MultiWaverX: modeling latent sex-biased admixture history

Author:

Zhang Rui1,Ni Xumin2,Yuan Kai1,Pan Yuwen1,Xu Shuhua3456789ORCID

Affiliation:

1. Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences , Shanghai 200031, China

2. School of Mathematics and Statistics, Beijing Jiaotong University , Beijing, 100044, China

3. Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University , Shanghai 200032, China

4. State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Center for Evolutionary Biology, School of Life Sciences, Fudan University , Shanghai 200438, China

5. Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University , Shanghai 201203, China

6. Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences , Kunming 650223, China

7. Jiangsu Key Laboratory of Phylogenomics and Comparative Genomics, School of Life Sciences, Jiangsu Normal University , Xuzhou, 221116, China

8. Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University , Zhengzhou 450052, China

9. School of Life Science and Technology, ShanghaiTech University , Shanghai 201210, China

Abstract

Abstract Sex-biased gene flow has been common in the demographic history of modern humans. However, the lack of sophisticated methods for delineating the detailed sex-biased admixture process prevents insights into complex admixture history and thus our understanding of the evolutionary mechanisms of genetic diversity. Here, we present a novel algorithm, MultiWaverX, for modeling complex admixture history with sex-biased gene flow. Systematic simulations showed that MultiWaverX is a powerful tool for modeling complex admixture history and inferring sex-biased gene flow. Application of MultiWaverX to empirical data of 17 typical admixed populations in America, Central Asia, and the Middle East revealed sex-biased admixture histories that were largely consistent with the historical records. Notably, fine-scale admixture process reconstruction enabled us to recognize latent sex-biased gene flow in certain populations that would likely be overlooked by much of the routine analysis with commonly used methods. An outstanding example in the real world is the Kazakh population that experienced complex admixture with sex-biased gene flow but in which the overall signature has been canceled due to biased gene flow from an opposite direction.

Funder

National Natural Science Foundation of China

Strategic Priority Research Program

Chinese Academy of Sciences

UK Royal Society-Newton Advanced Fellowship

Shanghai Municipal Science and Technology Major Project

Fundamental Research Funds for the Central Universities

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

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