Deep phenotyping of 11,880 highlanders reveals novel adaptive traits in native Tibetans

Bibliographic Details
Title: Deep phenotyping of 11,880 highlanders reveals novel adaptive traits in native Tibetans
Authors: Yaoxi He, Wangshan Zheng, Yongbo Guo, Tian Yue, Chaoying Cui, Ouzhuluobu, Hui Zhang, Kai Liu, Zhaohui Yang, Tianyi Wu, Jia Qu, Zi-Bing Jin, Jian Yang, Fan Lu, Xuebin Qi, Bing Su
Source: iScience, Vol 26, Iss 9, Pp 107677- (2023)
Publisher Information: Elsevier, 2023.
Publication Year: 2023
Collection: LCC:Science
Subject Terms: Human physiology, Physiology, Anthropology, Science
More Details: Summary: Tibetans are the ideal population to study genetic adaptation in extreme environments. Here, we performed systematic phenotyping of 11,880 highlanders, covering 133 quantitative traits of 13 organ systems. We provided a comprehensive phenotypic atlas by comparing altitude adaptation and altitude acclimatization. We found the differences between adaptation and acclimatization are quantitative rather than qualitative, with a whole-system “blunted effect” seen in the adapted Tibetans. We characterized twelve different functional changes between adaptation and acclimatization. More importantly, we established a landscape of adaptive phenotypes of indigenous Tibetans, including 45 newly identified Tibetan adaptation-nominated traits, involving specific changes of Tibetans in internal organ state, metabolism, eye morphology, and skin pigmentation. In addition, we observed a sex-biased pattern between altitude acclimatization and adaptation. The generated atlas of phenotypic landscape provides new insights into understanding of human adaptation to high-altitude environments, and it serves as a valuable blueprint for future medical and physiological studies.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2589-0042
Relation: http://www.sciencedirect.com/science/article/pii/S2589004223017546; https://doaj.org/toc/2589-0042
DOI: 10.1016/j.isci.2023.107677
Access URL: https://doaj.org/article/5cd7877ad75d47378e1d144baceb7e8a
Accession Number: edsdoj.5cd7877ad75d47378e1d144baceb7e8a
Database: Directory of Open Access Journals
More Details
ISSN:25890042
DOI:10.1016/j.isci.2023.107677
Published in:iScience
Language:English