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PMID: 6317874 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

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

Journal of molecular evolution ·Vol. 19 ·No. 6 ·1983-00-00 ·Pages 437-48

Holmquist R, Goodman M, Conroy T, Czelusniak J

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.

MeSH Terms
Amino Acid Sequence Animals Codon/genetics Cytochrome c Group/genetics Genes Hemoglobins/genetics Humans Models, Genetic Mutation Myoglobin/genetics Phylogeny Proteins/genetics
Chemicals
Codon Cytochrome c Group Hemoglobins Myoglobin Proteins
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Holmquist R
Goodman M
Conroy T
Czelusniak J
References (12)
12 references, click to expand
  1. A method for constructing maximum parsimony ancestral amino acid sequences on a given network.
    J Theor Biol. 1973 Mar;38(3):459-85 PMID: 4734980
  2. The method of parsimony: an experimental test and theoretical analysis of the adequacy of molecular restoration studies.
    J Mol Biol. 1979 Dec 25;135(4):939-58 PMID: 537098
  3. Biases of the estimates of DNA divergence obtained by the restriction enzyme technique.
    J Mol Evol. 1982;18(2):115-20 PMID: 6284946
  4. Descent of mammalian alpha globin chain sequences investigated by the maximum parsimony method.
    J Mol Biol. 1972 Aug 21;69(2):249-78 PMID: 4627161
  5. A measure of the denseness of a phylogenetic network.
    J Mol Evol. 1978 Aug 2;11(3):225-31 PMID: 691073
  6. Theoretical foundations for quantitative paleogenetics. Part III: The molecular divergence of nucleic acids and proteins for the case of genetic events of unequal probability.
    J Mol Evol. 1980 Dec;16(3-4):211-67 PMID: 7205964
  7. An improved method for determining codon variability in a gene and its application to the rate of fixation of mutations in evolution.
    Biochem Genet. 1970 Oct;4(5):579-93 PMID: 5489762
  8. Fitting discrete probability distributions to evolutionary events.
    Science. 1971 Jun 11;172(3988):1089-96 PMID: 5574514
  9. Mathematical model for studying genetic variation in terms of restriction endonucleases.
    Proc Natl Acad Sci U S A. 1979 Oct;76(10):5269-73 PMID: 291943
  10. The phylogeny of human globin genes investigated by the maximum parsimony method.
    J Mol Evol. 1974 Feb 28;3(1):1-48 PMID: 4208305
  11. Evolution of cytochrome C investigated by the maximum parsimony method.
    J Mol Evol. 1981;17(4):197-213 PMID: 6267311
  12. Decoding the pattern of protein evolution.
    Prog Biophys Mol Biol. 1981;38(2):105-64 PMID: 6270732
Article Info
Journal
Journal of molecular evolution
Abbr.
J Mol Evol
ISSN
0022-2844
Published
1983-00-00
Pages
437-48
Language
English
Region
Germany
NLM ID
0360051
Subset
IM
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