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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...

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Detalles Bibliográficos
Autores principales: Nathanson, Charles G., Tarnita, Corina E., Nowak, Martin A.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
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.
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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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