Your browser doesn't support javascript.
Coronavirus discovery by metagenomic sequencing: a tool for pandemic preparedness.
Carbo, Ellen C; Sidorov, Igor A; Zevenhoven-Dobbe, Jessika C; Snijder, Eric J; Claas, Eric C; Laros, Jeroen F J; Kroes, Aloys C M; de Vries, Jutte J C.
  • Carbo EC; Department of Medical Microbiology, Leiden University Medical Center (LUMC), Leiden, the Netherlands. Electronic address: e.c.carbo@lumc.nl.
  • Sidorov IA; Department of Medical Microbiology, Leiden University Medical Center (LUMC), Leiden, the Netherlands.
  • Zevenhoven-Dobbe JC; Department of Medical Microbiology, Leiden University Medical Center (LUMC), Leiden, the Netherlands.
  • Snijder EJ; Department of Medical Microbiology, Leiden University Medical Center (LUMC), Leiden, the Netherlands.
  • Claas EC; Department of Medical Microbiology, Leiden University Medical Center (LUMC), Leiden, the Netherlands.
  • Laros JFJ; Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, the Netherlands; Department of Clinical Genetics, Leiden University Medical Center (LUMC), Leiden, the Netherlands; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
  • Kroes ACM; Department of Medical Microbiology, Leiden University Medical Center (LUMC), Leiden, the Netherlands.
  • de Vries JJC; Department of Medical Microbiology, Leiden University Medical Center (LUMC), Leiden, the Netherlands.
J Clin Virol ; 131: 104594, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-726610
ABSTRACT

INTRODUCTION:

The SARS-CoV-2 pandemic of 2020 is a prime example of the omnipresent threat of emerging viruses that can infect humans. A protocol for the identification of novel coronaviruses by viral metagenomic sequencing in diagnostic laboratories may contribute to pandemic preparedness.

AIM:

The aim of this study is to validate a metagenomic virus discovery protocol as a tool for coronavirus pandemic preparedness.

METHODS:

The performance of a viral metagenomic protocol in a clinical setting for the identification of novel coronaviruses was tested using clinical samples containing SARS-CoV-2, SARS-CoV, and MERS-CoV, in combination with databases generated to contain only viruses of before the discovery dates of these coronaviruses, to mimic virus discovery.

RESULTS:

Classification of NGS reads using Centrifuge and Genome Detective resulted in assignment of the reads to the closest relatives of the emerging coronaviruses. Low nucleotide and amino acid identity (81% and 84%, respectively, for SARS-CoV-2) in combination with up to 98% genome coverage were indicative for a related, novel coronavirus. Capture probes targeting vertebrate viruses, designed in 2015, enhanced both sequencing depth and coverage of the SARS-CoV-2 genome, the latter increasing from 71% to 98%.

CONCLUSION:

The model used for simulation of virus discovery enabled validation of the metagenomic sequencing protocol. The metagenomic protocol with virus probes designed before the pandemic, can assist the detection and identification of novel coronaviruses directly in clinical samples.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Genome, Viral / Coronavirus Infections / Metagenomics / High-Throughput Nucleotide Sequencing Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: J Clin Virol Journal subject: Virology Year: 2020 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Genome, Viral / Coronavirus Infections / Metagenomics / High-Throughput Nucleotide Sequencing Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: J Clin Virol Journal subject: Virology Year: 2020 Document Type: Article