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The genomic landscape of Neanderthal ancestry in present-day humans

Author

Listed:
  • Sriram Sankararaman

    (Harvard Medical School
    Broad Institute of Harvard and MIT)

  • Swapan Mallick

    (Harvard Medical School
    Broad Institute of Harvard and MIT)

  • Michael Dannemann

    (Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany)

  • Kay Prüfer

    (Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany)

  • Janet Kelso

    (Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany)

  • Svante Pääbo

    (Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany)

  • Nick Patterson

    (Harvard Medical School
    Broad Institute of Harvard and MIT)

  • David Reich

    (Harvard Medical School
    Broad Institute of Harvard and MIT
    Howard Hughes Medical Institute, Harvard Medical School)

Abstract

In the modern human genome, elevated Neanderthal ancestry is found at genes affecting keratin filaments, suggesting that gene flow with Neanderthals helped modern humans to adapt to non-African environments; deficiencies of Neanderthal ancestry are also found, particularly on the X chromosome and in genes expressed highly in testes, suggesting that some Neanderthal mutations were not tolerated on a modern human genetic background as they reduced male fertility.

Suggested Citation

  • Sriram Sankararaman & Swapan Mallick & Michael Dannemann & Kay Prüfer & Janet Kelso & Svante Pääbo & Nick Patterson & David Reich, 2014. "The genomic landscape of Neanderthal ancestry in present-day humans," Nature, Nature, vol. 507(7492), pages 354-357, March.
    • Handle: RePEc:nat:nature:v:507:y:2014:i:7492:d:10.1038_nature12961
    DOI: 10.1038/nature12961
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    Cited by:

    1. Leonardo Vallini & Carlo Zampieri & Mohamed Javad Shoaee & Eugenio Bortolini & Giulia Marciani & Serena Aneli & Telmo Pievani & Stefano Benazzi & Alberto Barausse & Massimo Mezzavilla & Michael D. Pet, 2024. "The Persian plateau served as hub for Homo sapiens after the main out of Africa dispersal," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Kai Yuan & Xumin Ni & Chang Liu & Yuwen Pan & Lian Deng & Rui Zhang & Yang Gao & Xueling Ge & Jiaojiao Liu & Xixian Ma & Haiyi Lou & Taoyang Wu & Shuhua Xu, 2021. "Refining models of archaic admixture in Eurasia with ArchaicSeeker 2.0," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    3. Mark S Hibbins & Matthew W Hahn, 2021. "The effects of introgression across thousands of quantitative traits revealed by gene expression in wild tomatoes," PLOS Genetics, Public Library of Science, vol. 17(11), pages 1-20, November.
    4. Russell Corbett-Detig & Rasmus Nielsen, 2017. "A Hidden Markov Model Approach for Simultaneously Estimating Local Ancestry and Admixture Time Using Next Generation Sequence Data in Samples of Arbitrary Ploidy," PLOS Genetics, Public Library of Science, vol. 13(1), pages 1-40, January.

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