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Million-year-old DNA sheds light on the genomic history of mammoths

Author

Listed:
  • Tom van der Valk

    (Centre for Palaeogenetics
    Swedish Museum of Natural History
    Uppsala University)

  • Patrícia Pečnerová

    (Swedish Museum of Natural History
    Stockholm University
    University of Copenhagen)

  • David Díez-del-Molino

    (Centre for Palaeogenetics
    Swedish Museum of Natural History
    Stockholm University)

  • Anders Bergström

    (The Francis Crick Institute)

  • Jonas Oppenheimer

    (University of California Santa Cruz)

  • Stefanie Hartmann

    (University of Potsdam)

  • Georgios Xenikoudakis

    (University of Potsdam)

  • Jessica A. Thomas

    (University of Potsdam)

  • Marianne Dehasque

    (Centre for Palaeogenetics
    Swedish Museum of Natural History
    Stockholm University)

  • Ekin Sağlıcan

    (Middle East Technical University)

  • Fatma Rabia Fidan

    (Middle East Technical University)

  • Ian Barnes

    (Natural History Museum)

  • Shanlin Liu

    (China Agricultural University)

  • Mehmet Somel

    (Middle East Technical University)

  • Peter D. Heintzman

    (UiT – The Arctic University of Norway)

  • Pavel Nikolskiy

    (Russian Academy of Sciences)

  • Beth Shapiro

    (University of California Santa Cruz
    University of California Santa Cruz)

  • Pontus Skoglund

    (The Francis Crick Institute)

  • Michael Hofreiter

    (University of Potsdam)

  • Adrian M. Lister

    (Natural History Museum)

  • Anders Götherström

    (Centre for Palaeogenetics
    Stockholm University)

  • Love Dalén

    (Centre for Palaeogenetics
    Swedish Museum of Natural History
    Stockholm University)

Abstract

Temporal genomic data hold great potential for studying evolutionary processes such as speciation. However, sampling across speciation events would, in many cases, require genomic time series that stretch well back into the Early Pleistocene subepoch. Although theoretical models suggest that DNA should survive on this timescale1, the oldest genomic data recovered so far are from a horse specimen dated to 780–560 thousand years ago2. Here we report the recovery of genome-wide data from three mammoth specimens dating to the Early and Middle Pleistocene subepochs, two of which are more than one million years old. We find that two distinct mammoth lineages were present in eastern Siberia during the Early Pleistocene. One of these lineages gave rise to the woolly mammoth and the other represents a previously unrecognized lineage that was ancestral to the first mammoths to colonize North America. Our analyses reveal that the Columbian mammoth of North America traces its ancestry to a Middle Pleistocene hybridization between these two lineages, with roughly equal admixture proportions. Finally, we show that the majority of protein-coding changes associated with cold adaptation in woolly mammoths were already present one million years ago. These findings highlight the potential of deep-time palaeogenomics to expand our understanding of speciation and long-term adaptive evolution.

Suggested Citation

  • Tom van der Valk & Patrícia Pečnerová & David Díez-del-Molino & Anders Bergström & Jonas Oppenheimer & Stefanie Hartmann & Georgios Xenikoudakis & Jessica A. Thomas & Marianne Dehasque & Ekin Sağlıcan, 2021. "Million-year-old DNA sheds light on the genomic history of mammoths," Nature, Nature, vol. 591(7849), pages 265-269, March.
  • Handle: RePEc:nat:nature:v:591:y:2021:i:7849:d:10.1038_s41586-021-03224-9
    DOI: 10.1038/s41586-021-03224-9
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    Cited by:

    1. Jiongyu Zhang & Chengyu Hou & Changchun Liu, 2024. "CRISPR-powered quantitative keyword search engine in DNA data storage," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Lifu Song & Feng Geng & Zi-Yi Gong & Xin Chen & Jijun Tang & Chunye Gong & Libang Zhou & Rui Xia & Ming-Zhe Han & Jing-Yi Xu & Bing-Zhi Li & Ying-Jin Yuan, 2022. "Robust data storage in DNA by de Bruijn graph-based de novo strand assembly," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Cheng Kai Lim & Jing Wui Yeoh & Aurelius Andrew Kunartama & Wen Shan Yew & Chueh Loo Poh, 2023. "A biological camera that captures and stores images directly into DNA," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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