Literature DB >> 7739391

Testing the covarion hypothesis of molecular evolution.

M M Miyamoto1, W M Fitch.   

Abstract

The covarion hypothesis of molecular evolution states that the fixation of mutations may alter the probability that any given position will fix the next change. Tests of this hypothesis using the divergence of real sequences are compromised because models of rate variation among sites (e.g., the gamma version of the one-parameter equation) predict sequence divergence values similar to those for the covarion process. This study therefore focuses on the extent to which the varied and unvaried codons of two well-diverged taxa are the same, because fewer are expected by the covarion hypothesis than by the gamma model. The data for these tests are the protein sequences of Cu, Zn superoxide dismutase (SOD) for mammals and plants. Simulation analyses show that the covarion hypothesis makes better predictions about the frequencies of varied and unhit positions in common between these two taxa than does the gamma version of the one-parameter model. Furthermore, the analysis of SOD tertiary structure demonstrates that mammal and plant variabilities are distributed differently on the protein. These results support the conclusions that the variable and invariable codons of mammal and plant SODs are different and that the covarion model explains the evolution of this protein better than the gamma version of the one-parameter process. Unlike other models, the covarion hypothesis accounts for rate fluctuations among positions over time, which is an important parameter of molecular evolution.

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Year:  1995        PMID: 7739391     DOI: 10.1093/oxfordjournals.molbev.a040224

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


  24 in total

1.  Function-structure analysis of proteins using covarion-based evolutionary approaches: Elongation factors.

Authors:  E A Gaucher; M M Miyamoto; S A Benner
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-16       Impact factor: 11.205

2.  From complete genomes to measures of substitution rate variability within and between proteins.

Authors:  N V Grishin; Y I Wolf; E V Koonin
Journal:  Genome Res       Date:  2000-07       Impact factor: 9.043

3.  Early-branching or fast-evolving eukaryotes? An answer based on slowly evolving positions.

Authors:  H Philippe; P Lopez; H Brinkmann; K Budin; A Germot; J Laurent; D Moreira; M Müller; H Le Guyader
Journal:  Proc Biol Sci       Date:  2000-06-22       Impact factor: 5.349

Review 4.  Genomic biodiversity, phylogenetics and coevolution in proteins.

Authors:  David D Pollock
Journal:  Appl Bioinformatics       Date:  2002

5.  Analysis of missense variation in human BRCA1 in the context of interspecific sequence variation.

Authors:  V Abkevich; A Zharkikh; A M Deffenbaugh; D Frank; Y Chen; D Shattuck; M H Skolnick; A Gutin; S V Tavtigian
Journal:  J Med Genet       Date:  2004-07       Impact factor: 6.318

6.  A collection of amino acid replacement matrices derived from clusters of orthologs.

Authors:  Rolf Olsen; William F Loomis
Journal:  J Mol Evol       Date:  2005-10-20       Impact factor: 2.395

7.  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

8.  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

9.  The correlation between synonymous and nonsynonymous substitutions in Drosophila: mutation, selection or relaxed constraints?

Authors:  J M Comeron; M Kreitman
Journal:  Genetics       Date:  1998-10       Impact factor: 4.562

10.  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

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