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Transient amplifiers of selection and reducers of fixation for death-Birth updating on graphs
The spatial structure of an evolving population affects the balance of natural selection versus genetic drift. Some structures amplify selection, increasing the role that fitness differences play in determining which mutations become fixed. Other structures suppress selection, reducing the effect of...
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Published in: | PLoS computational biology 2020-01, Vol.16 (1), p.e1007529-e1007529 |
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description | The spatial structure of an evolving population affects the balance of natural selection versus genetic drift. Some structures amplify selection, increasing the role that fitness differences play in determining which mutations become fixed. Other structures suppress selection, reducing the effect of fitness differences and increasing the role of random chance. This phenomenon can be modeled by representing spatial structure as a graph, with individuals occupying vertices. Births and deaths occur stochastically, according to a specified update rule. We study death-Birth updating: An individual is chosen to die and then its neighbors compete to reproduce into the vacant spot. Previous numerical experiments suggested that amplifiers of selection for this process are either rare or nonexistent. We introduce a perturbative method for this problem for weak selection regime, meaning that mutations have small fitness effects. We show that fixation probability under weak selection can be calculated in terms of the coalescence times of random walks. This result leads naturally to a new definition of effective population size. Using this and other methods, we uncover the first known examples of transient amplifiers of selection (graphs that amplify selection for a particular range of fitness values) for the death-Birth process. We also exhibit new families of "reducers of fixation", which decrease the fixation probability of all mutations, whether beneficial or deleterious. |
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Some structures amplify selection, increasing the role that fitness differences play in determining which mutations become fixed. Other structures suppress selection, reducing the effect of fitness differences and increasing the role of random chance. This phenomenon can be modeled by representing spatial structure as a graph, with individuals occupying vertices. Births and deaths occur stochastically, according to a specified update rule. We study death-Birth updating: An individual is chosen to die and then its neighbors compete to reproduce into the vacant spot. Previous numerical experiments suggested that amplifiers of selection for this process are either rare or nonexistent. We introduce a perturbative method for this problem for weak selection regime, meaning that mutations have small fitness effects. We show that fixation probability under weak selection can be calculated in terms of the coalescence times of random walks. This result leads naturally to a new definition of effective population size. Using this and other methods, we uncover the first known examples of transient amplifiers of selection (graphs that amplify selection for a particular range of fitness values) for the death-Birth process. We also exhibit new families of "reducers of fixation", which decrease the fixation probability of all mutations, whether beneficial or deleterious.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1007529</identifier><identifier>PMID: 31951612</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Amplifiers ; Apexes ; Biological evolution ; Biology and Life Sciences ; Birth ; Coalescence ; Coalescing ; Computational Biology ; Computer and Information Sciences ; Death ; Earth Sciences ; Fitness ; Fixation ; Genetic Drift ; Graph theory ; Graphical representations ; Graphs ; Mathematics ; Methods ; Models, Biological ; Models, Statistical ; Mortality ; Mutation ; Natural selection ; Numerical analysis ; Physical sciences ; Population ; Population Dynamics ; Population number ; Probability ; Random walk ; Reproductive fitness ; Research and Analysis Methods ; Selection, Genetic ; Supervision</subject><ispartof>PLoS computational biology, 2020-01, Vol.16 (1), p.e1007529-e1007529</ispartof><rights>2020 Allen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Some structures amplify selection, increasing the role that fitness differences play in determining which mutations become fixed. Other structures suppress selection, reducing the effect of fitness differences and increasing the role of random chance. This phenomenon can be modeled by representing spatial structure as a graph, with individuals occupying vertices. Births and deaths occur stochastically, according to a specified update rule. We study death-Birth updating: An individual is chosen to die and then its neighbors compete to reproduce into the vacant spot. Previous numerical experiments suggested that amplifiers of selection for this process are either rare or nonexistent. We introduce a perturbative method for this problem for weak selection regime, meaning that mutations have small fitness effects. We show that fixation probability under weak selection can be calculated in terms of the coalescence times of random walks. This result leads naturally to a new definition of effective population size. Using this and other methods, we uncover the first known examples of transient amplifiers of selection (graphs that amplify selection for a particular range of fitness values) for the death-Birth process. We also exhibit new families of "reducers of fixation", which decrease the fixation probability of all mutations, whether beneficial or deleterious.</description><subject>Amplifiers</subject><subject>Apexes</subject><subject>Biological evolution</subject><subject>Biology and Life Sciences</subject><subject>Birth</subject><subject>Coalescence</subject><subject>Coalescing</subject><subject>Computational Biology</subject><subject>Computer and Information Sciences</subject><subject>Death</subject><subject>Earth Sciences</subject><subject>Fitness</subject><subject>Fixation</subject><subject>Genetic Drift</subject><subject>Graph theory</subject><subject>Graphical representations</subject><subject>Graphs</subject><subject>Mathematics</subject><subject>Methods</subject><subject>Models, Biological</subject><subject>Models, Statistical</subject><subject>Mortality</subject><subject>Mutation</subject><subject>Natural selection</subject><subject>Numerical analysis</subject><subject>Physical 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amplifiers of selection and reducers of fixation for death-Birth updating on graphs</title><author>Allen, Benjamin ; Sample, Christine ; Jencks, Robert ; Withers, James ; Steinhagen, Patricia ; Brizuela, Lori ; Kolodny, Joshua ; Parke, Darren ; Lippner, Gabor ; Dementieva, Yulia A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4419-30986c16fba90f4f1fb21a5c0bad8c25788d3a8f6890cd32e80bf2b97a64d5613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Amplifiers</topic><topic>Apexes</topic><topic>Biological evolution</topic><topic>Biology and Life Sciences</topic><topic>Birth</topic><topic>Coalescence</topic><topic>Coalescing</topic><topic>Computational Biology</topic><topic>Computer and Information Sciences</topic><topic>Death</topic><topic>Earth Sciences</topic><topic>Fitness</topic><topic>Fixation</topic><topic>Genetic Drift</topic><topic>Graph 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A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transient amplifiers of selection and reducers of fixation for death-Birth updating on graphs</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>16</volume><issue>1</issue><spage>e1007529</spage><epage>e1007529</epage><pages>e1007529-e1007529</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>The spatial structure of an evolving population affects the balance of natural selection versus genetic drift. 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subjects | Amplifiers Apexes Biological evolution Biology and Life Sciences Birth Coalescence Coalescing Computational Biology Computer and Information Sciences Death Earth Sciences Fitness Fixation Genetic Drift Graph theory Graphical representations Graphs Mathematics Methods Models, Biological Models, Statistical Mortality Mutation Natural selection Numerical analysis Physical sciences Population Population Dynamics Population number Probability Random walk Reproductive fitness Research and Analysis Methods Selection, Genetic Supervision |
title | Transient amplifiers of selection and reducers of fixation for death-Birth updating on graphs |
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