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Evolutionary phase transitions in random environments

We present analytical results for long-term growth rates of structured populations in randomly fluctuating environments, which we apply to predict how cellular response networks evolve. We show that networks which respond rapidly to a stimulus will evolve phenotypic memory exclusively under random (...

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Detalhes bibliográficos
Publicado no:Phys Rev Lett
Main Authors: Skanata, Antun, Kussell, Edo
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5697730/
https://ncbi.nlm.nih.gov/pubmed/27472146
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1103/PhysRevLett.117.038104
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