Literature DB >> 12078638

Misinformative characters and phylogeny shape.

B A Salisbury1.   

Abstract

The discrepancy between theoretical and observed distributions of tree shapes in recent surveys of phylogeny estimates has lead to investigations of possible biological and methodological causes. I investigated whether the phylogenetic quality of characters is related to the tree shape on which they evolve. Simulated evolution revealed shape-related tendencies for characters to indicate correct cladistic relationships; these differences were measured by examining the characters directly, without deriving any phylogeny estimates. Tree stemminess indices correlated strongly with character quality when characters evolved either speciationally or phyletically. Tree balance was a significant correlate of character quality under speciational evolution but not under phyletic evolution. These results help explain the findings of other simulation studies. With additional study of the behavior of evolving characters and their interaction with phylogenetic methods, we might be able to increase the accuracy of tree estimation and compensate for potential biases related to shape. These results give further reason for caution in trusting phylogeny estimates.

Mesh:

Year:  1999        PMID: 12078638     DOI: 10.1080/106351599260508

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  3 in total

1.  Assessing the value of DNA barcodes for molecular phylogenetics: effect of increased taxon sampling in lepidoptera.

Authors:  John James Wilson
Journal:  PLoS One       Date:  2011-09-09       Impact factor: 3.240

2.  Measuring Stratigraphic Congruence Across Trees, Higher Taxa, and Time.

Authors:  Anne O'Connor; Matthew A Wills
Journal:  Syst Biol       Date:  2016-05-06       Impact factor: 15.683

3.  Universal artifacts affect the branching of phylogenetic trees, not universal scaling laws.

Authors:  Cristian R Altaba
Journal:  PLoS One       Date:  2009-02-26       Impact factor: 3.240

  3 in total

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