30
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Evolutionary history of Tibetans inferred from whole-genome sequencing

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          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 indigenous people of the Tibetan Plateau have been the subject of much recent interest because of their unique genetic adaptations to high altitude. Recent studies have demonstrated that the Tibetan EPAS1 haplotype is involved in high altitude-adaptation and originated in an archaic Denisovan-related population. We sequenced the whole-genomes of 27 Tibetans and conducted analyses to infer a detailed history of demography and natural selection of this population. We detected evidence of population structure between the ancestral Han and Tibetan subpopulations as early as 44 to 58 thousand years ago, but with high rates of gene flow until approximately 9 thousand years ago. The CMS test ranked EPAS1 and EGLN1 as the top two positive selection candidates, and in addition identified PTGIS, VDR, and KCTD12 as new candidate genes. The advantageous Tibetan EPAS1 haplotype shared many variants with the Denisovan genome, with an ancient gene tree divergence between the Tibetan and Denisovan haplotypes of about 1 million years ago. With the exception of EPAS1, we observed no evidence of positive selection on Denisovan-like haplotypes.

          Author summary

          The Tibetan population has been residing on high plateau for thousands of years and developed unique adaptation to the local environment. To investigate the demographic history of Tibetans and search for possible adaptive genetic variants, we performed whole-genome sequencing of 27 Tibetan individuals. We found evidence of genetic separation between Han and Tibetans around since 44 and 58 thousand years ago; however, these two populations maintained a high rate of gene flow until 9 thousand years ago. In addition to replicating two previously discovered candidate genes ( EGLN1 and EPAS1) for high altitude adaptation, we also found three new candidate genes, including PTGIS, VDR and KCTD12. We confirmed the high similarity of EPAS1 gene region between Tibetans and Denisovans, but did not detect any evidence of high altitude adaptation from Denisovan gene alleles otherwise.

          Related collections

          Most cited references40

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

          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
            • Record: found
            • Abstract: found
            • Article: not found

            The complete genome sequence of a Neandertal from the Altai Mountains

            We present a high-quality genome sequence of a Neandertal woman from Siberia. We show that her parents were related at the level of half siblings and that mating among close relatives was common among her recent ancestors. We also sequenced the genome of a Neandertal from the Caucasus to low coverage. An analysis of the relationships and population history of available archaic genomes and 25 present-day human genomes shows that several gene flow events occurred among Neandertals, Denisovans and early modern humans, possibly including gene flow into Denisovans from an unknown archaic group. Thus, interbreeding, albeit of low magnitude, occurred among many hominin groups in the Late Pleistocene. In addition, the high quality Neandertal genome allows us to establish a definitive list of substitutions that became fixed in modern humans after their separation from the ancestors of Neandertals and Denisovans.
              • Record: found
              • Abstract: found
              • Article: not found

              A high-coverage genome sequence from an archaic Denisovan individual.

              We present a DNA library preparation method that has allowed us to reconstruct a high-coverage (30×) genome sequence of a Denisovan, an extinct relative of Neandertals. The quality of this genome allows a direct estimation of Denisovan heterozygosity indicating that genetic diversity in these archaic hominins was extremely low. It also allows tentative dating of the specimen on the basis of "missing evolution" in its genome, detailed measurements of Denisovan and Neandertal admixture into present-day human populations, and the generation of a near-complete catalog of genetic changes that swept to high frequency in modern humans since their divergence from Denisovans.

                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
                27 April 2017
                April 2017
                : 13
                : 4
                : e1006675
                Affiliations
                [1 ]Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
                [2 ]Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
                [3 ]Institute for Systems Biology, Seattle, Washington, United States of America
                [4 ]Department of Anthropology, University of Utah, Salt Lake City, Utah, United States of America
                [5 ]Department of Medicine, University of Utah School of Medicine and George E. Wahlin Veterans Administration Medical Center, Salt Lake City, Utah, United States of America
                [6 ]Department of Human Genetics, University of Utah, Salt Lake City, Utah, United States of America
                [7 ]Department of Molecular and Cellular Therapeutics, The Royal College of Surgeons in Ireland, Dublin, Ireland
                [8 ]Skaggs School of Pharmacy and Pharmaceutical Science, UC San Diego, La Jolla, California, United States of America
                [9 ]Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
                [10 ]Department of Medicine, Division of Physiology, University of California San Diego, La Jolla, California, United States of America
                University of Pennsylvania, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                • Conceptualization: CDH TSS JTP LBJ JCR PAR.

