Literature DB >> 17607507

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

John K Kelly1.   

Abstract

The rare-alleles model of quantitative variation posits that a common allele (the 'wild-type') and one or more rare alleles segregate at each locus affecting a quantitative trait; a scenario predicted by several distinct evolutionary hypotheses. Single locus arguments suggest that artificial selection should substantially increase the genetic variance (Vg) if the rare-alleles model is accurate. This paper tests the 'DeltaVg prediction' using a large artificial selection experiment on flower size of Mimulus guttatus. Vg for flower size does evolve, increasing with selection for larger flower while decreasing in the other direction. These data are consistent with a model in which flower size variation is caused by rare, partially dominant alleles. However, this explanation becomes increasingly tenuous when considered with other data (correlated responses to selection and the effects of inbreeding). A combination of modern (marker-based mapping) and classical (biometric) techniques will likely to be required to determine the distribution of allele frequencies at loci influencing quantitative traits.

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Year:  2007        PMID: 17607507      PMCID: PMC2682333          DOI: 10.1007/s10709-007-9163-4

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  36 in total

1.  An experimental method for evaluating the contribution of deleterious mutations to quantitative trait variation.

Authors:  J K Kelly
Journal:  Genet Res       Date:  1999-06       Impact factor: 1.588

2.  Deleterious mutations and genetic variation for flower size in Mimulus guttatus.

Authors:  J K Kelly; J H Willis
Journal:  Evolution       Date:  2001-05       Impact factor: 3.694

3.  Non-linear selection response in Drosophila: a strategy for testing the rare-alleles model of quantitative genetic variability.

Authors:  J W Curtsinger; R Ming
Journal:  Genetica       Date:  1997       Impact factor: 1.082

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.  The effect of selection on genetic variability: a simulation study.

Authors:  M G Bulmer
Journal:  Genet Res       Date:  1976-10       Impact factor: 1.588

6.  Quantitative trait loci differentiating the outbreeding Mimulus guttatus from the inbreeding M. platycalyx.

Authors:  J Z Lin; K Ritland
Journal:  Genetics       Date:  1997-07       Impact factor: 4.562

7.  The founder effect and response to artificial selection.

Authors:  J W James
Journal:  Genet Res       Date:  1970-12       Impact factor: 1.588

8.  A stochastic model concerning the maintenance of genetic variability in quantitative characters.

Authors:  M Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  1965-09       Impact factor: 11.205

9.  Effect of short term directional selection on genetic variability: experiments with Drosophila melanogaster.

Authors:  D A Sorensen; W G Hill
Journal:  Heredity (Edinb)       Date:  1982-02       Impact factor: 3.821

10.  The effect of linkage on limits to artificial selection.

Authors:  W G Hill; A Robertson
Journal:  Genet Res       Date:  1966-12       Impact factor: 1.588

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  15 in total

1.  The genetic correlation between flower size and water use efficiency in monkeyflowers.

Authors:  John K Kelly; Liza M Holeski; H S Arathi
Journal:  Evol Ecol Res       Date:  2008-01-01

2.  Viability selection prior to trait expression is an essential component of natural selection.

Authors:  Julius P Mojica; John K Kelly
Journal:  Proc Biol Sci       Date:  2010-05-12       Impact factor: 5.349

Review 3.  Mutation and the evolution of ageing: from biometrics to system genetics.

Authors:  Kimberly A Hughes
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

4.  Rapid evolution caused by pollinator loss in Mimulus guttatus.

Authors:  Sarah A Bodbyl Roels; John K Kelly
Journal:  Evolution       Date:  2011-09       Impact factor: 3.694

5.  Explaining the heritability of an ecologically significant trait in terms of individual quantitative trait loci.

Authors:  Alison G Scoville; Young Wha Lee; John H Willis; John K Kelly
Journal:  Biol Lett       Date:  2011-06-08       Impact factor: 3.703

6.  Interactions among flower-size QTL of Mimulus guttatus are abundant but highly variable in nature.

Authors:  John K Kelly; Julius P Mojica
Journal:  Genetics       Date:  2011-09-16       Impact factor: 4.562

7.  Evaluating the genetic architecture of quantitative traits via selection followed by inbreeding.

Authors:  Robert J Dugand; W Jason Kennington; Joseph L Tomkins
Journal:  Heredity (Edinb)       Date:  2019-04-09       Impact factor: 3.821

8.  Spatially and temporally varying selection on intrapopulation quantitative trait loci for a life history trade-off in Mimulus guttatus.

Authors:  Julius P Mojica; Young Wha Lee; John H Willis; John K Kelly
Journal:  Mol Ecol       Date:  2012-06-11       Impact factor: 6.185

9.  A Segregating Inversion Generates Fitness Variation in Yellow Monkeyflower (Mimulus guttatus).

Authors:  Young Wha Lee; Lila Fishman; John K Kelly; John H Willis
Journal:  Genetics       Date:  2016-02-11       Impact factor: 4.562

10.  Connecting QTLS to the g-matrix of evolutionary quantitative genetics.

Authors:  John K Kelly
Journal:  Evolution       Date:  2008-12-12       Impact factor: 3.694

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