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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Sep 28, 2023
Date Accepted: May 30, 2024

The final, peer-reviewed published version of this preprint can be found here:

Comparison of Different Reverse Transcriptase–Polymerase Chain Reaction–Based Methods for Wastewater Surveillance of SARS-CoV-2: Exploratory Study

Länsivaara A, Lehto KM, Hyder R, Janhonen E, Lipponen A, Heikinheimo A, Pitkänen T, Oikarinen S, WastPan Study Group

Comparison of Different Reverse Transcriptase–Polymerase Chain Reaction–Based Methods for Wastewater Surveillance of SARS-CoV-2: Exploratory Study

JMIR Public Health Surveill 2024;10:e53175

DOI: 10.2196/53175

PMID: 39158943

PMCID: 11369532

Wastewater Surveillance of SARS-CoV-2: Comparison of Different RT-PCR Based Methods

  • Annika Länsivaara; 
  • Kirsi-Maarit Lehto; 
  • Rafiqul Hyder; 
  • Erja Janhonen; 
  • Anssi Lipponen; 
  • Annamari Heikinheimo; 
  • Tarja Pitkänen; 
  • Sami Oikarinen; 
  • WastPan Study Group

ABSTRACT

Background:

Many countries have applied wastewater surveillance of the COVID-19 pandemic to their national public health monitoring measures. The most used methods for the detection of SARS-CoV-2 in wastewater are RT-qPCR and RT-ddPCR. Previous studies have produced conflicting results, thus more research on the subject is required.

Objective:

This research was conducted to further study RT-qPCR and RT-ddPCR for the detection of SARS-CoV-2 in wastewater. In addition, the aim was to study the effect that changes in the analysis pipeline can have on the results. Furthermore, one of the objectives was to find a detection method for low-resource settings.

Methods:

We compared two RT-qPCR kits and RT-ddPCR based on sensitivity, variability, and correlation of SARS-CoV-2 gene copy numbers in wastewater to the incidence of COVID-19. RNA was extracted from the samples with column- and magnetic bead-based RNA extraction methods. SARS-CoV-2 was detected from the samples using N1 and N2 target gene assays for RT-qPCR and N1 and E target gene assays for RT-ddPCR. RT-SIBA was used to detect SARS-CoV-2 from wastewater qualitatively.

Results:

Our results indicate that the most sensitive method to detect SARS-CoV-2 in wastewater was RT-ddPCR. It had the highest positivity rate (26/30), and its limit of detection was the lowest (0.06 gene copies/µl). However, we obtained the best correlation between COVID-19 incidence and SARS-CoV-2 gene copy number in wastewater using RT-qPCR (CC = 0.697, P<.001). Changes in the analysis pipeline were shown to effect the results. We found a significant difference in sensitivity between the two RT-qPCR kits, one having a significantly lower limit of detection and a higher positivity rate than the other. Furthermore, the N1 target gene assay was the most sensitive for both RT-qPCR kits, while no significant difference was found between the tested targets using RT-ddPCR. In addition, the use of different RNA extraction kits affected the result when using the more sensitive RT-qPCR kit. RT-SIBA was able to detect SARS-CoV-2 RNA in wastewater.

Conclusions:

Currently, wastewater surveillance of SARS-CoV-2 is mostly performed with RT-qPCR. Yet, this study, as most of the previous studies, showed RT-ddPCR to be more sensitive. The use of RT-ddPCR in the wastewater surveillance of SARS-CoV-2 should be considered, especially if the amount of SARS-CoV-2 circulating in the population is low. All the analysis steps must be optimized for wastewater surveillance as our study showed that the compatibility of the RNA extraction, the RT-PCR kit and the target gene assay influences the results. In addition, our study showed that RT-SIBA could be used to detect SARS-CoV-2 in wastewater if a qualitative result is sufficient.


 Citation

Please cite as:

Länsivaara A, Lehto KM, Hyder R, Janhonen E, Lipponen A, Heikinheimo A, Pitkänen T, Oikarinen S, WastPan Study Group

Comparison of Different Reverse Transcriptase–Polymerase Chain Reaction–Based Methods for Wastewater Surveillance of SARS-CoV-2: Exploratory Study

JMIR Public Health Surveill 2024;10:e53175

DOI: 10.2196/53175

PMID: 39158943

PMCID: 11369532

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