bioRxivGeneticsPreprint
Ancient human genomes from Ladakh reveal Tibetan, South Asian, and Central Asian admixture over the last three millennia
Niraj RaiiD, Bhavna AhlawatiD, Aparna DwivediiD, Snigdha Konar, Shristee Gupta, Esha BandyopadhyayiD, Jose A. Urban AragoniD, David WitonskyiD, Richa Rajpal, Prekshi GargiD, Rashmi, Sachin KumariD, Chetan Vuppulury, Pankaj Singh Baghel, Shailesh Agrawal, Sonam Spalzin, Tashi Ldawa Thsangspa, Maanasa RaghavaniD
Abstract
The trans-Himalayan region of Ladakh occupies a strategic position at the crossroads of South Asia, the Tibetan Plateau, and Central Asia, with archaeological evidence pointing to long-term cultural exchanges across these regions. However, the human genetic history of Ladakh remains largely unexplored. We generated paleogenomic data from seven individuals recovered from two sites in Western Ladakh - the Old Lady Spider Cave and Hanu - of which six are dated to 531-585 CE and one to the 19th century CE. The older individuals share substantial genetic ancestry with Tibetan groups but also harbor major contributions from two additional sources: one corresponding to the currently-oldest observation of the Ancestral North Indian genetic component that characterizes several present-day populations in North India and Pakistan, and another related to ancient Central Asian groups, with admixture events occurring between [~]2,100-2,500 years ago. In contrast, the later individual falls within a previously described ancient northern Himalayan genetic cline based on [~]1,100-1,300-year-old individuals from Himachal Pradesh, with ancestries related to ancient Tibetan and Steppe-related sources. Stable isotope analysis suggests that these individuals were local to Ladakh in late life and practiced an agro-pastoralist subsistence. Our study establishes that Ladakhs central role in Eurasian economic and socio-cultural networks was shaped by dynamic and sustained gene flow linking high-altitude Himalayan groups with both lowland South Asia and Inner Asia.
- organism: human
- assay: DNA methylation
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
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