• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Han, Y. (Han, Y..) | Liu, Q. (Liu, Q..)

Indexed by:

Scopus

Abstract:

A TaqMan probe real-time quantitative PCR (RT-qPCR) approach was developed for rapid identification of SARS-CoV-2 main variants. Specific primers and probes were designed based on the sequence of the SARS-CoV-2 wild and main variants alpha (N501Y, HV69-70del), beta (E484K, K417N), gamma (K417T, V1176F), delta (L452R, T478K) and omicron (H655Y, N679K, P681H) genes. The specificity, sensitivity and performance of the RT-qPCR assay were tested. The assay can identify SARS-CoV-2 wild type and main variants efficiently, and has no crossover with a panel of respiratory pathogens (n=21), showing high specificity toward SARS-CoV-2 RNA. The assay's sensitivity was determined to be 2×102 copies/mL. In summary, we developed a simple, rapid and cost-effective RT-qPCR assay that enables identification of SARS-CoV-2 main variants. It can be used to monitor the variation of SARS-CoV-2 strain for accurate identification, prevention and control of outbreaks. © 2022, Science Press. All right reserved.

Keyword:

Variant SARS-CoV-2 Real-time quantitative PCR

Author Community:

  • [ 1 ] [Han Y.]Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Han Y.]Institute of Radiation Medicine, Academy of Military Medical Sciences, Beijing, 100850, China
  • [ 3 ] [Liu Q.]Institute of Radiation Medicine, Academy of Military Medical Sciences, Beijing, 100850, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Source :

Chinese Journal of Biotechnology

ISSN: 1000-3061

Year: 2022

Issue: 6

Volume: 38

Page: 2224-2235

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

Affiliated Colleges:

Online/Total:498/10580606
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.