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Tree-Based Unrooted Phylogenetic Networks

Phylogenetic networks are a generalization of phylogenetic trees that are used to represent non-tree-like evolutionary histories that arise in organisms such as plants and bacteria, or uncertainty in evolutionary histories. An unrooted phylogenetic network on a non-empty, finite set X of taxa, or ne...

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Detalles Bibliográficos
Autores principales: Francis, A., Huber, K. T., Moulton, V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790869/
https://www.ncbi.nlm.nih.gov/pubmed/29238909
http://dx.doi.org/10.1007/s11538-017-0381-3
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author Francis, A.
Huber, K. T.
Moulton, V.
author_facet Francis, A.
Huber, K. T.
Moulton, V.
author_sort Francis, A.
collection PubMed
description Phylogenetic networks are a generalization of phylogenetic trees that are used to represent non-tree-like evolutionary histories that arise in organisms such as plants and bacteria, or uncertainty in evolutionary histories. An unrooted phylogenetic network on a non-empty, finite set X of taxa, or network, is a connected, simple graph in which every vertex has degree 1 or 3 and whose leaf set is X. It is called a phylogenetic tree if the underlying graph is a tree. In this paper we consider properties of tree-based networks, that is, networks that can be constructed by adding edges into a phylogenetic tree. We show that although they have some properties in common with their rooted analogues which have recently drawn much attention in the literature, they have some striking differences in terms of both their structural and computational properties. We expect that our results could eventually have applications to, for example, detecting horizontal gene transfer or hybridization which are important factors in the evolution of many organisms.
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spelling pubmed-57908692018-02-05 Tree-Based Unrooted Phylogenetic Networks Francis, A. Huber, K. T. Moulton, V. Bull Math Biol Original Article Phylogenetic networks are a generalization of phylogenetic trees that are used to represent non-tree-like evolutionary histories that arise in organisms such as plants and bacteria, or uncertainty in evolutionary histories. An unrooted phylogenetic network on a non-empty, finite set X of taxa, or network, is a connected, simple graph in which every vertex has degree 1 or 3 and whose leaf set is X. It is called a phylogenetic tree if the underlying graph is a tree. In this paper we consider properties of tree-based networks, that is, networks that can be constructed by adding edges into a phylogenetic tree. We show that although they have some properties in common with their rooted analogues which have recently drawn much attention in the literature, they have some striking differences in terms of both their structural and computational properties. We expect that our results could eventually have applications to, for example, detecting horizontal gene transfer or hybridization which are important factors in the evolution of many organisms. Springer US 2017-12-13 2018 /pmc/articles/PMC5790869/ /pubmed/29238909 http://dx.doi.org/10.1007/s11538-017-0381-3 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Francis, A.
Huber, K. T.
Moulton, V.
Tree-Based Unrooted Phylogenetic Networks
title Tree-Based Unrooted Phylogenetic Networks
title_full Tree-Based Unrooted Phylogenetic Networks
title_fullStr Tree-Based Unrooted Phylogenetic Networks
title_full_unstemmed Tree-Based Unrooted Phylogenetic Networks
title_short Tree-Based Unrooted Phylogenetic Networks
title_sort tree-based unrooted phylogenetic networks
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790869/
https://www.ncbi.nlm.nih.gov/pubmed/29238909
http://dx.doi.org/10.1007/s11538-017-0381-3
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