1. Monitoring the SARS-CoV-2 pandemic: screening algorithm with single nucleotide polymorphism detection for the rapid identification of established and emerging variants
- Author
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Veerle Matheeussen, Basil Britto Xavier, Katherine Loens, Herman Goossens, Christine Lammens, Hilde Jansens, Joachim C. Mertens, Jasmine Coppens, Sarah Vandamme, and Marie Le Mercier
- Subjects
Microbiology (medical) ,Concordance ,Single-nucleotide polymorphism ,Biology ,Polymerase Chain Reaction ,Polymorphism, Single Nucleotide ,Melting curve analysis ,law.invention ,law ,Multiplex polymerase chain reaction ,Humans ,SNP ,Pandemics ,Polymerase chain reaction ,Whole genome sequencing ,SARS-CoV-2 ,COVID-19 ,General Medicine ,Virology ,Infectious Diseases ,Mutation ,Spike Glycoprotein, Coronavirus ,Original Article ,Human medicine ,Multiplex Polymerase Chain Reaction ,Algorithms ,Kappa - Abstract
Objectives To evaluate a testing algorithm for the rapid identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants that includes the use of PCR-based targeted single nucleotide polymorphism (SNP) detection assays preceded by a multiplex PCR sensitive to S-Gene Target Failure (SGTF). Methods PCR SNP assays targeting SARS-CoV-2 S-gene mutations ΔH69–V70, L452R, E484K, N501Y, H655Y and P681R using melting curve analysis were performed on 567 samples in which SARS-CoV-2 viral RNA was detected by a multiplex PCR. Viral whole-genome sequencing (WGS) was performed to confirm the presence of SNPs and to identify the Pangolin lineage. Additionally, 1133 SARS-CoV-2 positive samples with SGTF were further assessed by WGS to determine the presence of ΔH69–V70. Results The N501Y-specific assay (n = 567) had an overall percentage agreement (OPA) of 98.5%. The ΔH69-V70-specific (n = 178) and E484K-specific (n = 401) assays had OPA of 96.6% and 99.7%, respectively. Assessment of H655Y (n = 139) yielded a 100.0% concordance when applied in the proposed algorithm. The L452R-specific (n = 67) and P681R-specific (n = 62) assays had an OPA of 98.2% and 98.1%, respectively. The proposed algorithm identified six variants of concern/interest (VOC/VOI)—Alpha (n = 149), Beta (n = 65), Gamma (n = 86), Delta (n = 49), Eta (n = 6), Kappa (n = 6)—and 205 non-VOC/VOI strains—including the variants under monitoring B.1.214.2 (n = 43) and B.1.1.318 (n = 18) and Epsilon (n = 1). An excellent concordance was observed for the identification of all SARS-CoV-2 lineages evaluated. Conclusions We present a flexible testing algorithm for the rapid detection of current and emerging SARS-CoV-2 VOC/VOIs, which can be easily adapted based on the local endemicity of specific variants.
- Published
- 2022