Variation in reaction norms: Statistical considerations and biological interpretation

Analysis of reaction norms, the functions by which the phenotype produced by a given genotype depends on the environment, is critical to studying many aspects of phenotypic evolution. Different techniques are available for quantifying different aspects of reaction norm variation. We examine what bio...

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Bibliographic Details
Published inEvolution Vol. 70; no. 9; pp. 1944 - 1959
Main Authors Morrissey, Michael B., Liefting, Maartje
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.09.2016
Society for the Study of Evolution
Oxford University Press
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ISSN0014-3820
1558-5646
DOI10.1111/evo.13003

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Summary:Analysis of reaction norms, the functions by which the phenotype produced by a given genotype depends on the environment, is critical to studying many aspects of phenotypic evolution. Different techniques are available for quantifying different aspects of reaction norm variation. We examine what biological inferences can be drawn from some of the more readily applicable analyses for studying reaction norms. We adopt a strongly biologically motivated view, but draw on statistical theory to highlight strengths and drawbacks of different techniques. In particular, consideration of some formal statistical theory leads to revision of some recently, and forcefully, advocated opinions on reaction norm analysis. We clarify what simple analysis of the slope between mean phenotype in two environments can tell us about reaction norms, explore the conditions under which polynomial regression can provide robust inferences about reaction norm shape, and explore how different existing approaches may be used to draw inferences about variation in reaction norm shape. We show how mixed model-based approaches can provide more robust inferences than more commonly used multistep statistical approaches, and derive new metrics of the relative importance of variation in reaction norm intercepts, slopes, and curvatures.
Bibliography:ArticleID:EVO13003
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istex:6E659072D6AAE1AD6F4199E80929BE09C6D567C6
Royal Society
Netherlands Organisation for Scientific Research - No. 864.03.003
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ISSN:0014-3820
1558-5646
DOI:10.1111/evo.13003