Quantitative analysis of SARS-CoV-2 RNA from wastewater solids in communities with low COVID-19 incidence and prevalence

Autor: Xu Zhang, Jian Jun Jia, Elisabeth Mercier, Marc-André Langlois, Nafisa Neault, Ilya Alexandrov, Tommy Alain, Alex MacKenzie, Danika Montpetit, Janice Mayne, Patrick M. D'Aoust, Tyson E. Graber, Aiman Tariq Baig, Mark R. Servos, Malcolm MacKenzie, Robert Delatolla, Daniel Figeys
Rok vydání: 2020
Předmět:
Veterinary medicine
Pepper mild mottle virus
Environmental Engineering
Coronavirus disease 2019 (COVID-19)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
0208 environmental biotechnology
Pneumonia
Viral
National capital region
02 engineering and technology
010501 environmental sciences
Biology
Wastewater
01 natural sciences
18S ribosomal RNA
Article
Primary clarified sludge
Betacoronavirus
Residence Characteristics
RNA
Ribosomal
16S
Prevalence
Humans
Solids
Waste Management and Disposal
Pandemics
0105 earth and related environmental sciences
Water Science and Technology
Civil and Structural Engineering
SARS-CoV-2
Ecological Modeling
Incidence
RNA
COVID-19
16S ribosomal RNA
biology.organism_classification
Pollution
020801 environmental engineering
Virus
Ecological Modelling
Coronavirus Infections
Zdroj: Water Research
ISSN: 1879-2448
Popis: Highlights • RT-ddPCR is more sensitive to inhibitors than RT-qPCR for primary clarified sludge. • Primary clarified sludge has elevated frequency of SARS-CoV-2 RNA detection. • Primary clarified sludge allows detection of RNA during low COVID-19 incidence. • PMMoV normalization of RNA data reduces noise and increases precision. • PMMoV normalization of RNA shows strongest correlation to epidemiological metrics.
In the absence of an effective vaccine to prevent COVID-19 it is important to be able to track community infections to inform public health interventions aimed at reducing the spread and therefore reduce pressures on health-care, improve health outcomes and reduce economic uncertainty. Wastewater surveillance has rapidly emerged as a potential tool to effectively monitor community infections through measuring trends of RNA signal in wastewater systems. In this study SARS-CoV-2 viral RNA N1 and N2 gene regions are quantified in solids collected from influent post grit solids (PGS) and primary clarified sludge (PCS) in two water resource recovery facilities (WRRF) serving Canada's national capital region, i.e., the City of Ottawa, ON (pop. ≈ 1.1M) and the City of Gatineau, QC (pop. ≈ 280K). PCS samples show signal inhibition using RT-ddPCR compared to RT-qPCR, with PGS samples showing similar quantifiable concentrations of RNA using both assays. RT-qPCR shows higher frequency of detection of N1 and N2 gene regions in PCS (92.7, 90.6%, n = 6) as compared to PGS samples (79.2, 82.3%, n = 5). Sampling of PCS may therefore be an effective approach for SARS-CoV-2 viral quantification, especially during periods of declining and low COVID-19 incidence in the community. The pepper mild mottle virus (PMMoV) is determined to have a less variable RNA signal in PCS over a three month period for two WRRFs, regardless of environmental conditions, compared to Bacteroides 16S rRNA or human 18S rRNA, making PMMoV a potentially useful biomarker for normalization of SARS-CoV-2 signal. PMMoV-normalized PCS RNA signal from WRRFs of two cities correlated with the regional public health epidemiological metrics, identifying PCS normalized to a fecal indicator (PMMoV) as a potentially effective tool for monitoring trends during decreasing and low-incidence of infection of SARS-Cov-2 in communities.
Graphical abstract Image, graphical abstract
Databáze: OpenAIRE
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