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Early farmers from across Europe directly descended from Neolithic Aegeans

TLDR
This study demonstrates a direct genetic link between Mediterranean and Central European early farmers and those of Greece and Anatolia, extending the European Neolithic migratory chain all the way back to southwestern Asia.
Abstract
Farming and sedentism first appear in southwest Asia during the early Holocene and later spread to neighboring regions, including Europe, along multiple dispersal routes. Conspicuous uncertainties remain about the relative roles of migration, cultural diffusion and admixture with local foragers in the early Neolithisation of Europe. Here we present paleogenomic data for five Neolithic individuals from northwestern Turkey and northern Greece, spanning the time and region of the earliest spread of farming into Europe. We observe striking genetic similarity both among Aegean early farmers and with those from across Europe. Our study demonstrates a direct genetic link between Mediterranean and Central European early farmers and those of Greece and Anatolia, extending the European Neolithic migratory chain all the way back to southwestern Asia.

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Ancient human genomes suggest three ancestral populations for present-day Europeans

Iosif Lazaridis, +136 more
TL;DR: The authors showed that most present-day Europeans derive from at least three highly differentiated populations: west European hunter-gatherers, ancient north Eurasians related to Upper Palaeolithic Siberians, who contributed to both Europeans and Near Easterners; and early European farmers, who were mainly of Near Eastern origin but also harboured west European hunters-gatherer related ancestry.
Journal ArticleDOI

Harnessing ancient genomes to study the history of human adaptation

TL;DR: Recent 'evolution in action' analyses have started using genomic-scale ancient DNA data sets to identify and track the spatiotemporal trajectories of genetic variants associated with human adaptations to novel and changing environments, agricultural lifestyles, and introduced or co-evolving pathogens.
Posted ContentDOI

Estimating genetic kin relationships in prehistoric populations

TL;DR: A group of five closely related males from the same Corded Ware culture site in modern-day Germany is found, suggesting patrilocality, which highlights the possibility to uncover social structures of ancient populations by applying READ to genome-wide aDNA data.
Journal ArticleDOI

Pioneer farming in southeast Europe during the early sixth millennium BC: Climate-related adaptations in the exploitation of plants and animals

TL;DR: The analyses reveal that the changes in plant and animal exploitation which occurred with the northward dispersal of farmers, crops and livestock correlate with south-north climate gradients, and emphasize the importance of adaptations in the animal domain for the initial establishment of farming beyond the Mediterranean areas.
References
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Journal ArticleDOI

Genome-wide patterns of selection in 230 ancient Eurasians

TL;DR: A genome-wide scan for selection using ancient DNA is reported, capitalizing on the largest ancient DNA data set yet assembled: 230 West Eurasians who lived between 6500 and 300 bc, including 163 with newly reported data.
Journal ArticleDOI

Ancient human genomes suggest three ancestral populations for present-day Europeans

Iosif Lazaridis, +136 more
- 18 Sep 2014 - 
TL;DR: It is shown that most present-day Europeans derive from at least three highly differentiated populations: west European hunter-gatherers, who contributed ancestry to all Europeans but not to Near Easterners; ancient north Eurasians related to Upper Palaeolithic Siberians; and early European farmers, who were mainly of Near Eastern origin but also harboured west Europeanhunter-gatherer related ancestry.
Journal ArticleDOI

Inference of population structure using dense haplotype data

TL;DR: A novel inference framework that aims to efficiently capture information on population structure provided by patterns of haplotype similarity and an efficient model-based approach to identify discrete populations using this matrix, which offers advantages over PCA and over existing clustering algorithms in terms of speed, number of separable populations, and sensitivity to subtle population structure.
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