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Nature
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Parallel palaeogenomic transects reveal complex genetic history of early European farmers

Naturevolume 551pages368–372 (2017)Cite this article

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Abstract

Ancient DNA studies have established that Neolithic European populations were descended from Anatolian migrants1,2,3,4,5,6,7,8 who received a limited amount of admixture from resident hunter-gatherers3,4,5,9. Many open questions remain, however, about the spatial and temporal dynamics of population interactions and admixture during the Neolithic period. Here we investigate the population dynamics of Neolithization across Europe using a high-resolution genome-wide ancient DNA dataset with a total of 180 samples, of which 130 are newly reported here, from the Neolithic and Chalcolithic periods of Hungary (6000–2900bc,n = 100), Germany (5500–3000bc,n = 42) and Spain (5500–2200bc,n = 38). We find that genetic diversity was shaped predominantly by local processes, with varied sources and proportions of hunter-gatherer ancestry among the three regions and through time. Admixture between groups with different ancestry profiles was pervasive and resulted in observable population transformation across almost all cultural transitions. Our results shed new light on the ways in which gene flow reshaped European populations throughout the Neolithic period and demonstrate the potential of time-series-based sampling and modelling approaches to elucidate multiple dimensions of historical population interactions.

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Figure 1: Spatial and temporal contexts of European Neolithic samples.
Figure 2: Admixture parameters for test individuals and populations.
Figure 3: Hungary time series and simulated data.

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Acknowledgements

We thank I. Lazaridis, P.-R. Loh, I. Mathieson, I. Olalde, E. Palkopoulou, N. Patterson and P. Skoglund for helpful comments and suggestions; J. Krause for providing the Stuttgart sample for which we generated a new library in this study; A. Whittle and A. Bayliss from The Times of Their Lives project for providing the radiocarbon date for sample VEJ5a; and B. Havasi (Balaton Museum), G. V. Székely (Katona József Museum), C. Farkas (Dobó István Museum), B. Nagy (Herman Ottó Museum), I. Pap, A. Kustár, T. Hajdu (Hungarian Natural History Museum), J. Ódor (Wosinsky Mór Museum), E. Nagy (Janus Pannonius Museum), P. Rácz (King St Stephen Museum), L. Szathmáry (Debrecen University), N. Kalicz, V. Voicsek, O. Vajda-Kiss, V. Majerik and I. Ko˝vári for assistance with samples. This work was supported by the Australian Research Council (grant DP130102158 to B.L. and W.H.), Hungarian National Research, Development and Innovation Office (K 119540 to B.M.), German Research Foundation (Al 287/7-1, 10-1 and 14-1 to K.W.A.), FEDER and Ministry of Economy and Competitiveness of Spain (BFU2015-64699-P to C.L.-F.), National Science Foundation (HOMINID grant BCS-1032255 to D.R.), National Institutes of Health (NIGMS grant GM100233 to D.R.), and Howard Hughes Medical Institute (D.R.).

Author information

Author notes
  1. Mark Lipson and Anna Szécsényi-Nagy: These authors contributed equally to this work.

Authors and Affiliations

  1. Department of Genetics, Harvard Medical School, Boston, 02115, Massachusetts, USA

    Mark Lipson, Swapan Mallick, Nadin Rohland, Kristin Stewardson, Matthew Ferry, Megan Michel, Jonas Oppenheimer, Nasreen Broomandkhoshbacht, Eadaoin Harney, Susanne Nordenfelt & David Reich

  2. Institute of Archaeology, Research Centre for the Humanities, Hungarian Academy of Sciences, Budapest, 1097, Hungary

    Anna Szécsényi-Nagy, Annamária Pósa, Balázs Stégmár, Balázs Gusztáv Mende, Kitti Köhler, Krisztián Oross, Mária Bondár, Tibor Marton, Anett Osztás, János Jakucs, Gábor Serlegi & Eszter Bánffy

  3. Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, 02142, Massachusetts, USA

    Swapan Mallick & David Reich

  4. Institute of Organismic and Molecular Evolution, Johannes Gutenberg University Mainz, Mainz, 55128, Germany

    Victoria Keerl, Ruth Bollongino & Joachim Burger

  5. Howard Hughes Medical Institute, Harvard Medical School, Boston, 02115, Massachusetts, USA

    Kristin Stewardson, Matthew Ferry, Megan Michel, Jonas Oppenheimer, Nasreen Broomandkhoshbacht, Eadaoin Harney & David Reich

  6. Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, 5005, South Australia, Australia

