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Review
. 2022 Jan 20:805:149877.
doi: 10.1016/j.scitotenv.2021.149877. Epub 2021 Aug 25.

Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance

Warish Ahmed  1 Stuart L Simpson  2 Paul M Bertsch  3 Kyle Bibby  4 Aaron Bivins  4 Linda L Blackall  5 Sílvia Bofill-Mas  6 Albert Bosch  7 João Brandão  8 Phil M Choi  9 Mark Ciesielski  10 Erica Donner  11 Nishita D'Souza  12 Andreas H Farnleitner  13 Daniel Gerrity  14 Raul Gonzalez  15 John F Griffith  16 Pradip Gyawali  17 Charles N Haas  18 Kerry A Hamilton  19 Hapuarachchige Chanditha Hapuarachchi  20 Valerie J Harwood  21 Rehnuma Haque  22 Greg Jackson  23 Stuart J Khan  24 Wesaal Khan  25 Masaaki Kitajima  26 Asja Korajkic  27 Giuseppina La Rosa  28 Blythe A Layton  29 Erin Lipp  30 Sandra L McLellan  31 Brian McMinn  27 Gertjan Medema  32 Suzanne Metcalfe  3 Wim G Meijer  33 Jochen F Mueller  34 Heather Murphy  35 Coleen C Naughton  36 Rachel T Noble  10 Sudhi Payyappat  37 Susan Petterson  38 Tarja Pitkänen  39 Veronica B Rajal  40 Brandon Reyneke  25 Fernando A Roman Jr  36 Joan B Rose  12 Marta Rusiñol  41 Michael J Sadowsky  42 Laura Sala-Comorera  33 Yin Xiang Setoh  20 Samendra P Sherchan  43 Kwanrawee Sirikanchana  44 Wendy Smith  3 Joshua A Steele  16 Rosalie Sabburg  45 Erin M Symonds  46 Phong Thai  34 Kevin V Thomas  34 Josh Tynan  34 Simon Toze  3 Janelle Thompson  47 Andy S Whiteley  48 Judith Chui Ching Wong  20 Daisuke Sano  49 Stefan Wuertz  50 Irene Xagoraraki  51 Qian Zhang  42 Amity G Zimmer-Faust  16 Orin C Shanks  27
Affiliations
Review

Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance

Warish Ahmed et al. Sci Total Environ. .

Abstract

Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) in wastewater can potentially provide an early warning signal of COVID-19 infections in a community. The capacity of the world's environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA in wastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularly when the incidence of SARS-CoV-2 in wastewater is low. Corrective and confirmatory actions must be in place for inconclusive results or results diverging from current trends (e.g., initial onset or reemergence of COVID-19 in a community). It is also prudent to perform interlaboratory comparisons to ensure results' reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases.

Keywords: COVID-19; False negative; False positive; RT-PCR; SARS-CoV-2; Surveillance; Wastewater.

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Conflict of interest statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Unlabelled Image
Graphical abstract
Fig. 1
Fig. 1
A conceptual diagram of a typical sewer catchment with sampling points and analytical workflow of SARS-CoV-2 RNA surveillance in wastewater; MH: Maintenance hole.
Fig. 2
Fig. 2
Under low-prevalence conditions, some random sewage volumes (orange ellipses and circles) contain detectable SARS-CoV-2 RNA, while others (brown matrix) do not.
Fig. 3
Fig. 3
a: Probability of a single small grab sample (relative to SARS-CoV-2 dispersion volume) being negative, assuming a sewer catchment population of 100,000 people, an average dry weather flow of 0.2 m3/person/day, and dispersion volumes of 1 m3/day, 10 m3/day, or 100 m3/day. 3b: Probability of all samples being negative for n = 1, 10, 100, or 1000 samples.
Fig. 4
Fig. 4
SARS-CoV-2 concentrations measured by RT-PCR in wastewater samples that were untreated (gray bars) or pasteurized (salmon bars). The mean concentration in pasteurized samples was censored below the detection limit; values that were detected but not quantifiable (DNQ) were replaced with half the limit of quantification for statistical analysis. Samples in which the target was not detected (ND) were assigned a value of 1.0. Data were obtained partially from Steele et al. (2021).
Fig. 5
Fig. 5
Recovery (mean ± SD) of seeded SARS-CoV-2 RNA from 10 wastewater treatment plants (WWTP A-J) using a concentrating pipette Select™ (CP Select™). Each WWTP was sampled three times. Data were obtained partially from Ahmed et al. (2021).
Fig. 6
Fig. 6
Estimated method limit of detection (MLOD) according to the final volume of concentrated samples. The MLOD was calculated assuming 323 GC as the minimum number detected for a single RT-qPCR reaction using CDC N1 assay and a mean volume of viral concentrate of 300 μL for the CP Select™, 500 μL for SMF and 240 μL for Centricon®. A 100% recovery was assumed for the entire concentration, RNA extraction and detection process. SMF: skimmed milk flocculation. Data obtained partially from Forés et al. (2021).
Fig. 7
Fig. 7
Quantitation cycle (Cq) values of the US CDC N1 and N2 RT-PCR assays determined using the Australian National Measurement Institute (NMI) SARS-CoV-2 calibrant comprising six gravimetric dilutions at 600, 245, 60, 18.5, 6.5, and 2 GC/5 μL of RNA. The Bio-Rad CFX96 platform was used for the RT-PCR amplification of the N1 and N2 assays.
Fig. 8
Fig. 8
SARS-CoV-2 (CDC N2) concentrations over time in gene copies (GC)/mL from seven distinct wastewater treatment plants (WWTPs) servicing in south–east Virginia. The WWTPs serve catchment populations ranging from 69,509 to 343,016 individuals. Weekly sampling events began May 14, 2020 and continued through July 14, 2020. WWTPs are identified first by the arbitrary facility number, followed by the corresponding sample collection event (e.g., WWTP-5-3 would refer to the third collection event for WWTP 5). Data was partially obtained from Ciesielski et al. (2021).

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