Literature DB >> 19170816

The evolutionary dynamics of evolvability in a gene network model.

J Draghi1, G P Wagner.   

Abstract

Evolvability, the ability of populations to adapt, has recently emerged as a major unifying concept in biology. Although the study of evolvability offers new insights into many important biological questions, the conceptual bases of evolvability, and the mechanisms of its evolution, remain controversial. We used simulated evolution of a model of gene network dynamics to test the contentious hypothesis that natural selection can favour high evolvability, in particular in sexual populations. Our results conclusively demonstrate that fluctuating natural selection can increase the capacity of model gene networks to adapt to new environments. Detailed studies of the evolutionary dynamics of these networks establish a broad range of validity for this result and quantify the evolutionary forces responsible for changes in evolvability. Analysis of the genotype-phenotype map of these networks also reveals mechanisms connecting evolvability, genetic architecture and robustness. Our results suggest that the evolution of evolvability can have a pervasive influence on many aspects of organisms.

Mesh:

Year:  2008        PMID: 19170816     DOI: 10.1111/j.1420-9101.2008.01663.x

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  30 in total

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5.  Long-term evolution is surprisingly predictable in lattice proteins.

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6.  Female mating preferences determine system-level evolution in a gene network model.

Authors:  Janna L Fierst
Journal:  Genetica       Date:  2013-04-13       Impact factor: 1.082

Review 7.  Robustness and evolvability.

Authors:  Joanna Masel; Meredith V Trotter
Journal:  Trends Genet       Date:  2010-07-01       Impact factor: 11.639

8.  The evolution of phenotypic correlations and "developmental memory".

Authors:  Richard A Watson; Günter P Wagner; Mihaela Pavlicev; Daniel M Weinreich; Rob Mills
Journal:  Evolution       Date:  2014-02-01       Impact factor: 3.694

9.  Specialization can drive the evolution of modularity.

Authors:  Carlos Espinosa-Soto; Andreas Wagner
Journal:  PLoS Comput Biol       Date:  2010-03-26       Impact factor: 4.475

10.  On the accessibility of adaptive phenotypes of a bacterial metabolic network.

Authors:  Wilfred Ndifon; Joshua B Plotkin; Jonathan Dushoff
Journal:  PLoS Comput Biol       Date:  2009-08-21       Impact factor: 4.475

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