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    Home > Biochemistry News > Biotechnology News > Genome study reveals complex origins of Tibetan-Yi corridor inhabitants in China

    Genome study reveals complex origins of Tibetan-Yi corridor inhabitants in China

    • Last Update: 2022-05-14
    • Source: Internet
    • Author: User
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    The Tibet-Yi Corridor (TYC), named after the two main ethnic groups in the region, is located on the eastern edge of the Tibetan Plateau in southwest China and is considered an important area for ethnic migration and diversification


    Scientists have previously analyzed the genetic relationship of people in the region to Tibetans, who live mainly in the western part of the region, as well as the Han Chinese, the main ethnic group in China


    To better understand ethnic minorities in the TYC region, co-corresponding author Shengbin Li of Xi'an Jiaotong University in China spent 10 years collecting blood samples from more than 200 people from all 16 ethnic groups in the region


    "The steep mountains create a high level of ethnic diversity in the region and also make data collection extremely difficult," Li said


    The research team selected individuals from each ethnic group who had lived in a relatively fixed area for at least three generations


    Previous research has shown that the earliest settlers in the region came from the upper Yellow River region in northern Neolithic China, and the corridor's population gradually increased as settlers expanded southward


    "More research is needed to further understand the origin and movement of populations in the region, especially more comprehensive analyses that include not only genetics but also archaeological, cultural, linguistic and geographic evidence," said co-corresponding author of the study, Hong Kong said Shuaicheng Li of City University


    Next, the team hopes to study the gut microbiota of the TYC population



    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, Rasmus Nielsen, Shuai Cheng Li, Shengbin Li.




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