    Bastien Llamas, Alan Cooper & Wolfgang Haak

  7. Móra Ferenc Museum, Szeged 6720, Hungary

    Tibor Paluch & Ferenc Horváth

  8. Herman Ottó Museum, Miskolc 3529, Hungary

    Piroska Csengeri & Judit Koós

  9. Institute of Archaeological Sciences, Eötvös Loránd University, Budapest, 1088, Hungary

    Katalin Sebők, Alexandra Anders & Pál Raczky

  10. Laczkó Dezso˝ Museum, Veszprém 8200, Hungary

    Judit Regenye

  11. Balaton Museum, Keszthely 8360, Hungary

    Judit P. Barna

  12. Department of Archaeological Excavations and Artefact Processing, Hungarian National Museum, Budapest, 1088, Hungary

    Szilvia Fábián

  13. Jósa András Museum, Nyíregyháza 4400, Hungary

    Zoltán Toldi

  14. Déri Museum, Debrecen 4026, Hungary

    Emese Gyöngyvér Nagy & János Dani

  15. Department of Biological Anthropology, Szeged University, Szeged 6726, Hungary

    Erika Molnár & György Pálfi

  16. Department of Biochemistry and Medical Chemistry, University of Pécs, Pécs, 7624, Hungary

    László Márk

  17. Imaging Center for Life and Material Sciences, University of Pécs, Pécs, 7624, Hungary

    László Márk

  18. Szentágothai Research Center, University of Pécs, Pécs, 7624, Hungary

    László Márk, Béla Melegh & Zsolt Bánfai

  19. PTE-MTA Human Reproduction Research Group, Pécs, 7624, Hungary

    László Márk

  20. Department of Medical Genetics and Szentágothai Research Center, University of Pécs, Pécs 7624, Hungary

    Béla Melegh & Zsolt Bánfai

  21. Dobó István Castle Museum, Eger, 3300, Hungary

    László Domboróczki

  22. Department of Geography, Prehistory, and Archaeology, University of the Basque Country, Investigation Group IT622-13, Vitoria-Gasteiz 01006, Spain

    Javier Fernández-Eraso & José Antonio Mujika-Alustiza

  23. CRONOS SC, Burgos 09007, Spain

    Carmen Alonso Fernández & Javier Jiménez Echevarría

  24. Department of Prehistoric Archaeology, Free University of Berlin, Berlin 14195, Germany

    Jörg Orschiedt

  25. Curt-Engelhorn-Centre Archaeometry gGmbH, Mannheim 68159, Germany

    Jörg Orschiedt

  26. Commission for Westphalian Antiquities, Westphalia-Lippe Regional Association, Münster, 48157, Germany

    Kerstin Schierhold

  27. State Office for Heritage Management and Archaeology Saxony-Anhalt and State Heritage Museum, Halle 06114, Germany

    Harald Meller

  28. Environment Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia

    Alan Cooper

  29. Romano-Germanic Commission, German Archaeological Institute, Frankfurt am Main 60325, Germany

    Eszter Bánffy

  30. Center of Natural and Cultural History of Man, Danube Private University, Krems-Stein 3500, Austria

    Kurt W. Alt

  31. Department of Biomedical Engineering, University of Basel, Allschwil 4123, Switzerland

    Kurt W. Alt

  32. Institute for Integrative Prehistory and Archaeological Science, University of Basel, Basel 4055, Switzerland

    Kurt W. Alt

  33. Institute of Evolutionary Biology (CSIC-UPF), Barcelona 08003, Spain

    Carles Lalueza-Fox

  34. Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany

    Wolfgang Haak

Authors
  1. Mark Lipson
  2. Anna Szécsényi-Nagy
  3. Swapan Mallick
  4. Annamária Pósa
  5. Balázs Stégmár
  6. Victoria Keerl
  7. Nadin Rohland
  8. Kristin Stewardson
  9. Matthew Ferry
  10. Megan Michel
  11. Jonas Oppenheimer
  12. Nasreen Broomandkhoshbacht
  13. Eadaoin Harney
  14. Susanne Nordenfelt
  15. Bastien Llamas
  16. Balázs Gusztáv Mende
  17. Kitti Köhler
  18. Krisztián Oross
  19. Mária Bondár
  20. Tibor Marton
  21. Anett Osztás
  22. János Jakucs
  23. Tibor Paluch
  24. Ferenc Horváth
  25. Piroska Csengeri
  26. Judit Koós
  27. Katalin Sebők
  28. Alexandra Anders
  29. Pál Raczky
  30. Judit Regenye
  31. Judit P. Barna
  32. Szilvia Fábián
  33. Gábor Serlegi
  34. Zoltán Toldi
  35. Emese Gyöngyvér Nagy
  36. János Dani
  37. Erika Molnár
  38. György Pálfi
  39. László Márk
  40. Béla Melegh
  41. Zsolt Bánfai
  42. László Domboróczki
  43. Javier Fernández-Eraso
  44. José Antonio Mujika-Alustiza
  45. Carmen Alonso Fernández
  46. Javier Jiménez Echevarría
  47. Ruth Bollongino
  48. Jörg Orschiedt
  49. Kerstin Schierhold
  50. Harald Meller
  51. Alan Cooper
  52. Joachim Burger
  53. Eszter Bánffy
  54. Kurt W. Alt
  55. Carles Lalueza-Fox
  56. Wolfgang Haak
  57. David Reich

Contributions

A.S.-N., J.B., E.B., K.W.A., C.L.-F., W.H. and D.R. designed and supervised the study. B.G.M., K.K., K.O., M.B., T.M., A.O., J.J., T.P., F.H., P.C., J.K., K.Se., A.A., P.R., J.R., J.P.B., S.F., G.S., Z.T., E.G.N., J.D., E.M., G.P., L.M., B.M., Z.B., L.D., J.F.-E., J.A.M.-A., C.A.F., J.J.E., R.B., J.Or., K.Sc., H.M., A.C., J.B., E.B., K.W.A., C.L.-F. and W.H. provided samples and assembled archaeological and anthropological information. A.S.-N., A.P., B.S., V.K., N.R., K.St., M.F., M.M., J.Op., N.B., E.H., S.N. and B.L. performed laboratory work. M.L., A.S.-N., S.M. and D.R. analysed genetic data. M.L., A.S.-N. and D.R. wrote the manuscript with input from all coauthors.

