq() + -#' geom_seq_label() -#' -#' # changing default label to `length` column +#' geom_seq() + +#' geom_seq_label() +#' +#' # changing default label to `length` column #' gggenomes(seqs = seqs) + -#' geom_seq() + -#' geom_seq_label(aes(label=length)) -#' -#' # with horizontal adjustment +#' geom_seq() + +#' geom_seq_label(aes(label = length)) +#' +#' # with horizontal adjustment #' gggenomes(seqs = seqs) + -#' geom_seq() + -#' geom_seq_label(hjust = -5) -#' +#' geom_seq() + +#' geom_seq_label(hjust = -5) +#' #' # with wrapping at 300 -#' gggenomes(seqs=seqs, wrap = 300) + -#' geom_seq() + -#' geom_seq_label() +#' gggenomes(seqs = seqs, wrap = 300) + +#' geom_seq() + +#' geom_seq_label() #' @param size of the label +#' @return Sequence labels are added as a text layer/component to the plot. #' @export -geom_seq_label <- function(mapping = NULL, data = seqs(), - hjust = 0, vjust = 1, nudge_y = -0.15, size = 2.5, ...){ - - default_aes <- aes(y=.data$y,x=pmin(.data$x,.data$xend), label=.data$seq_id) +geom_seq_label <- function( + mapping = NULL, data = seqs(), + hjust = 0, vjust = 1, nudge_y = -0.15, size = 2.5, ...) { + default_aes <- aes(y = .data$y, x = pmin(.data$x, .data$xend), label = .data$seq_id) mapping <- aes_intersect(mapping, default_aes) - geom_text(mapping = mapping, data = data, hjust = hjust, - vjust = vjust, nudge_y = nudge_y, size = size, ...) + geom_text( + mapping = mapping, data = data, hjust = hjust, + vjust = vjust, nudge_y = nudge_y, size = size, ... + ) } #' Draw bin labels @@ -154,45 +160,50 @@ geom_seq_label <- function(mapping = NULL, data = seqs(), #' @param expand_aes provide custom aes mappings for the expansion (advanced) #' @param yjust for multiline bins set to 0.5 to center labels on bins, and 1 to #' align labels to the bottom. +#' @return Bin labels are added as a text layer/component to the plot. #' @export #' @examples #' s0 <- read_seqs(list.files(ex("cafeteria"), "Cr.*\\.fa.fai$", full.names = TRUE)) -#' s1 <- s0 %>% dplyr::filter(length>5e5) +#' s1 <- s0 %>% dplyr::filter(length > 5e5) #' #' gggenomes(emale_genes) + geom_seq() + geom_gene() + #' geom_bin_label() #' #' # make larger labels and extra room on the canvas #' gggenomes(emale_genes) + geom_seq() + geom_gene() + -#' geom_bin_label(size = 7, expand_left =.4) +#' geom_bin_label(size = 7, expand_left = .4) #' #' # align labels for wrapped bins: #' # top -#' gggenomes(seqs=s1, infer_bin_id=file_id, wrap=5e6) + +#' gggenomes(seqs = s1, infer_bin_id = file_id, wrap = 5e6) + #' geom_seq() + geom_bin_label() + geom_seq_label() #' #' # center -#' gggenomes(seqs=s1, infer_bin_id=file_id, wrap=5e6) + -#' geom_seq() + geom_bin_label(yjust=.5) + geom_seq_label() +#' gggenomes(seqs = s1, infer_bin_id = file_id, wrap = 5e6) + +#' geom_seq() + geom_bin_label(yjust = .5) + geom_seq_label() #' #' # bottom -#' gggenomes(seqs=s1, infer_bin_id=file_id, wrap=5e6) + -#' geom_seq() + geom_bin_label(yjust=1) + geom_seq_label() -geom_bin_label <- function(mapping = NULL, data=bins(), hjust = 1, size = 3, - nudge_left = 0.05, expand_left = 0.20, expand_x=NULL, expand_aes=NULL, - yjust = 0, ...){ - - default_aes <- aes_(y=~ymin * yjust + ymax * (1-yjust), - x=~pmin(x,xend) - max_width(x,xend) * nudge_left, label=~bin_id) +#' gggenomes(seqs = s1, infer_bin_id = file_id, wrap = 5e6) + +#' geom_seq() + geom_bin_label(yjust = 1) + geom_seq_label() +geom_bin_label <- function( + mapping = NULL, data = bins(), hjust = 1, size = 3, + nudge_left = 0.05, expand_left = 0.20, expand_x = NULL, expand_aes = NULL, + yjust = 0, ...) { + default_aes <- aes_( + y = ~ ymin * yjust + ymax * (1 - yjust), + x = ~ pmin(x, xend) - max_width(x, xend) * nudge_left, label = ~bin_id + ) mapping <- aes_intersect(mapping, default_aes) - r <- list(geom_text(mapping = mapping, data = data, - hjust = hjust, size = size, ...)) + r <- list(geom_text( + mapping = mapping, data = data, + hjust = hjust, size = size, ... + )) - if(!is.null(expand_x)){ - r[[2]] <- expand_limits(x=expand_x) - }else if(!is.na(expand_left)){ + if (!is.null(expand_x)) { + r[[2]] <- expand_limits(x = expand_x) + } else if (!is.na(expand_left)) { expand_aes <- NULL - default_expand_aes <- aes_(y=~y,x=~x - abs(min(x)-max(xend)) * expand_left) + default_expand_aes <- aes_(y = ~y, x = ~ x - abs(min(x) - max(xend)) * expand_left) expand_aes <- aes_intersect(expand_aes, default_expand_aes) r[[2]] <- geom_blank(mapping = expand_aes, data = data) } @@ -200,54 +211,65 @@ geom_bin_label <- function(mapping = NULL, data=bins(), hjust = 1, size = 3, } #' Draw feat/link labels #' -#' @description +#' @description #' These `geom_..._label()` functions able the user to plot labels/text at individual features and/or links. #' Users have to indicate how to label the features/links by specifying `label = ...` or `aes(label = ...` -#' -#' Position of labels can be adjusted with arguments such as `vjust`, `hjust`, `angle`, `nudge_y`, etc. +#' +#' Position of labels can be adjusted with arguments such as `vjust`, `hjust`, `angle`, `nudge_y`, etc. #' Also check out [gggenomes::geom_bin_label()], [gggenomes::geom_seq_label()] or [gggenomes::geom_feat_text()] given their resemblance. -#' +#' #' @details -#' These labeling functions use [ggplot2::geom_text()] under the hood. +#' These labeling functions use [ggplot2::geom_text()] under the hood. #' Any changes to the aesthetics of the text can be performed in a ggplot2 manner. -#' +#' #' @inheritParams geom_gene_text #' @param size of the label +#' @return Gene labels are added as a text layer/component to the plot. #' @export -geom_gene_label <- function(mapping = NULL, data = genes(), - angle = 45,hjust = 0, nudge_y = 0.1, size = 6, ...){ - - default_aes <- aes_(y=~y,x=~(x+xend)/2) +geom_gene_label <- function( + mapping = NULL, data = genes(), + angle = 45, hjust = 0, nudge_y = 0.1, size = 6, ...) { + default_aes <- aes_(y = ~y, x = ~ (x + xend) / 2) mapping <- aes_intersect(mapping, default_aes) - geom_text(mapping = mapping, data = data, angle = angle, hjust = hjust, - nudge_y = nudge_y, size = size, ...) + geom_text( + mapping = mapping, data = data, angle = angle, hjust = hjust, + nudge_y = nudge_y, size = size, ... + ) } #' @rdname geom_gene_label -geom_feat_label <- function(mapping = NULL, data = feats(), - angle = 45,hjust = 0, nudge_y = 0.1, size = 6, ...){ - - default_aes <- aes_(y=~y,x=~(x+xend)/2) +#' @export +geom_feat_label <- function( + mapping = NULL, data = feats(), + angle = 45, hjust = 0, nudge_y = 0.1, size = 6, ...) { + default_aes <- aes_(y = ~y, x = ~ (x + xend) / 2) mapping <- aes_intersect(mapping, default_aes) - geom_text(mapping = mapping, data = data, angle = angle, hjust = hjust, - nudge_y = nudge_y, size = size, ...) + geom_text( + mapping = mapping, data = data, angle = angle, hjust = hjust, + nudge_y = nudge_y, size = size, ... + ) } #' @rdname geom_gene_label #' @param repel use ggrepel to avoid overlaps -geom_link_label <- function(mapping = NULL, data = links(), - angle = 0,hjust = 0.5, vjust = 0.5, size = 4, repel=FALSE, ...){ - - default_aes <- aes_(y=~.y_center,x=~.x_center) +#' @export +geom_link_label <- function( + mapping = NULL, data = links(), + angle = 0, hjust = 0.5, vjust = 0.5, size = 4, repel = FALSE, ...) { + default_aes <- aes_(y = ~.y_center, x = ~.x_center) mapping <- aes_intersect(mapping, default_aes) - if(repel){ - ggrepel::geom_text_repel(mapping = mapping, data = data, angle = angle, hjust = hjust, - vjust = vjust, size = size, ...) - }else{ - geom_text(mapping = mapping, data = data, angle = angle, hjust = hjust, - vjust = vjust, size = size, ...) + if (repel) { + ggrepel::geom_text_repel( + mapping = mapping, data = data, angle = angle, hjust = hjust, + vjust = vjust, size = size, ... + ) + } else { + geom_text( + mapping = mapping, data = data, angle = angle, hjust = hjust, + vjust = vjust, size = size, ... + ) } } diff --git a/R/geom_coverage.R b/R/geom_coverage.R index 1e6963a..6d2e118 100644 --- a/R/geom_coverage.R +++ b/R/geom_coverage.R @@ -15,6 +15,7 @@ #' ([base::min] Can also be called here when the input data ) #' @param height distance in plot between lowest and highest point of the wiggle data. #' @param offset distance between seq center and wiggle mid/start. +#' @return A ggplot2 layer with coverage information. #' @export #' @examples #' # Plotting data with geom_coverage with increased height. diff --git a/R/geom_feat.R b/R/geom_feat.R index 36389a8..20e733a 100644 --- a/R/geom_feat.R +++ b/R/geom_feat.R @@ -17,6 +17,7 @@ #' but different ggplot2 position adjustments, such as `"identity` or `"jitter"` can be used as well. #' @inheritParams ggplot2::geom_segment #' @importFrom ggplot2 geom_segment +#' @return A ggplot2 layer with features. #' @export #' @examples #' # Plotting data from the feats' track with adjusted linewidth and color diff --git a/R/geom_gene.R b/R/geom_gene.R index 0507ecf..d290723 100644 --- a/R/geom_gene.R +++ b/R/geom_gene.R @@ -43,6 +43,7 @@ #' same color. #' @param na.rm remove na values #' @param ... passed to layer params +#' @return A ggplot2 layer with genes. #' #' #' @export @@ -406,6 +407,7 @@ intron_polys <- function(x, xend, y, height) { #' Unnest exons #' #' @param x data +#' @return data with unnested exons #' @export unnest_exons <- function(x) { rowwise(x) %>% diff --git a/R/geom_gene_text.R b/R/geom_gene_text.R index f26522e..56ef312 100644 --- a/R/geom_gene_text.R +++ b/R/geom_gene_text.R @@ -25,6 +25,7 @@ #' @param angle Defines the angle in which the text will be placed. *Note #' #' @inheritParams ggplot2::geom_text +#' @return A ggplot2 layer with gene text. #' @export #' @examples #' # example data @@ -92,6 +93,7 @@ geom_feat_text <- function(mapping = NULL, data = feats(), stat = "identity", po #' @rdname geom_feat_text #' @param xjust Move text in x direction #' @param strandwise plotting of feature tags +#' @return A ggplot2 layer with feature tags. #' @export geom_feat_tag <- function(mapping = NULL, data = feats(), stat = "identity", position = "identity", hjust = 0, vjust = 0, angle = 45, nudge_y = .03, xjust = 0.5, strandwise = TRUE, ..., @@ -105,6 +107,7 @@ geom_feat_tag <- function(mapping = NULL, data = feats(), stat = "identity", pos } #' @rdname geom_feat_text +#' @return A ggplot2 layer with feature notes. #' @export geom_feat_note <- function(mapping = NULL, data = feats(), stat = "identity", position = "identity", hjust = 0, vjust = 1, nudge_y = -.03, xjust = 0, strandwise = FALSE, ..., @@ -118,6 +121,7 @@ geom_feat_note <- function(mapping = NULL, data = feats(), stat = "identity", po } #' @rdname geom_feat_text +#' @return A ggplot2 layer with gene text. #' @export geom_gene_text <- function(mapping = NULL, data = genes(), stat = "identity", position = "identity", ..., parse = FALSE, check_overlap = FALSE, na.rm = FALSE, @@ -133,6 +137,7 @@ geom_gene_text <- function(mapping = NULL, data = genes(), stat = "identity", po } #' @rdname geom_feat_text +#' @return A ggplot2 layer with gene tags. #' @export geom_gene_tag <- function( mapping = NULL, data = genes(), stat = "identity", position = "identity", @@ -147,6 +152,7 @@ geom_gene_tag <- function( } #' @rdname geom_feat_text +#' @return A ggplot2 layer with gene notes. #' @export geom_gene_note <- function( mapping = NULL, data = genes(), stat = "identity", position = "identity", diff --git a/R/geom_link.R b/R/geom_link.R index 04a3fcf..e0d04ec 100644 --- a/R/geom_link.R +++ b/R/geom_link.R @@ -19,38 +19,39 @@ #' @inheritParams ggplot2::geom_polygon #' @param offset distance between seq center and link start. Use two values #' `c(, )` for different top and bottom offsets +#' @return A ggplot2 layer with links. #' @export #' @examples -#' p0 <- gggenomes(seqs=emale_seqs, links = emale_ava) + geom_seq() +#' p0 <- gggenomes(seqs = emale_seqs, links = emale_ava) + geom_seq() #' #' # default links #' p1 <- p0 + geom_link() #' #' # change offset from seqs and color -#' p2 <- p0 + geom_link(aes(fill=de, color=de), offset = 0.05) + +#' p2 <- p0 + geom_link(aes(fill = de, color = de), offset = 0.05) + #' scale_fill_viridis_b() + scale_colour_viridis_b() #' #' # combine with flip -#' p3 <- p0 |> flip(3,4,5) + +#' p3 <- p0 |> flip(3, 4, 5) + #' geom_link() #' #' # compute & show all links among all genomes #' # usually not useful and not recommended for large dataset -#' p4 <- gggenomes(links=emale_ava, adjacent_only = FALSE) + geom_link() +#' p4 <- gggenomes(links = emale_ava, adjacent_only = FALSE) + geom_link() #' #' library(patchwork) # combine plots in one figure -#' p1 + p2 + p3 + p4 + plot_layout(nrow=1) -geom_link <- function(mapping = NULL, data = links(), stat = "identity", +#' p1 + p2 + p3 + p4 + plot_layout(nrow = 1) +geom_link <- function( + mapping = NULL, data = links(), stat = "identity", position = "identity", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, offset = 0.15, ...) { + if (length(offset) == 1) offset <- offset[c(1, 1)] - if(length(offset) == 1) offset <- offset[c(1,1)] - - default_aes <- aes(y=.data$y,x=.data$x,xend=.data$xend,yend=.data$yend,xmin=.data$xmin,xmax=.data$xmax) + default_aes <- aes(y = .data$y, x = .data$x, xend = .data$xend, yend = .data$yend, xmin = .data$xmin, xmax = .data$xmax) mapping <- aes_intersect(mapping, default_aes) layer( - geom = GeomLink, mapping = mapping, data = data, stat = stat, + geom = GeomLink, mapping = mapping, data = data, stat = stat, position = position, show.legend = show.legend, inherit.aes = inherit.aes, params = list(na.rm = na.rm, offset = offset, ...) ) @@ -63,40 +64,42 @@ geom_link <- function(mapping = NULL, data = links(), stat = "identity", #' geom_seq() + geom_gene() #' #' # link gene clusters with polygon -#' q1 <- q0 + geom_link(aes(fill=cluster_id)) +#' q1 <- q0 + geom_link(aes(fill = cluster_id)) #' #' # link gene clusters with lines -#' q2 <- q0 + geom_link_line(aes(color=cluster_id)) -#' -#' q1 + q2 + plot_layout(nrow=1, guides = "collect") +#' q2 <- q0 + geom_link_line(aes(color = cluster_id)) #' +#' q1 + q2 + plot_layout(nrow = 1, guides = "collect") #' -geom_link_line <- function(mapping = NULL, data = links(), stat = "identity", +geom_link_line <- function( + mapping = NULL, data = links(), stat = "identity", position = "identity", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, - ...){ - default_aes <- aes(y=.data$y, yend=.data$yend, x=(.data$x+.data$xend)/2, xend=(.data$xmin+.data$xmax)/2) + ...) { + default_aes <- aes(y = .data$y, yend = .data$yend, x = (.data$x + .data$xend) / 2, xend = (.data$xmin + .data$xmax) / 2) mapping <- aes_intersect(mapping, default_aes) - layer(geom = GeomSegment, mapping = mapping, data = data, stat = stat, - position = position, show.legend = show.legend, inherit.aes = inherit.aes, - params = list(na.rm = na.rm, ...)) + layer( + geom = GeomSegment, mapping = mapping, data = data, stat = stat, + position = position, show.legend = show.legend, inherit.aes = inherit.aes, + params = list(na.rm = na.rm, ...) + ) } GeomLink <- ggproto( "GeomLink", Geom, - default_aes = aes(colour = "honeydew3", fill = "honeydew3", size = 0.5, linetype = 1, - alpha = 0.7), - + default_aes = aes( + colour = "honeydew3", fill = "honeydew3", size = 0.5, linetype = 1, + alpha = 0.7 + ), required_aes = c("x", "xend", "y", "xmin", "xmax", "yend"), - draw_panel = function(self, data, panel_params, coord, linejoin = "mitre", offset = c(0.15, 0.15)) { - if (TRUE){#!coord$is_linear()) { + if (TRUE) { # !coord$is_linear()) { aesthetics <- setdiff( names(data), c("x", "xend", "y", "xmin", "xmax", "yend") ) polys <- lapply(split(data, seq_len(nrow(data))), function(row) { poly <- link_to_poly(row$x, row$xend, row$y, row$xmin, row$xmax, row$yend, offset) - aes <- vctrs::data_frame(row[aesthetics])[rep(1,5), ] + aes <- vctrs::data_frame(row[aesthetics])[rep(1, 5), ] GeomPolygon$draw_panel(cbind(poly, aes), panel_params, coord) }) @@ -107,10 +110,10 @@ GeomLink <- ggproto( ) link_to_poly <- function(x, xend, y, xmin, xmax, yend, offset) { - if(y > yend){ + if (y > yend) { y <- y - offset[1] yend <- yend + offset[2] - }else{ + } else { y <- y + offset[2] yend <- yend - offset[1] } diff --git a/R/geom_seq_break.R b/R/geom_seq_break.R index fbbb188..45ea3da 100644 --- a/R/geom_seq_break.R +++ b/R/geom_seq_break.R @@ -17,19 +17,20 @@ #' @param hjust Moves the text horizontally #' @inheritParams ggplot2::geom_text #' @importFrom ggplot2 geom_text +#' @return A ggplot2 layer with sequence breaks. #' @export #' @examples #' # decorate breaks created with focus() #' gggenomes(emale_genes, emale_seqs) |> -#' focus(.expand=1e3, .max_dist = 1e3) + +#' focus(.expand = 1e3, .max_dist = 1e3) + #' geom_seq() + geom_gene() + #' geom_seq_break() #' #' # customize decorations #' gggenomes(emale_genes, emale_seqs) |> -#' focus(.expand=1e3, .max_dist = 1e3) + +#' focus(.expand = 1e3, .max_dist = 1e3) + #' geom_seq() + geom_gene() + -#' geom_seq_break(label=c("[", "]"), size=3, color="#1b9e77") +#' geom_seq_break(label = c("[", "]"), size = 3, color = "#1b9e77") #' #' # decorate manually truncated sequences #' s0 <- tibble::tribble( @@ -51,29 +52,31 @@ #' "contig_3_trunc_2sides", 1e4, 1.3e4 #' ) #' -#' gggenomes(seqs=s0, links=l0) + +#' gggenomes(seqs = s0, links = l0) + #' geom_seq() + geom_link() + -#' geom_seq_label(nudge_y=-.05) + +#' geom_seq_label(nudge_y = -.05) + #' geom_seq_break() geom_seq_break <- function(mapping_start = NULL, mapping_end = NULL, - data_start = seqs(start > 1), data_end=seqs(end < length), - label="/", size=4, hjust=.75, family="sans", stat="identity", - na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, ...){ - + data_start = seqs(start > 1), data_end = seqs(end < length), + label = "/", size = 4, hjust = .75, family = "sans", stat = "identity", + na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, ...) { label_start <- label[1] label_end <- label[length(label)] - aes_start <- aes(x=x, y=.data$y) + aes_start <- aes(x = x, y = .data$y) aes_start <- aes_intersect(mapping_start, aes_start) - aes_end <- aes(x=xend, y=.data$y) + aes_end <- aes(x = xend, y = .data$y) aes_end <- aes_intersect(mapping_end, aes_end) list( - geom_text(aes_start, data=data_start, label=label_start, size=size, hjust=hjust, - family=family, ...), - geom_text(aes_end, data=data_end, label=label_end, size=size, hjust=1-hjust, - family=family, ...) + geom_text(aes_start, + data = data_start, label = label_start, size = size, hjust = hjust, + family = family, ... + ), + geom_text(aes_end, + data = data_end, label = label_end, size = size, hjust = 1 - hjust, + family = family, ... + ) ) } - diff --git a/R/geom_variant.R b/R/geom_variant.R index 5a50fae..1342630 100644 --- a/R/geom_variant.R +++ b/R/geom_variant.R @@ -1,115 +1,129 @@ #' Draw place of mutation #' -#' geom_variant allows the user to draw points at locations where a mutation has occured. -#' Data on SNPs, Insertions, Deletions and more (often stored in a variant call format (VCF)) can easily be visualized this way. +#' geom_variant allows the user to draw points at locations where a mutation has occured. +#' Data on SNPs, Insertions, Deletions and more (often stored in a variant call format (VCF)) can easily be visualized this way. #' -#' geom_variant uses `ggplot2::geom_point` under the hood. As a result, different aesthetics such as `alpha`, `size`, `color`, etc. +#' geom_variant uses `ggplot2::geom_point` under the hood. As a result, different aesthetics such as `alpha`, `size`, `color`, etc. #' can be called upon to modify the data visualization. -#' +#' #' #' the function `gggenomes::read_feats` is able to read VCF files and converts them into a format that is applicable within the gggenomes' track system. -#' *Keep in mind: The function uses data from the feats' track.* +#' *Keep in mind: The function uses data from the feats' track.* #' #' @inheritParams ggplot2::geom_point #' @param data Data from the first feats track is used for this function by default. When several feats tracks are present within the gggenomes track system, -#' make sure that the wanted data is used by calling `data = feats(*df*)` within the `geom_variant` function. +#' make sure that the wanted data is used by calling `data = feats(*df*)` within the `geom_variant` function. #' @param stat Describes what statistical transformation is used for this layer. By default it uses `"identity"`, indicating no statistical transformation. -#' @param position Describes how the position of different plotted features are adjusted. By default it uses `"identity"`, -#' but different position adjustments, such as **`position_variant()`**, ggplot2' `"jitter"` or `"pile"` can be used as well. -#' @param geom Describes what geom is called upon by the function for plotting. By default the function uses `"variant"`, a modified geom_point object. -#' For larger sequences with abundant mutations/variations, it is recommended to use `"ticks"` (a modified geom_point object with different default shape and alpha, which plots the points as small "ticks"), -#' but in theory any other ggplot2 geom can be called here as well. +#' @param position Describes how the position of different plotted features are adjusted. By default it uses `"identity"`, +#' but different position adjustments, such as **`position_variant()`**, ggplot2' `"jitter"` or `"pile"` can be used as well. +#' @param geom Describes what geom is called upon by the function for plotting. By default the function uses `"variant"`, a modified geom_point object. +#' For larger sequences with abundant mutations/variations, it is recommended to use `"ticks"` (a modified geom_point object with different default shape and alpha, which plots the points as small "ticks"), +#' but in theory any other ggplot2 geom can be called here as well. #' @param offset Numeric value describing how far the points will be drawn from the base/sequence. By default it is set on `offset = 0`. +#' @return A ggplot2 layer with variant information. #' @export -#' @examples +#' @examples #' # Creation of example data. #' # (Note: These are mere examples and do not fully resemble data from VCF-files) #' ## Small example data set -#' f1 <- tibble::tibble(seq_id = c(rep(c("A", "B"), 4)), start = c(1, 10, 15, 15, 30, 40, 40, 50), -#' end = c(2, 11, 20, 16, 31, 41, 50, 51), length = end-start, -#' type = c("SNP", "SNP", "Insertion", "Deletion", "Deletion", "SNP", "Insertion", "SNP"), -#' ALT = c("A", "T", "CAT", ".", ".", "G", "GG", "G"), -#' REF = c("C", "G", "C", "A", "A", "C", "G", "T")) -#' s1 <- tibble::tibble(seq_id = c("A", "B"), start = c(0, 0), end = c(55, 55), length = end-start) -#' -#' ## larger example data set -#' f2 <- tibble::tibble(seq_id = c(rep("A", 667)), -#' start = c(seq(from=1, to=500, by =2), -#' seq(from=500, to =2500, by = 50), -#' seq(from=2500, to = 4000, by=4)), -#' end = start+1, length = end-start, -#' type = c(rep("SNP", 100), -#' rep("Deletion", 20), -#' rep("SNP", 180), -#' rep("Deletion", 67), -#' rep("SNP", 100), -#' rep("Insertion", 50), -#' rep("SNP", 150)), -#' ALT = c(sample(x=c("A", "C", "G", "T"), size = 100, replace = TRUE), -#' rep(".", 20), sample(x=c("A", "C", "G", "T"), size = 180, replace=TRUE), -#' rep(".", 67), sample(x=c("A", "C", "G", "T"), size = 100, replace=TRUE), -#' sample(x=c("AA", "AC", "AG", "AT", "CA", "CC", "CG", "CT", "GA", "GC", -#' "GG", "GT", "TA", "TC", "TG", "TT"), size = 50, replace = TRUE), -#' sample(x=c("A", "C", "G", "T"), size = 150, replace=TRUE))) -#' -#' # Basic example plot with geom_variant -#' gggenomes(seqs = s1, feats = f1) + -#' geom_seq() + -#' geom_variant() -#' -#' # Improving plot elements, by changing shape and adding bin_label -#' gggenomes(seqs = s1, feats = f1) + -#' geom_seq() + -#' geom_variant(aes(shape=type), offset = -0.1) + -#' scale_shape_variant() + -#' geom_bin_label() -#' -#' # Positional adjustment based on type of mutation: position_variant -#' gggenomes(seqs = s1, feats = f1) + -#' geom_seq() + -#' geom_variant( -#' aes(shape=type), -#' position = position_variant(offset = c(Insertion=-0.2, Deletion=-0.2, SNP=0)) -#' ) + -#' scale_shape_variant() + -#' geom_bin_label() -#' -#' # Plotting larger example data set with Changing default geom to -#' # `geom = "ticks"` using positional adjustment based on type (`position_variant`) -#' gggenomes(feats = f2) + -#' geom_variant(aes(color = type), geom = "ticks", alpha = 0.4, position = position_variant()) + -#' geom_bin_label() -#' -#' # Changing geom to `"text"`, to plot ALT nucleotides -#' gggenomes(seqs=s1, feats=f1) + -#' geom_seq() + -#' geom_variant(aes(shape=type), offset=-0.1) + -#' scale_shape_variant() + -#' geom_variant(aes(label=ALT), geom="text", offset=-0.25) + -#' geom_bin_label() -#' -geom_variant <- function(mapping = NULL, data = feats(), stat="identity", position = "identity", geom = "variant", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, offset = 0, ...) { - default_aes <- aes(x=(.data$xend+.data$x)/2, y=.data$y+offset, type = .data$type) +#' f1 <- tibble::tibble( +#' seq_id = c(rep(c("A", "B"), 4)), start = c(1, 10, 15, 15, 30, 40, 40, 50), +#' end = c(2, 11, 20, 16, 31, 41, 50, 51), length = end - start, +#' type = c("SNP", "SNP", "Insertion", "Deletion", "Deletion", "SNP", "Insertion", "SNP"), +#' ALT = c("A", "T", "CAT", ".", ".", "G", "GG", "G"), +#' REF = c("C", "G", "C", "A", "A", "C", "G", "T") +#' ) +#' s1 <- tibble::tibble(seq_id = c("A", "B"), start = c(0, 0), end = c(55, 55), length = end - start) +#' +#' ## larger example data set +#' f2 <- tibble::tibble( +#' seq_id = c(rep("A", 667)), +#' start = c( +#' seq(from = 1, to = 500, by = 2), +#' seq(from = 500, to = 2500, by = 50), +#' seq(from = 2500, to = 4000, by = 4) +#' ), +#' end = start + 1, length = end - start, +#' type = c( +#' rep("SNP", 100), +#' rep("Deletion", 20), +#' rep("SNP", 180), +#' rep("Deletion", 67), +#' rep("SNP", 100), +#' rep("Insertion", 50), +#' rep("SNP", 150) +#' ), +#' ALT = c( +#' sample(x = c("A", "C", "G", "T"), size = 100, replace = TRUE), +#' rep(".", 20), sample(x = c("A", "C", "G", "T"), size = 180, replace = TRUE), +#' rep(".", 67), sample(x = c("A", "C", "G", "T"), size = 100, replace = TRUE), +#' sample(x = c( +#' "AA", "AC", "AG", "AT", "CA", "CC", "CG", "CT", "GA", "GC", +#' "GG", "GT", "TA", "TC", "TG", "TT" +#' ), size = 50, replace = TRUE), +#' sample(x = c("A", "C", "G", "T"), size = 150, replace = TRUE) +#' ) +#' ) +#' +#' # Basic example plot with geom_variant +#' gggenomes(seqs = s1, feats = f1) + +#' geom_seq() + +#' geom_variant() +#' +#' # Improving plot elements, by changing shape and adding bin_label +#' gggenomes(seqs = s1, feats = f1) + +#' geom_seq() + +#' geom_variant(aes(shape = type), offset = -0.1) + +#' scale_shape_variant() + +#' geom_bin_label() +#' +#' # Positional adjustment based on type of mutation: position_variant +#' gggenomes(seqs = s1, feats = f1) + +#' geom_seq() + +#' geom_variant( +#' aes(shape = type), +#' position = position_variant(offset = c(Insertion = -0.2, Deletion = -0.2, SNP = 0)) +#' ) + +#' scale_shape_variant() + +#' geom_bin_label() +#' +#' # Plotting larger example data set with Changing default geom to +#' # `geom = "ticks"` using positional adjustment based on type (`position_variant`) +#' gggenomes(feats = f2) + +#' geom_variant(aes(color = type), geom = "ticks", alpha = 0.4, position = position_variant()) + +#' geom_bin_label() +#' +#' # Changing geom to `"text"`, to plot ALT nucleotides +#' gggenomes(seqs = s1, feats = f1) + +#' geom_seq() + +#' geom_variant(aes(shape = type), offset = -0.1) + +#' scale_shape_variant() + +#' geom_variant(aes(label = ALT), geom = "text", offset = -0.25) + +#' geom_bin_label() +#' +geom_variant <- function(mapping = NULL, data = feats(), stat = "identity", position = "identity", geom = "variant", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, offset = 0, ...) { + default_aes <- aes(x = (.data$xend + .data$x) / 2, y = .data$y + offset, type = .data$type) mapping <- aes_intersect(mapping, default_aes) - + layer( geom = geom, mapping = mapping, data = data, stat = stat, position = position, show.legend = show.legend, inherit.aes = inherit.aes, params = list(na.rm = na.rm, ...) - ) + ) } -#ggproto to create basic layout for geom_variant -GeomVariant <- ggproto("GeomVariant", GeomPoint, - default_aes = aes( - shape = 19, colour = "black", size = 2, fill = "black", - alpha = NA, stroke = 0.5, type = NA - ) - ) +# ggproto to create basic layout for geom_variant +GeomVariant <- ggproto("GeomVariant", GeomPoint, + default_aes = aes( + shape = 19, colour = "black", size = 2, fill = "black", + alpha = NA, stroke = 0.5, type = NA + ) +) -#ggproto to create basic layout to resemble `ggplot2::geom_rug` -GeomTicks <- ggproto("GeomTicks", GeomPoint, - default_aes = aes( - shape = 124, colour = "black", size = 2, fill = "black", - alpha = 0.1, stroke = 0.5, type = NA - )) +# ggproto to create basic layout to resemble `ggplot2::geom_rug` +GeomTicks <- ggproto("GeomTicks", GeomPoint, + default_aes = aes( + shape = 124, colour = "black", size = 2, fill = "black", + alpha = 0.1, stroke = 0.5, type = NA + ) +) diff --git a/R/gggenomes.R b/R/gggenomes.R index b139a81..f02bc1e 100644 --- a/R/gggenomes.R +++ b/R/gggenomes.R @@ -73,28 +73,33 @@ #' # Compare the genomic organization of three viral elements #' # EMALEs: endogenous mavirus-like elements (example data shipped with gggenomes) #' gggenomes(emale_genes, emale_seqs, emale_tirs, emale_ava) + -#' geom_seq() + geom_bin_label() + # chromosomes and labels -#' geom_feat(size=8) + # terminal inverted repeats -#' geom_gene(aes(fill=strand), position="strand") + # genes -#' geom_link(offset = 0.15) # synteny-blocks +#' geom_seq() + geom_bin_label() + # chromosomes and labels +#' geom_feat(size = 8) + # terminal inverted repeats +#' geom_gene(aes(fill = strand), position = "strand") + # genes +#' geom_link(offset = 0.15) # synteny-blocks #' #' # with some more information #' gggenomes(emale_genes, emale_seqs, emale_tirs, emale_ava) %>% #' add_feats(emale_ngaros, emale_gc) %>% #' add_clusters(emale_cogs) %>% #' sync() + -#' geom_link(offset = 0.15, color="white") + # synteny-blocks -#' geom_seq() + geom_bin_label() + # chromosomes and labels +#' geom_link(offset = 0.15, color = "white") + # synteny-blocks +#' geom_seq() + geom_bin_label() + # chromosomes and labels #' # thistle4, salmon4, burlywood4 -#' geom_feat(size=6, position="identity") + # terminal inverted repeats -#' geom_feat(data=feats(emale_ngaros), color="turquoise4", alpha=.3, -#' position="strand", size=16) + -#' geom_feat_note(aes(label=type), data=feats(emale_ngaros), -#' position="strand", nudge_y = .3) + -#' geom_gene(aes(fill=cluster_id), position="strand") + # genes -#' geom_wiggle(aes(z=score, linetype="GC-content"), feats(emale_gc), -#' fill="lavenderblush4", position=position_nudge(y=-.2), height = .2) + -#' scale_fill_brewer("Conserved genes", palette="Dark2", na.value = "cornsilk3") +#' geom_feat(size = 6, position = "identity") + # terminal inverted repeats +#' geom_feat( +#' data = feats(emale_ngaros), color = "turquoise4", alpha = .3, +#' position = "strand", size = 16 +#' ) + +#' geom_feat_note(aes(label = type), +#' data = feats(emale_ngaros), +#' position = "strand", nudge_y = .3 +#' ) + +#' geom_gene(aes(fill = cluster_id), position = "strand") + # genes +#' geom_wiggle(aes(z = score, linetype = "GC-content"), feats(emale_gc), +#' fill = "lavenderblush4", position = position_nudge(y = -.2), height = .2 +#' ) + +#' scale_fill_brewer("Conserved genes", palette = "Dark2", na.value = "cornsilk3") #' #' # initialize plot directly from files #' gggenomes( @@ -107,44 +112,47 @@ #' # multi-contig genomes wrap to fixed width #' s0 <- read_seqs(list.files(ex("cafeteria"), "Cr.