Genetic continuity, isolation, and gene flow in Stone Age Central and Eastern Europe
Mattila TMPapers in this archive, Svensson EMPapers in this archive, Juras APapers in this archive, Günther TPapers in this archive, Kashuba NPapers in this archive, Ala-Hulkko TPapers in this archive, Chyleński MPapers in this archive, McKenna JPapers in this archive, Pospieszny ŁPapers in this archive, Constantinescu MPapers in this archive, Rotea MPapers in this archive, Palincaș NPapers in this archive, Wilk SPapers in this archive, Czerniak LPapers in this archive, Kruk JPapers in this archive, Łapo JPapers in this archive, Makarowicz PPapers in this archive, Potekhina IPapers in this archive, Soficaru APapers in this archive, Szmyt MPapers in this archive, Szostek KPapers in this archive, Götherström APapers in this archive, Storå JPapers in this archive, Netea MGPapers in this archive, Nikitin AGPapers in this archive, Persson PPapers in this archive, Malmström HPapers in this archive, Jakobsson MPapers in this archive
Abstract
The genomic landscape of Stone Age Europe was shaped by multiple migratory waves and population replacements, but different regions do not all show similar patterns. To refine our understanding of the population dynamics before and after the dawn of the Neolithic, we generated and analyzed genomic sequence data from human remains of 56 individuals from the Mesolithic, Neolithic, and Eneolithic across Central and Eastern Europe. We found that Mesolithic European populations formed a geographically widespread isolation-by-distance zone ranging from Central Europe to Siberia, which was already established 10,000 years ago. We found contrasting patterns of population continuity during the Neolithic transition: people around the lower Dnipro Valley region, Ukraine, showed continuity over 4000 years, from the Mesolithic to the end of the Neolithic, in contrast to almost all other parts of Europe where population turnover drove this cultural change, including vast areas of Central Europe and around the Danube River. Subject terms: Population genetics, Archaeology
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