Document Detail


Novel versus unsupported clades: assessing the qualitative support for clades in MRP supertrees.
MedLine Citation:
PMID:  14668120     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Matrix representation with parsimony (MRP) supertree construction has been criticized because the supertree may specify clades that are contradicted by every source tree contributing to it. Such unsupported clades may also occur using other supertree methods; however, their incidence is largely unknown. In this study, I investigated the frequency of unsupported clades in both simulated and empirical MRP supertrees. Here, I propose a new index, QS, to quantify the qualitative support for a supertree and its clades among the set of source trees. Results show that unsupported clades are very rare in MRP supertrees, occurring most often when there are few source trees that all possess the same set of taxa. However, even under these conditions the frequency of unsupported clades was <0.2%. Unsupported clades were absent from both the Carnivora and Lagomorpha supertrees, reflecting the use of large numbers of source trees for both. The proposed QS indices are correlated broadly with another measure of quantitative clade support (bootstrap frequencies, as derived from resampling of the MRP matrix) but appear to be more sensitive. More importantly, they sample at the level of the source trees and thus, unlike the bootstrap, are suitable for summarizing the support of MRP supertree clades.
Authors:
Olaf R P Bininda-Emonds
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Systematic biology     Volume:  52     ISSN:  1063-5157     ISO Abbreviation:  Syst. Biol.     Publication Date:  2003 Dec 
Date Detail:
Created Date:  2003-12-11     Completed Date:  2004-02-20     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9302532     Medline TA:  Syst Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  839-48     Citation Subset:  IM    
Affiliation:
Lehrstuhl für Tierzucht, Technical University of Munich, Alte Akademie 12, 85354 Freising-Weihenstephan, Germany. Olaf.Bininda@tierzucht.tum.de
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Animals
Carnivora / genetics
Classification / methods*
Computer Simulation
Data Interpretation, Statistical*
Models, Theoretical*
Phylogeny*

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