Cargando…

Tanglegrams for rooted phylogenetic trees and networks

Motivation: In systematic biology, one is often faced with the task of comparing different phylogenetic trees, in particular in multi-gene analysis or cospeciation studies. One approach is to use a tanglegram in which two rooted phylogenetic trees are drawn opposite each other, using auxiliary lines...

Descripción completa

Detalles Bibliográficos
Autores principales: Scornavacca, Celine, Zickmann, Franziska, Huson, Daniel H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117342/
https://www.ncbi.nlm.nih.gov/pubmed/21685078
http://dx.doi.org/10.1093/bioinformatics/btr210
_version_ 1782206318879178752
author Scornavacca, Celine
Zickmann, Franziska
Huson, Daniel H.
author_facet Scornavacca, Celine
Zickmann, Franziska
Huson, Daniel H.
author_sort Scornavacca, Celine
collection PubMed
description Motivation: In systematic biology, one is often faced with the task of comparing different phylogenetic trees, in particular in multi-gene analysis or cospeciation studies. One approach is to use a tanglegram in which two rooted phylogenetic trees are drawn opposite each other, using auxiliary lines to connect matching taxa. There is an increasing interest in using rooted phylogenetic networks to represent evolutionary history, so as to explicitly represent reticulate events, such as horizontal gene transfer, hybridization or reassortment. Thus, the question arises how to define and compute a tanglegram for such networks. Results: In this article, we present the first formal definition of a tanglegram for rooted phylogenetic networks and present a heuristic approach for computing one, called the NN-tanglegram method. We compare the performance of our method with existing tree tanglegram algorithms and also show a typical application to real biological datasets. For maximum usability, the algorithm does not require that the trees or networks are bifurcating or bicombining, or that they are on identical taxon sets. Availability: The algorithm is implemented in our program Dendroscope 3, which is freely available from www.dendroscope.org. Contact: scornava@informatik.uni-tuebingen.de; huson@informatik.uni-tuebingen.de
format Online
Article
Text
id pubmed-3117342
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-31173422011-06-17 Tanglegrams for rooted phylogenetic trees and networks Scornavacca, Celine Zickmann, Franziska Huson, Daniel H. Bioinformatics Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria Motivation: In systematic biology, one is often faced with the task of comparing different phylogenetic trees, in particular in multi-gene analysis or cospeciation studies. One approach is to use a tanglegram in which two rooted phylogenetic trees are drawn opposite each other, using auxiliary lines to connect matching taxa. There is an increasing interest in using rooted phylogenetic networks to represent evolutionary history, so as to explicitly represent reticulate events, such as horizontal gene transfer, hybridization or reassortment. Thus, the question arises how to define and compute a tanglegram for such networks. Results: In this article, we present the first formal definition of a tanglegram for rooted phylogenetic networks and present a heuristic approach for computing one, called the NN-tanglegram method. We compare the performance of our method with existing tree tanglegram algorithms and also show a typical application to real biological datasets. For maximum usability, the algorithm does not require that the trees or networks are bifurcating or bicombining, or that they are on identical taxon sets. Availability: The algorithm is implemented in our program Dendroscope 3, which is freely available from www.dendroscope.org. Contact: scornava@informatik.uni-tuebingen.de; huson@informatik.uni-tuebingen.de Oxford University Press 2011-07-01 2011-06-14 /pmc/articles/PMC3117342/ /pubmed/21685078 http://dx.doi.org/10.1093/bioinformatics/btr210 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 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/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria
Scornavacca, Celine
Zickmann, Franziska
Huson, Daniel H.
Tanglegrams for rooted phylogenetic trees and networks
title Tanglegrams for rooted phylogenetic trees and networks
title_full Tanglegrams for rooted phylogenetic trees and networks
title_fullStr Tanglegrams for rooted phylogenetic trees and networks
title_full_unstemmed Tanglegrams for rooted phylogenetic trees and networks
title_short Tanglegrams for rooted phylogenetic trees and networks
title_sort tanglegrams for rooted phylogenetic trees and networks
topic Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117342/
https://www.ncbi.nlm.nih.gov/pubmed/21685078
http://dx.doi.org/10.1093/bioinformatics/btr210
work_keys_str_mv AT scornavaccaceline tanglegramsforrootedphylogenetictreesandnetworks
AT zickmannfranziska tanglegramsforrootedphylogenetictreesandnetworks
AT husondanielh tanglegramsforrootedphylogenetictreesandnetworks