The ancient Hungarians originated from the Ural region in today's central Russia and migrated across the Eastern European steppe, according to historical sources. The Hungarians conquered the Carpathian Basin 895-907 AD, and admixed with the indigenous communities. Here we present mitochondrial DNA results from three datasets: one from the Avar period (7(th)-9(th) centuries) of the Carpathian Basin (n = 31); one from the Hungarian conquest-period (n = 76); and a completion of the published 10(th)-12(th) century Hungarian-Slavic contact zone dataset by four samples. We compare these mitochondrial DNA hypervariable segment sequences and haplogroup results with published ancient and modern Eurasian data. Whereas the analyzed Avars represents a certain group of the Avar society that shows East and South European genetic characteristics, the Hungarian conquerors' maternal gene pool is a mixture of West Eurasian and Central and North Eurasian elements. Comprehensively analyzing the results, both the linguistically recorded Finno-Ugric roots and historically documented Turkic and Central Asian influxes had possible genetic imprints in the conquerors' genetic composition. Our data allows a complex series of historic and population genetic events before the formation of the medieval population of the Carpathian Basin, and the maternal genetic continuity between 10(th)-12(th) century and modern Hungarians.
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http://dx.doi.org/10.1038/srep33446 | DOI Listing |
We present a comprehensive genetic investigation of Late Neolithic (LN) and Early Copper Age (ECA) populations living in the Carpathian Basin, leveraging whole genome data from 125 previously unreported individuals. Using population genetics, kinship analyses and the study of networks of identity-by-descent haplotype segment sharing, we elucidate the social and genetic dynamics of these communities between 4800-3900 cal BCE. Despite changes in settlement patterns, burial practices, and material culture, we document a high degree of genetic continuity.
View Article and Find Full Text PDFSci Adv
December 2024
Institute of Archaeogenomics, HUN-REN Research Centre for the Humanities, Budapest, Hungary.
PLoS One
November 2024
Department of Biological Anthropology, University of Szeged, Szeged, Hungary.
Female burials equipped with weapons, a topic of interest among scholars and the general public, remain rare occurrences in archaeological records. The interpretation of such cases requires an interdisciplinary approach and a comprehensive evaluation of the available evidence, particularly regarding the sex and potential lifestyle of the deceased. Consequently, data on specific populations, regions, and time periods remain scarce.
View Article and Find Full Text PDFiScience
October 2024
Department of Archaeogenetics, Institute of Hungarian Research, 1062 Budapest, Hungary.
The Aba family played a pivotal role in Medieval Hungary, dominating vast territories and producing influential figures. We conducted an archaeogenetic study on remains from the necropolis in Abasár, the political center of the Aba clan, to identify family members and explore their genetic origins. Using Whole Genome Sequencing (WGS) data from 19 individuals and radiocarbon dating, we identified 6 Aba family members with close kinship ties.
View Article and Find Full Text PDFEnviron Microbiol Rep
October 2024
Faculty of Geology, University of Warsaw, Warsaw, Poland.
Extreme environments, such as highly saline ecosystems, are characterised by a limited presence of microbial communities capable of tolerating and thriving under these conditions. To better understand the limits of life and its chemical and microbiological drivers, highly saline and brine groundwaters of Na-Cl and Na-Ca-Cl types with notably diverse SO contents were sampled in water intakes and springs from sedimentary aquifers located in the Outer Carpathians and the Carpathian Foredeep basin and its basement in Poland. Chemical and microbiological methods were used to identify the composition of groundwaters, determine microbial diversity, and indicate processes controlling their distribution using multivariate statistical analyses.
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