Molecular Biology and Evolution, Vol 9, 138-151, Copyright © 1992 by Society for Molecular Biology and Evolution
RR Hudson, DD Boos and NL Kaplan
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.
ORIGINAL ARTICLE
A statistical test for detecting geographic subdivision
Department of Ecology and Evolutionary Biology, University of California, Irvine 92717.
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