
Water Research, Journal Year: 2024, Volume and Issue: 267, P. 122532 - 122532
Published: Sept. 26, 2024
Language: Английский
Water Research, Journal Year: 2024, Volume and Issue: 267, P. 122532 - 122532
Published: Sept. 26, 2024
Language: Английский
medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 28, 2024
The COVID-19 pandemic has underscored the importance of virus surveillance in public health and wastewater-based epidemiology (WBE) emerged as a non-invasive, cost-effective method for monitoring SARS-CoV-2 its variants at community level. Unfortunately, current variant methods depend heavily on genomic databases with data derived from clinical samples, which can become less sensitive representative testing sequencing efforts decline. In this paper, we introduce HERCULES (High-throughput Epidemiological Reconstruction Clustering Uncovering Lineages Environmental SARS-CoV-2), an unsupervised, database-independent that uses long-read single 1 Kb fragment Spike gene. identifies quantifies mutations lineages without requiring database-guided deconvolution, enhancing detection novel variants. We evaluated Norwegian wastewater samples collected July 2022 to October 2023 part national pilot WBE SARS-CoV-2. Strong correlations were observed between sample terms prevalence lineages. Furthermore, found trends identified one week earlier than data. Our results demonstrate HERCULES' capability identify new before their providing early warnings potential outbreaks. methodology described paper is easily adaptable other pathogens, offering versatile tool environmental emerging pathogens.
Language: Английский
Citations
0Water Research, Journal Year: 2024, Volume and Issue: 267, P. 122532 - 122532
Published: Sept. 26, 2024
Language: Английский
Citations
0