*\\.fa.fai$", full.names = TRUE)) #' s1 <- s0 %>% dplyr::filter(length > 5e5) -#' gggenomes(seqs=s1, infer_bin_id=file_id, wrap=5e6) + +#' gggenomes(seqs = s1, infer_bin_id = file_id, wrap = 5e6) + #' geom_seq() + geom_bin_label() + geom_seq_label() -gggenomes <- function(genes=NULL, seqs=NULL, feats=NULL, links=NULL, - .id="file_id", spacing=0.05, wrap=NULL, adjacent_only=TRUE, - infer_bin_id = seq_id, infer_start = min(start,end), - infer_end = max(start,end), infer_length = max(start,end), - theme = c("clean", NULL), .layout=NULL, ...){ - +gggenomes <- function( + genes = NULL, seqs = NULL, feats = NULL, links = NULL, + .id = "file_id", spacing = 0.05, wrap = NULL, adjacent_only = TRUE, + infer_bin_id = seq_id, infer_start = min(start, end), + infer_end = max(start, end), infer_length = max(start, end), + theme = c("clean", NULL), .layout = NULL, ...) { # parse track_args to tracks - some magic for a convenient api genes_exprs <- enexpr(genes) feats_exprs <- enexpr(feats) links_exprs <- enexpr(links) - genes <- as_tracks(genes, genes_exprs, "seqs", context="feats") - feats <- as_tracks(feats, feats_exprs, c("seqs", names2(genes)), context="feats") + genes <- as_tracks(genes, genes_exprs, "seqs", context = "feats") + feats <- as_tracks(feats, feats_exprs, c("seqs", names2(genes)), context = "feats") feats <- c(genes, feats) # genes are just feats - links <- as_tracks(links, links_exprs, c("seqs", names2(feats)), context="links") + links <- as_tracks(links, links_exprs, c("seqs", names2(feats)), context = "links") - if(is_character(seqs)) - seqs <- read_seqs(seqs, .id=.id) + if (is_character(seqs)) { + seqs <- read_seqs(seqs, .id = .id) + } - layout <- .layout %||% layout_genomes(seqs=seqs, genes=genes, feats=feats, - links=links, spacing=spacing, wrap=wrap, adjacent_only=adjacent_only, - infer_bin_id={{infer_bin_id}}, infer_start={{infer_start}}, - infer_end={{infer_end}}, infer_length={{infer_length}}, ...) + layout <- .layout %||% layout_genomes( + seqs = seqs, genes = genes, feats = feats, + links = links, spacing = spacing, wrap = wrap, adjacent_only = adjacent_only, + infer_bin_id = {{ infer_bin_id }}, infer_start = {{ infer_start }}, + infer_end = {{ infer_end }}, infer_length = {{ infer_length }}, ... + ) p <- ggplot(data = layout) - class(p) <- c('gggenomes', class(p)) + class(p) <- c("gggenomes", class(p)) - p <- p + scale_y_continuous(expand = expansion(add=.7, mult=0.01)) + p <- p + scale_y_continuous(expand = expansion(add = .7, mult = 0.01)) theme_name <- theme[[1]] %||% match.arg(theme[[1]], c("clean")) - if(!is.null(theme_name)){ # add theme - theme_args <- if(is.list(theme) && length(theme) >1) theme[-1] else list() + if (!is.null(theme_name)) { # add theme + theme_args <- if (is.list(theme) && length(theme) > 1) theme[-1] else list() p <- p + do.call(paste0("theme_gggenomes_", theme), theme_args) } - p <- p + geom_blank(data=seqs()) + p <- p + geom_blank(data = seqs()) p } @@ -154,7 +162,7 @@ gggenomes <- function(genes=NULL, seqs=NULL, feats=NULL, links=NULL, #' @export #' @keywords internal ggplot.gggenomes_layout <- function(data, mapping = aes(), ..., - environment = parent.frame()) { + environment = parent.frame()) { if (!missing(mapping) && !inherits(mapping, "uneval")) { stop("Mapping should be created with `aes() or `aes_()`.", call. = FALSE) } @@ -182,39 +190,47 @@ ggplot.gggenomes_layout <- function(data, mapping = aes(), ..., #' @keywords internal #' @return gggenomes_layout object #' @export -layout_genomes <- function(seqs=NULL, genes=NULL, feats=NULL, links=NULL, - infer_bin_id = seq_id, infer_start = min(start,end), infer_end = max(start,end), - infer_length = max(start,end), adjacent_only=TRUE, ...){ - +layout_genomes <- function( + seqs = NULL, genes = NULL, feats = NULL, links = NULL, + infer_bin_id = seq_id, infer_start = min(start, end), infer_end = max(start, end), + infer_length = max(start, end), adjacent_only = TRUE, ...) { # check seqs / infer seqs if not provided - if(!is.null(seqs)){ - if(!has_name(seqs, "bin_id")) + if (!is.null(seqs)) { + if (!has_name(seqs, "bin_id")) { seqs <- mutate(seqs, bin_id = {{ infer_bin_id }}) - }else{ - if(is.null(feats) & is.null(links)) + } + } else { + if (is.null(feats) & is.null(links)) { abort("Need at least one of: seqs, genes, feats or links") + } # infer dummy seqs - if(!is.null(feats)){ + if (!is.null(feats)) { inform("No seqs provided, inferring seqs from feats") - seqs <- infer_seqs_from_feats(feats[[1]], {{infer_bin_id}}, {{infer_start}}, - {{infer_end}}, {{infer_length}}) - }else if(!is.null(links)){ + seqs <- infer_seqs_from_feats( + feats[[1]], {{ infer_bin_id }}, {{ infer_start }}, + {{ infer_end }}, {{ infer_length }} + ) + } else if (!is.null(links)) { inform("No seqs or feats provided, inferring seqs from links") - seqs <- infer_seqs_from_links(links[[1]], {{infer_bin_id}}, {{infer_start}}, - {{infer_end}}, {{infer_length}}) + seqs <- infer_seqs_from_links( + links[[1]], {{ infer_bin_id }}, {{ infer_start }}, + {{ infer_end }}, {{ infer_length }} + ) } } # init the gggenomes_layout object - x <- list(seqs = NULL, feats = list(), links = list(), orig_links = list(), - args_seqs = list(...), args_links = list(adjacent_only=adjacent_only)) + x <- list( + seqs = NULL, feats = list(), links = list(), orig_links = list(), + args_seqs = list(...), args_links = list(adjacent_only = adjacent_only) + ) x %<>% set_class("gggenomes_layout", "prepend") # add track data to layout x %<>% add_seqs(seqs, ...) # layout seqs - if(!is.null(feats)) x <- add_feat_tracks(x, feats) - if(!is.null(links)) x <- add_link_tracks(x, links, adjacent_only = adjacent_only) + if (!is.null(feats)) x <- add_feat_tracks(x, feats) + if (!is.null(links)) x <- add_link_tracks(x, links, adjacent_only = adjacent_only) x } @@ -229,12 +245,14 @@ dim.gggenomes_layout <- function(x) dim(get_seqs(x)) #' @export print.gggenomes_layout <- function(x, ...) track_info(x) -infer_seqs_from_feats <- function(feats, infer_bin_id = seq_id, infer_start = min(start,end), - infer_end = max(start,end), infer_length = max(start,end)){ - if(!has_name(feats, "bin_id")) +infer_seqs_from_feats <- function( + feats, infer_bin_id = seq_id, infer_start = min(start, end), + infer_end = max(start, end), infer_length = max(start, end)) { + if (!has_name(feats, "bin_id")) { feats <- mutate(feats, bin_id = {{ infer_bin_id }}) - else + } else { warn("bin_id found in feats, won't overwrite") + } seqs <- feats %>% dplyr::group_by(.data$bin_id, .data$seq_id) %>% @@ -243,22 +261,23 @@ infer_seqs_from_feats <- function(feats, infer_bin_id = seq_id, infer_start = mi .start = {{ infer_start }}, .end = {{ infer_end }} ) %>% - dplyr::rename(start=.data$.start, end=.data$.end) # this is necessary, so {{ infer_end }} does - # not already use the "start" from {{ infer_start }} + dplyr::rename(start = .data$.start, end = .data$.end) # this is necessary, so {{ infer_end }} does + # not already use the "start" from {{ infer_start }} dplyr::ungroup(seqs) } -infer_seqs_from_links <- function(links, infer_bin_id = seq_id, infer_start = min(start,end), - infer_end = max(start,end), infer_length = max(start,end)){ - +infer_seqs_from_links <- function( + links, infer_bin_id = seq_id, infer_start = min(start, end), + infer_end = max(start, end), infer_length = max(start, end)) { seqs <- bind_rows( select_at(links, vars(ends_with("1")), str_replace, "1", ""), select_at(links, vars(ends_with("2")), str_replace, "2", "") ) - if(!has_name(seqs, "bin_id")) + if (!has_name(seqs, "bin_id")) { seqs <- mutate(seqs, bin_id = {{ infer_bin_id }}) + } seqs %<>% dplyr::mutate(bin_id = {{ infer_bin_id }}) %>% @@ -268,7 +287,7 @@ infer_seqs_from_links <- function(links, infer_bin_id = seq_id, infer_start = mi .start = {{ infer_start }}, .end = {{ infer_end }} ) %>% - dplyr::rename(start=.data$.start, end=.data$.end) + dplyr::rename(start = .data$.start, end = .data$.end) dplyr::ungroup(seqs) } @@ -277,8 +296,9 @@ infer_seqs_from_links <- function(links, infer_bin_id = seq_id, infer_start = mi #' @importFrom ggplot2 theme_bw #' @importFrom ggplot2 theme #' @inheritParams ggplot2::theme_bw +#' @return ggplot2 theme with gggenomes defaults #' @export -theme_gggenomes_clean <- function(base_size = 12, base_family = "", base_line_size = base_size/30, base_rect_size = base_size/30){ +theme_gggenomes_clean <- function(base_size = 12, base_family = "", base_line_size = base_size / 30, base_rect_size = base_size / 30) { theme_bw( base_size = base_size, base_family = base_family, base_line_size = base_line_size, base_rect_size = base_rect_size @@ -288,15 +308,13 @@ theme_gggenomes_clean <- function(base_size = 12, base_family = "", base_line_si panel.grid.minor = element_blank(), panel.background = element_rect(fill = "white"), # x-axis - axis.line.x = element_line(color = "black", size=.4), + axis.line.x = element_line(color = "black", size = .4), axis.title.x = element_blank(), - axis.text.x= element_text(color = "black", size=7), + axis.text.x = element_text(color = "black", size = 7), axis.ticks.length.x = unit(.7, "mm"), # y-axis - axis.title.y=element_blank(), - axis.ticks.y=element_blank(), - axis.text.y=element_blank() + axis.title.y = element_blank(), + axis.ticks.y = element_blank(), + axis.text.y = element_blank() ) } - - diff --git a/R/links.R b/R/links.R index 797f59a..090b23c 100644 --- a/R/links.R +++ b/R/links.R @@ -18,48 +18,48 @@ #' @inheritParams as_feats #' @export #' @keywords internal -as_links <- function(x, seqs, ..., everything=TRUE){ - UseMethod("as_links") +as_links <- function(x, seqs, ..., everything = TRUE) { + UseMethod("as_links") } #' @export -as_links.default <- function(x, seqs, ..., everything=TRUE){ - # try to coerce into tbl - as_links(as_tibble(x), seqs, ..., everything=everything) +as_links.default <- function(x, seqs, ..., everything = TRUE) { + # try to coerce into tbl + as_links(as_tibble(x), seqs, ..., everything = everything) } #' @export -as_links.tbl_df <- function(x, seqs, ..., everything=TRUE){ +as_links.tbl_df <- function(x, seqs, ..., everything = TRUE) { vars <- c("seq_id", "seq_id2") require_vars(x, vars) # coerce IDs to chars, so we don't get errors in join by mismatched types x <- mutate_at(x, vars("seq_id", "seq_id2"), as.character) - if(!has_vars(x, c("start", "end", "start2", "end2"))){ - if(has_vars(x, c("start", "end", "start2", "end2"),any=TRUE)){ + if (!has_vars(x, c("start", "end", "start2", "end2"))) { + if (has_vars(x, c("start", "end", "start2", "end2"), any = TRUE)) { abort("Need either all of start,fend1,start2,end2 or none!") } x <- x %>% - left_join(select(ungroup(seqs), seq_id=.data$seq_id, start=.data$start, end = .data$end), by="seq_id") %>% - left_join(select(ungroup(seqs), seq_id2=.data$seq_id, start2=.data$start, end2 = .data$end), by="seq_id2") + left_join(select(ungroup(seqs), seq_id = .data$seq_id, start = .data$start, end = .data$end), by = "seq_id") %>% + left_join(select(ungroup(seqs), seq_id2 = .data$seq_id, start2 = .data$start, end2 = .data$end), by = "seq_id2") } vars <- c("seq_id", "start", "end", "seq_id2", "start2", "end2") - other_vars <- if(everything) tidyselect::everything else function() NULL; + other_vars <- if (everything) tidyselect::everything else function() NULL x <- as_tibble(select(x, vars, other_vars())) # TODO: mutate_at - if at all x %<>% mutate_if(is.factor, as.character) - if(!has_vars(x, "strand")){ + if (!has_vars(x, "strand")) { # if strand is not given but "-" link strand is encoded as end-strand, # add strand and recode start-end x <- x %>% mutate(x, strand = ifelse((.data$start < .data$end) == (.data$start2 < .data$end2), "+", "-")) %>% swap_if(.data$start > .data$end, .data$start, .data$end) %>% swap_if(.data$start2 > .data$end2, .data$start2, .data$end2) - }else{ + } else { x$strand <- strand_chr(x$strand) } @@ -71,8 +71,10 @@ as_links.tbl_df <- function(x, seqs, ..., everything=TRUE){ #' @inheritParams as_links #' @param ... not used #' @keywords internal -layout_links <- function(x, seqs, keep="strand", adjacent_only = TRUE, - marginal=c("trim", "drop", "keep"), ...){ +#' @noRd +layout_links <- function( + x, seqs, keep = "strand", adjacent_only = TRUE, + marginal = c("trim", "drop", "keep"), ...) { marginal <- match.arg(marginal) # get rid of old layout x <- drop_link_layout(x, keep) @@ -80,9 +82,9 @@ layout_links <- function(x, seqs, keep="strand", adjacent_only = TRUE, # get layout vars necessary for projecting feats from seqs x <- add_link_layout_scaffold(x, seqs) - if(adjacent_only){ - x <- filter(x, abs(.data$y-.data$yend) == 1) - if(nrow(x)==0){ + if (adjacent_only) { + x <- filter(x, abs(.data$y - .data$yend) == 1) + if (nrow(x) == 0) { warning("No links found between adjacent genomes in provided order of genomes, consider reordering genomes") return(tibble()) } @@ -103,45 +105,50 @@ layout_links <- function(x, seqs, keep="strand", adjacent_only = TRUE, #' @order 2 #' @examples #' # Add all-vs-all whole-genome alignments -#' gggenomes(seqs=emale_seqs) %>% -#' add_links(links=emale_ava) + +#' gggenomes(seqs = emale_seqs) %>% +#' add_links(links = emale_ava) + #' geom_seq() + geom_link() #' #' @param .adjacent_only indicate whether links should be drawn only between vertically adjacent tracks #' @export -add_links <- function(x, ..., .adjacent_only=TRUE){ +add_links <- function(x, ..., .adjacent_only = TRUE) { UseMethod("add_links") } #' @export -add_links.gggenomes <- function(x, ..., .adjacent_only=TRUE){ - x$data <- add_links(x$data, ..., .adjacent_only=.adjacent_only) +add_links.gggenomes <- function(x, ..., .adjacent_only = TRUE) { + x$data <- add_links(x$data, ..., .adjacent_only = .adjacent_only) x } #' @export -add_links.gggenomes_layout <- function(x, ..., .adjacent_only=TRUE){ - if(!has_dots()) return(x) +add_links.gggenomes_layout <- function(x, ..., .adjacent_only = TRUE) { + if (!has_dots()) { + return(x) + } dot_exprs <- enexprs(...) # defuse before list(...) tracks <- as_tracks(list(...), dot_exprs, track_ids(x)) # convert to layouts - add_link_tracks(x, tracks, adjacent_only=.adjacent_only) + add_link_tracks(x, tracks, adjacent_only = .adjacent_only) } -add_link_tracks <- function(x, tracks, adjacent_only=TRUE){ +add_link_tracks <- function(x, tracks, adjacent_only = TRUE) { x$links <- c(x$links, purrr::map(tracks, as_links, get_seqs(x), - adjacent_only=adjacent_only)) # this is lossy, so + adjacent_only = adjacent_only + )) # this is lossy, so x$orig_links <- c(x$orig_links, purrr::map(tracks, as_orig_links, get_seqs(x))) # also store orig links for re-layout x } # add bin_id to orig links, required for focus -as_orig_links <- function(links, seqs){ - if(!has_vars("bin_id", "bin_id2")){ +as_orig_links <- function(links, seqs) { + if (!has_vars("bin_id", "bin_id2")) { links <- left_join(links, select(seqs, .data$bin_id, .data$seq_id), - by=shared_names(links, "seq_id", "bin_id")) - links <- left_join(links, select(seqs, bin_id2=.data$bin_id, seq_id2=.data$seq_id), - by=shared_names(links, "seq_id2", "bin_id2")) + by = shared_names(links, "seq_id", "bin_id") + ) + links <- left_join(links, select(seqs, bin_id2 = .data$bin_id, seq_id2 = .data$seq_id), + by = shared_names(links, "seq_id2", "bin_id2") + ) } links } @@ -150,54 +157,64 @@ as_orig_links <- function(links, seqs){ #' #' @param x link_layout #' @param keep features to keep +#' @return link_layout without unwanted features #' @export -drop_link_layout <- function(x, keep="strand"){ - drop <- c("y","x","xend","yend","xmin","xmax","strand", grep("^\\.", names(x), value=T)) +drop_link_layout <- function(x, keep = "strand") { + drop <- c("y", "x", "xend", "yend", "xmin", "xmax", "strand", grep("^\\.", names(x), value = T)) drop <- drop[!drop %in% keep] purrr::discard(x, names(x) %in% drop) } -add_link_layout_scaffold <- function(x, seqs){ - scaffold <- seqs %>% ungroup() %>% select( - seq_id=.data$seq_id, bin_id=.data$bin_id, y=.data$y, .seq_strand=.data$strand, .seq_x=.data$x, - .seq_start=.data$start, .seq_end=.data$end) - scaffold2 <- seqs %>% ungroup() %>% select( - seq_id2=.data$seq_id, bin_id2=.data$bin_id, yend=.data$y, .seq_strand2=.data$strand, .seq_x2=.data$x, - .seq_start2=.data$start, .seq_end2=.data$end) - - x <- inner_join(x, scaffold, by=shared_names(x, "seq_id", "bin_id")) - x <- inner_join(x, scaffold2, by=shared_names(x, "seq_id2", "bin_id2")) +add_link_layout_scaffold <- function(x, seqs) { + scaffold <- seqs %>% + ungroup() %>% + select( + seq_id = .data$seq_id, bin_id = .data$bin_id, y = .data$y, .seq_strand = .data$strand, .seq_x = .data$x, + .seq_start = .data$start, .seq_end = .data$end + ) + scaffold2 <- seqs %>% + ungroup() %>% + select( + seq_id2 = .data$seq_id, bin_id2 = .data$bin_id, yend = .data$y, .seq_strand2 = .data$strand, .seq_x2 = .data$x, + .seq_start2 = .data$start, .seq_end2 = .data$end + ) + + x <- inner_join(x, scaffold, by = shared_names(x, "seq_id", "bin_id")) + x <- inner_join(x, scaffold2, by = shared_names(x, "seq_id2", "bin_id2")) x } -trim_links_to_subseqs <- function(x, marginal){ - if(marginal == "drop"){ +trim_links_to_subseqs <- function(x, marginal) { + if (marginal == "drop") { x <- mutate(x, .marginal = FALSE, .marginal2 = FALSE) - }else{ + } else { x <- mutate(x, .marginal = is_marginal(.data$start, .data$end, .data$.seq_start, .data$.seq_end), - .marginal2 = is_marginal(.data$start2, .data$end2, .data$.seq_start2, .data$.seq_end2)) + .marginal2 = is_marginal(.data$start2, .data$end2, .data$.seq_start2, .data$.seq_end2) + ) } - if(marginal == "trim"){ + if (marginal == "trim") { x %<>% mutate( start = ifelse(.data$.marginal & .data$start < .data$.seq_start, .data$.seq_start, .data$start), end = ifelse(.data$.marginal & .data$end > .data$.seq_end, .data$.seq_end, .data$end), start2 = ifelse(.data$.marginal2 & .data$start2 < .data$.seq_start2, .data$.seq_start2, .data$start2), - end2 = ifelse(.data$.marginal2 & .data$end2 > .data$.seq_end2, .data$.seq_end2, .data$end2)) + end2 = ifelse(.data$.marginal2 & .data$end2 > .data$.seq_end2, .data$.seq_end2, .data$end2) + ) } # marginals are now also fully contained - filter(x, + filter( + x, .data$.seq_start <= .data$start & .data$end <= .data$.seq_end | .data$.marginal, .data$.seq_start2 <= .data$start2 & .data$end2 <= .data$.seq_end2 | .data$.marginal2, ) } -project_links <- function(x){ +project_links <- function(x) { dummy <- rep("+", nrow(x)) mutate(x, - x = x(.data$start, .data$end, dummy, .data$.seq_x, .data$.seq_start, .data$.seq_strand), - xend = xend(.data$start, .data$end, dummy, .data$.seq_x, .data$.seq_start, .data$.seq_strand), + x = x(.data$start, .data$end, dummy, .data$.seq_x, .data$.seq_start, .data$.seq_strand), + xend = xend(.data$start, .data$end, dummy, .data$.seq_x, .data$.seq_start, .data$.seq_strand), xmin = x(.data$start2, .data$end2, .data$strand, .data$.seq_x2, .data$.seq_start2, .data$.seq_strand2), xmax = xend(.data$start2, .data$end2, .data$strand, .data$.seq_x2, .data$.seq_start2, .data$.seq_strand2) ) diff --git a/R/pick.R b/R/pick.R index 5b1a172..b541446 100644 --- a/R/pick.R +++ b/R/pick.R @@ -88,6 +88,7 @@ #' or select-helper. #' @param x gggenomes object #' @param ... bins/seqs to pick, select-like expression. +#' @return gggenomes object with selected bins and seqs. #' @export pick <- function(x, ...) { if (!has_dots()) { @@ -100,6 +101,7 @@ pick <- function(x, ...) { #' top left) or select-helper. #' @param .bins scope for positional arguments, select-like expression, enclose #' multiple arguments with `c()`!. +#' @return gggenomes object with selected seqs. #' @export pick_seqs <- function(x, ..., .bins = everything()) { if (!has_dots()) { @@ -112,6 +114,7 @@ pick_seqs <- function(x, ..., .bins = everything()) { #' seqs, keep rest as is. #' @param .bins scope for positional arguments, select-like expression, enclose #' multiple arguments with `c()`! +#' @return gggenomes object with selected seqs. #' @export pick_seqs_within <- function(x, ..., .bins = everything()) { if (!has_dots()) { @@ -123,6 +126,7 @@ pick_seqs_within <- function(x, ..., .bins = everything()) { #' @describeIn pick align bins with the leaves in a given phylogenetic tree. #' @param tree a phylogenetic tree in [ggtree::ggtree] or [`ape::ape-package`]-"phylo" format. #' @param infer_bin_id an expression to extract bin_ids from the tree data. +#' @return gggenomes object with seqs selected by tree order. #' @export pick_by_tree <- function(x, tree, infer_bin_id = .data$label) { if (!requireNamespace("ggtree", quietly = TRUE)) { diff --git a/R/position_strandpile.R b/R/position_strandpile.R index 1acb19e..8621e8a 100644 --- a/R/position_strandpile.R +++ b/R/position_strandpile.R @@ -18,6 +18,7 @@ #' @param base How to align the stack relative to the sequence. 0 to center the #' lowest stack level on the sequence, 1 to put forward/reverse sequence one #' half offset above/below the sequence line. +#' @return A ggproto object to be used in `geom_gene()`. #' @export #' @examples #' library(patchwork) @@ -26,46 +27,57 @@ #' #' f0 <- tibble::tibble( #' seq_id = pull_seqs(p)$seq_id[1], -#' start = 1:20*1000, +#' start = 1:20 * 1000, #' end = start + 2500, -#' strand = rep(c("+", "-"), length(start)/2) +#' strand = rep(c("+", "-"), length(start) / 2) #' ) #' -#' sixframe <- function(x, strand) as.character((x%%3 + 1) * strand_int(strand)) +#' sixframe <- function(x, strand) as.character((x %% 3 + 1) * strand_int(strand)) #' #' p1 <- p + geom_gene() -#' p2 <- p + geom_gene(aes(fill=strand), position="strand") -#' p3 <- p + geom_gene(aes(fill=strand), position=position_strand(flip=TRUE, base=0.2)) -#' p4 <- p + geom_gene(aes(fill=sixframe(x,strand)), position="sixframe") -#' p5 <- p %>% add_feats(f0) + geom_gene() + geom_feat(aes(color=strand)) -#' p6 <- p %>% add_feats(f0) + geom_gene() + geom_feat(aes(color=strand), position="strandpile") -#' p1 + p2 + p3 + p4 + p5 + p6 + plot_layout(ncol=3, guides="collect") & ylim(2.5,0.5) +#' p2 <- p + geom_gene(aes(fill = strand), position = "strand") +#' p3 <- p + geom_gene(aes(fill = strand), position = position_strand(flip = TRUE, base = 0.2)) +#' p4 <- p + geom_gene(aes(fill = sixframe(x, strand)), position = "sixframe") +#' p5 <- p %>% add_feats(f0) + geom_gene() + geom_feat(aes(color = strand)) +#' p6 <- p %>% add_feats(f0) + geom_gene() + geom_feat(aes(color = strand), position = "strandpile") +#' p1 + p2 + p3 + p4 + p5 + p6 + plot_layout(ncol = 3, guides = "collect") & ylim(2.5, 0.5) #' position_strand <- function(offset = 0.1, flip = FALSE, grouped = NULL, - base = offset/2){ - ggproto(NULL, PositionStrand, offset = offset, flip = flip, - grouped = grouped, base = base) + base = offset / 2) { + ggproto(NULL, PositionStrand, + offset = offset, flip = flip, + grouped = grouped, base = base + ) } #' @rdname position_strand #' @export -position_pile <- function(offset = 0.1, gap=1, flip = FALSE, - grouped = NULL, base = 0){ - ggproto(NULL, PositionPile, offset = offset, gap = gap, - flip = flip, grouped = grouped, base = base) +position_pile <- function( + offset = 0.1, gap = 1, flip = FALSE, + grouped = NULL, base = 0) { + ggproto(NULL, PositionPile, + offset = offset, gap = gap, + flip = flip, grouped = grouped, base = base + ) } #' @rdname position_strand #' @export -position_strandpile <- function(offset = 0.1, gap=1, flip = FALSE, - grouped = NULL, base = offset*1.5){ - ggproto(NULL, PositionStrandpile, offset = offset, gap = gap, - flip = flip, grouped = grouped, base = base) +position_strandpile <- function( + offset = 0.1, gap = 1, flip = FALSE, + grouped = NULL, base = offset * 1.5) { + ggproto(NULL, PositionStrandpile, + offset = offset, gap = gap, + flip = flip, grouped = grouped, base = base + ) } #' @rdname position_strand #' @export -position_sixframe <- function(offset = 0.1, flip = FALSE, grouped = NULL, - base = offset/2){ - ggproto(NULL, PositionSixframe, offset = offset, flip = flip, - grouped = grouped, base = base, framewise=TRUE) +position_sixframe <- function( + offset = 0.1, flip = FALSE, grouped = NULL, + base = offset / 2) { + ggproto(NULL, PositionSixframe, + offset = offset, flip = flip, + grouped = grouped, base = base, framewise = TRUE + ) } #' @rdname position_strand #' @format NULL @@ -79,66 +91,73 @@ PositionStrandpile <- ggproto("PositionStrandpile", Position, flip = FALSE, grouped = NULL, framewise = FALSE, - required_aes = c("x","xend","y"), + required_aes = c("x", "xend", "y"), optional_aes = c("yend"), - setup_params = function(self, data){ + setup_params = function(self, data) { # DO NOT OVERWRITE self$grouped - it will propagate to subsequent # instanciations in other plots! - if(is.null(self$grouped)) # assume grouped for geneish geoms + if (is.null(self$grouped)) { # assume grouped for geneish geoms grouped <- has_vars(data, c("type")) - else + } else { grouped <- self$grouped + } - list(offset = self$offset, strandwise = self$strandwise, base=self$base, - gap=self$gap, flip = self$flip, - grouped = grouped, framewise = self$framewise) + list( + offset = self$offset, strandwise = self$strandwise, base = self$base, + gap = self$gap, flip = self$flip, + grouped = grouped, framewise = self$framewise + ) }, compute_panel = function(data, params, scales) { - if(!params$strandwise && !params$framewise && is.na(params$gap)){ + if (!params$strandwise && !params$framewise && is.na(params$gap)) { return(data) # nothing to do } - if(params$framewise){ + if (params$framewise) { data <- data %>% mutate( - is_reverse = xor(x>xend, params$flip), - yoff = (params$base + params$offset * x %% 3) * ifelse(is_reverse, -1,1) + is_reverse = xor(x > xend, params$flip), + yoff = (params$base + params$offset * x %% 3) * ifelse(is_reverse, -1, 1) ) - }else if(is.na(params$gap)){ # strand only + } else if (is.na(params$gap)) { # strand only data <- data %>% mutate( - is_reverse = xor(x>xend, params$flip), - yoff = params$base * ifelse(is_reverse, -1,1) + is_reverse = xor(x > xend, params$flip), + yoff = params$base * ifelse(is_reverse, -1, 1) ) - }else if(params$grouped){ # i.e. multi-exon as one unit + } else if (params$grouped) { # i.e. multi-exon as one unit # not pretty, but works for now data_grouped <- data %>% - dplyr::group_by(y,group) %>% + dplyr::group_by(y, group) %>% dplyr::summarize( - start=min(x,xend)+1, end=max(x,xend), is_reverse=ifelse(params$strandwise, - xor(min(x)>max(xend), params$flip), params$flip)) + start = min(x, xend) + 1, end = max(x, xend), is_reverse = ifelse(params$strandwise, + xor(min(x) > max(xend), params$flip), params$flip + ) + ) - data_grouped <- data_grouped %>% dplyr::group_by(y,is_reverse) %>% + data_grouped <- data_grouped %>% + dplyr::group_by(y, is_reverse) %>% dplyr::mutate(yoff = (params$base + params$offset * - stack_pos(start,end,params$gap)) * - ifelse(is_reverse, -1,1)) %>% + stack_pos(start, end, params$gap)) * + ifelse(is_reverse, -1, 1)) %>% dplyr::ungroup() - data <- left_join(data, select(data_grouped, y, group, yoff), by=c("y", "group")) - - }else{ + data <- left_join(data, select(data_grouped, y, group, yoff), by = c("y", "group")) + } else { data <- data %>% dplyr::mutate( - start=pmin(x,xend)+1, end=pmax(x,xend), - is_reverse=if(params$strandwise) xor(x>xend, params$flip) else params$flip) %>% - dplyr::group_by(y,is_reverse) %>% + start = pmin(x, xend) + 1, end = pmax(x, xend), + is_reverse = if (params$strandwise) xor(x > xend, params$flip) else params$flip + ) %>% + dplyr::group_by(y, is_reverse) %>% dplyr::mutate(yoff = (params$base + params$offset * - stack_pos(start,end,params$gap)) * - ifelse(is_reverse, -1,1)) %>% + stack_pos(start, end, params$gap)) * + ifelse(is_reverse, -1, 1)) %>% dplyr::ungroup() } - if("yend" %in% names(data)) - data <- mutate(data, y = y + yoff, yend = yend + yoff, is_reverse=NULL, yoff=NULL) - else - data <- mutate(data, y = y + yoff, is_reverse=NULL, yoff=NULL) + if ("yend" %in% names(data)) { + data <- mutate(data, y = y + yoff, yend = yend + yoff, is_reverse = NULL, yoff = NULL) + } else { + data <- mutate(data, y = y + yoff, is_reverse = NULL, yoff = NULL) + } data } ) @@ -159,14 +178,14 @@ PositionStrand <- ggproto("PositionStrand", PositionStrandpile, gap = NA, base = PositionSixframe <- ggproto("PositionSixframe", PositionStrand, framewise = TRUE, base = 0.05) -stack_pos <- function(start,end,gap=0){ - if(!is.na(gap)){ - end <- end+gap - i <- end< start # set negtive width feats to zero width - start[i] <- (start[i] + end[i])/2 +stack_pos <- function(start, end, gap = 0) { + if (!is.na(gap)) { + end <- end + gap + i <- end < start # set negtive width feats to zero width + start[i] <- (start[i] + end[i]) / 2 end[i] <- start[i] - y <- IRanges::disjointBins(IRanges::IRanges(start=start, end=end)) -1 - }else{ + y <- IRanges::disjointBins(IRanges::IRanges(start = start, end = end)) - 1 + } else { y <- rep(0, length(start)) } y diff --git a/R/position_variant.R b/R/position_variant.R index 9c9c8c2..0c9be74 100644 --- a/R/position_variant.R +++ b/R/position_variant.R @@ -1,77 +1,81 @@ #' Plot types of mutations with different offsets -#' +#' #' `position_variant()` allows the user to plot the different mutation types (e.g. del, ins, snps) at different offsets from the base. -#' This can especially be useful to highlight in which regions certain types of mutations have higher prevalence. +#' This can especially be useful to highlight in which regions certain types of mutations have higher prevalence. #' This position adjustment is most relevant for the analysis/visualization of VCF files with the function `geom_variant()`. -#' -#' @param offset Shifts the data up/down based on the type of mutation. -#' By default `offset = c(del=0.1, snp=0, ins=-0.1)`. -#' The user can supply an own vector to `offset` to indicate at which offsets the different mutation types should be plotted. +#' +#' @param offset Shifts the data up/down based on the type of mutation. +#' By default `offset = c(del=0.1, snp=0, ins=-0.1)`. +#' The user can supply an own vector to `offset` to indicate at which offsets the different mutation types should be plotted. #' *Types of mutations that have not been specified within the vector, will be plotted with an offset of 0.* -#' @param base How to align the offsets relative to the sequence. At base = 0, plotting of the offsets starts -#' from the sequence. `base` thus moves the entire feature up/down. -#'@export -#'@examples -#' # Creation of example data. +#' @param base How to align the offsets relative to the sequence. At base = 0, plotting of the offsets starts +#' from the sequence. `base` thus moves the entire feature up/down. +#' @return A ggproto object to be used in `geom_variant()`. +#' @export +#' @examples +#' # Creation of example data. #' testposition <- tibble::tibble( -#' type = c("ins", "snp", "snp", "del", "del", "snp", "snp", "ins", "snp", "ins", "snp"), -#' start = c(10, 20, 30, 35, 40, 60, 65, 90, 90, 100, 120), -#' end = start + 1, -#' seq_id = c(rep("A", 11))) +#' type = c("ins", "snp", "snp", "del", "del", "snp", "snp", "ins", "snp", "ins", "snp"), +#' start = c(10, 20, 30, 35, 40, 60, 65, 90, 90, 100, 120), +#' end = start + 1, +#' seq_id = c(rep("A", 11)) +#' ) #' testseq <- tibble::tibble( -#' seq_id = "A", -#' start = 0, -#' end = 150, -#' length = end-start) +#' seq_id = "A", +#' start = 0, +#' end = 150, +#' length = end - start +#' ) #' #' p <- gggenomes(seqs = testseq, feats = testposition) #' -#' #This first plot shows what is being plotted when only geom_variant is called +#' # This first plot shows what is being plotted when only geom_variant is called #' p + geom_variant() #' -#' #Next lets use position_variant, and change the shape aesthetic by column `type` -#' p + geom_variant(aes(shape = type), position = position_variant()) +#' # Next lets use position_variant, and change the shape aesthetic by column `type` +#' p + geom_variant(aes(shape = type), position = position_variant()) #' -#' #Now lets create a plot with different offsets by inserting a self-created vector. +#' # Now lets create a plot with different offsets by inserting a self-created vector. #' p + geom_variant( #' aes(shape = type), -#' position = position_variant(c(del=0.4, ins =-0.4)) +#' position = position_variant(c(del = 0.4, ins = -0.4)) #' ) + scale_shape_variant() #' -#' #Changing the base will shift all points up/down relatively from the sequence. +#' # Changing the base will shift all points up/down relatively from the sequence. #' p + geom_variant( #' aes(shape = type), -#' position=position_variant(base = 0.5) +#' position = position_variant(base = 0.5) #' ) + geom_seq() -#' -position_variant <- function(offset = c(del = 0.1, snp = 0, ins = -0.1), base = 0){ +#' +position_variant <- function(offset = c(del = 0.1, snp = 0, ins = -0.1), base = 0) { ggproto(NULL, PositionVariant, offset = offset, base = base) } PositionVariant <- ggproto("PositionVariant", Position, - offset = c(del = 0.1, snp = 0, ins = -0.1), - base = 0, - required_aes = c("y"), - optional_aes = c("yend"), - setup_params = function(self, data){ + offset = c(del = 0.1, snp = 0, ins = -0.1), + base = 0, + required_aes = c("y"), + optional_aes = c("yend"), + setup_params = function(self, data) { + list(offset = self$offset, base = self$base) + }, + compute_panel = function(data, params, scales) { + offsetdf <- tibble::enframe(params$offset) + # Enframe creates a dataframe where offset values are stored in column 'value' and the type of mutation in column `name`. + data <- left_join(data, offsetdf, by = c("type" = "name")) + data <- replace_na(data, list(value = 0)) + + # Gives a warning when the offset of certain (mutation) types is not mentioned. + data <- mutate(data, logical = ifelse(data$type %in% offsetdf$name, TRUE, FALSE)) + if (sum(data$logical) / length(data$logical) < 1) { + rlang::warn("Some mutation types are not mentioned within the offset argument. These types will have an offset of 0 by default") + } - - list(offset = self$offset, base = self$base) - - }, - compute_panel = function(data, params, scales){ - offsetdf <- tibble::enframe(params$offset) - #Enframe creates a dataframe where offset values are stored in column 'value' and the type of mutation in column `name`. - data <- left_join(data, offsetdf, by = c("type" = "name")) - data <- replace_na(data, list(value = 0)) - - #Gives a warning when the offset of certain (mutation) types is not mentioned. - data <- mutate(data, logical = ifelse(data$type %in% offsetdf$name, TRUE, FALSE)) - if(sum(data$logical) / length(data$logical) < 1) {rlang::warn("Some mutation types are not mentioned within the offset argument. These types will have an offset of 0 by default") } - - if("yend" %in% names(data)) - data <- mutate(data, y= y + as.numeric(value) + params$base, yend = yend + as.numeric(value) + params$base) - else - data <- mutate(data, y = y + as.numeric(value) + params$base) - data - }) + if ("yend" %in% names(data)) { + data <- mutate(data, y = y + as.numeric(value) + params$base, yend = yend + as.numeric(value) + params$base) + } else { + data <- mutate(data, y = y + as.numeric(value) + params$base) + } + data + } +) diff --git a/R/pull_tracks.R b/R/pull_tracks.R index 5fd515b..23bc848 100644 --- a/R/pull_tracks.R +++ b/R/pull_tracks.R @@ -21,107 +21,116 @@ #' seqs table into the bins table. #' @param .track_type restrict to these types of tracks - any combination of #' "seqs", "feats", "links". +#' @return A function that pulls the specified track from a gggenomes object. #' @examples #' #' gg <- gggenomes(emale_genes, emale_seqs, emale_tirs, emale_ava) -#' gg %>% track_info() # info about track ids, positions and types +#' gg %>% track_info() # info about track ids, positions and types #' #' # get first feat track that isn't "genes" (all equivalent) -#' gg %>% pull_feats() # easiest -#' gg %>% pull_feats(feats) # by id -#' gg %>% pull_feats(1) # by position -#' gg %>% pull_feats(2, .ignore=NULL) # default .ignore="genes" +#' gg %>% pull_feats() # easiest +#' gg %>% pull_feats(feats) # by id +#' gg %>% pull_feats(1) # by position +#' gg %>% pull_feats(2, .ignore = NULL) # default .ignore="genes" #' #' # get "seqs" track (always track #1) #' gg %>% pull_seqs() #' #' # plot integrated transposons and GC content for some viral genomes -#' gg <- gggenomes(seqs=emale_seqs, feats=list(emale_ngaros, GC=emale_gc)) +#' gg <- gggenomes(seqs = emale_seqs, feats = list(emale_ngaros, GC = emale_gc)) #' gg + geom_seq() + -#' geom_feat(color="skyblue") + # defaults to data=feats() -#' geom_line(aes(x, y+score-.6, group=y), data=feats(GC), color="gray60") +#' geom_feat(color = "skyblue") + # defaults to data=feats() +#' geom_line(aes(x, y + score - .6, group = y), data = feats(GC), color = "gray60") #' @describeIn pull_track by default pulls out the first feat track not named #' "genes". #' @export -feats <- function(.track_id=1, ..., .ignore="genes", .geneify=FALSE){ +feats <- function(.track_id = 1, ..., .ignore = "genes", .geneify = FALSE) { dots <- quos(...) - function(.x, ...){ - pull_feats(.x, {{.track_id}}, !!! dots, .ignore=.ignore, .geneify=.geneify) + function(.x, ...) { + pull_feats(.x, {{ .track_id }}, !!!dots, .ignore = .ignore, .geneify = .geneify) } } #' @describeIn pull_track by default pulls out the first feat track. +#' @return A function that pulls the specified track from a gggenomes object. #' @export -feats0 <- function(.track_id=1, ..., .ignore=NA, .geneify=FALSE){ +feats0 <- function(.track_id = 1, ..., .ignore = NA, .geneify = FALSE) { dots <- quos(...) - function(.x, ...){ - pull_feats(.x, {{.track_id}}, !!! dots, .ignore=.ignore, .geneify=.geneify) + function(.x, ...) { + pull_feats(.x, {{ .track_id }}, !!!dots, .ignore = .ignore, .geneify = .geneify) } } #' @describeIn pull_track pulls out the first feat track (genes), filtering #' for records with `type=="CDS"`, and adding a dummy `gene_id` column if missing #' to play nice with multi-exon `geom`s. +#' @return A function that pulls the specified track from a gggenomes object. #' @export -genes <- function(..., .gene_types=c("CDS", "mRNA", "tRNA", "tmRNA", "ncRNA", "rRNA")){ +genes <- function(..., .gene_types = c("CDS", "mRNA", "tRNA", "tmRNA", "ncRNA", "rRNA")) { dots <- quos(...) - function(.x, ...){ - pull_genes(.x, !!! dots, .gene_types=.gene_types) + function(.x, ...) { + pull_genes(.x, !!!dots, .gene_types = .gene_types) } } #' @describeIn pull_track by default pulls out the first link track. +#' @return A function that pulls the specified track from a gggenomes object. #' @export -links <- function(.track_id=1, ..., .ignore=NULL, .adjacent_only=NULL){ +links <- function(.track_id = 1, ..., .ignore = NULL, .adjacent_only = NULL) { dots <- quos(...) - function(.x, ...){ - pull_links(.x, {{.track_id}}, !!! dots, .ignore=.ignore, .adjacent_only=.adjacent_only) + function(.x, ...) { + pull_links(.x, {{ .track_id }}, !!!dots, .ignore = .ignore, .adjacent_only = .adjacent_only) } } #' @describeIn pull_track pulls out the seqs track (there is only one). +#' @return A function that pulls the specified track from a gggenomes object. #' @export -seqs <- function(...){ +seqs <- function(...) { dots <- quos(...) - function(.x, ...){ - pull_seqs(.x, !!! dots) + function(.x, ...) { + pull_seqs(.x, !!!dots) } } #' @describeIn pull_track pulls out a binwise summary table of the seqs data powering #' `geom_bin_*()` calls. The bin table is not a real track, but recomputed #' on-the-fly. +#' @return A function that pulls the specified track from a gggenomes object. #' @export -bins <- function(..., .group=vars()){ +bins <- function(..., .group = vars()) { dots <- quos(...) - function(.x, ...){ - pull_bins(.x, !!! dots, .group=.group) + function(.x, ...) { + pull_bins(.x, !!!dots, .group = .group) } } #' @describeIn pull_track pulls from all tracks in order seqs, feats, links. +#' @return A function that pulls the specified track from a gggenomes object. #' @export -track <- function(.track_id=1, ..., .track_type=NULL, .ignore=NULL){ +track <- function(.track_id = 1, ..., .track_type = NULL, .ignore = NULL) { dots <- quos(...) - function(.x, ...){ - pull_track(.x, {{.track_id}}, !!! dots, .track_type=.track_type, .ignore=.ignore) + function(.x, ...) { + pull_track(.x, {{ .track_id }}, !!!dots, .track_type = .track_type, .ignore = .ignore) } } #' @rdname pull_track #' @export -pull_feats <- function(.x, .track_id=1, ..., .ignore="genes", .geneify=FALSE){ +pull_feats <- function(.x, .track_id = 1, ..., .ignore = "genes", .geneify = FALSE) { UseMethod("pull_feats") } #' @export -pull_feats.gggenomes <- function(.x, .track_id=1, ..., .ignore="genes", .geneify=FALSE){ - pull_feats(.x$data, {{.track_id}}, ..., .ignore=.ignore, .geneify=.geneify) +pull_feats.gggenomes <- function(.x, .track_id = 1, ..., .ignore = "genes", .geneify = FALSE) { + pull_feats(.x$data, {{ .track_id }}, ..., .ignore = .ignore, .geneify = .geneify) } #' @export -pull_feats.gggenomes_layout <- function(.x, .track_id=1, ..., .ignore="genes", - .geneify=FALSE){ - track <- pull_track(.x, {{.track_id}}, ..., .track_type="feats", .ignore=.ignore) - if(.geneify){ +pull_feats.gggenomes_layout <- function( + .x, .track_id = 1, ..., .ignore = "genes", + .geneify = FALSE) { + track <- pull_track(.x, {{ .track_id }}, ..., .track_type = "feats", .ignore = .ignore) + if (.geneify) { track <- introduce(track, - type="CDS", introns = list(NULL), - geom_id = paste0("geom_", row_number())) - if(all(is.na(track$type))){ + type = "CDS", introns = list(NULL), + geom_id = paste0("geom_", row_number()) + ) + if (all(is.na(track$type))) { inform('Only saw `type=NA` in genes and will treat everything as `type="CDS"`.') track$type <- "CDS" } @@ -131,86 +140,97 @@ pull_feats.gggenomes_layout <- function(.x, .track_id=1, ..., .ignore="genes", #' @rdname pull_track #' @export -pull_genes <- function(.x, ..., .gene_types=c("CDS", "mRNA", "tRNA", "tmRNA", - "ncRNA", "rRNA")){ +pull_genes <- function(.x, ..., .gene_types = c( + "CDS", "mRNA", "tRNA", "tmRNA", + "ncRNA", "rRNA" + )) { UseMethod("pull_genes") } #' @export -pull_genes.gggenomes <- function(.x, ..., .gene_types=c("CDS", "mRNA", "tRNA", - "tmRNA", "ncRNA", "rRNA")){ - pull_genes(.x$data, ..., .gene_types=.gene_types) +pull_genes.gggenomes <- function(.x, ..., .gene_types = c( + "CDS", "mRNA", "tRNA", + "tmRNA", "ncRNA", "rRNA" + )) { + pull_genes(.x$data, ..., .gene_types = .gene_types) } #' @export -pull_genes.gggenomes_layout <- function(.x, ..., .gene_types=c("CDS", "mRNA", - "tRNA", "tmRNA", "ncRNA", "rRNA")){ - track <- pull_feats(.x, 1, ..., .ignore=NULL, .geneify=TRUE) - if(length(.gene_types) > 0) track <- filter(track, .data$type %in% .gene_types) +pull_genes.gggenomes_layout <- function(.x, ..., .gene_types = c( + "CDS", "mRNA", + "tRNA", "tmRNA", "ncRNA", "rRNA" + )) { + track <- pull_feats(.x, 1, ..., .ignore = NULL, .geneify = TRUE) + if (length(.gene_types) > 0) track <- filter(track, .data$type %in% .gene_types) track } #' @rdname pull_track #' @export -pull_links <- function(.x, .track_id=1, ..., .ignore=NULL, .adjacent_only=NULL){ +pull_links <- function(.x, .track_id = 1, ..., .ignore = NULL, .adjacent_only = NULL) { UseMethod("pull_links") } #' @export -pull_links.gggenomes <- function(.x, .track_id=1, ..., .ignore=NULL, .adjacent_only=NULL){ - pull_links(.x$data, {{.track_id}}, ..., .ignore=.ignore, .adjacent_only=.adjacent_only) +pull_links.gggenomes <- function(.x, .track_id = 1, ..., .ignore = NULL, .adjacent_only = NULL) { + pull_links(.x$data, {{ .track_id }}, ..., .ignore = .ignore, .adjacent_only = .adjacent_only) } #' @export -pull_links.gggenomes_layout <- function(.x, .track_id=1, ..., .ignore=NULL, .adjacent_only=NULL){ - track <- pull_track(.x, {{.track_id}}, ..., .track_type="links", .ignore=.ignore) - if(isTRUE(.adjacent_only)) track <- filter(track, abs(.data$y-.data$yend)==1) - if(isFALSE(.adjacent_only) && .x$args_links$adjacent_only) - rlang::warn('`.adjacent_only=FALSE` here has no effect because gggenomes was invoked with `adjacent_only=TRUE`') +pull_links.gggenomes_layout <- function(.x, .track_id = 1, ..., .ignore = NULL, .adjacent_only = NULL) { + track <- pull_track(.x, {{ .track_id }}, ..., .track_type = "links", .ignore = .ignore) + if (isTRUE(.adjacent_only)) track <- filter(track, abs(.data$y - .data$yend) == 1) + if (isFALSE(.adjacent_only) && .x$args_links$adjacent_only) { + rlang::warn("`.adjacent_only=FALSE` here has no effect because gggenomes was invoked with `adjacent_only=TRUE`") + } track } #' @rdname pull_track #' @export -pull_seqs <- function(.x, ...){ +pull_seqs <- function(.x, ...) { UseMethod("pull_seqs") } #' @export -pull_seqs.gggenomes <- function(.x, ...){ +pull_seqs.gggenomes <- function(.x, ...) { pull_seqs(.x$data, ...) } #' @export -pull_seqs.gggenomes_layout <- function(.x, ...){ +pull_seqs.gggenomes_layout <- function(.x, ...) { dplyr::filter(get_seqs(.x), ...) } #' @rdname pull_track #' @export -pull_bins <- function(.x, ..., .group=vars()){ +pull_bins <- function(.x, ..., .group = vars()) { UseMethod("pull_bins") } #' @export -pull_bins.gggenomes <- function(.x, ..., .group=vars()){ - pull_bins(.x$data, ..., .group=.group) +pull_bins.gggenomes <- function(.x, ..., .group = vars()) { + pull_bins(.x$data, ..., .group = .group) } #' @rdname pull_track #' @export -pull_bins.gggenomes_layout <- function(.x, ..., .group=vars()){ +pull_bins.gggenomes_layout <- function(.x, ..., .group = vars()) { .group <- c(vars(bin_id), .group) - get_seqs(.x) %>% dplyr::filter(...) %>% dplyr::group_by(!!!.group) %>% - summarize(ymin = min(.data$y), ymax = max(.data$y), y = (.data$ymin+.data$ymax)/2, - x = min(.data$x,.data$xend), xend = max(.data$x,.data$xend)) %>% + get_seqs(.x) %>% + dplyr::filter(...) %>% + dplyr::group_by(!!!.group) %>% + summarize( + ymin = min(.data$y), ymax = max(.data$y), y = (.data$ymin + .data$ymax) / 2, + x = min(.data$x, .data$xend), xend = max(.data$x, .data$xend) + ) %>% ungroup() } #' @rdname pull_track #' @export -pull_track <- function(.x, .track_id=1, ..., .track_type=NULL, .ignore=NULL){ +pull_track <- function(.x, .track_id = 1, ..., .track_type = NULL, .ignore = NULL) { UseMethod("pull_track") } #' @export -pull_track.gggenomes <- function(.x, .track_id=1, ..., .track_type=NULL, .ignore=NULL){ - pull_track(.x$data, {{.track_id}}, ..., .track_type=.track_type, .ignore=.ignore) +pull_track.gggenomes <- function(.x, .track_id = 1, ..., .track_type = NULL, .ignore = NULL) { + pull_track(.x$data, {{ .track_id }}, ..., .track_type = .track_type, .ignore = .ignore) } #' @export -pull_track.gggenomes_layout <- function(.x, .track_id=1, ..., .track_type=NULL, .ignore=NULL){ - track_id <- vars_track(.x, {{.track_id}}, track_type=.track_type, ignore=.ignore) +pull_track.gggenomes_layout <- function(.x, .track_id = 1, ..., .track_type = NULL, .ignore = NULL) { + track_id <- vars_track(.x, {{ .track_id }}, track_type = .track_type, ignore = .ignore) dplyr::filter(.x[[track_type(.x, track_id)]][[track_id]], ...) } @@ -225,45 +245,50 @@ pull_track.gggenomes_layout <- function(.x, .track_id=1, ..., .track_type=NULL, #' selection #' @param ignore names of tracks to ignore when selecting by position. #' @return The selected track_id as an unnamed string -vars_track <- function(x, track_id, track_type = c("seqs", "feats", "links"), - ignore = NULL){ +#' @export +vars_track <- function( + x, track_id, track_type = c("seqs", "feats", "links"), + ignore = NULL) { track_type <- match_arg(track_type, several.ok = T) track_ids <- track_ids(x, track_type) # only ignore in integer position context - if(!is.null(ignore) && !quo_is_symbolic(enquo(track_id)) && - is_integerish(track_id)){ + if (!is.null(ignore) && !quo_is_symbolic(enquo(track_id)) && + is_integerish(track_id)) { track_ids <- setdiff(track_ids, ignore) } - if(length(track_ids) < 1){ + if (length(track_ids) < 1) { abort(c("Track not found", paste("Tracks ignored by position:", comma(ignore)))) } - tryCatch(tidyselect::vars_pull(track_ids, {{track_id}}), + tryCatch(tidyselect::vars_pull(track_ids, {{ track_id }}), # this code has to be here - calling `error=fun_defined_elsewhere` causes # issue with accessing local variables - error = function(cnd){ - if(inherits(cnd,"vctrs_error_subscript")){ + error = function(cnd) { + if (inherits(cnd, "vctrs_error_subscript")) { class(cnd) <- c("rlang_error", "error", "condition") cnd$message <- vars_track_error(cnd$i, track_ids, ignore) - }else{ + } else { m <- str_match(cnd$message, "object (.*) not found") - if(!is.na(m[1,1])){ - cnd$message <- vars_track_error(m[1,2], track_ids, ignore) + if (!is.na(m[1, 1])) { + cnd$message <- vars_track_error(m[1, 2], track_ids, ignore) } } stop(cnd) - }) + } + ) } #' Error messages for vars_track #' @keywords internal -vars_track_error <- function(bad_value, track_ids, ignore){ - if(is_function(bad_value)) bad_value <- "" - if(is.numeric(bad_value)) bad_value <- as.character(bad_value) +#' @noRd +vars_track_error <- function(bad_value, track_ids, ignore) { + if (is_function(bad_value)) bad_value <- "" + if (is.numeric(bad_value)) bad_value <- as.character(bad_value) c( paste("Track", as_name(bad_value), "not found"), paste0("Available tracks: ", comma(track_ids), " (", length(track_ids), ")"), - paste("Tracks ignore by position:", comma(ignore))) + paste("Tracks ignore by position:", comma(ignore)) + ) } diff --git a/R/ranges.R b/R/ranges.R index c6e848b..2666e2b 100644 --- a/R/ranges.R +++ b/R/ranges.R @@ -9,40 +9,45 @@ #' @export #' @examples #' in_range(1:5, 2, 4) -#' in_range(1:5, 2, 4, closed=c(FALSE, TRUE)) # left-open +#' in_range(1:5, 2, 4, closed = c(FALSE, TRUE)) # left-open #' in_range(1:5, 6:2, 3) # vector of boundaries, single values recycle #' #' #' # plays nicely with dplyr -#' df <- tibble::tibble(x=rep(4,5), left=1:5, right=3:7) +#' df <- tibble::tibble(x = rep(4, 5), left = 1:5, right = 3:7) #' dplyr::mutate(df, -#' closed=in_range(x, left, right, TRUE), -#' open=in_range(x, left, right, FALSE)) -in_range <- function(x, left, right, closed = TRUE){ - if(length(closed) == 1) closed <- rep(closed, 2) +#' closed = in_range(x, left, right, TRUE), +#' open = in_range(x, left, right, FALSE) +#' ) +in_range <- function(x, left, right, closed = TRUE) { + if (length(closed) == 1) closed <- rep(closed, 2) n <- length(x) - if(length(left) == 1) left <- rep(left, n) - if(length(right) == 1) right <- rep(right, n) + if (length(left) == 1) left <- rep(left, n) + if (length(right) == 1) right <- rep(right, n) - if(length(right) != n || length(left) != n) + if (length(right) != n || length(left) != n) { rlang::abort("left and right need to of length 1 or same length as x") + } # left and right are not necessarily sorted swap <- left > right - if(any(swap)){ + if (any(swap)) { left_tmp <- left left[swap] <- right[swap] right[swap] <- left_tmp[swap] } - in_range_impl(x, min=left, max=right, closed=closed) + in_range_impl(x, min = left, max = right, closed = closed) } -in_range_impl <- function(x, min, max, closed = c(TRUE, TRUE)){ - if(!any(closed)) min < x & x < max - else if(all(closed)) min <= x & x <= max - else if(closed[1]) min <= x & x < max - else if(closed[2]) min < x & x <= max +in_range_impl <- function(x, min, max, closed = c(TRUE, TRUE)) { + if (!any(closed)) { + min < x & x < max + } else if (all(closed)) { + min <= x & x <= max + } else if (closed[1]) { + min <= x & x < max + } else if (closed[2]) min < x & x <= max } #' The width of a range @@ -53,21 +58,22 @@ in_range_impl <- function(x, min, max, closed = c(TRUE, TRUE)){ #' @param start,end start and end of the range #' @param base the base of the coordinate system, usually 1 or 0. #' @return a numeric vector -width <- function(start, end, base=1){ - abs(end-start)+base +#' @export +width <- function(start, end, base = 1) { + abs(end - start) + base } #' @rdname width -width0 <- function(start, end, base=0){ - width(start=start, end=end, base=base) +#' @export +width0 <- function(start, end, base = 0) { + width(start = start, end = end, base = base) } -max_width <- function(..., base=1){ - diff(range(...))+base - +max_width <- function(..., base = 1) { + diff(range(...)) + base } #' @export -as_tibble.GRanges <- function(x, ...){ - select(as_tibble(as.data.frame(x), ...), seq_id=.data$seqnames, .data$start, .data$end, .data$strand, everything()) +as_tibble.GRanges <- function(x, ...) { + select(as_tibble(as.data.frame(x), ...), seq_id = .data$seqnames, .data$start, .data$end, .data$strand, everything()) } diff --git a/R/read.R b/R/read.R index 6e6b5d7..c43416e 100644 --- a/R/read.R +++ b/R/read.R @@ -33,27 +33,32 @@ NULL #' function called down the line. #' @param context the context ("seqs", "feats", "links") in which a given format #' should be read. +#' @return a tibble with the combined data from all files #' @describeIn read_context bla keywords internal -read_context <- function(files, context, .id="file_id", format=NULL, parser=NULL, ...){ - if(is_connection(files)) - files <- list(files) # weird things happen to pipes in vectors +#' @export +read_context <- function(files, context, .id = "file_id", format = NULL, parser = NULL, ...) { + if (is_connection(files)) { + files <- list(files) + } # weird things happen to pipes in vectors # for unnamed files, infer name from filename (used as file_id/bin_id) files <- file_label(files) - parser <- parser %||% file_parser(files, context=context, format=format, require_unique=T) + parser <- parser %||% file_parser(files, context = context, format = format, require_unique = T) # map_df .id = bin_id inform(str_glue("Reading '{names(parser)}' with `{parser}()`:")) - x <- purrr::map2_df(files, names(files), .id=.id, parser=parser, ..., - .f=function(file, name, parser, ...){ - inform(str_glue("* {.id}: {name} [{file}]")) - exec(parser, file, ...) - }) + x <- purrr::map2_df(files, names(files), + .id = .id, parser = parser, ..., + .f = function(file, name, parser, ...) { + inform(str_glue("* {.id}: {name} [{file}]")) + exec(parser, file, ...) + } + ) x } -read_ambigious <- function(file, ...){ +read_ambigious <- function(file, ...) { abort(c("Ambigious file extension, please specify format or parser explicitly"), file) } @@ -61,14 +66,15 @@ read_ambigious <- function(file, ...){ # context: vec of context # single file/context is recycled to match multiple context/files if given # format: force this format regardless of file extension -file_parser <- function(file, context=NULL, format=NULL, require_unique=FALSE){ - format <- format %||% def_formats(file, context=context) - parser <- def_parser(format, context=context) %>% set_names(format) +file_parser <- function(file, context = NULL, format = NULL, require_unique = FALSE) { + format <- format %||% def_formats(file, context = context) + parser <- def_parser(format, context = context) %>% set_names(format) - if(require_unique){ + if (require_unique) { p <- unique(parser) - if(length(p) > 1) - abort(c("All files need the same format/parser.", i="Got mix of:", unname(p))) + if (length(p) > 1) { + abort(c("All files need the same format/parser.", i = "Got mix of:", unname(p))) + } parser <- parser[1] # unique(parser) strips names } parser @@ -100,35 +106,39 @@ file_parser <- function(file, context=NULL, format=NULL, require_unique=FALSE){ #' def_formats("foo.fa") #' #' # formats associated with each extension -#' def_formats(ext=c("fa", "gff")) +#' def_formats(ext = c("fa", "gff")) #' #' # all formats/extensions that can be read in seqs context; includes formats #' # that are defined for context=NA, i.e. that can be read in any context. -#' def_formats(context="seqs") +#' def_formats(context = "seqs") #' @eval def_formats_rd() -def_formats <- function(file=NULL, ext=NULL, context=NULL, parser=NULL, allow_na=FALSE){ - if(!is.null(file)){ +def_formats <- function(file = NULL, ext = NULL, context = NULL, parser = NULL, allow_na = FALSE) { + if (!is.null(file)) { ext <- c(file_ext(file), ext) } - ff <- filter_def_formats(context=context, parser=parser) %>% tidyr::unchop(ext) + ff <- filter_def_formats(context = context, parser = parser) %>% tidyr::unchop(ext) format <- tibble::deframe(select(ff, ext, format)) - if(!is.null(ext)) + if (!is.null(ext)) { format <- format[ext] + } - if(!allow_na && any(is.na(format))){ + if (!allow_na && any(is.na(format))) { bad <- ext[is.na(format)] names(bad) <- rep("x", length(bad)) - good <- def_formats(context=context, parser=parser) %>% + good <- def_formats(context = context, parser = parser) %>% tibble::enframe(name = "ext", value = "format") %>% - tidyr::chop(ext) %>% mutate(ext = purrr::map_chr(ext, comma)) %>% format() - abort(c(str_glue('Unknown extention(s):'), - i=str_glue("in context: {context}"), - i=str_glue("with parser: {parser}"), - bad, - i="Recognized formats/extensions for given context/parser:", - good[-(1:3)])) + tidyr::chop(ext) %>% + mutate(ext = purrr::map_chr(ext, comma)) %>% + format() + abort(c(str_glue("Unknown extention(s):"), + i = str_glue("in context: {context}"), + i = str_glue("with parser: {parser}"), + bad, + i = "Recognized formats/extensions for given context/parser:", + good[-(1:3)] + )) } format } @@ -145,10 +155,10 @@ def_formats <- function(file=NULL, ext=NULL, context=NULL, parser=NULL, allow_na #' @describeIn def_names default column names for defined formats #' @examples #' # read a blast-tabular file with read_tsv -#' readr::read_tsv(ex("emales/emales-prot-ava.o6"), col_names=def_names("blast")) -def_names <- function(format){ +#' readr::read_tsv(ex("emales/emales-prot-ava.o6"), col_names = def_names("blast")) +def_names <- function(format) { ff <- gggenomes_global$def_names - if(!format %in% names(ff)){ + if (!format %in% names(ff)) { abort(c( str_glue("No default col_names defined for format '{format}'.\nDefined formats are:"), names(ff) @@ -160,9 +170,9 @@ def_names <- function(format){ #' @describeIn def_names default column types for defined formats #' @export #' @return a vector with default column types for the given format -def_types <- function(format){ +def_types <- function(format) { ff <- gggenomes_global$def_types - if(!format %in% names(ff)){ + if (!format %in% names(ff)) { abort(c( str_glue("No default col_types defined for format '{format}'.\nDefined formats are:"), names(ff) @@ -171,41 +181,44 @@ def_types <- function(format){ ff[[format]] } -def_parser <- function(format, context=NULL){ +def_parser <- function(format, context = NULL) { context <- context %||% NA # recycle format & context to same length - x <- tibble(format=format, context=context) + x <- tibble(format = format, context = context) # for each format/context combo, get parser - pp <- purrr::pmap_chr(x, function(format, context){ - r <- filter_def_formats(format=format, context=context) %>% pull(.data$parser) - if(!length(r) || is.na(r)) + pp <- purrr::pmap_chr(x, function(format, context) { + r <- filter_def_formats(format = format, context = context) %>% pull(.data$parser) + if (!length(r) || is.na(r)) { abort(str_glue("No predefined parser for: `format={format}, context={context}`")) + } r }) pp } -file_strip_zip <- function(file, ext = c("bz2","gz","xz","zip")){ - ext <- paste0("\\.", ext, "$", collapse="|") +file_strip_zip <- function(file, ext = c("bz2", "gz", "xz", "zip")) { + ext <- paste0("\\.", ext, "$", collapse = "|") stringr::str_remove(file, ext) } -file_ext <- function(file, pattern = "(?<=\\.)[^.]+$", ignore_zip = TRUE){ - if(ignore_zip) +file_ext <- function(file, pattern = "(?<=\\.)[^.]+$", ignore_zip = TRUE) { + if (ignore_zip) { file <- file_strip_zip(file) + } stringr::str_extract(file, pattern) } -file_name <- function(file, pattern = "\\.[^.]+$", ignore_zip = TRUE){ - if(ignore_zip) +file_name <- function(file, pattern = "\\.[^.]+$", ignore_zip = TRUE) { + if (ignore_zip) { file <- file_strip_zip(file) + } stringr::str_remove(basename(file), pattern) } -file_id <- function(file){ - vctrs::vec_as_names(file_name(file), repair="unique") +file_id <- function(file) { + vctrs::vec_as_names(file_name(file), repair = "unique") } #' Add a unique name to files @@ -214,18 +227,19 @@ file_id <- function(file){ #' vector names #' #' @param file vector of files -file_label <- function(file){ +#' @noRd +file_label <- function(file) { i <- which(!have_name(file)) names(file)[i] <- file_id(file[i]) file } -file_is_zip <- function(file, ext = c("bz2","gz","xz","zip")){ - pattern <- paste0("\\.", ext, "$", collapse="|") +file_is_zip <- function(file, ext = c("bz2", "gz", "xz", "zip")) { + pattern <- paste0("\\.", ext, "$", collapse = "|") str_detect(file, pattern) } -file_is_url <- function(file){ +file_is_url <- function(file) { str_detect(file, "^((http|ftp)s?|sftp)://") } @@ -233,42 +247,49 @@ is_connection <- function(x) inherits(x, "connection") # filter but keep fallback parser for context=NA -filter_def_formats <- function(ff, format=NULL, context=NULL, parser=NULL){ +filter_def_formats <- function(ff, format = NULL, context = NULL, parser = NULL) { ff <- gggenomes_global$def_formats - if(!is.null(format)){ + if (!is.null(format)) { ff <- filter(ff, format %in% !!format) } - if(!is.null(context) || !is.null(parser)){ + if (!is.null(context) || !is.null(parser)) { ff <- tidyr::unchop(ff, c(context, parser)) - if(!is.null(context)){ + if (!is.null(context)) { # context=NA defines fallback parser which is always last in arrange - ff <- ff %>% dplyr::group_by(format) %>% + ff <- ff %>% + dplyr::group_by(format) %>% dplyr::filter(context %in% !!context | is.na(context)) %>% - dplyr::arrange(context, .by_group = TRUE) %>% slice_head(n=1) + dplyr::arrange(context, .by_group = TRUE) %>% + slice_head(n = 1) } - if(!is.null(parser)) + if (!is.null(parser)) { ff <- dplyr::filter(ff, parser %in% !!parser) + } } ff } -def_formats_rd <- function(){ +def_formats_rd <- function() { stringr::str_c(collapse = "\n", c( "@section Defined formats, extensions, contexts, and parsers:", "\\preformatted{", - testthat::capture_output(as.data.frame(gggenomes_global$def_formats), print=TRUE, width=120), - "}")) + testthat::capture_output(as.data.frame(gggenomes_global$def_formats), print = TRUE, width = 120), + "}" + )) } -def_names_rd <- function(){ +def_names_rd <- function() { ns <- gggenomes_global$def_names ts <- gggenomes_global$def_types - stringr::str_c(sep = "\n", - "@section Defined formats, column types and names:", - "\\preformatted{", - paste0(purrr::map(names(ns), - ~sprintf(" %-10s %-15s %s", .x, ts[[.x]], comma(ns[[.x]]))), collapse="\n"), - "}" + stringr::str_c( + sep = "\n", + "@section Defined formats, column types and names:", + "\\preformatted{", + paste0(purrr::map( + names(ns), + ~ sprintf(" %-10s %-15s %s", .x, ts[[.x]], comma(ns[[.x]])) + ), collapse = "\n"), + "}" ) } diff --git a/R/read_blast.R b/R/read_blast.R index c013d3e..9655a36 100644 --- a/R/read_blast.R +++ b/R/read_blast.R @@ -10,12 +10,17 @@ #' @param swap_query if TRUE swap query and subject columns using [swap_query()] #' on import. #' @param ... additional parameters, passed to `read_tsv` -read_blast <- function (file, col_names = def_names("blast"), - col_types = def_types("blast"), comment = "#", swap_query=FALSE, ...){ - - x <- readr::read_tsv(file, col_names = col_names, col_types = col_types, - comment = comment, ...) - if(swap_query) +#' @return a tibble with the BLAST output +#' @export +read_blast <- function( + file, col_names = def_names("blast"), + col_types = def_types("blast"), comment = "#", swap_query = FALSE, ...) { + x <- readr::read_tsv(file, + col_names = col_names, col_types = col_types, + comment = comment, ... + ) + if (swap_query) { x <- swap_query(x) + } x } diff --git a/R/read_feats.R b/R/read_feats.R index 535d18f..79306a3 100644 --- a/R/read_feats.R +++ b/R/read_feats.R @@ -1,6 +1,7 @@ #' @export #' @describeIn read_tracks read files as features mapping onto #' sequences. +#' @return tibble with features #' @examples #' # read genes/features from a gff file #' read_feats(ex("eden-utr.gff")) @@ -32,6 +33,7 @@ read_feats <- function(files, .id = "file_id", format = NULL, parser = NULL, ... } #' @export +#' @return tibble with features #' @describeIn read_tracks read files as subfeatures mapping onto other features read_subfeats <- function(files, .id = "file_id", format = NULL, parser = NULL, ...) { feats <- read_context(files, "feats", .id = .id, format = format, parser = parser, ...) @@ -39,6 +41,7 @@ read_subfeats <- function(files, .id = "file_id", format = NULL, parser = NULL, } #' @export +#' @return tibble with links #' @describeIn read_tracks read files as links connecting sequences read_links <- function(files, .id = "file_id", format = NULL, parser = NULL, ...) { feats <- read_context(files, "links", .id = .id, format = format, parser = parser, ...) @@ -46,6 +49,7 @@ read_links <- function(files, .id = "file_id", format = NULL, parser = NULL, ... } #' @export +#' @return tibble with links #' @describeIn read_tracks read files as sublinks connecting features read_sublinks <- function(files, .id = "file_id", format = NULL, parser = NULL, ...) { feats <- read_context(files, "links", .id = .id, format = format, parser = parser, ...) diff --git a/R/read_seqs.R b/R/read_seqs.R index 31e4a68..6f3838f 100644 --- a/R/read_seqs.R +++ b/R/read_seqs.R @@ -1,10 +1,11 @@ #' @param parse_desc turn `key=some value` pairs from `seq_desc` into `key`-named #' columns and remove them from `seq_desc`. +#' @return tibble with sequence information #' @export #' @describeIn read_tracks read sequence ID, description and length. #' @examples #' # read sequences from a fasta file. -#' read_seqs(ex("emales/emales.fna"), parse_desc=FALSE) +#' read_seqs(ex("emales/emales.fna"), parse_desc = FALSE) #' #' # read sequence info from a fasta file with `parse_desc=TRUE` (default). `key=value` #' # pairs are removed from `seq_desc` and parsed into columns with `key` as name @@ -16,11 +17,12 @@ #' # read sequence info from multiple gff file #' read_seqs(c(ex("emales/emales.gff"), ex("emales/emales-tirs.gff"))) #' -read_seqs <- function(files, .id="file_id", format=NULL, parser=NULL, - parse_desc=TRUE, ...){ - seqs <- read_context(files, "seqs", .id=.id, format=format, parser=parser, ...) +read_seqs <- function( + files, .id = "file_id", format = NULL, parser = NULL, + parse_desc = TRUE, ...) { + seqs <- read_context(files, "seqs", .id = .id, format = format, parser = parser, ...) - if(parse_desc && has_name(seqs, "seq_desc")){ + if (parse_desc && has_name(seqs, "seq_desc")) { seqs <- mutate(seqs, parse_desc(.data$seq_desc)) } @@ -28,14 +30,20 @@ read_seqs <- function(files, .id="file_id", format=NULL, parser=NULL, } #' @importFrom utils type.convert -parse_desc <- function(x, pattern="\\s*\\[?(\\S+)=\\{?([^=]+?)(\\s|\\}|\\]|$)"){ +#' @noRd +parse_desc <- function(x, pattern = "\\s*\\[?(\\S+)=\\{?([^=]+?)(\\s|\\}|\\]|$)") { m <- str_match_all(x, pattern) # create list of match matrices - y <- purrr::map_df(m, function(.x){ + y <- purrr::map_df(m, function(.x) { # if x was NA, all match values are NA - return empty tibble with one row - if(nrow(.x) < 1 || any(is.na(.x[,2]))) return(tibble(.rows=1)) + if (nrow(.x) < 1 || any(is.na(.x[, 2]))) { + return(tibble(.rows = 1)) + } # else return tibble with keys as names - .x[,3] %>% as.list %>% set_names(.x[,2]) %>% as_tibble - }) %>% mutate(across(everything(), type.convert, as.is=TRUE)) + .x[, 3] %>% + as.list() %>% + set_names(.x[, 2]) %>% + as_tibble() + }) %>% mutate(across(everything(), type.convert, as.is = TRUE)) # if key has the name of a reserved column, rename it so we don't overwrite rename_i <- names(y) %in% c("file_id", "seq_id", "seq_desc", "length") @@ -43,55 +51,56 @@ parse_desc <- function(x, pattern="\\s*\\[?(\\S+)=\\{?([^=]+?)