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

Yu Fu, Xiaobai He,Quan Fang, Fei Kong, Yan Zhang, Ting Fu,Liang Chen, Yanxin Liu,Zhen Wang, Jianxin Lyu,Linjie Chen

APMIS(2024)

引用 0|浏览1
暂无评分
摘要
Respiratory infectious viruses, including SARS-CoV-2, undergo rapid genetic evolution, resulting in diverse subtypes with complex mutations. Detecting and differentiating these subtypes pose significant challenges in respiratory virus surveillance. To address these challenges, we integrated ARMS-PCR with molecular beacon probes, allowing selective amplification and discrimination of subtypes based on adjacent mutation sites. The method exhibited high specificity and sensitivity, detecting as low as 10(4) copies/mL via direct fluorescence analysis and similar to 10(6) copies/mL using real-time PCR. Our robust detection approach offers a reliable and efficient solution for monitoring evolving respiratory infections, aiding early diagnosis and control measures. Further research could extend its application to other respiratory viruses and optimize its implementation in clinical settings.
更多
查看译文
关键词
Respiratory infectious viruses,SARS-CoV-2,subtypes,mutation patterns
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要