Integration of ancient DNA with transdisciplinary dataset finds strong support for Inca resettlement in the south Peruvian coast

Bongers, Jacob, Nakatsuka, Nathan, O'Shea, Colleen, Harper, Thomas, Tantaleán, Henry, Stanish, Charles and Fehren-Schmitz, Lars (2020) Integration of ancient DNA with transdisciplinary dataset finds strong support for Inca resettlement in the south Peruvian coast. Proceedings of the National Academy of Sciences, 117 (31). pp. 18359-18368. ISSN 0027-8424

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Abstract

Ancient DNA (aDNA) analysis provides a powerful means of investigating human migration, social organization, and a plethora of other crucial questions about humanity’s past. Recently, specialists have suggested that the ideal research design involving aDNA would include multiple independent lines of evidence. In this paper, we adopt a transdisciplinary approach integrating aDNA with archaeological, biogeochemical, and historical data to investigate six individuals found in two cemeteries that date to the Late Horizon (1400 to 1532 CE) and Colonial (1532 to 1825 CE) periods in the Chincha Valley of southern Peru. Genomic analyses indicate that these individuals are genetically most similar to ancient and present-day populations from the north Peruvian coast located several hundred kilometers away. These genomic data are consistent with 16th century written records as well as ceramic, textile, and isotopic data. These results provide some of the strongest evidence yet of state-sponsored resettlement in the pre-Colonial Andes. This study highlights the power of transdisciplinary research designs when using aDNA data and sets a methodological standard for investigating ancient mobility in complex societies.

Item Type: Article
Uncontrolled Keywords: ancient dna,mobility,andes,transdisciplinary approach,inca
UEA Research Groups: Faculty of Arts and Humanities > Research Centres > Sainsbury Research Unit for the Arts of Africa, Oceania and the Americas
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Depositing User: LivePure Connector
Date Deposited: 21 Jul 2020 01:37
Last Modified: 20 Apr 2023 17:32
URI: https://ueaeprints.uea.ac.uk/id/eprint/76185
DOI: 10.1073/pnas.2005965117

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