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Signatures of Archaic Adaptive Introgression in Present-Day Human Populations

Comparisons of DNA from archaic and modern humans show that these groups interbred, and in some cases received an evolutionary advantage from doing so. This process—adaptive introgression—may lead to a faster rate of adaptation than is predicted from models with mutation and selection alone. Within...

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Autores principales: Racimo, Fernando, Marnetto, Davide, Huerta-Sánchez, Emilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5400396/
https://www.ncbi.nlm.nih.gov/pubmed/27756828
http://dx.doi.org/10.1093/molbev/msw216
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author Racimo, Fernando
Marnetto, Davide
Huerta-Sánchez, Emilia
author_facet Racimo, Fernando
Marnetto, Davide
Huerta-Sánchez, Emilia
author_sort Racimo, Fernando
collection PubMed
description Comparisons of DNA from archaic and modern humans show that these groups interbred, and in some cases received an evolutionary advantage from doing so. This process—adaptive introgression—may lead to a faster rate of adaptation than is predicted from models with mutation and selection alone. Within the last couple of years, a series of studies have identified regions of the genome that are likely examples of adaptive introgression. In many cases, once a region was ascertained as being introgressed, commonly used statistics based on both haplotype as well as allele frequency information were employed to test for positive selection. Introgression by itself, however, changes both the haplotype structure and the distribution of allele frequencies, thus confounding traditional tests for detecting positive selection. Therefore, patterns generated by introgression alone may lead to false inferences of positive selection. Here we explore models involving both introgression and positive selection to investigate the behavior of various statistics under adaptive introgression. In particular, we find that the number and allelic frequencies of sites that are uniquely shared between archaic humans and specific present-day populations are particularly useful for detecting adaptive introgression. We then examine the 1000 Genomes dataset to characterize the landscape of uniquely shared archaic alleles in human populations. Finally, we identify regions that were likely subject to adaptive introgression and discuss some of the most promising candidate genes located in these regions.
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spelling pubmed-54003962017-04-28 Signatures of Archaic Adaptive Introgression in Present-Day Human Populations Racimo, Fernando Marnetto, Davide Huerta-Sánchez, Emilia Mol Biol Evol Discoveries Comparisons of DNA from archaic and modern humans show that these groups interbred, and in some cases received an evolutionary advantage from doing so. This process—adaptive introgression—may lead to a faster rate of adaptation than is predicted from models with mutation and selection alone. Within the last couple of years, a series of studies have identified regions of the genome that are likely examples of adaptive introgression. In many cases, once a region was ascertained as being introgressed, commonly used statistics based on both haplotype as well as allele frequency information were employed to test for positive selection. Introgression by itself, however, changes both the haplotype structure and the distribution of allele frequencies, thus confounding traditional tests for detecting positive selection. Therefore, patterns generated by introgression alone may lead to false inferences of positive selection. Here we explore models involving both introgression and positive selection to investigate the behavior of various statistics under adaptive introgression. In particular, we find that the number and allelic frequencies of sites that are uniquely shared between archaic humans and specific present-day populations are particularly useful for detecting adaptive introgression. We then examine the 1000 Genomes dataset to characterize the landscape of uniquely shared archaic alleles in human populations. Finally, we identify regions that were likely subject to adaptive introgression and discuss some of the most promising candidate genes located in these regions. Oxford University Press 2017-02 2016-08-18 /pmc/articles/PMC5400396/ /pubmed/27756828 http://dx.doi.org/10.1093/molbev/msw216 Text en © The Author 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Discoveries
Racimo, Fernando
Marnetto, Davide
Huerta-Sánchez, Emilia
Signatures of Archaic Adaptive Introgression in Present-Day Human Populations
title Signatures of Archaic Adaptive Introgression in Present-Day Human Populations
title_full Signatures of Archaic Adaptive Introgression in Present-Day Human Populations
title_fullStr Signatures of Archaic Adaptive Introgression in Present-Day Human Populations
title_full_unstemmed Signatures of Archaic Adaptive Introgression in Present-Day Human Populations
title_short Signatures of Archaic Adaptive Introgression in Present-Day Human Populations
title_sort signatures of archaic adaptive introgression in present-day human populations
topic Discoveries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5400396/
https://www.ncbi.nlm.nih.gov/pubmed/27756828
http://dx.doi.org/10.1093/molbev/msw216
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