Literature DB >> 15020447

Influence of dominance, leptokurtosis and pleiotropy of deleterious mutations on quantitative genetic variation at mutation-selection balance.

Xu-Sheng Zhang1, Jinliang Wang, William G Hill.   

Abstract

In models of maintenance of genetic variance (V (G)) it has often been assumed that mutant alleles act additively. However, experimental data show that the dominance coefficient varies among mutant alleles and those of large effect tend to be recessive. On the basis of empirical knowledge of mutations, a joint-effect model of pleiotropic and real stabilizing selection that includes dominance is constructed and analyzed. It is shown that dominance can dramatically alter the prediction of equilibrium V (G). Analysis indicates that for the situations where mutations are more recessive for fitness than for a quantitative trait, as supported by the available data, the joint-effect model predicts a significantly higher V (G) than does an additive model. Importantly, for what seem to be realistic distributions of mutational effects (i.e., many mutants may not affect the quantitative trait substantially but are likely to affect fitness), the observed high levels of genetic variation in the quantitative trait under strong apparent stabilizing selection can be generated. This investigation supports the hypothesis that most V (G) comes from the alleles nearly neutral for fitness in heterozygotes while apparent stabilizing selection is contributed mainly by the alleles of large effect on the quantitative trait. Thus considerations of dominance coefficients of mutations lend further support to our previous conclusion that mutation-selection balance is a plausible mechanism of the maintenance of the genetic variance in natural populations.

Mesh:

Year:  2004        PMID: 15020447      PMCID: PMC1470700          DOI: 10.1534/genetics.166.1.597

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  39 in total

Review 1.  Terumi Mukai and the riddle of deleterious mutation rates.

Authors:  P D Keightley; A Eyre-Walker
Journal:  Genetics       Date:  1999-10       Impact factor: 4.562

2.  Mutation-selection balance, dominance and the maintenance of sex.

Authors:  J R Chasnov
Journal:  Genetics       Date:  2000-11       Impact factor: 4.562

3.  The fitness effects of spontaneous mutations in Caenorhabditis elegans.

Authors:  L L Vassilieva; A M Hook; M Lynch
Journal:  Evolution       Date:  2000-08       Impact factor: 3.694

4.  Deleterious mutations, apparent stabilizing selection and the maintenance of quantitative variation.

Authors:  A S Kondrashov; M Turelli
Journal:  Genetics       Date:  1992-10       Impact factor: 4.562

5.  Our load of mutations.

Authors:  H J MULLER
Journal:  Am J Hum Genet       Date:  1950-06       Impact factor: 11.025

6.  Bottleneck effect on genetic variance. A theoretical investigation of the role of dominance.

Authors:  J Wang; A Caballero; P D Keightley; W G Hill
Journal:  Genetics       Date:  1998-09       Impact factor: 4.562

Review 7.  A metabolic basis for dominance and recessivity.

Authors:  P D Keightley
Journal:  Genetics       Date:  1996-06       Impact factor: 4.562

8.  Effects of single P-element insertions on bristle number and viability in Drosophila melanogaster.

Authors:  R F Lyman; F Lawrence; S V Nuzhdin; T F Mackay
Journal:  Genetics       Date:  1996-05       Impact factor: 4.562

9.  The genetic structure of natural populations of Drosophila melanogaster. 3. Dominance effect of spontaneous mutant polygenes controlling viability in heterozygous genetic backgrounds.

Authors:  T Mukai; S Chigusa; I Yoshikawa
Journal:  Genetics       Date:  1965-09       Impact factor: 4.562

10.  The distribution of mutation effects on viability in Drosophila melanogaster.

Authors:  P D Keightley
Journal:  Genetics       Date:  1994-12       Impact factor: 4.562

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  17 in total

1.  Redistribution of gene frequency and changes of genetic variation following a bottleneck in population size.

Authors:  Xu-Sheng Zhang; Jinliang Wang; William G Hill
Journal:  Genetics       Date:  2004-07       Impact factor: 4.562

2.  Predictions of patterns of response to artificial selection in lines derived from natural populations.

Authors:  Xu-Sheng Zhang; William G Hill
Journal:  Genetics       Date:  2005-01       Impact factor: 4.562

3.  Analysis of the estimators of the average coefficient of dominance of deleterious mutations.

Authors:  B Fernández; A García-Dorado; A Caballero
Journal:  Genetics       Date:  2004-10       Impact factor: 4.562

4.  Gene action of new mutations in Arabidopsis thaliana.

Authors:  Ruth G Shaw; Shu-Mei Chang
Journal:  Genetics       Date:  2005-12-15       Impact factor: 4.562

Review 5.  Theoretical models of selection and mutation on quantitative traits.

Authors:  Toby Johnson; Nick Barton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

6.  The effect of antagonistic pleiotropy on the estimation of the average coefficient of dominance of deleterious mutations.

Authors:  B Fernández; A García-Dorado; A Caballero
Journal:  Genetics       Date:  2005-08-22       Impact factor: 4.562

7.  Testing the rare-alleles model of quantitative variation by artificial selection.

Authors:  John K Kelly
Journal:  Genetica       Date:  2007-07-03       Impact factor: 1.082

8.  Shifting paradigm of association studies: value of rare single-nucleotide polymorphisms.

Authors:  Ivan P Gorlov; Olga Y Gorlova; Shamil R Sunyaev; Margaret R Spitz; Christopher I Amos
Journal:  Am J Hum Genet       Date:  2008-01       Impact factor: 11.025

9.  Within-generation mutation variance for litter size in inbred mice.

Authors:  Joaquim Casellas; Juan F Medrano
Journal:  Genetics       Date:  2008-07-27       Impact factor: 4.562

10.  Increase in quantitative variation after exposure to environmental stresses and/or introduction of a major mutation: G x E interaction and epistasis or canalization?

Authors:  Xu-Sheng Zhang
Journal:  Genetics       Date:  2008-08-24       Impact factor: 4.562

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