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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
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Plant Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More from this funder
Name:
"Royal Society", "Biotechnology and Biological Sciences Research Council"
Funding agency for:
Preston, G
Grant:
BB/E007872/1
More from this funder
Name:
"Higher Education Commission, Government of Pakistan"
Funding agency for:
Mithani, A
Publisher:
Public Library of Science
Journal:
PLoS Computational Biology More from this journal
Volume:
6
Issue:
8
Article number:
e1000868
Publication date:
2010-08-01
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Language:
English
Keywords:
Subjects:
UUID:
uuid:ad435f47-4fe3-4818-8535-5582ab19139d
Local pid:
ora:4585
Deposit date:
2010-12-08

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