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
2020-01-23
SCID: 54.1/tyn5vtjd
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2019-nCoV detectionSARS-CoV discriminationdiagnostic workflowreal-time RT-PCRsynthetic nucleic acid technology
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Abstract (AI)
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.
Key Findings
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.
Research Object
2019 novel coronavirus (2019-nCoV) in human respiratory clinical specimens
Research Subject
Reliable real-time RT-PCR detection and discrimination of 2019-nCoV from SARS-CoV, including assay exclusivity across other human respiratory viruses
Publication Details
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2020-01-23
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