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Genetic Divergence Disclosing a Rapid Prehistorical Dispersion of Native Americans in Central and South America

An accurate estimate of the divergence time between Native Americans is important for understanding the initial entry and early dispersion of human beings in the New World. Current methods for estimating the genetic divergence time of populations could seriously depart from a linear relationship wit...

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Autores principales: He, Yungang, Wang, Wei R., Li, Ran, Wang, Sijia, Jin, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435283/
https://www.ncbi.nlm.nih.gov/pubmed/22970308
http://dx.doi.org/10.1371/journal.pone.0044788
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author He, Yungang
Wang, Wei R.
Li, Ran
Wang, Sijia
Jin, Li
author_facet He, Yungang
Wang, Wei R.
Li, Ran
Wang, Sijia
Jin, Li
author_sort He, Yungang
collection PubMed
description An accurate estimate of the divergence time between Native Americans is important for understanding the initial entry and early dispersion of human beings in the New World. Current methods for estimating the genetic divergence time of populations could seriously depart from a linear relationship with the true divergence for multiple populations of a different population size and significant population expansion. Here, to address this problem, we propose a novel measure to estimate the genetic divergence time of populations. Computer simulation revealed that the new measure maintained an excellent linear correlation with the population divergence time in complicated multi-population scenarios with population expansion. Utilizing the new measure and microsatellite data of 21 Native American populations, we investigated the genetic divergences of the Native American populations. The results indicated that genetic divergences between North American populations are greater than that between Central and South American populations. None of the divergences, however, were large enough to constitute convincing evidence supporting the two-wave or multi-wave migration model for the initial entry of human beings into America. The genetic affinity of the Native American populations was further explored using Neighbor-Net and the genetic divergences suggested that these populations could be categorized into four genetic groups living in four different ecologic zones. The divergence of the population groups suggests that the early dispersion of human beings in America was a multi-step procedure. Further, the divergences suggest the rapid dispersion of Native Americans in Central and South Americas after a long standstill period in North America.
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spelling pubmed-34352832012-09-11 Genetic Divergence Disclosing a Rapid Prehistorical Dispersion of Native Americans in Central and South America He, Yungang Wang, Wei R. Li, Ran Wang, Sijia Jin, Li PLoS One Research Article An accurate estimate of the divergence time between Native Americans is important for understanding the initial entry and early dispersion of human beings in the New World. Current methods for estimating the genetic divergence time of populations could seriously depart from a linear relationship with the true divergence for multiple populations of a different population size and significant population expansion. Here, to address this problem, we propose a novel measure to estimate the genetic divergence time of populations. Computer simulation revealed that the new measure maintained an excellent linear correlation with the population divergence time in complicated multi-population scenarios with population expansion. Utilizing the new measure and microsatellite data of 21 Native American populations, we investigated the genetic divergences of the Native American populations. The results indicated that genetic divergences between North American populations are greater than that between Central and South American populations. None of the divergences, however, were large enough to constitute convincing evidence supporting the two-wave or multi-wave migration model for the initial entry of human beings into America. The genetic affinity of the Native American populations was further explored using Neighbor-Net and the genetic divergences suggested that these populations could be categorized into four genetic groups living in four different ecologic zones. The divergence of the population groups suggests that the early dispersion of human beings in America was a multi-step procedure. Further, the divergences suggest the rapid dispersion of Native Americans in Central and South Americas after a long standstill period in North America. Public Library of Science 2012-09-06 /pmc/articles/PMC3435283/ /pubmed/22970308 http://dx.doi.org/10.1371/journal.pone.0044788 Text en © 2012 He et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
He, Yungang
Wang, Wei R.
Li, Ran
Wang, Sijia
Jin, Li
Genetic Divergence Disclosing a Rapid Prehistorical Dispersion of Native Americans in Central and South America
title Genetic Divergence Disclosing a Rapid Prehistorical Dispersion of Native Americans in Central and South America
title_full Genetic Divergence Disclosing a Rapid Prehistorical Dispersion of Native Americans in Central and South America
title_fullStr Genetic Divergence Disclosing a Rapid Prehistorical Dispersion of Native Americans in Central and South America
title_full_unstemmed Genetic Divergence Disclosing a Rapid Prehistorical Dispersion of Native Americans in Central and South America
title_short Genetic Divergence Disclosing a Rapid Prehistorical Dispersion of Native Americans in Central and South America
title_sort genetic divergence disclosing a rapid prehistorical dispersion of native americans in central and south america
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435283/
https://www.ncbi.nlm.nih.gov/pubmed/22970308
http://dx.doi.org/10.1371/journal.pone.0044788
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