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Assessing sensitivity and reproducibility of RT-ddPCR and RT-qPCR for the quantification of SARS-CoV-2 in wastewater.
Ciesielski, Mark; Blackwood, Denene; Clerkin, Thomas; Gonzalez, Raul; Thompson, Hannah; Larson, Allison; Noble, Rachel.
  • Ciesielski M; Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina, United States.
  • Blackwood D; Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina, United States.
  • Clerkin T; Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina, United States.
  • Gonzalez R; Hampton Roads Sanitation District, Virginia Beach, Virginia, United States.
  • Thompson H; Hampton Roads Sanitation District, Virginia Beach, Virginia, United States.
  • Larson A; Hampton Roads Sanitation District, Virginia Beach, Virginia, United States.
  • Noble R; Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina, United States. Electronic address: rtnoble@email.unc.edu.
J Virol Methods ; 297: 114230, 2021 11.
Article in English | MEDLINE | ID: covidwho-1305288
ABSTRACT
Throughout the COVID-19 global pandemic there has been significant interest and investment in using Wastewater-Based Epidemiology (WBE) for surveillance of viral pathogen presence and infections at the community level. There has been a push for widescale implementation of standardized protocols to quantify viral loads in a range of wastewater systems. To address concerns regarding sensitivity, limits of quantification, and large-scale reproducibility, a comparison of two similar workflows using RT-qPCR and RT-ddPCR was conducted. Sixty raw wastewater influent samples were acquired from nine distinct wastewater treatment plants (WWTP's) served by the Hampton Roads Sanitation District (HRSD, Virginia Beach, Virginia) over a 6-month period beginning March 9th, 2020. Common reagents, controls, master mixes and nucleic acid extracts were shared between two individual processing groups based out of HRSD and the UNC Chapel Hill Institute of Marine Sciences (IMS, Morehead City, North Carolina). Samples were analyzed in parallel using One-Step RT-qPCR and One-Step RT-ddPCR with Nucleocapsid Protein 2 (N2) specific primers and probe. Influent SARS-CoV-2 N2 concentrations steadily increased over time spanning a range from non-detectable to 2.13E + 05 copies/L. Systematic dilution of the extracts indicated that inhibitory components in the wastewater matrices did not significantly impede the detection of a positive N2 signal for either workflow. The RT-ddPCR workflow had a greater analytical sensitivity with a lower Limit of Detection (LOD) at 0.066 copies/µl of template compared to RT-qPCR with a calculated LOD of 12.0 copies/µL of template. Interlaboratory comparisons using non-parametric correlation analysis demonstrated that there was a strong, significant, positive correlation between split extracts when employing RT-ddPCR for analysis with a ρ value of 0.86.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Randomized controlled trials / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J Virol Methods Year: 2021 Document Type: Article Affiliation country: J.jviromet.2021.114230

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Randomized controlled trials / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J Virol Methods Year: 2021 Document Type: Article Affiliation country: J.jviromet.2021.114230