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Mitogenome analysis reveals predominantly ancient Yellow River origin of population inhabiting Datong agro-pastoral ecotone along Great Wall.
- Source :
-
Molecular Genetics & Genomics . Nov2023, Vol. 298 Issue 6, p1321-1330. 10p. - Publication Year :
- 2023
-
Abstract
- The Datong Basin was an important arena for population movement and admixture between the Yellow River Valley and Eastern Steppe. In historical materials, the region was often the setting for a tug-of-war between Han farmers and non-Han nomads. The genetic makeup and population history of this Datong population has, however, remained uncertain. In this study, we analysed 289 mitogenomes from Datong individuals. Our primary findings were: (1) population summary statistics analysis revealed a high level of genetic diversity and strong signals of population expansion in the Datong population; (2) inter-population comparisons (PCA and Fst heatmap) exhibited a close clustering between the Datong population and Northern Han, especially northern frontier groups, such as the Inner Mongolia Han, Heilongjiang Han, Liaoning Han and Tianjin Han; (3) phylogeographic analysis of complete mitogenomes revealed the presence of different components in the maternal gene pools of Datong population—the northern East Asian component was dominant (66.44%), whereas the southern East Asians were the second largest component with 31.49%. We also observed a much reduced west Eurasian (2.07%) component; (4) direct comparisons with ancient groups showed closer relationship between Datong and Yellow River farmers than Eastern Steppe nomads. Despite, therefore, centuries of Eastern Steppe nomadic control over the Datong area, Yellow River farmers had a much more significant impact on the Datong population. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ECOTONES
*EAST Asians
*GENETIC variation
*POPULATION statistics
*STEPPES
Subjects
Details
- Language :
- English
- ISSN :
- 16174615
- Volume :
- 298
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Molecular Genetics & Genomics
- Publication Type :
- Academic Journal
- Accession number :
- 173726339
- Full Text :
- https://doi.org/10.1007/s00438-023-02056-8