Identification of a Locus Under Complex Positive Selection in Drosophila simulans by Haplotype Mapping and Composite-Likelihood Estimation

Author:

Meiklejohn Colin D1,Kim Yuseob2,Hartl Daniel L1,Parsch John3

Affiliation:

1. Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138

2. Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14853

3. Department of Biology II, Section of Evolutionary Biology, University of Munich (LMU), 80333 Munich, Germany

Abstract

Abstract The recent action of positive selection is expected to influence patterns of intraspecific DNA sequence variation in chromosomal regions linked to the selected locus. These effects include decreased polymorphism, increased linkage disequilibrium, and an increased frequency of derived variants. These effects are all expected to dissipate with distance from the selected locus due to recombination. Therefore, in regions of high recombination, it should be possible to localize a target of selection to a relatively small interval. Previously described patterns of intraspecific variation in three tandemly arranged, testes-expressed genes (janusA, janusB, and ocnus) in Drosophila simulans included all three of these features. Here we expand the original sample and also survey nucleotide polymorphism at three neighboring loci. On the basis of recombination events between derived and ancestral alleles, we localize the target of selection to a 1.5-kb region surrounding janusB. A composite-likelihood-ratio test based on the spatial distribution and frequency of derived polymorphic variants corroborates this result and provides an estimate of the strength of selection. However, the data are difficult to reconcile with the simplest model of positive selection, whereas a new composite-likelihood method suggests that the data are better described by a model in which the selected allele has not yet gone to fixation.

Publisher

Oxford University Press (OUP)

Subject

Genetics

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