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Effective inhibitor removal from wastewater samples increases sensitivity of RT-dPCR and sequencing analyses and enhances the stability of wastewater-based surveillance

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Item Type:Article
Title:Effective inhibitor removal from wastewater samples increases sensitivity of RT-dPCR and sequencing analyses and enhances the stability of wastewater-based surveillance
Creators Name:Linzner, N., Bartel, A., Schumacher, V., Grau, J.H., Wyler, E., Preuß, H., Garske, S., Bitzegeio, J., Kirst, E.B., Liere, K., Hoppe, S., Borodina, T.A., Altmüller, J., Landthaler, M., Meixner, M., Sagebiel, D. and Böckelmann, U.
Abstract:Wastewater-based surveillance (WBS) is a proven tool for monitoring population-level infection events. Wastewater contains high concentrations of inhibitors, which contaminate the total nucleic acids (TNA) extracted from these samples. We found that TNA extracts from raw influent of Berlin wastewater treatment plants contained highly variable amounts of inhibitors that impaired molecular analyses like dPCR and next-generation sequencing (NGS). By using dilutions, we were able to detect inhibitory effects. To enhance WBS sensitivity and stability, we applied a combination of PCR inhibitor removal and TNA dilution (PIR+D). This approach led to a 26-fold increase in measured SARS-CoV-2 concentrations, practically reducing the detection limit. Additionally, we observed a substantial increase in the stability of the time series. We define suitable stability as a mean absolute error (MAE) below 0.1 log10 copies/L and a geometric mean relative absolute error (GMRAE) below 26%. Using PIR+D, the MAE could be reduced from 0.219 to 0.097 and the GMRAE from 65.5% to 26.0%, and even further in real-world WBS. Furthermore, PIR+D improved SARS-CoV-2 genome alignment and coverage in amplicon-based NGS for low to medium concentrations. In conclusion, we strongly recommend both the monitoring and removal of inhibitors from samples for WBS.
Keywords:Wastewater-Based Surveillance, dPCR, Inhibitors of Molecular Biology Applications, Inhibitor Removal, Time Series Stability, SARS-CoV-2, Sequencing, Robust, Noise, Germany
Source:Microorganisms
ISSN:2076-2607
Publisher:MDPI
Volume:12
Number:12
Page Range:2475
Number of Pages:1
Date:December 2024
Official Publication:https://doi.org/10.3390/microorganisms12122475

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