Literature DB >> 11607322

Rate of evolution of a quantitative character.

T Nagylaki1.   

Abstract

The rate of change of the mean of a quantitative character is evaluated exactly and also under the hypothesis of linear biparental regression. Generations are discrete and nonoverlapping; the monoecious population mates at random. The genotypic and environmental contributions to the character are additive and stochastically independent. The character is influenced by arbitrarily many multiallelic loci and has constant genotypic values; dominance, epistasis, and the linkage map are also arbitrary. The population is initially in linkage equilibrium, and there is no position effect. If the biparental regression is linear, then the regression coefficient is simply Vgam/V, and hence the single-generation change in the mean is deltaZ = (Vgam/V)S, where Vgam and V denote the gametic and total variances in the character and S designates the selection differential. The corresponding exact result is DeltaZ = (C/W) + (B/W2), where C, W and B represent the gametic covariance of the character and fitness, the mean fitness, and a correction term, respectively. If selection is weak, then DeltaZ approximately C/W. Furthermore, deltaZ = C/W if either there is no environmental contribution and the gametic effects are additive or the character is fitness itself. In the latter case, C is the gametic variance in fitness. Thus, even in linkage equilibrium, weakness of selection generally does not suffice to validate the linear-regression result. This conclusion holds even for additive loci.

Entities:  

Year:  1992        PMID: 11607322      PMCID: PMC49868          DOI: 10.1073/pnas.89.17.8121

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  7 in total

1.  Natural and sexual selection on many loci.

Authors:  N H Barton; M Turelli
Journal:  Genetics       Date:  1991-01       Impact factor: 4.562

2.  Error bounds for the fundamental and secondary theorems of natural selection.

Authors:  T Nagylaki
Journal:  Proc Natl Acad Sci U S A       Date:  1991-03-15       Impact factor: 11.205

3.  Rate of evolution of a character without epistasis.

Authors:  T Nagylaki
Journal:  Proc Natl Acad Sci U S A       Date:  1989-03       Impact factor: 11.205

4.  Second-order approximations for selection coefficients at polygenic loci.

Authors:  A Hastings
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

5.  The evolution of one- and two-locus systems.

Authors:  T Nagylaki
Journal:  Genetics       Date:  1976-07       Impact factor: 4.562

Review 6.  Evolutionary quantitative genetics: how little do we know?

Authors:  N H Barton; M Turelli
Journal:  Annu Rev Genet       Date:  1989       Impact factor: 16.830

7.  Effect of overall phenotypic selection on genetic change at individual loci.

Authors:  M Kimura; J F Crow
Journal:  Proc Natl Acad Sci U S A       Date:  1978-12       Impact factor: 11.205

  7 in total
  2 in total

1.  A finite locus effect diffusion model for the evolution of a quantitative trait.

Authors:  J R Miller; M C Pugh; M B Hamilton
Journal:  J Math Biol       Date:  2006-02-07       Impact factor: 2.259

2.  An alternative to the breeder's and Lande's equations.

Authors:  Bahram Houchmandzadeh
Journal:  G3 (Bethesda)       Date:  2014-01-10       Impact factor: 3.154

  2 in total

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