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Updated: Aug 25, 2025

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
Published on: June 30, 2023
SARS-CoV-2 infection dynamics revealed by wastewater sequencing analysis and deconvolution
Vic-Fabienne Schumann1, Rafael Ricardo de Castro Cuadrat1, Emanuel Wyler2
1Bioinformatics & Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany.
Wastewater RNA sequencing offers a powerful, individual-independent method for tracking SARS-CoV-2 variants. We developed PiGx SARS-CoV-2, a scalable pipeline to analyze wastewater data, accurately reconstructing lineage dynamics and supporting viral surveillance.
Area of Science:
- Environmental microbiology
- Virology
- Bioinformatics
Background:
- Wastewater-based epidemiology (WBE) is crucial for monitoring infectious diseases like SARS-CoV-2.
- Accurate and scalable tools are needed to analyze WBE sequencing data for tracking viral dynamics and lineages.
- Existing methods may lack the reproducibility and comprehensiveness required for continuous surveillance.
Purpose of the Study:
- To present PiGx SARS-CoV-2, a reproducible computational pipeline for analyzing wastewater sequencing data.
- To demonstrate the pipeline's accuracy in quantifying SARS-CoV-2 variant proportions using simulated and real-world data.
- To reconstruct SARS-CoV-2 lineage dynamics in Berlin and New York City using wastewater surveillance.
Main Methods:
- Development of an end-to-end computational pipeline (PiGx SARS-CoV-2) for raw sequencing data processing.
- In silico and spiked-in sample analyses to validate variant proportion calculations.
- Application of the pipeline to wastewater samples from Berlin and New York City, including analysis of short-read data.
- Geospatial time series analysis and deconvolution techniques.
Main Results:
- PiGx SARS-CoV-2 accurately calculates variant proportions, including Variants of Concern (VOCs), from environmental and spiked-in samples.
- Reconstruction of SARS-CoV-2 lineage dynamics in Berlin, showing the emergence of Alpha and replacement of Delta by Omicron variants.
- Successful reproduction of cryptic lineage proportions from New York City targeted sequencing data.
- Demonstrated high accuracy with industrial-scale, very-short-read data.
Conclusions:
- PiGx SARS-CoV-2 is a highly reproducible, scalable, and automated pipeline for analyzing wastewater sequencing data.
- The pipeline accurately reconstructs viral lineage dynamics and can identify new mutations and emerging lineages.
- This approach supports continuous monitoring and early-warning systems for SARS-CoV-2 and other pathogens through WBE.
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