Literature DB >> 18368117

Pleiotropic scaling of gene effects and the 'cost of complexity'.

Günter P Wagner1, Jane P Kenney-Hunt, Mihaela Pavlicev, Joel R Peck, David Waxman, James M Cheverud.   

Abstract

As perceived by Darwin, evolutionary adaptation by the processes of mutation and selection is difficult to understand for complex features that are the product of numerous traits acting in concert, for example the eye or the apparatus of flight. Typically, mutations simultaneously affect multiple phenotypic characters. This phenomenon is known as pleiotropy. The impact of pleiotropy on evolution has for decades been the subject of formal analysis. Some authors have suggested that pleiotropy can impede evolutionary progress (a so-called 'cost of complexity'). The plausibility of various phenomena attributed to pleiotropy depends on how many traits are affected by each mutation and on our understanding of the correlation between the number of traits affected by each gene substitution and the size of mutational effects on individual traits. Here we show, by studying pleiotropy in mice with the use of quantitative trait loci (QTLs) affecting skeletal characters, that most QTLs affect a relatively small subset of traits and that a substitution at a QTL has an effect on each trait that increases with the total number of traits affected. This suggests that evolution of higher organisms does not suffer a 'cost of complexity' because most mutations affect few traits and the size of the effects does not decrease with pleiotropy.

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Year:  2008        PMID: 18368117     DOI: 10.1038/nature06756

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  85 in total

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Journal:  Genetics       Date:  2012-01-03       Impact factor: 4.562

2.  Bayesian mapping of multiple traits in maize: the importance of pleiotropic effects in studying the inheritance of quantitative traits.

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Review 3.  One hundred years of pleiotropy: a retrospective.

Authors:  Frank W Stearns
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Review 4.  Phenomics: the next challenge.

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Journal:  Nat Rev Genet       Date:  2010-12       Impact factor: 53.242

5.  The statistical mechanics of a polygenic character under stabilizing selection, mutation and drift.

Authors:  Harold P de Vladar; Nick H Barton
Journal:  J R Soc Interface       Date:  2010-11-17       Impact factor: 4.118

6.  Molecular evolution, mutation size and gene pleiotropy: a geometric reexamination.

Authors:  Pablo Razeto-Barry; Javier Díaz; Darko Cotoras; Rodrigo A Vásquez
Journal:  Genetics       Date:  2010-12-31       Impact factor: 4.562

7.  Genomic patterns of pleiotropy and the evolution of complexity.

Authors:  Zhi Wang; Ben-Yang Liao; Jianzhi Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-27       Impact factor: 11.205

8.  Synergistic Pleiotropy Overrides the Costs of Complexity in Viral Adaptation.

Authors:  Lindsey W McGee; Andrew M Sackman; Anneliese J Morrison; Jessica Pierce; Jeremy Anisman; Darin R Rokyta
Journal:  Genetics       Date:  2015-11-12       Impact factor: 4.562

9.  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

Review 10.  Informed consent in genomics and genetic research.

Authors:  Amy L McGuire; Laura M Beskow
Journal:  Annu Rev Genomics Hum Genet       Date:  2010       Impact factor: 8.929

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