Literature DB >> 8978079

Selection response in finite populations.

M Wei1, A Caballero, W G Hill.   

Abstract

Formulae were derived to predict genetic response under various selection schemes assuming an infinitesimal model. Account was taken of genetic drift, gametic (linkage) disequilibrium (Bulmer effect), inbreeding depression, common environmental variance, and both initial segregating variance within families (sigma AW02) and mutational (sigma M2) variance. The cumulative response to selection until generation t(CRt) can be approximated as [equation: see text] where Ne is the effective population size, sigma AW infinity 2 = Ne sigma M2 is the genetic variance within families at the steady state (or one-half the genic variance, which is unaffected by selection), and D is the inbreeding depression per unit of inbreeding. R0 is the selection response at generation 0 assuming preselection so that the linkage disequilibrium effect has stabilized. beta is the derivative of the logarithm of the asymptotic response with respect to the logarithm of the within-family genetic variance, i.e., their relative rate of change. R0 is the major determinant of the short term selection response, but sigma Me2 Ne and beta are also important for the long term. A selection method of high accuracy using family information gives a small Ne and will lead to a larger response in the short term and a smaller response in the long term, utilizing mutation less efficiently.

Entities:  

Mesh:

Year:  1996        PMID: 8978079      PMCID: PMC1207743     

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


  31 in total

1.  Detection of high incidence of K-ras oncogenes during human colon tumorigenesis.

Authors:  K Forrester; C Almoguera; K Han; W E Grizzle; M Perucho
Journal:  Nature       Date:  1987 May 28-Jun 3       Impact factor: 49.962

2.  Analysis of genetic variability and mapping of point mutations in influenza virus by the RNase A mismatch cleavage method.

Authors:  C Lopez-Galindez; J A Lopez; J A Melero; L de la Fuente; C Martinez; J Ortin; M Perucho
Journal:  Proc Natl Acad Sci U S A       Date:  1988-05       Impact factor: 11.205

3.  Prediction of rates of inbreeding in selected populations.

Authors:  N R Wray; R Thompson
Journal:  Genet Res       Date:  1990-02       Impact factor: 1.588

4.  Pathological fractures in patients who have amyloidosis associated with dialysis. A report of five cases.

Authors:  J M Campistol; M Solé; J Muñoz-Gómez; J Riba; R Ramón; L Revert
Journal:  J Bone Joint Surg Am       Date:  1990-04       Impact factor: 5.284

5.  Evolution and maintenance of quantitative genetic variation by mutations.

Authors:  C C Cockerham; H Tachida
Journal:  Proc Natl Acad Sci U S A       Date:  1987-09       Impact factor: 11.205

6.  Directional selection and variation in finite populations.

Authors:  P D Keightley; W G Hill
Journal:  Genetics       Date:  1987-11       Impact factor: 4.562

7.  Selection on individual phenotype and best linear unbiased predictor of breeding value in a closed swine herd.

Authors:  G M Belonsky; B W Kennedy
Journal:  J Anim Sci       Date:  1988-05       Impact factor: 3.159

8.  Detection of single base substitutions by ribonuclease cleavage at mismatches in RNA:DNA duplexes.

Authors:  R M Myers; Z Larin; T Maniatis
Journal:  Science       Date:  1985-12-13       Impact factor: 47.728

9.  Characterization of cucumber mosaic virus. I. Molecular heterogeneity mapping of RNA 3 in eight CMV strains.

Authors:  J Owen; P Palukaitis
Journal:  Virology       Date:  1988-10       Impact factor: 3.616

10.  A method to detect and characterize point mutations in transcribed genes: amplification and overexpression of the mutant c-Ki-ras allele in human tumor cells.

Authors:  E Winter; F Yamamoto; C Almoguera; M Perucho
Journal:  Proc Natl Acad Sci U S A       Date:  1985-11       Impact factor: 11.205

View more
  15 in total

1.  Prediction of rates of inbreeding in populations selected on best linear unbiased prediction of breeding value

Authors: 
Journal:  Genetics       Date:  2000-09       Impact factor: 4.562

2.  Prediction of rates of inbreeding in populations selected on best linear unbiased prediction of breeding value.

Authors:  P Bijma; J A Woolliams
Journal:  Genetics       Date:  2000-09       Impact factor: 4.562

3.  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

4.  Estimating relatedness between individuals in general populations with a focus on their use in conservation programs.

Authors:  Pieter A Oliehoek; Jack J Windig; Johan A M van Arendonk; Piter Bijma
Journal:  Genetics       Date:  2006-03-01       Impact factor: 4.562

5.  A molecular selection index method based on eigenanalysis.

Authors:  J Jesús Cerón-Rojas; Fernando Castillo-González; Jaime Sahagún-Castellanos; Amalio Santacruz-Varela; Ignacio Benítez-Riquelme; José Crossa
Journal:  Genetics       Date:  2008-08-20       Impact factor: 4.562

6.  Genetic components of variation in Nemophila menziesii undergoing inbreeding: morphology and flowering time.

Authors:  R G Shaw; D L Byers; F H Shaw
Journal:  Genetics       Date:  1998-12       Impact factor: 4.562

7.  The Impact of Genomic and Traditional Selection on the Contribution of Mutational Variance to Long-Term Selection Response and Genetic Variance.

Authors:  Herman A Mulder; Sang Hong Lee; Sam Clark; Ben J Hayes; Julius H J van der Werf
Journal:  Genetics       Date:  2019-08-20       Impact factor: 4.562

8.  Artificial selection and maintenance of genetic variance in the global dairy cow population.

Authors:  S Brotherstone; M Goddard
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

9.  Latitudinal trait variation and responses to drought in Arabidopsis lyrata.

Authors:  Antoine Paccard; Alexandre Fruleux; Yvonne Willi
Journal:  Oecologia       Date:  2014-04-06       Impact factor: 3.225

10.  Short-term effects of controlled mating and selection on the genetic variance of honeybee populations.

Authors:  Manuel Du; Richard Bernstein; Andreas Hoppe; Kaspar Bienefeld
Journal:  Heredity (Edinb)       Date:  2021-03-30       Impact factor: 3.821

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.