The Tibetan-Yi region is both a corridor and a barrier for human gene flow

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Dokumenter

  • Fulltext

    Forlagets udgivne version, 15,7 MB, PDF-dokument

  • Zhe Zhang
  • Yanlin Zhang
  • Yinan Wang
  • Zicheng Zhao
  • Melinda Yang
  • Lin Zhang
  • Bin Zhou
  • Bingying Xu
  • Hongbo Zhang
  • Teng Chen
  • Wenkui Dai
  • Yong Zhou
  • Shuo Shi
  • Nielsen, Rasmus
  • Shuai Cheng Li
  • Shengbin Li

The Tibetan-Yi Corridor (TYC) region between Tibet and the rest of east Asia has served as a crossroads for human migrations for thousands of years. The lack of whole-genome sequencing data specific to the TYC populations has hindered the understanding of the fundamental patterns of migration and divergence between humans in east Asia and southeast Asia. Here, we provide 248 individual whole genomes from the 16 TYC and 3 outgroup populations to elucidate historical relationships. We find that the Tibetan plateau forms an important barrier to gene flow, with a more Tibetan-like ancestry in northern populations and a southern east Asian-related ancestry in south populations. An isolated population, Achang, shows a prolonged isolation and genetic drift compared to other TYC populations. We also note that previous claims regarding the history and structure of TYC populations inferred by linguistics are incompatible with the genetic evidence.

OriginalsprogEngelsk
Artikelnummer110720
TidsskriftCell Reports
Vol/bind39
Udgave nummer4
Antal sider16
ISSN2211-1247
DOI
StatusUdgivet - 2022
Eksternt udgivetJa

Bibliografisk note

Funding Information:
The results published here are wholly or in part based upon data generated by the Tibetan-Yi Corridor Project. It was fully supported by a grant of Xi’an Jiaotong University , P.R. China, to Shengbin Li. (no. 2013FY114300 ). We would also like to thank Dr. Jun Yu for valuable comments and critical reading of the manuscript. Finally, we wish to thank the participants and their families for their contributions to valuable data, without which this project would not have been possible.

Publisher Copyright:
© 2022 The Author(s)

ID: 341479747