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      A 5700 year-old human genome and oral microbiome from chewed birch pitch

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          Abstract

          The rise of ancient genomics has revolutionised our understanding of human prehistory but this work depends on the availability of suitable samples. Here we present a complete ancient human genome and oral microbiome sequenced from a 5700 year-old piece of chewed birch pitch from Denmark. We sequence the human genome to an average depth of 2.3× and find that the individual who chewed the pitch was female and that she was genetically more closely related to western hunter-gatherers from mainland Europe than hunter-gatherers from central Scandinavia. We also find that she likely had dark skin, dark brown hair and blue eyes. In addition, we identify DNA fragments from several bacterial and viral taxa, including Epstein-Barr virus, as well as animal and plant DNA, which may have derived from a recent meal. The results highlight the potential of chewed birch pitch as a source of ancient DNA.

          Abstract

          Birch pitch is thought to have been used in prehistoric times as hafting material or antiseptic and tooth imprints suggest that it was chewed. Here, the authors report a 5,700 year-old piece of chewed birch pitch from Denmark from which they successfully recovered a complete ancient human genome and oral microbiome DNA.

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          SeqKit: A Cross-Platform and Ultrafast Toolkit for FASTA/Q File Manipulation

          FASTA and FASTQ are basic and ubiquitous formats for storing nucleotide and protein sequences. Common manipulations of FASTA/Q file include converting, searching, filtering, deduplication, splitting, shuffling, and sampling. Existing tools only implement some of these manipulations, and not particularly efficiently, and some are only available for certain operating systems. Furthermore, the complicated installation process of required packages and running environments can render these programs less user friendly. This paper describes a cross-platform ultrafast comprehensive toolkit for FASTA/Q processing. SeqKit provides executable binary files for all major operating systems, including Windows, Linux, and Mac OSX, and can be directly used without any dependencies or pre-configurations. SeqKit demonstrates competitive performance in execution time and memory usage compared to similar tools. The efficiency and usability of SeqKit enable researchers to rapidly accomplish common FASTA/Q file manipulations. SeqKit is open source and available on Github at https://github.com/shenwei356/seqkit.
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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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              Massive migration from the steppe was a source for Indo-European languages in Europe

              We generated genome-wide data from 69 Europeans who lived between 8,000-3,000 years ago by enriching ancient DNA libraries for a target set of almost 400,000 polymorphisms. Enrichment of these positions decreases the sequencing required for genome-wide ancient DNA analysis by a median of around 250-fold, allowing us to study an order of magnitude more individuals than previous studies and to obtain new insights about the past. We show that the populations of Western and Far Eastern Europe followed opposite trajectories between 8,000-5,000 years ago. At the beginning of the Neolithic period in Europe, ∼8,000-7,000 years ago, closely related groups of early farmers appeared in Germany, Hungary and Spain, different from indigenous hunter-gatherers, whereas Russia was inhabited by a distinctive population of hunter-gatherers with high affinity to a ∼24,000-year-old Siberian. By ∼6,000-5,000 years ago, farmers throughout much of Europe had more hunter-gatherer ancestry than their predecessors, but in Russia, the Yamnaya steppe herders of this time were descended not only from the preceding eastern European hunter-gatherers, but also from a population of Near Eastern ancestry. Western and Eastern Europe came into contact ∼4,500 years ago, as the Late Neolithic Corded Ware people from Germany traced ∼75% of their ancestry to the Yamnaya, documenting a massive migration into the heartland of Europe from its eastern periphery. This steppe ancestry persisted in all sampled central Europeans until at least ∼3,000 years ago, and is ubiquitous in present-day Europeans. These results provide support for a steppe origin of at least some of the Indo-European languages of Europe.
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                Author and article information

                Contributors
                hschroeder@bio.ku.dk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                17 December 2019
                17 December 2019
                2019
                : 10
                : 5520
                Affiliations
                [1 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, The Globe Institute, Faculty of Health and Medical Sciences, , University of Copenhagen, ; Copenhagen, 1353 Denmark
                [2 ]ISNI 0000 0004 1936 9668, GRID grid.5685.e, BioArch, Department of Archaeology, , University of York, ; York, YO10 5DD UK
                [3 ]ISNI 0000 0001 2181 8870, GRID grid.5170.3, Department of Bio and Health Informatics, , Technical University of Denmark, ; Kongens, Lyngby 2800 Denmark
                [4 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, , University of Copenhagen, ; Copenhagen, 2200 Denmark
                [5 ]ISNI 0000 0004 0407 1981, GRID grid.4830.f, Centre for Isotope Research, , University of Groningen, ; Groningen, 9747 AG The Netherlands
                [6 ]ISNI 0000 0001 2254 6512, GRID grid.425566.6, The National Museum of Denmark, I.C. Modewegs Vej, Brede, ; Kongens Lyngby, 2800 Denmark
                [7 ]Museum Lolland-Falster, Frisegade 40, Nykøbing Falster, 4800 Denmark
                [8 ]ISNI 0000000121885934, GRID grid.5335.0, McDonald Institute for Archaeological Research, , University of Cambridge, ; Cambridge, CB2 3ER UK
                [9 ]ISNI 0000 0001 1516 2393, GRID grid.5947.f, University Museum, NTNU, ; 7012 Trondheim, Norway
                Author information
                http://orcid.org/0000-0002-7166-7975
                http://orcid.org/0000-0002-7134-7672
                http://orcid.org/0000-0002-4585-4662
                http://orcid.org/0000-0002-2004-6810
                http://orcid.org/0000-0002-7291-8887
                http://orcid.org/0000-0003-1371-219X
                http://orcid.org/0000-0001-5777-091X
                http://orcid.org/0000-0002-8914-9463
                http://orcid.org/0000-0002-5805-7195
                http://orcid.org/0000-0003-2818-8319
                http://orcid.org/0000-0001-6323-9041
                http://orcid.org/0000-0002-6743-0270
                Article
                13549
                10.1038/s41467-019-13549-9
                6917805
                31848342
                ca786127-ab69-4d6f-b2af-8179476de4cc
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 June 2019
                : 15 November 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100008398, Villum Fonden (Villum Foundation);
                Award ID: 22917
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100010661, EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020);
                Award ID: 649307
                Award ID: 676154
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                metagenomics,population genetics,dna sequencing,archaeology
                Uncategorized
                metagenomics, population genetics, dna sequencing, archaeology

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