(\\s|\\}|\\]|$)"){ # remove key=value data from seq_desc and turn resulting emtpy "" into NA z <- stringr::str_remove_all(x, pattern) - z[z==""] <- NA + z[z == ""] <- NA - mutate(y, seq_desc=z, .before=1) + mutate(y, seq_desc = z, .before = 1) } #' Read sequence index #' #' @describeIn read_seq_len read seqs from a single file_name in fasta, gbk or gff3 format. #' @param file with sequence length information +#' @return tibble with sequence information #' @export read_seq_len <- function(file) { # Read the first line to determine format - first <- readr::read_lines(file, n_max=1) + first <- readr::read_lines(file, n_max = 1) # Initialize output output <- NULL # fasta if (stringr::str_starts(first, ">")) { - output <- tibble::tibble(raw=readr::read_lines(file)) %>% - # seq_number is only there to maintain order of the sequences (this might not be relevant) - dplyr::mutate( - header=dplyr::if_else(stringr::str_starts(.data$raw, ">"), stringr::str_remove(.data$raw,">"), NA_character_), - seq_number=cumsum(!is.na(.data$header)), - bp=str_length(.data$raw) - ) %>% - tidyr::fill(.data$header, .direction="down") %>% - dplyr::filter(!stringr::str_starts(.data$raw,">")) %>% - dplyr::group_by(.data$seq_number, .data$header) %>% - dplyr::summarize(length=sum(.data$bp)) %>% - tidyr::separate(.data$header, into=c("seq_id","seq_desc"), sep=" ", extra="merge", fill = "right") %>% - dplyr::ungroup() %>% - dplyr::select(-.data$seq_number) + output <- tibble::tibble(raw = readr::read_lines(file)) %>% + # seq_number is only there to maintain order of the sequences (this might not be relevant) + dplyr::mutate( + header = dplyr::if_else(stringr::str_starts(.data$raw, ">"), stringr::str_remove(.data$raw, ">"), NA_character_), + seq_number = cumsum(!is.na(.data$header)), + bp = str_length(.data$raw) + ) %>% + tidyr::fill(.data$header, .direction = "down") %>% + dplyr::filter(!stringr::str_starts(.data$raw, ">")) %>% + dplyr::group_by(.data$seq_number, .data$header) %>% + dplyr::summarize(length = sum(.data$bp)) %>% + tidyr::separate(.data$header, into = c("seq_id", "seq_desc"), sep = " ", extra = "merge", fill = "right") %>% + dplyr::ungroup() %>% + dplyr::select(-.data$seq_number) } # gbk else if (stringr::str_starts(first, "LOCUS")) { - output <- tibble::tibble(raw=readr::read_lines(file)) %>% - dplyr::filter(stringr::str_starts(.data$raw, "LOCUS")) %>% - tidyr::separate(.data$raw, into=c("tag", "seq_id", "length"), extra="drop", convert=TRUE) %>% - dplyr::transmute(.data$seq_id, seq_desc=NA_character_, .data$length) + output <- tibble::tibble(raw = readr::read_lines(file)) %>% + dplyr::filter(stringr::str_starts(.data$raw, "LOCUS")) %>% + tidyr::separate(.data$raw, into = c("tag", "seq_id", "length"), extra = "drop", convert = TRUE) %>% + dplyr::transmute(.data$seq_id, seq_desc = NA_character_, .data$length) } # gff else if (stringr::str_starts(first, "##gff")) { - output <- tibble::tibble(raw=readr::read_lines(file)) %>% - dplyr::filter(stringr::str_starts(.data$raw, "##sequence-region")) %>% - tidyr::separate(.data$raw, into=c("_", "seq_id", "start", "end"), sep=" ", convert=TRUE) %>% - dplyr::transmute(.data$seq_id, seq_desc=NA_character_, length=.data$end-.data$start+1) + output <- tibble::tibble(raw = readr::read_lines(file)) %>% + dplyr::filter(stringr::str_starts(.data$raw, "##sequence-region")) %>% + tidyr::separate(.data$raw, into = c("_", "seq_id", "start", "end"), sep = " ", convert = TRUE) %>% + dplyr::transmute(.data$seq_id, seq_desc = NA_character_, length = .data$end - .data$start + 1) } # Unknown format @@ -106,11 +115,13 @@ read_seq_len <- function(file) { #' @export #' @inheritParams readr::read_tsv #' @param ... additional parameters, passed to `read_tsv` -read_fai <- function(file, col_names=def_names("fai"), - col_types=def_types("fai"), ...){ - df <- readr::read_tsv(file, col_types, col_names=F, ...) %>% - separate(1, into=c("seq_id", "seq_desc"), fill="right", sep=" ", extra="merge") - if(length(col_names) > ncol(df)){ +#' @return tibble with sequence information +read_fai <- function( + file, col_names = def_names("fai"), + col_types = def_types("fai"), ...) { + df <- readr::read_tsv(file, col_types, col_names = F, ...) %>% + separate(1, into = c("seq_id", "seq_desc"), fill = "right", sep = " ", extra = "merge") + if (length(col_names) > ncol(df)) { rlang::warn("Too many col_names, ignoring extra ones") col_names <- col_names[seq_along(df)] } diff --git a/R/read_vcf.R b/R/read_vcf.R index 2e83b21..76ad708 100644 --- a/R/read_vcf.R +++ b/R/read_vcf.R @@ -1,72 +1,80 @@ #' Read a VCF file -#' -#' VCF (Variant Call Format) file format is used to store variation data and its metadata. -#' Based on the used analysis program (e.g. GATK, freebayes, etc...), details within the VCF file can slightly differ. -#' For example, type of mutation is not mentioned as output for certain variant analysis programs. -#' the "read_vcf" function, ignores the first header/metadata lines and directly converts the data into a tidy dataframe. +#' +#' VCF (Variant Call Format) file format is used to store variation data and its metadata. +#' Based on the used analysis program (e.g. GATK, freebayes, etc...), details within the VCF file can slightly differ. +#' For example, type of mutation is not mentioned as output for certain variant analysis programs. +#' the "read_vcf" function, ignores the first header/metadata lines and directly converts the data into a tidy dataframe. #' The function will extract the type of mutation. By absence, it will derive the type of mutation from the "ref" and "alt" column. -#' +#' #' @inheritParams readr::read_tsv #' @param col_names column names to use. Defaults to `def_names("vcf")` (see [`def_names`]). #' @param col_types column types to use. Defaults to `def_types("vcf")` (see [`def_types`]). -#' @param parse_info if set to 'TRUE', the read_vcf function will split all the metadata stored in the "info" column and stores it into separate columns. +#' @param parse_info if set to 'TRUE', the read_vcf function will split all the metadata stored in the "info" column and stores it into separate columns. #' By default it is set to 'FALSE'. #' #' @return dataframe +#' @export #' -read_vcf <- function(file, parse_info=FALSE, col_names = def_names("vcf"), col_types = def_types("vcf")){ - x <- readr::read_tsv(file, col_names = col_names, col_types = col_types, na=".", - comment = "#") - - if(parse_info){ +read_vcf <- function(file, parse_info = FALSE, col_names = def_names("vcf"), col_types = def_types("vcf")) { + x <- readr::read_tsv(file, + col_names = col_names, col_types = col_types, na = ".", + comment = "#" + ) + + if (parse_info) { x <- tidy_tax(x) - }else{ + } else { x <- mutate(x, type = stringr::str_extract(.data$info, "TYPE=[^;]+"), type = gsub("TYPE=", "", .data$type)) } - -#Add feat_id - if(sum(is.na(x$feat_id))){x$feat_id <- paste0("f", seq_len(nrow((x))))} -#calculate end - x <- mutate(x, end = start + nchar(.data$alt)) - - -#Manually finding type - if(sum(is.na(x$type))){ - warn("Type of mutation was not found within the 'info' column. + # Add feat_id + if (sum(is.na(x$feat_id))) { + x$feat_id <- paste0("f", seq_len(nrow((x)))) + } + # calculate end + x <- mutate(x, end = start + nchar(.data$alt)) + + + + # Manually finding type + if (sum(is.na(x$type))) { + warn("Type of mutation was not found within the 'info' column. It will be derived based on the 'ref' and 'alt' column.") x <- extract_type(x) } - x + x } -tidy_tax <- function(x){ - ss <- str_match_all(x$info, "([^;=]+)=([^;]+)") #or maybe x[8] - d <- tibble(.rows= length(ss)) +tidy_tax <- function(x) { + ss <- str_match_all(x$info, "([^;=]+)=([^;]+)") # or maybe x[8] + d <- tibble(.rows = length(ss)) ii <- rep(seq_along(ss), purrr::map_int(ss, nrow)) mm <- purrr::list_c(ss) - kk <- factor(mm[,2]) - vv <- mm[,3] - for (k in levels(kk)){ + kk <- factor(mm[, 2]) + vv <- mm[, 3] + for (k in levels(kk)) { d[[k]] <- NA - d[[k]][ii[kk==k]] <- vv[kk==k] + d[[k]][ii[kk == k]] <- vv[kk == k] } - if(sum(colnames(d) == "TYPE")) { - d <- rename(d, type="TYPE") - inform(c("Harmonizing info names", - str_glue_data(tibble(orig="TYPE", new="type"), "{orig} -> {new}"))) + if (sum(colnames(d) == "TYPE")) { + d <- rename(d, type = "TYPE") + inform(c( + "Harmonizing info names", + str_glue_data(tibble(orig = "TYPE", new = "type"), "{orig} -> {new}") + )) } - + bind_cols(x, d) } -extract_type <- function(x){ -x <- mutate(x, type = case_when( - nchar(ref) > nchar(alt) ~ "del", - nchar(alt) > nchar(ref) ~ "ins", - nchar(alt) == nchar(ref) & nchar(alt) == 1 ~ "snp", - nchar(alt) == nchar(ref) & nchar(alt) > 1 ~ "mnp")) +extract_type <- function(x) { + x <- mutate(x, type = case_when( + nchar(ref) > nchar(alt) ~ "del", + nchar(alt) > nchar(ref) ~ "ins", + nchar(alt) == nchar(ref) & nchar(alt) == 1 ~ "snp", + nchar(alt) == nchar(ref) & nchar(alt) > 1 ~ "mnp" + )) } diff --git a/R/scale_x.R b/R/scale_x.R index c5ebcbd..ed68e9b 100644 --- a/R/scale_x.R +++ b/R/scale_x.R @@ -4,6 +4,7 @@ #' [ggplot2::scale_x_continuous()] using `label_bp()` as default labeller. #' @inheritParams label_bp #' @param ... Arguments passed on to [ggplot2::scale_x_continuous()] +#' @return A ggplot2 scale object with bp labels #' @export #' @examples #' # scale_x_bp invoked by default @@ -11,7 +12,7 @@ #' #' # customize labels #' gggenomes(emale_genes) + geom_gene() + -#' scale_x_bp(suffix="bp", sep=" ") +#' scale_x_bp(suffix = "bp", sep = " ") #' #' # Note: xlim will overwrite scale_x_bp() with ggplot2::scale_x_continuous() #' gggenomes(emale_genes) + geom_gene() + @@ -19,36 +20,43 @@ #' #' # set limits explicitly with scale_x_bp() to avoid overwrite #' gggenomes(emale_genes) + geom_gene() + -#' scale_x_bp(limits=c(0, 3e4)) -scale_x_bp <- function(..., suffix = "", sep = "", accuracy = 1){ - ggplot2::scale_x_continuous(..., labels = label_bp(suffix = suffix, sep = sep, - accuracy = accuracy)) +#' scale_x_bp(limits = c(0, 3e4)) +scale_x_bp <- function(..., suffix = "", sep = "", accuracy = 1) { + ggplot2::scale_x_continuous(..., labels = label_bp( + suffix = suffix, sep = sep, + accuracy = accuracy + )) } # gggenomes::scale_x_continuous is added as default scale to plot if no scale is # added explicitly - make this default to scale_x_bp(). # # NOTE: do not export - overwrites ggplot::scale_x_continuous for other plots -scale_x_continuous <- function(...){ +scale_x_continuous <- function(...) { scale_x_bp(...) } #' @inheritParams scales::label_bytes #' @param suffix unit suffix e.g. "bp" #' @param sep between number and unit prefix+suffix +#' @return A labeller function for genomic data #' @export #' @rdname scale_x_bp -label_bp <- function (suffix = "", sep = "", accuracy = 1) { +label_bp <- function(suffix = "", sep = "", accuracy = 1) { scales__force_all(accuracy) function(x) { breaks <- c(0, 10^c(k = 3, M = 6, G = 9)) - n_suffix <- cut(abs(x), breaks = c(unname(breaks), Inf), - labels = c(names(breaks)), right = FALSE) + n_suffix <- cut(abs(x), + breaks = c(unname(breaks), Inf), + labels = c(names(breaks)), right = FALSE + ) n_suffix[is.na(n_suffix)] <- "" suffix <- paste0(sep, n_suffix, suffix) - scale <- 1/breaks[n_suffix] + scale <- 1 / breaks[n_suffix] scale[which(scale %in% c(Inf, NA))] <- 1 - scales::number(x, accuracy = accuracy, scale = unname(scale), - suffix = suffix) + scales::number(x, + accuracy = accuracy, scale = unname(scale), + suffix = suffix + ) } } diff --git a/R/seqs.R b/R/seqs.R index d4ecf89..283fdda 100644 --- a/R/seqs.R +++ b/R/seqs.R @@ -11,43 +11,44 @@ #' @examples #' chr <- tibble::tibble( #' seq_id = c("a1", "b1", "b2"), -#' bin_id = c(rep("A", 1), rep("B",2)), -#' length = c(5000,3000,1400)) +#' bin_id = c(rep("A", 1), rep("B", 2)), +#' length = c(5000, 3000, 1400) +#' ) #' #' as_seqs(chr) #' @export #' @keywords internal -as_seqs <- function(x, ...){ - UseMethod("as_seqs") +as_seqs <- function(x, ...) { + UseMethod("as_seqs") } #' @export as_seqs.default <- function(x, ...) { - # try to coerce into tbl - as_seqs(as_tibble(x), ...) + # try to coerce into tbl + as_seqs(as_tibble(x), ...) } #' @export #' @describeIn as_seqs Convert a list of tibbles into a seq layout #' @param everything set to FALSE to drop optional columns -as_seqs.tbl_df <- function(x, everything = TRUE, ...){ - vars <- c("seq_id","bin_id","length") +as_seqs.tbl_df <- function(x, everything = TRUE, ...) { + vars <- c("seq_id", "bin_id", "length") require_vars(x, vars) # coerce IDs to chars, so we don't get errors in join by mismatched types x <- mutate_at(x, vars("seq_id", "bin_id"), as.character) vars <- c(vars, "strand", "bin_offset", "start", "end") - if(has_name(x, "strand")){ + if (has_name(x, "strand")) { x$strand <- strand_chr(x$strand) - }else{ + } else { x$strand <- "+" } - if(!has_name(x, "bin_offset")) x$bin_offset <- 0 - if(!has_name(x, "start")) x$start <- 1 - if(!has_name(x, "end")) x$end <- x$length + if (!has_name(x, "bin_offset")) x$bin_offset <- 0 + if (!has_name(x, "start")) x$start <- 1 + if (!has_name(x, "end")) x$end <- x$length - other_vars <- if(everything) tidyselect::everything else function() NULL; + other_vars <- if (everything) tidyselect::everything else function() NULL x <- select(x, vars, other_vars()) layout_seqs(x, ...) } @@ -60,58 +61,61 @@ as_seqs.tbl_df <- function(x, everything = TRUE, ...){ #' per lin. #' @param spacing_style one of "regular", "center", "spread" #' @param keep keys to keep (default: "strand") +#' @return a tbl_df with plot coordinates #' @export -layout_seqs <- function(x, spacing=0.05, wrap=NULL, - spacing_style = c("regular", "center", "spread"), keep="strand"){ - +layout_seqs <- function( + x, spacing = 0.05, wrap = NULL, + spacing_style = c("regular", "center", "spread"), keep = "strand") { spacing_style <- match.arg(spacing_style) - if(! spacing_style == "regular") stop("Not yet implement") + if (!spacing_style == "regular") stop("Not yet implement") - x <- drop_seq_layout(x, keep=keep) + x <- drop_seq_layout(x, keep = keep) # Index bins by order x %<>% mutate(y = match(.data$bin_id, rev(unique(.$bin_id)))) %>% dplyr::group_by(.data$bin_id) - #x %<>% mutate(y = match(bin_id, unique(.$bin_id))) %>% + # x %<>% mutate(y = match(bin_id, unique(.$bin_id))) %>% # group_by(bin_id) # infer spacing length from bin lengths - if(spacing < 1){ + if (spacing < 1) { bins <- x %>% dplyr::group_by(.data$bin_id) %>% summarize( - bin_len=sum(width(.data$start, .data$end)), - seq_n=n()) %>% + bin_len = sum(width(.data$start, .data$end)), + seq_n = n() + ) %>% ungroup() %>% summarize( max_bin_len = max(bin_len), - max_seq_n = max(.data$seq_n)) + max_seq_n = max(.data$seq_n) + ) - if(is.null(wrap)){ + if (is.null(wrap)) { seq_row <- bins$max_seq_n bin_len <- bins$max_bin_len - }else{ - wrap_rows <- bins$max_bin_len/wrap # roughly - seq_row <- bins$max_seq_n/wrap_rows + } else { + wrap_rows <- bins$max_bin_len / wrap # roughly + seq_row <- bins$max_seq_n / wrap_rows bin_len <- wrap } # / sqrt(bins$max_seq_n) - spacing <- ceiling(bin_len/sqrt(seq_row) * spacing) + spacing <- ceiling(bin_len / sqrt(seq_row) * spacing) } # compute seq starts in layout - if(is.null(wrap)){ - x %<>% mutate(x = .data$bin_offset + lag(cumsum(end-start+1 + spacing), default=0)) - }else{ + if (is.null(wrap)) { + x %<>% mutate(x = .data$bin_offset + lag(cumsum(end - start + 1 + spacing), default = 0)) + } else { x %<>% wrap(wrap, spacing) } # fix strands x %<>% mutate( - xend = ifelse(is_reverse(.data$strand), .data$x, .data$x+.data$end-.data$start+1), - x = ifelse(is_reverse(.data$strand), .data$x+.data$end-.data$start+1, x) + xend = ifelse(is_reverse(.data$strand), .data$x, .data$x + .data$end - .data$start + 1), + x = ifelse(is_reverse(.data$strand), .data$x + .data$end - .data$start + 1, x) ) %>% select(.data$y, .data$x, .data$xend, .data$strand, everything()) } @@ -120,20 +124,21 @@ layout_seqs <- function(x, spacing=0.05, wrap=NULL, #' #' @param x seq_layout #' @param keep features to keep +#' @return seq_layout without unwanted features #' @export -drop_seq_layout <- function(x, keep="strand"){ - drop <- c("y","x","xend","strand", grep("^\\.", names(x), value=T)) +drop_seq_layout <- function(x, keep = "strand") { + drop <- c("y", "x", "xend", "strand", grep("^\\.", names(x), value = T)) drop <- drop[!drop %in% keep] purrr::discard(x, names(x) %in% drop) } # layout contigs in rectangle -wrap <- function(.data, xmax, xpad=1000){ +wrap <- function(.data, xmax, xpad = 1000) { l <- .data %>% split_by(.data$bin_id) - for(i in seq_along(l)){ - ystart <- if(i == 1) 1 else max(l[[i-1]]$y) +2 + for (i in seq_along(l)) { + ystart <- if (i == 1) 1 else max(l[[i - 1]]$y) + 2 xstart <- l[[i]]$bin_offset[1] - l[[i]] <- wrap_impl(l[[i]], xmax=xmax, xpad=xpad, ystart=ystart, xstart=xstart) + l[[i]] <- wrap_impl(l[[i]], xmax = xmax, xpad = xpad, ystart = ystart, xstart = xstart) } x <- bind_rows(l) @@ -144,23 +149,23 @@ wrap <- function(.data, xmax, xpad=1000){ -wrap_impl <- function(.data, xmax, xpad, ystart, xstart){ +wrap_impl <- function(.data, xmax, xpad, ystart, xstart) { l <- .data$end - .data$start # subseq length n <- length(l) x <- 1 xend <- x + l[1] y <- ystart - if(n>1){ - for(i in 2:n){ - if(xend[i-1] + xpad + l[i] > xmax){ + if (n > 1) { + for (i in 2:n) { + if (xend[i - 1] + xpad + l[i] > xmax) { x[i] <- 1 xend[i] <- 1 + l[i] - y[i] <- y[i-1] + 1 - }else{ - x[i] <- xend[i-1] + xpad + y[i] <- y[i - 1] + 1 + } else { + x[i] <- xend[i - 1] + xpad xend[i] <- x[i] + l[i] - y[i] <- y[i-1] + y[i] <- y[i - 1] } } } @@ -176,16 +181,16 @@ wrap_impl <- function(.data, xmax, xpad, ystart, xstart){ #' @param seqs the sequences to add #' @param ... pass through to `as_seqs()` #' @export -add_seqs <- function(x, seqs, ...){ +add_seqs <- function(x, seqs, ...) { UseMethod("add_seqs") } #' @export -add_seqs.gggenomes <- function(x, seqs, ...){ +add_seqs.gggenomes <- function(x, seqs, ...) { x$data <- add_seqs(x$data, seqs, ...) x } #' @export -add_seqs.gggenomes_layout <- function(x, seqs, ...){ +add_seqs.gggenomes_layout <- function(x, seqs, ...) { set_seqs(x, as_seqs(seqs, ...)) } @@ -194,22 +199,22 @@ add_seqs.gggenomes_layout <- function(x, seqs, ...){ #' @param x a gggenomes or gggenomes_layout objekt #' @return a gggenomes_layout track tibble #' @export -get_seqs <- function(x){ +get_seqs <- function(x) { UseMethod("get_seqs") } #' @export -get_seqs.gggenomes <- function(x){ +get_seqs.gggenomes <- function(x) { get_seqs(x$data) } #' @export -get_seqs.gggenomes_layout <- function(x){ +get_seqs.gggenomes_layout <- function(x) { x$seqs[["seqs"]] } #' @rdname get_seqs #' @param value to set vor seqs #' @export -set_seqs <- function(x, value){ +set_seqs <- function(x, value) { UseMethod("set_seqs") } #' @export diff --git a/R/shift.R b/R/shift.R index 62e52d3..3f538b2 100644 --- a/R/shift.R +++ b/R/shift.R @@ -8,43 +8,46 @@ #' @param by shift each bin by this many bases. Single value or vector of the #' same length as bins. #' @param center horizontal centering +#' @return gggenomes object with shifted seqs #' @examples #' p0 <- gggenomes(emale_genes, emale_seqs) + -#' geom_seq() + geom_gene() +#' geom_seq() + geom_gene() #' #' # Slide one bin left and one bin right -#' p1 <- p0 |> shift(2:3, by=c(-8000, 10000)) +#' p1 <- p0 |> shift(2:3, by = c(-8000, 10000)) #' #' # align all bins to a target gene #' mcp <- emale_genes |> #' dplyr::filter(name == "MCP") |> #' dplyr::group_by(seq_id) |> -#' dplyr::slice_head(n=1) # some have fragmented MCP gene, keep only first +#' dplyr::slice_head(n = 1) # some have fragmented MCP gene, keep only first #' -#' p2 <- p0 |> shift(all_of(mcp$seq_id), by= -mcp$start) + -#' geom_gene(data=genes(name=="MCP"), fill="#01b9af") +#' p2 <- p0 |> shift(all_of(mcp$seq_id), by = -mcp$start) + +#' geom_gene(data = genes(name == "MCP"), fill = "#01b9af") #' #' library(patchwork) #' p0 + p1 + p2 #' @export -shift <- function(x, bins=everything(), by=0, center=FALSE){ +shift <- function(x, bins = everything(), by = 0, center = FALSE) { # split by bin_id and select bins s <- get_seqs(x) l <- s %>% split_by(.data$bin_id) i <- tidyselect::eval_select(expr({{ bins }}), l) - if(length(i) == 0) rlang::abort("no bins selected") - if(length(by) > 1 & length(by) != length(i)){ + if (length(i) == 0) rlang::abort("no bins selected") + if (length(by) > 1 & length(by) != length(i)) { rlang::abort(paste("by needs to be a single value or a vector of the same length as bins:", length(i))) - }else if(length(by)==1){ + } else if (length(by) == 1) { by <- rep(by, length(i)) } - for(k in seq_along(i)){ + for (k in seq_along(i)) { j <- i[k] - if(center) - l[[j]]$bin_offset <- l[[j]]$bin_offset - (max(l[[j]]$xend)/2) - if(by[k] != 0) + if (center) { + l[[j]]$bin_offset <- l[[j]]$bin_offset - (max(l[[j]]$xend) / 2) + } + if (by[k] != 0) { l[[j]]$bin_offset <- l[[j]]$bin_offset + by[k] + } } x <- set_seqs(x, bind_rows(l)) diff --git a/R/strand.R b/R/strand.R index b41abc7..f1425e8 100644 --- a/R/strand.R +++ b/R/strand.R @@ -3,36 +3,38 @@ #' @param strand some representation for strandedness #' @param na what to use for `NA` #' @export -check_strand <- function(strand, na){ +check_strand <- function(strand, na) { UseMethod("check_strand") } #' @export -check_strand.factor <- function(strand, na=NA){ - check_strand(as.character(strand), na=na) +check_strand.factor <- function(strand, na = NA) { + check_strand(as.character(strand), na = na) } #' @export -check_strand.numeric <- function(strand, na=NA){ +check_strand.numeric <- function(strand, na = NA) { strand <- as.integer(strand) - if(any(!strand %in% c(1,-1,0,NA))) + if (any(!strand %in% c(1, -1, 0, NA))) { rlang::abort("the only allowed values for numeric strands are [1,-1,0,NA]") - to_na <- !strand %in% c(1,-1, na) + } + to_na <- !strand %in% c(1, -1, na) strand[to_na] <- as.integer(na) strand } #' @export -check_strand.character <- function(strand, na=NA){ - if(any(!strand %in% c("+", "-", ".", NA))) +check_strand.character <- function(strand, na = NA) { + if (any(!strand %in% c("+", "-", ".", NA))) { rlang::abort("the only allowed values for character strands are [+,-,.,NA]") + } to_na <- !strand %in% c("+", "-", na) strand[to_na] <- as.character(na) strand } #' @export -check_strand.logical <- function(strand, na=NA){ +check_strand.logical <- function(strand, na = NA) { strand[is.na(strand)] <- as.logical(na) strand } @@ -43,31 +45,31 @@ check_strand.logical <- function(strand, na=NA){ #' @param strand some representation for strandedness #' @param na what to use for `NA` #' @export -strand_chr <- function(strand, na=NA){ +strand_chr <- function(strand, na = NA) { UseMethod("strand_chr") } #' @export -strand_chr.character <- function(strand, na=NA){ - check_strand(strand, na=na) +strand_chr.character <- function(strand, na = NA) { + check_strand(strand, na = na) } #' @export -strand_chr.factor <- function(strand, na=NA){ - strand_chr(as.character(strand), na=na) +strand_chr.factor <- function(strand, na = NA) { + strand_chr(as.character(strand), na = na) } #' @export -strand_chr.numeric <- function(strand, na=NA){ - strand <- check_strand(strand, na=0) - strand <- c("-",as.character(na),"+")[strand+2] +strand_chr.numeric <- function(strand, na = NA) { + strand <- check_strand(strand, na = 0) + strand <- c("-", as.character(na), "+")[strand + 2] strand } #' @export -strand_chr.logical <- function(strand, na=NA){ +strand_chr.logical <- function(strand, na = NA) { # convert to int first - strand_chr(strand_int(strand, na=NA), na=na) + strand_chr(strand_int(strand, na = NA), na = na) } @@ -76,26 +78,26 @@ strand_chr.logical <- function(strand, na=NA){ #' @param strand some representation for strandedness #' @param na what to use for `NA` #' @export -strand_int <- function(strand, na=NA){ +strand_int <- function(strand, na = NA) { UseMethod("strand_int") } #' @export -strand_int.numeric <- function(strand, na=NA){ - check_strand(strand, na=na) +strand_int.numeric <- function(strand, na = NA) { + check_strand(strand, na = na) } #' @export -strand_int.logical <- function(strand, na=NA){ - strand <- check_strand(strand, na=NA) +strand_int.logical <- function(strand, na = NA) { + strand <- check_strand(strand, na = NA) strand <- as.integer(strand) * 2 - 1 strand[is.na(strand)] <- as.integer(na) as.integer(strand) } #' @export -strand_int.character <- function(strand, na=NA){ - strand <- check_strand(strand, na=NA) +strand_int.character <- function(strand, na = NA) { + strand <- check_strand(strand, na = NA) strand[strand == "+"] <- 1 strand[strand == "-"] <- -1 strand[is.na(strand)] <- as.integer(na) @@ -103,8 +105,8 @@ strand_int.character <- function(strand, na=NA){ } #' @export -strand_int.factor <- function(strand, na=NA){ - strand_int(as.character(strand), na=na) +strand_int.factor <- function(strand, na = NA) { + strand_int(as.character(strand), na = na) } #' Convert strand to logical @@ -112,25 +114,25 @@ strand_int.factor <- function(strand, na=NA){ #' @param strand some representation for strandedness #' @param na what to use for `NA` #' @export -strand_lgl <- function(strand, na=NA){ +strand_lgl <- function(strand, na = NA) { UseMethod("strand_lgl") } #' @export -strand_lgl.logical <- function(strand, na=NA){ - check_strand(strand, na=na) +strand_lgl.logical <- function(strand, na = NA) { + check_strand(strand, na = na) } #' @export -strand_lgl.numeric <- function(strand, na=NA){ - strand <- as.logical(check_strand(strand, na=NA) +1) +strand_lgl.numeric <- function(strand, na = NA) { + strand <- as.logical(check_strand(strand, na = NA) + 1) strand[is.na(strand)] <- as.logical(na) strand } #' @export -strand_lgl.character <- function(strand, na=NA){ - strand <- check_strand(strand, na=NA) +strand_lgl.character <- function(strand, na = NA) { + strand <- check_strand(strand, na = NA) strand <- strand == "+" strand[is.na(strand)] <- as.logical(na) strand @@ -140,33 +142,35 @@ strand_lgl.character <- function(strand, na=NA){ #' #' @param strand some representation for strandedness #' @param na what to use for `NA` +#' @return logical vector indicating whether the strand is reverse #' @export -is_reverse <- function(strand, na=FALSE){ - !strand_lgl(strand, na=na) +is_reverse <- function(strand, na = FALSE) { + !strand_lgl(strand, na = na) } #' Flip strand #' #' @param strand some representation for strandedness #' @param na what to use for `NA` +#' @return the strand flipped #' @export -flip_strand <- function(strand, na=NA){ +flip_strand <- function(strand, na = NA) { UseMethod("flip_strand") } #' @export -flip_strand.logical <- function(strand, na=NA){ - !strand_lgl(strand, na=as.logical(na)) +flip_strand.logical <- function(strand, na = NA) { + !strand_lgl(strand, na = as.logical(na)) } #' @export -flip_strand.numeric <- function(strand, na=NA){ - strand_int(!strand_lgl(strand), na=as.integer(na)) +flip_strand.numeric <- function(strand, na = NA) { + strand_int(!strand_lgl(strand), na = as.integer(na)) } #' @export -flip_strand.character <- function(strand, na=NA){ - strand_chr(!strand_lgl(strand), na=as.character(na)) +flip_strand.character <- function(strand, na = NA) { + strand_chr(!strand_lgl(strand), na = as.character(na)) } #' Combine strands @@ -174,19 +178,23 @@ flip_strand.character <- function(strand, na=NA){ #' @param strand first strand #' @param strand2 second strand #' @param ... more strands +#' @return the combined strand #' @export -combine_strands <- function(strand, strand2, ...){ - strands <- c(list(strand, strand2), list(...)) - purrr::reduce(strands, combine_two_strands) +combine_strands <- function(strand, strand2, ...) { + strands <- c(list(strand, strand2), list(...)) + purrr::reduce(strands, combine_two_strands) } -combine_two_strands <- function(strand, strand2){ - if(is.character(strand) || is.factor(strand)) +combine_two_strands <- function(strand, strand2) { + if (is.character(strand) || is.factor(strand)) { return(strand_chr(strand_int(strand) * strand_int(strand2))) - if(is.logical(strand)) + } + if (is.logical(strand)) { return(strand_lgl(strand_int(strand) * strand_int(strand2))) - if(is.numeric(strand)) + } + if (is.numeric(strand)) { strand * strand_int(strand2) + } } #' Vectorised if_else based on strandedness @@ -194,7 +202,8 @@ combine_two_strands <- function(strand, strand2){ #' @param strand vector with strandedness information #' @param reverse value to use for reverse elements #' @param forward value to use for forward elements +#' @return vector with values based on strandedness #' @export -if_reverse <- function(strand, reverse, forward){ +if_reverse <- function(strand, reverse, forward) { ifelse(is_reverse(strand), reverse, forward) } diff --git a/R/synteny_to_link.R b/R/synteny_to_link.R index ea78111..8ba54b1 100644 --- a/R/synteny_to_link.R +++ b/R/synteny_to_link.R @@ -1,43 +1,51 @@ #' Helper to extract seqlengths from DECIPHER::FindSyntney Object #' @keywords internal #' @param synteny_obj A object produced by DECIPHER::FindSynteny +#' @noRd get_seqlen <- function(synteny_obj) { seqlengths <- c() - for(i in 1:ncol(synteny_obj)) { - seqlengths <- c(seqlengths,unlist(.data$synteny[i,i])) + for (i in 1:ncol(synteny_obj)) { + seqlengths <- c(seqlengths, unlist(.data$synteny[i, i])) } - seqlength_df <- data.frame(length = seqlengths, - fasta_name = names(seqlengths)) %>% + seqlength_df <- data.frame( + length = seqlengths, + fasta_name = names(seqlengths) + ) %>% tibble::remove_rownames() - seqlength_df + seqlength_df } #' Format synteny-class into wide tibble This is for use with gggenomes #' @importFrom methods is #' @details This function takes a object of class synteny and converts it into a data.frame containing all synteny pairs #' @param synteny_obj A object produced by DECIPHER::FindSynteny +#' @noRd synteny_to_link <- function(synteny_obj) { - if(!is(synteny_obj,"Synteny")) { + if (!is(synteny_obj, "Synteny")) { stop("synetny_obj is not of class Synteny") } seqlengths <- get_seqlen(synteny_obj) - out_df <- tibble() - for (iter in c(1:(ncol(synteny_obj)-1))) { - tmp_df <- synteny_obj[iter+1,iter][[1]] %>% - as.data.frame() %>% - dplyr::mutate(strand = case_when(strand == 0 ~ "+", - TRUE ~ "-"), - seq_id = (seqlengths[iter,]$fasta_name %>% stringr::str_extract("[^ ]+")), - start = .data$start1, - end = .data$end1, - length = seqlengths[iter,]$length, - seq_id2 = (seqlengths[iter+1,]$fasta_name %>% stringr::str_extract("[^ ]+")), - start2 = .data$start2, - end2 = .data$end2, - length2 = seqlengths[iter+1,]$length) %>% - dplyr::select(.data$seq_id, .data$start, .data$end,.data$length, .data$strand, .data$seq_id2, .data$start2, .data$end2, .data$length2) - out_df <- bind_rows(out_df, tmp_df) + out_df <- tibble() + for (iter in c(1:(ncol(synteny_obj) - 1))) { + tmp_df <- synteny_obj[iter + 1, iter][[1]] %>% + as.data.frame() %>% + dplyr::mutate( + strand = case_when( + strand == 0 ~ "+", + TRUE ~ "-" + ), + seq_id = (seqlengths[iter, ]$fasta_name %>% stringr::str_extract("[^ ]+")), + start = .data$start1, + end = .data$end1, + length = seqlengths[iter, ]$length, + seq_id2 = (seqlengths[iter + 1, ]$fasta_name %>% stringr::str_extract("[^ ]+")), + start2 = .data$start2, + end2 = .data$end2, + length2 = seqlengths[iter + 1, ]$length + ) %>% + dplyr::select(.data$seq_id, .data$start, .data$end, .data$length, .data$strand, .data$seq_id2, .data$start2, .data$end2, .data$length2) + out_df <- bind_rows(out_df, tmp_df) } - out_df + out_df } diff --git a/R/tracks.R b/R/tracks.R index d8b470b..5a74dcb 100644 --- a/R/tracks.R +++ b/R/tracks.R @@ -3,19 +3,19 @@ #' @param track_type restrict to any combination of "seqs", "feats" and "links". #' @param ... unused #' @export -track_ids <- function(x, track_type, ...){ +track_ids <- function(x, track_type, ...) { UseMethod("track_ids") } #' @export -track_ids.gggenomes <- function(x, track_type=NULL, ...){ +track_ids.gggenomes <- function(x, track_type = NULL, ...) { track_ids(x$data, track_type, ...) } #' @export -track_ids.gggenomes_layout <- function(x, track_type=c("seqs", "feats", "links"), ...){ +track_ids.gggenomes_layout <- function(x, track_type = c("seqs", "feats", "links"), ...) { track_type <- match_arg(track_type, several.ok = TRUE) - ids <- flatten_chr(unname(purrr::map(track_type, ~names(x[[.x]])))) + ids <- flatten_chr(unname(purrr::map(track_type, ~ names(x[[.x]])))) names(ids) <- track_types(x, track_type) ids } @@ -23,117 +23,125 @@ track_ids.gggenomes_layout <- function(x, track_type=c("seqs", "feats", "links") #' Basic info on tracks in a gggenomes object #' #' Use `track_info()` to call on a gggenomes or gggenomes_layout object to return a short tibble -#' with ids, types, index and size of the loaded tracks. -#' -#' @details The short tibble contains basic information on the tracks within the entered gggenomes object. +#' with ids, types, index and size of the loaded tracks. +#' +#' @details The short tibble contains basic information on the tracks within the entered gggenomes object. #' - **id** : Shows original name of inputted data frame (only when more than one data frames are present in a track). #' - **type** : The track in which the data frame is present. #' - **i** (index) : The chronological order of data frames in a specific track. -#' - **n** (size) : Amount of objects **plotted** from the data frame. +#' - **n** (size) : Amount of objects **plotted** from the data frame. #' (**not** the amount of objects *in* the inputted data frame) -#' @examples +#' @examples #' gggenomes( #' seqs = emale_seqs, -#' feats= list(emale_genes, emale_tirs, emale_ngaros), -#' links = emale_ava) |> -#' track_info() +#' feats = list(emale_genes, emale_tirs, emale_ngaros), +#' links = emale_ava +#' ) |> +#' track_info() #' @return Short tibble with ids, types, index and size of loaded tracks. #' @export #' @inheritParams track_ids -track_info <- function(x, ...){ +track_info <- function(x, ...) { UseMethod("track_info") } #' @export -track_info.gggenomes <- function(x, ...){ +track_info.gggenomes <- function(x, ...) { track_info(x$data, ...) } #' @export -track_info.gggenomes_layout <- function(x, track_type = c("seqs", "feats", "links"), ...){ +track_info.gggenomes_layout <- function(x, track_type = c("seqs", "feats", "links"), ...) { track_type <- match_arg(track_type, several.ok = TRUE) y <- tibble( id = track_ids(x, track_type), type = track_types(x, track_type), n = track_nrows(x, track_type) - ) %>% dplyr::group_by(.data$type) %>% - dplyr::mutate( - .after = .data$type, - i = row_number() - ) + ) %>% + dplyr::group_by(.data$type) %>% + dplyr::mutate( + .after = .data$type, + i = row_number() + ) dplyr::filter(y, .data$type %in% track_type) } #' All types of all tracks #' @inheritParams track_ids #' @return a vector of all types of all selected tracks -track_types <- function(x, track_type = c("seqs", "feats", "links")){ - flatten_chr(unname(purrr::map(track_type, ~rep(.x, length(x[[.x]]))))) +#' @noRd +track_types <- function(x, track_type = c("seqs", "feats", "links")) { + flatten_chr(unname(purrr::map(track_type, ~ rep(.x, length(x[[.x]]))))) } #' Number of rows of all tracks tables #' @inheritParams track_ids #' @return a vector of number of rows all selected tracks tables -track_nrows <- function(x, track_type = c("seqs", "feats", "links")){ - flatten_int(unname(purrr::map(track_type, ~purrr::map_int(x[[.x]], nrow)))) +#' @noRd +track_nrows <- function(x, track_type = c("seqs", "feats", "links")) { + flatten_int(unname(purrr::map(track_type, ~ purrr::map_int(x[[.x]], nrow)))) } #' Track type by track id #' @inheritParams track_ids #' @param track_id id for which to get the track type #' @return a character string with the track type -track_type <- function(x, track_id){ +#' @noRd +track_type <- function(x, track_id) { track_ids <- track_ids(x) - track_id <- vars_track(x, {{track_id}}) + track_id <- vars_track(x, {{ track_id }}) names(track_ids)[track_ids == track_id] } ## questionable -tracks <- function(x, ...){ +tracks <- function(x, ...) { UseMethod("tracks") } #' @export -tracks.gggenomes <- function(x, ...){ +tracks.gggenomes <- function(x, ...) { tracks(x$data) } #' @export -tracks.gggenomes_layout <- function(x, track_type = c("seqs", "feats", "links"), ...){ +tracks.gggenomes_layout <- function(x, track_type = c("seqs", "feats", "links"), ...) { c(x$seqs, x$feats, x$links) } #' Convert a list of tibbles into tracks with magic #' @keywords internal -as_tracks <- function(tracks, tracks_exprs, reserved_ids=NULL, context=NULL){ +#' @noRd +as_tracks <- function(tracks, tracks_exprs, reserved_ids = NULL, context = NULL) { # capture for df naming before first eval of tracks track_name <- as_label(enexpr(tracks)) - if(is.null(tracks)){ + if (is.null(tracks)) { return(tracks) - }else if(is.data.frame(tracks)){ + } else if (is.data.frame(tracks)) { tracks <- list(tracks) names(tracks) <- track_name - }else if(is_character(tracks)){ + } else if (is_character(tracks)) { tracks <- list(read_context(tracks, context)) names(tracks) <- track_name - }else if(is.list(tracks)){ - if(!is.list(tracks_exprs)) # make sure tracks_exprs is a list + } else if (is.list(tracks)) { + if (!is.list(tracks_exprs)) { # make sure tracks_exprs is a list tracks_exprs <- as.list(tracks_exprs)[-1L] - if(length(tracks_exprs) != length(tracks)){ - names(tracks) <- name_unnamed_from_template(tracks, prefix="track", offset=length(reserved_ids)) - }else{ + } + if (length(tracks_exprs) != length(tracks)) { + names(tracks) <- name_unnamed_from_template(tracks, prefix = "track", offset = length(reserved_ids)) + } else { names(tracks) <- name_unnamed_from_values(tracks_exprs) } - for(n in names(tracks)){ - if(!is.data.frame(tracks[[n]])) + for (n in names(tracks)) { + if (!is.data.frame(tracks[[n]])) { abort(paste0("track '", n, "' needs to be a data frame")) + } } - }else{ + } else { abort(paste0("track '", track_name, "' needs to be a data frame or a list of data frames")) } # track ids need to be unique all_track_ids <- c(names(tracks), reserved_ids) - if(any(duplicated(all_track_ids))){ + if (any(duplicated(all_track_ids))) { dups <- all_track_ids[duplicated(all_track_ids)] abort(paste("track ids need to be unique: ", dups)) } @@ -141,13 +149,13 @@ as_tracks <- function(tracks, tracks_exprs, reserved_ids=NULL, context=NULL){ tracks } -name_unnamed_from_template <- function(x, prefix, offset=0){ +name_unnamed_from_template <- function(x, prefix, offset = 0) { unnamed <- !have_name(x) - names(x)[unnamed] <- paste0(prefix, which(unnamed) + offset -1) + names(x)[unnamed] <- paste0(prefix, which(unnamed) + offset - 1) names(x) } -name_unnamed_from_values <- function(x){ +name_unnamed_from_values <- function(x) { unnamed <- !have_name(x) names(x)[unnamed] <- x[unnamed] names(x) diff --git a/R/variant_scales.R b/R/variant_scales.R index f97f1dd..08aedb7 100644 --- a/R/variant_scales.R +++ b/R/variant_scales.R @@ -1,96 +1,105 @@ #' Default colors and shapes for mutation types. #' -#' @description +#' @description #' The user can call upon an convenient function called `scale_color_variant`, #' which changes the color of (SNP) points, based on their nucleotides (A, C, G, T). -#' By default the function uses a colorblind friendly palette, but users can manually overwrite these colors. -#' *(Within the plotting function (e.g. `geom_variant`), coloring of the column should still be mentioned (`aes(color = ...)