Perturbation expansions of multilocus fixation probabilities for frequency-dependent selection with applications to the Hill-Robertson effect and to the joint evolution of helping and punishment.

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Serval ID
serval:BIB_4A23758E6F1B
Type
Article: article from journal or magazin.
Collection
Publications
Title
Perturbation expansions of multilocus fixation probabilities for frequency-dependent selection with applications to the Hill-Robertson effect and to the joint evolution of helping and punishment.
Journal
Theoretical Population Biology
Author(s)
Lehmann L., Rousset F.
ISSN
1096-0325 (Electronic)
ISSN-L
0040-5809
Publication state
Published
Issued date
2009
Peer-reviewed
Oui
Volume
76
Number
1
Pages
35-51
Language
english
Abstract
Natural populations are of finite size and organisms carry multilocus genotypes. There are, nevertheless, few results on multilocus models when both random genetic drift and natural selection affect the evolutionary dynamics. In this paper we describe a formalism to calculate systematic perturbation expansions of moments of allelic states around neutrality in populations of constant size. This allows us to evaluate multilocus fixation probabilities (long-term limits of the moments) under arbitrary strength of selection and gene action. We show that such fixation probabilities can be expressed in terms of selection coefficients weighted by mean first passages times of ancestral gene lineages within a single ancestor. These passage times extend the coalescence times that weight selection coefficients in one-locus perturbation formulas for fixation probabilities. We then apply these results to investigate the Hill-Robertson effect and the coevolution of helping and punishment. Finally, we discuss limitations and strengths of the perturbation approach. In particular, it provides accurate approximations for fixation probabilities for weak selection regimes only (Ns < or = 1), but it provides generally good prediction for the direction of selection under frequency-dependent selection.
Keywords
Animals, Biological Evolution, Evolution, Molecular, Female, Fertility, Humans, Male, Models, Genetic, Mutation, Population Dynamics, Probability, Punishment, Reinforcement (Psychology), Selection, Genetic, Time
Pubmed
Web of science
Open Access
Yes
Create date
04/05/2011 16:01
Last modification date
20/08/2019 14:57
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