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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Centre for Disease Prevention and Control (ECDC)
2020
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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. |
format | Online Article Text |
id | pubmed-6988269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | European Centre for Disease Prevention and Control (ECDC) |
record_format | MEDLINE/PubMed |
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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