A Bayesian method for the joint estimation of outcrossing rate and inbreeding
depression |
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Authors: | V A Koelling P J Monnahan J K Kelly |
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Institution: | 1.Department of Ecology and Evolutionary
Biology, University of Kansas, Lawrence, KS, USA |
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Abstract: | The population outcrossing rate (t) and adult inbreeding coefficient
(F) are key parameters in mating system evolution. The magnitude of inbreeding
depression as expressed in the field can be estimated given t and F via
the method of Ritland (1990). For a given total sample
size, the optimal design for the joint estimation of t and F requires
sampling large numbers of families (100–400) with fewer offspring (1–4) per
family. Unfortunately, the standard inference procedure (MLTR) yields significantly biased
estimates for t and F when family sizes are small and maternal genotypes
are unknown (a common occurrence when sampling natural populations). Here, we present a
Bayesian method implemented in the program BORICE (Bayesian Outcrossing Rate and
Inbreeding Coefficient Estimation) that effectively estimates t and F
when family sizes are small and maternal genotype information is lacking. BORICE should
enable wider use of the Ritland approach for field-based estimates of inbreeding
depression. As proof of concept, we estimate t and F in a natural
population of Mimulus guttatus. In addition, we describe how individual maternal
inbreeding histories inferred by BORICE may prove useful in studies of inbreeding and its
consequences. |
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Keywords: | outcrossing rate inbreeding coefficient mating system inbreeding depression MLTR Mimulus |
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