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      Toward high-resolution population genomics using archaeological samples

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          Abstract

          The term ‘ancient DNA’ (aDNA) is coming of age, with over 1,200 hits in the PubMed database, beginning in the early 1980s with the studies of ‘molecular paleontology’. Rooted in cloning and limited sequencing of DNA from ancient remains during the pre-PCR era, the field has made incredible progress since the introduction of PCR and next-generation sequencing. Over the last decade, aDNA analysis ushered in a new era in genomics and became the method of choice for reconstructing the history of organisms, their biogeography, and migration routes, with applications in evolutionary biology, population genetics, archaeogenetics, paleo-epidemiology, and many other areas. This change was brought by development of new strategies for coping with the challenges in studying aDNA due to damage and fragmentation, scarce samples, significant historical gaps, and limited applicability of population genetics methods. In this review, we describe the state-of-the-art achievements in aDNA studies, with particular focus on human evolution and demographic history. We present the current experimental and theoretical procedures for handling and analysing highly degraded aDNA. We also review the challenges in the rapidly growing field of ancient epigenomics. Advancement of aDNA tools and methods signifies a new era in population genetics and evolutionary medicine research.

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          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.
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            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.
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              Ancient human genomes suggest three ancestral populations for present-day Europeans

              We sequenced genomes from a $\sim$7,000 year old early farmer from Stuttgart in Germany, an $\sim$8,000 year old hunter-gatherer from Luxembourg, and seven $\sim$8,000 year old hunter-gatherers from southern Sweden. We analyzed these data together with other ancient genomes and 2,345 contemporary humans to show that the great majority of present-day Europeans derive from at least three highly differentiated populations: West European Hunter-Gatherers (WHG), who contributed ancestry to all Europeans but not to Near Easterners; Ancient North Eurasians (ANE), who were most closely related to Upper Paleolithic Siberians and contributed to both Europeans and Near Easterners; and Early European Farmers (EEF), who were mainly of Near Eastern origin but also harbored WHG-related ancestry. We model these populations' deep relationships and show that EEF had $\sim$44% ancestry from a "Basal Eurasian" lineage that split prior to the diversification of all other non-African lineages.
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                Author and article information

                Journal
                DNA Res
                DNA Res
                dnares
                dnares
                DNA Research: An International Journal for Rapid Publication of Reports on Genes and Genomes
                Oxford University Press
                1340-2838
                1756-1663
                August 2016
                19 July 2016
                19 July 2016
                : 23
                : 4
                : 295-310
                Affiliations
                1Institute of Evolutionary Medicine, University of Zurich, Zurich, Switzerland
                2Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
                3Bioinformatics Center, A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russian Federation
                4Ecology and Evolution Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
                5Vavilov Institute of General Genetics RAS, Moscow, Russia
                6Department of Computational and Molecular Biology, University of Southern California, Los Angeles, CA, USA
                7Center for Personalized Medicine, Children’s Hospital Los Angeles, Los Angeles, CA, USA
                8Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
                9Donskaya Archeologia, Rostov, Russia
                10School of Chemical and Biotechnology, SASTRA University, Tanjore, India
                11Research Center of Biotechnology RAS, Moscow, Russia
                12Department of Biology, Lomonosov Moscow State University, Russia
                13EPAM Systems, Newtown, PA, USA
                14University of Massachusetts Medical School, Worcester, MA, USA
                15F1 Genomics, San Diego, CA, USA
                16School of Systems Biology, George Mason University, VA, USA
                17Research Centre for Medical Genetics, Moscow, Russia
                18Atlas Biomed Group, Moscow, Russia
                19Department of Animal & Plant Sciences, University of Sheffield, Sheffield, South Yorkshire, UK
                Author notes
                *To whom correspondence should be addressed. Tel. +310 266 8024 (cell), +323 361 8086 (work). Fax: +323 361 1183. E-mail: tatiana.tatarinova@ 123456usc.edu ; irina.morozova@ 123456iem.uzh.ch

                Edited by Dr Katsumi Isono

                Article
                dsw029
                10.1093/dnares/dsw029
                4991838
                27436340
                840b8b22-1b1e-48e1-8dd3-2edd3ce6c324
                © The Author 2016. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.

                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

                History
                : 22 November 2015
                : 22 May 2016
                Page count
                Pages: 16
                Categories
                Invited Review
                Editor's Choice

                Genetics
                ancient dna,bioinformatics,epigenetics,population genetics,next-generation sequencing
                Genetics
                ancient dna, bioinformatics, epigenetics, population genetics, next-generation sequencing

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