The genome of a Late Pleistocene human from a Clovis burial site in western Montana (original) (raw)

Accession codes

Accessions

GenBank/EMBL/DDBJ

Sequence Read Archive

Data deposits

Sequence data (fastq files) for Anzick-1 is available for download through NCBI SRA accession number SRX381032. Additionally, alignments and genotype calls are available for download at http://www.cbs.dtu.dk/suppl/clovis/. Raw reads (fastq files) and alignments (BAM files) for the two modern genomes sequenced in this study are available for demographic research under data access agreement with E.W. The Cervus elaphus sequences are available under GenBank accessions KF906070, KF906071 and KF906072.

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Acknowledgements

We thank the Danish National High-throughput DNA Sequencing Centre for help with sequencing, B. Henn and J. Kidd for assistance with Human Genome Diversity Project data, J. Keene for help with illustrations, M. Li, P. L. F. Johnson and M. Stoneking for help with the mtDNA analysis, L. A. Lahren for input to the site description and for establishing contact with the Native American groups, and J. E. Morrow, S. Fiedel and E. Lorenzen for comments on the manuscript. GeoGenetics were supported by the Lundbeck Foundation and the Danish National Research Foundation (DNRF94). M.D. was supported by the US National Science Foundation (grant DBI-1103639). A.-S.M. was supported by the Swiss National Science foundation. G.D.P. was supported by National Science Foundation (NSF) graduate research fellowship DGE-1147470. M.M., M.K., K.T. and L.S. were supported by the European Regional Development Fund through the Centre of Excellence in Genomics to Estonian Biocentre and University of Tartu, Estonian Basic Research (grant SF0270177As08) and Estonian Science Foundation (grant 8973). Computations in Uppsala were performed on resources provided by SNIC-UPPMAX (project b2012063) and in Tartu using the High Performance Computing Centre of the University of Tartu. A.E., V.M.W., M.C.L., F.B. and A.M. were supported by the Biotechnology and Biological Sciences Research Council (grant P25032 and BB/H005854/1). We thank the North Star Archaeological Research Program, Center for the Study of the First Americans, Texas A&M University, E. Hill, and Stafford Research, Inc. for funding some of the project.

Author information

Author notes

  1. Michael DeGiorgio & Ian Barnes
    Present address: Present addresses: Earth Sciences Department, Natural History Museum, Cromwell Road, London SW7 5BD, UK (I.B.); Department of Biology, Pennsylvania State University, 502 Wartik Laboratory, University Park, Pennsylvania 16802, USA (M.D.).,
  2. Morten Rasmussen and Sarah L. Anzick: These authors contributed equally to this work.

