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Evolutionary dynamics in structured populations
Evolutionary dynamics shape the living world around us. At the centre of every evolutionary process is a population of reproducing individuals. The structure of that population affects evolutionary dynamics. The individuals can be molecules, cells, viruses, multicellular organisms or humans. Wheneve...
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Formato: | Texto |
Lenguaje: | English |
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The Royal Society
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2842709/ https://www.ncbi.nlm.nih.gov/pubmed/20008382 http://dx.doi.org/10.1098/rstb.2009.0215 |
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author | Nowak, Martin A. Tarnita, Corina E. Antal, Tibor |
author_facet | Nowak, Martin A. Tarnita, Corina E. Antal, Tibor |
author_sort | Nowak, Martin A. |
collection | PubMed |
description | Evolutionary dynamics shape the living world around us. At the centre of every evolutionary process is a population of reproducing individuals. The structure of that population affects evolutionary dynamics. The individuals can be molecules, cells, viruses, multicellular organisms or humans. Whenever the fitness of individuals depends on the relative abundance of phenotypes in the population, we are in the realm of evolutionary game theory. Evolutionary game theory is a general approach that can describe the competition of species in an ecosystem, the interaction between hosts and parasites, between viruses and cells, and also the spread of ideas and behaviours in the human population. In this perspective, we review the recent advances in evolutionary game dynamics with a particular emphasis on stochastic approaches in finite sized and structured populations. We give simple, fundamental laws that determine how natural selection chooses between competing strategies. We study the well-mixed population, evolutionary graph theory, games in phenotype space and evolutionary set theory. We apply these results to the evolution of cooperation. The mechanism that leads to the evolution of cooperation in these settings could be called ‘spatial selection’: cooperators prevail against defectors by clustering in physical or other spaces. |
format | Text |
id | pubmed-2842709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-28427092010-03-23 Evolutionary dynamics in structured populations Nowak, Martin A. Tarnita, Corina E. Antal, Tibor Philos Trans R Soc Lond B Biol Sci Articles Evolutionary dynamics shape the living world around us. At the centre of every evolutionary process is a population of reproducing individuals. The structure of that population affects evolutionary dynamics. The individuals can be molecules, cells, viruses, multicellular organisms or humans. Whenever the fitness of individuals depends on the relative abundance of phenotypes in the population, we are in the realm of evolutionary game theory. Evolutionary game theory is a general approach that can describe the competition of species in an ecosystem, the interaction between hosts and parasites, between viruses and cells, and also the spread of ideas and behaviours in the human population. In this perspective, we review the recent advances in evolutionary game dynamics with a particular emphasis on stochastic approaches in finite sized and structured populations. We give simple, fundamental laws that determine how natural selection chooses between competing strategies. We study the well-mixed population, evolutionary graph theory, games in phenotype space and evolutionary set theory. We apply these results to the evolution of cooperation. The mechanism that leads to the evolution of cooperation in these settings could be called ‘spatial selection’: cooperators prevail against defectors by clustering in physical or other spaces. The Royal Society 2010-01-12 /pmc/articles/PMC2842709/ /pubmed/20008382 http://dx.doi.org/10.1098/rstb.2009.0215 Text en © 2010 The Royal Society http://creativecommons.org/licenses/by/2.0/ 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 work is properly cited. |
spellingShingle | Articles Nowak, Martin A. Tarnita, Corina E. Antal, Tibor Evolutionary dynamics in structured populations |
title | Evolutionary dynamics in structured populations |
title_full | Evolutionary dynamics in structured populations |
title_fullStr | Evolutionary dynamics in structured populations |
title_full_unstemmed | Evolutionary dynamics in structured populations |
title_short | Evolutionary dynamics in structured populations |
title_sort | evolutionary dynamics in structured populations |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2842709/ https://www.ncbi.nlm.nih.gov/pubmed/20008382 http://dx.doi.org/10.1098/rstb.2009.0215 |
work_keys_str_mv | AT nowakmartina evolutionarydynamicsinstructuredpopulations AT tarnitacorinae evolutionarydynamicsinstructuredpopulations AT antaltibor evolutionarydynamicsinstructuredpopulations |