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Rapid Automated Screening for SARS-CoV-2 B.1.617 Lineage Variants (Delta/Kappa) through a Versatile Toolset of qPCR-Based SNP Detection.
Nörz, Dominik; Grunwald, Moritz; Tang, Hui Ting; Olearo, Flaminia; Günther, Thomas; Robitaille, Alexis; Fischer, Nicole; Grundhoff, Adam; Aepfelbacher, Martin; Pfefferle, Susanne; Lütgehetmann, Marc.
  • Nörz D; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
  • Grunwald M; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
  • Tang HT; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
  • Olearo F; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
  • Günther T; Virus Genomics, Leibniz Institute for Experimental Virology (HPI), 20251 Hamburg, Germany.
  • Robitaille A; Virus Genomics, Leibniz Institute for Experimental Virology (HPI), 20251 Hamburg, Germany.
  • Fischer N; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
  • Grundhoff A; Virus Genomics, Leibniz Institute for Experimental Virology (HPI), 20251 Hamburg, Germany.
  • Aepfelbacher M; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
  • Pfefferle S; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
  • Lütgehetmann M; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany.
Diagnostics (Basel) ; 11(10)2021 Oct 01.
Article in English | MEDLINE | ID: covidwho-1444133
ABSTRACT

BACKGROUND:

The recent emergence of distinct and highly successful SARS-CoV-2 lineages has substantial implications for individual patients and public health measures. While next-generation-sequencing is routinely performed for surveillance purposes, RT-qPCR can be used to rapidly rule-in or rule-out relevant variants, e.g., in outbreak scenarios. The objective of this study was to create an adaptable and comprehensive toolset for multiplexed Spike-gene SNP detection, which was applied to screen for SARS-CoV-2 B.1.617 lineage variants.

METHODS:

We created a broad set of single nucleotide polymorphism (SNP)-assays including del-Y144/145, E484K, E484Q, P681H, P681R, L452R, and V1176F based on a highly specific multi-LNA (locked nucleic acid)-probe design to maximize mismatch discrimination. As proof-of-concept, a multiplex-test was compiled and validated (SCOV2-617VOC-UCT) including SNP-detection for L452R, P681R, E484K, and E484Q to provide rapid screening capabilities for the novel B.1.617 lineages.

RESULTS:

For the multiplex-test (SCOV2-617VOC-UCT), the analytic lower limit of detection was determined as 182 IU/mL for L452R, 144 IU/mL for P681R, and 79 IU/mL for E484Q. A total of 233 clinical samples were tested with the assay, including various on-target and off-target sequences. All SNPs (179/179 positive) were correctly identified as determined by SARS-CoV-2 whole genome sequencing.

CONCLUSION:

The recurrence of SNP locations and flexibility of methodology presented in this study allows for rapid adaptation to current and future variants. Furthermore, the ability to multiplex various SNP-assays into screening panels improves speed and efficiency for variant testing. We show 100% concordance with whole genome sequencing for a B.1.617.2 screening assay on the cobas6800 high-throughput system.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Topics: Variants Language: English Year: 2021 Document Type: Article Affiliation country: Diagnostics11101818

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Topics: Variants Language: English Year: 2021 Document Type: Article Affiliation country: Diagnostics11101818