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DOI	10.1038/s41559-022-01694-2
	Decomposing phenotypic skew and its effects on the predicted response to strong selection
	Pick J.L.; Lemon H.E.; Thomson C.E.; Hadfield J.D.
发表日期	2022
ISSN	2397-334X
英文摘要	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.
语种	英语
来源期刊	Nature Ecology & Evolution
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/257201
作者单位	Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom; Centre of Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, Norway
推荐引用方式 GB/T 7714	Pick J.L.,Lemon H.E.,Thomson C.E.,et al. Decomposing phenotypic skew and its effects on the predicted response to strong selection[J],2022.
APA	Pick J.L.,Lemon H.E.,Thomson C.E.,&Hadfield J.D..(2022).Decomposing phenotypic skew and its effects on the predicted response to strong selection.Nature Ecology & Evolution.
MLA	Pick J.L.,et al."Decomposing phenotypic skew and its effects on the predicted response to strong selection".Nature Ecology & Evolution (2022).