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

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 trav...

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Autores principales: Corman, Victor M, Landt, Olfert, Kaiser, Marco, Molenkamp, Richard, Meijer, Adam, Chu, Daniel KW, Bleicker, Tobias, Brünink, Sebastian, Schneider, Julia, Schmidt, Marie Luisa, Mulders, Daphne GJC, Haagmans, Bart L, van der Veer, Bas, van den Brink, Sharon, Wijsman, Lisa, Goderski, Gabriel, Romette, Jean-Louis, Ellis, Joanna, Zambon, Maria, Peiris, Malik, Goossens, Herman, Reusken, Chantal, Koopmans, Marion PG, Drosten, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988269/
https://www.ncbi.nlm.nih.gov/pubmed/31992387
http://dx.doi.org/10.2807/1560-7917.ES.2020.25.3.2000045
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author Corman, Victor M
Landt, Olfert
Kaiser, Marco
Molenkamp, Richard
Meijer, Adam
Chu, Daniel KW
Bleicker, Tobias
Brünink, Sebastian
Schneider, Julia
Schmidt, Marie Luisa
Mulders, Daphne GJC
Haagmans, Bart L
van der Veer, Bas
van den Brink, Sharon
Wijsman, Lisa
Goderski, Gabriel
Romette, Jean-Louis
Ellis, Joanna
Zambon, Maria
Peiris, Malik
Goossens, Herman
Reusken, Chantal
Koopmans, Marion PG
Drosten, Christian
author_facet Corman, Victor M
Landt, Olfert
Kaiser, Marco
Molenkamp, Richard
Meijer, Adam
Chu, Daniel KW
Bleicker, Tobias
Brünink, Sebastian
Schneider, Julia
Schmidt, Marie Luisa
Mulders, Daphne GJC
Haagmans, Bart L
van der Veer, Bas
van den Brink, Sharon
Wijsman, Lisa
Goderski, Gabriel
Romette, Jean-Louis
Ellis, Joanna
Zambon, Maria
Peiris, Malik
Goossens, Herman
Reusken, Chantal
Koopmans, Marion PG
Drosten, Christian
author_sort Corman, Victor M
collection PubMed
description 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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spelling pubmed-69882692020-02-06 Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR Corman, Victor M Landt, Olfert Kaiser, Marco Molenkamp, Richard Meijer, Adam Chu, Daniel KW Bleicker, Tobias Brünink, Sebastian Schneider, Julia Schmidt, Marie Luisa Mulders, Daphne GJC Haagmans, Bart L van der Veer, Bas van den Brink, Sharon Wijsman, Lisa Goderski, Gabriel Romette, Jean-Louis Ellis, Joanna Zambon, Maria Peiris, Malik Goossens, Herman Reusken, Chantal Koopmans, Marion PG Drosten, Christian Euro Surveill Research 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. European Centre for Disease Prevention and Control (ECDC) 2020-01-23 /pmc/articles/PMC6988269/ /pubmed/31992387 http://dx.doi.org/10.2807/1560-7917.ES.2020.25.3.2000045 Text en This article is copyright of the authors or their affiliated institutions, 2020. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.
spellingShingle Research
Corman, Victor M
Landt, Olfert
Kaiser, Marco
Molenkamp, Richard
Meijer, Adam
Chu, Daniel KW
Bleicker, Tobias
Brünink, Sebastian
Schneider, Julia
Schmidt, Marie Luisa
Mulders, Daphne GJC
Haagmans, Bart L
van der Veer, Bas
van den Brink, Sharon
Wijsman, Lisa
Goderski, Gabriel
Romette, Jean-Louis
Ellis, Joanna
Zambon, Maria
Peiris, Malik
Goossens, Herman
Reusken, Chantal
Koopmans, Marion PG
Drosten, Christian
Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
title Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
title_full Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
title_fullStr Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
title_full_unstemmed Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
title_short Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
title_sort detection of 2019 novel coronavirus (2019-ncov) by real-time rt-pcr
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988269/
https://www.ncbi.nlm.nih.gov/pubmed/31992387
http://dx.doi.org/10.2807/1560-7917.ES.2020.25.3.2000045
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