Literature DB >> 7463489

A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences.

M Kimura.   

Abstract

Some simple formulae were obtained which enable us to estimate evolutionary distances in terms of the number of nucleotide substitutions (and, also, the evolutionary rates when the divergence times are known). In comparing a pair of nucleotide sequences, we distinguish two types of differences; if homologous sites are occupied by different nucleotide bases but both are purines or both pyrimidines, the difference is called type I (or "transition" type), while, if one of the two is a purine and the other is a pyrimidine, the difference is called type II (or "transversion" type). Letting P and Q be respectively the fractions of nucleotide sites showing type I and type II differences between two sequences compared, then the evolutionary distance per site is K = -(1/2) ln [(1-2P-Q) square root of 1-2Q]. The evolutionary rate per year is then given by k = K/(2T), where T is the time since the divergence of the two sequences. If only the third codon positions are compared, the synonymous component of the evolutionary base substitutions per site is estimated by K'S = -(1/2) ln (1-2P-Q). Also, formulae for standard errors were obtained. Some examples were worked out using reported globin sequences to show that synonymous substitutions occur at much higher rates than amino acid-altering substitutions in evolution.

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Year:  1980        PMID: 7463489     DOI: 10.1007/bf01731581

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


  16 in total

1.  Two types of amino acid substitutions in protein evolution.

Authors:  T Miyata; S Miyazawa; T Yasunaga
Journal:  J Mol Evol       Date:  1979-03-15       Impact factor: 2.395

2.  On some principles governing molecular evolution.

Authors:  M Kimura; T Ohta
Journal:  Proc Natl Acad Sci U S A       Date:  1974-07       Impact factor: 11.205

3.  Non-Darwinian evolution.

Authors:  J L King; T H Jukes
Journal:  Science       Date:  1969-05-16       Impact factor: 47.728

4.  The sequence of the chromosomal mouse beta-globin major gene: homologies in capping, splicing and poly(A) sites.

Authors:  D A Konkel; S M Tilghman; P Leder
Journal:  Cell       Date:  1978-12       Impact factor: 41.582

5.  Molecular cloning and sequence analysis of adult chicken betal globin cDNA.

Authors:  R I Richards; J Shine; A Ullrich; J R Wells; H M Goodman
Journal:  Nucleic Acids Res       Date:  1979-11-10       Impact factor: 16.971

6.  The primary structure of rabbit beta-globin mRNA as determined from cloned DNA.

Authors:  A Efstratiadis; F C Kafatos; T Maniatis
Journal:  Cell       Date:  1977-04       Impact factor: 41.582

7.  A mouse alpha-globin-related pseudogene lacking intervening sequences.

Authors:  E F Vanin; G I Goldberg; P W Tucker; O Smithies
Journal:  Nature       Date:  1980-07-17       Impact factor: 49.962

8.  The primary sequence of rabbit alpha-globin mRNA.

Authors:  H C Heindell; A Liu; G V Paddock; G M Studnicka; W A Salser
Journal:  Cell       Date:  1978-09       Impact factor: 41.582

9.  Molecular evolution of mRNA: a method for estimating evolutionary rates of synonymous and amino acid substitutions from homologous nucleotide sequences and its application.

Authors:  T Miyata; T Yasunaga
Journal:  J Mol Evol       Date:  1980-09       Impact factor: 2.395

10.  Human beta-globin messenger RNA. III. Nucleotide sequences derived from complementary DNA.

Authors:  C A Marotta; J T Wilson; B G Forget; S M Weissman
Journal:  J Biol Chem       Date:  1977-07-25       Impact factor: 5.157

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  2000 in total

1.  Molecular phylogenetic analysis of archaeal intron-containing genes coding for rRNA obtained from a deep-subsurface geothermal water pool.

Authors:  K Takai; K Horikoshi
Journal:  Appl Environ Microbiol       Date:  1999-12       Impact factor: 4.792

2.  Estimation of past demographic parameters from the distribution of pairwise differences when the mutation rates vary among sites: application to human mitochondrial DNA.

Authors:  S Schneider; L Excoffier
Journal:  Genetics       Date:  1999-07       Impact factor: 4.562

3.  Comparative diversity of ammonia oxidizer 16S rRNA gene sequences in native, tilled, and successional soils.

Authors:  M A Bruns; J R Stephen; G A Kowalchuk; J I Prosser; E A Paul
Journal:  Appl Environ Microbiol       Date:  1999-07       Impact factor: 4.792

4.  Sequence analysis of mitochondrial 16S ribosomal RNA gene fragment from seven mosquito species.

Authors:  Y S Shouche; M S Patole
Journal:  J Biosci       Date:  2000-12       Impact factor: 1.826

5.  Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach.

Authors:  P Beerli; J Felsenstein
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-03       Impact factor: 11.205

6.  Why hunter-gatherer populations do not show signs of pleistocene demographic expansions.

Authors:  L Excoffier; S Schneider
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-14       Impact factor: 11.205

7.  Replicated evolution of trophic specializations in an endemic cichlid fish lineage from Lake Tanganyika.

Authors:  L Rüber; E Verheyen; A Meyer
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-31       Impact factor: 11.205

8.  Genetic diversity of archaea in deep-sea hydrothermal vent environments.

Authors:  K Takai; K Horikoshi
Journal:  Genetics       Date:  1999-08       Impact factor: 4.562

9.  mtDNA history of the Cayapa Amerinds of Ecuador: detection of additional founding lineages for the Native American populations.

Authors:  O Rickards; C Martínez-Labarga; J K Lum; G F De Stefano; R L Cann
Journal:  Am J Hum Genet       Date:  1999-08       Impact factor: 11.025

10.  Evolution of the rodent eosinophil-associated RNase gene family by rapid gene sorting and positive selection.

Authors:  J Zhang; K D Dyer; H F Rosenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2000-04-25       Impact factor: 11.205

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