Systematic condition-dependent annotation of metabolic genes.

TitleSystematic condition-dependent annotation of metabolic genes.
Publication TypeJournal Article
Year of Publication2007
AuthorsShlomi T, Herrgard M, Portnoy V, Naim E, Palsson BØ, Sharan R, Ruppin E
JournalGenome Res
Volume17
Issue11
Pagination1626-33
Date Published2007 Nov
ISSN1088-9051
KeywordsComputational Biology, Databases, Genetic, Databases, Protein, Genes, Fungal, Phylogeny, Saccharomyces cerevisiae
Abstract

The task of deriving a functional annotation for genes is complex as their involvement in various processes depends on multiple factors such as environmental conditions and genetic backup mechanisms. This study employs a large-scale model of the metabolism of Saccharomyces cerevisiae to investigate the function of yeast genes and derive a condition-dependent annotation (CDA) for their involvement in major metabolic processes under various genetic and environmental conditions. The resulting CDA is validated on a large scale and is shown to be superior to the corresponding Gene Ontology (GO) annotation, by showing that genes annotated with the same CDA term tend to be more coherently conserved in evolution and display greater expression coherency than those annotated with the same GO term. The CDA gives rise to new kinds of functional condition-dependent metabolic pathways, some of which are described and further examined via substrate auxotrophy measurements of knocked-out strains. The CDA presented is likely to serve as a new reference source for metabolic gene annotation.

DOI10.1101/gr.6678707
PubMed URLhttp://www.ncbi.nlm.nih.gov/pubmed/17895423?dopt=Abstract
PMCPMC2045145
Alternate TitleGenome Res.
PubMed ID17895423