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Identification of a new hominin bone from Denisova Cave, Siberia using collagen fingerprinting and mitochondrial DNA analysis
Abstract
DNA sequencing has revolutionised our understanding of archaic humans during the Middle and Upper Palaeolithic. Unfortunately, while many Palaeolithic sites contain large numbers of bones, the majority of these lack the diagnostic features necessary for traditional morphological identification. As a result the recovery of Pleistocene-age human remains is extremely rare. To circumvent this problem we have applied a method of collagen fingerprinting to more than 2000 fragmented bones from the site of Denisova Cave, Russia, in order to facilitate the discovery of human remains. As a result of our analysis a single hominin bone (Denisova 11) was identified, supported through in-depth peptide sequencing analysis and found to carry mitochondrial DNA of the Neandertal type. Subsequent radiocarbon dating revealed the bone to be >50,000 years old. Here we demonstrate the huge potential collagen fingerprinting has for identifying hominin remains in highly fragmentary archaeological assemblages, improving the resources available for wider studies into human evolution.
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ZooMS has been applied to rapidly and cost-effectively detect hominin remains among fragmentary faunal assemblages.
“ZooMS has been applied to rapidly and cost-effectively detect hominin remains among fragmentary faunal assemblages”
From Ancient protein analysis in archaeology (2021) · cites this paper as [139]
The Results (ZooMS screening for hominin remains; page unavailable) report identifying one hominin bone among 2,315 screened bones. The Conclusions describe ZooMS as rapid and suitable for identifying fragmented remains, but our copy does not establish that it is cost-effective. (LLM, conf=0.87)
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Metadata
- Authors
- Brown, S., Higham, T., Slon, V., Pääbo, S., Meyer, M., Douka, K., Brock, F., Comeskey, D., Procopio, N., Shunkov, M., Derevianko, A., & Buckley, M.
- Venue
- Scientific Reports
- Published
- 2016-03-29
- Volume
- 6
- Issue
- 1
- ISSN
- 2045-2322
- PMC
- PMC4810434
- Cited by
- 162
- References
- 13
- Language
- en
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