Scheiner Samuel M, Callahan Hilary S
Department of Life Sciences, Arizona State University West, P.O. Box 37100, Phoenix, Arizona, 85069.
Department of Botany, University of Tennessee, Knoxville, Tennessee, 37996.
Evolution. 1999 Dec;53(6):1704-1713. doi: 10.1111/j.1558-5646.1999.tb04555.x.
To understand natural selection we need to integrate its measure across environments. We present a method for measuring phenotypic selection that combines the potential for both environmental variation and phenotypic plasticity. The method uses path analysis and a measure of selection that is analogous to selection on breeding values. For individuals growing in alternative environments, paths are created that represent potential changes in the environment. The probabilities for these changes are then multiplied by the path coefficients to calculate selection coefficients. Selection on plasticity is measured as the difference in selection within each environment. We illustrate these methods using data on selection in an experimental population of Arabidopsis thaliana. Individuals from 36 families were grown in one of four environments, a factorial combination of shaded/open and early/late shading. For final height of the inflorescence, there was positive selection in both the open and shaded environments and negative selection on plasticity of height. For bolting time, there was also positive selection in both environments, but no selection on plasticity. We show how to use this information to examine how selection would change with changes in environmental frequencies and their transition probabilities. These methods can be expanded to encompass continuous traits and continuous environments as well as other complexities of natural selection.
为了理解自然选择,我们需要整合其在不同环境中的度量。我们提出了一种测量表型选择的方法,该方法结合了环境变异和表型可塑性的潜力。该方法使用路径分析和一种类似于对育种值进行选择的选择度量。对于在不同环境中生长的个体,创建代表环境潜在变化的路径。然后将这些变化的概率乘以路径系数以计算选择系数。对可塑性的选择被测量为每个环境中选择的差异。我们使用拟南芥实验群体中的选择数据来说明这些方法。来自36个家系的个体在四种环境之一中生长,这是遮荫/开放和早/晚遮荫的析因组合。对于花序的最终高度,在开放和遮荫环境中都有正向选择,而对高度可塑性有负向选择。对于抽薹时间,在两种环境中也有正向选择,但对可塑性没有选择。我们展示了如何使用这些信息来研究选择如何随着环境频率及其转换概率的变化而变化。这些方法可以扩展到涵盖连续性状和连续环境以及自然选择的其他复杂性。