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Genetic substructure and complex demographic history of South African Bantu speakers

Genetic substructure and complex demographic history of South African Bantu speakers
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, 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.

2041-1723
Sengupta, Dhriti
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Choudhury, Ananyo
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Fortes-Lima, Cesar
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Aron, Shaun
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Whitelaw, Gavin
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Bostoen, Koen
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Gunnink, Hilde
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Chousou-Polydouri, Natalia
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Delius, Peter
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Tollman, Stephen
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Gómez-Olivé, F. Xavier
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Norris, Shane
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Mashinya, Felistas
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Alberts, Marianne
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Hazelhurst, Scott
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Schlebusch, Carina M.
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Ramsay, Michèle
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AWI-Gen Study
H3Africa Consortium
Sengupta, Dhriti
698f82dc-9f62-4ea1-b716-7ee02ebc53ab
Choudhury, Ananyo
f9eee613-a754-439b-a028-fdd7ebca55e5
Fortes-Lima, Cesar
2a2edde3-46e3-4be8-a609-bdbc42f6253a
Aron, Shaun
989b1079-c022-42e2-87ac-e0fd3b83b684
Whitelaw, Gavin
09919476-959a-4c5b-80ec-9ba7bd34665e
Bostoen, Koen
18cabdbf-1c49-4f33-a6e3-4da28c55c32a
Gunnink, Hilde
a511d727-f594-4641-893e-43a1308b3037
Chousou-Polydouri, Natalia
7220b0bb-3d3e-4ae4-8f02-14a4f32894cb
Delius, Peter
a1fdbda4-8590-461e-98c4-b9b3f27fe55a
Tollman, Stephen
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Gómez-Olivé, F. Xavier
4d518042-0358-44e3-b4cb-ddf482a86a49
Norris, Shane
1d346f1b-6d5f-4bca-ac87-7589851b75a4
Mashinya, Felistas
3ae5087d-b601-4602-890f-e8ea586fdaad
Alberts, Marianne
0081268a-e11f-4845-942f-1d73ec785983
Hazelhurst, Scott
329cfaab-4b17-4b64-bdba-da4d916777ec
Schlebusch, Carina M.
7eb7b66b-3fe6-42d3-8b34-354e2b8dbacb
Ramsay, Michèle
75c868d6-bac7-4db2-b611-d498ab0d12fc

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. and Ramsay, Michèle , AWI-Gen Study and H3Africa Consortium (2021) Genetic substructure and complex demographic history of South African Bantu speakers. Nature Communications, 12 (1), [2080]. (doi:10.1038/s41467-021-22207-y).

Record type: Article

Abstract

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.

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s41467-021-22207-y (1) - Version of Record
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Accepted/In Press date: 10 February 2021
Published date: 7 April 2021

Identifiers

Local EPrints ID: 494698
URI: http://eprints.soton.ac.uk/id/eprint/494698
ISSN: 2041-1723
PURE UUID: 2ac5aab3-9d66-4176-b936-2ad63c582cb9
ORCID for Shane Norris: ORCID iD orcid.org/0000-0001-7124-3788

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Date deposited: 14 Oct 2024 16:42
Last modified: 15 Oct 2024 01:57

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Contributors

Author: Dhriti Sengupta
Author: Ananyo Choudhury
Author: Cesar Fortes-Lima
Author: Shaun Aron
Author: Gavin Whitelaw
Author: Koen Bostoen
Author: Hilde Gunnink
Author: Natalia Chousou-Polydouri
Author: Peter Delius
Author: Stephen Tollman
Author: F. Xavier Gómez-Olivé
Author: Shane Norris ORCID iD
Author: Felistas Mashinya
Author: Marianne Alberts
Author: Scott Hazelhurst
Author: Carina M. Schlebusch
Author: Michèle Ramsay
Corporate Author: AWI-Gen Study
Corporate Author: H3Africa Consortium

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