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Neandertal ancestry through time: Insights from genomes of ancient and present-day humans.
Iasi, Leonardo N M; Chintalapati, Manjusha; Skov, Laurits; Mesa, Alba Bossoms; Hajdinjak, Mateja; Peter, Benjamin M; Moorjani, Priya.
Afiliação
  • Iasi LNM; Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany.
  • Chintalapati M; Department of Molecular and Cell Biology, University of California Berkeley; Berkeley, CA 94720, USA.
  • Skov L; Department of Molecular and Cell Biology, University of California Berkeley; Berkeley, CA 94720, USA.
  • Mesa AB; Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany.
  • Hajdinjak M; Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany.
  • Peter BM; The Francis Crick Institute; London, NW1 1AT, UK.
  • Moorjani P; Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany.
bioRxiv ; 2024 May 13.
Article em En | MEDLINE | ID: mdl-38798350
ABSTRACT
Gene flow from Neandertals has shaped the landscape of genetic and phenotypic variation in modern humans. We identify the location and size of introgressed Neandertal ancestry segments in more than 300 genomes spanning the last 50,000 years. We study how Neandertal ancestry is shared among individuals to infer the time and duration of the Neandertal gene flow. We find the correlation of Neandertal segment locations across individuals and their divergence to sequenced Neandertals, both support a model of single major Neandertal gene flow. Our catalog of introgressed segments through time confirms that most natural selection-positive and negative-on Neandertal ancestry variants occurred immediately after the gene flow, and provides new insights into how the contact with Neandertals shaped human origins and adaptation.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article