Literature DB >> 6317874

The spatial distribution of fixed mutations within genes coding for proteins.

R Holmquist, M Goodman, T Conroy, J Czelusniak.   

Abstract

We have examined the extensive amino acid sequence data now available for five protein families - the alpha crystallin A chain, myoglobin, alpha and beta hemoglobin, and the cytochromes c - with the goal of estimating the true spatial distribution of base substitutions within genes that code for proteins. In every case the commonly used Poisson density failed to even approximate the experimental pattern of base substitution. For the 87 species of beta hemoglobin examined, for example, the probability that the observed results were from a Poisson process was the minuscule 10(-44). Analogous results were obtained for the other functional families. All the data were reasonably, but not perfectly, described by the negative binomial density. In particular, most of the data were described by one of the very simple limiting forms of this density, the geometric density. The implications of this for evolutionary inference are discussed. It is evident that most estimates of total base substitutions between genes are badly in need of revision.

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Year:  1983        PMID: 6317874     DOI: 10.1007/bf02102319

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


  12 in total

1.  Mathematical model for studying genetic variation in terms of restriction endonucleases.

Authors:  M Nei; W H Li
Journal:  Proc Natl Acad Sci U S A       Date:  1979-10       Impact factor: 11.205

2.  A method for constructing maximum parsimony ancestral amino acid sequences on a given network.

Authors:  G W Moore; J Barnabas; M Goodman
Journal:  J Theor Biol       Date:  1973-03       Impact factor: 2.691

3.  An improved method for determining codon variability in a gene and its application to the rate of fixation of mutations in evolution.

Authors:  W M Fitch; E Markowitz
Journal:  Biochem Genet       Date:  1970-10       Impact factor: 1.890

4.  The method of parsimony: an experimental test and theoretical analysis of the adequacy of molecular restoration studies.

Authors:  R Holmquist
Journal:  J Mol Biol       Date:  1979-12-25       Impact factor: 5.469

5.  Fitting discrete probability distributions to evolutionary events.

Authors:  T Uzzell; K W Corbin
Journal:  Science       Date:  1971-06-11       Impact factor: 47.728

6.  Biases of the estimates of DNA divergence obtained by the restriction enzyme technique.

Authors:  F Tajima; M Nei
Journal:  J Mol Evol       Date:  1982       Impact factor: 2.395

7.  A measure of the denseness of a phylogenetic network.

Authors:  R Holmquist
Journal:  J Mol Evol       Date:  1978-08-02       Impact factor: 2.395

8.  The phylogeny of human globin genes investigated by the maximum parsimony method.

Authors:  M Goodman; G W Moore; J Barnabas; G Matsuda
Journal:  J Mol Evol       Date:  1974-02-28       Impact factor: 2.395

9.  Theoretical foundations for quantitative paleogenetics. Part III: The molecular divergence of nucleic acids and proteins for the case of genetic events of unequal probability.

Authors:  R Holmquist; D Pearl
Journal:  J Mol Evol       Date:  1980-12       Impact factor: 2.395

10.  Descent of mammalian alpha globin chain sequences investigated by the maximum parsimony method.

Authors:  J Barnabas; M Goodman; G W Moore
Journal:  J Mol Biol       Date:  1972-08-21       Impact factor: 5.469

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  14 in total

1.  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

2.  Estimation of the number of amino acid substitutions per site when the substitution rate varies among sites.

Authors:  N V Grishin
Journal:  J Mol Evol       Date:  1995-11       Impact factor: 2.395

3.  Evolution of the cytochrome b gene of mammals.

Authors:  D M Irwin; T D Kocher; A C Wilson
Journal:  J Mol Evol       Date:  1991-02       Impact factor: 2.395

4.  A quantitative map of nucleotide substitution rates in bacterial rRNA.

Authors:  Y Van de Peer; S Chapelle; R De Wachter
Journal:  Nucleic Acids Res       Date:  1996-09-01       Impact factor: 16.971

5.  Estimation of evolutionary distances from protein spatial structures.

Authors:  N V Grishin
Journal:  J Mol Evol       Date:  1997-10       Impact factor: 2.395

6.  Accumulation pattern of amino acid substitutions in protein evolution.

Authors:  T Kunisawa; K Horimoto; J Otsuka
Journal:  J Mol Evol       Date:  1987       Impact factor: 2.395

7.  Shifting ditypic site analysis: heuristics for expanding the phylogenetic range of nucleotide sequences in Sankoff analyses.

Authors:  D L Nanney; R M Preparata; F P Preparata; E B Meyer; E M Simon
Journal:  J Mol Evol       Date:  1989-05       Impact factor: 2.395

8.  Variability of evolutionary rates of DNA.

Authors:  J H Gillespie
Journal:  Genetics       Date:  1986-08       Impact factor: 4.562

9.  Nonuniformity of nucleotide substitution rates in molecular evolution: computer simulation and analysis of 5S ribosomal RNA sequences.

Authors:  C L Manske; D J Chapman
Journal:  J Mol Evol       Date:  1987       Impact factor: 2.395

10.  Gamma-MYN: a new algorithm for estimating Ka and Ks with consideration of variable substitution rates.

Authors:  Da-Peng Wang; Hao-Lei Wan; Song Zhang; Jun Yu
Journal:  Biol Direct       Date:  2009-06-16       Impact factor: 4.540

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