Centre for Gene Regulation and Expression, University of Dundee, Scotland, UK.
European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
DNA Repair (Amst). 2020 Nov;95:102957. doi: 10.1016/j.dnarep.2020.102957. Epub 2020 Aug 28.
Genome integrity is constantly challenged by exogenous and endogenous insults, and mutations are associated with inherited disease and cancer. Here we summarize recent studies that utilized C. elegans whole genome next generation sequencing to experimentally determine mutational signatures associated with mutagen exposure, DNA repair deficiency or a combination of both and discuss the implications of these results for the understanding of cancer genome evolution. The experimental analysis of wild-type and DNA repair deficient nematodes propagated under unchallenged conditions over many generations revealed increased mutagenesis in approximately half of all DNA repair deficient strains, its rate, except for DNA mismatch repair, only being moderately increased. The exposure of wild-type and DNA repair defective strains to selected genotoxins, including UV-B and ionizing radiation, alkylating compounds, aristolochic acid, aflatoxin-B1, and cisplatin enabled the systematic analysis of the relative contributions of redundant repair modalities that mend DNA damage. Combining genotoxin exposure with DNA repair deficiency can manifest as altered mutation rates and/or as a change in mutational profiles, and reveals how different DNA alterations induced by one genotoxin are repaired by separate DNA repair pathways, often in a highly redundant way. Cancer genomes provide a snapshot of all mutational events that happened prior to cancer detection and sequencing, necessitating computational models to deduce mutational signatures using mathematical best fit approaches. While computationally deducing signatures from cancer genomes has been tremendously successful in associating some signatures to known mutagenic causes, many inferred signatures lack a clear link to a known mutagenic process. Moreover, analytical signatures might not reflect any distinct mutagenic processes. Nonetheless, combined effects of mutagen exposure and DNA damage-repair deficiency are also present in cancer genomes, but cannot be as easily detected owing to the unknown histories of genotoxic exposures and because biallelic in contrast to monoallelic DNA repair deficiency is rare. The impact of damage-repair interactions also manifests through selective pressure for DNA repair gene inactivation during cancer evolution. Using these considerations, we discuss a theoretical framework that explains why minute mutagenic changes, possibly too small to manifest as change in a signature, can have major effects in oncogenesis. Overall, the experimental analysis of mutational processes underscores that the interpretation of mutational signatures requires considering both the primary DNA lesion and repair status and imply that mutational signatures derived from cancer genomes may be more variable than currently anticipated.
基因组完整性不断受到外源和内源因素的挑战,突变与遗传疾病和癌症有关。在这里,我们总结了最近的研究,这些研究利用秀丽隐杆线虫全基因组下一代测序,实验确定了与诱变剂暴露、DNA 修复缺陷或两者结合相关的突变特征,并讨论了这些结果对癌症基因组进化理解的意义。对在无挑战条件下经过多代繁殖的野生型和 DNA 修复缺陷线虫进行的实验分析表明,大约一半的 DNA 修复缺陷菌株的突变率增加,除了 DNA 错配修复外,其突变率仅适度增加。对野生型和 DNA 修复缺陷菌株暴露于选定的遗传毒物,包括 UV-B 和电离辐射、烷化剂、马兜铃酸、黄曲霉毒素 B1 和顺铂,使我们能够系统地分析修复 DNA 损伤的冗余修复模式的相对贡献。将遗传毒物暴露与 DNA 修复缺陷结合起来,可能表现为突变率的改变和/或突变谱的改变,并揭示了一种遗传毒物诱导的不同 DNA 改变是如何通过单独的 DNA 修复途径修复的,通常是以高度冗余的方式。癌症基因组提供了在癌症检测和测序之前发生的所有突变事件的快照,这需要计算模型来使用数学最佳拟合方法推断突变特征。虽然从癌症基因组中计算推断特征在将一些特征与已知的诱变原因联系起来方面取得了巨大的成功,但许多推断的特征与已知的诱变过程缺乏明确的联系。此外,分析特征可能无法反映任何明显的诱变过程。然而,诱变剂暴露和 DNA 损伤修复缺陷的综合效应也存在于癌症基因组中,但由于遗传毒物暴露的未知历史以及与单等位基因 DNA 修复缺陷相比双等位基因 DNA 修复缺陷罕见,因此不容易被检测到。在癌症进化过程中,DNA 修复基因失活的选择压力也表现出了这种影响。利用这些考虑因素,我们讨论了一个理论框架,解释了为什么微小的诱变变化,可能太小而不能表现为特征的变化,可能对肿瘤发生有重大影响。总的来说,突变过程的实验分析强调了对突变特征的解释需要同时考虑主要的 DNA 损伤和修复状态,并暗示来自癌症基因组的突变特征可能比目前预期的更具可变性。