Evolution of metabolisms: A new method for the comparison of metabolic pathways using genomics information

Christian V. Forst, Klaus Schulten

Research output: Contribution to journalArticlepeer-review

Abstract

The abundance of information provided by completely sequenced genomes defines a starting point for new insights in the multilevel organization of organisms and their evolution. At the lowest level enzymes and other protein complexes are formed by aggregating multiple polypeptides. At a higher level enzymes group conceptually into metabolic pathways as part of a dynamic information-processing system, and substrates are processed by enzymes yielding other substrates. A method based on a combination of sequence information with graph topology of the underlying pathway is presented. With this approach pathways of different organisms are related to each other by phylogenetic analysis, extending conventional phylogenetic analysis of individual enzymes. The new method is applied to pathways related to electron transfer and to the Krebs citric acid cycle. In addition to providing a more comprehensive understanding of similarities and differences between organisms, this method indicates different evolutionary raises between substrates and enzymes.

Original languageEnglish (US)
Pages (from-to)343-360
Number of pages18
JournalJournal of Computational Biology
Volume6
Issue number3-4
DOIs
StatePublished - Sep 1999

Keywords

  • Citric acid cycle
  • Electron transfer
  • Metabolic networks
  • Microbial genomes
  • Phylogeny

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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