Joint evolution of dispersal and inbreeding load.

Details

Serval ID
serval:BIB_9DC4EE9BF676
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Joint evolution of dispersal and inbreeding load.
Journal
Genetics
Author(s)
Guillaume F., Perrin N.
ISSN
0016-6731[print], 0016-6731[linking]
Publication state
Published
Issued date
05/2006
Peer-reviewed
Oui
Volume
173
Number
1
Pages
497-509
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Inbreeding avoidance is often invoked to explain observed patterns of dispersal, and theoretical models indeed point to a possibly important role. However, while inbreeding load is usually assumed constant in these models, it is actually bound to vary dynamically under the combined influences of mutation, drift, and selection and thus to evolve jointly with dispersal. Here we report the results of individual-based stochastic simulations allowing such a joint evolution. We show that strongly deleterious mutations should play no significant role, owing to the low genomic mutation rate for such mutations. Mildly deleterious mutations, by contrast, may create enough heterosis to affect the evolution of dispersal as an inbreeding-avoidance mechanism, but only provided that they are also strongly recessive. If slightly recessive, they will spread among demes and accumulate at the metapopulation level, thus contributing to mutational load, but not to heterosis. The resulting loss of viability may then combine with demographic stochasticity to promote population fluctuations, which foster indirect incentives for dispersal. Our simulations suggest that, under biologically realistic parameter values, deleterious mutations have a limited impact on the evolution of dispersal, which on average exceeds by only one-third the values expected from kin-competition avoidance.
Keywords
Animals, Demography, Evolution, Molecular, Female, Inbreeding, Male, Models, Genetic, Mutation/genetics, Stochastic Processes, Time Factors
Pubmed
Web of science
Open Access
Yes
Create date
24/01/2008 18:54
Last modification date
20/08/2019 16:04
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