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Calculating Evolutionary Dynamics in Structured Populations
Evolution is shaping the world around us. At the core of every evolutionary process is a population of reproducing individuals. The outcome of an evolutionary process depends on population structure. Here we provide a general formula for calculating evolutionary dynamics in a wide class of structure...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2787627/ https://www.ncbi.nlm.nih.gov/pubmed/20019806 http://dx.doi.org/10.1371/journal.pcbi.1000615 |
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author | Nathanson, Charles G. Tarnita, Corina E. Nowak, Martin A. |
author_facet | Nathanson, Charles G. Tarnita, Corina E. Nowak, Martin A. |
author_sort | Nathanson, Charles G. |
collection | PubMed |
description | Evolution is shaping the world around us. At the core of every evolutionary process is a population of reproducing individuals. The outcome of an evolutionary process depends on population structure. Here we provide a general formula for calculating evolutionary dynamics in a wide class of structured populations. This class includes the recently introduced “games in phenotype space” and “evolutionary set theory.” There can be local interactions for determining the relative fitness of individuals, but we require global updating, which means all individuals compete uniformly for reproduction. We study the competition of two strategies in the context of an evolutionary game and determine which strategy is favored in the limit of weak selection. We derive an intuitive formula for the structure coefficient, σ, and provide a method for efficient numerical calculation. |
format | Text |
id | pubmed-2787627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-27876272009-12-18 Calculating Evolutionary Dynamics in Structured Populations Nathanson, Charles G. Tarnita, Corina E. Nowak, Martin A. PLoS Comput Biol Research Article Evolution is shaping the world around us. At the core of every evolutionary process is a population of reproducing individuals. The outcome of an evolutionary process depends on population structure. Here we provide a general formula for calculating evolutionary dynamics in a wide class of structured populations. This class includes the recently introduced “games in phenotype space” and “evolutionary set theory.” There can be local interactions for determining the relative fitness of individuals, but we require global updating, which means all individuals compete uniformly for reproduction. We study the competition of two strategies in the context of an evolutionary game and determine which strategy is favored in the limit of weak selection. We derive an intuitive formula for the structure coefficient, σ, and provide a method for efficient numerical calculation. Public Library of Science 2009-12-18 /pmc/articles/PMC2787627/ /pubmed/20019806 http://dx.doi.org/10.1371/journal.pcbi.1000615 Text en Nathanson et al. 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 Nathanson, Charles G. Tarnita, Corina E. Nowak, Martin A. Calculating Evolutionary Dynamics in Structured Populations |
title | Calculating Evolutionary Dynamics in Structured Populations |
title_full | Calculating Evolutionary Dynamics in Structured Populations |
title_fullStr | Calculating Evolutionary Dynamics in Structured Populations |
title_full_unstemmed | Calculating Evolutionary Dynamics in Structured Populations |
title_short | Calculating Evolutionary Dynamics in Structured Populations |
title_sort | calculating evolutionary dynamics in structured populations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2787627/ https://www.ncbi.nlm.nih.gov/pubmed/20019806 http://dx.doi.org/10.1371/journal.pcbi.1000615 |
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