Genetic substructure and complex demographic history of South African Bantu speakers

South Eastern Bantu-speaking (SEB) groups constitute more than 80% of the population in South Africa. Despite clear linguistic and geographic diversity, the genetic differences between these groups have not been systematically investigated. Based on genome-wide data of over 5000 individuals, represe...

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Veröffentlicht in:Nature communications 2021-04, Vol.12 (1), p.2080-13, Article 2080
Hauptverfasser: Sengupta, Dhriti, Choudhury, Ananyo, Fortes-Lima, Cesar, Aron, Shaun, Whitelaw, Gavin, Bostoen, Koen, Gunnink, Hilde, Chousou-Polydouri, Natalia, Delius, Peter, Tollman, Stephen, Gómez-Olivé, F. Xavier, Norris, Shane, Mashinya, Felistas, Alberts, Marianne, Hazelhurst, Scott, Schlebusch, Carina M., Ramsay, Michèle
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Sprache:eng
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Zusammenfassung:South Eastern Bantu-speaking (SEB) groups constitute more than 80% of the population in South Africa. Despite clear linguistic and geographic diversity, the genetic differences between these groups have not been systematically investigated. Based on genome-wide data of over 5000 individuals, representing eight major SEB groups, we provide strong evidence for fine-scale population structure that broadly aligns with geographic distribution and is also congruent with linguistic phylogeny (separation of Nguni, Sotho-Tswana and Tsonga speakers). Although differential Khoe-San admixture plays a key role, the structure persists after Khoe-San ancestry-masking. The timing of admixture, levels of sex-biased gene flow and population size dynamics also highlight differences in the demographic histories of individual groups. The comparisons with five Iron Age farmer genomes further support genetic continuity over ~400 years in certain regions of the country. Simulated trait genome-wide association studies further show that the observed population structure could have major implications for biomedical genomics research in South Africa. Despite linguistic and geographic diversity in South Eastern Bantu-speaking (SEB) groups of South Africa, genetic variation in these groups has not been investigated in depth. Here, the authors analyse genome-wide data from 5056 individuals, providing insights into demographic history across SEB groups.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-021-22207-y