Literature DB >> 7932784

Inconsistency of the maximum parsimony method when the rate of nucleotide substitution is constant.

N Takezaki1, M Nei.   

Abstract

The inconsistency of the maximum parsimony method is known to occur even when the rate of nucleotide substitution is constant. To understand why this inconsistency occurs, a mathematical study was conducted for the cases of five, six, and seven sequences. The results obtained indicate that this inconsistency occurs because the probability of occurrence of nucleotide configurations generated by one substitution on a short interior branch is often lower than that of configurations generated by more substitutions on other longer branches. The chance of occurrence of this event--or, the inconsistency of the maximum parsimony method--apparently increases as the number of sequences increases. The inconsistency may occur even when the extent of sequence divergence is relatively small.

Mesh:

Year:  1994        PMID: 7932784     DOI: 10.1007/bf00163810

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  10 in total

1.  The consistency of several phylogeny-inference methods under varying evolutionary rates.

Authors:  R W DeBry
Journal:  Mol Biol Evol       Date:  1992-05       Impact factor: 16.240

2.  The number of nucleotides required to determine the branching order of three species, with special reference to the human-chimpanzee-gorilla divergence.

Authors:  N Saitou; M Nei
Journal:  J Mol Evol       Date:  1986       Impact factor: 2.395

3.  Evaluation of the maximum likelihood estimate of the evolutionary tree topologies from DNA sequence data, and the branching order in hominoidea.

Authors:  H Kishino; M Hasegawa
Journal:  J Mol Evol       Date:  1989-08       Impact factor: 2.395

4.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

Authors:  N Saitou; M Nei
Journal:  Mol Biol Evol       Date:  1987-07       Impact factor: 16.240

5.  Relative efficiencies of the maximum parsimony and distance-matrix methods in obtaining the correct phylogenetic tree.

Authors:  J Sourdis; M Nei
Journal:  Mol Biol Evol       Date:  1988-05       Impact factor: 16.240

6.  Theoretical foundation of the minimum-evolution method of phylogenetic inference.

Authors:  A Rzhetsky; M Nei
Journal:  Mol Biol Evol       Date:  1993-09       Impact factor: 16.240

7.  Estimation of evolutionary distance for reconstructing molecular phylogenetic trees.

Authors:  F Tajima; N Takezaki
Journal:  Mol Biol Evol       Date:  1994-03       Impact factor: 16.240

8.  Relative efficiencies of the maximum-likelihood, neighbor-joining, and maximum-parsimony methods when substitution rate varies with site.

Authors:  Y Tateno; N Takezaki; M Nei
Journal:  Mol Biol Evol       Date:  1994-03       Impact factor: 16.240

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

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

10.  Statistical properties of the ordinary least-squares, generalized least-squares, and minimum-evolution methods of phylogenetic inference.

Authors:  A Rzhetsky; M Nei
Journal:  J Mol Evol       Date:  1992-10       Impact factor: 2.395

  10 in total
  5 in total

1.  Independent and combined analyses of sequences from all three genomic compartments converge on the root of flowering plant phylogeny.

Authors:  T J Barkman; G Chenery; J R McNeal; J Lyons-Weiler; W J Ellisens; G Moore; A D Wolfe; C W dePamphilis
Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-21       Impact factor: 11.205

2.  Phylogenetic analysis using parsimony and likelihood methods.

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

3.  Identification, classification, and phylogeny of the pathogenic species Exophiala jeanselmei and related species by mitochondrial cytochrome b gene analysis.

Authors:  L Wang; K Yokoyama; M Miyaji; K Nishimura
Journal:  J Clin Microbiol       Date:  2001-12       Impact factor: 5.948

4.  Pitfalls of the site-concordance factor (sCF) as measure of phylogenetic branch support.

Authors:  Patrick Kück; Juliane Romahn; Karen Meusemann
Journal:  NAR Genom Bioinform       Date:  2022-09-15

5.  Visualizing differences in phylogenetic information content of alignments and distinction of three classes of long-branch effects.

Authors:  Johann Wolfgang Wägele; Christoph Mayer
Journal:  BMC Evol Biol       Date:  2007-08-28       Impact factor: 3.260

  5 in total

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