Metabolic modelling in a dynamic evolutionary framework predicts adaptive diversification of bacteria in a long-term evolution experiment-Reference-Cited by-同舟云学术

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Metabolic modelling in a dynamic evolutionary framework predicts adaptive diversification of bacteria in a long-term evolution experiment

Published:2016-08-20 Issue:1 Volume:16 Page:
ISSN:1471-2148
Container-title:BMC Evolutionary Biology
language:en
Short-container-title:BMC Evol Biol

Author:

Großkopf Tobias,Consuegra Jessika,Gaffé Joël,Willison John C.,Lenski Richard E.,Soyer Orkun S.,Schneider Dominique

Funder

Biological and Biotechnological Sciences Research Council

Agence Nationale de la Recherche Programme Blanc

European Union programme FP7

Université Grenoble Alpes

Centre National de la Recherche Scientifique

U.S. National Science Foundation

BEACON Center for the Study of Evolution in Action

Publisher

Springer Science and Business Media LLC

Subject

Ecology, Evolution, Behavior and Systematics

Link

http://link.springer.com/content/pdf/10.1186/s12862-016-0733-x.pdf

Reference74 articles.

1. Stern DL, Orgogozo V, Pierre U, Bâtiment A, Saint Q. Is genetic evolution predictable? Nonrandom distribution of evolutionarily relevant mutations. Science. 2009;323:746–51.

2. Wiser MJ, Ribeck N, Lenski RE. Long-term dynamics of adaptation in asexual populations. Science. 2013;342:1364–7.

3. de Visser JAGM, Krug J. Empirical fitness landscapes and the predictability of evolution. Nat Rev Genet. 2014;15:480–90.

4. Nesse RM, Stearns SC. The great opportunity: Evolutionary applications to medicine and public health. Evol Appl. 2008;1:28–48.

5. Soyer OS, O’Malley MA. Evolutionary systems biology: What it is and why it matters. BioEssays. 2013;35:696–705.

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