Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Office of Environmental Science Cyberinfrastructure, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
DNA Repair (Amst). 2023 Mar;123:103462. doi: 10.1016/j.dnarep.2023.103462. Epub 2023 Jan 28.
Mutation is a phenomenon inescapable for all life-forms, including bacteria. While bacterial mutation rates are generally low due to the operation of error-avoidance systems, sometimes they are elevated by many orders of magnitude. Such a state, known as a hypermutable state, can result from exposure to stress or to harmful environments. Studies of bacterial mutation frequencies and analysis of the precise types of mutations can provide insights into the mechanisms by which mutations occur and the possible involvement of error-avoidance pathways. Several approaches have been used for this, like reporter assays involving non-essential genes or mutation accumulation over multiple generations. However, these approaches give an indirect estimation, and a more direct approach for determining mutations is desirable. With the recent development of a DNA sequencing technique known as Duplex Sequencing, it is possible to detect rare variants in a population at a frequency of 1 in 10 base pairs or less. Here, we have applied Duplex Sequencing to study spontaneous mutations in E. coli. We also investigated the production of replication errors by using a mismatch-repair defective (mutL) strain as well as oxidative-stress associated mutations using a mutT-defective strain. For DNA from a wild-type strain we obtained mutant frequencies in the range of 10 to 10 depending on the specific base-pair substitution, but we argue that these mutants merely represent a background of the system, rather than mutations that occurred in vivo. In contrast, bona-fide in vivo mutations were identified for DNA from both the mutL and mutT strains, as indicated by specific increases in base substitutions that are fully consistent with their established in vivo roles. Notably, the data reproduce the specific context effects of in vivo mutations as well as the leading vs. lagging strand bias among DNA replication errors.
突变是所有生命形式都无法避免的现象,包括细菌。虽然由于纠错系统的作用,细菌的突变率通常较低,但有时它们会升高几个数量级。这种状态称为高突变状态,可能是由于暴露于应激或有害环境中引起的。研究细菌突变频率并分析精确的突变类型可以深入了解突变发生的机制以及纠错途径的可能参与。为此,已经使用了几种方法,例如涉及非必需基因的报告基因测定或在多个世代中积累突变。但是,这些方法提供了间接估计,并且需要更直接的方法来确定突变。随着最近一种称为双链测序的 DNA 测序技术的发展,有可能以每 10 个碱基对或更低的频率检测到群体中的稀有变体。在这里,我们应用双链测序来研究大肠杆菌中的自发突变。我们还通过使用错配修复缺陷(mutL)菌株以及与氧化应激相关的突变来研究复制错误的产生,通过使用 mutT 缺陷菌株。对于来自野生型菌株的 DNA,我们获得了特定碱基对取代的突变频率范围在 10 到 10 之间,但我们认为这些突变体仅代表系统的背景,而不是体内发生的突变。相比之下,来自 mutL 和 mutT 菌株的 DNA 都鉴定出了真正的体内突变,这表明碱基替换的特异性增加完全与其体内作用一致。值得注意的是,数据重现了体内突变的特定上下文效应以及 DNA 复制错误中的前导链与滞后链偏向。