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Phylogenetic framework for coevolutionary studies: a compass for exploring jungles of tangled trees
Phylogenetics is used to detect past evolutionary events, from how species originated to how their ecological interactions with other species arose, which can mirror cophylogenetic patterns. Cophylogenetic reconstructions uncover past ecological relationships between taxa through inferred coevolutio...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5804275/ https://www.ncbi.nlm.nih.gov/pubmed/29491928 http://dx.doi.org/10.1093/cz/zow018 |
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author | Martínez-Aquino, Andrés |
author_facet | Martínez-Aquino, Andrés |
author_sort | Martínez-Aquino, Andrés |
collection | PubMed |
description | Phylogenetics is used to detect past evolutionary events, from how species originated to how their ecological interactions with other species arose, which can mirror cophylogenetic patterns. Cophylogenetic reconstructions uncover past ecological relationships between taxa through inferred coevolutionary events on trees, for example, codivergence, duplication, host-switching, and loss. These events can be detected by cophylogenetic analyses based on nodes and the length and branching pattern of the phylogenetic trees of symbiotic associations, for example, host–parasite. In the past 2 decades, algorithms have been developed for cophylogetenic analyses and implemented in different software, for example, statistical congruence index and event-based methods. Based on the combination of these approaches, it is possible to integrate temporal information into cophylogenetical inference, such as estimates of lineage divergence times between 2 taxa, for example, hosts and parasites. Additionally, the advances in phylogenetic biogeography applying methods based on parametric process models and combined Bayesian approaches, can be useful for interpreting coevolutionary histories in a scenario of biogeographical area connectivity through time. This article briefly reviews the basics of parasitology and provides an overview of software packages in cophylogenetic methods. Thus, the objective here is to present a phylogenetic framework for coevolutionary studies, with special emphasis on groups of parasitic organisms. Researchers wishing to undertake phylogeny-based coevolutionary studies can use this review as a “compass” when “walking” through jungles of tangled phylogenetic trees. |
format | Online Article Text |
id | pubmed-5804275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58042752018-02-28 Phylogenetic framework for coevolutionary studies: a compass for exploring jungles of tangled trees Martínez-Aquino, Andrés Curr Zool Articles Phylogenetics is used to detect past evolutionary events, from how species originated to how their ecological interactions with other species arose, which can mirror cophylogenetic patterns. Cophylogenetic reconstructions uncover past ecological relationships between taxa through inferred coevolutionary events on trees, for example, codivergence, duplication, host-switching, and loss. These events can be detected by cophylogenetic analyses based on nodes and the length and branching pattern of the phylogenetic trees of symbiotic associations, for example, host–parasite. In the past 2 decades, algorithms have been developed for cophylogetenic analyses and implemented in different software, for example, statistical congruence index and event-based methods. Based on the combination of these approaches, it is possible to integrate temporal information into cophylogenetical inference, such as estimates of lineage divergence times between 2 taxa, for example, hosts and parasites. Additionally, the advances in phylogenetic biogeography applying methods based on parametric process models and combined Bayesian approaches, can be useful for interpreting coevolutionary histories in a scenario of biogeographical area connectivity through time. This article briefly reviews the basics of parasitology and provides an overview of software packages in cophylogenetic methods. Thus, the objective here is to present a phylogenetic framework for coevolutionary studies, with special emphasis on groups of parasitic organisms. Researchers wishing to undertake phylogeny-based coevolutionary studies can use this review as a “compass” when “walking” through jungles of tangled phylogenetic trees. Oxford University Press 2016-08 2016-03-19 /pmc/articles/PMC5804275/ /pubmed/29491928 http://dx.doi.org/10.1093/cz/zow018 Text en © The Author (2016). Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), 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 | Articles Martínez-Aquino, Andrés Phylogenetic framework for coevolutionary studies: a compass for exploring jungles of tangled trees |
title | Phylogenetic framework for coevolutionary studies: a compass for exploring jungles of tangled trees |
title_full | Phylogenetic framework for coevolutionary studies: a compass for exploring jungles of tangled trees |
title_fullStr | Phylogenetic framework for coevolutionary studies: a compass for exploring jungles of tangled trees |
title_full_unstemmed | Phylogenetic framework for coevolutionary studies: a compass for exploring jungles of tangled trees |
title_short | Phylogenetic framework for coevolutionary studies: a compass for exploring jungles of tangled trees |
title_sort | phylogenetic framework for coevolutionary studies: a compass for exploring jungles of tangled trees |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5804275/ https://www.ncbi.nlm.nih.gov/pubmed/29491928 http://dx.doi.org/10.1093/cz/zow018 |
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