Accession PRJCA009290
Title Ancient mitogenomes reveal the origins and genetic structure of the Neolithic Shimao population in northern China
Relevance Evolution
Data types Assembly
Organisms Homo sapiens
Description Shimao City is considered an important political and religious center during the Late Neolithic Longshan period of the Middle Yellow River basin. The genetic history and population dynamics among the Shimao and other ancient populations, especially the Taosi-related populations, remain unknown. Here, we sequenced 172 complete mitochondrial genomes, ranging from the Yangshao to Longshan period, from individuals related to the Shimao culture in northern Shaanxi Province and Taosi culture in southern Shanxi Province, Middle Yellow River basin. Our results show that the populations inhabiting Shimao City had close genetic connections with an earlier population in the Middle Neolithic Yangshao period of northern Shaanxi Province, revealing a mostly local origin for the Shimao Society. In addition, among the populations in other regions of the Yellow River basin, the Shimao-related populations had the closest maternal affinity with the contemporaneous Taosi populations from the Longshan period. The Shimao-related populations also shared more affinity with present-day northern Han populations than with the minorities and southern Han in China. Our study provides a new perspective on the genetic origins and structure of the Shimao people and the population dynamics in the Middle Yellow River basin during the Neolithic period.
Sample scope Multiisolate
Release date 2022-05-28
Grants
Agency program Grant ID Grant title
Chinese Academy of Sciences (CAS),Ministry of Finance of the People Republic of China YSBR-019
Chinese Academy of Sciences (CAS) XDB26000000
National Natural Science Foundation of China (NSFC) 41925009
National Natural Science Foundation of China (NSFC) T2192950
Submitter Qiaomei    Fu  (fuqiaomei@ivpp.ac.cn)
Organization Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences
Submission date 2022-04-24

Project Data

Resource name Description
BioSample (172)  show -