Originally published as Genetics Published Articles Ahead of Print on November 19, 2005.

Genetics, Vol. 172, 1607-1619, March 2006, Copyright © 2006
doi:10.1534/genetics.105.048223

Approximate Bayesian Inference Reveals Evidence for a Recent, Severe Bottleneck in a Netherlands Population of Drosophila melanogaster

* Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853 and {dagger} Section of Ecology, Behavior and Evolution, University of California, San Diego, California 92093

1 Corresponding author: Department of Molecular Biology and Genetics, Cornell University, 227 Biotechnology Bldg., Ithaca, NY 14853.
E-mail: kt234{at}cornell.edu

Genome-wide nucleotide variation in non-African populations of Drosophila melanogaster is a subset of variation found in East sub-Saharan African populations, suggesting a bottleneck in the history of the former. We implement an approximate Bayesian approach to infer the timing, duration, and severity of this putative bottleneck and ask whether this inferred model is sufficient to account for patterns of variability observed at 115 loci scattered across the X chromosome. We estimate a recent bottleneck 0.006Ne generations ago, somewhat further in the past than suggested by biogeographical evidence. Using various proposed statistical tests, we find that this bottleneck model is able to predict the majority of observed features of diversity and linkage disequilibrium in the data. Thus, while precise estimates of bottleneck parameters (like inferences of selection) are sensitive to model assumptions, our results imply that it may be unnecessary to invoke frequent selective sweeps associated with the dispersal of D. melanogaster from Africa to explain patterns of variability in non-African populations.




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