2024-03-28T12:07:16Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/2113712021-12-28T15:32:33Zcom_10261_9676com_10261_8col_10261_9677
Whole-genome sequence analysis of a Pan African set of samples reveals archaic gene flow from an extinct basal population of modern humans into sub-Saharan populations
Lorente-Galdós, Belén
Lao, Oscar
Serra-Vidal, Gerard
Santpere, Gabriel
Kuderna, Lukas F. K.
Arauna, Laura R.
Fadhlaoui-Zid, Karima
Pimenoff, Ville N.
Soodyall, Himle
Zalloua, Pierre
Marqués-Bonet, Tomàs
Comas, David
Ministerio de Economía y Competitividad (España)
European Commission
Generalitat de Catalunya
Instituto de Salud Carlos III
Otto A. Malm Foundation
Fundación "la Caixa"
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Human population genetics
Genome diversity
Whole-genome sequences
Africa
Archaic introgression
[Background] Population demography and gene flow among African groups, as well as the putative archaic introgression of ancient hominins, have been poorly explored at the genome level.
[Results] Here, we examine 15 African populations covering all major continental linguistic groups, ecosystems, and lifestyles within Africa through analysis of whole-genome sequence data of 21 individuals sequenced at deep coverage. We observe a remarkable correlation among genetic diversity and geographic distance, with the hunter-gatherer groups being more genetically differentiated and having larger effective population sizes throughout most modern-human history. Admixture signals are found between neighbor populations from both hunter-gatherer and agriculturalists groups, whereas North African individuals are closely related to Eurasian populations. Regarding archaic gene flow, we test six complex demographic models that consider recent admixture as well as archaic introgression. We identify the fingerprint of an archaic introgression event in the sub-Saharan populations included in the models (~ 4.0% in Khoisan, ~ 4.3% in Mbuti Pygmies, and ~ 5.8% in Mandenka) from an early divergent and currently extinct ghost modern human lineage.
[Conclusion] The present study represents an in-depth genomic analysis of a Pan African set of individuals, which emphasizes their complex relationships and demographic history at population level.
2020-05-14T10:37:53Z
2020-05-14T10:37:53Z
2019-04-26
2020-05-14T10:37:53Z
artículo
Genome Biology 20: 77 (2019)
http://hdl.handle.net/10261/211371
10.1186/s13059-019-1684-5
http://dx.doi.org/10.13039/501100003329
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/501100002809
http://dx.doi.org/10.13039/501100004587
http://dx.doi.org/10.13039/501100011033
31023378
Publisher's version
http://doi.org/10.1186/s13059-019-1684-5
Sí
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2013-44351-P
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2016-75389-P
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MDM-2014-0370
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RYC-2013-14797
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BFU2015-68759-P
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/BFU2017-86471-P
BFU2017-86471-P/AEI/10.13039/501100011033
http://creativecommons.org/licenses/by/4.0/
openAccess
BioMed Central