tam Resolved · high auto-curated

H37Rv Rv0294 · MTBC0 mtbc0_000313 · 261 aa · 361465–362250 (+) · RefSeq NP_214808.1

Annotation: from legacy to revised

Legacy (H37Rv / Mycobrowser)trans-aconitate methyltransferase
MTBC0 PGAP re-annotationtrans-aconitate 2-methyltransferase
Revised (this work)Trans-aconitate 2-methyltransferase. Pfam: Methyltransf_23 (PF13489.13), FtsJ (PF01728.26), MTS (PF05175.21), Methyltransf_31 (PF13847.13), Methyltransf_25 (PF13649.13), Methyltransf_11 (PF08241.19), Methyltransf_12 (PF08242.19).

Auto-curated: this verdict and function were generated by rules from PGAP + Pfam + Foldseek and have not been hand-reviewed.

Curated reference (UniProt)

UniProt P9WGA3 SwissProt · reviewed · Evidence at protein level
UniProt nameProbable trans-aconitate 2-methyltransferase
EC (curated) EC 2.1.1.144
Curated functionCatalyzes the S-adenosylmethionine monomethyl esterification of trans-aconitate.

Functional vocabulary (eggNOG-mapper, orthology transfer)

COG category J Translation, ribosomal structure and biogenesis
Preferred nametam
eggNOG descriptionCatalyzes the S-adenosylmethionine monomethyl esterification of trans-aconitate
Orthologous groupCOG4106
EC number EC 2.1.1.144
KEGG orthology K00598
Gene Ontology (23) GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0008150, GO:0008152, GO:0008168, GO:0008757, GO:0016740, GO:0016741 +11 more

Orthology-based transfer (eggNOG 5.0.2, diamond). EC/KO/GO/CAZy are computed annotations, not manual curation; cross-check against the primary literature before treating a specific reaction as established.

Conservation & selection (intra-MTBC, 145 209 strains)

pN/pS 0.273 · purifying
Polymorphic sites (≥ 0.1% of strains) 5 synonymous, 4 missense, 0 nonsense, 0 frameshift

pN/pS from segregating SNPs (singletons removed) normalised by possible sites. Low pN/pS = purifying selection (a strong signal that a "hypothetical" is a real, constrained gene). A high pN/pS is ambiguous: relaxed constraint or positive selection (drug resistance, antigenic variation) inflate it; e.g. rpoB/katG/pncA score high here for resistance, not loss of function. A clonal disruption (one allele over a clade) suggests lineage pseudogenisation; a convergent one (many independent alleles) is typical of resistance loss-of-function.

Domains (Pfam, hmmscan --cut_ga)

PfamAccessioni-EvalueResiduesDescription
Methyltransf_23PF13489.13 5.9e-1313–146 Methyltransferase domain
FtsJPF01728.26 3.0e-0520–95 FtsJ-like methyltransferase
MTSPF05175.21 3.6e-0522–100 Methyltransferase small domain
Methyltransf_31PF13847.13 4.3e-0730–127 Methyltransferase domain
Methyltransf_25PF13649.13 1.7e-1333–119 Methyltransferase domain
Methyltransf_11PF08241.19 4.8e-1234–123 Methyltransferase domain
Methyltransf_12PF08242.19 7.2e-1034–121 Methyltransferase domain

Functional interaction network (STRING v12, guilt-by-association)

PartnerProductScoreNo text-miningChannels (≥400)
Rv0293c hyp hypothetical protein 778 778 ctx neighborhood:777
Rv2628 hyp hypothetical protein 627 47 textmining:625
Rv0987 adhesion component ABC transporter permease 652 46 textmining:651
Rv3019c esxR ESAT-6 like protein EsxR 541 44 textmining:540
Rv1769 hyp hypothetical protein 870 41 textmining:870
Rv0988 hyp hypothetical protein 803 41 textmining:803
Rv0289 espG3 ESX-3 secretion-associated protein EspG3 548 41 textmining:548
Rv0291 mycP3 membrane-anchored mycosin MycP 511 41 textmining:511
Rv3879c espK ESX-1 secretion-associated protein EspK 412 41 textmining:412

STRING combines evidence channels (neighborhood, fusion, cooccurrence, coexpression, experimental, database, text-mining) into a 0–1000 score. The ctx badge marks edges carried by the genomic-context channels (conserved neighborhood, fusion, phylogenetic co-occurrence), which are independent of orthology and structure and the strongest signal for an unknown gene. The no text-mining column recomputes the score from data alone, so a link that does not depend on the literature is visible. Association is a function hypothesis, not proof: corroborate with the operon context and the primary literature before assigning a function.

Evidence

  • Legacy H37Rv annotation: trans-aconitate methyltransferase
  • MTBC0 PGAP product: trans-aconitate 2-methyltransferase
  • Pfam (hmmscan --cut_ga): Methyltransf_23 PF13489.13 (E=6e-13), FtsJ PF01728.26 (E=3e-05), MTS PF05175.21 (E=4e-05), Methyltransf_31 PF13847.13 (E=4e-07), Methyltransf_25 PF13649.13 (E=2e-13), Methyltransf_11 PF08241.19 (E=5e-12), Methyltransf_12 PF08242.19 (E=7e-10)
  • (auto-curated by rules from PGAP + Pfam + Foldseek; not hand-reviewed)

Sources

  • Ancestral sequence & coordinates: Harrison LB et al. (2024), An imputed ancestral reference genome for the MTBC, doi:10.1101/2023.09.07.556366
  • Product annotation: NCBI PGAP on MTBC0; legacy from H37Rv NC_000962.3 (RefSeq NP_214808.1)
  • Domains: Pfam-A via hmmscan --cut_ga — Methyltransf_23 (PF13489.13), FtsJ (PF01728.26), MTS (PF05175.21), Methyltransf_31 (PF13847.13), Methyltransf_25 (PF13649.13), Methyltransf_11 (PF08241.19), Methyltransf_12 (PF08242.19)
  • Sequence-level signal: ESM Atlas (EvolutionaryScale × BioHub) — exploratory
  • Controlled vocabulary: eggNOG-mapper 2.1.12 (Cantalapiedra et al. 2021, doi:10.1093/molbev/msab293), eggNOG 5.0 DB (Huerta-Cepas et al. 2019) — OG COG4106
  • Curated reference: UniProt P9WGA3 (SwissProt, reviewed; Evidence at protein level)
  • Intra-MTBC selection: pN/pS and disruption from SPDI variants of 145 209 MTBC strains (this work, local collection vs H37Rv NC_000962.3)
  • Interaction network: STRING v12.0 (Szklarczyk et al. 2023, doi:10.1093/nar/gkac1000), taxon 83332, CC-BY 4.0 — 9 functional partner(s)
  • Primary literature: none located yet; annotation rests on the domain/homology sources above.

Ancestral MTBC0 protein sequence

>mtbc0_000313|Rv0294|tam
MWDPDVYLAFSGHRNRPFYELVSRVGLERARRVVDLGCGPGHLTRYLARRWPGAVIEALDSSPEMVAAAAERGIDATTGDLRDWKPKPDTDVVVSNAALHWVPEHSDLLVRWVDELAPGSWIAVQIPGNFETPSHAAVRALARREPYAKLMRDIPFRVGAVVQSPAYYAELLMDTGCKVDVWETTYLHQLTGEHPVLDWITGSALVPVRERLSDESWQQFRQELIPLLNDAYPPRADGSTIFPFRRLFMVAEVGGARRSGG