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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

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dc.contributor.author Lorente-Galdós, Belén, 1981-
dc.contributor.author Lao Grueso, Oscar, 1976-
dc.contributor.author Serra Vidal, Gerard, 1989-
dc.contributor.author Santpere Baró, Gabriel, 1981-
dc.contributor.author Kuderna, Lukas, 1989-
dc.contributor.author Arauna, Lara R
dc.contributor.author Fadhlaoui-Zid, Karima
dc.contributor.author Pimenoff, Ville N.
dc.contributor.author Soodyall, Himla
dc.contributor.author Zalloua, Pierre A.
dc.contributor.author Marquès i Bonet, Tomàs, 1975-
dc.contributor.author Comas, David, 1969-
dc.date.accessioned 2019-04-30T07:50:43Z
dc.date.available 2019-04-30T07:50:43Z
dc.date.issued 2019
dc.identifier.citation Lorente-Galdos B, Lao O, Serra-Vidal G, Santpere G, Kuderna LFK, Arauna LR et al. 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. Genome Biol. 2019;20(1):77. DOI: 10.1186/s13059-019-1684-5
dc.identifier.issn 1474-7596
dc.identifier.uri http://hdl.handle.net/10230/37159
dc.description.abstract 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.
dc.description.sponsorship This study was funded by the Spanish MINECO grants CGL-2013-44351-P, CGL-2016-75389-P, and the “Unidad de Excelencia Maria de Maeztu” MDM2014-0370. BLG was supported with a Beatriu de Pinós (BP-DGR 2014) fellowship. O.L. was supported by a Ramón y Cajal grant from the Spanish Ministerio de Economia y Competitividad (MEIC) with reference RYC-2013-14797, a BFU2015-68759-P (MEIC/FEDER) grant and the support of Secretaria d’Universitats i Recerca del Departament d’Economia i Coneixement de la Generalitat de Catalunya (GRC 2017 SGR 937). O.L. also acknowledges the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) to the EMBL partnership; Centro de Excelencia Severo Ochoa; CERCA Programme / Generalitat de Catalunya; the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) through the Instituto de Salud Carlos III; Generalitat de Catalunya through Departament de Salut and Departament d’Empresa i Coneixement; the co-financing by the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) with funds from the European Regional Development Fund (ERDF) corresponding to the 2014-2020 Smart Growth Operating Program. GSV was supported by a FI (2017FI_B2 00010) scholarship. LFKK was supported by an FPI fellowship associated with BFU2014-55090-P (MINECO/FEDER, UE). VNP was financially supported by the Ministry of Health, Government of Catalonia [grant SLT002/16/00496] and a grant from Otto A. Malmi Foundation (Finland). TMB is supported by BFU2017-86471-P (MINECO/FEDER, UE), U01 MH106874 grant, Howard Hughes International Early Career, Obra Social "La Caixa" and Secretaria d’Universitats i Recerca and CERCA Programme del Departament d’Economia i Coneixement de la Generalitat de Catalunya (GRC 2017 SGR 880).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher BioMed Central
dc.relation.ispartof Genome Biology. 2019;20(1):77
dc.rights © The Author(s). 2019. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title 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
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1186/s13059-019-1684-5
dc.subject.keyword Human population genetics
dc.subject.keyword Genome diversity
dc.subject.keyword Whole-genome sequences
dc.subject.keyword Africa
dc.subject.keyword Archaic introgression
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/CGL-2013-44351-P
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/CGL-2016-75389-P
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/BFU2015-68759-P
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/BFU2014-55090-P
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/BFU2017-86471-P
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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