Corresponding authors

Correspondence toMark Lipson,Anna Szécsényi-Nagy orDavid Reich.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Additional information

Reviewer InformationNature thanks P. Bellwood and the other anonymous reviewer(s) for their contribution to the peer review of this work.

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data figures and tables

Extended Data Figure 1 First two principal components from the PCA.

We computed the principal components (PCs) for a set of 782 present-day western Eurasian individuals genotyped on the Affymetrix Human Origins array (background grey points) and then projected ancient individuals onto these axes. A close-up omitting the present-day Bedouin population is shown.

Extended Data Figure 2 Scaffold admixture graph used for modelling the European Neolithic populations.

Dotted lines denote admixture events. Neolithic Anatolians, LB1 and KO1 are modelled as admixed, with basal Eurasian ancestry, deeper European hunter-gatherer ancestry and FEF ancestry, respectively. European test populations were fitted as a mixture of FEF and ancestry related to one or two of the four WHG individuals (here VIL-related as an example). SeeSupplementary Information section 6 for details.

Extended Data Figure 3 Examples of ALDER weighted linkage disequilibrium decay curves.

Weighted linkage disequilibrium (LD) curves are shown as a function of genetic distanced, using Neolithic Anatolians and WHG as references, for four individuals: BAM17b (Starčevo Early Neolithic), CB13 (Iberia Early Neolithic), Bla8 (Blätterhöhle hunter-gatherer) and KO1. The results shown here use helper individuals M11-363 (Neolithic Anatolian), L11-322 (Neolithic Anatolian), BIC and LB1, respectively, and have fitted dates (blue curves) of 3.8 ± 1.2, 18.3 ± 6.0, 13.1 ± 2.7 and 21.6 ± 8.8 generations (compared to final individual-level dates of 4.5 ± 1.9, 17.5 ± 3.5, 12.1 ± 2.9 and 21.0 ± 7.0 generations; seeSupplementary Information section 7). Note that thex-axis scales are different for the four plots.

Extended Data Figure 4 Hunter-gatherer ancestry as a function of latitude and longitude for Neolithic individuals.

a,b, Early and Middle Neolithic Hungary.c,d, Late Neolithic and Chalcolithic Hungary.e,f, Iberia. HG, hunter-gatherer; Protob., Protoboleráz.

Extended Data Figure 5 Germany and Iberia time series and simulated data.

a, Dates of admixture.b, Hunter-gatherer ancestry proportions, normalized to the total of the most recent (rightmost) population. Symbols are as inFigs 1,2 and indicate population-level mean ± 2 s.e.m. Yellow dashed lines represent continuous admixture simulations: from top to bottom, diminishing 5% per generation, diminishing 3%, diminishing 1% and uniform. Green solid lines represent pulse-plus-continuous admixture simulations: from top to bottom, all hunter-gatherer ancestry in a pulse at time zero; three-quarters of final hunter-gatherer ancestry in an initial pulse followed by uniform continuous gene flow; half in initial pulse and half continuous; and one-quarter in initial pulse.

Extended Data Table 1 Information for the Neolithic individuals from Hungary
Extended Data Table 2 Information for the Neolithic individuals from Germany and Spain
Extended Data Table 3 Admixture graph results for Neolithic populations
Extended Data Table 4 Mean dates of admixture for Neolithic populations

Supplementary information

Supplementary Information

This file contains Supplementary Notes 1-9. (PDF 3722 kb)

Supplementary Table 1

This file contains detailed sample information. (XLSX 92 kb)

Supplementary Table 2

This file contains detailed mitochondrial genome results. (XLSX 59 kb)

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Lipson, M., Szécsényi-Nagy, A., Mallick, S.et al. Parallel palaeogenomic transects reveal complex genetic history of early European farmers.Nature551, 368–372 (2017). https://doi.org/10.1038/nature24476

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Editorial Summary

Early European union of farmers

David Reich and colleagues analyse genome-wide data from 180 individuals from the Neolithic and Chalcolithic periods of Hungary, Germany and Spain to study the population dynamics of Neolithization in European prehistory. They examine how gene flow reshaped European populations during the Neolithic period, including pervasive admixture—the interbreeding between previously isolated populations—between groups with different ancestry profiles. In each region, they find that the arrival of farmers prompted admixture with local hunter-gatherers, over the course of 3,000 years.

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