The transitions from foraging to farming and later to pastoralism in Stone Age Eurasia (c. 11-3 thousand years before present, BP) represent some of the most dramatic lifestyle changes in human evolution. We sequenced 317 genomes of primarily Mesolithic and Neolithic individuals from across Eurasia combined with radiocarbon dates, stable isotope data, and pollen records. Genome imputation and co-analysis with previously published shotgun sequencing data resulted in >1600 complete ancient genome sequences offering fine-grained resolution into the Stone Age populations. We observe that: 1) Hunter-gatherer groups were more genetically diverse than previously known, and deeply divergent between western and eastern Eurasia. 2) We identify hitherto genetically undescribed hunter-gatherers from the Middle Don region that contributed ancestry to the later Yamnaya steppe pastoralists; 3) The genetic impact of the Neolithic transition was highly distinct, east and west of a boundary zone extending from the Black Sea to the Baltic. Large-scale shifts in genetic ancestry occurred to the west of this "Great Divide", including an almost complete replacement of hunter-gatherers in Denmark, while no substantial ancestry shifts took place during the same period to the east. This difference is also reflected in genetic relatedness within the populations, decreasing substantially in the west but not in the east where it remained high until c. 4,000 BP; 4) The second major genetic transformation around 5,000 BP happened at a much faster pace with Steppe-related ancestry reaching most parts of Europe within 1,000-years. Local Neolithic farmers admixed with incoming pastoralists in eastern, western, and southern Europe whereas Scandinavia experienced another near-complete population replacement. Similar dramatic turnover-patterns are evident in western Siberia; 5) Extensive regional differences in the ancestry components involved in these early events remain visible to this day, even within countries. Neolithic farmer ancestry is highest in southern and eastern England while Steppe-related ancestry is highest in the Celtic populations of Scotland, Wales, and Cornwall (this research has been conducted using the UK Biobank resource); 6) Shifts in diet, lifestyle and environment introduced new selection pressures involving at least 21 genomic regions. Most such variants were not universally selected across populations but were only advantageous in particular ancestral backgrounds. Contrary to previous claims, we find that selection on the FADS regions, associated with fatty acid metabolism, began before the Neolithisation of Europe. Similarly, the lactase persistence allele started increasing in frequency before the expansion of Steppe-related groups into Europe and has continued to increase up to the present. Along the genetic cline separating Mesolithic hunter-gatherers from Neolithic farmers, we find significant correlations with trait associations related to skin disorders, diet and lifestyle and mental health status, suggesting marked phenotypic differences between these groups with very different lifestyles. This work provides new insights into major transformations in recent human evolution, elucidating the complex interplay between selection and admixture that shaped patterns of genetic variation in modern populations.
In 2004 excavations at the Barbar Temple dating to c. 2000 BC established that the function of the southeastern subterranean channel connected to the temple pool was to supply the pool with water and not to divert water away from the pool. North and west of the temple the oval terrace wall of its third phase was located. In the centre of the Northeast Temple the remains of a shaft‐stairway leading down to a well‐chamber was uncovered and shown to be furnished with two subterranean channels leading water into the chamber. South of the Northeast Temple a house with late pottery was excavated. Two stamp seals and two seal‐impressed tokens were found.
stiffness and pulse wave velocity / Aorta and carotid arteries 137 (0.94 to 1.01) p = 0.096; Obesity OR = 0.47 (0.29 to 1.77) p = 0.003 and Diabetes OR = 2.41 (1.15 -5.05) p = 0.020. Conclusions: According to the results obtained, genetic polymorphisms variables were not in the multivariate analysis equation to determine the increase of the PWV, which can be explained either by being included in the selected variables such as hypertension, or on the other hand, they may not have enough strength to remain in the equation. So, according to this study, PWV has much more to do with behaviors and traditional risk factors than the genetic heritage.P883 Endothelial dysfunction, pulse wave velocity and augmentation index are correlated in subjects with systemic arterial hypertension?
The influx of prestigious foreign objects into Southern Scandinavia throughout the Iron Age and Viking Age is well-documented. For example, Roman or Frankish luxury objects would find their way north via trade or through dynastic gift exchanges as part of a conspicuous elite culture. Access to crucial raw materials has in many ways been formative for both prehistoric and historic societies. The availability – or lack thereof – of specific resources could determine technological developments, and the need for nonlocal raw materials could shape evolving networks. For prehistoric and early historic times in Southern Scandinavia, the written sources and typological studies have limited value in determining the provenance of various raw materials. A typological deduction based on design can indicate the area of production for certain artefacts, but the raw materials used might originate from elsewhere. Based on scientific methods, this study sets out to map and analyse the geography of the available provenances of materials used in archaeological objects. From where did the raw materials found in Southern Scandinavia originate? Was there a connection between the flow of raw materials and the political situation?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.