Single-strand specific nuclease enhances accuracy of error-corrected sequencing and improves rare mutation-detection sensitivity.
Arch Toxicol
; 96(1): 377-386, 2022 01.
Article
em En
| MEDLINE
| ID: mdl-34767040
ABSTRACT
Error-corrected sequences (ECSs) that utilize double-stranded DNA sequences are useful in detecting mutagen-induced mutations. However, relatively higher frequencies of GC > TA (1 × 10-7 bp) and GC > CG (2 × 10-7 bp) errors decrease the accuracy of detection of rare GC 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 GC > TA and GC > CG 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 GC > TA mutation (i.e., 2 × 10-7 bp). Fold changes of GC > TA 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.
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Base de dados:
MEDLINE
Assunto principal:
Sequenciamento de Nucleotídeos em Larga Escala
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Mutagênicos
Tipo de estudo:
Diagnostic_studies
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Guideline
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article