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Investigating Population History Using Temporal Genetic Differentiation
The rapid advance of sequencing technology, coupled with improvements in molecular methods for obtaining genetic data from ancient sources, holds the promise of producing a wealth of genomic data from time-separated individuals. However, the population-genetic properties of time-structured samples h...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4137715/ https://www.ncbi.nlm.nih.gov/pubmed/24939468 http://dx.doi.org/10.1093/molbev/msu192 |
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author | Skoglund, Pontus Sjödin, Per Skoglund, Tobias Lascoux, Martin Jakobsson, Mattias |
author_facet | Skoglund, Pontus Sjödin, Per Skoglund, Tobias Lascoux, Martin Jakobsson, Mattias |
author_sort | Skoglund, Pontus |
collection | PubMed |
description | The rapid advance of sequencing technology, coupled with improvements in molecular methods for obtaining genetic data from ancient sources, holds the promise of producing a wealth of genomic data from time-separated individuals. However, the population-genetic properties of time-structured samples have not been extensively explored. Here, we consider the implications of temporal sampling for analyses of genetic differentiation and use a temporal coalescent framework to show that complex historical events such as size reductions, population replacements, and transient genetic barriers between populations leave a footprint of genetic differentiation that can be traced through history using temporal samples. Our results emphasize explicit consideration of the temporal structure when making inferences and indicate that genomic data from ancient individuals will greatly increase our ability to reconstruct population history. |
format | Online Article Text |
id | pubmed-4137715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-41377152014-08-21 Investigating Population History Using Temporal Genetic Differentiation Skoglund, Pontus Sjödin, Per Skoglund, Tobias Lascoux, Martin Jakobsson, Mattias Mol Biol Evol Research Article The rapid advance of sequencing technology, coupled with improvements in molecular methods for obtaining genetic data from ancient sources, holds the promise of producing a wealth of genomic data from time-separated individuals. However, the population-genetic properties of time-structured samples have not been extensively explored. Here, we consider the implications of temporal sampling for analyses of genetic differentiation and use a temporal coalescent framework to show that complex historical events such as size reductions, population replacements, and transient genetic barriers between populations leave a footprint of genetic differentiation that can be traced through history using temporal samples. Our results emphasize explicit consideration of the temporal structure when making inferences and indicate that genomic data from ancient individuals will greatly increase our ability to reconstruct population history. Oxford University Press 2014-09 2014-06-17 /pmc/articles/PMC4137715/ /pubmed/24939468 http://dx.doi.org/10.1093/molbev/msu192 Text en © The Author 2014. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research Article Skoglund, Pontus Sjödin, Per Skoglund, Tobias Lascoux, Martin Jakobsson, Mattias Investigating Population History Using Temporal Genetic Differentiation |
title | Investigating Population History Using Temporal Genetic Differentiation |
title_full | Investigating Population History Using Temporal Genetic Differentiation |
title_fullStr | Investigating Population History Using Temporal Genetic Differentiation |
title_full_unstemmed | Investigating Population History Using Temporal Genetic Differentiation |
title_short | Investigating Population History Using Temporal Genetic Differentiation |
title_sort | investigating population history using temporal genetic differentiation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4137715/ https://www.ncbi.nlm.nih.gov/pubmed/24939468 http://dx.doi.org/10.1093/molbev/msu192 |
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