| Literature DB >> 33759506 |
Oscar N Whitney1, Lauren C Kennedy2, Vinson B Fan1, Adrian Hinkle2, Rose Kantor2, Hannah Greenwald2, Alexander Crits-Christoph3,4, Basem Al-Shayeb3,4, Mira Chaplin2, Anna C Maurer1, Robert Tjian1,5, Kara L Nelson2,4.
Abstract
Wastewater-based epidemiology is an emerging tool to monitor COVID-19 infection levels by measuring the concentration of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater. There remains a need to improve wastewater RNA extraction methods' sensitivity, speed, and reduce reliance on often expensive commercial reagents to make wastewater-based epidemiology more accessible. We present a kit-free wastewater RNA extraction method, titled "Sewage, Salt, Silica and SARS-CoV-2" (4S), that employs the abundant and affordable reagents sodium chloride (NaCl), ethanol, and silica RNA capture matrices to recover sixfold more SARS-CoV-2 RNA from wastewater than an existing ultrafiltration-based method. The 4S method concurrently recovered pepper mild mottle virus (PMMoV) and human 18S ribosomal subunit rRNA, which have been proposed as fecal concentration controls. The SARS-CoV-2 RNA concentrations measured in three sewersheds corresponded to the relative prevalence of COVID-19 infection determined via clinical testing. Lastly, controlled experiments indicate that the 4S method prevented RNA degradation during storage of wastewater samples, was compatible with heat pasteurization, and in our experience, 20 samples can be processed by one lab technician in approximately 2 h. Overall, the 4S method is promising for effective, economical, and accessible wastewater-based epidemiology for SARS-CoV-2, providing another tool to fight the global pandemic.Entities:
Year: 2021 PMID: 33759506 PMCID: PMC8009096 DOI: 10.1021/acs.est.0c08129
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 9.028
Figure 4Assessment of RT-qPCR assay inhibition of the SARS-CoV-2 N1, PMMoV and BCoV assays via the “spike and dilute” method for different volumes of 4S-WB1 and 4S-WB2 (volumes reported at the top of each panel). Sample dilutions shown are 1 ×, 5 ×, 10 ×, and 20 ×. The green line with circular points represents theoretically expected increase in Ct due to sample dilution, and the blue line with triangular points indicates actual increase in Ct with sample dilution. The green band indicates +/– 1 Ct tolerance range around the expected Ct values, due to variability. An increase in the measured Ct that is lower than the expected increase was interpreted as inhibition. The RNA sample dilution factor is indicated on the x-axis.
Figure 1Comparison of SARS-CoV-2, PMMoV, and BCoV spike-in assay signals in gene copies per liter between the 4S-column method with and without heat inactivation and ultrafiltration. “n” represents the number of wastewater biological replicates per condition. Bars are plotted at the arithmetic mean of biological replicates and error bars represent the variation associated with biological triplicates as quantified by the arithmetic standard deviation of the biological triplicates.
Figure 2(A) New COVID-19 clinical cases per day per 100,000 population in three areas served by the distinct A, N, and S wastewater interceptors over 6 days from 7/15 to 7/21. “n” represents the number of days during which clinical case data were collected. (B) Comparison of SARS-CoV-2 N1 assay represented as SARS-CoV-2 gene copies per liter normalized to PMMoV gene copies per liter between interceptors serving the A, N, and S East Bay areas. “n” represents the number of biological replicates (the wastewater was collected on a single day in the 6-day window). The Kruskal-Wallis test followed by Dunn’s test was performed to determine significance, where * = p < 0.05 and *** = p < 0.001.
Figure 3Effect of lysis salt addition prior to wastewater storage on SARS-CoV-2 N1, PMMoV, and 18S rRNA assay signals. “n” represents the number of storage and extraction biological replicates per condition. Bars are plotted at the arithmetic mean of biological triplicates and error bars represent the variation associated with biological triplicates as quantified by the arithmetic standard deviation of the biological triplicates.