{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Fages A"],"funding":["Fundação para a Ciência e a Tecnologia","Austrian Science Fund FWF","Howard Hughes Medical Institute","“la Caixa” Foundation","NIMH NIH HHS","Deanship of Scientific Research, King Saud University","Estonian Research Competency Council","European Commission","Asia Foundation","Lundbeck Foundation","Norges Forskningsråd","Swiss National Science Foundation","Danmarks Grundforskningsfond","European Research Council","Villum Fonden","Ministerio de Economía y Competitividad","Ministry of Education and Science of the Russian Federation","Russian Science Foundation","H2020 Marie Skłodowska-Curie Actions","Université de Toulouse"],"pagination":["1419-1435.e31"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6547883"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["177(6)"],"pubmed_abstract":["Horse domestication revolutionized warfare and accelerated travel, trade, and the geographic expansion of languages. Here, we present the largest DNA time series for a non-human organism to date, including genome-scale data from 149 ancient animals and 129 ancient genomes (≥1-fold coverage), 87 of which are new. This extensive dataset allows us to assess the modern legacy of past equestrian civilizations. We find that two extinct horse lineages existed during early domestication, one at the far western (Iberia) and the other at the far eastern range (Siberia) of Eurasia. None of these contributed significantly to modern diversity. We show that the influence of Persian-related horse lineages increased following the Islamic conquests in Europe and Asia. Multiple alleles associated with elite-racing, including at the MSTN \"speed gene,\" only rose in popularity within the last millennium. Finally, the development of modern breeding impacted genetic diversity more dramatically than the previous millennia of human management."],"journal":["Cell"],"pubmed_title":["Tracking Five Millennia of Horse Management with Extensive Ancient Genome Time Series."],"pmcid":["PMC6547883"],"funding_grant_id":["W 1225","U01 MH106874","R155-2013-16338","00013266","681605","140638"],"pubmed_authors":["Anthony D","Leonardi M","Laleh H","Detry C","Ellingvag S","Taylor W","Biglari F","Leonard JA","Rapan Papesa A","Allentoft M","Mijiddorj E","Lhuillier J","Germonpre M","Sauer E","Lepetz S","Tumen D","Pitskhelauri K","Schibler J","Merz V","Hofreiter M","Kosintsev P","Schafberg R","Trixl S","Shapiro B","Star B","Marques-Bonet T","Brem G","Khazaeli R","Pitulko V","McCrory Constantz C","de Los Angeles de Chorro Y de Villa-Ceballos M","Teegen WR","Al-Rasheid KAS","Trbojevic Vukicevic T","Albizuri S","Viegas C","Shidrang S","Alfarhan AH","Pruvost M","Kasparov A","Arruda AM","Gamba C","Kuderna L","Sardari A","Bayarsaikhan J","Fages A","Wallner B","Baimukhanov N","Fathi H","Barrey E","Hanghoj K","Nistelberger H","Bernaldez-Sanchez E","Outram AK","Boessenkool S","de Barros Damgaard P","Roslyakova N","Nieto-Espinet A","Felkel S","Dohr A","Stefansson K","Kristiansen K","Daugnora L","Berrocal-Rangel L","Brown D","Willerslev E","Morales A","Garcia-Vinas E","Kubatbek T","Librado P","Seguin-Orlando A","Boldgiv B","Vahdati A","Liesau von Lettow-Vorbeck C","Southon J","Helgason A","Barrett JH","Davoudi H","Luis C","Mashkour M","Onar V","Matoso Silva R","Sykes N","Undrakhbold S","Benecke N","Scheu A","Taheri K","Hallsson JH","Fernandez-Rodriguez C","Sheikhi Seno S","Alquraishi S","Miller BK","Monchalov O","Kuznetsov P","Clavel B","Serres-Armero A","Crubezy E","Deschler-Erb S","Hemmer H","Valenzuela-Lamas S","Serrand N","Rajic Sikanjic P","Ludwig A","Dill N","Burger J","Erdenebaatar D","Palsdottir AH","Weinstock J","Orlando L","Gaunitz C","Usmanova E","Khasanov M","do Mar Oom M","Zaibert V","Schlumbaum A","Mohaseb FA","Granado JD","Logvin A","Khan N","Lougas L","Shevnina I"],"additional_accession":[]},"is_claimable":false,"name":"Tracking Five Millennia of Horse Management with Extensive Ancient Genome Time Series.","description":"Horse domestication revolutionized warfare and accelerated travel, trade, and the geographic expansion of languages. Here, we present the largest DNA time series for a non-human organism to date, including genome-scale data from 149 ancient animals and 129 ancient genomes (≥1-fold coverage), 87 of which are new. This extensive dataset allows us to assess the modern legacy of past equestrian civilizations. We find that two extinct horse lineages existed during early domestication, one at the far western (Iberia) and the other at the far eastern range (Siberia) of Eurasia. None of these contributed significantly to modern diversity. We show that the influence of Persian-related horse lineages increased following the Islamic conquests in Europe and Asia. Multiple alleles associated with elite-racing, including at the MSTN \"speed gene,\" only rose in popularity within the last millennium. Finally, the development of modern breeding impacted genetic diversity more dramatically than the previous millennia of human management.","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 May","modification":"2024-11-21T06:08:19.043Z","creation":"2019-07-24T07:09:31Z"},"accession":"S-EPMC6547883","cross_references":{"pubmed":["31056281"],"doi":["10.1016/j.cell.2019.03.049"]}}