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Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters

Phylogenetic trees are widely used to display estimates of how groups of species are evolved. Each phylogenetic tree can be seen as a collection of clusters, subgroups of the species that evolved from a common ancestor. When phylogenetic trees are obtained for several datasets (e.g. for different ge...

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Detalles Bibliográficos
Autores principales: van Iersel, Leo, Kelk, Steven, Rupp, Regula, Huson, Daniel
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881387/
https://www.ncbi.nlm.nih.gov/pubmed/20529896
http://dx.doi.org/10.1093/bioinformatics/btq202
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author van Iersel, Leo
Kelk, Steven
Rupp, Regula
Huson, Daniel
author_facet van Iersel, Leo
Kelk, Steven
Rupp, Regula
Huson, Daniel
author_sort van Iersel, Leo
collection PubMed
description Phylogenetic trees are widely used to display estimates of how groups of species are evolved. Each phylogenetic tree can be seen as a collection of clusters, subgroups of the species that evolved from a common ancestor. When phylogenetic trees are obtained for several datasets (e.g. for different genes), then their clusters are often contradicting. Consequently, the set of all clusters of such a dataset cannot be combined into a single phylogenetic tree. Phylogenetic networks are a generalization of phylogenetic trees that can be used to display more complex evolutionary histories, including reticulate events, such as hybridizations, recombinations and horizontal gene transfers. Here, we present the new Cass algorithm that can combine any set of clusters into a phylogenetic network. We show that the networks constructed by Cass are usually simpler than networks constructed by other available methods. Moreover, we show that Cass is guaranteed to produce a network with at most two reticulations per biconnected component, whenever such a network exists. We have implemented Cass and integrated it into the freely available Dendroscope software. Contact: l.j.j.v.iersel@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-28813872010-06-08 Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters van Iersel, Leo Kelk, Steven Rupp, Regula Huson, Daniel Bioinformatics Ismb 2010 Conference Proceedings July 11 to July 13, 2010, Boston, Ma, Usa Phylogenetic trees are widely used to display estimates of how groups of species are evolved. Each phylogenetic tree can be seen as a collection of clusters, subgroups of the species that evolved from a common ancestor. When phylogenetic trees are obtained for several datasets (e.g. for different genes), then their clusters are often contradicting. Consequently, the set of all clusters of such a dataset cannot be combined into a single phylogenetic tree. Phylogenetic networks are a generalization of phylogenetic trees that can be used to display more complex evolutionary histories, including reticulate events, such as hybridizations, recombinations and horizontal gene transfers. Here, we present the new Cass algorithm that can combine any set of clusters into a phylogenetic network. We show that the networks constructed by Cass are usually simpler than networks constructed by other available methods. Moreover, we show that Cass is guaranteed to produce a network with at most two reticulations per biconnected component, whenever such a network exists. We have implemented Cass and integrated it into the freely available Dendroscope software. Contact: l.j.j.v.iersel@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2010-06-15 2010-06-01 /pmc/articles/PMC2881387/ /pubmed/20529896 http://dx.doi.org/10.1093/bioinformatics/btq202 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Ismb 2010 Conference Proceedings July 11 to July 13, 2010, Boston, Ma, Usa
van Iersel, Leo
Kelk, Steven
Rupp, Regula
Huson, Daniel
Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters
title Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters
title_full Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters
title_fullStr Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters
title_full_unstemmed Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters
title_short Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters
title_sort phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters
topic Ismb 2010 Conference Proceedings July 11 to July 13, 2010, Boston, Ma, Usa
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881387/
https://www.ncbi.nlm.nih.gov/pubmed/20529896
http://dx.doi.org/10.1093/bioinformatics/btq202
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