Literature DB >> 24173437

Theoretical foundations for a quantitative approach to paleogenetics : Part II: Proteins.

R Holmquist1.   

Abstract

It is shown that simply counting the number of amino acid differences between two homologous present day proteins may underestimate the number of mutagenic events that have occurred by more than a factor of three. In a previous paper (Part I) it was shown how to correct quantitatively for multiple mutagenic events at the same base site and for back mutation at that site. In this paper formulas are derived to correct for multiple mutagenic events within the same codon triplet and for the degeneracy of the genetic code. These formulas are related to the often used concept of minimum mutation distance, and it is demonstrated that the latter underestimates the number of 3-base changes (per codon) by more than an order of magnitude. The formulas developed in this paper are shown to be capable of detectinga priori, and with statistical significance, the nonrandomness that is known from experiment to exist in theA fibrinopeptides of ox, reindeer, sheep, and goat; the formulas also show, with statistical significance, that the assumption of a single ancestral DNA does not suffice to explain the known number of amino acid differences which occur between pairs of these fibrinopeptides.More explicitly, the following problems are solved: 1. Consider a protein ofT amino acids which is coded by a polynucleotide ofL = 3 T individual nucleotide bases. Let exactlyX mutagenic events occur randomly along the length of this polynucleotide. After theX mutagenic events have occurred, a numberA, less than or equal toT, amino acid sites will differ from the corresponding sites in the ancestral protein. An explicit formula forN(A), the average number of amino acid substitutions that have occurred, is derived. 2. Because of chance identities, the number of amino acid differencesN(d) between two homologous present day proteins will be less thanN 1 (A) plusN 2 (A), where the subscripts refer to each homologue; a formula forN(d) is derived. 3. The limits of validity of the commonly used approximationN(A)=1/2N(d) are derived. 4. Formulas are given which permit the estimation of the proportion of amino acid substitutions which have occurred by one base, two base, and three base changes.

Entities:  

Year:  1972        PMID: 24173437     DOI: 10.1007/BF01659160

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


  7 in total

1.  AMINO-ACID SEQUENCE INVESTIGATIONS OF FIBRINOPEPTIDES FROM VARIOUS MAMMALS: EVOLUTIONARY IMPLICATIONS.

Authors:  R F DOOLITTLE; B BLOMBAECK
Journal:  Nature       Date:  1964-04-11       Impact factor: 49.962

Review 2.  SOME RECENT ADVANCES IN STUDIES OF THE TRANSCRIPTION OF THE GENETIC MESSAGE.

Authors:  T H JUKES
Journal:  Adv Biol Med Phys       Date:  1963

3.  A general method applicable to the search for similarities in the amino acid sequence of two proteins.

Authors:  S B Needleman; C D Wunsch
Journal:  J Mol Biol       Date:  1970-03       Impact factor: 5.469

Review 4.  Construction of phylogenetic trees.

Authors:  W M Fitch; E Margoliash
Journal:  Science       Date:  1967-01-20       Impact factor: 47.728

5.  Base composition of nonsense codons in E. coli. Evidence from amino-acid substitutions at a tryptophan site in alkaline phosphatase.

Authors:  M G Weigert; A Garen
Journal:  Nature       Date:  1965-06-05       Impact factor: 49.962

6.  Non-Darwinian evolution.

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

7.  Theoretical foundations for a quantitative approach to paleogenetics. Part I: DNA.

Authors:  R Holmquist
Journal:  J Mol Evol       Date:  1971       Impact factor: 2.395

  7 in total
  9 in total

1.  Simulation studies on the evolution of amino acid sequences.

Authors:  T Ohta
Journal:  J Mol Evol       Date:  1976-06-23       Impact factor: 2.395

2.  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

3.  An examination of the constancy of the rate of molecular evolution.

Authors:  C H Langley; W M Fitch
Journal:  J Mol Evol       Date:  1974       Impact factor: 2.395

4.  Sequence data: magnitude and implications of some ambiguities.

Authors:  R Holmquist; T H Jukes
Journal:  J Mol Evol       Date:  1972-12-29       Impact factor: 2.395

5.  The stochastic model and deviations from randomness in eukaryotic tRNAs: comparison with the PAM approach.

Authors:  R Holmquist
Journal:  J Mol Evol       Date:  1973       Impact factor: 2.395

6.  Empirical support for a stochastic model of evolution.

Authors:  R Holmquist
Journal:  J Mol Evol       Date:  1972       Impact factor: 2.395

7.  An improved method for estimating sequence divergence of DNA using restriction endonuclease mappings.

Authors:  N Kaplan; K Risko
Journal:  J Mol Evol       Date:  1981       Impact factor: 2.395

Review 8.  Estimating the total number of nucleotide substitutions since the common ancestor of a pair of homologous genes: comparison of several methods and three beta hemoglobin messenger RNA's.

Authors:  W M Fitch
Journal:  J Mol Evol       Date:  1980-12       Impact factor: 2.395

9.  Simulation of protein evolution by random fixation of allowed codons.

Authors:  M Coates; S Stone
Journal:  J Mol Evol       Date:  1981       Impact factor: 2.395

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.