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Updated: Sep 9, 2025

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
Published on: June 30, 2023
A Benchmark of methods for SARS-CoV-2 whole genome sequencing and development of a more sensitive method
Anthony Bayega1,2, Sarah J Reiling1,2, Ju Ling Liu1,2
1McGill Genome Centre, Victor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, Montreal, QC, Canada.
Abstract:
The raging COVID-19 pandemic caused by SARS-CoV-2 has so far claimed the lives of 7 million people and continues to infect many more. Further, virus evolution has caused mutations that have compromised public health interventions like vaccination regimes and monoclonal antibody and convalescent sera treatments. In response, unprecedented large-scale whole genome viral surveillance approaches have been devised to keep track of the evolution and transmission patterns of the virus within and across populations. Here, we aimed to compare efficiencies of SARS-CoV-2 whole genome sequencing approaches using synthetic SARS-CoV-2 genome and six cell culture SARS-CoV-2 variants titrated to represent samples at high, medium, and low viral load. We found that the ARTIC protocols performed best in terms of PCR amplicon yield returning 67% more amplicons than Entebbe protocol which was the second highest PCR amplicon yielding protocol. ARTIC v4.1 protocol yields were only slightly better than ARTIC v3. Despite yielding the lowest PCR amplicons, the SNAP protocol showed the highest genome completeness using a synthetic genome at high viral titre followed by ARTIC protocols. However, the ARTIC protocols showed highest genome completeness with cell culture SARS-CoV-2 variants across high, medium and low viral titres. ARTIC protocol also performed best in calling the correct lineage among cell culture SARS-CoV-2 variants across different viral titres. We also designed a new method termed ARTIC-Amp which leverages ARTIC protocol and performs a rolling circle amplification to increase yield of amplicons. In a proof-of-principle experiment, this method showed 100% coverage in all four targeted genes across three replicates unlike the ARTIC protocol missed one gene in two of the three replicates. Our results demonstrate the robustness of the ARTIC protocol and propose an improved method that could be useful for samples that routinely have limited SARS-CoV-2 RNA such as wastewater samples.
Insights
Comparing SARS-CoV-2 sequencing methods, ARTIC protocols excelled in yield and lineage accuracy. A new ARTIC-Amp method improved genome coverage, especially for low-RNA samples like wastewater.
Area of Science:
- Virology
- Genomics
- Molecular Biology
Background:
- The COVID-19 pandemic, caused by SARS-CoV-2, necessitates robust viral surveillance due to ongoing mutations impacting public health interventions.
- Whole genome sequencing is crucial for tracking virus evolution and transmission patterns.
Purpose of the Study:
- To compare the efficiencies of different SARS-CoV-2 whole genome sequencing approaches.
- To evaluate sequencing performance across various viral loads and sample types.
Main Methods:
- Comparative analysis of ARTIC and Entebbe protocols using synthetic and cell-cultured SARS-CoV-2 variants.
- Assessment of PCR amplicon yield, genome completeness, and lineage calling accuracy.
- Development and testing of a novel ARTIC-Amp method utilizing rolling circle amplification.
Main Results:
- ARTIC protocols demonstrated superior PCR amplicon yield and lineage identification accuracy compared to the Entebbe protocol.
- The SNAP protocol achieved high genome completeness with synthetic genomes, while ARTIC protocols excelled with cell-cultured variants across different viral loads.
- The novel ARTIC-Amp method achieved 100% gene coverage, outperforming the standard ARTIC protocol in proof-of-principle experiments.
Conclusions:
- The ARTIC protocol is a robust method for SARS-CoV-2 whole genome sequencing.
- The ARTIC-Amp method offers improved amplicon yield and coverage, particularly beneficial for samples with limited viral RNA, such as wastewater samples.
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