Literature DB >> 21113336

Are node-based and stem-based clades equivalent? Insights from graph theory.

Jeremy Martin1, David Blackburn, E O Wiley.   

Abstract

Despite the prominence of "tree-thinking" among contemporary systematists and evolutionary biologists, the biological meaning of different mathematical representations of phylogenies may still be muddled. We compare two basic kinds of discrete mathematical models used to portray phylogenetic relationships among species and higher taxa: stem-based trees and node-based trees. Each model is a tree in the sense that is commonly used in mathematics; the difference between them lies in the biological interpretation of their vertices and edges. Stem-based and node-based trees carry exactly the same information and the biological interpretation of each is similar. Translation between these two kinds of trees can be accomplished by a simple algorithm, which we provide. With the mathematical representation of stem-based and node-based trees clarified, we argue for a distinction between types of trees and types of names. Node-based and stem-based trees contain exactly the same information for naming clades. However, evolutionary concepts, such as monophyly, are represented as different mathematical substructures in the two models. For a given stem-based tree, one should employ stem-based names, whereas for a given node-based tree, one should use node-based names, but applying a node-based name to a stem-based tree is not logical because node-based names cannot exist on a stem-based tree and visa versa. Authors might use node-based and stem-based concepts of monophyly for the same representation of a phylogeny, yet, if so, they must recognize that such a representation differs from the graphical models used for computing in phylogenetic systematics.

Entities:  

Year:  2010        PMID: 21113336      PMCID: PMC2989695.1          DOI: 10.1371/currents.RRN1196

Source DB:  PubMed          Journal:  PLoS Curr        ISSN: 2157-3999


  7 in total

1.  Species delimitation in systematics: inferring diagnostic differences between species.

Authors:  J J Wiens; M R Servedio
Journal:  Proc Biol Sci       Date:  2000-04-07       Impact factor: 5.349

2.  A likelihood framework for inferring the evolution of geographic range on phylogenetic trees.

Authors:  Richard H Ree; Brian R Moore; Campbell O Webb; Michael J Donoghue
Journal:  Evolution       Date:  2005-11       Impact factor: 3.694

3.  Toward an integrated system of clade names.

Authors:  Kevin de Queiroz
Journal:  Syst Biol       Date:  2007-12       Impact factor: 15.683

4.  Understanding phylogenies in biology: the influence of a Gestalt Perceptual Principle.

Authors:  Laura R Novick; Kefyn M Catley
Journal:  J Exp Psychol Appl       Date:  2007-12

5.  Maximum likelihood inference of geographic range evolution by dispersal, local extinction, and cladogenesis.

Authors:  Richard H Ree; Stephen A Smith
Journal:  Syst Biol       Date:  2008-02       Impact factor: 15.683

6.  Toward a phylogenetic system of biological nomenclature.

Authors:  K de Queiroz; J Gauthier
Journal:  Trends Ecol Evol       Date:  1994-01       Impact factor: 17.712

Review 7.  On the Origin of Species by Means of Natural Selection, or the Preservation of Favoured Races in the Struggle for Life.

Authors: 
Journal:  Br Foreign Med Chir Rev       Date:  1860-04
  7 in total
  1 in total

Review 1.  Archaea: the first domain of diversified life.

Authors:  Gustavo Caetano-Anollés; Arshan Nasir; Kaiyue Zhou; Derek Caetano-Anollés; Jay E Mittenthal; Feng-Jie Sun; Kyung Mo Kim
Journal:  Archaea       Date:  2014-06-02       Impact factor: 3.273

  1 in total

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