# Real-time quantitative reverse transcription polymerase chain reaction detection of SARS-CoV-2 Delta variant in Canadian wastewater

**Authors:** Shelley Peterson, Jade Daigle, Codey Dueck, Audra Nagasawa, Michael Mulvey, Chand S Mangat

PMC · DOI: 10.14745/ccdr.v49i05a07 · Canada Communicable Disease Report · 2023-05-01

## TL;DR

This study developed a cost-effective test to detect the SARS-CoV-2 Delta variant in wastewater, helping track its spread across Canada.

## Contribution

A novel RT-qPCR assay for detecting the Delta variant's D377Y mutation in wastewater is introduced.

## Key findings

- The Delta variant was detected in all major Canadian cities and remote regions.
- The assay showed sufficient sensitivity and specificity for wastewater surveillance.
- The method can be integrated into existing wastewater monitoring programs.

## Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern are associated with increased infectivity, severity, and mortality of coronavirus disease 2019 (COVID-19) and have been increasingly detected in clinical and wastewater surveillance in Canada and internationally. In this study, we present a real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) assay for detection of the N gene D377Y mutation associated with the SARS-CoV-2 Delta variant in wastewater.

Wastewater samples (n=980) were collected from six cities and 17 rural communities across Canada from July to November 2021 and screened for the D377Y mutation.

The Delta variant was detected in all major Canadian cities and northern remote regions, and half of the southern rural communities. The sensitivity and specificity of this assay were sufficient for detection and quantitation of the Delta variant in wastewater to aid in rapid population-level screening and surveillance.

This study demonstrates a novel cost-effective RT-qPCR assay for tracking the spread of the SARS-CoV-2 Delta variant. This rapid assay can be easily integrated into current wastewater surveillance programs to aid in population-level variant tracking.

## Linked entities

- **Genes:** N (Notch) [NCBI Gene 31293]
- **Diseases:** coronavirus disease 2019 (MONDO:0100096), SARS-CoV-2 (MONDO:0100096)

## Full-text entities

- **Genes:** N (nucleocapsid phosphoprotein) [NCBI Gene 43740575]
- **Diseases:** COVID-19 (MESH:D000086382)
- **Species:** Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]
- **Mutations:** D377Y

## Full text

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## Figures

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## References

28 references — full list in the complete paper: https://tomesphere.com/paper/PMC10898651/full.md

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Source: https://tomesphere.com/paper/PMC10898651