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Effects of partial selfing on the equilibrium genetic variance, mutation load and inbreeding depression under stabilizing selectionuse asterix (*) to get italics
Diala Abu Awad and Denis RozePlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
2017
The mating system of a species is expected to have important effects on its genetic diversity. In this paper, we explore the effects of partial selfing on the equilibrium genetic variance Vg, mutation load L and inbreeding depression δ under stabilizing selection acting on a arbitrary number n of quantitative traits coded by biallelic loci with additive effects. Overall, our model predicts a decrease in the equilibrium genetic variance with increasing selfing rates; however, the relationship between self-fertilization and the variables of interest depends on the strength of associations between loci, and three different regimes are observed. When the U/n ratio is low (where U is the total mutation rate on selected traits) and effective recombination rates are sufficiently high, genetic associations between loci are negligible and the mutation load and inbreeding depression are well predicted by approximations based on single-locus models. For higher values of U/n and/or lower effective recombination, moderate genetic associations generated by epistasis tend to increase Vg, L and δ, this regime being well predicted by approximations including the effects of pairwise associations between loci. For yet higher values of U/n and/or lower effective recombination, a different regime is reached under which the maintenance of coadapted gene complexes reduces Vg, L and δ. Simulations indicate that the values of Vg, L and δ are little affected by assumptions regarding the number of possible alleles per locus.
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adaptive landscape, epistasis, evolutionary quantitative genetics, multilocus population genetics, self-fertilization
NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).
Evolutionary Theory, Population Genetics / Genomics, Quantitative Genetics, Reproduction and Sex
e.g. John Doe john@doe.com
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e.g. John Doe john@doe.com
2017-08-26 09:29:20
Aneil F. Agrawal