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1,000 ancient genomes uncover 10,000 years of natural selection in Europe

View ORCID ProfileMegan K. Le, Olivia S. Smith, Ali Akbari, View ORCID ProfileArbel Harpak, View ORCID ProfileDavid Reich, View ORCID ProfileVagheesh M. Narasimhan
doi: https://doi.org/10.1101/2022.08.24.505188
Megan K. Le
1Department of Computer Science, The University of Texas at Austin
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Olivia S. Smith
2Department of Integrative Biology, The University of Texas at Austin
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Ali Akbari
3Department of Genetics, Harvard Medical School
4Department of Human Evolutionary Biology, Harvard University
7Broad Institute of MIT and Harvard
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Arbel Harpak
2Department of Integrative Biology, The University of Texas at Austin
5Department of Population Health, Dell Medical School
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  • For correspondence: vagheesh@utexas.edu reich@genetics.med.harvard.edu arbelharpak@utexas.edu
David Reich
3Department of Genetics, Harvard Medical School
4Department of Human Evolutionary Biology, Harvard University
6Howard Hughes Medical Institute, Harvard Medical School
7Broad Institute of MIT and Harvard
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  • For correspondence: vagheesh@utexas.edu reich@genetics.med.harvard.edu arbelharpak@utexas.edu
Vagheesh M. Narasimhan
2Department of Integrative Biology, The University of Texas at Austin
8Department of Statistics and Data Science, The University of Texas at Austin
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  • For correspondence: vagheesh@utexas.edu reich@genetics.med.harvard.edu arbelharpak@utexas.edu
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Abstract

Ancient DNA has revolutionized our understanding of human population history. However, its potential to examine how rapid cultural evolution to new lifestyles may have driven biological adaptation has not been met, largely due to limited sample sizes. We assembled genome-wide data from 1,291 individuals from Europe over 10,000 years, providing a dataset that is large enough to resolve the timing of selection into the Neolithic, Bronze Age, and Historical periods. We identified 25 genetic loci with rapid changes in frequency during these periods, a majority of which were previously undetected. Signals specific to the Neolithic transition are associated with body weight, diet, and lipid metabolism-related phenotypes. They also include immune phenotypes, most notably a locus that confers immunity to Salmonella infection at a time when ancient Salmonella genomes have been shown to adapt to human hosts, thus providing a possible example of human-pathogen co-evolution. In the Bronze Age, selection signals are enriched near genes involved in pigmentation and immune-related traits, including at a key human protein interactor of SARS-CoV-2. Only in the Historical period do the selection candidates we detect largely mirror previously-reported signals, highlighting how the statistical power of previous studies was limited to the last few millennia. The Historical period also has multiple signals associated with vitamin D binding, providing evidence that lactase persistence may have been part of an oligogenic adaptation for efficient calcium uptake and challenging the theory that its adaptive value lies only in facilitating caloric supplementation during times of scarcity. Finally, we detect selection on complex traits in all three periods, including selection favoring variants that reduce body weight in the Neolithic. In the Historical period, we detect selection favoring variants that increase risk for cardiovascular disease plausibly reflecting selection for a more active inflammatory response that would have been adaptive in the face of increased infectious disease exposure. Our results provide an evolutionary rationale for the high prevalence of these deadly diseases in modern societies today and highlight the unique power of ancient DNA in elucidating biological change that accompanied the profound cultural transformations of recent human history.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted August 26, 2022.
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1,000 ancient genomes uncover 10,000 years of natural selection in Europe
Megan K. Le, Olivia S. Smith, Ali Akbari, Arbel Harpak, David Reich, Vagheesh M. Narasimhan
bioRxiv 2022.08.24.505188; doi: https://doi.org/10.1101/2022.08.24.505188
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1,000 ancient genomes uncover 10,000 years of natural selection in Europe
Megan K. Le, Olivia S. Smith, Ali Akbari, Arbel Harpak, David Reich, Vagheesh M. Narasimhan
bioRxiv 2022.08.24.505188; doi: https://doi.org/10.1101/2022.08.24.505188

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