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...
Autores principales: | , , |
---|---|
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 |