Nature Communications (Dec 2023)
Structural variants involved in high-altitude adaptation detected using single-molecule long-read sequencing
- Jinlong Shi,
- Zhilong Jia,
- Jinxiu Sun,
- Xiaoreng Wang,
- Xiaojing Zhao,
- Chenghui Zhao,
- Fan Liang,
- Xinyu Song,
- Jiawei Guan,
- Xue Jia,
- Jing Yang,
- Qi Chen,
- Kang Yu,
- Qian Jia,
- Jing Wu,
- Depeng Wang,
- Yuhui Xiao,
- Xiaoman Xu,
- Yinzhe Liu,
- Shijing Wu,
- Qin Zhong,
- Jue Wu,
- Saijia Cui,
- Xiaochen Bo,
- Zhenzhou Wu,
- Minsung Park,
- Manolis Kellis,
- Kunlun He
Affiliations
- Jinlong Shi
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital
- Zhilong Jia
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital
- Jinxiu Sun
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital
- Xiaoreng Wang
- Laboratory of Nuclear and Radiation Injury, Medical Innovation Research Division of Chinese PLA General Hospital
- Xiaojing Zhao
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Chinese PLA General Hospital
- Chenghui Zhao
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital
- Fan Liang
- NextOmics Biosciences Inc
- Xinyu Song
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital
- Jiawei Guan
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital
- Xue Jia
- Laboratory of Nuclear and Radiation Injury, Medical Innovation Research Division of Chinese PLA General Hospital
- Jing Yang
- Laboratory of Nuclear and Radiation Injury, Medical Innovation Research Division of Chinese PLA General Hospital
- Qi Chen
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital
- Kang Yu
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital
- Qian Jia
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital
- Jing Wu
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital
- Depeng Wang
- NextOmics Biosciences Inc
- Yuhui Xiao
- NextOmics Biosciences Inc
- Xiaoman Xu
- NextOmics Biosciences Inc
- Yinzhe Liu
- NextOmics Biosciences Inc
- Shijing Wu
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital
- Qin Zhong
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital
- Jue Wu
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital
- Saijia Cui
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Chinese PLA General Hospital
- Xiaochen Bo
- Beijing Institute of Radiation Medicine
- Zhenzhou Wu
- BioMind Inc
- Minsung Park
- NextOmics Biosciences Inc
- Manolis Kellis
- Massachusetts Institute of Technology; MIT Computer Science and Artificial Intelligence Laboratory, Broad Institute of MIT and Harvard
- Kunlun He
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital
- DOI
- https://doi.org/10.1038/s41467-023-44034-z
- Journal volume & issue
-
Vol. 14,
no. 1
pp. 1 – 15
Abstract
Abstract Structural variants (SVs), accounting for a larger fraction of the genome than SNPs/InDels, are an important pool of genetic variation, enabling environmental adaptations. Here, we perform long-read sequencing data of 320 Tibetan and Han samples and show that SVs are highly involved in high-altitude adaptation. We expand the landscape of global SVs, apply robust models of selection and population differentiation combining SVs, SNPs and InDels, and use epigenomic analyses to predict enhancers, target genes and biological functions. We reveal diverse Tibetan-specific SVs affecting the regulatory circuitry of biological functions, including the hypoxia response, energy metabolism and pulmonary function. We find a Tibetan-specific deletion disrupts a super-enhancer and downregulates EPAS1 using enhancer reporter, cellular knock-out and DNA pull-down assays. Our study expands the global SV landscape, reveals the role of gene-regulatory circuitry rewiring in human adaptation, and illustrates the diverse functional roles of SVs in human biology.