Literature DB >> 10687814

Complexity of the simplest phylogenetic estimation problem.

Z Yang1.   

Abstract

The maximum-likelihood (ML) solution to a simple phylogenetic estimation problem is obtained analytically The problem is estimation of the rooted tree for three species using binary characters with a symmetrical rate of substitution under the molecular clock. ML estimates of branch lengths and log-likelihood scores are obtained analytically for each of the three rooted binary trees. Estimation of the tree topology is equivalent to partitioning the sample space (space of possible data outcomes) into subspaces, within each of which one of the three binary trees is the ML tree. Distance-based least squares and parsimony-like methods produce essentially the same estimate of the tree topology, although differences exist among methods even under this simple model. This seems to be the simplest case, but has many of the conceptual and statistical complexities involved in phylogeny estimation. The solution to this real phylogeny estimation problem will be useful for studying the problem of significance evaluation.

Mesh:

Year:  2000        PMID: 10687814      PMCID: PMC1690513          DOI: 10.1098/rspb.2000.0974

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  11 in total

1.  On the consistency of maximum likelihood estimation of phylogenetic trees from nucleotide sequences.

Authors:  J S Rogers
Journal:  Syst Biol       Date:  1997-06       Impact factor: 15.683

2.  Topological bias and inconsistency of maximum likelihood using wrong models.

Authors:  W J Bruno; A L Halpern
Journal:  Mol Biol Evol       Date:  1999-04       Impact factor: 16.240

3.  Statistical properties of bootstrap estimation of phylogenetic variability from nucleotide sequences. I. Four taxa with a molecular clock.

Authors:  A Zharkikh; W H Li
Journal:  Mol Biol Evol       Date:  1992-11       Impact factor: 16.240

4.  Inconsistency of evolutionary tree topology reconstruction methods when substitution rates vary across characters.

Authors:  J T Chang
Journal:  Math Biosci       Date:  1996-06       Impact factor: 2.144

5.  Probability distribution of molecular evolutionary trees: a new method of phylogenetic inference.

Authors:  B Rannala; Z Yang
Journal:  J Mol Evol       Date:  1996-09       Impact factor: 2.395

6.  Phylogenetic analysis using parsimony and likelihood methods.

Authors:  Z Yang
Journal:  J Mol Evol       Date:  1996-02       Impact factor: 2.395

7.  How often do wrong models produce better phylogenies?

Authors:  Z Yang
Journal:  Mol Biol Evol       Date:  1997-01       Impact factor: 16.240

8.  Property and efficiency of the maximum likelihood method for molecular phylogeny.

Authors:  N Saitou
Journal:  J Mol Evol       Date:  1988       Impact factor: 2.395

9.  Evolutionary trees from DNA sequences: a maximum likelihood approach.

Authors:  J Felsenstein
Journal:  J Mol Evol       Date:  1981       Impact factor: 2.395

10.  Mitochondrial DNA sequences of primates: tempo and mode of evolution.

Authors:  W M Brown; E M Prager; A Wang; A C Wilson
Journal:  J Mol Evol       Date:  1982       Impact factor: 2.395

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  5 in total

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Journal:  Mol Biol Evol       Date:  2009-10-15       Impact factor: 16.240

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Authors:  Bo Xu; Ziheng Yang
Journal:  Genetics       Date:  2016-12       Impact factor: 4.562

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Authors:  Yu Song; Jie Gao; Fengxi Yang; Chai-Shian Kua; Jingxin Liu; Charles H Cannon
Journal:  PLoS One       Date:  2013-07-01       Impact factor: 3.240

4.  Adaptive evolution of SCML1 in primates, a gene involved in male reproduction.

Authors:  Hai-hui Wu; Bing Su
Journal:  BMC Evol Biol       Date:  2008-07-05       Impact factor: 3.260

5.  Auto-validating von Neumann rejection sampling from small phylogenetic tree spaces.

Authors:  Raazesh Sainudiin; Thomas York
Journal:  Algorithms Mol Biol       Date:  2009-01-07       Impact factor: 1.405

  5 in total

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