Maximum-likelihood methods for detecting recent positive selection and localizing the selected site in the genome.
Two maximum-likelihood methods are proposed for detecting recent, strongly positive selection and for localizing the target of selection along a recombining chromosome. The methods utilize the compact mutation frequency spectrum at multiple neutral loci that are partially linked to the selected site. Using simulated data, we show that the power of the tests lies between 80 and 98% in most cases, and the false positive rate could be as low as approximately 10% when the number of sampled marker loci is sufficiently large (> or = 20). The confidence interval around the estimated position of selection is reasonably narrow. The methods are applied to X chromosome data of Drosophila melanogaster from a European and an African population. Evidence of selection was found for both populations (including a selective sweep that was shared between both populations).
Li
Haipeng
H
Section of Evolutionary Biology, Department of Biology II, University of Munich, 82152 Planegg-Martinsried, Germany. li@zi.biologie.uni-muenchen.de
Stephan
Wolfgang
W
D000349:Africa; D000465:Algorithms; D000818:Animals; D004331:Drosophila melanogaster / Q000235:genetics; D005060:Europe; D005787:Gene Frequency; D005828:Genetics, Population; D016678:Genome / Q000235:genetics*; D016013:Likelihood Functions; D009154:Mutation; D011157:Population Dynamics; D012641:Selection, Genetic; D017422:Sequence Analysis, DNA / Q000379:methods; D013045:Species Specificity; D013997:Time Factors