Uncovering metabolic pathways relevant to phenotypic traits of microbial genomes

Gabi Kastenmüller, Maria Elisabeth Schenk, Johann Gasteiger, Hans Werner Mewes

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

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.

Original languageEnglish
Article numberR28
JournalGenome Biology
Volume10
Issue number3
DOIs
StatePublished - 10 Mar 2009

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