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Inference of Population History by Coupling Exploratory and Model-Driven Phylogeographic Analyses
Understanding the nature, timing and geographic context of historical events and population processes that shaped the spatial distribution of genetic diversity is critical for addressing questions relating to speciation, selection, and applied conservation management. Cladistic analysis of gene tree...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Molecular Diversity Preservation International (MDPI)
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2871112/ https://www.ncbi.nlm.nih.gov/pubmed/20480016 http://dx.doi.org/10.3390/ijms11041190 |
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author | Garrick, Ryan C. Caccone, Adalgisa Sunnucks, Paul |
author_facet | Garrick, Ryan C. Caccone, Adalgisa Sunnucks, Paul |
author_sort | Garrick, Ryan C. |
collection | PubMed |
description | Understanding the nature, timing and geographic context of historical events and population processes that shaped the spatial distribution of genetic diversity is critical for addressing questions relating to speciation, selection, and applied conservation management. Cladistic analysis of gene trees has been central to phylogeography, but when coupled with approaches that make use of different components of the information carried by DNA sequences and their frequencies, the strength and resolution of these inferences can be improved. However, assessing concordance of inferences drawn using different analytical methods or genetic datasets, and integrating their outcomes, can be challenging. Here we overview the strengths and limitations of different types of genetic data, analysis methods, and approaches to historical inference. We then turn our attention to the potentially synergistic interactions among widely-used and emerging phylogeographic analyses, and discuss some of the ways that spatial and temporal concordance among inferences can be assessed. We close this review with a brief summary and outlook on future research directions. |
format | Text |
id | pubmed-2871112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-28711122010-05-17 Inference of Population History by Coupling Exploratory and Model-Driven Phylogeographic Analyses Garrick, Ryan C. Caccone, Adalgisa Sunnucks, Paul Int J Mol Sci Review Understanding the nature, timing and geographic context of historical events and population processes that shaped the spatial distribution of genetic diversity is critical for addressing questions relating to speciation, selection, and applied conservation management. Cladistic analysis of gene trees has been central to phylogeography, but when coupled with approaches that make use of different components of the information carried by DNA sequences and their frequencies, the strength and resolution of these inferences can be improved. However, assessing concordance of inferences drawn using different analytical methods or genetic datasets, and integrating their outcomes, can be challenging. Here we overview the strengths and limitations of different types of genetic data, analysis methods, and approaches to historical inference. We then turn our attention to the potentially synergistic interactions among widely-used and emerging phylogeographic analyses, and discuss some of the ways that spatial and temporal concordance among inferences can be assessed. We close this review with a brief summary and outlook on future research directions. Molecular Diversity Preservation International (MDPI) 2010-03-24 /pmc/articles/PMC2871112/ /pubmed/20480016 http://dx.doi.org/10.3390/ijms11041190 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Review Garrick, Ryan C. Caccone, Adalgisa Sunnucks, Paul Inference of Population History by Coupling Exploratory and Model-Driven Phylogeographic Analyses |
title | Inference of Population History by Coupling Exploratory and Model-Driven Phylogeographic Analyses |
title_full | Inference of Population History by Coupling Exploratory and Model-Driven Phylogeographic Analyses |
title_fullStr | Inference of Population History by Coupling Exploratory and Model-Driven Phylogeographic Analyses |
title_full_unstemmed | Inference of Population History by Coupling Exploratory and Model-Driven Phylogeographic Analyses |
title_short | Inference of Population History by Coupling Exploratory and Model-Driven Phylogeographic Analyses |
title_sort | inference of population history by coupling exploratory and model-driven phylogeographic analyses |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2871112/ https://www.ncbi.nlm.nih.gov/pubmed/20480016 http://dx.doi.org/10.3390/ijms11041190 |
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