- 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...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1371/journal.pcbi.1000868
-
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- Journal:
- PLoS computational biology
- Volume:
- 6
- Issue:
- 8
- Pages:
- 861-864
- Publication date:
- 2010
- DOI:
- EISSN:
-
1553-7358
- ISSN:
-
1553-734X
- URN:
-
uuid:05c5e626-7ef1-42b7-8840-e7d98fc393c3
- Source identifiers:
-
66125
- Local pid:
- pubs:66125
- Copyright date:
- 2010
Journal article
A Bayesian approach to the evolution of metabolic networks on a phylogeny.
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