Literature DB >> 8944163

Metabolic models of selection response.

P D Keightley1.   

Abstract

Consequences of directional selection on metabolic flux are explored in models for which variation in flux among individuals is generated by segregation of allelic variants at enzyme activity loci. The pattern of selection response is strongly affected by the presence of genetic dominance and epistasis, which are automatically generated in metabolic systems. The expected magnitudes of dominance and epistasis effects on flux are evaluated. Small differences in enzyme activity generate little dominance, but a null allele will tend to be recessive for the pathway in which it occurs and for metabolically distant pathways. Epistasis is found to be greatest in short pathways in which large differences in enzyme activity occur. Under divergent artificial selection asymmetrical responses can occur due to the presence of directional dominance and epistasis, and lead to departures from the classic infinitesimal model of quantitative genetic variation. The effects of epistasis and dominance are in opposite directions, however, and partially cancel each other out in a diploid population.

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Year:  1996        PMID: 8944163     DOI: 10.1006/jtbi.1996.0169

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  18 in total

1.  Fluxes and metabolic pools as model traits for quantitative genetics. I. The L-shaped distribution of gene effects.

Authors:  B Bost; C Dillmann; D de Vienne
Journal:  Genetics       Date:  1999-12       Impact factor: 4.562

2.  Metabolic control analysis as a mechanism that conserves genetic variance during advanced cycle breeding.

Authors:  J Yu; R Bernardo
Journal:  Theor Appl Genet       Date:  2004-02-12       Impact factor: 5.699

3.  Evolution of dominance in metabolic pathways.

Authors:  Homayoun C Bagheri; Günter P Wagner
Journal:  Genetics       Date:  2004-11       Impact factor: 4.562

4.  Inferences about the distribution of dominance drawn from yeast gene knockout data.

Authors:  Aneil F Agrawal; Michael C Whitlock
Journal:  Genetics       Date:  2010-11-23       Impact factor: 4.562

5.  Overview of QTL detection in plants and tests for synergistic epistatic interactions.

Authors:  Jean-Luc Jannink; Laurence Moreau; Gilles Charmet; Alain Charcosset
Journal:  Genetica       Date:  2008-08-10       Impact factor: 1.082

6.  The evolution of control and distribution of adaptive mutations in a metabolic pathway.

Authors:  Kevin M Wright; Mark D Rausher
Journal:  Genetics       Date:  2009-12-04       Impact factor: 4.562

7.  Dietary stress does not strengthen selection against single deleterious mutations in Drosophila melanogaster.

Authors:  K MacLellan; L Kwan; M C Whitlock; H D Rundle
Journal:  Heredity (Edinb)       Date:  2011-07-27       Impact factor: 3.821

8.  Dominance genetic variance for traits under directional selection in Drosophila serrata.

Authors:  Jacqueline L Sztepanacz; Mark W Blows
Journal:  Genetics       Date:  2015-03-16       Impact factor: 4.562

9.  Systemic properties of metabolic networks lead to an epistasis-based model for heterosis.

Authors:  Julie B Fiévet; Christine Dillmann; Dominique de Vienne
Journal:  Theor Appl Genet       Date:  2009-11-15       Impact factor: 5.699

10.  Standing variation and new mutations both contribute to a fast response to selection for flowering time in maize inbreds.

Authors:  Eléonore Durand; Maud I Tenaillon; Céline Ridel; Denis Coubriche; Philippe Jamin; Sophie Jouanne; Adrienne Ressayre; Alain Charcosset; Christine Dillmann
Journal:  BMC Evol Biol       Date:  2010-01-04       Impact factor: 3.260

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