Literature DB >> 24299403

Why epistasis is important for selection and adaptation.

Thomas F Hansen1.   

Abstract

Organisms are built from thousands of genes that interact in complex ways. Still, the mathematical theory of evolution is dominated by a gene-by-gene perspective in which genes are assumed to have the same effects regardless of genetic background. Gene interaction, or epistasis, plays a role in some theoretical developments such as the evolution of recombination, reproductive isolation, and canalization, but is strikingly missing from our standard accounts of phenotypic adaptation. This absence is most puzzling within the field of quantitative genetics, which, despite its polygenic perspective and elaborate statistical representation of epistasis, has not found a single important role for gene interaction in evolution. To the contrary, there is a widespread consensus that epistasis is evolutionary inert, and that all we need to know to predict evolutionary dynamics is the additive component of the genetic variance. This view may have roots in convenience, but also in theoretical results showing that the response to selection derived from epistatic variance components is not permanent and will decay when selection is relaxed. I show that these results are tied to a conceptual confusion, and are misleading as general statements about the significance of epistasis for the selection response and adaptation.
© 2013 The Author(s). Evolution © 2013 The Society for the Study of Evolution.

Keywords:  Gene interaction; genotype-phenotype map; quantitative genetics; selection response

Mesh:

Year:  2013        PMID: 24299403     DOI: 10.1111/evo.12214

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  44 in total

1.  The evolutionary genetics of the genes underlying phenotypic associations for loblolly pine (Pinus taeda, Pinaceae).

Authors:  Andrew J Eckert; Jill L Wegrzyn; John D Liechty; Jennifer M Lee; W Patrick Cumbie; John M Davis; Barry Goldfarb; Carol A Loopstra; Sreenath R Palle; Tania Quesada; Charles H Langley; David B Neale
Journal:  Genetics       Date:  2013-10-11       Impact factor: 4.562

2.  Biased estimates of diminishing-returns epistasis? Empirical evidence revisited.

Authors:  David Berger; Erik Postma
Journal:  Genetics       Date:  2014-10-13       Impact factor: 4.562

3.  Influence of gene interaction on complex trait variation with multilocus models.

Authors:  Asko Mäki-Tanila; William G Hill
Journal:  Genetics       Date:  2014-07-01       Impact factor: 4.562

4.  Genetic structure of phenotypic robustness in the collaborative cross mouse diallel panel.

Authors:  P N Gonzalez; M Pavlicev; P Mitteroecker; F Pardo-Manuel de Villena; R A Spritz; R S Marcucio; B Hallgrímsson
Journal:  J Evol Biol       Date:  2016-07-08       Impact factor: 2.411

Review 5.  Cryptic genetic variation: evolution's hidden substrate.

Authors:  Annalise B Paaby; Matthew V Rockman
Journal:  Nat Rev Genet       Date:  2014-03-11       Impact factor: 53.242

6.  Weak Epistasis May Drive Adaptation in Recombining Bacteria.

Authors:  Brian J Arnold; Michael U Gutmann; Yonatan H Grad; Samuel K Sheppard; Jukka Corander; Marc Lipsitch; William P Hanage
Journal:  Genetics       Date:  2018-01-12       Impact factor: 4.562

7.  Directional selection effects on patterns of phenotypic (co)variation in wild populations.

Authors:  A P A Assis; J L Patton; A Hubbe; G Marroig
Journal:  Proc Biol Sci       Date:  2016-11-30       Impact factor: 5.349

8.  Runaway coevolution: adaptation to heritable and nonheritable environments.

Authors:  Devin M Drown; Michael J Wade
Journal:  Evolution       Date:  2014-07-09       Impact factor: 3.694

Review 9.  Higher-order genetic interactions and their contribution to complex traits.

Authors:  Matthew B Taylor; Ian M Ehrenreich
Journal:  Trends Genet       Date:  2014-10-02       Impact factor: 11.639

10.  Modularity: genes, development and evolution.

Authors:  Diogo Melo; Arthur Porto; James M Cheverud; Gabriel Marroig
Journal:  Annu Rev Ecol Evol Syst       Date:  2016-09-07       Impact factor: 13.915

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