Izem Rima, Kingsolver Joel G
Department of Statistics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
Am Nat. 2005 Aug;166(2):277-89. doi: 10.1086/431314. Epub 2005 May 26.
Thermal performance curves are an example of continuous reaction norm curves of common shape. Three modes of variation in these curves--vertical shift, horizontal shift, and generalist-specialist trade-offs--are of special interest to evolutionary biologists. Since two of these modes are nonlinear, traditional methods such as principal components analysis fail to decompose the variation into biological modes and to quantify the variation associated with each mode. Here we present the results of a new method, template mode of variation (TMV), that decomposes the variation into predetermined modes of variation for a particular set of thermal performance curves. We illustrate the method using data on thermal sensitivity of growth rate in Pieris rapae caterpillars. The TMV model explains 67% of the variation in thermal performance curves among families; generalist-specialist trade-offs account for 38% of the total between-family variation. The TMV method implemented here is applicable to both differences in mean and patterns of variation, and it can be used with either phenotypic or quantitative genetic data for thermal performance curves or other continuous reaction norms that have a template shape with a single maximum. The TMV approach may also apply to growth trajectories, age-specific life-history traits, and other function-valued traits.
热性能曲线是常见形状的连续反应规范曲线的一个例子。这些曲线的三种变化模式——垂直移动、水平移动和泛化-特化权衡——是进化生物学家特别感兴趣的。由于其中两种模式是非线性的,诸如主成分分析等传统方法无法将变化分解为生物学模式,也无法量化与每种模式相关的变化。在这里,我们展示了一种新方法——变化模板模式(TMV)——的结果,该方法将变化分解为特定热性能曲线集的预定变化模式。我们使用菜粉蝶幼虫生长速率的热敏感性数据来说明该方法。TMV模型解释了各家族间热性能曲线变化的67%;泛化-特化权衡占家族间总变化的38%。这里实施的TMV方法适用于均值差异和变化模式,并且它可以与热性能曲线或其他具有单一最大值模板形状的连续反应规范的表型或数量遗传数据一起使用。TMV方法也可能适用于生长轨迹、特定年龄的生活史特征以及其他功能值性状。