English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Enclaves of genetic diversity resisted Inca impacts on population history

Barbieri, C., Sandoval, J. R., Valqui, J., Shimelman, A., Ziemendorff, S., Schröder, R., et al. (2017). Enclaves of genetic diversity resisted Inca impacts on population history. Scientific Reports, 7: 17411. doi:10.1038/s41598-017-17728-w.

Item is

Files

show Files
hide Files
:
Barbieri_Enclaves_SciRep_2017.pdf (Publisher version), 4MB
Name:
Barbieri_Enclaves_SciRep_2017.pdf
Description:
-
OA-Status:
Gold
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
2017
Copyright Info:
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Cre- ative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not per- mitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ . © The Author(s) 2017

Locators

show

Creators

show
hide
 Creators:
Barbieri, Chiara1, Author
Sandoval, José R., Author
Valqui, Jairo, Author
Shimelman, Aviva1, Author
Ziemendorff, Stefan, Author
Schröder, Roland2, Author           
Geppert, Maria, Author
Roewer, Lutz, Author
Gray, Russell1, Author
Stoneking, Mark2, Author           
Fujita, Ricardo, Author
Heggarty, Paul1, Author           
Affiliations:
1Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society, Kahlaische Str. 10, 07745 Jena, DE, ou_2074311              
2Human Population History, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, Deutscher Platz 6, 04103 Leipzig, DE, ou_2074313              

Content

show
hide
Free keywords: Anthropology; Population genetics
 Abstract: The Inca Empire is claimed to have driven massive population movements in western South America, and to have spread Quechua, the most widely-spoken language family of the indigenous Americas. A test-case is the Chachapoyas region of northern Peru, reported as a focal point of Inca population displacements. Chachapoyas also spans the environmental, cultural and demographic divides between Amazonia and the Andes, and stands along the lowest-altitude corridor from the rainforest to the Pacific coast. Following a sampling strategy informed by linguistic data, we collected 119 samples, analysed for full mtDNA genomes and Y-chromosome STRs. We report a high indigenous component, which stands apart from the network of intense genetic exchange in the core central zone of Andean civilization, and is also distinct from neighbouring populations. This unique genetic profile challenges the routine assumption of large-scale population relocations by the Incas. Furthermore, speakers of Chachapoyas Quechua are found to share no particular genetic similarity or gene-flow with Quechua speakers elsewhere, suggesting that here the language spread primarily by cultural diffusion, not migration. Our results demonstrate how population genetics, when fully guided by the archaeological, historical and linguistic records, can inform multiple disciplines within anthropology.

Details

show
hide
Language(s): eng - English
 Dates: 2017-10-052017-11-292017-12-12
 Publication Status: Published online
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41598-017-17728-w
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Scientific Reports
  Abbreviation : Sci. Rep.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London, UK : Nature Publishing Group
Pages: - Volume / Issue: 7 Sequence Number: 17411 Start / End Page: - Identifier: ISSN: 2045-2322
CoNE: https://pure.mpg.de/cone/journals/resource/2045-2322