Literature DB >> 3447007

A rate-independent technique for analysis of nucleic acid sequences: evolutionary parsimony.

J A Lake1.   

Abstract

The method of evolutionary parsimony--or operator invariants--is a technique of nucleic acid sequence analysis related to parsimony analysis and explicitly designed for determining evolutionary relationships among four distantly related taxa. The method is independent of substitution rates because it is derived from consideration of the group properties of substitution operators rather than from an analysis of the probabilities of substitution in branches of a tree. In both parsimony and evolutionary parsimony, three patterns of nucleotide substitution are associated one-to-one with the three topologically linked trees for four taxa. In evolutionary parsimony, the three quantities are operator invariants. These invariants are the remnants of substitutions that have occurred in the interior branch of the tree and are analogous to the substitutions assigned to the central branch by parsimony. The two invariants associated with the incorrect trees must equal zero (statistically), whereas only the correct tree can have a nonzero invariant. The chi 2-test is used to ascertain the nonzero invariant and the statistically favored tree. Examples, obtained using data calculated with evolutionary rates and branchings designed to camouflage the true tree, show that the method accurately predicts the tree, even when substitution rates differ greatly in neighboring peripheral branches (conditions under which parsimony will consistently fail). As the number of substitutions in peripheral branches becomes fewer, the parsimony and the evolutionary-parsimony solutions converge. The method is robust and easy to use.

Mesh:

Year:  1987        PMID: 3447007     DOI: 10.1093/oxfordjournals.molbev.a040433

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


  56 in total

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3.  'Compensatory slippage' in the evolution of ribosomal RNA genes.

Authors:  J M Hancock; G A Dover
Journal:  Nucleic Acids Res       Date:  1990-10-25       Impact factor: 16.971

4.  Identifying the rooted species tree from the distribution of unrooted gene trees under the coalescent.

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Journal:  J Math Biol       Date:  2010-07-23       Impact factor: 2.259

5.  Compositional statistics: an improvement of evolutionary parsimony and its application to deep branches in the tree of life.

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Journal:  J Mol Evol       Date:  1990-07       Impact factor: 2.395

6.  Matrix group structure and Markov invariants in the strand symmetric phylogenetic substitution model.

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Journal:  J Math Biol       Date:  2015-12-11       Impact factor: 2.259

7.  Early evolutionary relationships among known life forms inferred from elongation factor EF-2/EF-G sequences: phylogenetic coherence and structure of the archaeal domain.

Authors:  P Cammarano; P Palm; R Creti; E Ceccarelli; A M Sanangelantoni; O Tiboni
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8.  Phylogenetic analysis of the RNA polymerases of Trypanosoma brucei, with special reference to class-specific transcription.

Authors:  W Jess; P Palm; R Evers; J Köck; A W Cornelissen
Journal:  Curr Genet       Date:  1990-12       Impact factor: 3.886

9.  A comparison of 18s ribosomal RNA and rubisco large subunit sequences for studying angiosperm phylogeny.

Authors:  P G Martin; J M Dowd
Journal:  J Mol Evol       Date:  1991-09       Impact factor: 2.395

10.  Evolutionary implications of the cDNA sequence of the single lactate dehydrogenase of a lamprey.

Authors:  D W Stock; G S Whitt
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-01       Impact factor: 11.205

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