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PMID: 19955477 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Isolation with migration models for more than two populations.

Molecular biology and evolution ·Vol. 27 ·No. 4 ·2010-04-00 ·Pages 905-20

Hey J

Abstract

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.

MeSH Terms
Computer Simulation Emigration and Immigration Genetics, Population Models, Genetic Phylogeny
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Hey Jody
Department of Genetics, Rutgers University, USA. [email protected]
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Article Info
Journal
Molecular biology and evolution
Abbr.
Mol Biol Evol
ISSN
1537-1719
DOI
10.1093/molbev/msp296
Email
[email protected]
Published
2010-04-00
Epub
2009-00-02
Pages
905-20
Language
English
Region
United States
NLM ID
8501455
PMCID
PMC2877539
Subset
IM
Grants
NIGMS NIH HHS · R01 GM078204 · United States
NIGMS NIH HHS · GM078204 · United States
External Links
PubMed source DOI: 10.1093/molbev/msp296 PMC Full Text View journal details
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