Cited by 377Genomics and Phylogenetic StudiesRNA and protein synthesis mechanismsFractal and DNA sequence analysis

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

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James A. Lake·1987·Molecular Biology and Evolution

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.

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Crossref · 10.1093/oxfordjournals.molbev.a040433

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Authors
Lake, J. A.
Affiliations
University of California, Los Angeles (US)
Corresponding author
James A. Lake
Venue
Molecular Biology and Evolution
Published
1987-03
Volume
4
Issue
2
Pages
167-91
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
OpenAlex
W2165801219
Cited by
377
References
0
Citations by year
2025: 3 · 2023: 3 · 2022: 2 · 2021: 5 · 2020: 4 · 2019: 5 · 2018: 5 · 2017: 4 · 2016: 9 · 2015: 6 · 2014: 6 · 2013: 6 · 2012: 10
FWCI
8.46
Type
journal article
Language
en
Open access
Locations
  • Molecular Biology and Evolution (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Science Foundation
  • National Institute of General Medical Sciences (GM-24034)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
Keywords
nucleic acid sequence analysis, phylogenetic inference, substitution rate, parsimony analysis, chi-square test, substitution operator
MeSH terms
Base Sequence, Biometry, Biological Evolution, Methods, Models, Genetic

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