`).* -#' +#' By default the function uses a colorblind friendly palette, but users can manually overwrite these colors. +#' *(Within the plotting function (e.g. `geom_variant`), coloring of the column should still be mentioned (`aes(color = ...)`).* +#' #' The function `scale_shape_variant` changes the shape of plotted points based on the type of mutation. #' The user can also manually decide which shape, each specific type of mutation should have. #' By default, SNPs are diamond shaped, Deletions triangle downwards and Insertions triangle upwards. -#' (These default settings make most sense when using `geom_variant(offset = -0.2)`). +#' (These default settings make most sense when using `geom_variant(offset = -0.2)`). #' *(User should still manually call which column is used for the shape aesthetic)* -#' -#' @param values A vector indicating how to color/shape different variables. +#' +#' @param values A vector indicating how to color/shape different variables. #' The functions `scale_color_variant()` and `scale_shape_variant()` have a default setting, which can be overwritten. #' @param na.value The aesthetic value (color/shape/etc.) to use for non matching values. #' @param characters When `TRUE`, it changes the default shapes of `scale_shape_variant()` to become the letters of the nucleotides. #' @param ... Additional parameters, passed to scale_color_manual +#' @return A ggplot2 scale object for color or shape. #' @export -#' @examples -#' # Creation of example data. +#' @examples +#' # Creation of example data. #' testposition <- tibble::tibble( -#' type = c("Insertion", "SNP", "SNP", "Deletion", -#' "Deletion", "SNP", "SNP", "Insertion", "SNP", "Insertion", "SNP"), -#' start = c(10, 20, 30, 35, 40, 60, 65, 90, 90, 100, 120), -#' ALT = c("AT", "G", "C", ".", ".", "T", "C", "CAT", "G", "TC", "A"), -#' REF = c("A", "T", "G", "A", "A", "G", "A", "C", "A", "T", "G"), -#' end = start + 1, -#' seq_id = c(rep("A", 11))) -#' +#' type = c( +#' "Insertion", "SNP", "SNP", "Deletion", +#' "Deletion", "SNP", "SNP", "Insertion", "SNP", "Insertion", "SNP" +#' ), +#' start = c(10, 20, 30, 35, 40, 60, 65, 90, 90, 100, 120), +#' ALT = c("AT", "G", "C", ".", ".", "T", "C", "CAT", "G", "TC", "A"), +#' REF = c("A", "T", "G", "A", "A", "G", "A", "C", "A", "T", "G"), +#' end = start + 1, +#' seq_id = c(rep("A", 11)) +#' ) +#' #' testseq <- tibble::tibble( -#' seq_id = "A", -#' start = 0, -#' end = 150, -#' length = end-start) -#' -#' p1 <- gggenomes(seqs=testseq, feats=testposition) +#' seq_id = "A", +#' start = 0, +#' end = 150, +#' length = end - start +#' ) +#' +#' p1 <- gggenomes(seqs = testseq, feats = testposition) #' p2 <- p1 + geom_seq() #' #' ## Scale_color_variant() #' # Changing the color aesthetics in geom_variant: colors all mutations #' # (In this example, All ALT (alternative) nucleotides are being colored) -#' p1 + geom_variant(aes(color=ALT)) -#' +#' p1 + geom_variant(aes(color = ALT)) +#' #' # Color all SNPs with default colors using scale_color_variant(). -#' #(SNPs are 1 nucleotide long, other mutations such as Insertions -#' #and Deletions have either more ore less nucleotides within the -#' #ALT column and are thus not plotted) -#' p1 + geom_variant(aes(color=ALT)) + -#' scale_color_variant() -#' +#' # (SNPs are 1 nucleotide long, other mutations such as Insertions +#' # and Deletions have either more ore less nucleotides within the +#' # ALT column and are thus not plotted) +#' p1 + geom_variant(aes(color = ALT)) + +#' scale_color_variant() +#' #' # Manually changing colors with scale_color_variant() -#' p1 + geom_variant(aes(color=ALT)) + -#' scale_color_variant(values = c(A="purple", T="darkred", TC="black", AT="pink")) +#' p1 + geom_variant(aes(color = ALT)) + +#' scale_color_variant(values = c(A = "purple", T = "darkred", TC = "black", AT = "pink")) #' #' ## Scale_shape_variant() #' # Changing the `shape` aesthetics in geom_variant -#' p2 + geom_variant(aes(shape=type), offset = -0.1) -#' +#' p2 + geom_variant(aes(shape = type), offset = -0.1) +#' #' # Calling upon scale_shape_variant() to change shapes -#' p2 + geom_variant(aes(shape=type), offset = -0.1) + -#' scale_shape_variant() -#' +#' p2 + geom_variant(aes(shape = type), offset = -0.1) + +#' scale_shape_variant() +#' #' # Manually changing shapes with scale_shape_variant() -#' p2 + geom_variant(aes(shape=type), offset = -0.1) + -#' scale_shape_variant(values=c(SNP=14, Deletion=18, Insertion=21)) -#' +#' p2 + geom_variant(aes(shape = type), offset = -0.1) + +#' scale_shape_variant(values = c(SNP = 14, Deletion = 18, Insertion = 21)) +#' #' # Plotting (nucleotides) characters instead of shapes -#' p2 + geom_variant(aes(shape=ALT), offset = -0.1, size=3)+ -#' scale_shape_variant(characters=TRUE) -#' +#' p2 + geom_variant(aes(shape = ALT), offset = -0.1, size = 3) + +#' scale_shape_variant(characters = TRUE) +#' #' # Alternative way to plot nucleotides (of ALT) by using `geom=text` within `geom_variant()` -#' gggenomes(seqs=testseq, feats=testposition) + -#' geom_seq() + -#' geom_variant(aes(shape=type), offset=-0.1) + -#' scale_shape_variant() + -#' geom_variant(aes(label=ALT), geom="text", offset=-0.25) + -#' geom_bin_label() -#' +#' gggenomes(seqs = testseq, feats = testposition) + +#' geom_seq() + +#' geom_variant(aes(shape = type), offset = -0.1) + +#' scale_shape_variant() + +#' geom_variant(aes(label = ALT), geom = "text", offset = -0.25) + +#' geom_bin_label() +#' #' # Combining scale_color_variant() and scale_shape_variant() -#' p2 + geom_variant(aes(shape=ALT, color = ALT), offset = -0.1, size = 3, show.legend=FALSE) + -#' geom_variant(aes(color=ALT)) + -#' scale_color_variant(na.value = "black") + -#' scale_shape_variant(characters=TRUE) +#' p2 + geom_variant(aes(shape = ALT, color = ALT), offset = -0.1, size = 3, show.legend = FALSE) + +#' geom_variant(aes(color = ALT)) + +#' scale_color_variant(na.value = "black") + +#' scale_shape_variant(characters = TRUE) #' # The function scale_color_variant is used to get the correct shape for each kind of mutation -scale_color_variant <- function(values = c(A="#e66101", C="#b2abd2", G="#5e3c99", T="#fdb863"), na.value = "white", ...){ - scale_color_manual(values = values, na.value = na.value, ...)} +scale_color_variant <- function(values = c(A = "#e66101", C = "#b2abd2", G = "#5e3c99", T = "#fdb863"), na.value = "white", ...) { + scale_color_manual(values = values, na.value = na.value, ...) +} #' @rdname scale_color_variant #' @export # The function scale_shape_variant is used to get the correct shape for each kind of mutation -scale_shape_variant <- function(values=c(SNP=23, Deletion=25, Insertion=24), na.value = 1, characters = FALSE, ...){ - if(characters){values <- c(A=65, C=67, G=71, T= 84)} - scale_shape_manual(values=values, ...)} +scale_shape_variant <- function(values = c(SNP = 23, Deletion = 25, Insertion = 24), na.value = 1, characters = FALSE, ...) { + if (characters) { + values <- c(A = 65, C = 67, G = 71, T = 84) + } + scale_shape_manual(values = values, ...) +} diff --git a/R/vars.R b/R/vars.R index 822064c..9a7094d 100644 --- a/R/vars.R +++ b/R/vars.R @@ -3,15 +3,16 @@ #' Works like [dplyr::mutate()] but without changing existing columns, but only #' adding new ones. Useful to add possibly missing columns with default values. #' @inheritParams dplyr::mutate +#' @return a tibble with new columns #' @export #' @examples #' # ensure columns "y" and "z" exist -#' tibble::tibble(x=1:3) %>% -#' introduce(y="a", z=paste0(y, dplyr::row_number())) +#' tibble::tibble(x = 1:3) %>% +#' introduce(y = "a", z = paste0(y, dplyr::row_number())) #' # ensure columns "y" and "z" exist, but do not overwrite "y" -#' tibble::tibble(x=1:3, y=c("c", "d", "e")) %>% -#' introduce(y="a", z=paste0(y, dplyr::row_number())) -introduce <- function(.data, ...){ +#' tibble::tibble(x = 1:3, y = c("c", "d", "e")) %>% +#' introduce(y = "a", z = paste0(y, dplyr::row_number())) +introduce <- function(.data, ...) { dots <- quos(...) # ignore .data columns dots <- dots[setdiff(names(dots), names(.data))] @@ -23,15 +24,18 @@ introduce <- function(.data, ...){ #' @param x object #' @param vars required variables #' @param warn_only don't die on missing vars +#' @return the original tibble if all vars are present or warning only #' @export -require_vars <- function(x, vars, warn_only=FALSE){ +require_vars <- function(x, vars, warn_only = FALSE) { missing_vars <- vars[!(vars %in% names(x))] - if(length(missing_vars) > 0) - if(warn_only) + if (length(missing_vars) > 0) { + if (warn_only) { warn(c("Required column(s) missing: ", str_glue("{missing_vars}"))) - else + } else { abort(c("Required column(s) missing: ", str_glue("{missing_vars}"))) + } + } x } @@ -46,11 +50,12 @@ require_vars <- function(x, vars, warn_only=FALSE){ #' @return TRUE/FALSE #' @export #' @keywords internal -has_vars <- function(x, vars, any=FALSE){ - if(any) +has_vars <- function(x, vars, any = FALSE) { + if (any) { any(vars %in% names(x)) - else + } else { all(vars %in% names(x)) + } } #' match.arg defaulting to all choices @@ -58,33 +63,42 @@ has_vars <- function(x, vars, any=FALSE){ #' equivalent to base::match.arg, but returns all choices on arg=NULL if #' several.ok=TRUE #' @keywords internal -match_arg <- function (arg, choices, several.ok = FALSE){ +#' @noRd +match_arg <- function(arg, choices, several.ok = FALSE) { if (missing(choices)) { formal.args <- formals(sys.function(sysP <- sys.parent())) choices <- eval(formal.args[[as.character(substitute(arg))]], - envir = sys.frame(sysP)) + envir = sys.frame(sysP) + ) } - if (is.null(arg)) - if(several.ok) + if (is.null(arg)) { + if (several.ok) { return(choices) - else + } else { return(choices[1L]) - else if (!is.character(arg)) + } + } else if (!is.character(arg)) { stop("'arg' must be NULL or a character vector") + } if (!several.ok) { - if (identical(arg, choices)) + if (identical(arg, choices)) { return(arg[1L]) - if (length(arg) > 1L) + } + if (length(arg) > 1L) { stop("'arg' must be of length 1") - } - else if (length(arg) == 0L) + } + } else if (length(arg) == 0L) { stop("'arg' must be of length >= 1") + } i <- pmatch(arg, choices, nomatch = 0L, duplicates.ok = TRUE) - if (all(i == 0L)) + if (all(i == 0L)) { stop(gettextf("'arg' should be one of %s", paste(dQuote(choices), - collapse = ", ")), domain = NA) + collapse = ", " + )), domain = NA) + } i <- i[i > 0L] - if (!several.ok && length(i) > 1) + if (!several.ok && length(i) > 1) { stop("there is more than one match in 'match.arg'") + } choices[i] } diff --git a/R/write.R b/R/write.R index 4f3f2ae..4de206f 100644 --- a/R/write.R +++ b/R/write.R @@ -15,6 +15,7 @@ #' @param ignore_attr attributes not to be included in GFF3 tag list. Defaults #' to internals: `introns, geom_id` #' @param head additional information to add to the header section +#' @return No return value, writes to file #' @examples #' filename <- tempfile(fileext = ".gff") #' write_gff3(emale_genes, filename, emale_seqs, id_var = "feat_id") diff --git a/man/add_tracks.Rd b/man/add_tracks.Rd index c50ff69..01b32f7 100644 --- a/man/add_tracks.Rd +++ b/man/add_tracks.Rd @@ -57,13 +57,13 @@ to the parent table. }} \examples{ # Add some repeat annotations -gggenomes(seqs=emale_seqs) \%>\% - add_feats(repeats=emale_tirs) + +gggenomes(seqs = emale_seqs) \%>\% + add_feats(repeats = emale_tirs) + geom_seq() + geom_feat() # Add all-vs-all whole-genome alignments -gggenomes(seqs=emale_seqs) \%>\% - add_links(links=emale_ava) + +gggenomes(seqs = emale_seqs) \%>\% + add_links(links = emale_ava) + geom_seq() + geom_link() # Add domains to genes diff --git a/man/anchor.Rd b/man/anchor.Rd deleted file mode 100644 index b4f5abf..0000000 --- a/man/anchor.Rd +++ /dev/null @@ -1,12 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/coords.R -\name{anchor} -\alias{anchor} -\title{The virtual x-start of the full length seq in the plot} -\usage{ -anchor(x, start, strand) -} -\description{ -Together with the seq strand, this is sufficient to project feats -} -\keyword{internal} diff --git a/man/as_seqs.Rd b/man/as_seqs.Rd index b1522ed..e5e75b0 100644 --- a/man/as_seqs.Rd +++ b/man/as_seqs.Rd @@ -34,8 +34,9 @@ Obligatory columns are \code{seq_id}, \code{bin_id} and \code{length}. \examples{ chr <- tibble::tibble( seq_id = c("a1", "b1", "b2"), - bin_id = c(rep("A", 1), rep("B",2)), - length = c(5000,3000,1400)) + bin_id = c(rep("A", 1), rep("B", 2)), + length = c(5000, 3000, 1400) +) as_seqs(chr) } diff --git a/man/as_tracks.Rd b/man/as_tracks.Rd deleted file mode 100644 index dacc014..0000000 --- a/man/as_tracks.Rd +++ /dev/null @@ -1,12 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/tracks.R -\name{as_tracks} -\alias{as_tracks} -\title{Convert a list of tibbles into tracks with magic} -\usage{ -as_tracks(tracks, tracks_exprs, reserved_ids = NULL, context = NULL) -} -\description{ -Convert a list of tibbles into tracks with magic -} -\keyword{internal} diff --git a/man/combine_strands.Rd b/man/combine_strands.Rd index 029efa5..dc58b63 100644 --- a/man/combine_strands.Rd +++ b/man/combine_strands.Rd @@ -13,6 +13,9 @@ combine_strands(strand, strand2, ...) \item{...}{more strands} } +\value{ +the combined strand +} \description{ Combine strands } diff --git a/man/comma.Rd b/man/comma.Rd deleted file mode 100644 index 0c9d0f2..0000000 --- a/man/comma.Rd +++ /dev/null @@ -1,17 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/aaa.R -\name{comma} -\alias{comma} -\title{Collapse a string with commas} -\usage{ -comma(x, collapse = ",") -} -\arguments{ -\item{x}{vector (coerced to character)} - -\item{collapse}{character string to separate elements.} -} -\description{ -Collapse a string with commas -} -\keyword{internal} diff --git a/man/def_formats.Rd b/man/def_formats.Rd index d600ff4..367d3b6 100644 --- a/man/def_formats.Rd +++ b/man/def_formats.Rd @@ -61,9 +61,9 @@ context \code{read_seqs("*.gbk")}, a sequence index. def_formats("foo.fa") # formats associated with each extension -def_formats(ext=c("fa", "gff")) +def_formats(ext = c("fa", "gff")) # all formats/extensions that can be read in seqs context; includes formats # that are defined for context=NA, i.e. that can be read in any context. -def_formats(context="seqs") +def_formats(context = "seqs") } diff --git a/man/def_names.Rd b/man/def_names.Rd index a4edbeb..f1de5d8 100644 --- a/man/def_names.Rd +++ b/man/def_names.Rd @@ -43,5 +43,5 @@ Intended to be used in \code{\link[readr:read_delim]{readr::read_tsv()}}-like fu \examples{ # read a blast-tabular file with read_tsv -readr::read_tsv(ex("emales/emales-prot-ava.o6"), col_names=def_names("blast")) +readr::read_tsv(ex("emales/emales-prot-ava.o6"), col_names = def_names("blast")) } diff --git a/man/drop_feat_layout.Rd b/man/drop_feat_layout.Rd index 5dd1ec9..d863219 100644 --- a/man/drop_feat_layout.Rd +++ b/man/drop_feat_layout.Rd @@ -11,6 +11,9 @@ drop_feat_layout(x, keep = "strand") \item{keep}{features to keep} } +\value{ +feat_layout without unwanted features +} \description{ Drop feature layout } diff --git a/man/drop_link_layout.Rd b/man/drop_link_layout.Rd index e1e71c1..27334fd 100644 --- a/man/drop_link_layout.Rd +++ b/man/drop_link_layout.Rd @@ -11,6 +11,9 @@ drop_link_layout(x, keep = "strand") \item{keep}{features to keep} } +\value{ +link_layout without unwanted features +} \description{ Drop a link layout } diff --git a/man/drop_seq_layout.Rd b/man/drop_seq_layout.Rd index df74530..88f3162 100644 --- a/man/drop_seq_layout.Rd +++ b/man/drop_seq_layout.Rd @@ -11,6 +11,9 @@ drop_seq_layout(x, keep = "strand") \item{keep}{features to keep} } +\value{ +seq_layout without unwanted features +} \description{ Drop a seq layout } diff --git a/man/ex.Rd b/man/ex.Rd index 1456ac5..4944e9e 100644 --- a/man/ex.Rd +++ b/man/ex.Rd @@ -9,6 +9,9 @@ ex(file = NULL) \arguments{ \item{file}{name of example file} } +\value{ +path to example file +} \description{ Get path to gggenomes example files } diff --git a/man/file_label.Rd b/man/file_label.Rd deleted file mode 100644 index 57de5e7..0000000 --- a/man/file_label.Rd +++ /dev/null @@ -1,15 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/read.R -\name{file_label} -\alias{file_label} -\title{Add a unique name to files} -\usage{ -file_label(file) -} -\arguments{ -\item{file}{vector of files} -} -\description{ -Given a vector of file paths, add a unique labels based on the filename as -vector names -} diff --git a/man/flip_strand.Rd b/man/flip_strand.Rd index 6e61dfd..16459d5 100644 --- a/man/flip_strand.Rd +++ b/man/flip_strand.Rd @@ -11,6 +11,9 @@ flip_strand(strand, na = NA) \item{na}{what to use for \code{NA}} } +\value{ +the strand flipped +} \description{ Flip strand } diff --git a/man/focus.Rd b/man/focus.Rd index a36c72b..f0a9249 100644 --- a/man/focus.Rd +++ b/man/focus.Rd @@ -85,6 +85,11 @@ at least 3 target features.} \item{.locus_track}{The name of the new track containing the identified loci.} } +\value{ +A gggenomes object focused on the desired loci + +A gggenomes object with the new loci track added +} \description{ Show loci containing features of interest. Loci can either be provided as predefined regions directly (\verb{loci=}), or are constructed automatically diff --git a/man/geom_bin_label.Rd b/man/geom_bin_label.Rd index 3b3e21d..ea321d0 100644 --- a/man/geom_bin_label.Rd +++ b/man/geom_bin_label.Rd @@ -81,6 +81,9 @@ lists which parameters it can accept. \link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. }} } +\value{ +Bin labels are added as a text layer/component to the plot. +} \description{ Put bin labels left of the sequences. \code{nudge_left} adds space relative to the total bin width between the label and the seqs, by default 5\%. \code{expand_left} @@ -92,25 +95,25 @@ specific location } \examples{ s0 <- read_seqs(list.files(ex("cafeteria"), "Cr.*\\\\.fa.fai$", full.names = TRUE)) -s1 <- s0 \%>\% dplyr::filter(length>5e5) +s1 <- s0 \%>\% dplyr::filter(length > 5e5) gggenomes(emale_genes) + geom_seq() + geom_gene() + geom_bin_label() # make larger labels and extra room on the canvas gggenomes(emale_genes) + geom_seq() + geom_gene() + - geom_bin_label(size = 7, expand_left =.4) + geom_bin_label(size = 7, expand_left = .4) # align labels for wrapped bins: # top -gggenomes(seqs=s1, infer_bin_id=file_id, wrap=5e6) + +gggenomes(seqs = s1, infer_bin_id = file_id, wrap = 5e6) + geom_seq() + geom_bin_label() + geom_seq_label() # center -gggenomes(seqs=s1, infer_bin_id=file_id, wrap=5e6) + - geom_seq() + geom_bin_label(yjust=.5) + geom_seq_label() +gggenomes(seqs = s1, infer_bin_id = file_id, wrap = 5e6) + + geom_seq() + geom_bin_label(yjust = .5) + geom_seq_label() # bottom -gggenomes(seqs=s1, infer_bin_id=file_id, wrap=5e6) + - geom_seq() + geom_bin_label(yjust=1) + geom_seq_label() +gggenomes(seqs = s1, infer_bin_id = file_id, wrap = 5e6) + + geom_seq() + geom_bin_label(yjust = 1) + geom_seq_label() } diff --git a/man/geom_feat.Rd b/man/geom_feat.Rd index 0b869ef..9efc851 100644 --- a/man/geom_feat.Rd +++ b/man/geom_feat.Rd @@ -81,6 +81,9 @@ lists which parameters it can accept. \link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. }} } +\value{ +A ggplot2 layer with features. +} \description{ \code{geom_feat()} allows the user to draw (additional) features to the plot/graph. For example, specific regions within a sequence (e.g. transposons, introns, mutation hotspots) diff --git a/man/geom_feat_text.Rd b/man/geom_feat_text.Rd index a26e678..0c3f7da 100644 --- a/man/geom_feat_text.Rd +++ b/man/geom_feat_text.Rd @@ -220,6 +220,19 @@ the default plot specification, e.g. \code{\link[ggplot2:borders]{borders()}}.} \item{strandwise}{plotting of feature tags} } +\value{ +A ggplot2 layer with gene text. + +A ggplot2 layer with feature tags. + +A ggplot2 layer with feature notes. + +A ggplot2 layer with gene text. + +A ggplot2 layer with gene tags. + +A ggplot2 layer with gene notes. +} \description{ The functions below are useful for labeling features/genes in plots. Users have to call on \code{aes(label = ...)} or \code{(label = ...) }to define label's text diff --git a/man/geom_gene.Rd b/man/geom_gene.Rd index 7035b46..4c1c512 100644 --- a/man/geom_gene.Rd +++ b/man/geom_gene.Rd @@ -114,6 +114,9 @@ same color.} \item{...}{passed to layer params} } +\value{ +A ggplot2 layer with genes. +} \description{ Draw coding sequences, mRNAs and other non-coding features. Supports multi-exon features. CDS and mRNAs in the same group are plotted together. diff --git a/man/geom_gene_label.Rd b/man/geom_gene_label.Rd index fc4998d..f3fe17e 100644 --- a/man/geom_gene_label.Rd +++ b/man/geom_gene_label.Rd @@ -99,6 +99,9 @@ lists which parameters it can accept. \item{repel}{use ggrepel to avoid overlaps} } +\value{ +Gene labels are added as a text layer/component to the plot. +} \description{ These \code{geom_..._label()} functions able the user to plot labels/text at individual features and/or links. Users have to indicate how to label the features/links by specifying \code{label = ...} or \verb{aes(label = ...} diff --git a/man/geom_link.Rd b/man/geom_link.Rd index 4b27704..d23fbe1 100644 --- a/man/geom_link.Rd +++ b/man/geom_link.Rd @@ -120,6 +120,9 @@ lists which parameters it can accept. \link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. }} } +\value{ +A ggplot2 layer with links. +} \description{ Draws connections between genomes, such as genome/gene/protein alignments and gene/protein clusters. \code{geom_link()} draws links as filled @@ -139,36 +142,35 @@ Note, when start/end is not specified, links will be created between the entire contigs of \code{seq_id} and \code{seq_id2}. } \examples{ -p0 <- gggenomes(seqs=emale_seqs, links = emale_ava) + geom_seq() +p0 <- gggenomes(seqs = emale_seqs, links = emale_ava) + geom_seq() # default links p1 <- p0 + geom_link() # change offset from seqs and color -p2 <- p0 + geom_link(aes(fill=de, color=de), offset = 0.05) + +p2 <- p0 + geom_link(aes(fill = de, color = de), offset = 0.05) + scale_fill_viridis_b() + scale_colour_viridis_b() # combine with flip -p3 <- p0 |> flip(3,4,5) + +p3 <- p0 |> flip(3, 4, 5) + geom_link() # compute & show all links among all genomes # usually not useful and not recommended for large dataset -p4 <- gggenomes(links=emale_ava, adjacent_only = FALSE) + geom_link() +p4 <- gggenomes(links = emale_ava, adjacent_only = FALSE) + geom_link() library(patchwork) # combine plots in one figure -p1 + p2 + p3 + p4 + plot_layout(nrow=1) +p1 + p2 + p3 + p4 + plot_layout(nrow = 1) q0 <- gggenomes(emale_genes, emale_seqs) |> add_clusters(emale_cogs) + geom_seq() + geom_gene() # link gene clusters with polygon -q1 <- q0 + geom_link(aes(fill=cluster_id)) +q1 <- q0 + geom_link(aes(fill = cluster_id)) # link gene clusters with lines -q2 <- q0 + geom_link_line(aes(color=cluster_id)) - -q1 + q2 + plot_layout(nrow=1, guides = "collect") +q2 <- q0 + geom_link_line(aes(color = cluster_id)) +q1 + q2 + plot_layout(nrow = 1, guides = "collect") } diff --git a/man/geom_seq.Rd b/man/geom_seq.Rd index 20c619c..4adbd7a 100644 --- a/man/geom_seq.Rd +++ b/man/geom_seq.Rd @@ -66,49 +66,50 @@ Note: The \code{seqs} track indicates the length/region of the sequence/contigs \examples{ # Simple example of geom_seq gggenomes(seqs = emale_seqs) + - geom_seq() + #creates contigs - geom_bin_label() #labels bins/sequences + geom_seq() + # creates contigs + geom_bin_label() # labels bins/sequences # No sequence information supplied, will inform/warn that seqs are inferred from feats. gggenomes(genes = emale_genes) + - geom_seq() + #creates contigs - geom_gene() + #draws genes on top of contigs - geom_bin_label() #labels bins/sequences + geom_seq() + # creates contigs + geom_gene() + # draws genes on top of contigs + geom_bin_label() # labels bins/sequences # Sequence data controls what sequences and/or regions will be plotted. # Here one sequence is filtered out, Notice that the genes of the removed # sequence are silently ignored and thus not plotted. missing_seqs <- emale_seqs |> dplyr::filter(seq_id != "Cflag_017B") |> - dplyr::arrange(seq_id) #`arrange` to restore alphabetical order. + dplyr::arrange(seq_id) # `arrange` to restore alphabetical order. gggenomes(seqs = missing_seqs, genes = emale_genes) + - geom_seq() + #creates contigs - geom_gene() + #draws genes on top of contigs - geom_bin_label() #labels bins/sequences - - # Several sequences belonging to the same *bin* are plotted next to one another + geom_seq() + # creates contigs + geom_gene() + # draws genes on top of contigs + geom_bin_label() # labels bins/sequences + +# Several sequences belonging to the same *bin* are plotted next to one another seqs <- tibble::tibble( -bin_id = c("A", "A", "A", "B", "B", "B", "B", "C", "C"), -seq_id = c("A1", "A2", "A3", "B1", "B2", "B3", "B4", "C1", "C2"), -start = c(0, 100, 200, 0, 50, 150, 250, 0, 400), -end = c(100, 200, 400, 50, 100, 250, 300, 300, 500), -length = c(100, 100, 200, 50, 50, 100, 50, 300, 100)) + bin_id = c("A", "A", "A", "B", "B", "B", "B", "C", "C"), + seq_id = c("A1", "A2", "A3", "B1", "B2", "B3", "B4", "C1", "C2"), + start = c(0, 100, 200, 0, 50, 150, 250, 0, 400), + end = c(100, 200, 400, 50, 100, 250, 300, 300, 500), + length = c(100, 100, 200, 50, 50, 100, 50, 300, 100) +) gggenomes(seqs = seqs) + -geom_seq() + -geom_bin_label() + #label bins -geom_seq_label() #label individual sequences + geom_seq() + + geom_bin_label() + # label bins + geom_seq_label() # label individual sequences # Wrap bins uptill a certain amount. -gggenomes(seqs = seqs, wrap=300) + -geom_seq() + -geom_bin_label() + #label bins -geom_seq_label() #label individual sequences +gggenomes(seqs = seqs, wrap = 300) + + geom_seq() + + geom_bin_label() + # label bins + geom_seq_label() # label individual sequences # Change the space between sequences belonging to one bin gggenomes(seqs = seqs, spacing = 100) + -geom_seq() + -geom_bin_label() + #label bins -geom_seq_label() #label individual sequences + geom_seq() + + geom_bin_label() + # label bins + geom_seq_label() # label individual sequences } diff --git a/man/geom_seq_break.Rd b/man/geom_seq_break.Rd index 7bce7b2..eccb8ac 100644 --- a/man/geom_seq_break.Rd +++ b/man/geom_seq_break.Rd @@ -95,6 +95,9 @@ lists which parameters it can accept. \link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. }} } +\value{ +A ggplot2 layer with sequence breaks. +} \description{ \code{geom_seq_break()} adds decorations to the ends of truncated sequences. These could arise from zooming onto sequence loci with \code{focus()}, or manually @@ -103,15 +106,15 @@ annotating sequences with start > 1 and/or end < length. \examples{ # decorate breaks created with focus() gggenomes(emale_genes, emale_seqs) |> - focus(.expand=1e3, .max_dist = 1e3) + + focus(.expand = 1e3, .max_dist = 1e3) + geom_seq() + geom_gene() + geom_seq_break() # customize decorations gggenomes(emale_genes, emale_seqs) |> - focus(.expand=1e3, .max_dist = 1e3) + + focus(.expand = 1e3, .max_dist = 1e3) + geom_seq() + geom_gene() + - geom_seq_break(label=c("[", "]"), size=3, color="#1b9e77") + geom_seq_break(label = c("[", "]"), size = 3, color = "#1b9e77") # decorate manually truncated sequences s0 <- tibble::tribble( @@ -133,8 +136,8 @@ l0 <- tibble::tribble( "contig_3_trunc_2sides", 1e4, 1.3e4 ) -gggenomes(seqs=s0, links=l0) + +gggenomes(seqs = s0, links = l0) + geom_seq() + geom_link() + - geom_seq_label(nudge_y=-.05) + + geom_seq_label(nudge_y = -.05) + geom_seq_break() } diff --git a/man/geom_seq_label.Rd b/man/geom_seq_label.Rd index ca28350..4f1eb56 100644 --- a/man/geom_seq_label.Rd +++ b/man/geom_seq_label.Rd @@ -72,6 +72,9 @@ lists which parameters it can accept. \link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. }} } +\value{ +Sequence labels are added as a text layer/component to the plot. +} \description{ This function will put labels at each individual sequence. By default it will plot the \code{seq_id} as label, but users are able to change this manually. @@ -85,29 +88,30 @@ Any changes to the aesthetics of the text can be performed in a ggplot2 manner. \examples{ # example data seqs <- tibble::tibble( -bin_id = c("A", "A", "A", "B", "B", "B", "B", "C", "C"), -seq_id = c("A1", "A2", "A3", "B1", "B2", "B3", "B4", "C1", "C2"), -start = c(0, 100, 200, 0, 50, 150, 250, 0, 400), -end = c(100, 200, 400, 50, 100, 250, 300, 300, 500), -length = c(100, 100, 200, 50, 50, 100, 50, 300, 100)) + bin_id = c("A", "A", "A", "B", "B", "B", "B", "C", "C"), + seq_id = c("A1", "A2", "A3", "B1", "B2", "B3", "B4", "C1", "C2"), + start = c(0, 100, 200, 0, 50, 150, 250, 0, 400), + end = c(100, 200, 400, 50, 100, 250, 300, 300, 500), + length = c(100, 100, 200, 50, 50, 100, 50, 300, 100) +) # example plot using geom_seq_label gggenomes(seqs = seqs) + -geom_seq() + -geom_seq_label() + geom_seq() + + geom_seq_label() -# changing default label to `length` column +# changing default label to `length` column gggenomes(seqs = seqs) + -geom_seq() + -geom_seq_label(aes(label=length)) + geom_seq() + + geom_seq_label(aes(label = length)) -# with horizontal adjustment +# with horizontal adjustment gggenomes(seqs = seqs) + -geom_seq() + -geom_seq_label(hjust = -5) + geom_seq() + + geom_seq_label(hjust = -5) # with wrapping at 300 -gggenomes(seqs=seqs, wrap = 300) + -geom_seq() + -geom_seq_label() +gggenomes(seqs = seqs, wrap = 300) + + geom_seq() + + geom_seq_label() } diff --git a/man/geom_variant.Rd b/man/geom_variant.Rd index 8375d9e..5448466 100644 --- a/man/geom_variant.Rd +++ b/man/geom_variant.Rd @@ -79,6 +79,9 @@ lists which parameters it can accept. \link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. }} } +\value{ +A ggplot2 layer with variant information. +} \description{ geom_variant allows the user to draw points at locations where a mutation has occured. Data on SNPs, Insertions, Deletions and more (often stored in a variant call format (VCF)) can easily be visualized this way. @@ -94,67 +97,79 @@ can be called upon to modify the data visualization. # Creation of example data. # (Note: