Lande R
Genetics. 1981 Nov-Dec;99(3-4):541-53. doi: 10.1093/genetics/99.3-4.541.
A procedure is outlined for estimating the minimum number of freely segregating genetic factors, nE, contributing to the difference in a quantitative character between two populations that have diverged by artificial or natural selection. If certain simple criteria are satisfied approximately on an appropriate scale of measurement, nE can be estimated by comparing the phenotypic means and variances in the two parental populations and in their F1 and F2 hybrids (and backcrosses). This generalizes the method of Wright to genetically heterogeneous (or wild) parental populations, as well as inbred lines. Standard errors of the estimates are derived for large samples. The minimum number of genes involved in producing a large difference between populations in a quantitative trait is typically estimated to be about 5 or 10, with occasional values up to 20. This strongly supports the neo-Darwinian theory that large evolutionary changes usually occur by the accumulation of multiple genetic factors with relatively small effects.
本文概述了一种程序,用于估计导致两个经人工或自然选择而分化的群体在数量性状上存在差异的自由分离遗传因子的最小数量(n_E)。如果在适当的测量尺度上大致满足某些简单标准,则可以通过比较两个亲本群体及其(F_1)和(F_2)杂种(以及回交后代)的表型均值和方差来估计(n_E)。这将赖特的方法推广到了遗传异质(或野生)亲本群体以及近交系。针对大样本推导了估计值的标准误差。在数量性状上导致群体间产生较大差异所涉及的基因最小数量通常估计约为5或10,偶尔可达20。这有力地支持了新达尔文主义理论,即大的进化变化通常是由具有相对较小效应的多个遗传因子的积累而发生的。