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

Выявление нового коронавируса 2019 года (2019-nCoV) методом ОТ-ПЦР в реальном времени
Julia A. Schneider, Bart L. Haagmans, Herman Goossens, Herman Goossens, Christian Drosten, Joanna Ellis, Maria Cristina Fleischmann Alves Zambon, Marion Koopmans, Victor M. Corman, Bas van der Veer, Sharon van den Brink, Lisa A. Wijsman, Richard Molenkamp, Chantal B. E. M. Reusken, Adam Meijer, Tobias Bleicker, Sebastian Brünink, Marie Luisa Schmidt, Olfert Landt, Malik J. S. Peiris, Marco Kaiser, Daniel K. W. Chu, Daphne G.J.C. Mulders, Gabriel Goderski, Jean-Louis Romette, Jean‐Louis Romette
2020-01-23

2019-nCoV detectionSARS-CoV discriminationdiagnostic workflowreal-time RT-PCRsynthetic nucleic acid technology
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.
1
A validated real-time RT-PCR diagnostic workflow was developed for 2019-nCoV without requiring access to virus isolates.
2
Assay exclusivity was confirmed using 297 original clinical specimens containing a broad spectrum of human respiratory viruses.
3
Control material was made available through the European Virus Archive-Global infrastructure, demonstrating coordinated academic and public laboratory response capacity.
4
Synthetic nucleic acid technology enabled development and deployment of diagnostic methodology despite unavailable virus material.
5
The assay reliably detects 2019-nCoV and distinguishes it from SARS-CoV using designs informed by their close genetic relatedness.

2019 novel coronavirus (2019-nCoV) in human respiratory clinical specimens

Reliable real-time RT-PCR detection and discrimination of 2019-nCoV from SARS-CoV, including assay exclusivity across other human respiratory viruses

Publication Details
Publication Date
2020-01-23
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Authors
Julia A. Schneider
Bart L. Haagmans
Herman Goossens
Herman Goossens
Christian Drosten
Joanna Ellis
Maria Cristina Fleischmann Alves Zambon
Marion Koopmans
Victor M. Corman
Bas van der Veer
Sharon van den Brink
Lisa A. Wijsman
Richard Molenkamp
Chantal B. E. M. Reusken
Adam Meijer
Tobias Bleicker
Sebastian Brünink
Marie Luisa Schmidt
Olfert Landt
Malik J. S. Peiris
Marco Kaiser
Daniel K. W. Chu
Daphne G.J.C. Mulders
Gabriel Goderski
Jean-Louis Romette
Jean‐Louis Romette
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