Cargando…

Recovering signals of ghost archaic introgression in African populations

While introgression from Neanderthals and Denisovans has been documented in modern humans outside Africa, the contribution of archaic hominins to the genetic variation of present-day Africans remains poorly understood. We provide complementary lines of evidence for archaic introgression into four We...

Descripción completa

Detalles Bibliográficos
Autores principales: Durvasula, Arun, Sankararaman, Sriram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015685/
https://www.ncbi.nlm.nih.gov/pubmed/32095519
http://dx.doi.org/10.1126/sciadv.aax5097
_version_ 1783496846199488512
author Durvasula, Arun
Sankararaman, Sriram
author_facet Durvasula, Arun
Sankararaman, Sriram
author_sort Durvasula, Arun
collection PubMed
description While introgression from Neanderthals and Denisovans has been documented in modern humans outside Africa, the contribution of archaic hominins to the genetic variation of present-day Africans remains poorly understood. We provide complementary lines of evidence for archaic introgression into four West African populations. Our analyses of site frequency spectra indicate that these populations derive 2 to 19% of their genetic ancestry from an archaic population that diverged before the split of Neanderthals and modern humans. Using a method that can identify segments of archaic ancestry without the need for reference archaic genomes, we built genome-wide maps of archaic ancestry in the Yoruba and the Mende populations. Analyses of these maps reveal segments of archaic ancestry at high frequency in these populations that represent potential targets of adaptive introgression. Our results reveal the substantial contribution of archaic ancestry in shaping the gene pool of present-day West African populations.
format Online
Article
Text
id pubmed-7015685
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher American Association for the Advancement of Science
record_format MEDLINE/PubMed
spelling pubmed-70156852020-02-24 Recovering signals of ghost archaic introgression in African populations Durvasula, Arun Sankararaman, Sriram Sci Adv Research Articles While introgression from Neanderthals and Denisovans has been documented in modern humans outside Africa, the contribution of archaic hominins to the genetic variation of present-day Africans remains poorly understood. We provide complementary lines of evidence for archaic introgression into four West African populations. Our analyses of site frequency spectra indicate that these populations derive 2 to 19% of their genetic ancestry from an archaic population that diverged before the split of Neanderthals and modern humans. Using a method that can identify segments of archaic ancestry without the need for reference archaic genomes, we built genome-wide maps of archaic ancestry in the Yoruba and the Mende populations. Analyses of these maps reveal segments of archaic ancestry at high frequency in these populations that represent potential targets of adaptive introgression. Our results reveal the substantial contribution of archaic ancestry in shaping the gene pool of present-day West African populations. American Association for the Advancement of Science 2020-02-12 /pmc/articles/PMC7015685/ /pubmed/32095519 http://dx.doi.org/10.1126/sciadv.aax5097 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Durvasula, Arun
Sankararaman, Sriram
Recovering signals of ghost archaic introgression in African populations
title Recovering signals of ghost archaic introgression in African populations
title_full Recovering signals of ghost archaic introgression in African populations
title_fullStr Recovering signals of ghost archaic introgression in African populations
title_full_unstemmed Recovering signals of ghost archaic introgression in African populations
title_short Recovering signals of ghost archaic introgression in African populations
title_sort recovering signals of ghost archaic introgression in african populations
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015685/
https://www.ncbi.nlm.nih.gov/pubmed/32095519
http://dx.doi.org/10.1126/sciadv.aax5097
work_keys_str_mv AT durvasulaarun recoveringsignalsofghostarchaicintrogressioninafricanpopulations
AT sankararamansriram recoveringsignalsofghostarchaicintrogressioninafricanpopulations