Article ; Online: SARS-CoV-2 multiplex RT-PCR to detect variants of concern (VOCs) in Malaysia, between January to May 2021
Journal of Virological Methods. 2022 Mar., v. 301 p.114462-
2022
Abstract: Emerging SARS-CoV-2 variants of concern (VOC) have been associated with enhanced transmissibility and immune escape. Next-generation sequencing (NGS) of the whole genome is the gold standard for variant identification for surveillance but is time- ... ...
Abstract | Emerging SARS-CoV-2 variants of concern (VOC) have been associated with enhanced transmissibility and immune escape. Next-generation sequencing (NGS) of the whole genome is the gold standard for variant identification for surveillance but is time-consuming and costly. Rapid and cost-effective assays that detect SARS-CoV-2 variants are needed. We evaluated Allplex SARS-CoV-2 Master Assay and Variants I Assay to detect HV69/70 deletion, Y144 deletion, E484K, N501Y, and P681H spike mutations in 248 positive samples collected in Kuala Lumpur, Malaysia, between January and May 2021. Spike variants were detected in 78/248 (31.5 %), comprising 60 VOC B.1.351 (beta) and 18 B.1.1.7 (alpha). With NGS as reference for 115 samples, the sensitivity for detecting the spike mutations was 98.7 % with the Master Assay and 100 % with the Variants I Assay. The emergence of beta variants correlated with increasing COVID-19 infections in Malaysia. The prevalence of alpha VOC and lineage B.1.466.2 was low. These assays detect mutations present in alpha, beta and gamma VOCs. Of the VOCs which have subsequently emerged, the assays should detect omicron (B.1.1.529) but not B.1.617.2 (delta). In conclusion, spike variant PCR assays can be used to rapidly monitor selected SARS-CoV-2 VOCs in resource-limited settings, but require updates as new variants emerge. |
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Keywords | COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; cost effectiveness ; genome ; monitoring ; Malaysia ; COVID-19 ; SARS-CoV-2 ; Next-generation sequencing ; RT-qPCR ; Variants of concern |
Language | English |
Dates of publication | 2022-03 |
Publishing place | Elsevier B.V. |
Document type | Article ; Online |
ZDB-ID | 8013-5 |
ISSN | 1879-0984 ; 0166-0934 |
ISSN (online) | 1879-0984 |
ISSN | 0166-0934 |
DOI | 10.1016/j.jviromet.2022.114462 |
Database | NAL-Catalogue (AGRICOLA) |
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