| Literature DB >> 20223855 |
Jacob E Crawford, Brian P Lazzaro.
Abstract
Anopheles gambiae is a primary vector of Plasmodium falciparum, a human malaria parasite that causes over a million deaths each year in sub-Saharan Africa. Population genetic tests have been employed to detect natural selection at suspected A. gambiae antimalaria genes, but these tests have generally been compromised by the lack of demographically correct null models. Here, we used a coalescent simulation approach within a maximum likelihood framework to fit population growth, bottleneck, and migration models to polymorphism data from Cameroonian A. gambiae. The best-fit models for both the "M" and the "S" molecular forms of A. gambiae included ancient population growth and a high rate of migration from an unsampled subpopulation. After correcting for differences in effective population size, our models suggest that the molecular forms expanded at different times and both expansions significantly predate the advent of agriculture. We show that correcting null models for demography increases the power to detect natural selection in A. gambiae.Entities:
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Year: 2010 PMID: 20223855 PMCID: PMC2915640 DOI: 10.1093/molbev/msq070
Source DB: PubMed Journal: Mol Biol Evol ISSN: 0737-4038 Impact factor: 16.240