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Global demographic history of human populations inferred from whole mitochondrial genomes
The Neolithic transition has led to marked increases in census population sizes across the world, as recorded by a rich archaeological record. However, previous attempts to detect such changes using genetic markers, especially mitochondrial DNA (mtDNA), have mostly been unsuccessful. We use complete...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124094/ https://www.ncbi.nlm.nih.gov/pubmed/30225046 http://dx.doi.org/10.1098/rsos.180543 |
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author | Miller, Eleanor F. Manica, Andrea Amos, William |
author_facet | Miller, Eleanor F. Manica, Andrea Amos, William |
author_sort | Miller, Eleanor F. |
collection | PubMed |
description | The Neolithic transition has led to marked increases in census population sizes across the world, as recorded by a rich archaeological record. However, previous attempts to detect such changes using genetic markers, especially mitochondrial DNA (mtDNA), have mostly been unsuccessful. We use complete mtDNA genomes from over 1700 individuals, from the 1000 Genomes Project Phase 3, to explore changes in populations sizes in five populations for each of four major geographical regions, using a sophisticated coalescent-based Bayesian method (extended Bayesian skyline plots) and mutation rates calibrated with ancient DNA. Despite the power and sophistication of our analysis, we fail to find size changes that correspond to the Neolithic transitions of the study populations. However, we do detect a number of size changes, which tend to be replicated in most populations within each region. These changes are mostly much older than the Neolithic transition and could reflect either population expansion or changes in population structure. Given the amount of migration and population mixing that occurred after these ancient signals were generated, we caution that modern populations will often carry ghost signals of demographic events that occurred far away from their current location. |
format | Online Article Text |
id | pubmed-6124094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-61240942018-09-17 Global demographic history of human populations inferred from whole mitochondrial genomes Miller, Eleanor F. Manica, Andrea Amos, William R Soc Open Sci Genetics and Genomics The Neolithic transition has led to marked increases in census population sizes across the world, as recorded by a rich archaeological record. However, previous attempts to detect such changes using genetic markers, especially mitochondrial DNA (mtDNA), have mostly been unsuccessful. We use complete mtDNA genomes from over 1700 individuals, from the 1000 Genomes Project Phase 3, to explore changes in populations sizes in five populations for each of four major geographical regions, using a sophisticated coalescent-based Bayesian method (extended Bayesian skyline plots) and mutation rates calibrated with ancient DNA. Despite the power and sophistication of our analysis, we fail to find size changes that correspond to the Neolithic transitions of the study populations. However, we do detect a number of size changes, which tend to be replicated in most populations within each region. These changes are mostly much older than the Neolithic transition and could reflect either population expansion or changes in population structure. Given the amount of migration and population mixing that occurred after these ancient signals were generated, we caution that modern populations will often carry ghost signals of demographic events that occurred far away from their current location. The Royal Society 2018-08-22 /pmc/articles/PMC6124094/ /pubmed/30225046 http://dx.doi.org/10.1098/rsos.180543 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Genetics and Genomics Miller, Eleanor F. Manica, Andrea Amos, William Global demographic history of human populations inferred from whole mitochondrial genomes |
title | Global demographic history of human populations inferred from whole mitochondrial genomes |
title_full | Global demographic history of human populations inferred from whole mitochondrial genomes |
title_fullStr | Global demographic history of human populations inferred from whole mitochondrial genomes |
title_full_unstemmed | Global demographic history of human populations inferred from whole mitochondrial genomes |
title_short | Global demographic history of human populations inferred from whole mitochondrial genomes |
title_sort | global demographic history of human populations inferred from whole mitochondrial genomes |
topic | Genetics and Genomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124094/ https://www.ncbi.nlm.nih.gov/pubmed/30225046 http://dx.doi.org/10.1098/rsos.180543 |
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