Rapid identification of SARS-CoV-2 variants using stable high-frequency mutation sites

Area of Science:

• Virology
• Molecular Biology
• Infectious Diseases

Background:

• Respiratory viruses like SARS-CoV-2 evolve rapidly, creating diverse subtypes with complex mutations.
• Accurate detection and differentiation of these subtypes are crucial for effective respiratory virus surveillance.
• Existing methods face challenges in distinguishing between closely related viral variants.

Purpose of the Study:

• To develop a novel method for selective amplification and discrimination of respiratory virus subtypes.
• To address the challenges in detecting and differentiating evolving viral genetic diversity.
• To provide a reliable tool for enhanced respiratory virus surveillance.

Main Methods:

• Integration of Amplification Refractory Mutation System-Polymerase Chain Reaction (ARMS-PCR) with molecular beacon probes.
• Utilizing adjacent mutation sites for selective amplification and subtype discrimination.
• Direct fluorescence analysis and real-time PCR for detection and quantification.

Main Results:

• The developed method demonstrated high specificity and sensitivity in detecting viral subtypes.
• Detection limits were as low as 10^4 copies/mL via direct fluorescence and ~10^6 copies/mL using real-time PCR.
• The approach successfully discriminated between subtypes based on specific mutation sites.

Conclusions:

• The combined ARMS-PCR and molecular beacon method offers a robust and efficient solution for monitoring evolving respiratory infections.
• This approach aids in early diagnosis and facilitates timely implementation of control measures.
• Future research can expand this technique to other respiratory viruses and clinical applications.