Literature DB >> 15746012

Likelihood, parsimony, and heterogeneous evolution.

Matthew Spencer, Edward Susko, Andrew J Roger.   

Abstract

Evolutionary rates vary among sites and across the phylogenetic tree (heterotachy). A recent analysis suggested that parsimony can be better than standard likelihood at recovering the true tree given heterotachy. The authors recommended that results from parsimony, which they consider to be nonparametric, be reported alongside likelihood results. They also proposed a mixture model, which was inconsistent but better than either parsimony or standard likelihood under heterotachy. We show that their main conclusion is limited to a special case for the type of model they study. Their mixture model was inconsistent because it was incorrectly implemented. A useful nonparametric model should perform well over a wide range of possible evolutionary models, but parsimony does not have this property. Likelihood-based methods are therefore the best way to deal with heterotachy.

Mesh:

Year:  2005        PMID: 15746012     DOI: 10.1093/molbev/msi123

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  24 in total

Review 1.  Taking the first steps towards a standard for reporting on phylogenies: Minimum Information About a Phylogenetic Analysis (MIAPA).

Authors:  Jim Leebens-Mack; Todd Vision; Eric Brenner; John E Bowers; Steven Cannon; Mark J Clement; Clifford W Cunningham; Claude dePamphilis; Rob deSalle; Jeff J Doyle; Jonathan A Eisen; Xun Gu; John Harshman; Robert K Jansen; Elizabeth A Kellogg; Eugene V Koonin; Brent D Mishler; Hervé Philippe; J Chris Pires; Yin-Long Qiu; Seung Y Rhee; Kimmen Sjölander; Douglas E Soltis; Pamela S Soltis; Dennis W Stevenson; Kerr Wall; Tandy Warnow; Christian Zmasek
Journal:  OMICS       Date:  2006

Review 2.  The origin and diversification of eukaryotes: problems with molecular phylogenetics and molecular clock estimation.

Authors:  Andrew J Roger; Laura A Hug
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-06-29       Impact factor: 6.237

3.  Topological estimation biases with covarion evolution.

Authors:  Huai-Chun Wang; Edward Susko; Matthew Spencer; Andrew J Roger
Journal:  J Mol Evol       Date:  2007-12-14       Impact factor: 2.395

4.  Characterization and phylogenetic analysis of a cnidarian LMP X-like cDNA.

Authors:  Larry J Dishaw; Manuel L Herrera; Charles H Bigger
Journal:  Immunogenetics       Date:  2006-03-22       Impact factor: 2.846

5.  A mixed branch length model of heterotachy improves phylogenetic accuracy.

Authors:  Bryan Kolaczkowski; Joseph W Thornton
Journal:  Mol Biol Evol       Date:  2008-03-03       Impact factor: 16.240

6.  Modelling heterotachy in phylogenetic inference by reversible-jump Markov chain Monte Carlo.

Authors:  Mark Pagel; Andrew Meade
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-12-27       Impact factor: 6.237

7.  Phylogenetic tree reconstruction accuracy and model fit when proportions of variable sites change across the tree.

Authors:  Liat Shavit Grievink; David Penny; Michael D Hendy; Barbara R Holland
Journal:  Syst Biol       Date:  2010-03-01       Impact factor: 15.683

8.  PROCOV: maximum likelihood estimation of protein phylogeny under covarion models and site-specific covarion pattern analysis.

Authors:  Huai-Chun Wang; Edward Susko; Andrew J Roger
Journal:  BMC Evol Biol       Date:  2009-09-08       Impact factor: 3.260

9.  Long-branch attraction bias and inconsistency in Bayesian phylogenetics.

Authors:  Bryan Kolaczkowski; Joseph W Thornton
Journal:  PLoS One       Date:  2009-12-09       Impact factor: 3.240

10.  Inference and characterization of horizontally transferred gene families using stochastic mapping.

Authors:  Ofir Cohen; Tal Pupko
Journal:  Mol Biol Evol       Date:  2009-10-06       Impact factor: 16.240

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