Literature DB >> 35422480

Decomposing phenotypic skew and its effects on the predicted response to strong selection.

Joel L Pick1,2, Hannah E Lemon3, Caroline E Thomson3, Jarrod D Hadfield3.   

Abstract

The major frameworks for predicting evolutionary change assume that a phenotype's underlying genetic and environmental components are normally distributed. However, the predictions of these frameworks may no longer hold if distributions are skewed. Despite this, phenotypic skew has never been decomposed, meaning the fundamental assumptions of quantitative genetics remain untested. Here we demonstrate that the substantial phenotypic skew in the body size of juvenile blue tits (Cyanistes caeruleus) is driven by environmental factors. Although skew had little impact on our predictions of selection response in this case, our results highlight the impact of skew on the estimation of inheritance and selection. Specifically, the nonlinear parent-offspring regressions induced by skew, alongside selective disappearance, can strongly bias estimates of heritability. The ubiquity of skew and strong directional selection on juvenile body size imply that heritability is commonly overestimated, which may in part explain the discrepancy between predicted and observed trait evolution.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35422480     DOI: 10.1038/s41559-022-01694-2

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   19.100


  44 in total

1.  An exact form of the breeder's equation for the evolution of a quantitative trait under natural selection.

Authors:  John S Heywood
Journal:  Evolution       Date:  2005-11       Impact factor: 3.694

2.  Unification of regression-based methods for the analysis of natural selection.

Authors:  Michael B Morrissey; Krzysztof Sakrejda
Journal:  Evolution       Date:  2013-03-21       Impact factor: 3.694

3.  ESTIMATING THE FORM OF NATURAL SELECTION ON A QUANTITATIVE TRAIT.

Authors:  Dolph Schluter
Journal:  Evolution       Date:  1988-09       Impact factor: 3.694

4.  NATURAL SELECTION AND RANDOM GENETIC DRIFT IN PHENOTYPIC EVOLUTION.

Authors:  Russell Lande
Journal:  Evolution       Date:  1976-06       Impact factor: 3.694

5.  Genetic and statistical analyses of strong selection on polygenic traits: what, me normal?

Authors:  M Turelli; N H Barton
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

6.  Linearity Versus nonlinearity of offspring-parent regression: an experimental study of Drosophila melanogaster.

Authors:  A Gimelfarb; J H Willis
Journal:  Genetics       Date:  1994-10       Impact factor: 4.562

7.  Heritability: one word, three concepts.

Authors:  A Jacquard
Journal:  Biometrics       Date:  1983-06       Impact factor: 2.571

8.  The effects of stochastic and episodic movement of the optimum on the evolution of the G-matrix and the response of the trait mean to selection.

Authors:  Adam G Jones; R Bürger; S J Arnold; P A Hohenlohe; J C Uyeda
Journal:  J Evol Biol       Date:  2012-09-07       Impact factor: 2.411

9.  Asymmetric selection and the evolution of extraordinary defences.

Authors:  Mark C Urban; Reinhard Bürger; Daniel I Bolnick
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

10.  Selection on skewed characters and the paradox of stasis.

Authors:  Suzanne Bonamour; Céline Teplitsky; Anne Charmantier; Pierre-André Crochet; Luis-Miguel Chevin
Journal:  Evolution       Date:  2017-10-25       Impact factor: 3.694

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