dc.contributor.author |
Fortes-Lima, Cesar A.
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dc.contributor.author |
Burgarella, Concetta
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dc.contributor.author |
Hammarén, Rickard
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dc.contributor.author |
Eriksson, Anders
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dc.contributor.author |
Vicente, Mário
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dc.contributor.author |
Jolly, Cecile
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dc.contributor.author |
Semo, Armando
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dc.contributor.author |
Gunnink, Hilde
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dc.contributor.author |
Pacchiarotti, Sara
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dc.contributor.author |
Mundeke, Leon
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dc.contributor.author |
Matonda, Igor
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dc.contributor.author |
Muluwa, Joseph Koni
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dc.contributor.author |
Coutros, Peter
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dc.contributor.author |
Nyambe, Terry S.
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dc.contributor.author |
Cikomola, Justin Cirhuza
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dc.contributor.author |
Coetzee, Vinet
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dc.contributor.author |
De Castro, Minique
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dc.contributor.author |
Ebbesen, Peter
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dc.contributor.author |
Delanghe, Joris
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dc.contributor.author |
Stoneking, Mark
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dc.contributor.author |
Barham, Lawrence
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dc.contributor.author |
Lombard, Marlize
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dc.contributor.author |
Meyer, Anja
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dc.contributor.author |
Steyn, Maryna
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dc.contributor.author |
Malmström, Helena
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dc.contributor.author |
Rocha, Jorge
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dc.contributor.author |
Soodyall, Himla
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dc.contributor.author |
Pakendorf, Brigitte
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dc.contributor.author |
Bostoen, Koen
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dc.contributor.author |
Schlebusch, Carina M.
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dc.date.accessioned |
2024-01-22T13:52:38Z |
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dc.date.available |
2024-01-22T13:52:38Z |
|
dc.date.issued |
2024-01 |
|
dc.description |
DATA AVAILABILITY : SNP array genotype data of modern-day African populations and whole-genome data of aDNA individuals generated in this project were made available through the European Genome-Phenome Archive (EGA) data repository (EGA accessory nos. EGAS50000000006 and EGAS00001007519 for modern and aDNA, respectively). Controlled-access policies guided by participant consent agreements will be implemented by the AfricanNeo Data Access Committee (AfricanNeo DAC accessory no. EGAC00001003398). Authorized NIH DAC granted data access to C.M.S. for the controlled-access genetic data deposited in the NIH dbGAP repository (accession code phs001396.v1.p1 and project ID 19895). C.M.S. was granted data access to whole-genome sequencing data deposed by the H3Africa Consortium (EGA dataset accessory nos. EGAD00001004220, EGAD00001004316, EGAD00001004334, EGAD00001004393, EGAD00001004448, EGAD00001004505, EGAD00001004533, EGAD00001004557 and EGAD00001005076). Interactive map-based visualizations were created using the Python library bokeh v.3.0.0 and maps were provided by CartoDB (CARTO 2023), other base maps were provided by GoogleMaps (Google 2023) or created using Python libraries (plotly v.5.17.0 and shapely v.1.8.4); R packages (rworldmap v.1.3.6, plotmaps v.1.0, rEEMSplots and rEEMSplots2); and one inhouse vector map in MapInfo interchange format based on the WGS-84 projection. |
en_US |
dc.description |
CODE AVAILABILITY : Code and interactive plots used for plotting are available in two online repositories (GitHub https://github.com/Schlebusch-lab/Expansion_of_BSP_peer-reviewed_article and figshare https://doi.org/10.6084/m9.figshare.24107718). |
en_US |
dc.description |
SUPPLEMENTARY INFORMATION. Supplementary Methods, Notes 1–12, Figures 1–107, and references. |
en_US |
dc.description |
SUPPLEMENTARY TABLES. Supplementary Tables 1–15. |
en_US |
dc.description.abstract |
The expansion of people speaking Bantu languages is the most dramatic demographic event in Late Holocene Africa and fundamentally reshaped the linguistic, cultural and biological landscape of the continent. With a comprehensive genomic dataset, including newly generated data of modern-day and ancient DNA from previously unsampled regions in Africa, we contribute insights into this expansion that started 6,000–4,000 years ago in western Africa. We genotyped 1,763 participants, including 1,526 Bantu speakers from 147 populations across 14 African countries, and generated whole-genome sequences from 12 Late Iron Age individuals. We show that genetic diversity amongst Bantu-speaking populations declines with distance from western Africa, with current-day Zambia and the Democratic Republic of Congo as possible crossroads of interaction. Using spatially explicit methods and correlating genetic, linguistic and geographical data, we provide cross-disciplinary support for a serial-founder migration model. We further show that Bantu speakers received significant gene flow from local groups in regions they expanded into. Our genetic dataset provides an exhaustive modern-day African comparative dataset for ancient DNA studies and will be important to a wide range of disciplines from science and humanities, as well as to the medical sector studying human genetic variation and health in African and African-descendant populations. |
en_US |
dc.description.department |
Biochemistry |
en_US |
dc.description.department |
Genetics |
en_US |
dc.description.department |
Microbiology and Plant Pathology |
en_US |
dc.description.librarian |
hj2024 |
en_US |
dc.description.sdg |
None |
en_US |
dc.description.sponsorship |
Open access funding provided by Uppsala University. |
en_US |
dc.description.uri |
http://www.nature.com/nature |
en_US |
dc.identifier.citation |
Fortes-Lima, C.A., Burgarella, C., Hammarén, R. et al. The genetic legacy of the expansion of Bantu-speaking peoples in Africa. Nature 625, 540–547 (2024). https://doi.org/10.1038/s41586-023-06770-6. |
en_US |
dc.identifier.issn |
0028-0836 (print) |
|
dc.identifier.issn |
1476-4687 (online) |
|
dc.identifier.other |
10.1038/s41586-023-06770-6 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/94052 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
Nature Research |
en_US |
dc.rights |
© 2023, The Author(s). Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License. |
en_US |
dc.subject |
Bantu-speaking people |
en_US |
dc.subject |
Africa |
en_US |
dc.subject |
Human genetics |
en_US |
dc.title |
The genetic legacy of the expansion of Bantu-speaking peoples in Africa |
en_US |
dc.type |
Article |
en_US |