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

Author:

Fu Yu1ORCID,He Xiaobai1,Fang Quan2,Kong Fei1,Zhang Yan1,Fu Ting1,Chen Liang1,Liu YanXin1,Wang Zhen3,Lyu Jianxin14,Chen Linjie1ORCID

Affiliation:

1. School of Laboratory Medicine and Bioengineering Hangzhou Medical College Hangzhou China

2. Department of laboratory, Physical Examination Center Air Force Hangzhou Special Service Convalescence Center Zone 1 Hangzhou China

3. Center for Laboratory Medicine, Allergy center, Department of Transfusion medicine, Zhejiang Provincial People's Hospital Affiliated People's Hospital, Hangzhou Medical College Hangzhou Zhejiang China

4. Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital) Hangzhou Medical College Hangzhou Zhejiang China

Abstract

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 104 copies/mL via direct fluorescence analysis and ~106 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.

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3