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Mol. Biol. Evol. 19(11):19811990. 2002 2002 by the Society for Molecular Biology and Evolution. ISSN: 0737-4038

Summary: 1981
Mol. Biol. Evol. 19(11):19811990. 2002
2002 by the Society for Molecular Biology and Evolution. ISSN: 0737-4038
Genetic Evidence for Long-Term Population Decline in a Savannah-
Dwelling Primate: Inferences from a Hierarchical Bayesian Model
Jay F. Storz,* Mark A. Beaumont, and Susan C. Alberts
*Department of Ecology and Evolutionary Biology, University of Arizona; School of Animal and Microbial Sciences,
University of Reading, Whiteknights, Reading, United Kingdom; and Department of Biology, Duke University, Durham,
North Carolina
The purpose of this study was to test for evidence that savannah baboons (Papio cynocephalus) underwent a
population expansion in concert with a hypothesized expansion of African human and chimpanzee populations
during the late Pleistocene. The rationale is that any type of environmental event sufficient to cause simultaneous
population expansions in African humans and chimpanzees would also be expected to affect other codistributed
mammals. To test for genetic evidence of population expansion or contraction, we performed a coalescent analysis
of multilocus microsatellite data using a hierarchical Bayesian model. Markov chain Monte Carlo (MCMC) simu-
lations were used to estimate the posterior probability density of demographic and genealogical parameters. The
model was designed to allow interlocus variation in mutational and demographic parameters, which made it possible
to detect aberrant patterns of variation at individual loci that could result from heterogeneity in mutational dynamics
or from the effects of selection at linked sites. Results of the MCMC simulations were consistent with zero variance
in demographic parameters among loci, but there was evidence for a 10- to 20-fold difference in mutation rate


Source: Alberts, Susan C - Department of Biology, Duke University
Storz, Jay F. - School of Biological Sciences, University of Nebraska-Lincoln


Collections: Biology and Medicine; Environmental Sciences and Ecology