Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR

Victor M. Corman, Olfert Landt, Marco Kaiser, Richard Molenkamp, Adam Meijer, Daniel K.W. Chu, Tobias Bleicker, Sebastian Brünink, Julia Schneider, Marie Luisa Schmidt, Daphne G.J.C. Mulders, Bart L. Haagmans, Bas Van Der Veer, Sharon Van Den Brink, Lisa Wijsman, Gabriel Goderski, Jean Louis Romette, Joanna Ellis, Maria Zambon, Malik PeirisHerman Goossens, Chantal Reusken, Marion P.G. Koopmans, Christian Drosten*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2607 Citations (Scopus)

Abstract

Background: The ongoing outbreak of the recently emerged novel coronavirus (2019-nCoV) poses a challenge for public health laboratories as virus isolates are unavailable while there is growing evidence that the outbreak is more widespread than initially thought, and international spread through travellers does already occur. Aim: We aimed to develop and deploy robust diagnostic methodology for use in public health laboratory settings without having virus material available. Methods: Here we present a validated diagnostic workflow for 2019-nCoV, its design relying on close genetic relatedness of 2019-nCoV with SARS coronavirus, making use of synthetic nucleic acid technology. Results: The workflow reliably detects 2019-nCoV, and further discriminates 2019-nCoV from SARS-CoV. Through coordination between academic and public laboratories, we confirmed assay exclusivity based on 297 original clinical specimens containing a full spectrum of human respiratory viruses. Control material is made available through European Virus Archive Global (EVAg), a European Union infrastructure project. Conclusion: The present study demonstrates the enormous response capacity achieved through coordination of academic and public laboratories in national and European research networks.

Original languageEnglish
Article number2000045
JournalEurosurveillance
Volume25
Issue number3
DOIs
Publication statusPublished - 23 Jan 2020

Bibliographical note

Funding Information:
This work was funded by European Union DG Research through projects Prepare (GA602525), Compare (GA643476), and EVAg (GA653316); by European Union DG SANCO through EVD-LabNet, as well as by the German Ministry of Research through projects RAPID (01KI1723A) and DZIF (301-4-7-01.703).

Publisher Copyright:
© 2020 European Centre for Disease Prevention and Control (ECDC). All rights reserved.

Fingerprint

Dive into the research topics of 'Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR'. Together they form a unique fingerprint.

Cite this