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Genetic legacy of state centralization in the Kuba Kingdom of the Democratic Republic of the Congo

Few phenomena have had as profound or long-lasting consequences in human history as the emergence of large-scale centralized states in the place of smaller scale and more local societies. This study examines a fundamental, and yet unexplored, consequence of state formation: its genetic legacy. We st...

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Autores principales: van Dorp, Lucy, Lowes, Sara, Weigel, Jonathan L., Ansari-Pour, Naser, López, Saioa, Mendoza-Revilla, Javier, Robinson, James A., Henrich, Joseph, Thomas, Mark G., Nunn, Nathan, Hellenthal, Garrett
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329964/
https://www.ncbi.nlm.nih.gov/pubmed/30584109
http://dx.doi.org/10.1073/pnas.1811211115
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author van Dorp, Lucy
Lowes, Sara
Weigel, Jonathan L.
Ansari-Pour, Naser
López, Saioa
Mendoza-Revilla, Javier
Robinson, James A.
Henrich, Joseph
Thomas, Mark G.
Nunn, Nathan
Hellenthal, Garrett
author_facet van Dorp, Lucy
Lowes, Sara
Weigel, Jonathan L.
Ansari-Pour, Naser
López, Saioa
Mendoza-Revilla, Javier
Robinson, James A.
Henrich, Joseph
Thomas, Mark G.
Nunn, Nathan
Hellenthal, Garrett
author_sort van Dorp, Lucy
collection PubMed
description Few phenomena have had as profound or long-lasting consequences in human history as the emergence of large-scale centralized states in the place of smaller scale and more local societies. This study examines a fundamental, and yet unexplored, consequence of state formation: its genetic legacy. We studied the genetic impact of state centralization during the formation of the eminent precolonial Kuba Kingdom of the Democratic Republic of the Congo (DRC) in the 17th century. We analyzed genome-wide data from over 690 individuals sampled from 27 different ethnic groups from the Kasai Central Province of the DRC. By comparing genetic patterns in the present-day Kuba, whose ancestors were part of the Kuba Kingdom, with those in neighboring non-Kuba groups, we show that the Kuba today are more genetically diverse and more similar to other groups in the region than expected, consistent with the historical unification of distinct subgroups during state centralization. We also found evidence of genetic mixing dating to the time of the Kingdom at its most prominent. Using this unique dataset, we characterize the genetic history of the Kasai Central Province and describe the historic late wave of migrations into the region that contributed to a Bantu-like ancestry component found across large parts of Africa today. Taken together, we show the power of genetics to evidence events of sociopolitical importance and highlight how DNA can be used to better understand the behaviors of both people and institutions in the past.
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spelling pubmed-63299642019-01-14 Genetic legacy of state centralization in the Kuba Kingdom of the Democratic Republic of the Congo van Dorp, Lucy Lowes, Sara Weigel, Jonathan L. Ansari-Pour, Naser López, Saioa Mendoza-Revilla, Javier Robinson, James A. Henrich, Joseph Thomas, Mark G. Nunn, Nathan Hellenthal, Garrett Proc Natl Acad Sci U S A Biological Sciences Few phenomena have had as profound or long-lasting consequences in human history as the emergence of large-scale centralized states in the place of smaller scale and more local societies. This study examines a fundamental, and yet unexplored, consequence of state formation: its genetic legacy. We studied the genetic impact of state centralization during the formation of the eminent precolonial Kuba Kingdom of the Democratic Republic of the Congo (DRC) in the 17th century. We analyzed genome-wide data from over 690 individuals sampled from 27 different ethnic groups from the Kasai Central Province of the DRC. By comparing genetic patterns in the present-day Kuba, whose ancestors were part of the Kuba Kingdom, with those in neighboring non-Kuba groups, we show that the Kuba today are more genetically diverse and more similar to other groups in the region than expected, consistent with the historical unification of distinct subgroups during state centralization. We also found evidence of genetic mixing dating to the time of the Kingdom at its most prominent. Using this unique dataset, we characterize the genetic history of the Kasai Central Province and describe the historic late wave of migrations into the region that contributed to a Bantu-like ancestry component found across large parts of Africa today. Taken together, we show the power of genetics to evidence events of sociopolitical importance and highlight how DNA can be used to better understand the behaviors of both people and institutions in the past. National Academy of Sciences 2019-01-08 2018-12-24 /pmc/articles/PMC6329964/ /pubmed/30584109 http://dx.doi.org/10.1073/pnas.1811211115 Text en Copyright © 2019 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by/4.0/ This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Biological Sciences
van Dorp, Lucy
Lowes, Sara
Weigel, Jonathan L.
Ansari-Pour, Naser
López, Saioa
Mendoza-Revilla, Javier
Robinson, James A.
Henrich, Joseph
Thomas, Mark G.
Nunn, Nathan
Hellenthal, Garrett
Genetic legacy of state centralization in the Kuba Kingdom of the Democratic Republic of the Congo
title Genetic legacy of state centralization in the Kuba Kingdom of the Democratic Republic of the Congo
title_full Genetic legacy of state centralization in the Kuba Kingdom of the Democratic Republic of the Congo
title_fullStr Genetic legacy of state centralization in the Kuba Kingdom of the Democratic Republic of the Congo
title_full_unstemmed Genetic legacy of state centralization in the Kuba Kingdom of the Democratic Republic of the Congo
title_short Genetic legacy of state centralization in the Kuba Kingdom of the Democratic Republic of the Congo
title_sort genetic legacy of state centralization in the kuba kingdom of the democratic republic of the congo
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329964/
https://www.ncbi.nlm.nih.gov/pubmed/30584109
http://dx.doi.org/10.1073/pnas.1811211115
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