Abstract

Error-corrected sequences (ECSs) that utilize double-stranded DNA sequences are useful in detecting mutagen-induced mutations. However, relatively higher frequencies of G:C > T:A (1 × 10−7 bp) and G:C > C:G (2 × 10−7 bp) errors decrease the accuracy of detection of rare G:C mutations (approximately 10−7 bp). Oxidized guanines in single-strand (SS) overhangs generated after shearing could serve as the source of these errors. To remove these errors, we first computationally discarded up to 20 read bases corresponding to the ends of the DNA fragments. Error frequencies decreased proportionately with trimming length; however, the results indicated that they were not sufficiently removed. To efficiently remove SS overhangs, we evaluated three mechanistically distinct SS-specific nucleases (S1 Nuclease, mung bean nuclease, and RecJf exonuclease) and found that they were more efficient than computational trimming. Consequently, we established Jade-Seq™, an ECS protocol with S1 Nuclease treatment, which reduced G:C > T:A and G:C > C:G errors to 0.50 × 10−7 bp and 0.12 × 10−7 bp, respectively. This was probably because S1 Nuclease removed SS regions, such as gaps and nicks, depending on its wide substrate specificity. Subsequently, we evaluated the mutation-detection sensitivity of Jade-Seq™ using DNA samples from TA100 cells exposed to 3-methylcholanthrene and 7,12-dimethylbenz[a]anthracene, which contained the rare G:C > T:A mutation (i.e., 2 × 10−7 bp). Fold changes of G:C > T:A compared to the vehicle control were 1.2- and 1.3-times higher than those of samples without S1 Nuclease treatment, respectively. These findings indicate the potential of Jade-Seq™ for detecting rare mutations and determining the mutagenicity of environmental mutagens.

Highlights

  • Next-generation sequencing (NGS) technologies have enabled large-scale genomic mutation analysis and have revealed the role of genomic somatic mutations in human cancer

  • We first evaluated the effect of computational-read clippings on G:C error reduction up to a length of 20 bp. As these did not sufficiently reduce G:C errors, to remove SS regions more effectively, we evaluated the utility of single-strand specific nucleases (SSNs) by treating them with DNA fragments ahead of the end-repair step

  • G > T and G > C errors occurred much more frequently than their counterpart C > A and C > G errors, respectively. These results indicate that errors on G:C base pairs are possibly caused by the artificial modification of the G base

Read more

Summary

Introduction

Next-generation sequencing (NGS) technologies have enabled large-scale genomic mutation analysis and have revealed the role of genomic somatic mutations in human cancer. The demand for a precise clarification of genome-wide somatic mutations has increased in various research fields (Kennedy et al 2012; Beckman and Loeb 2017). 2 R&D Safety Science Research, Kao Corporation, 2606 Akabane, Ichikai‐Machi, Haga‐Gun, Tochigi 321‐3497, Japan direct, genome-wide analysis of mutagen-induced rare mutations has opened opportunities to characterize mutation spectra induced by mutagens. These studies will improve our knowledge of their mechanisms of action and their relationship with carcinogenicity (Maslov et al 2015; Sloan et al 2018; Kucab et al 2019; Salk and Kennedy 2020).

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call