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    Ancient hybridization and strong adaptation to viruses across African vervet monkey populations

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    Date Issued
    2017-12
    Publisher Version
    10.1038/ng.3980
    Author(s)
    Svardal, Hannes
    Jasinska, Anna J.
    Apetrei, Cristian
    Coppola, Giovanni
    Huang, Yu
    Schmitt, Christopher A.
    Jacquelin, Beatrice
    Ramensky, Vasily
    Müller-Trutwin, Michaela
    Antonio, Martin
    Weinstock, George
    Grobler, J. Paul
    Dewar, Ken
    Wilson, Richard K.
    Turner, Trudy R.
    Warren, Wesley C.
    Freimer, Nelson B.
    Nordborg, Magnus
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    Permanent Link
    https://hdl.handle.net/2144/28907
    Citation (published version)
    Hannes Svardal, Anna J Jasinska, Cristian Apetrei, Giovanni Coppola, Yu Huang, Christopher A Schmitt, Beatrice Jacquelin, Vasily Ramensky, Michaela Müller-Trutwin, Martin Antonio, George Weinstock, J Paul Grobler, Ken Dewar, Richard K Wilson, Trudy R Turner, Wesley C Warren, Nelson B Freimer, Magnus Nordborg. 2017. "Ancient hybridization and strong adaptation to viruses across African vervet monkey populations.." Nat Genet, Volume 49, Issue 12, pp. 1705 - 1713.
    Abstract
    Vervet monkeys are among the most widely distributed nonhuman primates, show considerable phenotypic diversity, and have long been an important biomedical model for a variety of human diseases and in vaccine research. Using whole-genome sequencing data from 163 vervets sampled from across Africa and the Caribbean, we find high diversity within and between taxa and clear evidence that taxonomic divergence was reticulate rather than following a simple branching pattern. A scan for diversifying selection across taxa identifies strong and highly polygenic selection signals affecting viral processes. Furthermore, selection scores are elevated in genes whose human orthologs interact with HIV and in genes that show a response to experimental simian immunodeficiency virus (SIV) infection in vervet monkeys but not in rhesus macaques, suggesting that part of the signal reflects taxon-specific adaptation to SIV.
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