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Three-taxon analysis

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Title: Three-taxon analysis  
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Three-taxon analysis

Three-taxon analysis (or TTS, three-item analysis, 3ia) is a biogeographic areas. It attempts to reconstruct complex phylogenetic trees by breaking the problem down into simpler chunks. Rather than try to resolve the relationships of all X taxa at once, it considers taxa 3 at a time. It is relatively easy to generate three-taxon statements (3is); that is, statements of the form "A and B are more closely related to one another than to C".[2] Once each group of three taxa has been considered, the method constructs a tree that is consistent with as many three-item statements as possible.[2] A computer program, LisBeth,[3] implementing three-taxon analysis (for systematic and biogeographic studies) has been freely released. A recent simulation-based study found that Three-taxon analysis yields good power and an error rate intermediate between parsimony with ordered states and parsimony with unordered states.[4]

Three-taxon analysis (3ia). Modified from Figure 1 from this paper:Grand A, Corvez A, Duque Velez LM, Laurin M. 2013.
Phylogenetic inference using discrete characters: performance of ordered and unordered parsimony and of three-item statements. Biol J Linn Soc. 110(4): 914–930.

See also

References

  1. ^ Nelson, G.; Platnick, N. I. (1991). "Three-Taxon Statements: A More Precise Use of Parsimony?". Cladistics 7 (4): 351.  
  2. ^ a b Zaragüaut;eta-Bagils, R.; Bourdon, E. (2007). "Three-item analysis: Hierarchical representation and treatment of missing and inapplicable data". Comptes Rendus Palevol 6 (6–7): 527.  
  3. ^ Bagils, R. Z. E.; Ung, V.; Grand, A. S.; Vignes-Lebbe, R. G.; Cao, N. L.; Ducasse, J. (2012). "LisBeth: New cladistics for phylogenetics and biogeography". Comptes Rendus Palevol 11 (8): 563.  
  4. ^ Grand A, Corvez A, Duque Velez LM, Laurin M. 2013. Phylogenetic inference using discrete characters: performance of ordered and unordered parsimony and of three-item statements. Biological Journal of the Linnean Society. (Early View version)
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