The state of migration research has undergone rapid change since methods of analysis involving stable and radiogen isotopes and molecular genetics have started to be applied. At a conference held in Berlin in March 2010, groups whose research looks at population dynamics in pre and early, or in more recent history presented their insights about methodological approaches, research results and perspectives. The aim of this volume is to conduct a dialogue between archaeologists, geneticists and archaeometrists for the purpose of a reconstruction of (pre)historic population history. Joachim Burger, Johannes Gutenberg-Universität Mainz, Germany; Elke Kaiser and Wolfram Schier,Freie Universität Berlin, Germany.
We analyse new genomic data (0.05-2.95x) from 14 ancient individuals from Portugal distributed from the Middle Neolithic (4200-3500 BC) to the Middle Bronze Age (1740-1430 BC) and impute genomewide diploid genotypes in these together with published ancient Eurasians. While discontinuity is evident in the transition to agriculture across the region, sensitive haplotype-based analyses suggest a significant degree of local hunter-gatherer contribution to later Iberian Neolithic populations. A more subtle genetic influx is also apparent in the Bronze Age, detectable from analyses including haplotype sharing with both ancient and modern genomes, D-statistics and Y-chromosome lineages. However, the limited nature of this introgression contrasts with the major Steppe migration turnovers within third Millennium northern Europe and echoes the survival of non-Indo-European language in Iberia. Changes in genomic estimates of individual height across Europe are also associated with these major cultural transitions, and ancestral components continue to correlate with modern differences in stature. ; BEAN project of the Marie Curie Initial Training Network [289966]; Irish Research Council Government of Ireland Scholarship Scheme [GOIPG/2013/1219] ; info:eu-repo/semantics/publishedVersion
WOS: 000378272400038 ; PubMed ID: 27274049 ; Farming and sedentism first appeared in southwestern Asia during the early Holocene and later spread to neighboring regions, including Europe, along multiple dispersal routes. Conspicuous uncertainties remain about the relative roles of migration, cultural diffusion, and admixture with local foragers in the early Neolithization of Europe. Here we present paleogenomic data for five Neolithic individuals from northern Greece and northwestern Turkey spanning the time and region of the earliest spread of farming into Europe. We use a novel approach to recalibrate raw reads and call genotypes from ancient DNA and observe striking genetic similarity both among Aegean early farmers and with those from across Europe. Our study demonstrates a direct genetic link between Mediterranean and Central European early farmers and those of Greece and Anatolia, extending the European Neolithic migratory chain all the way back to southwestern Asia. ; Marie Curie Initial Training Network (BEAN/Bridging the European and Anatolian Neolithic) [GA 289966]; DFGGerman Research Foundation (DFG) [BU 1403/6-1, BO 4119/1]; Alexander von Humboldt FoundationAlexander von Humboldt Foundation; European Union (EU) SYNTHESYS/Synthesis of Systematic Resources [GA 226506-CP-CSA-INFRA]; VolkswagenstiftungVolkswagen [FKZ: 87161]; Irish Research CouncilIrish Research Council for Science, Engineering and Technology [GOIPG/2013/1219]; EU CodeX Project [295729]; EU Social Fund; Greek national funds research funding program THALES; Greek national funds research funding program ARISTEIA II; Swiss NSFSwiss National Science Foundation (SNSF) [31003A_156853, 31003A_149920]; BBSRCBiotechnology and Biological Sciences Research Council (BBSRC) [BB/L009382/1]; CoMPLEX via EPSRC [EP/F500351/1]; Sir Henry Dale Fellowship - Wellcome Trust [098386/Z/12/Z]; Sir Henry Dale Fellowship - Royal Society [098386/Z/12/Z]; National Institute for Health Research University College London Hospitals Biomedical Research Centre; Wellcome TrustWellcome Trust [100719/Z/12/Z]; University of Mainz; HPC cluster MOGON - DFG [INST 247/602-1 FUGG]; Netherlands Organization for Scientific ResearchNetherlands Organization for Scientific Research (NWO) [380-62-005]; Biotechnology and Biological Sciences Research CouncilBiotechnology and Biological Sciences Research Council (BBSRC) [BB/L009382/1]; Engineering and Physical Sciences Research CouncilEngineering & Physical Sciences Research Council (EPSRC) [1357822] ; We thank Songul Alpaslan for help with sampling in Barcin and Eleni Stravopodi for help with sampling in Theopetra. Z.H. and R.M. are supported by a Marie Curie Initial Training Network (BEAN/Bridging the European and Anatolian Neolithic, GA 289966) awarded to M.C., S.J.S., D.G.B., M.G.T., and J. Burger. C.P., J. Burger and S.K. received funding from DFG (BU 1403/6-1). C.P. and J. Burger received funding from the Alexander von Humboldt Foundation. C.S. and M.S. were supported by the European Union (EU) SYNTHESYS/Synthesis of Systematic Resources GA 226506-CP-CSA-INFRA, DFG: (BO 4119/1) and Volkswagenstiftung (FKZ: 87161). L.M.C. is funded by the Irish Research Council (GOIPG/2013/1219). A.S. was supported by the EU CodeX Project 295729. K. Kotsakis, S.T., D.U.