Revisiting the y-ome of Escherichia coli.


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
07 Oct 2024
Historique:
accepted: 23 09 2024
revised: 17 09 2024
received: 21 12 2023
medline: 7 10 2024
pubmed: 7 10 2024
entrez: 7 10 2024
Statut: aheadofprint

Résumé

The model organism Escherichia coli K-12 has one of the most extensively annotated genomes in terms of functional characterization, yet a significant number of genes, ∼35%, are still considered poorly characterized. Initially genes without known functional understanding were given 'y' gene names. However, due to inconsistency in changing 'y' names to non-'y' names over the years, gene name alone does not provide sufficient information as to the characterization level of genes. Attempts to characterize y-ome genes, i.e. those that lack experimental evidence for function, are ongoing, and recent categorization based on the level of experimental evidence has helped clarify those genes that are well characterized versus uncharacterized. EcoCyc, the most comprehensive, curated genome database for E. coli K-12 substr. MG1655, has updated this approach by expanding the categories to include Partially characterized genes using a set of computational rules that includes keywords, experimental evidence codes and Gene Ontology terms. Approximately half of the previously categorized y-ome genes are now categorized as Partially characterized, leaving 15.5% (738) as Uncharacterized genes in EcoCyc. This new categorization scheme is searchable in the EcoCyc database, will be updated as new experimental evidence is curated and provides important information for research decisions.

Identifiants

pubmed: 39373482
pii: 7814695
doi: 10.1093/nar/gkae857
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIGMS NIH HHS
ID : GM077678
Pays : United States

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.

Auteurs

Lisa R Moore (LR)

Bioinformatics Research Group, SRI International, 333 Ravenswood Ave, Menlo Park, CA, 94025 USA.

Ron Caspi (R)

Bioinformatics Research Group, SRI International, 333 Ravenswood Ave, Menlo Park, CA, 94025 USA.

Dana Boyd (D)

Department of Microbiology, Blavatnik Institute, Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115 USA.

Mehmet Berkmen (M)

Department of Biochemistry and Microbiology, New England Biolabs, 240 County Road, Ipswich, MA, 01938 USA.

Amanda Mackie (A)

School of Natural Sciences, Macquarie University, 14 Eastern Road, North Ryde, NSW, 2109 Australia.

Suzanne Paley (S)

Bioinformatics Research Group, SRI International, 333 Ravenswood Ave, Menlo Park, CA, 94025 USA.

Peter D Karp (PD)

Bioinformatics Research Group, SRI International, 333 Ravenswood Ave, Menlo Park, CA, 94025 USA.

Classifications MeSH