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DOI 10.1016/j.biosystems.2026.105906

Медицинская библиотека · Bio Systems · 2026

Genomic history of the Caucasus: A systematic review and meta-analysis of ancient DNA studies.

Dzhaubermezov Murat A, Gabidullina Liliya R, Ekomasova Natalia V, Khusnutdinova Elza K

СтатьяСистематический обзорМетаанализПеревод в очереди

Аннотация

The Caucasus region represents a unique natural laboratory for paleogenetic research due to its complex topography, long-standing role as a migratory corridor and glacial refugium, and exceptional preservation conditions for ancient DNA. This review synthesizes recent genome-wide studies to reconstruct the demographic history shaping the distinctive genetic landscape of modern Caucasus populations. The analysis reveals a deep pattern of continuity, isolation, and periodic admixture. Early genetic differentiation emerged in the Neolithic and Chalcolithic, forming distinct steppe and mountain population clusters. The Bronze Age was a pivotal period marked by large-scale gene flow from the Eurasian Steppe, particularly linked to the Yamnaya expansion, and interactions with Iranian and Anatolian-related groups. Despite these influences, many populations demonstrate remarkable genetic continuity from the Bronze Age to the present day. Significant knowledge gaps persist, particularly for the Paleolithic, Mesolithic, and Neolithic of the North Caucasus, as well as for the Late Medieval and Early Modern periods across the entire region. Addressing these gaps through targeted archaeogenomic studies is crucial for understanding the fine-scale processes that formed the hierarchical structure and high linguistic diversity of Caucasus populations, offering a powerful model for studying human adaptation, interaction, and language-genetics dynamics in a mountainous environment.

Для цитирования: Dzhaubermezov Murat A, Gabidullina Liliya R, Ekomasova Natalia V, Khusnutdinova Elza K. Genomic history of the Caucasus: A systematic review and meta-analysis of ancient DNA studies.. Bio Systems. 2026. DOI: 10.1016/j.biosystems.2026.105906.

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