García-Dorado A, Marín J M
Departamento de Genética, Facultad de Biología, Universidad Complutense, Madrid, Spain.
Biometrics. 1998 Sep;54(3):1097-114.
Individual spontaneous mutations affecting the expression of quantitative traits cannot be systematically identified and, therefore, their effect on the trait cannot be measured. Thus, the rate of occurrence of such mutations and the moments of the probability distribution of the corresponding effects, which are important in evolutionary studies, remain unknown. Here we propose a method to estimate those mutational properties from the observed distribution of the trait mean in a set of independent inbred lines (all derived from the same homozygous base population) in which mutations had been allowed to accumulate randomly. It is based on the use of the well-known minimum distance method, i.e., on the minimization of a distance between the observed distribution and that expected on the basis of a genetic model. We analyze data for three morphological traits (wing length and abdominal and sternopleural bristle number) in Drosophila melanogaster. The method appears to be powerful, giving evolutionary coherent estimates of relevant mutational properties that had not been estimated previously. For all traits, mutational rates were low (smaller than 0.05). Most mutations affecting wing length or abdominal bristle number and negative effect, while almost half of those affecting sternopleural bristle number had positive effect. For each trait, results obtained from data on different generations are in qualitative agreement, although mutational effects seem to depend on generation-specific environmental factors. The method detected between-trait differences in the kurtosis coefficient of the distribution of mutational effects, which varied from values close to that of the normal distribution (wing length) to relatively high values (sternopleural bristle number). It reveals that an important proportion of the mutational input variance of each trait is due to mutations with absolute effect smaller than 0.5 environmental standard deviation units. For morphological traits undergoing weak direct selection, this suggests that large amounts of genetic variance due to genes segregating at intermediate frequencies can be present at the equilibrium.
影响数量性状表达的个体自发突变无法被系统地识别,因此,它们对性状的影响也无法被测量。所以,此类突变的发生率以及相应效应的概率分布矩,虽然在进化研究中很重要,但仍然未知。在此,我们提出一种方法,可根据一组独立近交系(均源自同一个纯合基础种群)中观察到的性状均值分布来估计这些突变特性,在这些近交系中,突变已随机积累。该方法基于著名的最小距离法,即最小化观察到的分布与基于遗传模型预期的分布之间的距离。我们分析了黑腹果蝇三个形态性状(翅长、腹部刚毛数和胸部侧板刚毛数)的数据。该方法似乎很有效,能给出此前未被估计过的相关突变特性的、与进化相符的估计值。对于所有性状,突变率都很低(小于0.05)。影响翅长或腹部刚毛数的大多数突变具有负面影响,而影响胸部侧板刚毛数的突变中,几乎一半具有正面影响。对于每个性状,从不同世代数据获得的结果在定性上是一致的,尽管突变效应似乎取决于特定世代的环境因素。该方法检测到突变效应分布的峰度系数在性状间存在差异,其范围从接近正态分布的值(翅长)到相对较高的值(胸部侧板刚毛数)。结果表明,每个性状的突变输入方差的很大一部分是由绝对效应小于0.5个环境标准差单位的突变引起的。对于经历弱直接选择的形态性状,这表明在平衡状态下可能存在大量由中等频率分离的基因导致的遗传方差。