Million-year-old DNA sheds light on the genomic history of mammoths
van der Valk TPapers in this archive, Pečnerová PPapers in this archive, Díez-Del-Molino DPapers in this archive, Bergström APapers in this archive, Oppenheimer JPapers in this archive, Hartmann SPapers in this archive, Xenikoudakis GPapers in this archive, Thomas JAPapers in this archive, Dehasque MPapers in this archive, Sağlıcan EPapers in this archive, Fidan FRPapers in this archive, Barnes IPapers in this archive, Liu SPapers in this archive, Somel MPapers in this archive, Heintzman PDPapers in this archive, Nikolskiy PPapers in this archive, Shapiro BPapers in this archive, Skoglund PPapers in this archive, Hofreiter MPapers in this archive, Lister AMPapers in this archive, Götherström APapers in this archive, Dalén LPapers in this archive
Abstract
Temporal genomic data hold great potential for studying evolutionary processes, including speciation. However, sampling across speciation events would in many cases require genomic time series that stretch well into the Early Pleistocene (>1 million years). Although theoretical models suggest that DNA should survive on this timescale1, the oldest genomic data recovered so far is from a 560-780 ka old horse specimen2. Here we report the recovery of genome-wide data from three Early and Middle Pleistocene mammoth specimens, 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 gave rise to the woolly mammoth, whereas the other represents a previously unrecognised lineage that was ancestral to the first mammoths to colonise North America. Our analyses reveal that the North American Columbian mammoth traces its ancestry to a Middle Pleistocene hybridisation 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 present already a million years ago. These findings highlight the potential of deep time palaeogenomics to expand our understanding of speciation and long-term adaptive evolution.
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