Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Garrick, Ryan C., Caccone, Adalgisa, Sunnucks, Paul
Formato: Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
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
_version_ 1782181146330660864
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
work_keys_str_mv AT garrickryanc inferenceofpopulationhistorybycouplingexploratoryandmodeldrivenphylogeographicanalyses
AT cacconeadalgisa inferenceofpopulationhistorybycouplingexploratoryandmodeldrivenphylogeographicanalyses
AT sunnuckspaul inferenceofpopulationhistorybycouplingexploratoryandmodeldrivenphylogeographicanalyses