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Ancient DNA Reveals Prehistoric Gene-Flow from Siberia in the Complex Human Population History of North East Europe
North East Europe harbors a high diversity of cultures and languages, suggesting a complex genetic history. Archaeological, anthropological, and genetic research has revealed a series of influences from Western and Eastern Eurasia in the past. While genetic data from modern-day populations is common...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3573127/ https://www.ncbi.nlm.nih.gov/pubmed/23459685 http://dx.doi.org/10.1371/journal.pgen.1003296 |
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author | Der Sarkissian, Clio Balanovsky, Oleg Brandt, Guido Khartanovich, Valery Buzhilova, Alexandra Koshel, Sergey Zaporozhchenko, Valery Gronenborn, Detlef Moiseyev, Vyacheslav Kolpakov, Eugen Shumkin, Vladimir Alt, Kurt W. Balanovska, Elena Cooper, Alan Haak, Wolfgang |
author_facet | Der Sarkissian, Clio Balanovsky, Oleg Brandt, Guido Khartanovich, Valery Buzhilova, Alexandra Koshel, Sergey Zaporozhchenko, Valery Gronenborn, Detlef Moiseyev, Vyacheslav Kolpakov, Eugen Shumkin, Vladimir Alt, Kurt W. Balanovska, Elena Cooper, Alan Haak, Wolfgang |
author_sort | Der Sarkissian, Clio |
collection | PubMed |
description | North East Europe harbors a high diversity of cultures and languages, suggesting a complex genetic history. Archaeological, anthropological, and genetic research has revealed a series of influences from Western and Eastern Eurasia in the past. While genetic data from modern-day populations is commonly used to make inferences about their origins and past migrations, ancient DNA provides a powerful test of such hypotheses by giving a snapshot of the past genetic diversity. In order to better understand the dynamics that have shaped the gene pool of North East Europeans, we generated and analyzed 34 mitochondrial genotypes from the skeletal remains of three archaeological sites in northwest Russia. These sites were dated to the Mesolithic and the Early Metal Age (7,500 and 3,500 uncalibrated years Before Present). We applied a suite of population genetic analyses (principal component analysis, genetic distance mapping, haplotype sharing analyses) and compared past demographic models through coalescent simulations using Bayesian Serial SimCoal and Approximate Bayesian Computation. Comparisons of genetic data from ancient and modern-day populations revealed significant changes in the mitochondrial makeup of North East Europeans through time. Mesolithic foragers showed high frequencies and diversity of haplogroups U (U2e, U4, U5a), a pattern observed previously in European hunter-gatherers from Iberia to Scandinavia. In contrast, the presence of mitochondrial DNA haplogroups C, D, and Z in Early Metal Age individuals suggested discontinuity with Mesolithic hunter-gatherers and genetic influx from central/eastern Siberia. We identified remarkable genetic dissimilarities between prehistoric and modern-day North East Europeans/Saami, which suggests an important role of post-Mesolithic migrations from Western Europe and subsequent population replacement/extinctions. This work demonstrates how ancient DNA can improve our understanding of human population movements across Eurasia. It contributes to the description of the spatio-temporal distribution of mitochondrial diversity and will be of significance for future reconstructions of the history of Europeans. |
format | Online Article Text |
id | pubmed-3573127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35731272013-03-01 Ancient DNA Reveals Prehistoric Gene-Flow from Siberia in the Complex Human Population History of North East Europe Der Sarkissian, Clio Balanovsky, Oleg Brandt, Guido Khartanovich, Valery Buzhilova, Alexandra Koshel, Sergey Zaporozhchenko, Valery Gronenborn, Detlef Moiseyev, Vyacheslav Kolpakov, Eugen Shumkin, Vladimir Alt, Kurt W. Balanovska, Elena Cooper, Alan Haak, Wolfgang PLoS Genet Research Article North East Europe harbors a high diversity of cultures and languages, suggesting a complex genetic history. Archaeological, anthropological, and genetic research has revealed a series of influences from Western and Eastern Eurasia in the past. While genetic data from modern-day populations is commonly used to make inferences about their origins and past migrations, ancient DNA provides a powerful test of such hypotheses by giving a snapshot of the past genetic diversity. In order to better understand the dynamics that have shaped the gene pool of North East Europeans, we generated and analyzed 34 mitochondrial genotypes from the skeletal remains of three archaeological sites in northwest Russia. These sites were dated to the Mesolithic and the Early Metal Age (7,500 and 3,500 uncalibrated years Before Present). We applied a suite of population genetic analyses (principal component analysis, genetic distance mapping, haplotype sharing analyses) and compared past demographic models through coalescent simulations using Bayesian Serial SimCoal and Approximate Bayesian Computation. Comparisons of genetic data from ancient and modern-day populations revealed significant changes in the mitochondrial makeup of North East Europeans through time. Mesolithic foragers showed high frequencies and diversity of haplogroups U (U2e, U4, U5a), a pattern observed previously in European hunter-gatherers from Iberia to Scandinavia. In contrast, the presence of mitochondrial DNA haplogroups C, D, and Z in Early Metal Age individuals suggested discontinuity with Mesolithic hunter-gatherers and genetic influx from central/eastern Siberia. We identified remarkable genetic dissimilarities between prehistoric and modern-day North East Europeans/Saami, which suggests an important role of post-Mesolithic migrations from Western Europe and subsequent population replacement/extinctions. This work demonstrates how ancient DNA can improve our understanding of human population movements across Eurasia. It contributes to the description of the spatio-temporal distribution of mitochondrial diversity and will be of significance for future reconstructions of the history of Europeans. Public Library of Science 2013-02-14 /pmc/articles/PMC3573127/ /pubmed/23459685 http://dx.doi.org/10.1371/journal.pgen.1003296 Text en © 2013 Der Sarkissian et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Der Sarkissian, Clio Balanovsky, Oleg Brandt, Guido Khartanovich, Valery Buzhilova, Alexandra Koshel, Sergey Zaporozhchenko, Valery Gronenborn, Detlef Moiseyev, Vyacheslav Kolpakov, Eugen Shumkin, Vladimir Alt, Kurt W. Balanovska, Elena Cooper, Alan Haak, Wolfgang Ancient DNA Reveals Prehistoric Gene-Flow from Siberia in the Complex Human Population History of North East Europe |
title | Ancient DNA Reveals Prehistoric Gene-Flow from Siberia in the Complex Human Population History of North East Europe |
title_full | Ancient DNA Reveals Prehistoric Gene-Flow from Siberia in the Complex Human Population History of North East Europe |
title_fullStr | Ancient DNA Reveals Prehistoric Gene-Flow from Siberia in the Complex Human Population History of North East Europe |
title_full_unstemmed | Ancient DNA Reveals Prehistoric Gene-Flow from Siberia in the Complex Human Population History of North East Europe |
title_short | Ancient DNA Reveals Prehistoric Gene-Flow from Siberia in the Complex Human Population History of North East Europe |
title_sort | ancient dna reveals prehistoric gene-flow from siberia in the complex human population history of north east europe |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3573127/ https://www.ncbi.nlm.nih.gov/pubmed/23459685 http://dx.doi.org/10.1371/journal.pgen.1003296 |
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