单链DNA质子化诱导的突变与糖酵解糖代谢有关

IF 1.5 4区 医学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Suzana P. Gelova , Kin Chan
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引用次数: 0

摘要

突变可以被认为是随机的,因为每个突变事件的发生都不能在空间或时间上精确预测。然而,当分析足够多的突变时,可以识别出称为突变特征的碱基变化的重复模式。到目前为止,已经从癌症基因组学数据的分析中获得了大约60个单碱基取代或SBS签名。我们最近报道,普遍存在的SBS5特征与人类单核苷酸多态性(SNPs)的模式相匹配,并且在许多物种中具有类似物。使用温度敏感的单链DNA(ssDNA)突变报告系统,我们还表明酵母中类似的突变模式依赖于易出错的变性DNA合成(TLS)和糖酵解糖代谢。在这里,我们进一步研究了酵母中这种形式突变的机制。我们首先证实,过量的糖代谢会导致突变率增加,这可以通过波动分析检测到。由于已知糖酵解会产生过量的质子,我们随后研究了实验操作对pH和诱变的影响。我们假设,代谢8%葡萄糖的酵母会比代谢2%葡萄糖的细胞产生更多多余的质子。与此一致的是,代谢8%葡萄糖的细胞具有较低的细胞内和细胞外pH值。类似地,vma3(编码液泡H+-ATP酶亚基)的缺失增加了突变。我们还发现,用去甲磺酸处理细胞(这使膜更具渗透性,包括对质子的渗透性)或在低pH培养基中培养会增加突变。对20µM乙二胺处理引起的突变模式的分析显示,与先前在ssDNA中观察到的类似SBS5的TLS和糖酵解依赖性突变模式相似。总之,我们的结果与多项生化研究一致,这些研究表明,含氮碱基的质子化可以改变碱基配对,从而稳定一些错配对,并为一种常见的内在诱变形式提供了新的线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mutagenesis induced by protonation of single-stranded DNA is linked to glycolytic sugar metabolism

Mutagenesis induced by protonation of single-stranded DNA is linked to glycolytic sugar metabolism

Mutagenesis can be thought of as random, in the sense that the occurrence of each mutational event cannot be predicted with precision in space or time. However, when sufficiently large numbers of mutations are analyzed, recurrent patterns of base changes called mutational signatures can be identified. To date, some 60 single base substitution or SBS signatures have been derived from analysis of cancer genomics data. We recently reported that the ubiquitous signature SBS5 matches the pattern of single nucleotide polymorphisms (SNPs) in humans and has analogs in many species. Using a temperature-sensitive single-stranded DNA (ssDNA) mutation reporter system, we also showed that a similar mutational pattern in yeast is dependent on error-prone translesion DNA synthesis (TLS) and glycolytic sugar metabolism. Here, we further investigated mechanisms that are responsible for this form of mutagenesis in yeast. We first confirmed that excess sugar metabolism leads to increased mutation rate, which was detectable by fluctuation assay. Since glycolysis is known to produce excess protons, we then investigated the effects of experimental manipulations on pH and mutagenesis. We hypothesized that yeast metabolizing 8% glucose would produce more excess protons than cells metabolizing 2% glucose. Consistent with this, cells metabolizing 8% glucose had lower intracellular and extracellular pH values. Similarly, deletion of vma3 (encoding a vacuolar H+-ATPase subunit) increased mutagenesis. We also found that treating cells with edelfosine (which renders membranes more permeable, including to protons) or culturing in low pH media increased mutagenesis. Analysis of the mutational pattern attributable to 20 µM edelfosine treatment revealed similarity to the SBS5-like TLS- and glycolysis-dependant mutational patterns previously observed in ssDNA. Altogether, our results agree with multiple biochemical studies showing that protonation of nitrogenous bases can alter base pairing so as to stabilize some mispairs, and shed new light on a common form of intrinsic mutagenesis.

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来源期刊
CiteScore
4.90
自引率
0.00%
发文量
24
审稿时长
51 days
期刊介绍: Mutation Research (MR) provides a platform for publishing all aspects of DNA mutations and epimutations, from basic evolutionary aspects to translational applications in genetic and epigenetic diagnostics and therapy. Mutations are defined as all possible alterations in DNA sequence and sequence organization, from point mutations to genome structural variation, chromosomal aberrations and aneuploidy. Epimutations are defined as alterations in the epigenome, i.e., changes in DNA methylation, histone modification and small regulatory RNAs. MR publishes articles in the following areas: Of special interest are basic mechanisms through which DNA damage and mutations impact development and differentiation, stem cell biology and cell fate in general, including various forms of cell death and cellular senescence. The study of genome instability in human molecular epidemiology and in relation to complex phenotypes, such as human disease, is considered a growing area of importance. Mechanisms of (epi)mutation induction, for example, during DNA repair, replication or recombination; novel methods of (epi)mutation detection, with a focus on ultra-high-throughput sequencing. Landscape of somatic mutations and epimutations in cancer and aging. Role of de novo mutations in human disease and aging; mutations in population genomics. Interactions between mutations and epimutations. The role of epimutations in chromatin structure and function. Mitochondrial DNA mutations and their consequences in terms of human disease and aging. Novel ways to generate mutations and epimutations in cell lines and animal models.
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