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SF-qPCR: Strand Displacement-Based Fast Quantitative Polymerase Chain Reaction.

ABSTRACT: Nucleic acid testing (NAT) is important for the identification and quantification of specific nucleic acid targets, both DNA and RNA, in life sciences and clinical diagnostics. Nucleic acid amplification can be a time-consuming step in NAT using the polymerase chain reaction (PCR) assay. Therefore, this study aimed to develop a simple method to reduce the amplification time while maintaining the PCR system. The three-step process of a general qPCR was reduced to a two-step process. The annealing/extension temperatures were increased to minimize the differences between the denaturation temperature and the annealing/extension temperatures. Subsequently, the time for each of these steps was reduced and, finally, the denaturation temperature was lowered. Taq polymerase was replaced with SD polymerase because it has strand displacement activity and is efficient in amplifying partial dsDNA at lower denaturation temperatures. In the two-step qPCR of genomic DNA using SD polymerase, the final conditions included an initial denaturation at 92 °C for 2 min, and 1 s at each cycling step with a denaturation temperature of 87 °C and an annealing/extension temperature of 72 °C. Amplification of the nucleocapsid (N) gene of SARS-CoV-2 RNA virus was evaluated at a template concentration as low as 10 copies. This method, named SF-qPCR (strand displacement-based fast quantitative polymerase chain reaction), can stably detect less than 10 copies of DNA and RNA within 25-40 min. This new protocol allows for sensitive and rapid detection of important DNA and RNA targets in clinical diagnosis.

Supplementary information

The online version contains supplementary material available at 10.1007/s13206-021-00044-x.

SUBMITTER: Kim J

PROVIDER: S-EPMC8790009 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Polymerase chain reaction (PCR) is an in vitro technology in molecular genetics that progressively amplifies minimal copies of short DNA sequences in a fast and inexpensive manner. However, PCR performance is sensitive to suboptimal processing conditions. Compromised PCR conditions lead to artifacts and bias that downgrade the discriminatory power and reproducibility of the results. Promising attempts to resolve the PCR performance optimization issue have been guided by quality improvement tactics adopted in the past for industrial trials. Thus, orthogonal arrays (OAs) have been employed to program quick-and-easy structured experiments. Profiling of influences facilitates the quantification of effects that may counteract the detectability of amplified DNA fragments. Nevertheless, the attractive feature of reducing greatly the amount of work and expenditures by planning trials with saturated-unreplicated OA schemes is known to be relinquished in the subsequent analysis phase. This is because of an inherent incompatibility of ordinary multi-factorial comparison techniques to convert small yet dense datasets. Treating unreplicated-saturated data with either the analysis of variance (ANOVA) or regression models destroys the information extraction process. Both of those mentioned approaches are rendered blind to error since the examined effects absorb all available degrees of freedom. Therefore, in lack of approximating an experimental uncertainty, any outcome interpretation is rendered subjective. We propose a profiling method that permits the non-linear maximization of amplicon resolution by eliminating the necessity for direct error estimation. Our approach is distribution-free, calibration-free, simulation-free and sparsity-free with well-known power properties. It is also user-friendly by promoting rudimentary analytics. Testing our method on published amplicon count data, we found that the preponderant effect is the concentration of MgCl2 (p<0.05) followed by the primer content (p<0.1) whilst the effects due to either the content of the deoxynucleotide (dNTP) or DNA remained dormant (p>0.1). Comparison of the proposed method with other stochastic approaches is also discussed. Our technique is expected to have extensive applications in genetics and biotechnology where there is a demand for cheap, expedient, and robust information.

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SF-qPCR: Strand Displacement-Based Fast Quantitative Polymerase Chain Reaction.

Supplementary information

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