Document Detail


Isolation with migration models for more than two populations.
MedLine Citation:
PMID:  19955477     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Jody Hey
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2009-12-02
Journal Detail:
Title:  Molecular biology and evolution     Volume:  27     ISSN:  1537-1719     ISO Abbreviation:  Mol. Biol. Evol.     Publication Date:  2010 Apr 
Date Detail:
Created Date:  2010-03-17     Completed Date:  2010-05-12     Revised Date:  2013-05-31    
Medline Journal Info:
Nlm Unique ID:  8501455     Medline TA:  Mol Biol Evol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  905-20     Citation Subset:  IM    
Affiliation:
Department of Genetics, Rutgers University, USA. hey@biology.rutgers.edu
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MeSH Terms
Descriptor/Qualifier:
Computer Simulation
Emigration and Immigration
Genetics, Population*
Models, Genetic*
Phylogeny
Grant Support
ID/Acronym/Agency:
GM078204/GM/NIGMS NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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