-K., P.H., and C.P. were cofinanced by the EU Social Fund and Greek national funds research funding program THALES. C.P., M.U., K. Kotsakis, S.T., and D.U.-K. were cofinanced by the EU Social Fund and the Greek national funds research funding program ARISTEIA II. M.C. was supported by Swiss NSF Grant 31003A_156853. A. K. and D.W. were supported by Swiss NSF Grant 31003A_149920. S.L. is supported by the BBSRC (Grant BB/L009382/1). L.v.D. is supported by CoMPLEX via EPSRC (Grant EP/F500351/1). G.H. is supported by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (Grant 098386/Z/12/Z) and by the National Institute for Health Research University College London Hospitals Biomedical Research Centre. M.G.T. and Y.D. are supported by a Wellcome Trust Senior Research Fellowship Grant 100719/Z/12/Z (to M.G.T.). J. Burger is grateful for support by the University of Mainz and the HPC cluster MOGON (funded by DFG; INST 247/602-1 FUGG). F.G. was supported by Grant 380-62-005 of the Netherlands Organization for Scientific Research.
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. Genome-wide data from 278 ancient equids provide insights into how ancient equestrian civilizations managed, exchanged, and bred horses and indicate vast loss of genetic diversity as well as the existence of two extinct lineages of horses that failed to contribute to modern domestic animals. ; Taylor Family-Asia Foundation Endowed Chair in Ecology and Conservation Biology. M.L. was supported by a Marie-Curie Individual Fellowship (MSCA-IF-67852). L.L. was supported by the Estonian Research Council (PRG29). C.L. was supported by FCT (SFRH/BPD/100511/2014). P.K., N.R., and O.M. were supported by the Ministry of Educations and Science of Russian Federation (33.1907, 2017/P4) and the Russian Scientific Foundation (18-18-00137). T.M.-B. was supported by the BFU2017-86471-P (MINECO/FEDER, UE), the U01 MH106874 grant, Howard Hughes International Early Career, Obra Social ''La Caixa,'' and Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement de la Generalitat de Catalunya. V.P. was supported by Russian Science Foundation (16-18-10265) e Danish National Research Foundation (DNRF94), the Initiative d'Excellence Chaires d'attractivite´ , Universite´ de Toulouse (OURASI), the International Highly Cited Research Group Program (HCRC#15-101), Deanship of Scientific Research, King Saud University, the Villum Fonden miGENEPI research project, the Swiss National Science Foundation (CR13I1_140638), the Research Council of Norway (project 230821/F20); the investigation grant HAR2016-77600-P, Ministerio de Economía y Competitividad, Spain, and the National Science Foundation ANS1417036). This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement 681605)
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. ; B.B. was supported by the Taylor Family-Asia Foundation Endowed Chair in Ecology and Conservation Biology. M.L. was supported by a Marie-Curie Individual Fellowship (MSCA-IF-67852). L.L. was supported by the Estonian Research Council (PRG29). C.L. was supported by FCT (SFRH/BPD/100511/2014). P.K., N.R., and O.M. were supported by the Ministry of Educations and Science of Russian Federation (33.1907, 2017/Π4) and the Russian Scientific Foundation (18-18-00137). T.M.-B. was supported by the BFU2017-86471-P (MINECO/FEDER, UE), the U01 MH106874 grant, Howard Hughes International Early Career, Obra Social "La Caixa," and Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement de la Generalitat de Catalunya. V.P. was supported by Russian Science Foundation (16-18-10265). This research received support from the SYNTHESYS Project (http://www.synthesys.info/), which is financed by European Community Research Infrastructure Action under the Seventh Framework "Capacities" Programme. This work was supported by the Danish National Research Foundation (DNRF94), the Initiative d'Excellence Chaires d'attractivité, Université de Toulouse (OURASI), the International Highly Cited Research Group Program (HCRC#15-101), Deanship of Scientific Research, King Saud University, the Villum Fonden miGENEPI research project, the Swiss National Science Foundation (CR13I1_140638), the Research Council of Norway (project 230821/F20); the investigation grant HAR2016-77600-P, Ministerio de Economía y Competitividad, Spain, and the National Science Foundation (ANS-1417036). This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement 681605). ; Peer reviewed