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Detection of SARS-CoV-2 B.1.1.529 (Omicron) variant by SYBR Green-based RT-qPCR. | LitMetric

AI Article Synopsis

  • The study focuses on the spread of the Omicron variant of COVID-19, emphasizing the need for quick and effective detection methods.
  • Researchers designed a low-cost and fast RT-qPCR technique using SYBR Green to identify specific mutations in the Omicron variant, rather than relying on expensive genomic sequencing.
  • Testing of 120 clinical samples confirmed the presence of these mutations and validated the new detection method, which could help contain the spread of the variant in areas where it is prevalent.

Article Abstract

The coronavirus disease 2019 (COVID-19) pandemic is unceasingly spreading across the globe, and recently a highly transmissible Omicron SARS-CoV-2 variant (B.1.1.529) has been discovered in South Africa and Botswana. Rapid identification of this variant is essential for pandemic assessment and containment. However, variant identification is mainly being performed using expensive and time-consuming genomic sequencing. In this study, we propose an alternative RT-qPCR approach for the detection of the Omicron BA.1 variant using a low-cost and rapid SYBR Green method. We have designed specific primers to confirm the deletion mutations in the spike (S Δ143-145) and the nucleocapsid (N Δ31-33) which are characteristics of this variant. For the evaluation, we used 120 clinical samples from patients with PCR-confirmed SARS-CoV-2 infections, and displaying an S-gene target failure (SGTF) when using TaqPath COVID-19 kit (Thermo Fisher Scientific, Waltham, USA) that included the ORF1ab, S, and N gene targets. Our results showed that all the 120 samples harbored S Δ143-145 and N Δ31-33, which was further confirmed by whole-genome sequencing of 10 samples, thereby validating our SYBR Green-based protocol. This protocol can be easily implemented to rapidly confirm the diagnosis of the Omicron BA.1 variant in COVID-19 patients and prevent its spread among populations, especially in countries with high prevalence of SGTF profile.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11055497PMC
http://dx.doi.org/10.1093/biomethods/bpae020DOI Listing

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