Authors and Affiliations

  1. Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, DK-1350 Copenhagen K, Denmark ,
    Morten Rasmussen, Thomas W. Stafford Jr, Anna-Sapfo Malaspinas, Morten E. Allentoft, Thorfinn Sand Korneliussen, Tracey L. Pierre, Jesper Stenderup, Ludovic Orlando & Eske Willerslev
  2. Anzick Family, 31 Old Clyde Park Road, Livingston, 59047, Montana, USA
    Sarah L. Anzick
  3. Departments of Anthropology and Geography, Center for the Study of the First Americans, Texas A&M University, 4352 TAMU, College Station, Texas 77843-4352, USA,
    Michael R. Waters
  4. Department of Evolutionary Biology, Uppsala University, Norbyvägen 18D, 752 36 Uppsala, Sweden,
    Pontus Skoglund & Mattias Jakobsson
  5. Department of Integrative Biology, University of California, Berkeley, 4134 Valley Life Sciences Building, Berkeley, California 94720, USA,
    Michael DeGiorgio & Rasmus Nielsen
  6. Department of Physics & Astronomy, AMS 14C Dating Centre, University of Aarhus, Ny Munkegade 120, DK-8000 Aarhus C, Denmark,
    Thomas W. Stafford Jr
  7. Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kemitorvet 208, Kgs. Lyngby DK-2800, Denmark,
    Simon Rasmussen, Valborg Gudmundsdottir, Rachita Yadav, Søren Brunak, Thomas Sicheritz-Ponten & Ramneek Gupta
  8. Department of Biology, The Bioinformatics Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen N, Denmark,
    Ida Moltke & Anders Albrechtsen
  9. Department of Human Genetics, University of Chicago, 920 E. 58th Street, CLSC 4th floor, Chicago, Illinois 60637, USA,
    Ida Moltke
  10. Education Department, Montana State University, Box 5103, Bozeman, Montana 59717, USA,
    Shane M. Doyle
  11. Program in Biomedical Informatics and Department of Statistics, Stanford University, Stanford, 94305, California, USA
    G. David Poznik
  12. Anthropology Department, PhD Program, University of Montana, 4100 Mullan Road, no. 217, Missoula, Montana 59808, USA,
    Samuel Stockton White V
  13. School of Biological Sciences, Washington State University, PO Box 644236, Eastlick Hall 395, Pullman, Washington 99164, USA ,
    Omar E. Cornejo
  14. Department of Evolutionary Biology, Estonian Biocentre and University of Tartu, Riia 23b, 51010 Tartu, Estonia,
    Kristiina Tambets, Monika Karmin, Lauri Saag & Mait Metspalu
  15. Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK,
    Anders Eriksson, Vera M. Warmuth & Andrea Manica
  16. Integrative Systems Biology Laboratory, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia ,
    Anders Eriksson
  17. School of Biological Sciences, Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK ,
    Peter D. Heintzman & Ian Barnes
  18. Department of Anthropology, Southern Methodist University, Dallas, 75275, Texas, USA
    David J. Meltzer
  19. Department of Genetics, Evolution and Environment, University College London, Gower Street, London WC1E 6BT, UK,
    Vera M. Warmuth & Margarida C. Lopes
  20. Department of Anthropology and Institute for Genomic Biology, University of Illinois Urbana-Champaign, 209F Davenport Hall, 607 Matthews Avenue, Urbana, Illinois 61801, USA,
    Ripan S. Malhi
  21. Departments of Biology, BioArCh, Archaeology and Chemistry, University of York, Wentworth Way, York YO10 5DD, UK,
    Matthew Collins
  22. Department of Infectious Disease Epidemiology, MRC Centre for Outbreak, Analysis and Modelling, Imperial College London, Imperial College Faculty of Medicine, London W2 1PG, UK,
    Francois Balloux
  23. Department of Genetics, School of Medicine, Stanford University, Littlefield Center, Stanford, 94305, California, USA
    Carlos D. Bustamante
  24. Center for Evolutionary and Human Genomics, Stanford University, Littlefield Center, Stanford, 94305, California, USA
    Carlos D. Bustamante
  25. Science for Life Laboratory, Uppsala University, Norbyvägen 18D, 752 36 Uppsala, Sweden ,
    Mattias Jakobsson

Authors

  1. Morten Rasmussen
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  2. Sarah L. Anzick
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  3. Michael R. Waters
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  4. Pontus Skoglund
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  5. Michael DeGiorgio
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  6. Thomas W. Stafford Jr
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  7. Simon Rasmussen
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  8. Ida Moltke
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  9. Anders Albrechtsen
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  10. Shane M. Doyle
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  11. G. David Poznik
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  12. Valborg Gudmundsdottir
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  13. Rachita Yadav
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  14. Anna-Sapfo Malaspinas
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  15. Samuel Stockton White V
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  16. Morten E. Allentoft
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  17. Omar E. Cornejo
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  18. Kristiina Tambets
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  19. Anders Eriksson
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  20. Peter D. Heintzman
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  21. Monika Karmin
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  22. Thorfinn Sand Korneliussen
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  23. David J. Meltzer
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  24. Tracey L. Pierre
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  25. Jesper Stenderup
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  26. Lauri Saag
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  27. Vera M. Warmuth
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  28. Margarida C. Lopes
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  29. Ripan S. Malhi
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  30. Søren Brunak
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  31. Thomas Sicheritz-Ponten
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  32. Ian Barnes
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  33. Matthew Collins
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  34. Ludovic Orlando
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  35. Francois Balloux
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  36. Andrea Manica
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  37. Ramneek Gupta
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  38. Mait Metspalu
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  39. Carlos D. Bustamante
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  40. Mattias Jakobsson
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  41. Rasmus Nielsen
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  42. Eske Willerslev
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Contributions

