Kelly John K
Department of Biology, University of Oregon, Eugene, Oregon, 97403.
Evolution. 1999 Apr;53(2):336-349. doi: 10.1111/j.1558-5646.1999.tb03770.x.
Self-fertilization is a common form of reproduction in plants and it has important implications for quantitative trait evolution. Here, I present a model of selection on quantitative traits that can accommodate any level of self-fertilization. The "structured linear model" (SLM) predicts the evolution of the mean phenotype as a function of three distinct quantities: the mean additive genetic value, the directional dominance, and the mean inbreeding coefficient. Stochastic simulations of truncation selection demonstrate the accuracy of the SLM in predicting changes in the mean and variance of a quantitative trait over the full range of selfing rates. They also illustrate how complex interactions between selection and mating system determine the population distribution of inbreeding coefficients and also the amount of linkage disequilibrium. Changes in the genetic variance due to linkage disequilibria, which are commonly referred to as the "Bulmer effect," are greatly magnified by selfing. This complicates the relationship between selfing rate and response to selection. Like the random mating theory, the parameters of the SLM can be estimated from phenotypic data.
自体受精是植物中一种常见的繁殖方式，对数量性状进化具有重要意义。在此，我提出了一个关于数量性状选择的模型，该模型可以适应任何水平的自体受精。“结构化线性模型”（SLM）将平均表型的进化预测为三个不同量的函数：平均加性遗传值、定向显性和平均近交系数。截断选择的随机模拟证明了SLM在预测自交率全范围内数量性状的均值和方差变化方面的准确性。它们还说明了选择与交配系统之间的复杂相互作用如何决定近交系数的群体分布以及连锁不平衡的程度。由于连锁不平衡导致的遗传方差变化，通常被称为“布尔默效应”，通过自交被大大放大。这使得自交率与选择响应之间的关系变得复杂。与随机交配理论一样，SLM的参数可以从表型数据中估计出来。
