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Genetic characterization and meta-analysis of the population of the Northern Black Sea region in the 1st millennium CE based on ancient DNA data

https://doi.org/10.18699/vjgb-26-66

Abstract

Over the past two decades, the introduction of whole-genome sequencing analysis of ancient DNA has led to a breakthrough in archaeogenetic research, significantly expanding our understanding of human genetic history. In this context the Northern Black Sea region during first millennium CE (1–1,000 CE) is of particular relevance, as it remained a hub of intense cultural exchange and migration. Despite its historical importance, ancient genomic data from this period remains scarce, and a comprehensive synthesis of existing findings is lacking. This study presents a systematic review and meta-analysis of published whole-genome sequencing data from 48 ancient samples associated with key archaeological cultures of the region: Late Scythian, Sarmatian, Alan, Bulgar, Saltovo-Mayaki and Chernyakhov. Through the systematization of data, we trace genetic continuity at Late Scythian and Alanian sites relative to preceding populations. Episodes of large-scale migration and population replacement have been documented, most clearly evident in the Sarmatian expansion of the 1st–4th centuries CE, with genetic traces extending from the Urals to the Carpathians. Based on limited evidence, genetic continuity has been identified between representatives of the Chernyakhov culture and early Slavic groups. Through our meta-analysis, we further detect intercultural connections between the Alans, Bulgars, and bearers of the Saltovo-Mayaki culture, whose genetic structure reveals the influence of Caucasian and East Eurasian components. Collectively, these findings underscore the complex genetic landscape of the region, shaped by successive migration waves and multifaceted intercultural contacts. We conclude by outlining key unresolved questions and future directions for archaeogenetic research in the Northern Black Sea region during the first millennium CE.

About the Authors

E. D. Aituganova
Sirius University of Science and Technology
Russian Federation

Sirius Federal Territory, Krasnodar region



A. S. Kon’kov
Sirius University of Science and Technology
Russian Federation

Sirius Federal Territory, Krasnodar region



T. V. Andreeva
Sirius University of Science and Technology; Vavilov Institute of General Genetics of the Russian Academy of Sciences; Centre of Genetics and Genetic Technologies, Department of Genetics, Faculty of Biology, Lomonosov Moscow State University
Russian Federation

Sirius Federal Territory, Krasnodar region; Moscow



E. V. Rozhdestvenskikh
Sirius University of Science and Technology
Russian Federation

Sirius Federal Territory, Krasnodar region



A. D. Manakhov
Sirius University of Science and Technology; Vavilov Institute of General Genetics of the Russian Academy of Sciences
Russian Federation

Sirius Federal Territory, Krasnodar region; Moscow



E. I. Rogaev
Sirius University of Science and Technology; Department of Psychiatry, UMass Chan Medical School
Russian Federation

Sirius Federal Territory, Krasnodar region; Shrewsburry, MA, USA



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