E.W., S.L.A., M.R.W. and T.W.S. conceived the project. E.W. headed the project. E.W. and M.R. designed the research project setup. R.N. supervised the bioinformatical and population genetic analyses with input from M.J. S.M.D., R.S.M. and T.L.P. helped with ethics and contact to local communities. S.L.A. and M.R.W. provided access to the Anzick-1 sample and the archaeological context, with input from S.S.W. and D.J.M. T.W.S. performed AMS 14C dating, stable isotope analyses and provided geochemical and geoarchaeological assessments. S.L.A. and J.S. performed initial mtDNA screening experiments. Elk extracts were processed by P.D.H. and I.B. Ancient DNA extractions and library constructs for shotgun sequencing and preparation for sequencing was done by M.R. O.E.C. prepared the two modern genomes. M.R. and S.R. did initial bioinformatics and mapping of the ancient sample. Mapping of modern samples, and genotype calls was done by S.R., with input from T.S.K., A.E., V.M.W. and M.C.L. S.R., T.S.-P. and S.B. provided super computing resources. O.E.C. and S.R. did phasing and ancestry painting, with input from A.E., V.M.W. and M.C.L. M.E.A. and M.C. did half-life estimates, with input on geology from T.W.S. DNA damage patterns were done by M.R. and L.O. mtDNA consensus and damage estimate was done by A.-S.M. I.M. and A.A. performed the X-chromosome contamination estimates, error rate estimates and _D_-statistic analyses on genomic sequence data. G.D.P. conducted Y-chromosome analysis with input from C.D.B. M.M. did ADMIXTURE analysis. K.T., M.K. and M.M. did mtDNA characterization. P.S. did _f_3-statistics on SNP array data and tested Native American population models using _D_-statistics. M.D. performed TreeMix analysis and genome-wide f 3 -statistics. R.N. and M.D. developed and implemented the ancestry test. M.R., S.L.A., M.R.W., P.S., M.D., R.N. and E.W. wrote most of the manuscript with input from T.W.S., M.E.A., A.-S.M., S.R., I.M., A.A., G.D.P., K.T., M.M., R.G., V.G., R.Y., P.D.H., O.E.C., M.C., F.B., A.M., L.S. and the remaining authors.

Corresponding author

Correspondence toEske Willerslev.

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Competing interests

The authors declare no competing financial interests.

Extended data figures and tables

Extended Data Figure 1 DNA fragmentation, damage and type-specific error.

a, Left, fragment length distribution of the Anzick-1 DNA sequences mapping to a human reference genome. The maximum read length with the applied chemistry on the HiSeq Illumina platform is 94 base pairs (100 − 6 base pair index read), hence the large peak at this length simply represents the entire tail of the distribution. Right, the declining part of the distribution for the nuclear DNA, and the fit to an exponential model. The decay constant (λ) is estimated to 0.018. b, Damage patterns for the Anzick-1 individual in a random 0.5% subset of all mapped reads. Mismatch frequency relative to the reference as function of read position, C to T in red and G to A in blue. c, Type-specific error rates for the Anzick-1 sample and the individual libraries. Estimates of overall error rates are given on the right.

