Rapid Identification of Respiratory Infectious Disease Viruses Using
Stable High-Frequency Mutation Sites
Abstract
Background: Respiratory infectious viruses, such as the novel
coronavirus SARS-CoV-2, are highly transmissible and undergo rapid
genetic evolution, which leads to the emergence of multiple subtypes
with diverse mutation patterns. However, detecting and differentiating
between these subtypes present significant challenges in the field of
respiratory virus surveillance. Methods: To address these challenges, we
developed a novel detection approach that integrates amplification
refractory mutation system PCR (ARMS-PCR) with molecular beacon probes.
The ARMS-PCR primers were designed to selectively amplify specific
subtypes by targeting adjacent mutation sites, while the molecular
beacon probes allowed for further discrimination of the amplified
products. This combined approach effectively addressed the issues of
non-specific binding and improved detection accuracy. Results: Our
method demonstrated high specificity and sensitivity in the
identification and differentiation of respiratory virus subtypes. Using
real-time fluorescence PCR, we achieved a detection limit of
approximately 106 copies/mL. Moreover, through the direct analysis of
fluorescence signals, we further enhanced the sensitivity to a detection
limit of 104 copies/mL. This robust and accurate detection approach is
capable of identifying and differentiating between respiratory virus
subtypes, including those with complex mutation patterns. Conclusions:
The integration of ARMS-PCR and molecular beacon probes is a reliable
and efficient solution for the rapid and precise monitoring of evolving
respiratory infectious diseases, and it has the potential to facilitate
early diagnosis and effective control measures. Further research is
needed to expand the application of this detection method to other
respiratory viruses and optimize its workflow for clinical and public
health settings.