Predicting the deleterious effects of mutation load in fragmented populations.

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Version: author
Serval ID
serval:BIB_BEB2B3910EDE
Type
Article: article from journal or magazin.
Collection
Publications
Title
Predicting the deleterious effects of mutation load in fragmented populations.
Journal
Conservation Biology
Author(s)
Jaquiéry J., Guillaume F., Perrin N.
ISSN
1523-1739[electronic], 0888-8892[linking]
Publication state
Published
Issued date
2009
Peer-reviewed
Oui
Volume
23
Number
1
Pages
207-218
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Human-induced habitat fragmentation constitutes a major threat to biodiversity. Both genetic and demographic factors combine to drive small and isolated populations into extinction vortices. Nevertheless, the deleterious effects of inbreeding and drift load may depend on population structure, migration patterns, and mating systems and are difficult to predict in the absence of crossing experiments. We performed stochastic individual-based simulations aimed at predicting the effects of deleterious mutations on population fitness (offspring viability and median time to extinction) under a variety of settings (landscape configurations, migration models, and mating systems) on the basis of easy-to-collect demographic and genetic information. Pooling all simulations, a large part (70%) of variance in offspring viability was explained by a combination of genetic structure (F(ST)) and within-deme heterozygosity (H(S)). A similar part of variance in median time to extinction was explained by a combination of local population size (N) and heterozygosity (H(S)). In both cases the predictive power increased above 80% when information on mating systems was available. These results provide robust predictive models to evaluate the viability prospects of fragmented populations.
Keywords
Biodiversity, Computer Simulation, Ecosystem, Extinction, Biological, Genetics, Population, Models, Genetic, Mutation/genetics, Population Density, Population Dynamics, Reproduction/physiology, Time Factors
Pubmed
Web of science
Open Access
Yes
Create date
16/05/2008 8:22
Last modification date
20/08/2019 16:33
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