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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
Main Authors: Allen, Benjamin, Sample, Christine, Jencks, Robert, Withers, James, Steinhagen, Patricia, Brizuela, Lori, Kolodny, Joshua, Parke, Darren, Lippner, Gabor, Dementieva, Yulia A
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creator Allen, Benjamin
Sample, Christine
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Dementieva, Yulia A
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. 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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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