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Evolvability Is Inevitable: Increasing Evolvability without the Pressure to Adapt

Overview of attention for article published in PLOS ONE, April 2013
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Title
Evolvability Is Inevitable: Increasing Evolvability without the Pressure to Adapt
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0062186
Pubmed ID
Authors

Joel Lehman, Kenneth O. Stanley

Abstract

Why evolvability appears to have increased over evolutionary time is an important unresolved biological question. Unlike most candidate explanations, this paper proposes that increasing evolvability can result without any pressure to adapt. The insight is that if evolvability is heritable, then an unbiased drifting process across genotypes can still create a distribution of phenotypes biased towards evolvability, because evolvable organisms diffuse more quickly through the space of possible phenotypes. Furthermore, because phenotypic divergence often correlates with founding niches, niche founders may on average be more evolvable, which through population growth provides a genotypic bias towards evolvability. Interestingly, the combination of these two mechanisms can lead to increasing evolvability without any pressure to out-compete other organisms, as demonstrated through experiments with a series of simulated models. Thus rather than from pressure to adapt, evolvability may inevitably result from any drift through genotypic space combined with evolution's passive tendency to accumulate niches.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
United Kingdom 2 1%
Brazil 2 1%
Germany 1 <1%
Netherlands 1 <1%
Hungary 1 <1%
Norway 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Other 4 2%
Unknown 160 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 23%
Researcher 34 19%
Student > Master 24 13%
Professor > Associate Professor 12 7%
Other 10 6%
Other 40 22%
Unknown 17 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 39%
Computer Science 41 23%
Biochemistry, Genetics and Molecular Biology 15 8%
Engineering 8 4%
Psychology 4 2%
Other 20 11%
Unknown 22 12%