A novel analytical framework to quantify co-gradient and countergradient variation,Ecology Letters

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A novel analytical framework to quantify co-gradient and countergradient variation
Ecology Letters ( IF 7.6 ) Pub Date : 2022-05-11 , DOI: 10.1111/ele.14020
Molly A Albecker ₁ , Geoffrey C Trussell ₁ , Katie E Lotterhos ₁

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Spatial covariance between genotypic and environmental influences on phenotypes (Cov_GE) can result in the nonrandom distribution of genotypes across environmental gradients and is a potentially important factor driving local adaptation. However, a framework to quantify the magnitude and significance of Cov_GE has been lacking. We develop a novel quantitative/analytical approach to estimate and test the significance of Cov_GE from reciprocal transplant or common garden experiments, which we validate using simulated data. We demonstrate how power to detect Cov_GE changes over a range of experimental designs. We confirm an inverse relationship between gene-by-environment interactions (GxE) and Cov_GE, as predicted by first principles, but show how phenotypes can be influenced by both. The metric provides a way to measure how phenotypic plasticity covaries with genetic differentiation and highlights the importance of understanding the dual influences of Cov_GE and GxE on phenotypes in studies of local adaptation and species’ responses to environmental change.

中文翻译：

一种量化共梯度和反梯度变化的新分析框架

基因型和环境对表型的影响（Cov _GE）之间的空间协方差可导致基因型在环境梯度上的非随机分布，并且是推动局部适应的潜在重要因素。然而，一直缺乏量化 Cov _GE的规模和重要性的框架。我们开发了一种新的定量/分析方法来估计和测试 Cov _GE从相互移植或普通花园实验中的重要性，我们使用模拟数据对其进行验证。我们展示了检测 Cov _GE的能力如何在一系列实验设计中发生变化。_{我们证实了基因与环境的相互作用 (GxE) 和 Cov GE}之间的反比关系，正如第一原理所预测的那样，但显示表型如何受到两者的影响。该指标提供了一种衡量表型可塑性如何与遗传分化共变的方法，并强调了了解 Cov _GE和 GxE 在研究局部适应和物种对环境变化的反应中对表型的双重影响的重要性。

更新日期：2022-05-11

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