A Bayesian approach to the evolution of metabolic networks on a phylogeny.

Journal article

The availability of genomes of many closely related bacteria with diverse metabolic capabilities offers the possibility of tracing metabolic evolution on a phylogeny relating the genomes to understand the evolutionary processes and constraints that affect the evolution of metabolic networks. Using simple (independent loss/gain of reactions) or complex (incorporating dependencies among reactions) stochastic models of metabolic evolution, it is possible to study how metabolic networks evolve ov...

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Authors: Mithani, A; Preston, G; Hein, J

• Publication status: Published
• Journal: PLoS computational biology
• Volume: 6
• Issue: 8
• Pages: 861-864
• Publication date: 2010-01-01
• DOI: 10.1371/journal.pcbi.1000868
• EISSN: 1553-7358
• ISSN: 1553-734X
• Language: English
• Keywords: Genome, Bacterial; Models, Statistical; Computer Simulation; Metabolic Networks and Pathways; Biological Evolution; Phylogeny; Models, Biological; Pseudomonas; Bayes Theorem