» Articles » PMID: 37228686

Evaluation of Low-cost SARS-CoV-2 RNA Purification Methods for Viral Quantification by RT-qPCR and Next-generation Sequencing Analysis: Implications for Wider Wastewater-based Epidemiology Adoption

Abstract

Based Epidemiology (WBE) consists of quantifying biomarkers in sewerage systems to derive real-time information on the health and/or lifestyle of the contributing population. WBE usefulness was vastly demonstrated in the context of the COVID-19 pandemic. Many methods for SARS-CoV-2 RNA determination in wastewater were devised, which vary in cost, infrastructure requirements and sensitivity. For most developing countries, implementing WBE for viral outbreaks, such as that of SARS-CoV-2, proved challenging due to budget, reagent availability and infrastructure constraints. In this study, we assessed low-cost methods for SARS-CoV-2 RNA quantification by RT-qPCR, and performed variant identification by NGS in wastewater samples. Results showed that the effect of adjusting pH to 4 and/or adding MgCl (25 mM) was negligible when using the adsorption-elution method, as well as basal physicochemical parameters in the sample. In addition, results supported the standardized use of linear rather than plasmid DNA for a more accurate viral RT-qPCR estimation. The modified TRIzol-based purification method in this study yielded comparable RT-qPCR estimation to a column-based approach, but provided better NGS results, suggesting that column-based purification for viral analysis should be revised. Overall, this work provides evaluation of a robust, sensitive and cost-effective method for SARS-CoV-2 RNA analysis that could be implemented for other viruses, for a wider WEB adoption.

Citing Articles

Bioinformatics-based screening tool identifies a wide variety of human and zoonotic viruses in Trujillo-Peru wastewater.

Miyani B, Li Y, Guzman H, Briceno R, Vieyra S, Hinojosa R One Health. 2024; 18:100756.

PMID: 38798735 PMC: 11127556. DOI: 10.1016/j.onehlt.2024.100756.


Identifying spatiotemporal trends of SARS-CoV-2 RNA in wastewater: from the perspective of upstream and downstream wastewater-based epidemiology (WBE).

Phuc-Hanh Tran D, You B, Liu C, Chen Y, Wang Y, Chung S Environ Sci Pollut Res Int. 2024; 31(8):11576-11590.

PMID: 38221556 DOI: 10.1007/s11356-023-31769-x.

References
1.
Chomczynski P, Mackey K . Short technical reports. Modification of the TRI reagent procedure for isolation of RNA from polysaccharide- and proteoglycan-rich sources. Biotechniques. 1995; 19(6):942-5. View

2.
Haak L, Delic B, Li L, Guarin T, Mazurowski L, Dastjerdi N . Spatial and temporal variability and data bias in wastewater surveillance of SARS-CoV-2 in a sewer system. Sci Total Environ. 2021; 805:150390. PMC: 8445773. DOI: 10.1016/j.scitotenv.2021.150390. View

3.
Bivins A, Kaya D, Bibby K, Simpson S, Bustin S, Shanks O . Variability in RT-qPCR assay parameters indicates unreliable SARS-CoV-2 RNA quantification for wastewater surveillance. Water Res. 2021; 203:117516. PMC: 8341816. DOI: 10.1016/j.watres.2021.117516. View

4.
Giraud-Billoud M, Cuervo P, Altamirano J, Pizarro M, Aranibar J, Catapano A . Monitoring of SARS-CoV-2 RNA in wastewater as an epidemiological surveillance tool in Mendoza, Argentina. Sci Total Environ. 2021; 796:148887. PMC: 8426053. DOI: 10.1016/j.scitotenv.2021.148887. View

5.
Adhikari S, Halden R . Opportunities and limits of wastewater-based epidemiology for tracking global health and attainment of UN sustainable development goals. Environ Int. 2022; 163:107217. PMC: 9815123. DOI: 10.1016/j.envint.2022.107217. View