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Lookup NU author(s): Dr Ian Wilson
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A simple population genetic model is presented for a hermaphrodite annual species, allowing both selfing and outcrossing. Those male gametes (pollen) responsible for outcrossing are assumed to disperse much further than seeds. Under this model, the pedigree of a sample from a single locality is loop-free. A novel Markov chain Monte Carlo strategy is presented for sampling from the joint posterior distribution of the pedigree of such a sample and the parameters of the population genetic model (including the selfing rate) given the genotypes of the sampled individuals at unlinked marker loci. The computational costs of this Markov chain Monte Carlo strategy scale well with the number of individuals in the sample, and the number of marker loci, but increase exponentially with the age (time since colonisation from the source population) of the local population. Consequently, this strategy is particularly suited to situations where the sample has been collected from a population which is the result of a recent colonisation process. © 2007 Elsevier Inc. All rights reserved.
Author(s): Wilson IJ, Dawson KJ
Publication type: Article
Publication status: Published
Journal: Theoretical Population Biology
Year: 2007
Volume: 72
Issue: 3
Pages: 436-458
ISSN (print): 0040-5809
ISSN (electronic): 1096-0325
Publisher: Academic Press
URL: http://dx.doi.org/10.1016/j.tpb.2007.03.002
DOI: 10.1016/j.tpb.2007.03.002
PubMed id: 17448511
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