These are mere examples and do not fully resemble data from VCF-files) ## Small example data set -f1 <- tibble::tibble(seq_id = c(rep(c("A", "B"), 4)), start = c(1, 10, 15, 15, 30, 40, 40, 50), - end = c(2, 11, 20, 16, 31, 41, 50, 51), length = end-start, - type = c("SNP", "SNP", "Insertion", "Deletion", "Deletion", "SNP", "Insertion", "SNP"), - ALT = c("A", "T", "CAT", ".", ".", "G", "GG", "G"), - REF = c("C", "G", "C", "A", "A", "C", "G", "T")) - s1 <- tibble::tibble(seq_id = c("A", "B"), start = c(0, 0), end = c(55, 55), length = end-start) - - ## larger example data set - f2 <- tibble::tibble(seq_id = c(rep("A", 667)), - start = c(seq(from=1, to=500, by =2), - seq(from=500, to =2500, by = 50), - seq(from=2500, to = 4000, by=4)), - end = start+1, length = end-start, - type = c(rep("SNP", 100), - rep("Deletion", 20), - rep("SNP", 180), - rep("Deletion", 67), - rep("SNP", 100), - rep("Insertion", 50), - rep("SNP", 150)), - ALT = c(sample(x=c("A", "C", "G", "T"), size = 100, replace = TRUE), - rep(".", 20), sample(x=c("A", "C", "G", "T"), size = 180, replace=TRUE), - rep(".", 67), sample(x=c("A", "C", "G", "T"), size = 100, replace=TRUE), - sample(x=c("AA", "AC", "AG", "AT", "CA", "CC", "CG", "CT", "GA", "GC", - "GG", "GT", "TA", "TC", "TG", "TT"), size = 50, replace = TRUE), - sample(x=c("A", "C", "G", "T"), size = 150, replace=TRUE))) - - # Basic example plot with geom_variant - gggenomes(seqs = s1, feats = f1) + - geom_seq() + - geom_variant() - - # Improving plot elements, by changing shape and adding bin_label - gggenomes(seqs = s1, feats = f1) + - geom_seq() + - geom_variant(aes(shape=type), offset = -0.1) + - scale_shape_variant() + - geom_bin_label() - - # Positional adjustment based on type of mutation: position_variant - gggenomes(seqs = s1, feats = f1) + - geom_seq() + - geom_variant( - aes(shape=type), - position = position_variant(offset = c(Insertion=-0.2, Deletion=-0.2, SNP=0)) - ) + - scale_shape_variant() + - geom_bin_label() - - # Plotting larger example data set with Changing default geom to - # `geom = "ticks"` using positional adjustment based on type (`position_variant`) - gggenomes(feats = f2) + - geom_variant(aes(color = type), geom = "ticks", alpha = 0.4, position = position_variant()) + - geom_bin_label() - - # Changing geom to `"text"`, to plot ALT nucleotides - gggenomes(seqs=s1, feats=f1) + - geom_seq() + - geom_variant(aes(shape=type), offset=-0.1) + - scale_shape_variant() + - geom_variant(aes(label=ALT), geom="text", offset=-0.25) + - geom_bin_label() - +f1 <- tibble::tibble( + seq_id = c(rep(c("A", "B"), 4)), start = c(1, 10, 15, 15, 30, 40, 40, 50), + end = c(2, 11, 20, 16, 31, 41, 50, 51), length = end - start, + type = c("SNP", "SNP", "Insertion", "Deletion", "Deletion", "SNP", "Insertion", "SNP"), + ALT = c("A", "T", "CAT", ".", ".", "G", "GG", "G"), + REF = c("C", "G", "C", "A", "A", "C", "G", "T") +) +s1 <- tibble::tibble(seq_id = c("A", "B"), start = c(0, 0), end = c(55, 55), length = end - start) + +## larger example data set +f2 <- tibble::tibble( + seq_id = c(rep("A", 667)), + start = c( + seq(from = 1, to = 500, by = 2), + seq(from = 500, to = 2500, by = 50), + seq(from = 2500, to = 4000, by = 4) + ), + end = start + 1, length = end - start, + type = c( + rep("SNP", 100), + rep("Deletion", 20), + rep("SNP", 180), + rep("Deletion", 67), + rep("SNP", 100), + rep("Insertion", 50), + rep("SNP", 150) + ), + ALT = c( + sample(x = c("A", "C", "G", "T"), size = 100, replace = TRUE), + rep(".", 20), sample(x = c("A", "C", "G", "T"), size = 180, replace = TRUE), + rep(".", 67), sample(x = c("A", "C", "G", "T"), size = 100, replace = TRUE), + sample(x = c( + "AA", "AC", "AG", "AT", "CA", "CC", "CG", "CT", "GA", "GC", + "GG", "GT", "TA", "TC", "TG", "TT" + ), size = 50, replace = TRUE), + sample(x = c("A", "C", "G", "T"), size = 150, replace = TRUE) + ) +) + +# Basic example plot with geom_variant +gggenomes(seqs = s1, feats = f1) + + geom_seq() + + geom_variant() + +# Improving plot elements, by changing shape and adding bin_label +gggenomes(seqs = s1, feats = f1) + + geom_seq() + + geom_variant(aes(shape = type), offset = -0.1) + + scale_shape_variant() + + geom_bin_label() + +# Positional adjustment based on type of mutation: position_variant +gggenomes(seqs = s1, feats = f1) + + geom_seq() + + geom_variant( + aes(shape = type), + position = position_variant(offset = c(Insertion = -0.2, Deletion = -0.2, SNP = 0)) + ) + + scale_shape_variant() + + geom_bin_label() + +# Plotting larger example data set with Changing default geom to +# `geom = "ticks"` using positional adjustment based on type (`position_variant`) +gggenomes(feats = f2) + + geom_variant(aes(color = type), geom = "ticks", alpha = 0.4, position = position_variant()) + + geom_bin_label() + +# Changing geom to `"text"`, to plot ALT nucleotides +gggenomes(seqs = s1, feats = f1) + + geom_seq() + + geom_variant(aes(shape = type), offset = -0.1) + + scale_shape_variant() + + geom_variant(aes(label = ALT), geom = "text", offset = -0.25) + + geom_bin_label() + } diff --git a/man/geom_wiggle.Rd b/man/geom_wiggle.Rd index 60e85d9..5d8e75d 100644 --- a/man/geom_wiggle.Rd +++ b/man/geom_wiggle.Rd @@ -148,6 +148,9 @@ lists which parameters it can accept. be both a function or a vector returning those three values. Defaults to \link[Hmisc:smean.sd]{Hmisc::smedian.hilow}.} } +\value{ +A ggplot2 layer with coverage information. +} \description{ Visualize data that varies along sequences as ribbons, lines, lineranges, etc. diff --git a/man/get_seqlen.Rd b/man/get_seqlen.Rd deleted file mode 100644 index bffeb2b..0000000 --- a/man/get_seqlen.Rd +++ /dev/null @@ -1,15 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/synteny_to_link.R -\name{get_seqlen} -\alias{get_seqlen} -\title{Helper to extract seqlengths from DECIPHER::FindSyntney Object} -\usage{ -get_seqlen(synteny_obj) -} -\arguments{ -\item{synteny_obj}{A object produced by DECIPHER::FindSynteny} -} -\description{ -Helper to extract seqlengths from DECIPHER::FindSyntney Object -} -\keyword{internal} diff --git a/man/gggenomes.Rd b/man/gggenomes.Rd index 46f7b3e..15f8f39 100644 --- a/man/gggenomes.Rd +++ b/man/gggenomes.Rd @@ -108,28 +108,33 @@ and we can use that information to set sensible default aesthetic mappings for m # Compare the genomic organization of three viral elements # EMALEs: endogenous mavirus-like elements (example data shipped with gggenomes) gggenomes(emale_genes, emale_seqs, emale_tirs, emale_ava) + - geom_seq() + geom_bin_label() + # chromosomes and labels - geom_feat(size=8) + # terminal inverted repeats - geom_gene(aes(fill=strand), position="strand") + # genes - geom_link(offset = 0.15) # synteny-blocks + geom_seq() + geom_bin_label() + # chromosomes and labels + geom_feat(size = 8) + # terminal inverted repeats + geom_gene(aes(fill = strand), position = "strand") + # genes + geom_link(offset = 0.15) # synteny-blocks # with some more information gggenomes(emale_genes, emale_seqs, emale_tirs, emale_ava) \%>\% add_feats(emale_ngaros, emale_gc) \%>\% add_clusters(emale_cogs) \%>\% sync() + - geom_link(offset = 0.15, color="white") + # synteny-blocks - geom_seq() + geom_bin_label() + # chromosomes and labels + geom_link(offset = 0.15, color = "white") + # synteny-blocks + geom_seq() + geom_bin_label() + # chromosomes and labels # thistle4, salmon4, burlywood4 - geom_feat(size=6, position="identity") + # terminal inverted repeats - geom_feat(data=feats(emale_ngaros), color="turquoise4", alpha=.3, - position="strand", size=16) + - geom_feat_note(aes(label=type), data=feats(emale_ngaros), - position="strand", nudge_y = .3) + - geom_gene(aes(fill=cluster_id), position="strand") + # genes - geom_wiggle(aes(z=score, linetype="GC-content"), feats(emale_gc), - fill="lavenderblush4", position=position_nudge(y=-.2), height = .2) + - scale_fill_brewer("Conserved genes", palette="Dark2", na.value = "cornsilk3") + geom_feat(size = 6, position = "identity") + # terminal inverted repeats + geom_feat( + data = feats(emale_ngaros), color = "turquoise4", alpha = .3, + position = "strand", size = 16 + ) + + geom_feat_note(aes(label = type), + data = feats(emale_ngaros), + position = "strand", nudge_y = .3 + ) + + geom_gene(aes(fill = cluster_id), position = "strand") + # genes + geom_wiggle(aes(z = score, linetype = "GC-content"), feats(emale_gc), + fill = "lavenderblush4", position = position_nudge(y = -.2), height = .2 + ) + + scale_fill_brewer("Conserved genes", palette = "Dark2", na.value = "cornsilk3") # initialize plot directly from files gggenomes( @@ -142,6 +147,6 @@ gggenomes( # multi-contig genomes wrap to fixed width s0 <- read_seqs(list.files(ex("cafeteria"), "Cr.*\\\\.fa.fai$", full.names = TRUE)) s1 <- s0 \%>\% dplyr::filter(length > 5e5) -gggenomes(seqs=s1, infer_bin_id=file_id, wrap=5e6) + +gggenomes(seqs = s1, infer_bin_id = file_id, wrap = 5e6) + geom_seq() + geom_bin_label() + geom_seq_label() } diff --git a/man/if_reverse.Rd b/man/if_reverse.Rd index 8ebf889..6b9d005 100644 --- a/man/if_reverse.Rd +++ b/man/if_reverse.Rd @@ -13,6 +13,9 @@ if_reverse(strand, reverse, forward) \item{forward}{value to use for forward elements} } +\value{ +vector with values based on strandedness +} \description{ Vectorised if_else based on strandedness } diff --git a/man/in_range.Rd b/man/in_range.Rd index fc723bf..5852a8e 100644 --- a/man/in_range.Rd +++ b/man/in_range.Rd @@ -23,13 +23,14 @@ Do numeric values fall into specified ranges? } \examples{ in_range(1:5, 2, 4) -in_range(1:5, 2, 4, closed=c(FALSE, TRUE)) # left-open +in_range(1:5, 2, 4, closed = c(FALSE, TRUE)) # left-open in_range(1:5, 6:2, 3) # vector of boundaries, single values recycle # plays nicely with dplyr -df <- tibble::tibble(x=rep(4,5), left=1:5, right=3:7) +df <- tibble::tibble(x = rep(4, 5), left = 1:5, right = 3:7) dplyr::mutate(df, - closed=in_range(x, left, right, TRUE), - open=in_range(x, left, right, FALSE)) + closed = in_range(x, left, right, TRUE), + open = in_range(x, left, right, FALSE) +) } diff --git a/man/introduce.Rd b/man/introduce.Rd index c35446f..b86e597 100644 --- a/man/introduce.Rd +++ b/man/introduce.Rd @@ -23,15 +23,18 @@ if ungrouped). \item A data frame or tibble, to create multiple columns in the output. }} } +\value{ +a tibble with new columns +} \description{ Works like \code{\link[dplyr:mutate]{dplyr::mutate()}} but without changing existing columns, but only adding new ones. Useful to add possibly missing columns with default values. } \examples{ # ensure columns "y" and "z" exist -tibble::tibble(x=1:3) \%>\% - introduce(y="a", z=paste0(y, dplyr::row_number())) +tibble::tibble(x = 1:3) \%>\% + introduce(y = "a", z = paste0(y, dplyr::row_number())) # ensure columns "y" and "z" exist, but do not overwrite "y" -tibble::tibble(x=1:3, y=c("c", "d", "e")) \%>\% - introduce(y="a", z=paste0(y, dplyr::row_number())) +tibble::tibble(x = 1:3, y = c("c", "d", "e")) \%>\% + introduce(y = "a", z = paste0(y, dplyr::row_number())) } diff --git a/man/is_reverse.Rd b/man/is_reverse.Rd index 12627fb..8d38d63 100644 --- a/man/is_reverse.Rd +++ b/man/is_reverse.Rd @@ -11,6 +11,9 @@ is_reverse(strand, na = FALSE) \item{na}{what to use for \code{NA}} } +\value{ +logical vector indicating whether the strand is reverse +} \description{ Check whether strand is reverse } diff --git a/man/layout_feats.Rd b/man/layout_feats.Rd deleted file mode 100644 index 38e659b..0000000 --- a/man/layout_feats.Rd +++ /dev/null @@ -1,29 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/feats.R -\name{layout_feats} -\alias{layout_feats} -\title{Layout feats} -\usage{ -layout_feats( - x, - seqs, - keep = "strand", - marginal = c("trim", "drop", "keep"), - ... -) -} -\arguments{ -\item{x}{feat data convertible to a feat layout} - -\item{seqs}{the sequence layout the feat map onto.} - -\item{marginal}{how to handle feats that stick out of sequences, for -example after focusing in on a subregion. Choices are to "drop" them, "keep" -them or "trim" them to the subregion boundaries.} - -\item{...}{not used} -} -\description{ -Augment feats with all data necessary for plotting -} -\keyword{internal} diff --git a/man/layout_links.Rd b/man/layout_links.Rd deleted file mode 100644 index 8c97b3e..0000000 --- a/man/layout_links.Rd +++ /dev/null @@ -1,26 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/links.R -\name{layout_links} -\alias{layout_links} -\title{Layout tbl_link} -\usage{ -layout_links( - x, - seqs, - keep = "strand", - adjacent_only = TRUE, - marginal = c("trim", "drop", "keep"), - ... -) -} -\arguments{ -\item{x}{link data convertible to a link layout} - -\item{seqs}{the sequence layout the feat map onto.} - -\item{...}{not used} -} -\description{ -Layout tbl_link -} -\keyword{internal} diff --git a/man/layout_seqs.Rd b/man/layout_seqs.Rd index d9df49e..2a4c3d2 100644 --- a/man/layout_seqs.Rd +++ b/man/layout_seqs.Rd @@ -24,6 +24,9 @@ per lin.} \item{keep}{keys to keep (default: "strand")} } +\value{ +a tbl_df with plot coordinates +} \description{ Layout sequences } diff --git a/man/match_arg.Rd b/man/match_arg.Rd deleted file mode 100644 index d0ac3b6..0000000 --- a/man/match_arg.Rd +++ /dev/null @@ -1,13 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/vars.R -\name{match_arg} -\alias{match_arg} -\title{match.arg defaulting to all choices} -\usage{ -match_arg(arg, choices, several.ok = FALSE) -} -\description{ -equivalent to base::match.arg, but returns all choices on arg=NULL if -several.ok=TRUE -} -\keyword{internal} diff --git a/man/pick.Rd b/man/pick.Rd index b464eb0..b3c1efd 100644 --- a/man/pick.Rd +++ b/man/pick.Rd @@ -27,6 +27,15 @@ multiple arguments with \code{c()}!} \item{infer_bin_id}{an expression to extract bin_ids from the tree data.} } +\value{ +gggenomes object with selected bins and seqs. + +gggenomes object with selected seqs. + +gggenomes object with selected seqs. + +gggenomes object with seqs selected by tree order. +} \description{ Pick which bins and seqs to show and in what order. Uses \code{\link[dplyr:select]{dplyr::select()}}-like syntax, which means unquoted genome names, positional diff --git a/man/position_strand.Rd b/man/position_strand.Rd index 59ba662..ecc3a01 100644 --- a/man/position_strand.Rd +++ b/man/position_strand.Rd @@ -44,6 +44,9 @@ half offset above/below the sequence line.} \item{gap}{If two feats are closer together than this, they will be stacked. Can be negative to allow small overlaps. NA disables stacking.} } +\value{ +A ggproto object to be used in \code{geom_gene()}. +} \description{ \code{position_strand()} offsets forward feats upward and reverse feats downward. \code{position_pile()} stacks overlapping feats upward. \code{position_strandpile()} @@ -58,20 +61,20 @@ p <- gggenomes(emale_genes) \%>\% f0 <- tibble::tibble( seq_id = pull_seqs(p)$seq_id[1], - start = 1:20*1000, + start = 1:20 * 1000, end = start + 2500, - strand = rep(c("+", "-"), length(start)/2) + strand = rep(c("+", "-"), length(start) / 2) ) -sixframe <- function(x, strand) as.character((x\%\%3 + 1) * strand_int(strand)) +sixframe <- function(x, strand) as.character((x \%\% 3 + 1) * strand_int(strand)) p1 <- p + geom_gene() -p2 <- p + geom_gene(aes(fill=strand), position="strand") -p3 <- p + geom_gene(aes(fill=strand), position=position_strand(flip=TRUE, base=0.2)) -p4 <- p + geom_gene(aes(fill=sixframe(x,strand)), position="sixframe") -p5 <- p \%>\% add_feats(f0) + geom_gene() + geom_feat(aes(color=strand)) -p6 <- p \%>\% add_feats(f0) + geom_gene() + geom_feat(aes(color=strand), position="strandpile") -p1 + p2 + p3 + p4 + p5 + p6 + plot_layout(ncol=3, guides="collect") & ylim(2.5,0.5) +p2 <- p + geom_gene(aes(fill = strand), position = "strand") +p3 <- p + geom_gene(aes(fill = strand), position = position_strand(flip = TRUE, base = 0.2)) +p4 <- p + geom_gene(aes(fill = sixframe(x, strand)), position = "sixframe") +p5 <- p \%>\% add_feats(f0) + geom_gene() + geom_feat(aes(color = strand)) +p6 <- p \%>\% add_feats(f0) + geom_gene() + geom_feat(aes(color = strand), position = "strandpile") +p1 + p2 + p3 + p4 + p5 + p6 + plot_layout(ncol = 3, guides = "collect") & ylim(2.5, 0.5) } \keyword{datasets} diff --git a/man/position_variant.Rd b/man/position_variant.Rd index 89aee99..dacd1cf 100644 --- a/man/position_variant.Rd +++ b/man/position_variant.Rd @@ -15,42 +15,47 @@ The user can supply an own vector to \code{offset} to indicate at which offsets \item{base}{How to align the offsets relative to the sequence. At base = 0, plotting of the offsets starts from the sequence. \code{base} thus moves the entire feature up/down.} } +\value{ +A ggproto object to be used in \code{geom_variant()}. +} \description{ \code{position_variant()} allows the user to plot the different mutation types (e.g. del, ins, snps) at different offsets from the base. This can especially be useful to highlight in which regions certain types of mutations have higher prevalence. This position adjustment is most relevant for the analysis/visualization of VCF files with the function \code{geom_variant()}. } \examples{ -# Creation of example data. +# Creation of example data. testposition <- tibble::tibble( -type = c("ins", "snp", "snp", "del", "del", "snp", "snp", "ins", "snp", "ins", "snp"), -start = c(10, 20, 30, 35, 40, 60, 65, 90, 90, 100, 120), -end = start + 1, -seq_id = c(rep("A", 11))) + type = c("ins", "snp", "snp", "del", "del", "snp", "snp", "ins", "snp", "ins", "snp"), + start = c(10, 20, 30, 35, 40, 60, 65, 90, 90, 100, 120), + end = start + 1, + seq_id = c(rep("A", 11)) +) testseq <- tibble::tibble( -seq_id = "A", -start = 0, -end = 150, -length = end-start) + seq_id = "A", + start = 0, + end = 150, + length = end - start +) p <- gggenomes(seqs = testseq, feats = testposition) -#This first plot shows what is being plotted when only geom_variant is called +# This first plot shows what is being plotted when only geom_variant is called p + geom_variant() -#Next lets use position_variant, and change the shape aesthetic by column `type` -p + geom_variant(aes(shape = type), position = position_variant()) +# Next lets use position_variant, and change the shape aesthetic by column `type` +p + geom_variant(aes(shape = type), position = position_variant()) -#Now lets create a plot with different offsets by inserting a self-created vector. +# Now lets create a plot with different offsets by inserting a self-created vector. p + geom_variant( aes(shape = type), - position = position_variant(c(del=0.4, ins =-0.4)) + position = position_variant(c(del = 0.4, ins = -0.4)) ) + scale_shape_variant() -#Changing the base will shift all points up/down relatively from the sequence. +# Changing the base will shift all points up/down relatively from the sequence. p + geom_variant( aes(shape = type), - position=position_variant(base = 0.5) + position = position_variant(base = 0.5) ) + geom_seq() } diff --git a/man/pull_track.Rd b/man/pull_track.Rd index e114b4b..0ec0e2c 100644 --- a/man/pull_track.Rd +++ b/man/pull_track.Rd @@ -76,6 +76,21 @@ seqs table into the bins table.} \item{.x}{A gggenomes or gggenomes_layout object.} } +\value{ +A function that pulls the specified track from a gggenomes object. + +A function that pulls the specified track from a gggenomes object. + +A function that pulls the specified track from a gggenomes object. + +A function that pulls the specified track from a gggenomes object. + +A function that pulls the specified track from a gggenomes object. + +A function that pulls the specified track from a gggenomes object. + +A function that pulls the specified track from a gggenomes object. +} \description{ Track selection works like \code{\link[dplyr:pull]{dplyr::pull()}} and supports unquoted ids and positional arguments. \code{...} can be used to subset the data in @@ -107,20 +122,20 @@ on-the-fly. \examples{ gg <- gggenomes(emale_genes, emale_seqs, emale_tirs, emale_ava) -gg \%>\% track_info() # info about track ids, positions and types +gg \%>\% track_info() # info about track ids, positions and types # get first feat track that isn't "genes" (all equivalent) -gg \%>\% pull_feats() # easiest -gg \%>\% pull_feats(feats) # by id -gg \%>\% pull_feats(1) # by position -gg \%>\% pull_feats(2, .ignore=NULL) # default .ignore="genes" +gg \%>\% pull_feats() # easiest +gg \%>\% pull_feats(feats) # by id +gg \%>\% pull_feats(1) # by position +gg \%>\% pull_feats(2, .ignore = NULL) # default .ignore="genes" # get "seqs" track (always track #1) gg \%>\% pull_seqs() # plot integrated transposons and GC content for some viral genomes -gg <- gggenomes(seqs=emale_seqs, feats=list(emale_ngaros, GC=emale_gc)) +gg <- gggenomes(seqs = emale_seqs, feats = list(emale_ngaros, GC = emale_gc)) gg + geom_seq() + - geom_feat(color="skyblue") + # defaults to data=feats() - geom_line(aes(x, y+score-.6, group=y), data=feats(GC), color="gray60") + geom_feat(color = "skyblue") + # defaults to data=feats() + geom_line(aes(x, y + score - .6, group = y), data = feats(GC), color = "gray60") } diff --git a/man/read_blast.Rd b/man/read_blast.Rd index a7d7793..b432981 100644 --- a/man/read_blast.Rd +++ b/man/read_blast.Rd @@ -44,6 +44,9 @@ on import.} \item{...}{additional parameters, passed to \code{read_tsv}} } +\value{ +a tibble with the BLAST output +} \description{ Read BLAST tab-separated output } diff --git a/man/read_context.Rd b/man/read_context.Rd index fe4659a..fd9c63f 100644 --- a/man/read_context.Rd +++ b/man/read_context.Rd @@ -36,6 +36,9 @@ determination based on format, e.g. \code{parser="read_tsv"}.} \item{...}{additional arguments passed on to the format-specific read function called down the line.} } +\value{ +a tibble with the combined data from all files +} \description{ Powers \code{\link[=read_seqs]{read_seqs()}}, \code{\link[=read_feats]{read_feats()}}, \code{\link[=read_links]{read_links()}} } diff --git a/man/read_seq_len.Rd b/man/read_seq_len.Rd index 7093cf3..1ce2cbe 100644 --- a/man/read_seq_len.Rd +++ b/man/read_seq_len.Rd @@ -62,6 +62,11 @@ set \code{show_col_types = FALSE} or set \code{options(readr.show_col_types = FA \item{...}{additional parameters, passed to \code{read_tsv}} } +\value{ +tibble with sequence information + +tibble with sequence information +} \description{ Read sequence index } diff --git a/man/read_tracks.Rd b/man/read_tracks.Rd index 07bbf16..f17651a 100644 --- a/man/read_tracks.Rd +++ b/man/read_tracks.Rd @@ -51,6 +51,16 @@ columns and remove them from \code{seq_desc}.} } \value{ A gggenomes-compatible sequence, feature or link tibble + +tibble with features + +tibble with features + +tibble with links + +tibble with links + +tibble with sequence information } \description{ Convenience functions to read sequences, features or links from various @@ -102,7 +112,7 @@ read_feats(gbk_phages) } # read sequences from a fasta file. -read_seqs(ex("emales/emales.fna"), parse_desc=FALSE) +read_seqs(ex("emales/emales.fna"), parse_desc = FALSE) # read sequence info from a fasta file with `parse_desc=TRUE` (default). `key=value` # pairs are removed from `seq_desc` and parsed into columns with `key` as name diff --git a/man/require_vars.Rd b/man/require_vars.Rd index f7163c04..8e81861 100644 --- a/man/require_vars.Rd +++ b/man/require_vars.Rd @@ -13,6 +13,9 @@ require_vars(x, vars, warn_only = FALSE) \item{warn_only}{don't die on missing vars} } +\value{ +the original tibble if all vars are present or warning only +} \description{ Require variables in an object } diff --git a/man/scale_color_variant.Rd b/man/scale_color_variant.Rd index 48d969e..6d1aa36 100644 --- a/man/scale_color_variant.Rd +++ b/man/scale_color_variant.Rd @@ -28,6 +28,9 @@ The functions \code{scale_color_variant()} and \code{scale_shape_variant()} have \item{characters}{When \code{TRUE}, it changes the default shapes of \code{scale_shape_variant()} to become the letters of the nucleotides.} } +\value{ +A ggplot2 scale object for color or shape. +} \description{ The user can call upon an convenient function called \code{scale_color_variant}, which changes the color of (SNP) points, based on their nucleotides (A, C, G, T). @@ -41,69 +44,73 @@ By default, SNPs are diamond shaped, Deletions triangle downwards and Insertions \emph{(User should still manually call which column is used for the shape aesthetic)} } \examples{ -# Creation of example data. +# Creation of example data. testposition <- tibble::tibble( -type = c("Insertion", "SNP", "SNP", "Deletion", - "Deletion", "SNP", "SNP", "Insertion", "SNP", "Insertion", "SNP"), -start = c(10, 20, 30, 35, 40, 60, 65, 90, 90, 100, 120), -ALT = c("AT", "G", "C", ".", ".", "T", "C", "CAT", "G", "TC", "A"), -REF = c("A", "T", "G", "A", "A", "G", "A", "C", "A", "T", "G"), -end = start + 1, -seq_id = c(rep("A", 11))) + type = c( + "Insertion", "SNP", "SNP", "Deletion", + "Deletion", "SNP", "SNP", "Insertion", "SNP", "Insertion", "SNP" + ), + start = c(10, 20, 30, 35, 40, 60, 65, 90, 90, 100, 120), + ALT = c("AT", "G", "C", ".", ".", "T", "C", "CAT", "G", "TC", "A"), + REF = c("A", "T", "G", "A", "A", "G", "A", "C", "A", "T", "G"), + end = start + 1, + seq_id = c(rep("A", 11)) +) testseq <- tibble::tibble( -seq_id = "A", -start = 0, -end = 150, -length = end-start) + seq_id = "A", + start = 0, + end = 150, + length = end - start +) -p1 <- gggenomes(seqs=testseq, feats=testposition) +p1 <- gggenomes(seqs = testseq, feats = testposition) p2 <- p1 + geom_seq() ## Scale_color_variant() # Changing the color aesthetics in geom_variant: colors all mutations # (In this example, All ALT (alternative) nucleotides are being colored) -p1 + geom_variant(aes(color=ALT)) +p1 + geom_variant(aes(color = ALT)) # Color all SNPs with default colors using scale_color_variant(). -#(SNPs are 1 nucleotide long, other mutations such as Insertions -#and Deletions have either more ore less nucleotides within the -#ALT column and are thus not plotted) -p1 + geom_variant(aes(color=ALT)) + -scale_color_variant() +# (SNPs are 1 nucleotide long, other mutations such as Insertions +# and Deletions have either more ore less nucleotides within the +# ALT column and are thus not plotted) +p1 + geom_variant(aes(color = ALT)) + + scale_color_variant() # Manually changing colors with scale_color_variant() -p1 + geom_variant(aes(color=ALT)) + -scale_color_variant(values = c(A="purple", T="darkred", TC="black", AT="pink")) +p1 + geom_variant(aes(color = ALT)) + + scale_color_variant(values = c(A = "purple", T = "darkred", TC = "black", AT = "pink")) ## Scale_shape_variant() # Changing the `shape` aesthetics in geom_variant -p2 + geom_variant(aes(shape=type), offset = -0.1) +p2 + geom_variant(aes(shape = type), offset = -0.1) # Calling upon scale_shape_variant() to change shapes -p2 + geom_variant(aes(shape=type), offset = -0.1) + -scale_shape_variant() +p2 + geom_variant(aes(shape = type), offset = -0.1) + + scale_shape_variant() # Manually changing shapes with scale_shape_variant() -p2 + geom_variant(aes(shape=type), offset = -0.1) + -scale_shape_variant(values=c(SNP=14, Deletion=18, Insertion=21)) +p2 + geom_variant(aes(shape = type), offset = -0.1) + + scale_shape_variant(values = c(SNP = 14, Deletion = 18, Insertion = 21)) # Plotting (nucleotides) characters instead of shapes -p2 + geom_variant(aes(shape=ALT), offset = -0.1, size=3)+ -scale_shape_variant(characters=TRUE) +p2 + geom_variant(aes(shape = ALT), offset = -0.1, size = 3) + + scale_shape_variant(characters = TRUE) # Alternative way to plot nucleotides (of ALT) by using `geom=text` within `geom_variant()` - gggenomes(seqs=testseq, feats=testposition) + - geom_seq() + - geom_variant(aes(shape=type), offset=-0.1) + - scale_shape_variant() + - geom_variant(aes(label=ALT), geom="text", offset=-0.25) + - geom_bin_label() +gggenomes(seqs = testseq, feats = testposition) + + geom_seq() + + geom_variant(aes(shape = type), offset = -0.1) + + scale_shape_variant() + + geom_variant(aes(label = ALT), geom = "text", offset = -0.25) + + geom_bin_label() # Combining scale_color_variant() and scale_shape_variant() -p2 + geom_variant(aes(shape=ALT, color = ALT), offset = -0.1, size = 3, show.legend=FALSE) + -geom_variant(aes(color=ALT)) + -scale_color_variant(na.value = "black") + -scale_shape_variant(characters=TRUE) +p2 + geom_variant(aes(shape = ALT, color = ALT), offset = -0.1, size = 3, show.legend = FALSE) + + geom_variant(aes(color = ALT)) + + scale_color_variant(na.value = "black") + + scale_shape_variant(characters = TRUE) } diff --git a/man/scale_x_bp.Rd b/man/scale_x_bp.Rd index 358016e..270d854 100644 --- a/man/scale_x_bp.Rd +++ b/man/scale_x_bp.Rd @@ -23,6 +23,11 @@ difference between adjacent values. Applied to rescaled data.} } +\value{ +A ggplot2 scale object with bp labels + +A labeller function for genomic data +} \description{ \code{scale_x_bp()} is the default scale for genomic x-axis. It wraps \code{\link[ggplot2:scale_continuous]{ggplot2::scale_x_continuous()}} using \code{label_bp()} as default labeller. @@ -33,7 +38,7 @@ gggenomes(emale_genes) + geom_gene() # customize labels gggenomes(emale_genes) + geom_gene() + - scale_x_bp(suffix="bp", sep=" ") + scale_x_bp(suffix = "bp", sep = " ") # Note: xlim will overwrite scale_x_bp() with ggplot2::scale_x_continuous() gggenomes(emale_genes) + geom_gene() + @@ -41,5 +46,5 @@ gggenomes(emale_genes) + geom_gene() + # set limits explicitly with scale_x_bp() to avoid overwrite gggenomes(emale_genes) + geom_gene() + - scale_x_bp(limits=c(0, 3e4)) + scale_x_bp(limits = c(0, 3e4)) } diff --git a/man/shift.Rd b/man/shift.Rd index 1523fd7..9a35a56 100644 --- a/man/shift.Rd +++ b/man/shift.Rd @@ -16,25 +16,28 @@ same length as bins.} \item{center}{horizontal centering} } +\value{ +gggenomes object with shifted seqs +} \description{ Shift bins along the x-axis, i.e. left or right in the default plot layout. This is useful to align feats of interest in different bins. } \examples{ p0 <- gggenomes(emale_genes, emale_seqs) + -geom_seq() + geom_gene() + geom_seq() + geom_gene() # Slide one bin left and one bin right -p1 <- p0 |> shift(2:3, by=c(-8000, 10000)) +p1 <- p0 |> shift(2:3, by = c(-8000, 10000)) # align all bins to a target gene mcp <- emale_genes |> dplyr::filter(name == "MCP") |> dplyr::group_by(seq_id) |> - dplyr::slice_head(n=1) # some have fragmented MCP gene, keep only first + dplyr::slice_head(n = 1) # some have fragmented MCP gene, keep only first -p2 <- p0 |> shift(all_of(mcp$seq_id), by= -mcp$start) + - geom_gene(data=genes(name=="MCP"), fill="#01b9af") +p2 <- p0 |> shift(all_of(mcp$seq_id), by = -mcp$start) + + geom_gene(data = genes(name == "MCP"), fill = "#01b9af") library(patchwork) p0 + p1 + p2 diff --git a/man/split_by.Rd b/man/split_by.Rd index 8738f9f..b44539a 100644 --- a/man/split_by.Rd +++ b/man/split_by.Rd @@ -9,13 +9,16 @@ split_by(.data, key) \arguments{ \item{key}{variable to split by} } +\value{ +a list of tibbles +} \description{ Split by key column while preserving order according to the first occurence. R base split converts keys to factors, changing default order to alphanumeric. } \examples{ -tibble::tibble(x=c(1,1,1,2), y=c("B", "A", "B", "B"), z="foo") \%>\% +tibble::tibble(x = c(1, 1, 1, 2), y = c("B", "A", "B", "B"), z = "foo") \%>\% split_by(x) } \keyword{internal} diff --git a/man/swap_if.Rd b/man/swap_if.Rd index 3206cda..c1ad44c 100644 --- a/man/swap_if.Rd +++ b/man/swap_if.Rd @@ -15,11 +15,14 @@ TRUE/FALSE vector} \item{...}{the two columns bewteen which values are to be swapped in dplyr::select-like syntax} } +\value{ +a tibble with conditionally swapped start and end +} \description{ Swap values of two columns based on a condition } \examples{ -x <- tibble::tibble(start = c(10,100), end=c(30, 50)) +x <- tibble::tibble(start = c(10, 100), end = c(30, 50)) # ensure start of a range is always smaller than the end swap_if(x, start > end, start, end) } diff --git a/man/synteny_to_link.Rd b/man/synteny_to_link.Rd deleted file mode 100644 index 71d493a..0000000 --- a/man/synteny_to_link.Rd +++ /dev/null @@ -1,17 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/synteny_to_link.R -\name{synteny_to_link} -\alias{synteny_to_link} -\title{Format synteny-class into wide tibble This is for use with gggenomes} -\usage{ -synteny_to_link(synteny_obj) -} -\arguments{ -\item{synteny_obj}{A object produced by DECIPHER::FindSynteny} -} -\description{ -Format synteny-class into wide tibble This is for use with gggenomes -} -\details{ -This function takes a object of class synteny and converts it into a data.frame containing all synteny pairs -} diff --git a/man/theme_gggenomes_clean.Rd b/man/theme_gggenomes_clean.Rd index 5b8f835..439b2f6 100644 --- a/man/theme_gggenomes_clean.Rd +++ b/man/theme_gggenomes_clean.Rd @@ -20,6 +20,9 @@ theme_gggenomes_clean( \item{base_rect_size}{base size for rect elements} } +\value{ +ggplot2 theme with gggenomes defaults +} \description{ gggenomes default theme } diff --git a/man/track_info.Rd b/man/track_info.Rd index 8c1a7f3..c123226 100644 --- a/man/track_info.Rd +++ b/man/track_info.Rd @@ -31,7 +31,8 @@ The short tibble contains basic information on the tracks within the entered ggg \examples{ gggenomes( seqs = emale_seqs, - feats= list(emale_genes, emale_tirs, emale_ngaros), - links = emale_ava) |> -track_info() + feats = list(emale_genes, emale_tirs, emale_ngaros), + links = emale_ava +) |> + track_info() } diff --git a/man/track_nrows.Rd b/man/track_nrows.Rd deleted file mode 100644 index da074e4..0000000 --- a/man/track_nrows.Rd +++ /dev/null @@ -1,19 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/tracks.R -\name{track_nrows} -\alias{track_nrows} -\title{Number of rows of all tracks tables} -\usage{ -track_nrows(x, track_type = c("seqs", "feats", "links")) -} -\arguments{ -\item{x}{A gggenomes or gggenomes_layout object} - -\item{track_type}{restrict to any combination of "seqs", "feats" and "links".