Name
Viral metagenomics on urban wastewater allows genomic surveillance of rotaviruses and other viral pathogens
Presenter
Mustafa Karatas, KU Leuven
Co-Author(s)
Mustafa Karatas - Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
Mandy Bloemen - Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
Jill Swinnen - Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
Lila Close - Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
Marc Van Ranst - Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium (1), Department of Laboratory Medicine, University Hospitals of Leuven, Leuven, Belgium (2)
Elke Wollants - Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
Jelle Matthijnssens - Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
Abstract Category
Epidemiology, Evolution, and Diversity
Abstract
Aim & Introduction
In this study, we aimed to use urban wastewater to improve rotavirus genomic surveillance, which mostly relies on patient-based surveillance.
Methods
Between April 2022 and November 2024, wastewater samples from Leuven, Belgium were collected over two rotavirus seasons. We used hybrid-capture and metagenomic sequencing targeting over 3,000 virus species and analyzed the data with EsViritu and competitive mapping against all known rotavirus genotypes per segment.
Results
From 122 samples, rotavirus A reads were found in every sample, correlating strongly with national clinical cases over two years (r=0.46, p
In this study, we aimed to use urban wastewater to improve rotavirus genomic surveillance, which mostly relies on patient-based surveillance.
Methods
Between April 2022 and November 2024, wastewater samples from Leuven, Belgium were collected over two rotavirus seasons. We used hybrid-capture and metagenomic sequencing targeting over 3,000 virus species and analyzed the data with EsViritu and competitive mapping against all known rotavirus genotypes per segment.
Results
From 122 samples, rotavirus A reads were found in every sample, correlating strongly with national clinical cases over two years (r=0.46, p