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  5. Development and validation of a duplex RT-qPCR assay for norovirus quantification in wastewater samples

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Article
English
2023

Development and validation of a duplex RT-qPCR assay for norovirus quantification in wastewater samples

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English
2023
Journal of Virological Methods
Vol 321
DOI: 10.1016/j.jviromet.2023.114804

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Davey L Jones
Davey L Jones

Bangor University

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Natasha Alex-Sanders
Nick Woodhall
Kata Farkas
+3 more

Abstract

Norovirus (NoV) is a highly contagious enteric virus that causes widespread outbreaks and a substantial number of deaths across communities. As clinical surveillance is often insufficient, wastewater-based epidemiology (WBE) may provide novel pathways of tracking outbreaks. To utilise WBE, it is important to use accurate and sensitive methods for viral quantification. In this study, we developed a one-step duplex RT-qPCR assay to simultaneously test the two main human pathogenic NoV genogroups, GI and GII, in wastewater samples. The assay had low limits of detection (LOD), namely 0.52 genome copies (gc)/µl for NoVGI and 1.37 gc/µl for NoVGII. No significant concentration-dependent interactions were noted for both NoVGI and for NoVGII when the two targets were mixed at different concentrations in the samples. When tested on wastewater-derived RNA eluents, no significant difference between duplex and singleplex concentrations were found for either target. Low levels of inhibition (up to 32 %) were noted due to organic matter present in the wastewater extracts. From these results we argue that the duplex RT-qPCR assay developed enables the sensitive detection of both NoVGI and NoVGII in wastewater-derived RNA eluents, in a time and cost-effective way and may be used for surveillance to monitor public and environmental health.

How to cite this publication

Natasha Alex-Sanders, Nick Woodhall, Kata Farkas, George A. Scott, Davey L Jones, David I. Walker (2023). Development and validation of a duplex RT-qPCR assay for norovirus quantification in wastewater samples. Journal of Virological Methods, 321, pp. 114804-114804, DOI: 10.1016/j.jviromet.2023.114804.

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Publication Details

Type

Article

Year

2023

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

Journal of Virological Methods

DOI

10.1016/j.jviromet.2023.114804

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