} -} -\value{ -a vector of number of rows all selected tracks tables -} -\description{ -Number of rows of all tracks tables -} diff --git a/man/track_type.Rd b/man/track_type.Rd deleted file mode 100644 index 47a9c45..0000000 --- a/man/track_type.Rd +++ /dev/null @@ -1,19 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/tracks.R -\name{track_type} -\alias{track_type} -\title{Track type by track id} -\usage{ -track_type(x, track_id) -} -\arguments{ -\item{x}{A gggenomes or gggenomes_layout object} - -\item{track_id}{id for which to get the track type} -} -\value{ -a character string with the track type -} -\description{ -Track type by track id -} diff --git a/man/track_types.Rd b/man/track_types.Rd deleted file mode 100644 index 64d69cc..0000000 --- a/man/track_types.Rd +++ /dev/null @@ -1,19 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/tracks.R -\name{track_types} -\alias{track_types} -\title{All types of all tracks} -\usage{ -track_types(x, track_type = c("seqs", "feats", "links")) -} -\arguments{ -\item{x}{A gggenomes or gggenomes_layout object} - -\item{track_type}{restrict to any combination of "seqs", "feats" and "links".} -} -\value{ -a vector of all types of all selected tracks -} -\description{ -All types of all tracks -} diff --git a/man/unnest_exons.Rd b/man/unnest_exons.Rd index ec26da5..04e9234 100644 --- a/man/unnest_exons.Rd +++ b/man/unnest_exons.Rd @@ -9,6 +9,9 @@ unnest_exons(x) \arguments{ \item{x}{data} } +\value{ +data with unnested exons +} \description{ Unnest exons } diff --git a/man/vars_track_error.Rd b/man/vars_track_error.Rd deleted file mode 100644 index e2f00a3..0000000 --- a/man/vars_track_error.Rd +++ /dev/null @@ -1,12 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/pull_tracks.R -\name{vars_track_error} -\alias{vars_track_error} -\title{Error messages for vars_track} -\usage{ -vars_track_error(bad_value, track_ids, ignore) -} -\description{ -Error messages for vars_track -} -\keyword{internal} diff --git a/man/write_gff3.Rd b/man/write_gff3.Rd index 1878a5c..e894c9c 100644 --- a/man/write_gff3.Rd +++ b/man/write_gff3.Rd @@ -46,6 +46,9 @@ directives in the header} \item{ignore_attr}{attributes not to be included in GFF3 tag list. Defaults to internals: \verb{introns, geom_id}} } +\value{ +No return value, writes to file +} \description{ Write a gff3 file from a tidy table } diff --git a/man/x.Rd b/man/x.Rd deleted file mode 100644 index 0473428..0000000 --- a/man/x.Rd +++ /dev/null @@ -1,12 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/coords.R -\name{x} -\alias{x} -\title{Project feat coordinates into layout space} -\usage{ -x(start, end, strand, seq_x, seq_start, seq_strand) -} -\description{ -space -} -\keyword{internal} From bfe920f998fcd517754f8f27a376e8692ab65ad9 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Tue, 25 Jun 2024 14:26:15 +0200 Subject: [PATCH 23/25] Apply auto-formatting --- R/add_tracks.R | 2 +- R/aes.R | 19 +++---- R/clusters.R | 62 +++++++++++---------- R/flip.R | 130 +++++++++++++++++++++++++-------------------- R/geom_wiggle.R | 38 ++++++------- R/global.R | 26 +++++---- R/layout.R | 40 ++++++++------ R/read_alitv.R | 51 ++++++++++-------- R/read_bed.R | 8 +-- R/read_gbk.R | 25 +++++---- R/read_paf.R | 54 ++++++++++--------- R/set_class.R | 20 +++---- R/subfeats.R | 86 +++++++++++++++++------------- R/sublinks.R | 124 ++++++++++++++++++++++++------------------ man/add_tracks.Rd | 15 +++--- man/flip.Rd | 32 ++++++----- man/geom_wiggle.Rd | 20 +++---- man/read_alitv.Rd | 16 +++--- 18 files changed, 432 insertions(+), 336 deletions(-) diff --git a/R/add_tracks.R b/R/add_tracks.R index ae611d8..2860688 100644 --- a/R/add_tracks.R +++ b/R/add_tracks.R @@ -1,5 +1,5 @@ #' Add different types of tracks -#' +#' #' @name add_tracks #' @param x object to add the tracks to (e.g. gggenomes, gggenomes_layout) #' @param ... named data.frames, i.e. genes=gene_df, snps=snp_df diff --git a/R/aes.R b/R/aes.R index bccb04d..bf693f3 100644 --- a/R/aes.R +++ b/R/aes.R @@ -1,23 +1,24 @@ # thomasp85/ggraph https://github.com/thomasp85/ggraph/blob/master/R/aaa.R aes_intersect <- function(aes1, aes2) { - structure( - c(as.list(aes1), aes2[!names(aes2) %in% names(aes1)]), - class = 'uneval' - ) + structure( + c(as.list(aes1), aes2[!names(aes2) %in% names(aes1)]), + class = "uneval" + ) } -aes_nudge_by_strand <- function(mapping, nudge_by_strand, keys = c("y", "yend")){ - if(is.null(nudge_by_strand)) +aes_nudge_by_strand <- function(mapping, nudge_by_strand, keys = c("y", "yend")) { + if (is.null(nudge_by_strand)) { return(mapping) + } # modify y/yend aes is_integer(nudge_by_strand) || is_double(nudge_by_strand) || stop("nudge_by_strand needs to be numeric") - for(k in keys){ - if(is.null(mapping[[k]])) stop("'", k, "' not defined, cannot modify") + for (k in keys) { + if (is.null(mapping[[k]])) stop("'", k, "' not defined, cannot modify") - mapping[[k]] <- rlang::parse_expr(paste0(rlang::quo_text(mapping[[k]]),'+ display_strand * ',-nudge_by_strand)) + mapping[[k]] <- rlang::parse_expr(paste0(rlang::quo_text(mapping[[k]]), "+ display_strand * ", -nudge_by_strand)) } mapping } diff --git a/R/clusters.R b/R/clusters.R index a261c9d..a0487a4 100644 --- a/R/clusters.R +++ b/R/clusters.R @@ -10,47 +10,50 @@ #' # add clusters #' gggenomes(emale_genes, emale_seqs) %>% #' add_clusters(emale_cogs) %>% -#' sync() + # works because clusters -#' geom_link() + # become links +#' sync() + # works because clusters +#' geom_link() + # become links #' geom_seq() + #' # works because cluster info is joined to gene track -#' geom_gene(aes(fill=ifelse(is.na(cluster_id), NA, -#' stringr::str_glue("{cluster_id} [{cluster_size}]")))) + +#' geom_gene(aes(fill = ifelse(is.na(cluster_id), NA, +#' stringr::str_glue("{cluster_id} [{cluster_size}]") +#' ))) + #' scale_fill_discrete("COGs") -#' -add_clusters <- function(x, ..., .track_id = "genes"){ +#' +add_clusters <- function(x, ..., .track_id = "genes") { UseMethod("add_clusters") } #' @export -add_clusters.gggenomes <- function(x, ..., .track_id = "genes"){ +add_clusters.gggenomes <- function(x, ..., .track_id = "genes") { x$data <- add_clusters(x$data, ..., .track_id = {{ .track_id }}) x } #' @importFrom rlang .data #' @export -add_clusters.gggenomes_layout <- function(x, ..., .track_id = "genes"){ - if(!has_dots()){ +add_clusters.gggenomes_layout <- function(x, ..., .track_id = "genes") { + if (!has_dots()) { warn("No clusters data provided - check your arguments") return(x) } - pid <- tidyselect::vars_pull(track_ids(x), {{.track_id}}) + pid <- tidyselect::vars_pull(track_ids(x), {{ .track_id }}) dot_exprs <- enexprs(...) # defuse before list(...) tracks <- as_tracks(list(...), dot_exprs, track_ids(x)) - tracks <- purrr::map(tracks, function(track){ + tracks <- purrr::map(tracks, function(track) { require_vars(track, c("feat_id", "cluster_id")) track <- dplyr::filter(track, .data$feat_id %in% x$feats[[pid]]$feat_id) - if(nrow(track) < 1){ - warn(str_glue("No matches between clusters and parent track based on ", - "`track_id`. Check your IDs and arguments")) + if (nrow(track) < 1) { + warn(str_glue( + "No matches between clusters and parent track based on ", + "`track_id`. Check your IDs and arguments" + )) return(x) } - if(any(duplicated(track$feat_id))){ + if (any(duplicated(track$feat_id))) { dup_ids <- track$feat_id[duplicated(track$feat_id)][1:5] abort(c("Duplicated `feat_id`s not allowed:", str_glue("{dup_ids}"))) } @@ -60,30 +63,33 @@ add_clusters.gggenomes_layout <- function(x, ..., .track_id = "genes"){ sublinks <- purrr::map(tracks, cluster2sublinks, x$feats[[pid]]) %>% purrr::compact() # can be empty tibble of all clusters were singletons - if(length(sublinks) < length(tracks)){ + if (length(sublinks) < length(tracks)) { warn("At least one cluster table had only singletons, so no links were produced") } - if(length(sublinks)){ - x <- add_sublink_tracks(x, {{.track_id}}, sublinks, transform="none") + if (length(sublinks)) { + x <- add_sublink_tracks(x, {{ .track_id }}, sublinks, transform = "none") } # this is just q&d - only adds the ids of the first cluster track. Not sure, # how to handle adding multiple ones - if(length(tracks) > 1){ - warn(str_glue("If adding multiple cluster tables, all are added as ", - "individual link tracks, but only the first table is joined with the ", - "parent feat table")) + if (length(tracks) > 1) { + warn(str_glue( + "If adding multiple cluster tables, all are added as ", + "individual link tracks, but only the first table is joined with the ", + "parent feat table" + )) } x$feats[[pid]] <- left_join(x$feats[[pid]], tracks[[1]]) x } -cluster2sublinks <- function(x, parent_track){ - x %>% split_by(.data$cluster_id) %>% - purrr::keep(~nrow(.) > 1) %>% # links need >2 members, ignore singletons - purrr::map_df(.id = "cluster_id", function(g){ - mat <- utils::combn(g$feat_id, 2, simplify=TRUE) - tibble(feat_id = mat[1,], feat_id2 = mat[2,]) +cluster2sublinks <- function(x, parent_track) { + x %>% + split_by(.data$cluster_id) %>% + purrr::keep(~ nrow(.) > 1) %>% # links need >2 members, ignore singletons + purrr::map_df(.id = "cluster_id", function(g) { + mat <- utils::combn(g$feat_id, 2, simplify = TRUE) + tibble(feat_id = mat[1, ], feat_id2 = mat[2, ]) }) } diff --git a/R/flip.R b/R/flip.R index 5b2cf68..eef2345 100644 --- a/R/flip.R +++ b/R/flip.R @@ -4,7 +4,7 @@ #' sequences and their features. `sync` automatically flips bins using a #' heuristic that maximizes the amount of forward strand links between #' neighboring bins. -#' +#' #' For more details see the help vignette: #' \code{vignette("flip", package = "gggenomes")} #' @@ -21,136 +21,152 @@ #' #' @examples #' library(patchwork) -#' p <- gggenomes(genes=emale_genes) + -#' geom_seq(aes(color=strand), arrow=TRUE) + -#' geom_link(aes(fill=strand)) + -#' expand_limits(color=c("-")) + -#' labs(caption="not flipped") +#' p <- gggenomes(genes = emale_genes) + +#' geom_seq(aes(color = strand), arrow = TRUE) + +#' geom_link(aes(fill = strand)) + +#' expand_limits(color = c("-")) + +#' labs(caption = "not flipped") #' #' # nothing flipped #' p0 <- p %>% add_links(emale_ava) #' #' # flip manually -#' p1 <- p %>% add_links(emale_ava) %>% -#' flip(4:6) + labs(caption="manually") +#' p1 <- p %>% +#' add_links(emale_ava) %>% +#' flip(4:6) + labs(caption = "manually") #' #' # flip automatically based on genome-genome links -#' p2 <- p %>% add_links(emale_ava) %>% -#' sync() + labs(caption="genome alignments") +#' p2 <- p %>% +#' add_links(emale_ava) %>% +#' sync() + labs(caption = "genome alignments") #' #' # flip automatically based on protein-protein links -#' p3 <- p %>% add_sublinks(emale_prot_ava) %>% -#' sync() + labs(caption="protein alignments") +#' p3 <- p %>% +#' add_sublinks(emale_prot_ava) %>% +#' sync() + labs(caption = "protein alignments") #' #' # flip automatically based on genes linked implicitly by belonging #' # to the same clusters of orthologs (or any grouping of your choice) -#' p4 <- p %>% add_clusters(emale_cogs) %>% -#' sync() + labs(caption="shared orthologs") +#' p4 <- p %>% +#' add_clusters(emale_cogs) %>% +#' sync() + labs(caption = "shared orthologs") #' -#' p0 + p1 + p2 + p3 + p4 + plot_layout(nrow=1, guides="collect") +#' p0 + p1 + p2 + p3 + p4 + plot_layout(nrow = 1, guides = "collect") #' @export -flip <- function(x, ..., .bin_track=seqs){ +flip <- function(x, ..., .bin_track = seqs) { UseMethod("flip") } #' @export -flip.gggenomes <- function(x, ..., .bin_track=seqs){ - x$data <- flip(x$data, ..., .bin_track={{ .bin_track }}) +flip.gggenomes <- function(x, ..., .bin_track = seqs) { + x$data <- flip(x$data, ..., .bin_track = {{ .bin_track }}) x } #' @export -flip.gggenomes_layout <- function(x, ..., .bin_track=seqs){ - if(!has_dots()) return(x) - flip_impl(x, bins=c(...), bin_track={{.bin_track}}) +flip.gggenomes_layout <- function(x, ..., .bin_track = seqs) { + if (!has_dots()) { + return(x) + } + flip_impl(x, bins = c(...), bin_track = {{ .bin_track }}) } #' @rdname flip #' @export -flip_seqs <- function(x, ..., .bins=everything(), .seq_track=seqs, .bin_track=seqs){ +flip_seqs <- function(x, ..., .bins = everything(), .seq_track = seqs, .bin_track = seqs) { UseMethod("flip_seqs") } #' @export -flip_seqs.gggenomes <- function(x, ..., .bins=everything(), .seq_track=seqs, .bin_track=seqs){ - x$data <- flip_seqs(x$data, ..., .bins={{.bins}}, .bin_track={{.bin_track}}, - .seq_track={{.seq_track}}) +flip_seqs.gggenomes <- function(x, ..., .bins = everything(), .seq_track = seqs, .bin_track = seqs) { + x$data <- flip_seqs(x$data, ..., + .bins = {{ .bins }}, .bin_track = {{ .bin_track }}, + .seq_track = {{ .seq_track }} + ) x } #' @export -flip_seqs.gggenomes_layout <- function(x, ..., .bins=everything(), .seq_track=seqs, .bin_track=seqs){ - if(!has_dots()) return(x) - flip_impl(x, bins={{.bins}}, seqs=c(...), bin_track={{.bin_track}}, seq_track={{.seq_track}}) +flip_seqs.gggenomes_layout <- function(x, ..., .bins = everything(), .seq_track = seqs, .bin_track = seqs) { + if (!has_dots()) { + return(x) + } + flip_impl(x, bins = {{ .bins }}, seqs = c(...), bin_track = {{ .bin_track }}, seq_track = {{ .seq_track }}) } #' @rdname flip #' @param link_track the link track to use for flipping bins nicely #' @param min_support only flip a bin if at least this many more nucleotides #' support an inversion over the given orientation #' @export -sync <- function(x, link_track=1, min_support=0){ +sync <- function(x, link_track = 1, min_support = 0) { UseMethod("sync") } #' @export -sync.gggenomes <- function(x, link_track=1, min_support=0){ - x$data <- sync(x$data, link_track={{link_track}}, min_support=min_support) +sync.gggenomes <- function(x, link_track = 1, min_support = 0) { + x$data <- sync(x$data, link_track = {{ link_track }}, min_support = min_support) x } #' @export -sync.gggenomes_layout <- function(x, link_track=1, min_support=0){ - if(length(x$links) < 1) - rlang::abort("Links are required to `sync`") - l0 <- pull_links(x, {{link_track}}) +sync.gggenomes_layout <- function(x, link_track = 1, min_support = 0) { + if (length(x$links) < 1) { + rlang::abort("Links are required to `sync`") + } + l0 <- pull_links(x, {{ link_track }}) s0 <- ungroup(pull_seqs(x)) f0 <- l0 |> - dplyr::left_join(select(s0, .data$seq_id, seq_strand=.data$strand), by = "seq_id") |> - dplyr::left_join(select(s0, seq_id2=.data$seq_id, seq_strand2=.data$strand), by = "seq_id2") |> + dplyr::left_join(select(s0, .data$seq_id, seq_strand = .data$strand), by = "seq_id") |> + dplyr::left_join(select(s0, seq_id2 = .data$seq_id, seq_strand2 = .data$strand), by = "seq_id2") |> dplyr::mutate( - bin_id = ifelse(.data$y<.data$yend, .data$bin_id, .data$bin_id2), # chose the lower bin id - bin_id2 = ifelse(.data$y<.data$yend, .data$bin_id2, .data$bin_id), # chose the lower bin id - y = (.data$y+.data$yend)/2, # use mean y for sort + bin_id = ifelse(.data$y < .data$yend, .data$bin_id, .data$bin_id2), # chose the lower bin id + bin_id2 = ifelse(.data$y < .data$yend, .data$bin_id2, .data$bin_id), # chose the lower bin id + y = (.data$y + .data$yend) / 2, # use mean y for sort support = link_width(.data$start, .data$end, .data$start2, .data$end2) * - strand_int(combine_strands(.data$strand, .data$seq_strand, .data$seq_strand2))) |> + strand_int(combine_strands(.data$strand, .data$seq_strand, .data$seq_strand2)) + ) |> dplyr::group_by(.data$bin_id, .data$y) |> dplyr::summarize(support = sum(.data$support)) |> dplyr::ungroup() |> dplyr::filter(abs(.data$support) >= min_support) |> dplyr::arrange(-.data$y) |> - dplyr::mutate(needs_flip=cumprod(strand_int(.data$support >= 0)) < 0) + dplyr::mutate(needs_flip = cumprod(strand_int(.data$support >= 0)) < 0) - bins_to_flip <- f0 |> dplyr::filter(.data$needs_flip) |> dplyr::pull(.data$bin_id) + bins_to_flip <- f0 |> + dplyr::filter(.data$needs_flip) |> + dplyr::pull(.data$bin_id) - if(!length(bins_to_flip)){ - inform(str_glue("All bins appear to be flipped nicely based on the given", - "links. Maybe change `min_coverage` or flip manually")) + if (!length(bins_to_flip)) { + inform(str_glue( + "All bins appear to be flipped nicely based on the given", + "links. Maybe change `min_coverage` or flip manually" + )) return(x) - }else{ + } else { inform(paste("Flipping:", comma(bins_to_flip))) } x %>% flip(all_of(bins_to_flip)) } -flip_impl <- function(x, bins=everything(), seqs=NULL, bin_track=seqs, seq_track=seqs){ +flip_impl <- function(x, bins = everything(), seqs = NULL, bin_track = seqs, seq_track = seqs) { # split by bin_id and select bins seq_tbl <- pull_seqs(x) seq_lst <- split_by(seq_tbl, .data$bin_id) # in case we want to compute selections based on a track other than seqs - bin_sel_lst <- split_by(pull_track(x, {{bin_track}}), .data$bin_id) + bin_sel_lst <- split_by(pull_track(x, {{ bin_track }}), .data$bin_id) bin_i <- tidyselect::eval_select(expr({{ bins }}), bin_sel_lst) - if(length(bin_i) == 0) rlang::abort("no bins selected") + if (length(bin_i) == 0) rlang::abort("no bins selected") # select bins to operate on flip_tbl <- bind_rows(seq_lst[names(bin_i)]) # flip seqs in bins seqs <- enquo(seqs) - if(!quo_is_null(seqs)){ - seq_sel_lst <- split_by(pull_track(x, {{seq_track}}), .data$seq_id) + if (!quo_is_null(seqs)) { + seq_sel_lst <- split_by(pull_track(x, {{ seq_track }}), .data$seq_id) seq_sel_lst <- seq_sel_lst[names(seq_sel_lst) %in% flip_tbl$seq_id] - seq_i <- tidyselect::eval_select(expr(!! seqs ), seq_sel_lst) + seq_i <- tidyselect::eval_select(expr(!!seqs), seq_sel_lst) seq_i <- flip_tbl$seq_id %in% names(seq_i) flip_tbl$strand[seq_i] <- flip_strand(flip_tbl$strand[seq_i]) # flip entire bins - }else{ + } else { flip_tbl %<>% dplyr::group_by(.data$bin_id) %>% dplyr::mutate(strand = flip_strand(.data$strand)) %>% - dplyr::arrange(-row_number(), .by_group=TRUE) + dplyr::arrange(-row_number(), .by_group = TRUE) } # splice modified bins back into rest @@ -162,6 +178,6 @@ flip_impl <- function(x, bins=everything(), seqs=NULL, bin_track=seqs, seq_track layout(x) } -link_width <- function(start, end, start2, end2){ - (width(start,end) + width(start2, end2))/2 +link_width <- function(start, end, start2, end2) { + (width(start, end) + width(start2, end2)) / 2 } diff --git a/R/geom_wiggle.R b/R/geom_wiggle.R index 1323dd7..43e46fb 100644 --- a/R/geom_wiggle.R +++ b/R/geom_wiggle.R @@ -14,37 +14,38 @@ #' @export #' @examples #' # Plot varying GC-content along sequences as ribbon -#' gggenomes(seqs=emale_seqs, feats=emale_gc) + -#' geom_wiggle(aes(z=score)) + +#' gggenomes(seqs = emale_seqs, feats = emale_gc) + +#' geom_wiggle(aes(z = score)) + #' geom_seq() #' #' # customize color and position -#' gggenomes(genes=emale_genes, seqs=emale_seqs, feats=emale_gc) + -#' geom_wiggle(aes(z=score), fill="lavenderblush3", offset=-.3, height=.5) + +#' gggenomes(genes = emale_genes, seqs = emale_seqs, feats = emale_gc) + +#' geom_wiggle(aes(z = score), fill = "lavenderblush3", offset = -.3, height = .5) + #' geom_seq() + geom_gene() #' #' # GC-content as line and with variable color -#' gggenomes(seqs=emale_seqs, feats=emale_gc) + -#' geom_wiggle(aes(z=score, color=score), geom="line", bounds=c(.5,0,1)) + +#' gggenomes(seqs = emale_seqs, feats = emale_gc) + +#' geom_wiggle(aes(z = score, color = score), geom = "line", bounds = c(.5, 0, 1)) + #' geom_seq() + -#' scale_colour_viridis_b(option="A") +#' scale_colour_viridis_b(option = "A") #' #' # or as lineranges -#' gggenomes(seqs=emale_seqs, feats=emale_gc) + -#' geom_wiggle(aes(z=score, color=score), geom="linerange") + +#' gggenomes(seqs = emale_seqs, feats = emale_gc) + +#' geom_wiggle(aes(z = score, color = score), geom = "linerange") + #' geom_seq() + -#' scale_colour_viridis_b(option="A") -geom_wiggle <- function(mapping = NULL, data = feats(), stat="wiggle", - geom="ribbon", position = "identity", na.rm = FALSE, show.legend = NA, +#' scale_colour_viridis_b(option = "A") +geom_wiggle <- function( + mapping = NULL, data = feats(), stat = "wiggle", + geom = "ribbon", position = "identity", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, offset = 0, height = .8, bounds = Hmisc::smedian.hilow, ...) { - default_aes <- aes(x=(.data$x+.data$xend)/2, y=.data$y, group=.data$seq_id) + default_aes <- aes(x = (.data$x + .data$xend) / 2, y = .data$y, group = .data$seq_id) mapping <- aes_intersect(mapping, default_aes) layer( geom = geom, mapping = mapping, data = data, stat = stat, position = position, show.legend = show.legend, inherit.aes = inherit.aes, - params = list(na.rm = na.rm, offset=offset, height=height, bounds=bounds, ...) + params = list(na.rm = na.rm, offset = offset, height = height, bounds = bounds, ...) ) } @@ -52,18 +53,19 @@ StatWiggle <- ggproto("StatWiggle", Stat, setup_params = function(data, params) { # make sure this is a function even if a vector was supplied bf <- as_bounds(params$bounds) - if (environmentName(environment(bf)) == "Hmisc" && !requireNamespace("Hmisc", quietly=TRUE)) + if (environmentName(environment(bf)) == "Hmisc" && !requireNamespace("Hmisc", quietly = TRUE)) { abort("Hmisc package required for default wiggle bounds. Overwrite with custom bounds or bounds-function") + } bs <- bf(data$z) - if(length(bs) != 3) abort("Bounds need to return exactly three numbers: mid, low, high") + if (length(bs) != 3) abort("Bounds need to return exactly three numbers: mid, low, high") inform(c("wiggle bounds", paste(c("mid: ", "low: ", "high:"), unname(bs)))) params$rescale <- params$height / diff(bs[2:3]) params$mid <- bs[1] * params$rescale params }, - compute_group = function(data, scales,height=NA, bounds=NA, offset=0, mid=NA, rescale=NA){ + compute_group = function(data, scales, height = NA, bounds = NA, offset = 0, mid = NA, rescale = NA) { data$ymin <- data$y + offset data$y <- data$z * rescale - mid + data$ymin data$ymax <- data$y @@ -78,6 +80,6 @@ as_bounds <- function(.f, ...) { #' @export as_bounds.default <- purrr__as_mapper.default #' @export -as_bounds.numeric <- function(.f, ...){ +as_bounds.numeric <- function(.f, ...) { function(...) .f } diff --git a/R/global.R b/R/global.R index 3bb7079..716c3d3 100644 --- a/R/global.R +++ b/R/global.R @@ -1,7 +1,7 @@ # Environment that holds various global variables and settings for gggenomes, # such as known file formats. It is not exported and should not be directly # manipulated by other packages. -gggenomes_global <- new.env(parent = emptyenv()) +gggenomes_global <- new.env(parent = emptyenv()) # Mapping of file formats, extensions, contexts, and parsers # @@ -11,13 +11,13 @@ gggenomes_global <- new.env(parent = emptyenv()) # the specific context gggenomes_global$def_formats <- tibble::tribble( ~format, ~ext, ~context, ~parser, - "ambigious", qc(txt,tsv,csv), NA, "read_ambigious", - "fasta", qc(fa,fas,fasta,ffn,fna,faa), qc(seqs), qc(read_seq_len), + "ambigious", qc(txt, tsv, csv), NA, "read_ambigious", + "fasta", qc(fa, fas, fasta, ffn, fna, faa), qc(seqs), qc(read_seq_len), "fai", qc(fai), qc(seqs), qc(read_fai), - "gff3", qc(gff,gff3,gff2,gtf), qc(feats, seqs), qc(read_gff3, read_seq_len), - "gbk", qc(gbk,gb,gbff,gpff), qc(feats, seqs), qc(read_gbk, read_seq_len), + "gff3", qc(gff, gff3, gff2, gtf), qc(feats, seqs), qc(read_gff3, read_seq_len), + "gbk", qc(gbk, gb, gbff, gpff), qc(feats, seqs), qc(read_gbk, read_seq_len), "bed", qc(bed), "feats", "read_bed", - "blast", qc(m8,o6,o7), qc(feats, links), qc(read_blast, read_blast), + "blast", qc(m8, o6, o7), qc(feats, links), qc(read_blast, read_blast), "paf", qc(paf), qc(feats, links), qc(read_paf, read_paf), "alitv", qc(json), qc(feats, seqs, links), qc(read_alitv_genes, read_alitv_seqs, read_alitv_links), @@ -27,10 +27,14 @@ gggenomes_global$def_formats <- tibble::tribble( # Default column names for different formats gggenomes_global$def_names <- list( gff3 = qc(seq_id, source, type, start, end, score, strand, phase, attributes), - paf = qc(seq_id, length, start, end, strand, seq_id2, length2, start2, end2, - map_match, map_length, map_quality), - blast = qc(seq_id, seq_id2, pident, length, mismatch, gapopen, start, end, - start2, end2, evalue, bitscore), + paf = qc( + seq_id, length, start, end, strand, seq_id2, length2, start2, end2, + map_match, map_length, map_quality + ), + blast = qc( + seq_id, seq_id2, pident, length, mismatch, gapopen, start, end, + start2, end2, evalue, bitscore + ), bed = qc(seq_id, start, end, name, score, strand), fai = qc(seq_id, seq_desc, length), seq_len = qc(seq_id, seq_desc, length), @@ -39,7 +43,7 @@ gggenomes_global$def_names <- list( gggenomes_global$def_types <- list( gff3 = "ccciicccc", - paf = "ciiicciiiiid", + paf = "ciiicciiiiid", blast = "ccdiiiiiiidd", bed = "ciicdc", fai = "ci---", diff --git a/R/layout.R b/R/layout.R index 4a6cec5..feb30f9 100644 --- a/R/layout.R +++ b/R/layout.R @@ -4,28 +4,36 @@ #' @param x layout #' @param ... additional data #' @export -layout <- function(x, ...){ - UseMethod("layout") +layout <- function(x, ...) { + UseMethod("layout") } #' @export -layout.gggenomes <- function(x, ignore_seqs=FALSE, ...){ +layout.gggenomes <- function(x, ignore_seqs = FALSE, ...) { x$data <- layout(x$data, ...) x } #' @export -layout.gggenomes_layout <- function(x, ignore_seqs=FALSE, args_seqs = list(), - args_feats = list(), args_links = list(), ...){ - if(!ignore_seqs) - x <- set_seqs(x, exec(layout_seqs, get_seqs(x), !!!args_seqs, - !!!x$args_seqs)) - # note: tried this with map, but that somehow messes with !!! - for(i in seq_along(x$feats)) - x$feats[[i]] %<>% exec(layout_feats, ., get_seqs(x), !!!args_feats) - for(i in seq_along(x$links)) - x$links[[i]] <- exec(as_links, x$orig_links[[i]], get_seqs(x), - !!!args_links, !!!x$args_links) +layout.gggenomes_layout <- function( + x, ignore_seqs = FALSE, args_seqs = list(), + args_feats = list(), args_links = list(), ...) { + if (!ignore_seqs) { + x <- set_seqs(x, exec( + layout_seqs, get_seqs(x), !!!args_seqs, + !!!x$args_seqs + )) + } + # note: tried this with map, but that somehow messes with !!! + for (i in seq_along(x$feats)) { + x$feats[[i]] %<>% exec(layout_feats, ., get_seqs(x), !!!args_feats) + } + for (i in seq_along(x$links)) { + x$links[[i]] <- exec( + as_links, x$orig_links[[i]], get_seqs(x), + !!!args_links, !!!x$args_links + ) + } x } @@ -34,6 +42,6 @@ layout.gggenomes_layout <- function(x, ignore_seqs=FALSE, args_seqs = list(), #' @param data layout #' @param ... additional data #' @export -drop_layout <- function(data, ...){ - UseMethod("drop_layout") +drop_layout <- function(data, ...) { + UseMethod("drop_layout") } diff --git a/R/read_alitv.R b/R/read_alitv.R index 4e16409..39b798f 100644 --- a/R/read_alitv.R +++ b/R/read_alitv.R @@ -10,20 +10,22 @@ #' @return list with seqs, genes, and links #' @examples #' ali <- read_alitv("https://alitvteam.github.io/AliTV/d3/data/chloroplasts.json") -#' gggenomes(ali$genes, ali$seqs, links=ali$links) + +#' gggenomes(ali$genes, ali$seqs, links = ali$links) + #' geom_seq() + #' geom_bin_label() + -#' geom_gene(aes(fill=class)) + +#' geom_gene(aes(fill = class)) + #' geom_link() -#' p <- gggenomes(ali$genes, ali$seqs, links=ali$links) + +#' p <- gggenomes(ali$genes, ali$seqs, links = ali$links) + #' geom_seq() + #' geom_bin_label() + -#' geom_gene(aes(color=class)) + -#' geom_link(aes(fill=identity)) + -#' scale_fill_distiller(palette="RdYlGn", direction = 1) -#' p %>% flip_seqs(5) %>% pick_seqs(1,3,2,4,5,6,7,8) -read_alitv <- function(file){ - ali <- jsonlite::fromJSON(file, simplifyDataFrame=TRUE) +#' geom_gene(aes(color = class)) + +#' geom_link(aes(fill = identity)) + +#' scale_fill_distiller(palette = "RdYlGn", direction = 1) +#' p %>% +#' flip_seqs(5) %>% +#' pick_seqs(1, 3, 2, 4, 5, 6, 7, 8) +read_alitv <- function(file) { + ali <- jsonlite::fromJSON(file, simplifyDataFrame = TRUE) seqs <- tibble(seq = ali$data$karyo$chromosome) %>% mutate(seq_id = names(seq)) %>% unnest_wider(seq) %>% @@ -32,22 +34,27 @@ read_alitv <- function(file){ mutate(class = names(.data$feature)) %>% filter(class != "link") %>% unnest(.data$feature) %>% - rename(seq_id=.data$karyo) - links <- tibble(links=ali$data$links) %>% unnest(links) %>% unnest(links) %>% unnest_wider(links) - link_pos <- tibble(link=ali$data$features$link) %>% mutate(id=names(.data$link)) %>% unnest_wider(.data$link) + rename(seq_id = .data$karyo) + links <- tibble(links = ali$data$links) %>% + unnest(links) %>% + unnest(links) %>% + unnest_wider(links) + link_pos <- tibble(link = ali$data$features$link) %>% + mutate(id = names(.data$link)) %>% + unnest_wider(.data$link) links <- links %>% - left_join(link_pos, by=c("source"="id")) %>% - left_join(link_pos, by=c("target"="id")) %>% + left_join(link_pos, by = c("source" = "id")) %>% + left_join(link_pos, by = c("target" = "id")) %>% transmute( - seq_id=.data$karyo.x, - start=.data$start.x, - end=.data$end.x, - seq_id2=.data$karyo.y, - start2=.data$start.y, - end2=.data$end.y, - identity=identity + seq_id = .data$karyo.x, + start = .data$start.x, + end = .data$end.x, + seq_id2 = .data$karyo.y, + start2 = .data$start.y, + end2 = .data$end.y, + identity = identity ) - return(list(seqs=seqs,genes=genes,links=links)) + return(list(seqs = seqs, genes = genes, links = links)) } read_alitv_seqs <- function(...) read_alitv(...)