Sommer S S, Ketterling R P
Department of Biochemistry and Molecular Biology, Mayo Clinic/Foundation, Rochester, MN 55905.
Mutat Res. 1994 Jun 1;307(2):517-31. doi: 10.1016/0027-5107(94)90263-1.
Transgenic mutation-detection systems have been pioneered in mice, but the approach is applicable to any species in which transgenic animals can be generated. The observed mutations seen in mutation-detection systems are influenced by the underlying pattern of mutation, i.e., the mutational pattern that occurs in wild-type organisms in endogenous segments of DNA that are not under selective pressure. Unfortunately, the biology of most genes and assays markedly skew the underlying pattern of mutation. Herein, we raise multiple issues that must be addressed in order to estimate the underlying pattern of spontaneous mutation from transgenic mouse mutation-detection systems. If these issues can be addressed, the underlying pattern of spontaneous mutation can then be deduced for multiple cell types and for transgenes integrated into different parts of the genome. Even though transgenic methodology cannot be applied directly to humans, it is likely that comparable data on the underlying pattern of spontaneous mutation will be available in humans. Such data are currently available for germline mutations in the factor IX gene. These data are reviewed because of their relevance to two of the multiple issues that must be addressed in transgenic mouse mutation-detection systems: (1) How can the underlying pattern of mutation be deduced from the observed pattern? and (2) How similar are the underlying patterns of mutation in humans and in mice? The analysis of recent germ-line mutation in the factor IX gene yield estimates of the mutation rates per base pair per generation. In brief, the mutation rates vary from 0.037 x 10(-10) for deletions (> 20 bp) to 360 x 10(-10) for transitions at the dinucleotide CpG. If these mutation rates are extrapolated to the entire genome, the aggregate mutation rate is estimated to be 36 x 10(-10). This implies that the diploid genome of each person contains about 21 de novo mutations. In the future, the underlying pattern of spontaneous mutation will be deduced for multiple human genes and these will serve as benchmarks to assess the similarity of the mutational process in humans and in mice.
转基因突变检测系统在小鼠中已率先开展,但该方法适用于任何能够培育出转基因动物的物种。在突变检测系统中观察到的突变受到潜在突变模式的影响,即野生型生物体中未受选择压力的内源性DNA片段所出现的突变模式。不幸的是,大多数基因和检测方法的生物学特性明显扭曲了潜在的突变模式。在此,我们提出了多个问题,要从转基因小鼠突变检测系统中估计自发突变的潜在模式,就必须解决这些问题。如果这些问题能够得到解决,那么就可以推断出多种细胞类型以及整合到基因组不同部位的转基因的自发突变潜在模式。尽管转基因方法不能直接应用于人类,但很可能会获得关于人类自发突变潜在模式的类似数据。目前已有关于凝血因子IX基因种系突变的此类数据。由于这些数据与转基因小鼠突变检测系统中必须解决的多个问题中的两个相关,因此对其进行了综述:(1)如何从观察到的模式推断潜在的突变模式?(2)人类和小鼠的潜在突变模式有多相似?对凝血因子IX基因最近的种系突变分析得出了每代每碱基对的突变率估计值。简而言之,突变率从缺失(>20 bp)的0.037×10⁻¹⁰到二核苷酸CpG处转换的360×10⁻¹⁰不等。如果将这些突变率外推到整个基因组,估计总突变率为36×10⁻¹⁰。这意味着每个人的二倍体基因组大约包含21个新生突变。未来,将推断出多种人类基因的自发突变潜在模式,这些将作为评估人类和小鼠突变过程相似性的基准。