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Isolation with Migration Models for More Than Two Populations
Open accessAbstract
A method for studying the divergence of multiple closely related populations is described and assessed. The approach of Hey and Nielsen (2007, Integration within the Felsenstein equation for improved Markov chain Monte Carlo methods in population genetics. Proc Natl Acad Sci USA. 104:2785-2790) for fitting an isolation-with-migration model was extended to the case of multiple populations with a known phylogeny. Analysis of simulated data sets reveals the kinds of history that are accessible with a multipopulation analysis. Necessarily, processes associated with older time periods in a phylogeny are more difficult to estimate; and histories with high levels of gene flow are particularly difficult with more than two populations. However, for histories with modest levels of gene flow, or for very large data sets, it is possible to study large complex divergence problems that involve multiple closely related populations or species.
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Dobzhansky, T. (1936) · Genetics · doi:10.1093/genetics/21.2.113 · Cited by 732
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Metadata
- Authors
- Hey, J.
- Venue
- Molecular Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-12-02
- Volume
- 27
- Issue
- 4
- Pages
- 905-920
- ISSN
- 0737-4038 (ISSN-L)
- 1537-1719
- OpenAlex
- W2142740946
- Cited by
- 894
- References
- 1
- FWCI
- 28.34
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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