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Uncovering metabolic pathways relevant to phenotypic traits of microbial genomes.
Genome Biol. 10:R28 (2009)
Identifying the biochemical basis of microbial phenotypes is a main objective of comparative genomics. Here we present a novel method using multivariate machine learning techniques for comparing automatically derived metabolic reconstructions of sequenced genomes on a large scale. Applying our method to 266 genomes directly led to testable hypotheses such as the link between the potential of microorganisms to cause periodontal disease and their ability to degrade histidine, a link also supported by clinical studies.
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Publication type
Article: Journal article
Document type
Review
Keywords
isopentenyl diphosphate isomerase; methylerythritol phosphate-pathway; highly toxic clone; escherichia-coli; saccharomyces-cerevisiae; bacillus-subtilis; actinobacillus-actinomycetemcomitans; methanothermobacter-thermautotrophicus; phosphoglycerate mutase; isoprenoid biosynthesis
ISSN (print) / ISBN
1474-760X
e-ISSN
1465-6906
Journal
Genome Biology
Quellenangaben
Volume: 10,
Issue: 3,
Article Number: R28
Publisher
BioMed Central
Non-patent literature
Publications
Reviewing status
Peer reviewed