The spatiotemporal patterns of major human admixture events during the European Holocene
Abstract
Recent studies have shown that admixture has been pervasive throughout human history. While several methods exist for dating admixture in contemporary populations, they are not suitable for sparse, low coverage ancient genomic data. Thus, we developed DATES that leverages ancestry covariance patterns across the genome of a single individual to infer the timing of admixture. DATES provides reliable estimates under various demographic scenarios and outperforms available methods for ancient DNA applications. Using DATES on ~1,100 ancient genomes, we reconstruct major gene flow events during European Holocene. By studying the genetic formation of Anatolian farmers, we infer that gene flow related to Iranian Neolithic farmers occurred before 9,600 BCE, predating the advent of agriculture in Anatolia. Contrary to the archaeological evidence, we estimate that early Steppe pastoralist groups (Yamnaya and Afanasievo) were genetically formed more than a millennium before the start of steppe pastoralism. Using time transect samples across sixteen regions, we provide a fine-scale chronology of the Neolithization of Europe and the rapid spread of Steppe pastoralist ancestry across Europe. Our analyses provide new insights on the origins and spread of farming and Indo-European languages, highlighting the power of genomic dating methods to elucidate the legacy of human migrations.
Data availability
All data analyzed during this study is publicly available at: https://reich.hms.harvard.edu/allen-ancient-dna-resource-aadr-downloadable-genotypes-present-day-and-ancient-dna-data
Article and author information
Author details
Funding
National Institutes of Health (R35GM142978)
- Priya Moorjani
Burroughs Wellcome Fund (Career Award at the Scientific Interface)
- Priya Moorjani
Alfred P. Sloan Foundation (Sloan Research Fellowship)
- Priya Moorjani
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2022, Chintalapati et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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