Development of an automatic integrated gene detection system for novel severe acute respiratory syndrome-related coronavirus (SARS-CoV2)

Emerg Microbes Infect. 2020 Dec;9(1):1489-1496. doi: 10.1080/22221751.2020.1782774.

Abstract

In December 2019, Wuhan, China suffered a serious outbreak of a novel coronavirus infectious disease (COVID) caused by novel severe acute respiratory syndrome-related coronavirus (SARS-CoV 2). To quickly identify the pathogen, we designed and screened primer sets, and established a sensitive and specific qRT-PCR assay for SARS-CoV 2; the lower limit of detection (LOD) was 14.8 (95% CI: 9.8-21) copies per reaction. We combined this qRT-PCR assay with an automatic integration system for nucleic acid extraction and amplification, thereby establishing an automatic integrated gene detection system (AIGS) for SARS-CoV 2. Cross reactive analysis performed in 20 other respiratory viruses and 37 nasopharyngeal swabs confirmed a 100% specificity of the assay. Using two fold diluted SARS-CoV 2 culture, the LOD of AIGS was confirmed to be 365 copies/ml (95% CI: 351-375), which was Comparable to that of conventional q RT-PCR (740 copies/ml, 95% CI: 689-750). Clinical performances of AIGS assay were assessed in 266 suspected COVID-19 clinical respiratory tract samples tested in parallel with a commercial kit. The clinical sensitivity of the AIGS test was 97.62% (95% CI: 0.9320-0.9951) based on the commercial kit test result, and concordance analysis showed a high agreement in SARS-CoV-2 detection between the two assays, Pearson R was 0.9623 (95% CI: 0.9523-0.9703). The results indicated that this AIGS could be used for rapid detection of SARS-CoV 2. With the advantage of simple operation and less time consuming, AIGS could be suitable for SARS-CoV2 detection in primary medical institutions, thus would do a great help to improve detection efficiency and control the spread of COVID-19.

Keywords: COVID-19; SARS-CoV2; automatic integrated gene detection system; qRT-PCR; rapid detection.

Publication types

  • Clinical Trial

MeSH terms

  • Automation, Laboratory
  • Betacoronavirus / isolation & purification*
  • COVID-19
  • China
  • Coronavirus Infections / diagnosis*
  • DNA Primers
  • Humans
  • Limit of Detection
  • Pandemics
  • Pneumonia, Viral / diagnosis*
  • RNA, Viral / analysis
  • Real-Time Polymerase Chain Reaction / methods*
  • SARS-CoV-2
  • Sensitivity and Specificity
  • Virus Cultivation

Substances

  • DNA Primers
  • RNA, Viral

Grants and funding

This work was supported by Major National Science Program Foundation [grant numbers 2018ZX10711001-003, 2018ZX10732401, AWS16J020]; Science and Technology Development Program of Beijing City [grant number Z2011100001020001].