Study of Mutation from DNA to Biological Evolution
Study of Mutation from DNA to Biological Evolution
复制标题
从DNA突变到生物进化的研究
DOI：
10.1080/09553002.2019.1606957
复制
发表时间：
2019
影响因子：
2.6
通讯作者：
Toki Hiroshi
中科院分区：
文献类型：
--
作者：
Bando Masako;Kinugawa Tetsuhiro;Manabe Yuichiro;Masugi Miwako;Nakajima Hiroo;Suzuki Kazuyo;Tsunoyama Yuichi;Wada Takahiro;Toki Hiroshi
目的：本文基于M.班度我们首先强调了低剂量/剂量率对生物体效应的各个领域的科学家之间的合作的重要性。我们用一个数学模型对各种动植物辐射诱变的定量估计进行了比较。我们从DNA水平上推导出自发突变的重要性，它为理解生物进化提供了关键。我们尝试构建一个指导图来解决这个问题，发现突变是从DNA损伤到宏观生物进化途径中的一个重要阶段。材料与方法：我们构建了一个考虑恢复效应的突变数学模型，命名为“WAM”模型。模型设定被视为生存和风险函数的扩展。WAM模型用于再现动物和植物突变频率的累积数据。特别是模型分析表明，剂量率依赖性对理解各种突变数据是重要的。结果与结论：WAM模型成功地再现了动植物的各种突变数据。我们发现，包括剂量率是很重要的理解所有的突变数据。因此，我们能够开发的“标度法”，使突变频率数据的跨物种比较。有了这个发现，我们可以提取自发突变对突变的显性影响，并量化这个量。我们能够通过减去自发突变来写出人工辐射频率。有了这个成功，我们估计的起源自发突变由于活性氧，其顺序同意自发突变。
Purpose:This is a paper based on a talk given in the BER2018 conference by M. Bando. We first emphasize the importance of collaborations among scientists in various fields for the low dose/dose-rate effects on biological body. We make comparisons of quantitative estimations of mutation caused by the radiation exposure on various animals and plants using one mathematical model. We derive the importance of the spontaneous mutation at the DNA level, which provides the key to understand the biological evolution. We try to make a guide map to solve this problem and find that the mutation is an important stage of the pathway from the DNA damage to the macroscopic biological evolution.Materials and methods:We construct a mathematical model for the mutation, named as ‘WAM’ model, which takes into account the recovery effect. The model setting is regarded as an extension of the survival and the hazard functions. The WAM model is used to reproduce accumulated data of mutation frequency of animals and plants. Especially the model analysis shows that the dose-rate dependence is important to understand various mutation data.Results and conclusions:The WAM model is successful in reproducing various mutation data of animals and plants. We find that the inclusion of the dose rate is important to understand all the mutation data. Hence, we are able to develop the ‘scaling law’ to make the cross-species comparison of mutation frequency data. With this finding, we can extract the dominant effect on the mutation to be caused by the spontaneous mutation, and quantify this amount. We are able to write then the artificial radiation frequency by subtracting the spontaneous mutation. With this success, we estimate the origin of the spontaneous mutation as due to ROS, the order of which agrees to the spontaneous mutation.