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PMID: 1552836 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

A statistical test for detecting geographic subdivision.

Molecular biology and evolution ·Vol. 9 ·No. 1 ·1992-01-00 ·Pages 138-51

Hudson RR, Boos DD, Kaplan NL

Abstract

A statistical test for detecting genetic differentiation of subpopulations is described that uses molecular variation in samples of DNA sequences from two or more localities. The statistical significance of the test is determined with Monte Carlo simulations. The power of the test to detect genetic differentiation in a selectively neutral Wright-Fisher island model depends on both sample size and the rates of migration, mutation, and recombination. It is found that the power of the test is substantial with samples of size 50, when 4Nm less than 10, where N is the subpopulation size and m is the fraction of migrants in each subpopulation each generation. More powerful tests are obtained with genes with recombination than with genes without recombination.

Related Genes
Adh
MeSH Terms
Alcohol Dehydrogenase/genetics Animals Biological Evolution Drosophila melanogaster/genetics Genetic Variation Genetics, Population Geography Models, Genetic Monte Carlo Method Mutation Recombination, Genetic X Chromosome
Chemicals
Alcohol Dehydrogenase
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Hudson R R
Department of Ecology and Evolutionary Biology, University of California, Irvine 92717.
Boos D D
Kaplan N L
Article Info
Journal
Molecular biology and evolution
Abbr.
Mol Biol Evol
ISSN
0737-4038
Published
1992-01-00
Pages
138-51
Language
English
Region
United States
NLM ID
8501455
Subset
IM
Grants
NIGMS NIH HHS · GM42447 · United States
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