$seqs diff --git a/R/read_bed.R b/R/read_bed.R index d0a518a..4f33452 100644 --- a/R/read_bed.R +++ b/R/read_bed.R @@ -13,14 +13,14 @@ #' @param ... additional parameters, passed to `read_tsv` #' @return tibble #' @export -read_bed <- function (file, col_names = def_names("bed"), - col_types = def_types("bed"), ...){ - +read_bed <- function( + file, col_names = def_names("bed"), + col_types = def_types("bed"), ...) { x <- readr::read_tsv(file, comment = "#", col_names = col_names, col_types = col_types, ...) # bed is 0-based inform("BED files use 0-based coordinate starts - transforming to 1-based") - x[[2]] <- x[[2]] + 1; + x[[2]] <- x[[2]] + 1 x } diff --git a/R/read_gbk.R b/R/read_gbk.R index eaa9977..5fce0c5 100644 --- a/R/read_gbk.R +++ b/R/read_gbk.R @@ -8,26 +8,29 @@ #' @inheritParams read_gff3 #' @export #' @return tibble -read_gbk <- function(file, sources=NULL, types=NULL, infer_cds_parents=TRUE){ +read_gbk <- function(file, sources = NULL, types = NULL, infer_cds_parents = TRUE) { + gb2gff <- base::system.file("exec/gb2gff", package = "gggenomes") - gb2gff <- base::system.file("exec/gb2gff", package="gggenomes") - - if(file_is_zip(file) && file_ext(file, ignore_zip = FALSE) != "gz") + if (file_is_zip(file) && file_ext(file, ignore_zip = FALSE) != "gz") { abort(str_glue("Decompressing for genbank only works with gzipped files, not `{suf}`")) + } - if(file_is_url(file) && file_is_zip(file)){ + if (file_is_url(file) && file_is_zip(file)) { file <- pipe(str_glue("curl {file} | gzip -cd | {gb2gff} -S")) - }else if(file_is_url(file)){ + } else if (file_is_url(file)) { file <- pipe(str_glue("curl {file} | {gb2gff} -S")) - }else if(file_is_zip(file)){ + } else if (file_is_zip(file)) { suf <- file_ext(file, ignore_zip = FALSE) - if(suf != "gz") + if (suf != "gz") { abort(str_glue("Decompressing for genbank only works with gzipped files, not `{suf}`")) + } file <- pipe(str_glue("gzip -cd {file} | {gb2gff} -S")) - }else{ + } else { file <- pipe(str_glue("{gb2gff} -S {file}")) } - read_gff3(file, sources=sources, types=types, - infer_cds_parents=infer_cds_parents) + read_gff3(file, + sources = sources, types = types, + infer_cds_parents = infer_cds_parents + ) } diff --git a/R/read_paf.R b/R/read_paf.R index 9377e4c..c9735ab 100644 --- a/R/read_paf.R +++ b/R/read_paf.R @@ -56,43 +56,43 @@ #' @param ... additional parameters, passed to `read_tsv` #' @export #' @return tibble -read_paf <- function (file, max_tags = 20, col_names = def_names("paf"), - col_types = def_types("paf"), ...){ - - if(max_tags > 0){ +read_paf <- function( + file, max_tags = 20, col_names = def_names("paf"), + col_types = def_types("paf"), ...) { + if (max_tags > 0) { col_names <- c(col_names, paste0("tag_", seq_len(max_tags))) - col_types <- paste0(col_types, paste(rep("?", max_tags), collapse="")) + col_types <- paste0(col_types, paste(rep("?", max_tags), collapse = "")) } readr::read_tsv(file, col_names = col_names, col_types = col_types, ...) %>% - tidy_paf_tags + tidy_paf_tags() } -tidy_paf_tags <- function(.data){ - tag_df <- tibble(.rows=nrow(.data)) +tidy_paf_tags <- function(.data) { + tag_df <- tibble(.rows = nrow(.data)) tag_types <- c() seen_empty_tag_col <- FALSE - for (x in select(.data, starts_with("tag_"))){ - tag_mx <- str_split(x, ":", 3, simplify=T) - tag_mx_nr <- na.omit(unique(tag_mx[,1:2])) - if(nrow(tag_mx_nr) == 0){ + for (x in select(.data, starts_with("tag_"))) { + tag_mx <- str_split(x, ":", 3, simplify = T) + tag_mx_nr <- na.omit(unique(tag_mx[, 1:2])) + if (nrow(tag_mx_nr) == 0) { seen_empty_tag_col <- TRUE - break; # empty col -> seen all tags + break # empty col -> seen all tags } - tags <- tag_mx_nr[,1] - tag_type <- tag_mx_nr[,2] + tags <- tag_mx_nr[, 1] + tag_type <- tag_mx_nr[, 2] names(tag_type) <- tags # add to global tag_type vec tag_types <- c(tag_types, tag_type) tag_types <- tag_types[unique(names(tag_types))] # sort tag values into tidy tag tibble - for (tag in tags){ - if(!has_name(tag_df, tag)){ # init tag + for (tag in tags) { + if (!has_name(tag_df, tag)) { # init tag tag_df[[tag]] <- NA } - tag_idx <- tag_mx[,1] %in% tag - tag_df[[tag]][tag_idx] <- tag_mx[tag_idx,3] + tag_idx <- tag_mx[, 1] %in% tag + tag_df[[tag]][tag_idx] <- tag_mx[tag_idx, 3] } } @@ -100,18 +100,22 @@ tidy_paf_tags <- function(.data){ mutate_at(names(tag_types)[tag_types == "i"], as.integer) %>% mutate_at(names(tag_types)[tag_types == "f"], as.numeric) - if(!seen_empty_tag_col) - rlang::warn("Found tags in max_tags column, you should increase max_tags to", - " ensure all tags for all entries got included") + if (!seen_empty_tag_col) { + rlang::warn( + "Found tags in max_tags column, you should increase max_tags to", + " ensure all tags for all entries got included" + ) + } rlang::inform(str_glue( "Read and tidied up a .paf file with {n_tags} optional tag fields:\n{s_tags}", s_tags = toString(names(tag_types)), n_tags = length(tag_types), - "\nNote: warnings about fewer than expected columns are expected for this format.")) + "\nNote: warnings about fewer than expected columns are expected for this format." + )) # paf is 0-based inform("Note: .paf files use 0-based coordinate starts - transforming to 1-based") - .data <- mutate(.data, start=.data$start+1, start2=.data$start2+1) - + .data <- mutate(.data, start = .data$start + 1, start2 = .data$start2 + 1) + bind_cols(select(.data, -starts_with("tag_")), tag_df) } diff --git a/R/set_class.R b/R/set_class.R index 9705cb3..d34382c 100644 --- a/R/set_class.R +++ b/R/set_class.R @@ -9,25 +9,27 @@ #' @param add Possible values: "overwrite", "prepend", "append" #' @return Object x as class value. #' @export -set_class <- function(x, class, add=c("overwrite", "prepend", "append")){ - add = match.arg(add) +set_class <- function(x, class, add = c("overwrite", "prepend", "append")) { + add <- match.arg(add) class <- switch(add, - overwrite = class, - prepend = unique(c(class, class(x))), - append = unique(c(class(x), class))) - if(length(class) == 0) # for class == "" + overwrite = class, + prepend = unique(c(class, class(x))), + append = unique(c(class(x), class)) + ) + if (length(class) == 0) { # for class == "" unclass(x) - else + } else { `class<-`(x, class) + } } #' @export #' @rdname set_class -add_class <- function(x, class){ +add_class <- function(x, class) { set_class(x, class, "prepend") } #' @export #' @rdname set_class -strip_class <- function(x, class){ +strip_class <- function(x, class) { classes <- class(x)[!class(x) %in% class] set_class(x, classes) } diff --git a/R/subfeats.R b/R/subfeats.R index 1945050..4e4d6ea 100644 --- a/R/subfeats.R +++ b/R/subfeats.R @@ -4,42 +4,53 @@ #' @export #' @examples #' # Add domains to genes -#' genes <- tibble::tibble(seq_id="A", start=100, end=200, feat_id="gene1") -#' domains <- tibble::tibble(feat_id = "gene1", start=40, end=80) -#' gggenomes(genes=genes) %>% add_subfeats(domains, .transform = "none") + +#' genes <- tibble::tibble(seq_id = "A", start = 100, end = 200, feat_id = "gene1") +#' domains <- tibble::tibble(feat_id = "gene1", start = 40, end = 80) +#' gggenomes(genes = genes) %>% add_subfeats(domains, .transform = "none") + #' geom_gene() + geom_feat() #' -add_subfeats <- function(x, ..., .track_id = "genes", .transform = "aa2nuc"){ +add_subfeats <- function(x, ..., .track_id = "genes", .transform = "aa2nuc") { UseMethod("add_subfeats") } #' @export -add_subfeats.gggenomes <- function(x, ..., .track_id = "genes", - .transform = "aa2nuc"){ - x$data <- add_subfeats(x$data, ..., .track_id = {{ .track_id }}, - .transform = .transform) +add_subfeats.gggenomes <- function( + x, ..., .track_id = "genes", + .transform = "aa2nuc") { + x$data <- add_subfeats(x$data, ..., + .track_id = {{ .track_id }}, + .transform = .transform + ) x } #' @export -add_subfeats.gggenomes_layout <- function(x, ..., .track_id = "genes", - .transform = c("none", "aa2nuc", "nuc2aa")){ - if(!has_dots()) return(x) +add_subfeats.gggenomes_layout <- function( + x, ..., .track_id = "genes", + .transform = c("none", "aa2nuc", "nuc2aa")) { + if (!has_dots()) { + return(x) + } dot_exprs <- enexprs(...) # defuse before list(...) .transform <- match_arg(.transform) - if(.transform != "none") - inform(str_glue('Transforming subfeats with "{.transform}".', - ' Disable with `.transform = "none"`')) + if (.transform != "none") { + inform(str_glue( + 'Transforming subfeats with "{.transform}".', + ' Disable with `.transform = "none"`' + )) + } tracks <- as_tracks(list(...), dot_exprs, track_ids(x)) - add_subfeat_tracks(x, {{.track_id}}, tracks, .transform) + add_subfeat_tracks(x, {{ .track_id }}, tracks, .transform) } -add_subfeat_tracks <- function(x, parent_track_id, tracks, transform){ - feats <- pull_track(x, {{parent_track_id}}) +add_subfeat_tracks <- function(x, parent_track_id, tracks, transform) { + feats <- pull_track(x, {{ parent_track_id }}) x$feats <- c(x$feats, purrr::map( - tracks, as_subfeats, get_seqs(x), feats, transform = transform)) + tracks, as_subfeats, get_seqs(x), feats, + transform = transform + )) x } @@ -71,12 +82,12 @@ add_subfeat_tracks <- function(x, parent_track_id, tracks, transform){ #' @return a tbl_df with plot coordinates #' @export #' @keywords internal -as_subfeats <- function(x, seqs, feats, ..., everything=TRUE){ +as_subfeats <- function(x, seqs, feats, ..., everything = TRUE) { UseMethod("as_subfeats") } #' @export -as_subfeats.default <- function(x, seqs, feats, ..., everything=TRUE) { +as_subfeats.default <- function(x, seqs, feats, ..., everything = TRUE) { # try to coerce into tbl as_subfeats(as_tibble(x), ...) } @@ -84,40 +95,43 @@ as_subfeats.default <- function(x, seqs, feats, ..., everything=TRUE) { #' @export #' @describeIn as_subfeats Convert a list of tibbles into a feat layout #' @param transform use if feats and subfeats are in different coordinate -as_subfeats.tbl_df <- function(x, seqs, feats, ..., everything=TRUE, - transform = c("none", "aa2nuc", "nuc2aa")){ +as_subfeats.tbl_df <- function( + x, seqs, feats, ..., everything = TRUE, + transform = c("none", "aa2nuc", "nuc2aa")) { transform <- match_arg(transform) # TODO - bad transform, not none,aa2nuc,nuc2aa - vars <- c("feat_id","start","end") + vars <- c("feat_id", "start", "end") require_vars(x, vars) # coerce IDs to chars, so we don't get errors in join by mismatched types x <- mutate_at(x, vars("feat_id"), as.character) - other_vars <- if(everything) tidyselect::everything else function() NULL; + other_vars <- if (everything) tidyselect::everything else function() NULL x <- as_tibble(select(x, vars, other_vars())) # TODO: mutate_at - if at all x %<>% mutate_if(is.factor, as.character) - if(!has_name(x, "strand")){ + if (!has_name(x, "strand")) { x$strand <- strand_chr(x$start < x$end) - }else{ + } else { x$strand <- strand_chr(x$strand) } x <- x %>% swap_if(.data$start > .data$end, .data$start, .data$end) - if(transform == "aa2nuc") x <- mutate(x, start = 3*.data$start-2, end = 3*.data$end-2) - if(transform == "nuc2aa") x <- mutate(x, start = (.data$start+2)/3, end = (.data$end+2)/3) - - x <- x %>% left_join(select(feats, .data$feat_id, .data$seq_id, .feat_start=.data$start, - .feat_end = .data$end, .feat_strand = .data$strand), by = shared_names(x, "seq_id", "bin_id", "feat_id")) %>% + if (transform == "aa2nuc") x <- mutate(x, start = 3 * .data$start - 2, end = 3 * .data$end - 2) + if (transform == "nuc2aa") x <- mutate(x, start = (.data$start + 2) / 3, end = (.data$end + 2) / 3) + + x <- x %>% + left_join(select(feats, .data$feat_id, .data$seq_id, + .feat_start = .data$start, + .feat_end = .data$end, .feat_strand = .data$strand + ), by = shared_names(x, "seq_id", "bin_id", "feat_id")) %>% mutate( - start = ifelse(is_reverse(.data$.feat_strand), .data$.feat_end-.data$start, .data$.feat_start+.data$start), - end = ifelse(is_reverse(.data$.feat_strand), .data$.feat_end-.data$end, .data$.feat_start+.data$end), - .feat_start=NULL, .feat_end=NULL, .feat_strand=NULL) + start = ifelse(is_reverse(.data$.feat_strand), .data$.feat_end - .data$start, .data$.feat_start + .data$start), + end = ifelse(is_reverse(.data$.feat_strand), .data$.feat_end - .data$end, .data$.feat_start + .data$end), + .feat_start = NULL, .feat_end = NULL, .feat_strand = NULL + ) layout_feats(x, seqs, ...) } - - diff --git a/R/sublinks.R b/R/sublinks.R index de243b0..dd6672e 100644 --- a/R/sublinks.R +++ b/R/sublinks.R @@ -8,37 +8,48 @@ #' geom_gene() + geom_link() #' #' @export -add_sublinks <- function(x, ..., .track_id = "genes", .transform = "aa2nuc"){ +add_sublinks <- function(x, ..., .track_id = "genes", .transform = "aa2nuc") { UseMethod("add_sublinks") } #' @export -add_sublinks.gggenomes <- function(x, ..., .track_id = "genes", - .transform = "aa2nuc"){ - x$data <- add_sublinks(x$data, ..., .track_id = {{ .track_id }}, - .transform = .transform) +add_sublinks.gggenomes <- function( + x, ..., .track_id = "genes", + .transform = "aa2nuc") { + x$data <- add_sublinks(x$data, ..., + .track_id = {{ .track_id }}, + .transform = .transform + ) x } #' @export -add_sublinks.gggenomes_layout <- function(x, ..., .track_id = "genes", - .transform = c("aa2nuc", "none","nuc2aa")){ - if(!has_dots()) return(x) +add_sublinks.gggenomes_layout <- function( + x, ..., .track_id = "genes", + .transform = c("aa2nuc", "none", "nuc2aa")) { + if (!has_dots()) { + return(x) + } dot_exprs <- enexprs(...) # defuse before list(...) .transform <- match_arg(.transform) - if(.transform != "none") - inform(str_glue('Transforming sublinks with "{.transform}".', - ' Disable with `.transform = "none"`')) + if (.transform != "none") { + inform(str_glue( + 'Transforming sublinks with "{.transform}".', + ' Disable with `.transform = "none"`' + )) + } tracks <- as_tracks(list(...), dot_exprs, track_ids(x)) - add_sublink_tracks(x, {{.track_id}}, tracks, .transform) + add_sublink_tracks(x, {{ .track_id }}, tracks, .transform) } -add_sublink_tracks <- function(x, parent_track_id, tracks, transform){ - feats <- pull_track(x, {{parent_track_id}}) - links <- purrr::map(tracks, as_sublinks, get_seqs(x), feats, transform = transform, - compute_layout=FALSE) # layout only keeps adjacent +add_sublink_tracks <- function(x, parent_track_id, tracks, transform) { + feats <- pull_track(x, {{ parent_track_id }}) + links <- purrr::map(tracks, as_sublinks, get_seqs(x), feats, + transform = transform, + compute_layout = FALSE + ) # layout only keeps adjacent x$links <- c(x$links, purrr::map(links, layout_links, get_seqs(x))) x$orig_links <- c(x$orig_links, purrr::map(links, as_orig_links, get_seqs(x))) # also store orig links for re-layout x @@ -71,12 +82,12 @@ add_sublink_tracks <- function(x, parent_track_id, tracks, transform){ #' @return a tbl_df with plot coordinates #' @export #' @keywords internal -as_sublinks <- function(x, seqs, feats, ..., everything=TRUE){ +as_sublinks <- function(x, seqs, feats, ..., everything = TRUE) { UseMethod("as_sublinks") } #' @export -as_sublinks.default <- function(x, seqs, feats, ..., everything=TRUE) { +as_sublinks.default <- function(x, seqs, feats, ..., everything = TRUE) { # try to coerce into tbl as_sublinks(as_tibble(x), ...) } @@ -85,78 +96,88 @@ as_sublinks.default <- function(x, seqs, feats, ..., everything=TRUE) { #' @describeIn as_sublinks Convert a list of tibbles into a link layout #' @param transform use if feats and sublinks are in different coordinate #' @param compute_layout set to FALSE to skip layout computation -as_sublinks.tbl_df <- function(x, seqs, feats, ..., everything=TRUE, - transform = c("none", "aa2nuc", "nuc2aa"), compute_layout=TRUE){ +as_sublinks.tbl_df <- function( + x, seqs, feats, ..., everything = TRUE, + transform = c("none", "aa2nuc", "nuc2aa"), compute_layout = TRUE) { transform <- match.arg(transform) # TODO - bad transform, not none,aa2nuc,nuc2aa - vars <- c("feat_id","feat_id2") + vars <- c("feat_id", "feat_id2") require_vars(x, vars) require_vars(feats, "feat_id") # coerce IDs to chars, so we don't get errors in join by mismatched types x <- mutate_at(x, vars("feat_id", "feat_id2"), as.character) - if(!has_vars(x, c("start", "end", "start2", "end2"))){ - if(has_vars(x, c("start", "end", "start2", "end2"),any=TRUE)){ + if (!has_vars(x, c("start", "end", "start2", "end2"))) { + if (has_vars(x, c("start", "end", "start2", "end2"), any = TRUE)) { abort("Need either all of start,fend1,start2,end2 or none!") } x <- x %>% - left_join(select(feats, feat_id=.data$feat_id, seq_id=.data$seq_id, .feat_start=.data$start, - .feat_end = .data$end, .feat_strand = .data$strand), by = shared_names(x, "seq_id", "feat_id")) %>% + left_join(select(feats, + feat_id = .data$feat_id, seq_id = .data$seq_id, .feat_start = .data$start, + .feat_end = .data$end, .feat_strand = .data$strand + ), by = shared_names(x, "seq_id", "feat_id")) %>% mutate( start = .data$.feat_start, end = .data$.feat_end, - .feat_start=NULL, .feat_end=NULL) %>% - left_join(select(feats, feat_id2=.data$feat_id, seq_id2=.data$seq_id, .feat_start=.data$start, - .feat_end = .data$end, .feat_strand2 = .data$strand), by = shared_names(x, "seq_id2", "feat_id2")) %>% + .feat_start = NULL, .feat_end = NULL + ) %>% + left_join(select(feats, + feat_id2 = .data$feat_id, seq_id2 = .data$seq_id, .feat_start = .data$start, + .feat_end = .data$end, .feat_strand2 = .data$strand + ), by = shared_names(x, "seq_id2", "feat_id2")) %>% mutate( start2 = .data$.feat_start, end2 = .data$.feat_end, strand = strand_chr(.data$.feat_strand == .data$.feat_strand2), - .feat_start=NULL, .feat_end=NULL, .feat_strand=NULL, .feat_strand2=NULL) + .feat_start = NULL, .feat_end = NULL, .feat_strand = NULL, .feat_strand2 = NULL + ) vars <- c("feat_id", "start", "end", "feat_id2", "start2", "end2") - other_vars <- if(everything) tidyselect::everything else function() NULL; + other_vars <- if (everything) tidyselect::everything else function() NULL x <- as_tibble(select(x, vars, other_vars())) - - }else{ + } else { vars <- c("feat_id", "start", "end", "feat_id2", "start2", "end2") - other_vars <- if(everything) tidyselect::everything else function() NULL; + other_vars <- if (everything) tidyselect::everything else function() NULL x <- as_tibble(select(x, vars, other_vars())) x %<>% mutate_if(is.factor, as.character) - if(!has_name(x, "strand")){ + if (!has_name(x, "strand")) { x$strand <- strand_chr((x$start < x$end) == (x$start2 < x$end2)) - }else{ + } else { x$strand <- strand_chr(x$strand) } x <- x %>% swap_if(.data$start > .data$end, .data$start, .data$end) x <- x %>% swap_if(.data$start2 > .data$end2, .data$start2, .data$end2) - if(transform != "none"){ - transform <- switch(transform, - aa2nuc = ~3*.x-2, - nuc2aa = ~(.x+2)/3) + if (transform != "none") { + transform <- switch(transform, + aa2nuc = ~ 3 * .x - 2, + nuc2aa = ~ (.x + 2) / 3 + ) x <- mutate(x, across(c("start", "end", "start2", "end2"), transform)) } # map start/end from features to seqs feats <- select(feats, .data$feat_id, .data$seq_id, .data$bin_id, - .feat_start=.data$start, .feat_end=.data$end, .feat_strand=.data$strand) + .feat_start = .data$start, .feat_end = .data$end, .feat_strand = .data$strand + ) x <- x %>% inner_join(feats, by = shared_names(x, "seq_id", "bin_id", "feat_id")) %>% mutate( - start = if_reverse(.data$.feat_strand, .data$.feat_end-.data$start, .data$.feat_start+.data$start), - end = if_reverse(.data$.feat_strand, .data$.feat_end-.data$end, .data$.feat_start+.data$end), - .feat_start=NULL, .feat_end=NULL, .feat_strand=NULL) + start = if_reverse(.data$.feat_strand, .data$.feat_end - .data$start, .data$.feat_start + .data$start), + end = if_reverse(.data$.feat_strand, .data$.feat_end - .data$end, .data$.feat_start + .data$end), + .feat_start = NULL, .feat_end = NULL, .feat_strand = NULL + ) - feats <- rename_with(feats, ~paste0(.x,"2")) + feats <- rename_with(feats, ~ paste0(.x, "2")) x <- x %>% inner_join(feats, by = shared_names(x, "seq_id2", "bin_id2", "feat_id2")) %>% mutate( - start2 = if_reverse(.data$.feat_strand2, .data$.feat_end2-.data$start2, .data$.feat_start2+.data$start2), - end2 = if_reverse(.data$.feat_strand2, .data$.feat_end2-.data$end2, .data$.feat_start2+.data$end2), - .feat_start2=NULL, .feat_end2=NULL, .feat_strand2=NULL) + start2 = if_reverse(.data$.feat_strand2, .data$.feat_end2 - .data$start2, .data$.feat_start2 + .data$start2), + end2 = if_reverse(.data$.feat_strand2, .data$.feat_end2 - .data$end2, .data$.feat_start2 + .data$end2), + .feat_start2 = NULL, .feat_end2 = NULL, .feat_strand2 = NULL + ) # this seems redundant but it works - that's because initially strand # indicates if two features align in the same or opposite direction. But @@ -166,8 +187,9 @@ as_sublinks.tbl_df <- function(x, seqs, feats, ..., everything=TRUE, x <- x %>% swap_if(.data$start > .data$end, .data$start, .data$end) x <- x %>% swap_if(.data$start2 > .data$end2, .data$start2, .data$end2) } - if(compute_layout) - layout_links(x, seqs, ...) - else - x + if (compute_layout) { + layout_links(x, seqs, ...) + } else { + x + } } diff --git a/man/add_tracks.Rd b/man/add_tracks.Rd index 01b32f7..bfc2151 100644 --- a/man/add_tracks.Rd +++ b/man/add_tracks.Rd @@ -67,9 +67,9 @@ gggenomes(seqs = emale_seqs) \%>\% geom_seq() + geom_link() # Add domains to genes -genes <- tibble::tibble(seq_id="A", start=100, end=200, feat_id="gene1") -domains <- tibble::tibble(feat_id = "gene1", start=40, end=80) -gggenomes(genes=genes) \%>\% add_subfeats(domains, .transform = "none") + +genes <- tibble::tibble(seq_id = "A", start = 100, end = 200, feat_id = "gene1") +domains <- tibble::tibble(feat_id = "gene1", start = 40, end = 80) +gggenomes(genes = genes) \%>\% add_subfeats(domains, .transform = "none") + geom_gene() + geom_feat() # Add protein-protein alignments @@ -80,12 +80,13 @@ gggenomes(emale_genes) \%>\% # add clusters gggenomes(emale_genes, emale_seqs) \%>\% add_clusters(emale_cogs) \%>\% - sync() + # works because clusters - geom_link() + # become links + sync() + # works because clusters + geom_link() + # become links geom_seq() + # works because cluster info is joined to gene track - geom_gene(aes(fill=ifelse(is.na(cluster_id), NA, - stringr::str_glue("{cluster_id} [{cluster_size}]")))) + + geom_gene(aes(fill = ifelse(is.na(cluster_id), NA, + stringr::str_glue("{cluster_id} [{cluster_size}]") + ))) + scale_fill_discrete("COGs") } diff --git a/man/flip.Rd b/man/flip.Rd index 4f5b540..c325cde 100644 --- a/man/flip.Rd +++ b/man/flip.Rd @@ -44,31 +44,35 @@ For more details see the help vignette: } \examples{ library(patchwork) -p <- gggenomes(genes=emale_genes) + - geom_seq(aes(color=strand), arrow=TRUE) + - geom_link(aes(fill=strand)) + - expand_limits(color=c("-")) + - labs(caption="not flipped") +p <- gggenomes(genes = emale_genes) + + geom_seq(aes(color = strand), arrow = TRUE) + + geom_link(aes(fill = strand)) + + expand_limits(color = c("-")) + + labs(caption = "not flipped") # nothing flipped p0 <- p \%>\% add_links(emale_ava) # flip manually -p1 <- p \%>\% add_links(emale_ava) \%>\% - flip(4:6) + labs(caption="manually") +p1 <- p \%>\% + add_links(emale_ava) \%>\% + flip(4:6) + labs(caption = "manually") # flip automatically based on genome-genome links -p2 <- p \%>\% add_links(emale_ava) \%>\% - sync() + labs(caption="genome alignments") +p2 <- p \%>\% + add_links(emale_ava) \%>\% + sync() + labs(caption = "genome alignments") # flip automatically based on protein-protein links -p3 <- p \%>\% add_sublinks(emale_prot_ava) \%>\% - sync() + labs(caption="protein alignments") +p3 <- p \%>\% + add_sublinks(emale_prot_ava) \%>\% + sync() + labs(caption = "protein alignments") # flip automatically based on genes linked implicitly by belonging # to the same clusters of orthologs (or any grouping of your choice) -p4 <- p \%>\% add_clusters(emale_cogs) \%>\% - sync() + labs(caption="shared orthologs") +p4 <- p \%>\% + add_clusters(emale_cogs) \%>\% + sync() + labs(caption = "shared orthologs") -p0 + p1 + p2 + p3 + p4 + plot_layout(nrow=1, guides="collect") +p0 + p1 + p2 + p3 + p4 + plot_layout(nrow = 1, guides = "collect") } diff --git a/man/geom_wiggle.Rd b/man/geom_wiggle.Rd index 5d8e75d..30ecd5c 100644 --- a/man/geom_wiggle.Rd +++ b/man/geom_wiggle.Rd @@ -187,24 +187,24 @@ gggenomes(seqs = emale_seqs, feats = emale_gc) + geom_coverage(aes(z = score, color = score), height = 0.5, geom = "point") + geom_seq() # Plot varying GC-content along sequences as ribbon -gggenomes(seqs=emale_seqs, feats=emale_gc) + - geom_wiggle(aes(z=score)) + +gggenomes(seqs = emale_seqs, feats = emale_gc) + + geom_wiggle(aes(z = score)) + geom_seq() # customize color and position -gggenomes(genes=emale_genes, seqs=emale_seqs, feats=emale_gc) + - geom_wiggle(aes(z=score), fill="lavenderblush3", offset=-.3, height=.5) + +gggenomes(genes = emale_genes, seqs = emale_seqs, feats = emale_gc) + + geom_wiggle(aes(z = score), fill = "lavenderblush3", offset = -.3, height = .5) + geom_seq() + geom_gene() # GC-content as line and with variable color -gggenomes(seqs=emale_seqs, feats=emale_gc) + - geom_wiggle(aes(z=score, color=score), geom="line", bounds=c(.5,0,1)) + +gggenomes(seqs = emale_seqs, feats = emale_gc) + + geom_wiggle(aes(z = score, color = score), geom = "line", bounds = c(.5, 0, 1)) + geom_seq() + - scale_colour_viridis_b(option="A") + scale_colour_viridis_b(option = "A") # or as lineranges -gggenomes(seqs=emale_seqs, feats=emale_gc) + - geom_wiggle(aes(z=score, color=score), geom="linerange") + +gggenomes(seqs = emale_seqs, feats = emale_gc) + + geom_wiggle(aes(z = score, color = score), geom = "linerange") + geom_seq() + - scale_colour_viridis_b(option="A") + scale_colour_viridis_b(option = "A") } diff --git a/man/read_alitv.Rd b/man/read_alitv.Rd index 689248b..f0cfd5c 100644 --- a/man/read_alitv.Rd +++ b/man/read_alitv.Rd @@ -17,16 +17,18 @@ this file contains sequences, links and (optionally) genes } \examples{ ali <- read_alitv("https://alitvteam.github.io/AliTV/d3/data/chloroplasts.json") -gggenomes(ali$genes, ali$seqs, links=ali$links) + +gggenomes(ali$genes, ali$seqs, links = ali$links) + geom_seq() + geom_bin_label() + - geom_gene(aes(fill=class)) + + geom_gene(aes(fill = class)) + geom_link() -p <- gggenomes(ali$genes, ali$seqs, links=ali$links) + +p <- gggenomes(ali$genes, ali$seqs, links = ali$links) + geom_seq() + geom_bin_label() + - geom_gene(aes(color=class)) + - geom_link(aes(fill=identity)) + - scale_fill_distiller(palette="RdYlGn", direction = 1) -p \%>\% flip_seqs(5) \%>\% pick_seqs(1,3,2,4,5,6,7,8) + geom_gene(aes(color = class)) + + geom_link(aes(fill = identity)) + + scale_fill_distiller(palette = "RdYlGn", direction = 1) +p \%>\% + flip_seqs(5) \%>\% + pick_seqs(1, 3, 2, 4, 5, 6, 7, 8) } From 20fd8314ef8f885ae0c057ba8b7e2fba57f9a3d5 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Thu, 27 Jun 2024 09:04:25 +0200 Subject: [PATCH 24/25] Fix missing \value Rd-tags --- R/feats.R | 1 + R/flip.R | 1 + R/gggenomes.R | 4 +++- R/layout.R | 2 ++ R/links.R | 1 + R/seqs.R | 3 ++- R/strand.R | 4 ++++ R/tracks.R | 1 + man/add_seqs.Rd | 3 +++ man/add_tracks.Rd | 3 +++ man/as_links.Rd | 3 +++ man/check_strand.Rd | 3 +++ man/dim.gggenomes_layout.Rd | 7 +++++-- man/drop_layout.Rd | 3 +++ man/flip.Rd | 3 +++ man/get_seqs.Rd | 2 +- man/ggplot.gggenomes_layout.Rd | 3 +++ man/layout.Rd | 3 +++ man/strand_chr.Rd | 3 +++ man/strand_int.Rd | 3 +++ man/strand_lgl.Rd | 3 +++ man/track_ids.Rd | 3 +++ 22 files changed, 57 insertions(+), 5 deletions(-) diff --git a/R/feats.R b/R/feats.R index aa2e6a0..58032ac 100644 --- a/R/feats.R +++ b/R/feats.R @@ -108,6 +108,7 @@ drop_feat_layout <- function(x, keep = "strand") { #' @describeIn add_tracks Add feature annotations to sequences #' @order 1 +#' @return gggenomes object with added features #' @export #' @examples #' # Add some repeat annotations diff --git a/R/flip.R b/R/flip.R index eef2345..1ae6765 100644 --- a/R/flip.R +++ b/R/flip.R @@ -18,6 +18,7 @@ #' @param .bin_track,.seq_track when using a function as selector such as #' [tidyselect::where()], this specifies the track in which context the #' function is evaluated. +#' @return a gggenomes object with flipped bins or sequences #' #' @examples #' library(patchwork) diff --git a/R/gggenomes.R b/R/gggenomes.R index f02bc1e..fd18a44 100644 --- a/R/gggenomes.R +++ b/R/gggenomes.R @@ -160,6 +160,7 @@ gggenomes <- function( #' ggplot.default tries to `fortify(data)` and we don't want that here #' #' @export +#' @return ggplot object #' @keywords internal ggplot.gggenomes_layout <- function(data, mapping = aes(), ..., environment = parent.frame()) { @@ -236,9 +237,10 @@ layout_genomes <- function( } #' `ggplot2::facet_null` checks data with `empty(df)` using `dim`. This causes -#' and error because dim(gggenome_layout) is undefined. Return dim of primary +#' an error because dim(gggenome_layout) is undefined. Return dim of primary #' table instead #' @export +#' @return dim of primary table #' @keywords internal dim.gggenomes_layout <- function(x) dim(get_seqs(x)) diff --git a/R/layout.R b/R/layout.R index feb30f9..d2b0fc2 100644 --- a/R/layout.R +++ b/R/layout.R @@ -3,6 +3,7 @@ #' Re-layout the tracks and update the scales after seqs have been modified #' @param x layout #' @param ... additional data +#' @return layout with updated scales #' @export layout <- function(x, ...) { UseMethod("layout") @@ -41,6 +42,7 @@ layout.gggenomes_layout <- function( #' #' @param data layout #' @param ... additional data +#' @return gggenomes object without layout #' @export drop_layout <- function(data, ...) { UseMethod("drop_layout") diff --git a/R/links.R b/R/links.R index 090b23c..c04b301 100644 --- a/R/links.R +++ b/R/links.R @@ -16,6 +16,7 @@ #' #' @param x link data convertible to a link layout #' @inheritParams as_feats +#' @return a link layout #' @export #' @keywords internal as_links <- function(x, seqs, ..., everything = TRUE) { diff --git a/R/seqs.R b/R/seqs.R index 283fdda..41fd194 100644 --- a/R/seqs.R +++ b/R/seqs.R @@ -180,6 +180,7 @@ wrap_impl <- function(.data, xmax, xpad, ystart, xstart) { #' @param x a gggenomes or gggenomes_layout objekt #' @param seqs the sequences to add #' @param ... pass through to `as_seqs()` +#' @return a gggenomes or gggenomes_layout object with added seqs #' @export add_seqs <- function(x, seqs, ...) { UseMethod("add_seqs") @@ -212,7 +213,7 @@ get_seqs.gggenomes_layout <- function(x) { } #' @rdname get_seqs -#' @param value to set vor seqs +#' @param value to set for seqs #' @export set_seqs <- function(x, value) { UseMethod("set_seqs") diff --git a/R/strand.R b/R/strand.R index f1425e8..4177495 100644 --- a/R/strand.R +++ b/R/strand.R @@ -2,6 +2,7 @@ #' #' @param strand some representation for strandedness #' @param na what to use for `NA` +#' @return strand vector with unknown values replaced by `na` #' @export check_strand <- function(strand, na) { UseMethod("check_strand") @@ -44,6 +45,7 @@ check_strand.logical <- function(strand, na = NA) { #' #' @param strand some representation for strandedness #' @param na what to use for `NA` +#' @return strand vector as character #' @export strand_chr <- function(strand, na = NA) { UseMethod("strand_chr") @@ -77,6 +79,7 @@ strand_chr.logical <- function(strand, na = NA) { #' #' @param strand some representation for strandedness #' @param na what to use for `NA` +#' @return strand vector as integer #' @export strand_int <- function(strand, na = NA) { UseMethod("strand_int") @@ -113,6 +116,7 @@ strand_int.factor <- function(strand, na = NA) { #' #' @param strand some representation for strandedness #' @param na what to use for `NA` +#' @return strand vector as logical #' @export strand_lgl <- function(strand, na = NA) { UseMethod("strand_lgl") diff --git a/R/tracks.R b/R/tracks.R index 5a74dcb..ed8b3f9 100644 --- a/R/tracks.R +++ b/R/tracks.R @@ -2,6 +2,7 @@ #' @param x A gggenomes or gggenomes_layout object #' @param track_type restrict to any combination of "seqs", "feats" and "links". #' @param ... unused +#' @return a named vector of track ids and types #' @export track_ids <- function(x, track_type, ...) { UseMethod("track_ids") diff --git a/man/add_seqs.Rd b/man/add_seqs.Rd index f32dccc..cafa6e9 100644 --- a/man/add_seqs.Rd +++ b/man/add_seqs.Rd @@ -13,6 +13,9 @@ add_seqs(x, seqs, ...) \item{...}{pass through to \code{as_seqs()}} } +\value{ +a gggenomes or gggenomes_layout object with added seqs +} \description{ Add seqs } diff --git a/man/add_tracks.Rd b/man/add_tracks.Rd index bfc2151..99a4e5e 100644 --- a/man/add_tracks.Rd +++ b/man/add_tracks.Rd @@ -31,6 +31,9 @@ add_clusters(x, ..., .track_id = "genes") \item{.transform}{one of "aa2nuc", "none", "nuc2aa"} } +\value{ +gggenomes object with added features +} \description{ Add different types of tracks } diff --git a/man/as_links.Rd b/man/as_links.Rd index c1d875e..e38d7b0 100644 --- a/man/as_links.Rd +++ b/man/as_links.Rd @@ -15,6 +15,9 @@ as_links(x, seqs, ..., everything = TRUE) \item{everything}{set to FALSE to drop optional columns} } +\value{ +a link layout +} \description{ Read link data of pairwise sequence or feat comparisons, such as similarity searches into a tidy dataframe and augment it with layout diff --git a/man/check_strand.Rd b/man/check_strand.Rd index a279c8a..650f946 100644 --- a/man/check_strand.Rd +++ b/man/check_strand.Rd @@ -11,6 +11,9 @@ check_strand(strand, na) \item{na}{what to use for \code{NA}} } +\value{ +strand vector with unknown values replaced by \code{na} +} \description{ Check strand } diff --git a/man/dim.gggenomes_layout.Rd b/man/dim.gggenomes_layout.Rd index f5daa22..2931d3e 100644 --- a/man/dim.gggenomes_layout.Rd +++ b/man/dim.gggenomes_layout.Rd @@ -3,14 +3,17 @@ \name{dim.gggenomes_layout} \alias{dim.gggenomes_layout} \title{\code{ggplot2::facet_null} checks data with \code{empty(df)} using \code{dim}. This causes -and error because dim(gggenome_layout) is undefined. Return dim of primary +an error because dim(gggenome_layout) is undefined. Return dim of primary table instead} \usage{ \method{dim}{gggenomes_layout}(x) } +\value{ +dim of primary table +} \description{ \code{ggplot2::facet_null} checks data with \code{empty(df)} using \code{dim}. This causes -and error because dim(gggenome_layout) is undefined. Return dim of primary +an error because dim(gggenome_layout) is undefined. Return dim of primary table instead } \keyword{internal} diff --git a/man/drop_layout.Rd b/man/drop_layout.Rd index 93546dd..b8a4f48 100644 --- a/man/drop_layout.Rd +++ b/man/drop_layout.Rd @@ -11,6 +11,9 @@ drop_layout(data, ...) \item{...}{additional data} } +\value{ +gggenomes object without layout +} \description{ Drop a genome layout } diff --git a/man/flip.Rd b/man/flip.Rd index c325cde..9d02e6a 100644 --- a/man/flip.Rd +++ b/man/flip.Rd @@ -32,6 +32,9 @@ sequences of the 3rd bin: \code{flip_seqs(2, .bins=3)}.} \item{min_support}{only flip a bin if at least this many more nucleotides support an inversion over the given orientation} } +\value{ +a gggenomes object with flipped bins or sequences +} \description{ \code{flip} and \code{flip_seqs} reverse-complement specified bins or individual sequences and their features. \code{sync} automatically flips bins using a diff --git a/man/get_seqs.Rd b/man/get_seqs.Rd index f207266..f201fb0 100644 --- a/man/get_seqs.Rd +++ b/man/get_seqs.Rd @@ -12,7 +12,7 @@ set_seqs(x, value) \arguments{ \item{x}{a gggenomes or gggenomes_layout objekt} -\item{value}{to set vor seqs} +\item{value}{to set for seqs} } \value{ a gggenomes_layout track tibble diff --git a/man/ggplot.gggenomes_layout.Rd b/man/ggplot.gggenomes_layout.Rd index e90b7f2..18cb6e6 100644 --- a/man/ggplot.gggenomes_layout.Rd +++ b/man/ggplot.gggenomes_layout.Rd @@ -6,6 +6,9 @@ \usage{ \method{ggplot}{gggenomes_layout}(data, mapping = aes(), ..., environment = parent.frame()) } +\value{ +ggplot object +} \description{ ggplot.default tries to \code{fortify(data)} and we don't want that here } diff --git a/man/layout.Rd b/man/layout.Rd index 1564a46..a9477e5 100644 --- a/man/layout.Rd +++ b/man/layout.Rd @@ -11,6 +11,9 @@ layout(x, ...) \item{...}{additional data} } +\value{ +layout with updated scales +} \description{ Re-layout the tracks and update the scales after seqs have been modified } diff --git a/man/strand_chr.Rd b/man/strand_chr.Rd index 7aa6d55..1aae0f7 100644 --- a/man/strand_chr.Rd +++ b/man/strand_chr.Rd @@ -11,6 +11,9 @@ strand_chr(strand, na = NA) \item{na}{what to use for \code{NA}} } +\value{ +strand vector as character +} \description{ Convert strand to character } diff --git a/man/strand_int.Rd b/man/strand_int.Rd index 74e6e03..e158b7f 100644 --- a/man/strand_int.Rd +++ b/man/strand_int.Rd @@ -11,6 +11,9 @@ strand_int(strand, na = NA) \item{na}{what to use for \code{NA}} } +\value{ +strand vector as integer +} \description{ Convert strand to integer } diff --git a/man/strand_lgl.Rd b/man/strand_lgl.Rd index ec91566..6643615 100644 --- a/man/strand_lgl.Rd +++ b/man/strand_lgl.Rd @@ -11,6 +11,9 @@ strand_lgl(strand, na = NA) \item{na}{what to use for \code{NA}} } +\value{ +strand vector as logical +} \description{ Convert strand to logical } diff --git a/man/track_ids.Rd b/man/track_ids.Rd index 7a9a123..036b8a5 100644 --- a/man/track_ids.Rd +++ b/man/track_ids.Rd @@ -13,6 +13,9 @@ track_ids(x, track_type, ...) \item{...}{unused} } +\value{ +a named vector of track ids and types +} \description{ Named vector of track ids and types } From 35e42277d1af432463e7ac0065f15b1c809a0a17 Mon Sep 17 00:00:00 2001 From: Markus Ankenbrand Date: Thu, 27 Jun 2024 09:06:05 +0200 Subject: [PATCH 25/25] Simplify expression --- R/write.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/write.R b/R/write.R index 4de206f..e01ec42 100644 --- a/R/write.R +++ b/R/write.R @@ -30,7 +30,7 @@ write_gff3 <- function( } seqs <- mutate(seqs, start = 1, end = length) } - seqs <- mutate(seqs, directive = "##sequence-region", end = .data$end - .data$start + 1, start = .data$start - .data$start + 1) %>% + seqs <- mutate(seqs, directive = "##sequence-region", end = .data$end - .data$start + 1, start = 1) %>% select("directive", "seq_id", "start", "end") %>% unite("seq_reg", 1:4, sep = " ") }

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