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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Published in | Evolution Vol. 70; no. 9; pp. 1944 - 1959 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
United States
Blackwell Publishing Ltd
01.09.2016
Society for the Study of Evolution Oxford University Press |
Subjects | |
Online Access | Get full text |
ISSN | 0014-3820 1558-5646 |
DOI | 10.1111/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. |
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Bibliography: | ArticleID:EVO13003 ark:/67375/WNG-4S2VR463-9 istex:6E659072D6AAE1AD6F4199E80929BE09C6D567C6 Royal Society Netherlands Organisation for Scientific Research - No. 864.03.003 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0014-3820 1558-5646 |
DOI: | 10.1111/evo.13003 |