Bayesian estimation of recent migration rates after a spatial expansion

Hamilton, Grant S., Currat, Mathias, Ray, Nicolas, Heckel, Gerald, Beaumont, Mark, & Excoffier, Laurent (2005) Bayesian estimation of recent migration rates after a spatial expansion. Genetics, 170, pp. 409-417.

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Approximate Bayesian computation (ABC) is a highly flexible technique that allows the estimation of parameters under demographic models that are too complex to be handled by full-likelihood methods. We assess the utility of this method to estimate the parameters of range expansion in a two-dimensional stepping-stone model, using samples from either a single deme or multiple demes. A minor modification to the ABC procedure is introduced, which leads to an improvement in the accuracy of estimation. The method is then used to estimate the expansion time and migration rates for five natural common vole populations in Switzerland typed for a sex-linked marker and a nuclear marker. Estimates based on both markers suggest that expansion occurred <10,000 years ago, after the most recent glaciation, and that migration rates are strongly male biased.

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90 citations in Scopus
89 citations in Web of Science®
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ID Code: 8729
Item Type: Journal Article
Refereed: Yes
Additional Information: Articles free to read on journal website after 12 months
Additional URLs:
DOI: 10.1534/genetics.104.034199
ISSN: 0016-6731
Subjects: Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2005 Genetics Society of America
Deposited On: 23 Jul 2007 00:00
Last Modified: 29 Jan 2015 04:41

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