28
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Genetic Legacy of the Expansion of Turkic-Speaking Nomads across Eurasia

      research-article
      1 , 2 , * , 1 , 3 , 4 , 3 , 2 , 1 , 2 , 5 , 2 , 6 , 6 , 7 , 8 , 8 , 9 , 10 , 1 , 11 , 1 , 12 , 13 , 12 , 13 , 2 , 5 , 14 , 15 , 2 , 5 , 16 , 17 , 17 , 18 , 16 , 18 , 11 , 19 , 2 , 5 , 1 , 3 , 20
      PLoS Genetics
      Public Library of Science

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The Turkic peoples represent a diverse collection of ethnic groups defined by the Turkic languages. These groups have dispersed across a vast area, including Siberia, Northwest China, Central Asia, East Europe, the Caucasus, Anatolia, the Middle East, and Afghanistan. The origin and early dispersal history of the Turkic peoples is disputed, with candidates for their ancient homeland ranging from the Transcaspian steppe to Manchuria in Northeast Asia. Previous genetic studies have not identified a clear-cut unifying genetic signal for the Turkic peoples, which lends support for language replacement rather than demic diffusion as the model for the Turkic language’s expansion. We addressed the genetic origin of 373 individuals from 22 Turkic-speaking populations, representing their current geographic range, by analyzing genome-wide high-density genotype data. In agreement with the elite dominance model of language expansion most of the Turkic peoples studied genetically resemble their geographic neighbors. However, western Turkic peoples sampled across West Eurasia shared an excess of long chromosomal tracts that are identical by descent (IBD) with populations from present-day South Siberia and Mongolia (SSM), an area where historians center a series of early Turkic and non-Turkic steppe polities. While SSM matching IBD tracts (> 1cM) are also observed in non-Turkic populations, Turkic peoples demonstrate a higher percentage of such tracts ( p-values ≤ 0.01) compared to their non-Turkic neighbors. Finally, we used the ALDER method and inferred admixture dates (~9th–17th centuries) that overlap with the Turkic migrations of the 5th–16th centuries. Thus, our results indicate historical admixture among Turkic peoples, and the recent shared ancestry with modern populations in SSM supports one of the hypothesized homelands for their nomadic Turkic and related Mongolic ancestors.

          Author Summary

          Centuries of nomadic migrations have ultimately resulted in the distribution of Turkic languages over a large area ranging from Siberia, across Central Asia to Eastern Europe and the Middle East. Despite the profound cultural impact left by these nomadic peoples, little is known about their prehistoric origins. Moreover, because contemporary Turkic speakers tend to genetically resemble their geographic neighbors, it is not clear whether their nomadic ancestors left an identifiable genetic trace. In this study, we show that Turkic-speaking peoples sampled across the Middle East, Caucasus, East Europe, and Central Asia share varying proportions of Asian ancestry that originate in a single area, southern Siberia and Mongolia. Mongolic- and Turkic-speaking populations from this area bear an unusually high number of long chromosomal tracts that are identical by descent with Turkic peoples from across west Eurasia. Admixture induced linkage disequilibrium decay across chromosomes in these populations indicates that admixture occurred during the 9th–17th centuries, in agreement with the historically recorded Turkic nomadic migrations and later Mongol expansion. Thus, our findings reveal genetic traces of recent large-scale nomadic migrations and map their source to a previously hypothesized area of Mongolia and southern Siberia.

          Related collections

          Most cited references26

          • Record: found
          • Abstract: found
          • Article: not found

          Association mapping in structured populations.

          The use, in association studies, of the forthcoming dense genomewide collection of single-nucleotide polymorphisms (SNPs) has been heralded as a potential breakthrough in the study of the genetic basis of common complex disorders. A serious problem with association mapping is that population structure can lead to spurious associations between a candidate marker and a phenotype. One common solution has been to abandon case-control studies in favor of family-based tests of association, such as the transmission/disequilibrium test (TDT), but this comes at a considerable cost in the need to collect DNA from close relatives of affected individuals. In this article we describe a novel, statistically valid, method for case-control association studies in structured populations. Our method uses a set of unlinked genetic markers to infer details of population structure, and to estimate the ancestry of sampled individuals, before using this information to test for associations within subpopulations. It provides power comparable with the TDT in many settings and may substantially outperform it if there are conflicting associations in different subpopulations.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Upper Palaeolithic Siberian genome reveals dual ancestry of Native Americans.

            The origins of the First Americans remain contentious. Although Native Americans seem to be genetically most closely related to east Asians, there is no consensus with regard to which specific Old World populations they are closest to. Here we sequence the draft genome of an approximately 24,000-year-old individual (MA-1), from Mal'ta in south-central Siberia, to an average depth of 1×. To our knowledge this is the oldest anatomically modern human genome reported to date. The MA-1 mitochondrial genome belongs to haplogroup U, which has also been found at high frequency among Upper Palaeolithic and Mesolithic European hunter-gatherers, and the Y chromosome of MA-1 is basal to modern-day western Eurasians and near the root of most Native American lineages. Similarly, we find autosomal evidence that MA-1 is basal to modern-day western Eurasians and genetically closely related to modern-day Native Americans, with no close affinity to east Asians. This suggests that populations related to contemporary western Eurasians had a more north-easterly distribution 24,000 years ago than commonly thought. Furthermore, we estimate that 14 to 38% of Native American ancestry may originate through gene flow from this ancient population. This is likely to have occurred after the divergence of Native American ancestors from east Asian ancestors, but before the diversification of Native American populations in the New World. Gene flow from the MA-1 lineage into Native American ancestors could explain why several crania from the First Americans have been reported as bearing morphological characteristics that do not resemble those of east Asians. Sequencing of another south-central Siberian, Afontova Gora-2 dating to approximately 17,000 years ago, revealed similar autosomal genetic signatures as MA-1, suggesting that the region was continuously occupied by humans throughout the Last Glacial Maximum. Our findings reveal that western Eurasian genetic signatures in modern-day Native Americans derive not only from post-Columbian admixture, as commonly thought, but also from a mixed ancestry of the First Americans.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A genetic atlas of human admixture history.

