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

Abstract:

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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Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Plant Sciences
Role:
Author
Journal:
PLoS computational biology More from this journal
Volume:
6
Issue:
8
Pages:
861-864
Publication date:
2010-01-01
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Language:
English
Keywords:
Pubs id:
pubs:66125
UUID:
uuid:05c5e626-7ef1-42b7-8840-e7d98fc393c3
Local pid:
pubs:66125
Source identifiers:
66125
Deposit date:
2012-12-19

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