Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1782302467688497152 |
---|---|
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’. |
format | Online Article Text |
id | pubmed-3914804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT schapersteffen thearrivalofthefrequenthowbiasingenotypephenotypemapscansteerpopulationstolocaloptima AT louisarda thearrivalofthefrequenthowbiasingenotypephenotypemapscansteerpopulationstolocaloptima AT schapersteffen arrivalofthefrequenthowbiasingenotypephenotypemapscansteerpopulationstolocaloptima AT louisarda arrivalofthefrequenthowbiasingenotypephenotypemapscansteerpopulationstolocaloptima |