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The Arrival of the Frequent: How Bias in Genotype-Phenotype Maps Can Steer Populations to Local Optima

Genotype-phenotype (GP) maps specify how the random mutations that change genotypes generate variation by altering phenotypes, which, in turn, can trigger selection. Many GP maps share the following general properties: 1) The total number of genotypes [Image: see text] is much larger than the number...

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Autores principales: Schaper, Steffen, Louis, Ard A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914804/
https://www.ncbi.nlm.nih.gov/pubmed/24505262
http://dx.doi.org/10.1371/journal.pone.0086635
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author Schaper, Steffen
Louis, Ard A.
author_facet Schaper, Steffen
Louis, Ard A.
author_sort Schaper, Steffen
collection PubMed
description Genotype-phenotype (GP) maps specify how the random mutations that change genotypes generate variation by altering phenotypes, which, in turn, can trigger selection. Many GP maps share the following general properties: 1) The total number of genotypes [Image: see text] is much larger than the number of selectable phenotypes; 2) Neutral exploration changes the variation that is accessible to the population; 3) The distribution of phenotype frequencies [Image: see text], with [Image: see text] the number of genotypes mapping onto phenotype [Image: see text], is highly biased: the majority of genotypes map to only a small minority of the phenotypes. Here we explore how these properties affect the evolutionary dynamics of haploid Wright-Fisher models that are coupled to a random GP map or to a more complex RNA sequence to secondary structure map. For both maps the probability of a mutation leading to a phenotype [Image: see text] scales to first order as [Image: see text], although for the RNA map there are further correlations as well. By using mean-field theory, supported by computer simulations, we show that the discovery time [Image: see text] of a phenotype [Image: see text] similarly scales to first order as [Image: see text] for a wide range of population sizes and mutation rates in both the monomorphic and polymorphic regimes. These differences in the rate at which variation arises can vary over many orders of magnitude. Phenotypic variation with a larger [Image: see text] is therefore be much more likely to arise than variation with a small [Image: see text]. We show, using the RNA model, that frequent phenotypes (with larger [Image: see text]) can fix in a population even when alternative, but less frequent, phenotypes with much higher fitness are potentially accessible. In other words, if the fittest never ‘arrive’ on the timescales of evolutionary change, then they can't fix. We call this highly non-ergodic effect the ‘arrival of the frequent’.
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spelling pubmed-39148042014-02-06 The Arrival of the Frequent: How Bias in Genotype-Phenotype Maps Can Steer Populations to Local Optima Schaper, Steffen Louis, Ard A. PLoS One Research Article Genotype-phenotype (GP) maps specify how the random mutations that change genotypes generate variation by altering phenotypes, which, in turn, can trigger selection. Many GP maps share the following general properties: 1) The total number of genotypes [Image: see text] is much larger than the number of selectable phenotypes; 2) Neutral exploration changes the variation that is accessible to the population; 3) The distribution of phenotype frequencies [Image: see text], with [Image: see text] the number of genotypes mapping onto phenotype [Image: see text], is highly biased: the majority of genotypes map to only a small minority of the phenotypes. Here we explore how these properties affect the evolutionary dynamics of haploid Wright-Fisher models that are coupled to a random GP map or to a more complex RNA sequence to secondary structure map. For both maps the probability of a mutation leading to a phenotype [Image: see text] scales to first order as [Image: see text], although for the RNA map there are further correlations as well. By using mean-field theory, supported by computer simulations, we show that the discovery time [Image: see text] of a phenotype [Image: see text] similarly scales to first order as [Image: see text] for a wide range of population sizes and mutation rates in both the monomorphic and polymorphic regimes. These differences in the rate at which variation arises can vary over many orders of magnitude. Phenotypic variation with a larger [Image: see text] is therefore be much more likely to arise than variation with a small [Image: see text]. We show, using the RNA model, that frequent phenotypes (with larger [Image: see text]) can fix in a population even when alternative, but less frequent, phenotypes with much higher fitness are potentially accessible. In other words, if the fittest never ‘arrive’ on the timescales of evolutionary change, then they can't fix. We call this highly non-ergodic effect the ‘arrival of the frequent’. Public Library of Science 2014-02-05 /pmc/articles/PMC3914804/ /pubmed/24505262 http://dx.doi.org/10.1371/journal.pone.0086635 Text en © 2014 Schaper, Louis http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Schaper, Steffen
Louis, Ard A.
The Arrival of the Frequent: How Bias in Genotype-Phenotype Maps Can Steer Populations to Local Optima
title The Arrival of the Frequent: How Bias in Genotype-Phenotype Maps Can Steer Populations to Local Optima
title_full The Arrival of the Frequent: How Bias in Genotype-Phenotype Maps Can Steer Populations to Local Optima
title_fullStr The Arrival of the Frequent: How Bias in Genotype-Phenotype Maps Can Steer Populations to Local Optima
title_full_unstemmed The Arrival of the Frequent: How Bias in Genotype-Phenotype Maps Can Steer Populations to Local Optima
title_short The Arrival of the Frequent: How Bias in Genotype-Phenotype Maps Can Steer Populations to Local Optima
title_sort arrival of the frequent: how bias in genotype-phenotype maps can steer populations to local optima
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914804/
https://www.ncbi.nlm.nih.gov/pubmed/24505262
http://dx.doi.org/10.1371/journal.pone.0086635
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