Literature DB >> 2622335

Evidence from nuclear sequences that invariable sites should be considered when sequence divergence is calculated.

J S Shoemaker1, W M Fitch.   

Abstract

It has long been known, from the distribution of multiple amino acid replacements, that not all amino acids of a sequence are replaceable. More recently, the phenomenon was observed at the nucleotide level in mitochondrial DNA even after allowing for different rates of transition and transversion substitutions. We have extended the search to globin gene sequences from various organisms, with the following results: (1) Nearly every data set showed evidence of invariable nucleotide positions. (2) In all data sets, substitution rates of transversions and transitions were never in the ratio of 2/1, and rarely was the ratio even constant. (3) Only rarely (e.g., the third codon position of beta hemoglobins) was it possible to fit the data set solely by making allowance for the number of invariable positions and for the relative rates of transversion and transition substitutions. (4) For one data set (the second codon position of beta hemoglobins) we were able to simulate the observed data by making the allowance in (3) and having the set of covariotides (concomitantly variable nucleotides) be small in number and be turned over in a stochastic manner with a probability that was appreciable. (5) The fit in the latter case suggests, if the assumptions are correct and at all common, that current procedures for estimating the total number of nucleotide substitutions in two genes since their divergence from their common ancestor could be low by as much as an order of magnitude. (6) The fact that only a small fraction of the nucleotide positions differ is no guarantee that one is not seriously underestimating the total amount of divergence (substitutions). (7) Most data sets are so heterogeneous in their number of transition and transversion differences that none of the current models of nucleotide substitution seem to fit them even after (a) segregation of coding from noncoding sequences and (b) splitting of the codon into three subsets by codon position. (8) These frequently occurring problems cannot be seen unless several reasonably divergent orthologous genes are examined together.

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Year:  1989        PMID: 2622335     DOI: 10.1093/oxfordjournals.molbev.a040550

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


  19 in total

1.  Estimating the fraction of invariable codons with a capture-recapture method.

Authors:  A Sidow; T Nguyen; T P Speed
Journal:  J Mol Evol       Date:  1992-09       Impact factor: 2.395

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

Authors:  A Sidow; A C Wilson
Journal:  J Mol Evol       Date:  1990-07       Impact factor: 2.395

3.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

Review 4.  Statistics and truth in phylogenomics.

Authors:  Sudhir Kumar; Alan J Filipski; Fabia U Battistuzzi; Sergei L Kosakovsky Pond; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2011-08-26       Impact factor: 16.240

5.  Evolution of chlorophyll and bacteriochlorophyll: the problem of invariant sites in sequence analysis.

Authors:  P J Lockhart; A W Larkum; M Steel; P J Waddell; D Penny
Journal:  Proc Natl Acad Sci U S A       Date:  1996-03-05       Impact factor: 11.205

6.  The effects of variable mutation rates across sites on the phylogenetic estimation of effective population size or mutation rate of DNA sequences.

Authors:  H W Deng; Y X Fu
Journal:  Genetics       Date:  1996-11       Impact factor: 4.562

7.  Multi-copy nuclear pseudogenes of mitochondrial DNA reveal recent acute genetic changes in the human genome.

Authors:  G Hu; W G Thilly
Journal:  Curr Genet       Date:  1995-10       Impact factor: 3.886

8.  Network models for sequence evolution.

Authors:  A von Haeseler; G A Churchill
Journal:  J Mol Evol       Date:  1993-07       Impact factor: 2.395

9.  ADH evolution and the phylogenetic footprint.

Authors:  R L Dorit; F J Ayala
Journal:  J Mol Evol       Date:  1995-06       Impact factor: 2.395

10.  The superoxide dismutase molecular clock revisited.

Authors:  W M Fitch; F J Ayala
Journal:  Proc Natl Acad Sci U S A       Date:  1994-07-19       Impact factor: 11.205

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