Literature DB >> 22214609

On the pleiotropic structure of the genotype-phenotype map and the evolvability of complex organisms.

William G Hill1, Xu-Sheng Zhang.   

Abstract

Analyses of effects of mutants on many traits have enabled estimates to be obtained of the magnitude of pleiotropy, and in reviews of such data others have concluded that the degree of pleiotropy is highly restricted, with implications on the evolvability of complex organisms. We show that these conclusions are highly dependent on statistical assumptions, for example significance levels. We analyze models with pleiotropic effects on all traits at all loci but by variable amounts, considering distributions of numbers of traits declared significant, overall pleiotropic effects, and extent of apparent modularity of effects. We demonstrate that these highly pleiotropic models can give results similar to those obtained in analyses of experimental data and that conclusions on limits to evolvability through pleiotropy are not robust.

Mesh:

Year:  2012        PMID: 22214609      PMCID: PMC3296247          DOI: 10.1534/genetics.111.135681

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


  9 in total

1.  Adaptation and the cost of complexity.

Authors:  H A Orr
Journal:  Evolution       Date:  2000-02       Impact factor: 3.694

2.  Specificity and stability in topology of protein networks.

Authors:  Sergei Maslov; Kim Sneppen
Journal:  Science       Date:  2002-05-03       Impact factor: 47.728

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

Authors:  Frank W Stearns
Journal:  Genetics       Date:  2010-11       Impact factor: 4.562

4.  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

5.  Modularity and community detection in bipartite networks.

Authors:  Michael J Barber
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2007-12-07

Review 6.  Analysis and implications of mutational variation.

Authors:  Peter D Keightley; Daniel L Halligan
Journal:  Genetica       Date:  2008-07-29       Impact factor: 1.082

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

Authors:  Günter P Wagner; Jane P Kenney-Hunt; Mihaela Pavlicev; Joel R Peck; David Waxman; James M Cheverud
Journal:  Nature       Date:  2008-03-27       Impact factor: 49.962

Review 8.  The pleiotropic structure of the genotype-phenotype map: the evolvability of complex organisms.

Authors:  Günter P Wagner; Jianzhi Zhang
Journal:  Nat Rev Genet       Date:  2011-03       Impact factor: 53.242

Review 9.  Mutations and quantitative genetic variation: lessons from Drosophila.

Authors:  Trudy F C Mackay
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

  9 in total
  35 in total

1.  Assessing pleiotropy and its evolutionary consequences: pleiotropy is not necessarily limited, nor need it hinder the evolution of complexity.

Authors:  William G Hill; Xu-Sheng Zhang
Journal:  Nat Rev Genet       Date:  2012-02-21       Impact factor: 53.242

2.  Extensive functional pleiotropy of REVOLUTA substantiated through forward genetics.

Authors:  Ilga Porth; Jaroslav Klápste; Athena D McKown; Jonathan La Mantia; Richard C Hamelin; Oleksandr Skyba; Faride Unda; Michael C Friedmann; Quentin C B Cronk; Jürgen Ehlting; Robert D Guy; Shawn D Mansfield; Yousry A El-Kassaby; Carl J Douglas
Journal:  Plant Physiol       Date:  2013-12-05       Impact factor: 8.340

3.  An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice.

Authors:  João Pl Castro; Michelle N Yancoskie; Campbell Rolian; Yingguang Frank Chan; Marta Marchini; Stefanie Belohlavy; Layla Hiramatsu; Marek Kučka; William H Beluch; Ronald Naumann; Isabella Skuplik; John Cobb; Nicholas H Barton
Journal:  Elife       Date:  2019-06-06       Impact factor: 8.140

4.  The many faces of pleiotropy.

Authors:  Annalise B Paaby; Matthew V Rockman
Journal:  Trends Genet       Date:  2012-11-07       Impact factor: 11.639

5.  Pleiotropy can be effectively estimated without counting phenotypes through the rank of a genotype-phenotype map.

Authors:  Xun Gu
Journal:  Genetics       Date:  2014-06-03       Impact factor: 4.562

6.  The ubiquity of pleiotropy in human disease.

Authors:  Kevin Chesmore; Jacquelaine Bartlett; Scott M Williams
Journal:  Hum Genet       Date:  2017-11-21       Impact factor: 4.132

Review 7.  Pleiotropy, constraint, and modularity in the evolution of life histories: insights from genomic analyses.

Authors:  Kimberly A Hughes; Jeff Leips
Journal:  Ann N Y Acad Sci       Date:  2016-12-09       Impact factor: 5.691

Review 8.  Molecular network analysis enhances understanding of the biology of mental disorders.

Authors:  Kay S Grennan; Chao Chen; Elliot S Gershon; Chunyu Liu
Journal:  Bioessays       Date:  2014-04-14       Impact factor: 4.345

Review 9.  Explaining additional genetic variation in complex traits.

Authors:  Matthew R Robinson; Naomi R Wray; Peter M Visscher
Journal:  Trends Genet       Date:  2014-03-11       Impact factor: 11.639

10.  Stability and response of polygenic traits to stabilizing selection and mutation.

Authors:  Harold P de Vladar; Nick Barton
Journal:  Genetics       Date:  2014-04-07       Impact factor: 4.562

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