Document Detail


Building supertrees: an empirical assessment using the grass family (Poaceae).
MedLine Citation:
PMID:  11943096     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Large and comprehensive phylogenetic trees are desirable for studying macroevolutionary processes and for classification purposes. Such trees can be obtained in two different ways. Either the widest possible range of taxa can be sampled and used in a phylogenetic analysis to produce a "big tree," or preexisting topologies can be used to create a supertree. Although large multigene analyses are often favored, combinable data are not always available, and supertrees offer a suitable solution. The most commonly used method of supertree reconstruction, matrix representation with parsimony (MRP), is presented here. We used a combined data set for the Poaceae to (1) assess the differences between an approach that uses combined data and one that uses different MRP modifications based on the character partitions and (2) investigate the advantages and disadvantages of these modifications. Baum and Ragan and Purvis modifications gave similar results. Incorporating bootstrap support associated with pre-existing topologies improved Baum and Ragan modification and its similarity with a combined analysis. Finally, we used the supertree reconstruction approach on 55 published phylogenies to build one of most comprehensive phylogenetic trees published for the grass family including 403 taxa and discuss its strengths and weaknesses in relation to other published hypotheses.
Authors:
Nicolas Salamin; Trevor R Hodkinson; Vincent Savolainen
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Systematic biology     Volume:  51     ISSN:  1063-5157     ISO Abbreviation:  Syst. Biol.     Publication Date:  2002 Feb 
Date Detail:
Created Date:  2002-04-10     Completed Date:  2002-07-22     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9302532     Medline TA:  Syst Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  136-50     Citation Subset:  IM    
Affiliation:
Department of Botany, University of Dublin, Trinity College, Dublin 2, Ireland. salaminn@tcd.ie
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MeSH Terms
Descriptor/Qualifier:
Data Interpretation, Statistical
Databases, Genetic
Genetic Techniques
Models, Genetic
Phylogeny*
Poaceae / classification*,  genetics*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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