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Binets: Fundamental Building Blocks for Phylogenetic Networks
Phylogenetic networks are a generalization of evolutionary trees that are used by biologists to represent the evolution of organisms which have undergone reticulate evolution. Essentially, a phylogenetic network is a directed acyclic graph having a unique root in which the leaves are labelled by a g...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5488434/ https://www.ncbi.nlm.nih.gov/pubmed/28386669 http://dx.doi.org/10.1007/s11538-017-0275-4 |
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author | van Iersel, Leo Moulton, Vincent de Swart, Eveline Wu, Taoyang |
author_facet | van Iersel, Leo Moulton, Vincent de Swart, Eveline Wu, Taoyang |
author_sort | van Iersel, Leo |
collection | PubMed |
description | Phylogenetic networks are a generalization of evolutionary trees that are used by biologists to represent the evolution of organisms which have undergone reticulate evolution. Essentially, a phylogenetic network is a directed acyclic graph having a unique root in which the leaves are labelled by a given set of species. Recently, some approaches have been developed to construct phylogenetic networks from collections of networks on 2- and 3-leaved networks, which are known as binets and trinets, respectively. Here we study in more depth properties of collections of binets, one of the simplest possible types of networks into which a phylogenetic network can be decomposed. More specifically, we show that if a collection of level-1 binets is compatible with some binary network, then it is also compatible with a binary level-1 network. Our proofs are based on useful structural results concerning lowest stable ancestors in networks. In addition, we show that, although the binets do not determine the topology of the network, they do determine the number of reticulations in the network, which is one of its most important parameters. We also consider algorithmic questions concerning binets. We show that deciding whether an arbitrary set of binets is compatible with some network is at least as hard as the well-known graph isomorphism problem. However, if we restrict to level-1 binets, it is possible to decide in polynomial time whether there exists a binary network that displays all the binets. We also show that to find a network that displays a maximum number of the binets is NP-hard, but that there exists a simple polynomial-time 1/3-approximation algorithm for this problem. It is hoped that these results will eventually assist in the development of new methods for constructing phylogenetic networks from collections of smaller networks. |
format | Online Article Text |
id | pubmed-5488434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-54884342017-07-03 Binets: Fundamental Building Blocks for Phylogenetic Networks van Iersel, Leo Moulton, Vincent de Swart, Eveline Wu, Taoyang Bull Math Biol Original Article Phylogenetic networks are a generalization of evolutionary trees that are used by biologists to represent the evolution of organisms which have undergone reticulate evolution. Essentially, a phylogenetic network is a directed acyclic graph having a unique root in which the leaves are labelled by a given set of species. Recently, some approaches have been developed to construct phylogenetic networks from collections of networks on 2- and 3-leaved networks, which are known as binets and trinets, respectively. Here we study in more depth properties of collections of binets, one of the simplest possible types of networks into which a phylogenetic network can be decomposed. More specifically, we show that if a collection of level-1 binets is compatible with some binary network, then it is also compatible with a binary level-1 network. Our proofs are based on useful structural results concerning lowest stable ancestors in networks. In addition, we show that, although the binets do not determine the topology of the network, they do determine the number of reticulations in the network, which is one of its most important parameters. We also consider algorithmic questions concerning binets. We show that deciding whether an arbitrary set of binets is compatible with some network is at least as hard as the well-known graph isomorphism problem. However, if we restrict to level-1 binets, it is possible to decide in polynomial time whether there exists a binary network that displays all the binets. We also show that to find a network that displays a maximum number of the binets is NP-hard, but that there exists a simple polynomial-time 1/3-approximation algorithm for this problem. It is hoped that these results will eventually assist in the development of new methods for constructing phylogenetic networks from collections of smaller networks. Springer US 2017-04-06 2017 /pmc/articles/PMC5488434/ /pubmed/28386669 http://dx.doi.org/10.1007/s11538-017-0275-4 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 van Iersel, Leo Moulton, Vincent de Swart, Eveline Wu, Taoyang Binets: Fundamental Building Blocks for Phylogenetic Networks |
title | Binets: Fundamental Building Blocks for Phylogenetic Networks |
title_full | Binets: Fundamental Building Blocks for Phylogenetic Networks |
title_fullStr | Binets: Fundamental Building Blocks for Phylogenetic Networks |
title_full_unstemmed | Binets: Fundamental Building Blocks for Phylogenetic Networks |
title_short | Binets: Fundamental Building Blocks for Phylogenetic Networks |
title_sort | binets: fundamental building blocks for phylogenetic networks |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5488434/ https://www.ncbi.nlm.nih.gov/pubmed/28386669 http://dx.doi.org/10.1007/s11538-017-0275-4 |
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