Keightley P D
Institute of Cell, Animal and Population Biology, University of Edinburgh, Scotland.
Genetics. 1994 Dec;138(4):1315-22. doi: 10.1093/genetics/138.4.1315.
Parameters of continuous distributions of effects and rates of spontaneous mutation for relative viability in Drosophila are estimated by maximum likelihood from data of two published experiments on accumulation of mutations on protected second chromosomes. A model of equal mutant effects gives a poor fit to the data of the two experiments; higher likelihoods are obtained with leptokurtic distributions or for models in which there is more than one class of mutation effect. Minimum estimates of mutation rates (events per generation) at polygenes affecting viability on chromosome 2 are 0.14 and 0.068, but estimates are strongly confounded with other parameters in the model. Separate information on rates of molecular divergence between Drosophila species and from rates of movement of transposable elements is used to infer the overall genomic mutation rate in Drosophila, and the viability data are analyzed with mutation rate as a known parameter. If, for example, a mutation rate for chromosome 2 of 0.4 is assumed, maximum likelihood estimates of mean mutant effect on relative viability are 0.4% and 1%, but the majority of mutations have very much smaller effects than these values as distributions are highly leptokurtic. The methodology is applied to estimate viability effects of single P element insertional mutations. The mean effect per insertion is found to be higher, and their distribution is found to be less leptokurtic than for spontaneous mutations. The equilibrium genetic variance of viability predicted by a mutation-selection balance model with parameters estimated from the mutation accumulation experiments is similar to laboratory estimates of genetic variance of viability from natural populations of Drosophila.
根据两项已发表的关于受保护的第二染色体上突变积累的实验数据,通过最大似然法估计了果蝇相对生存力的效应和自发突变率的连续分布参数。等突变效应模型与这两项实验的数据拟合不佳;对于具有尖峰分布或存在不止一类突变效应的模型,似然性更高。影响第二染色体上生存力的多基因的突变率(每代事件数)的最小估计值分别为0.14和0.068,但估计值与模型中的其他参数强烈混淆。利用果蝇物种间分子分歧率和转座元件移动率的单独信息来推断果蝇的总体基因组突变率,并将生存力数据作为已知参数进行分析。例如,如果假设第二染色体的突变率为0.4,那么对相对生存力的平均突变效应的最大似然估计值为0.4%和1%,但由于分布高度尖峰,大多数突变的效应远小于这些值。该方法用于估计单个P元素插入突变的生存力效应。发现每次插入的平均效应更高,并且其分布比自发突变的分布更不尖峰。用从突变积累实验估计的参数的突变-选择平衡模型预测的生存力平衡遗传方差与果蝇自然种群生存力遗传方差的实验室估计值相似。