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A Novel High-Throughput Nanopore-Sequencing-Based Strategy for Rapid and Automated S-Protein Typing of SARS-CoV-2 Variants.
Wagner, Gabriel E; Totaro, Massimo G; Volland, André; Lipp, Michaela; Saiger, Sabine; Lichtenegger, Sabine; Forstner, Patrick; von Laer, Dorothee; Oberdorfer, Gustav; Steinmetz, Ivo.
  • Wagner GE; Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.
  • Totaro MG; Department of Biochemistry, Graz University of Technology, 8010 Graz, Austria.
  • Volland A; Department of Hygiene, Microbiology and Public Health, Institute of Virology, Medical University of Innsbruck, 6020 Innsbruck, Austria.
  • Lipp M; Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.
  • Saiger S; Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.
  • Lichtenegger S; Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.
  • Forstner P; Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.
  • von Laer D; Department of Hygiene, Microbiology and Public Health, Institute of Virology, Medical University of Innsbruck, 6020 Innsbruck, Austria.
  • Oberdorfer G; Department of Biochemistry, Graz University of Technology, 8010 Graz, Austria.
  • Steinmetz I; Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.
Viruses ; 13(12)2021 12 19.
Article in English | MEDLINE | ID: covidwho-1580420
ABSTRACT
Rapid molecular surveillance of SARS-CoV-2 S-protein variants leading to immune escape and/or increased infectivity is of utmost importance. Among global bottlenecks for variant monitoring in diagnostic settings are sequencing and bioinformatics capacities. In this study, we aimed to establish a rapid and user-friendly protocol for high-throughput S-gene sequencing and subsequent automated identification of variants. We designed two new primer pairs to amplify only the immunodominant part of the S-gene for nanopore sequencing. Furthermore, we developed an automated "S-Protein-Typer" tool that analyzes and reports S-protein mutations on the amino acid level including a variant of concern indicator. Validation of our primer panel using SARS-CoV-2-positive respiratory specimens covering a broad Ct range showed successful amplification for 29/30 samples. Restriction to the region of interest freed sequencing capacity by a factor of 12-13, compared with whole-genome sequencing. Using either the MinION or Flongle flow cell, our sequencing strategy reduced the time required to identify SARS-CoV-2 variants accordingly. The S-Protein-Typer tool identified all mutations correctly when challenged with our sequenced samples and 50 deposited sequences covering all VOCs (December 2021). Our proposed S-protein variant screening offers a simple, more rapid, and low-cost entry into NGS-based SARS-CoV-2 analysis, compared with current whole-genome approaches.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: High-Throughput Nucleotide Sequencing / Spike Glycoprotein, Coronavirus / Nanopore Sequencing / SARS-CoV-2 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: V13122548

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Full text: Available Collection: International databases Database: MEDLINE Main subject: High-Throughput Nucleotide Sequencing / Spike Glycoprotein, Coronavirus / Nanopore Sequencing / SARS-CoV-2 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: V13122548