Skip Navigation

Systematic Biology 2007 56(1):57-67; doi:10.1080/10635150601167013
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (6)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Holland, B.
Right arrow Articles by Moulton, V.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Holland, B.
Right arrow Articles by Moulton, V.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2007 Society of Systematic Biologists

Imputing Supertrees and Supernetworks from Quartets

B. Holland1, Glenn Conner2, Katharina Huber3 and V. Moulton3

1 Allan Wilson Centre for Molecular Ecology and Evolution, Massey University Palmerston North, New Zealand E-mail: B.R.Holland{at}massey.ac.nz
2 Massey University Palmerston North, New Zealand
3 School of Computing Sciences, Untiversity of East Anglia Norwich, UK

Edited by Rod Page: Associate Editor


   Abstract

Inferring species phylogenies is an important part of understanding molecular evolution. Even so, it is well known that an accurate phylogenetic tree reconstruction for a single gene does not always necessarily correspond to the species phylogeny. One commonly accepted strategy to cope with this problem is to sequence many genes; the way in which to analyze the resulting collection of genes is somewhat more contentious. Supermatrix and supertree methods can be used, although these can suppress conflicts arising from true differences in the gene trees caused by processes such as lineage sorting, horizontal gene transfer, or gene duplication and loss. In 2004, Huson et al. (IEEE/ACM Trans. Comput. Biol. Bioinformatics 1:151–158) presented the Z-closure method that can circumvent this problem by generating a supernetwork as opposed to a supertree. Here we present an alternative way for generating supernetworks called Q-imputation. In particular, we describe a method that uses quartet information to add missing taxa into gene trees. The resulting trees are subsequently used to generate consensus networks, networks that generalize strict and majority-rule consensus trees. Through simulations and application to real data sets, we compare Q-imputation to the matrix representation with parsimony (MRP) supertree method and Z-closure, and demonstrate that it provides a useful complementary tool.

Keywords: Consensus networks; consensus trees; genome phylogeny; phylogenetic networks; phylogenetic trees; supernetworks; supertrees

Received April 5, 2006; Revised June 14, 2006; Accepted August 25, 2006
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Syst BiolHome page
J. B. Whitfield, S. A. Cameron, D. H. Huson, and M. A. Steel
Filtered Z-Closure Supernetworks for Extracting and Visualizing Recurrent Signal from Incongruent Gene Trees
Syst Biol, December 1, 2008; 57(6): 939 - 947.
[Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.