Isolation with Migration Models for More Than Two Populations | Zendy

Jody Hey | Zendy

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Isolation with Migration Models for More Than Two Populations

Author(s) -

Jody Hey

Publication year - 2009

Publication title -

molecular biology and evolution

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 6.637

H-Index - 218

eISSN - 1537-1719

pISSN - 0737-4038

DOI - 10.1093/molbev/msp296

Subject(s) - biology , gene flow , divergence (linguistics) , evolutionary biology , phylogenetics , isolation (microbiology) , markov chain monte carlo , markov chain , population , demographic history , population genetics , reproductive isolation , gene , genetics , statistics , monte carlo method , bioinformatics , demography , mathematics , genetic variation , linguistics , philosophy , sociology

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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