Extended Data Figure 2 mtDNA and Y-chromosome subtrees.

a, Schematic phylogenetic tree of mtDNA haplogroup D4h3 and its sub-branch D4h3a. Mutations from the root of haplogroup D4h are specified only for haplogroup D4h3a lineage; diagnostic mutations are shown only for defined sub-branches on solid lines. The haplotypes of Anzick-1, identical with the root haplotype of D4h3a, and an ancient full sequence from the northwestern coast of North America (Ancient939), are indicated in red. Insertions are indicated with ‘.’ followed by a number of inserted nucleotides (X if not specified), deletions are indicated with ‘d’ and back mutations to ancestral state with ‘!’. The geographical spread of sub-branches of haplogroup D4h is shown with different colours specified in figure legend. b, Placement of Anzick-1 within the Y-chromosome phylogeny. Anzick-1 (circled) represents Y-chromosome haplogroup Q-L54*(xM3) (blue), which is offset by haplogroup Q-M3 (dark blue). The lineage carried by the ancient Saqqaq Palaeo-Eskimo (light blue) constitutes an outgroup to Q-L54. Each branch is labelled by an index and the number of transversion SNPs assigned to the branch (in brackets). Terminal taxa (individuals) are also labelled by population, ID and haplogroup. Branches 21 and 25 represent the most recent shared ancestry between Anzick-1 and other members of the sample. Branch 19 is considerably shorter than neighbouring branches, which have had an additional ∼12,600 years to accumulate mutations.

Extended Data Figure 3 Ancestry proportions of Anzick-1 as determined by Admixture assuming the number of hypothetical ‘ancestral’ populations or genetic components, K, is 3 to 5 and 9 to 11 for a set of 135 extant Eurasian, Oceanian and New World populations.

Shown are results from one of the converged runs at each K. We note that the model at K = 11 was found to have the best predictive accuracy as determined by the lowest cross validation index values (see Supplementary Information). At each K each sample is represented by a stacked vertical bar whereas these of Anzick-1 are magnified and presented horizontally at the top. Note that irrespective of the number of genetic components, K, assumed, the Anzick-1 sample shares all the components present in different contemporary Native American populations.

Extended Data Figure 4 Anzick-1 is closer to Central/Southern Native Americans than Northern Native Americans.

a–d, The closer relationship between Anzick-1 and Southern Native Americans compared to Algonquin, Cree, Ojibwa and a Yaqui individual is consistent for different 44 Southern and Central Native American populations to Anzick-1. We used the test D(Han, Anzick-1; Algonquin/Cree/Ojibwa/Yaqui, Central/Southern Native Americans). Thick and thin whiskers represent 1 and 3 standard errors, respectively.

Extended Data Figure 5 Outgroup f 3 -statistics contrasted for different combinations of populations.

a, Shared genetic history with Anzick-1 compared to shared genetic history with the three Northern Amerind-speaking populations. b, c, Shared genetic history with the Anzick-1 individual compared to the ∼4,000-year-old Saqqaq from Greenland. d, e, Anzick-1 compared to shared genetic history with the 24,000-year-old MA-1 individual from Central Siberia. f, g, Shared genetic history with Anzick-1 compared to shared genetic history with the 40,000-year-old Tianyuan individual from China.

Extended Data Table 1 Accelerator Mass Spectrometry (AMS) 14C and stable isotope analyses of human bone and antler artefacts from the Anzick site, Montana

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Extended Data Table 2 Statistics of the genome sequence data used in the study and high-confidence genotype calls

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Extended Data Table 3 Sequencing and mapping statistics for the Anzick-1 libraries

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Extended Data Table 4 Site patterns and drift estimates for non-African populations versus the Anzick-1 sample

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Supplementary information

Supplementary Information

This file contains Supplementary Text and Supplementary References – see contents page for details. (PDF 770 kb)

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Rasmussen, M., Anzick, S., Waters, M. et al. The genome of a Late Pleistocene human from a Clovis burial site in western Montana.Nature 506, 225–229 (2014). https://doi.org/10.1038/nature13025

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