                • Data curation: HH CDH.

                • Formal analysis: HH GG YY RB ARR JMD CDH.

                • Investigation: CDH HH TSS LBJ JTP GC PAR GG YY RB JMD JCR AMC ARR.

                • Methodology: HH GG YY RB ARR JMD CDH.

                • Project administration: CDH TSS JTP LBJ JCR PAR.

                • Resources: PAR TSS JCR NP GG TT FRL LH MEB SMA LBJ.

                • Software: HH YY RB.

                • Supervision: CDH TSS JTP LBJ JCR PAR.

                • Writing – original draft: HH CDH TSS JTP LBJ NP YY RB.

                • Writing – review & editing: HH CDH TSS JTP JCR LBJ NP GG YY RB TT JMD AMC FRL ARR MEB GC PAR.

                Author information
                http://orcid.org/0000-0001-8060-5955
                http://orcid.org/0000-0002-6347-0494
                http://orcid.org/0000-0002-2785-866X
                http://orcid.org/0000-0002-5424-4401
                http://orcid.org/0000-0003-3987-3346
                http://orcid.org/0000-0002-4975-0609
                Article
                PGENETICS-D-16-02023
                10.1371/journal.pgen.1006675
                5407610
                28448578
                18ed4d50-a7cf-41e2-9c41-adf8d569056a
                © 2017 Hu et al

                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
                : 12 September 2016
                : 8 March 2017
                Page count
                Figures: 5, Tables: 4, Pages: 22
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000050, National Heart, Lung, and Blood Institute;
                Award ID: R00 HL118215,
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: GM59290
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: GM104390
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: GM118335
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000054, National Cancer Institute;
                Award ID: R25CA057730
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000054, National Cancer Institute;
                Award ID: CA016672
                Award Recipient :
                This work was supported by NIH R00 HL118215. LBJ was supported by NIH grants GM59290, GM104390, and GM118335. NP was supported by the Wellcome Trust (award number 089457/Z/09/Z, PI: Peter Robbins, DPhil). RB was supported by NCI Award Numbers R25CA057730 (PI: Shine Chang, PhD) and CA016672 (PI: Ronald Depinho, MD). AMC and GLC were supported by an Investigators Programme grant from Science Foundation Ireland (12/IP/1727). GG, JCR and MEB were supported by the University of Luxembourg - Institute for Systems Biology Program and by NIH grant P50 GM076547. ARR was supported by NSF grant BCS 1638840. JTP was supported by 1I01 CX001372-01A2. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                People and Places
                Population Groupings
                Ethnicities
                Tibetan People
                People and places
                Population groupings
                Ethnicities
                Han Chinese
                Biology and Life Sciences
                Genetics
                Heredity
                Genetic Mapping
                Haplotypes
                People and Places
                Demography
                Biology and Life Sciences
                Computational Biology
                Comparative Genomics
                Biology and Life Sciences
                Genetics
                Genomics
                Comparative Genomics
                Biology and Life Sciences
                Computational Biology
                Genomics Statistics
                Biology and Life Sciences
                Genetics
                Genomics
                Genomics Statistics
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Processes
                Introgression
                Biology and Life Sciences
                Genetics
                Heredity
                Gene Flow
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Gene Flow
                Biology and Life Sciences
                Genetics
                Population Genetics
                Gene Flow
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Gene Flow
                Custom metadata
                The whole genome-sequencing data are available at The database of Genotypes and Phenotypes (dbGaP) under accession number phs001338.

                Genetics
                Genetics

                Comments

                Comment on this article

                Related Documents Log