Literature DB >> 24094343

Developmental instability is genetically correlated with phenotypic plasticity, constraining heritability, and fitness.

Stephen J Tonsor1, Tarek W Elnaccash, Samuel M Scheiner.   

Abstract

Although adaptive plasticity would seem always to be favored by selection, it occurs less often than expected. This lack of ubiquity suggests that there must be trade-offs, costs, or limitations associated with plasticity. Yet, few costs have been found. We explore one type of limitation, a correlation between plasticity and developmental instability, and use quantitative genetic theory to show why one should expect a genetic correlation. We test that hypothesis using the Landsberg erecta × Cape Verde Islands recombinant inbred lines (RILs) of Arabidopsis thaliana. RILs were grown at four different nitrogen (N) supply levels that span the range of N availabilities previously documented in North American field populations. We found a significant multivariate relationship between the cross-environment trait plasticity and the within-environment, within-RIL developmental instability across 13 traits. This genetic covariation between plasticity and developmental instability has two costs. First, theory predicts diminished fitness for highly plastic lines under stabilizing selection, because their developmental instability and variance around the optimum phenotype will be greater compared to nonplastic genotypes. Second, empirically the most plastic traits exhibited heritabilities reduced by 57% on average compared to nonplastic traits. This demonstration of potential costs in inclusive fitness and heritability provoke a rethinking of the evolutionary role of plasticity.
© 2013 The Authors. Evolution published by Wiley Periodicals, Inc. on behalf of The Society for the Study of Evolution.

Entities:  

Keywords:  Evolvability; G matrix; gas exchange; gmax; nitrogen; resource limitation; selection gradient

Mesh:

Substances:

Year:  2013        PMID: 24094343     DOI: 10.1111/evo.12175

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


  24 in total

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Authors:  Herman A Mulder; William G Hill; Egbert F Knol
Journal:  Genetics       Date:  2015-01-27       Impact factor: 4.562

2.  Heritable Micro-environmental Variance Covaries with Fitness in an Outbred Population of Drosophila serrata.

Authors:  Jacqueline L Sztepanacz; Katrina McGuigan; Mark W Blows
Journal:  Genetics       Date:  2017-06-22       Impact factor: 4.562

Review 3.  Developmental mechanisms underlying variable, invariant and plastic phenotypes.

Authors:  Katie Abley; James C W Locke; H M Ottoline Leyser
Journal:  Ann Bot       Date:  2016-04-11       Impact factor: 4.357

4.  Extreme developmental instability associated with wing plasticity in pea aphids.

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Journal:  Proc Biol Sci       Date:  2020-10-21       Impact factor: 5.349

5.  Expanding the phenotypic plasticity paradigm to broader views of trait space and ecological function.

Authors:  Thomas J DeWitt
Journal:  Curr Zool       Date:  2016-08-03       Impact factor: 2.624

6.  Is behavioural plasticity consistent across different environmental gradients and through time?

Authors:  David J Mitchell; Peter A Biro
Journal:  Proc Biol Sci       Date:  2017-08-16       Impact factor: 5.349

7.  Multi-trait linear reaction norm model to describe the pattern of phenotypic expression of some economic traits in beef cattle across a range of environments.

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Journal:  J Appl Genet       Date:  2014-09-21       Impact factor: 3.240

Review 8.  Evolution of phenotypic plasticity in extreme environments.

Authors:  Luis-Miguel Chevin; Ary A Hoffmann
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-06-19       Impact factor: 6.237

9.  The ubiquity of phenotypic plasticity in plants: a synthesis.

Authors:  Kattia Palacio-López; Brian Beckage; Samuel Scheiner; Jane Molofsky
Journal:  Ecol Evol       Date:  2015-07-23       Impact factor: 2.912

10.  A practical guide and power analysis for GLMMs: detecting among treatment variation in random effects.

Authors:  Morgan P Kain; Ben M Bolker; Michael W McCoy
Journal:  PeerJ       Date:  2015-09-17       Impact factor: 2.984

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