genome patterns of selection and introgression of haplotypes in natural populations of the house mouse (mus musculus)基因组的模式选择和自然种群的基因渗入的单体型家鼠(亩骶).pdfVIP

genome patterns of selection and introgression of haplotypes in natural populations of the house mouse (mus musculus)基因组的模式选择和自然种群的基因渗入的单体型家鼠(亩骶).pdf

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genome patterns of selection and introgression of haplotypes in natural populations of the house mouse (mus musculus)基因组的模式选择和自然种群的基因渗入的单体型家鼠(亩骶)

Genome Patterns of Selection and Introgression of Haplotypes in Natural Populations of the House Mouse (Mus musculus) 1,2 1 2 3 2 1 Fabian Staubach , Anna Lorenc , Philipp W. Messer , Kun Tang , Dmitri A. Petrov , Diethard Tautz * ¨ 1 Max Planck Institute for Evolutionary Biology, Plon, Germany, 2 Department of Biology, Stanford University, Stanford, California, United States of America, 3 CAS-MPG Partner Institute and Key Laboratory for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China Abstract General parameters of selection, such as the frequency and strength of positive selection in natural populations or the role of introgression, are still insufficiently understood. The house mouse (Mus musculus) is a particularly well-suited model system to approach such questions, since it has a defined history of splits into subspecies and populations and since extensive genome information is available. We have used high-density single-nucleotide polymorphism (SNP) typing arrays to assess genomic patterns of positive selection and introgression of alleles in two natural populations of each of the subspecies M. m. domesticus and M. m. musculus. Applying different statistical procedures, we find a large number of regions subject to apparent selective sweeps, indicating frequent positive selection on rare alleles or novel mutations. Genes in the regions include well-studied imprinted loci (e.g. Plagl1/Zac1), homologues of human genes involved in adaptations (e.g. alpha-amylase genes) or in genetic diseases (e.g. Huntingtin and Parkin).

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