Ancient mitochondrial diversity reveals population homogeneity in Neolithic Greece and identifies population dynamics along the Danubian expansion axis
Silva NMPapers in this archive, Kreutzer SPapers in this archive, Souleles APapers in this archive, Triantaphyllou SPapers in this archive, Kotsakis KPapers in this archive, Urem-Kotsou DPapers in this archive, Halstead PPapers in this archive, Efstratiou NPapers in this archive, Kotsos SPapers in this archive, Karamitrou-Mentessidi GPapers in this archive, Adaktylou FPapers in this archive, Chondroyianni-Metoki APapers in this archive, Pappa MPapers in this archive, Ziota CPapers in this archive, Sampson APapers in this archive, Papathanasiou APapers in this archive, Vitelli KPapers in this archive, Cullen TPapers in this archive, Kyparissi-Apostolika NPapers in this archive, Lanz AZPapers in this archive, Peters JPapers in this archive, Rio JPapers in this archive, WegmanPapers in this archive
Abstract
The aim of the study is to investigate mitochondrial diversity in Neolithic Greece and its relation to hunter-gatherers and farmers who populated the Danubian Neolithic expansion axis. We sequenced 42 mitochondrial palaeogenomes from Greece and analysed them together with European set of 328 mtDNA sequences dating from the Early to the Final Neolithic and 319 modern sequences. To test for population continuity through time in Greece, we use an original structured population continuity test that simulates DNA from different periods by explicitly considering the spatial and temporal dynamics of populations. We explore specific scenarios of the mode and tempo of the European Neolithic expansion along the Danubian axis applying spatially explicit simulations coupled with Approximate Bayesian Computation. We observe a striking genetic homogeneity for the maternal line throughout the Neolithic in Greece whereas population continuity is rejected between the Neolithic and present-day Greeks. Along the Danubian expansion axis, our best-fitting scenario supports a substantial decrease in mobility and an increasing local hunter-gatherer contribution to the gene-pool of farmers following the initial rapid Neolithic expansion. Οur original simulation approach models key demographic parameters rather than inferring them from fragmentary data leading to a better understanding of this important process in European prehistory. Subject terms: Computational biology and bioinformatics, Evolution, Genetics
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