              Modern genetic data combined with appropriate statistical methods have the potential to contribute substantially to our understanding of human history. We have developed an approach that exploits the genomic structure of admixed populations to date and characterize historical mixture events at fine scales. We used this to produce an atlas of worldwide human admixture history, constructed by using genetic data alone and encompassing over 100 events occurring over the past 4000 years. We identified events whose dates and participants suggest they describe genetic impacts of the Mongol empire, Arab slave trade, Bantu expansion, first millennium CE migrations in Eastern Europe, and European colonialism, as well as unrecorded events, revealing admixture to be an almost universal force shaping human populations.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                21 April 2015
                April 2015
                : 11
                : 4
                : e1005068
                Affiliations
                [1 ]Evolutionary Biology group, Estonian Biocentre, Tartu, Estonia
                [2 ]Institute of Biochemistry and Genetics, Ufa Research Centre, RAS, Ufa, Bashkortostan, Russia
                [3 ]Department of Evolutionary Biology, University of Tartu, Tartu, Estonia
                [4 ]Department of Integrative Biology, University of California Berkeley, Berkeley, California, United States of America
                [5 ]Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Bashkortostan, Russia
                [6 ]Research Centre for Medical Genetics, RAMS, Moscow, Russia
                [7 ]Vavilov Institute for General Genetics, RAS, Moscow, Russia
                [8 ]Laboratory of Genomics, Institute of Bioorganic Chemistry, Academy of Sciences Republic of Uzbekistan, Tashkent, Uzbekistan
                [9 ]Mongolian Academy of Medical Sciences, Ulaanbaatar, Mongolia
                [10 ]Department of Medical Genetics, Shiraz University of Medical Sciences, Shiraz, Iran
                [11 ]Laboratory of Ethnogenomics, Institute of Molecular Biology, Academy of Sciences of Armenia, Yerevan, Armenia
                [12 ]Laboratory of Molecular Genetics, Yakut Research Center of Complex Medical Problems, Yakutsk, Sakha Republic, Russia
                [13 ]Laboratory of Molecular Biology, North-Eastern Federal University, Yakutsk, Sakha Republic, Russia
                [14 ]Estonian Genome Center, University of Tartu, Tartu, Estonia
                [15 ]Gene Technology Workgroup, Estonian Biocentre, Tartu, Estonia
                [16 ]Institute of Internal Medicine, SB RAMS, Novosibirsk, Russia
                [17 ]Institute of Biological Problems of the North, Magadan, Russia
                [18 ]Institute of Cytology and Genetics, SB RAS, Novosibirsk, Russia
                [19 ]Division of Biological Anthropology, University of Cambridge, Cambridge, United Kingdom
                [20 ]Estonian Academy of Sciences, Tallinn, Estonia
                University of California Davis, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: BY MM RVi. Performed the experiments: BY MM. Analyzed the data: BY MM AV. Contributed reagents/materials/analysis tools: AV SL RVa VA EB OB ST DD PN AB HS KT SF NB IK EMi RK LD MD BM LO MV LY EK RVi. Wrote the paper: BY MM RVi TK. Coorinated and prepared samples for genotyping and managed data generation: EMe. Discussed and critically edited the manuscript: TK.

                Article
                PGENETICS-D-13-03227
                10.1371/journal.pgen.1005068
                4405460
                25898006
                8df5424b-6b17-481d-8e9a-483835a334c0
                Copyright @ 2015

                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 credited

                History
                : 28 November 2013
                : 11 February 2015
                Page count
                Figures: 6, Tables: 0, Pages: 24
                Funding
                This work was supported by European Union European Regional Development Fund through the Centre of Excellence in Genomics for the Estonian Biocentre and the University of Tartu, by the Estonian Institutional Research grant IUT24-1, by the European Commission grant 205419 ECOGENE to the EBC, by the Estonian Science Foundation grant nr8973, and by the Estonian Basic Research Grant SF 0270177s08; Russian Federation President Grant for young scientists (MK-2845.2014.4) to BY; the Russian Academy of Sciences Program for Fundamental Research "Biodiversity and dynamics of gene pools" to EK; the Federal Agency of Education and Science of the Russian Federation (state contracts 02.740.11.0701 and P325 to EK); the Russian Foundation for Basic Research (grant number 11-04-00652_a to EK); the Russian Foundation for Humanities (grant number 13-11-02014/U to EK); Committee for Coordination Science and Technology Development of Republic of Uzbekistan (grant number FA-A6-T180 to ST); EGC-UT received targeted financing from Estonian Government SF0180142s08, Center of Excellence in Genomics (EXCEGEN), and University of Tartu (SP1GVARENG). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article

                Genetics
                Genetics

                Comments

                Comment on this article