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

Victor M. Corman(Charité - Universitätsmedizin Berlin), Olfert Landt(TIB Molbiol (Germany)), Marco Kaiser, Richard Molenkamp(Erasmus MC), Adam Meijer(National Institute for Public Health and the Environment), Daniel K. W. Chu(University of Hong Kong), Tobias Bleicker(Charité - Universitätsmedizin Berlin), Sebastian Brünink(Charité - Universitätsmedizin Berlin), Julia Schneider(Charité - Universitätsmedizin Berlin), Marie Luisa Schmidt(Charité - Universitätsmedizin Berlin), Daphne G.J.C. Mulders(Erasmus MC), Bart L. Haagmans(Erasmus MC), Bas van der Veer(National Institute for Public Health and the Environment), Sharon van den Brink(National Institute for Public Health and the Environment), Lisa Wijsman(National Institute for Public Health and the Environment), Gabriel Goderski(National Institute for Public Health and the Environment), Jean-Louis Romette(Aix-Marseille Université), Joanna Ellis(Public Health England), Maria Zambon(Public Health England), Malik Peiris(University of Hong Kong), Herman Goossens(University of Antwerp), Chantal Reusken(National Institute for Public Health and the Environment), Marion Koopmans(Erasmus MC), Christian Drosten(Charité - Universitätsmedizin Berlin)
Eurosurveillance
January 23, 2020
Cited by 8,168Open Access
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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.


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