COPMAN: A novel high-throughput and highly sensitive method to detect viral nucleic acids including SARS-CoV-2 RNA in wastewater

Simultaneous Extraction of Bone Marrow RNA and DNA from Patients with Hematologic Diseases Using a Combined Magnetic Bead Method within 1 Hour

BACKGROUND

TRIzolTM is widely used for RNA and DNA extraction. However, this method is laborious and time-consuming. The objective of this study was to validate a time-effective and labor-saving protocol.

METHODS

The TRIzol method was used to separate the aqueous phase, protein, and phenol layer of bone marrow samples from 12 patients with hematological diseases. Subsequently, RNA and DNA were extracted from the aqueous layer containing RNA and phenol layer containing DNA, respectively, using magnetic bead extraction kits. The quantity and purity of extracted RNA and DNA were examined using a NanoDrop spectrophotometer. Quantitative fluorescence PCR amplification of the ABL1 gene was performed to verify the effectiveness of the extracted RNA and DNA for downstream experiments. RNA and DNA from another 16 bone marrow samples were extracted to compare the performance of the two methods.

RESULTS

Co-extraction of RNA and DNA was completed within 1 h. The data showed that RNA and DNA yield ranged from 13.1 to 204.5 ng/µL and 33.1 to 228.8 ng/µL, respectively. The A260/A280 ratios of RNA and DNA samples ranged from 1.82 to 2.01 and 1.73 to 1.91, respectively. RNA and DNA extracted using this scheme exhibited ideal performance in quantitative fluorescence PCR. The present protocol showed better quality and effectiveness in extracting RNA and DNA compared to the TRIzol method.

CONCLUSIONS

This protocol for RNA and DNA co-extraction is fast, labor-saving, and high throughput. It can be adopted for routine molecular biology analyses, particularly for non-reproducible specimens.

Tracking community infection dynamics of COVID-19 by monitoring SARS-CoV-2 RNA in wastewater, counting positive reactions by qPCR

Wastewater-based epidemiology has proved useful for monitoring the COVID-19 infection dynamics in communities. However, in regions of low prevalence, low concentrations of SARS-CoV-2 RNA in wastewater make this difficult. Here, we used real-time reverse-transcription PCR (RT-qPCR) to monitor SARS-CoV-2 RNA in wastewater from October 2020 to December 2022 during the third, fourth, fifth, sixth, seventh, and eighth waves of the COVID-19 outbreak in Japan. Viral RNA was below the limit of detection in all samples during the third and fourth waves. However, by counting the number of positive replicates in qPCR of each sample, we found that the positive ratio to all replicates in wastewater was significantly correlated with the number of clinically confirmed cases by the date of symptom onset during the third, fourth, and fifth waves. Time-step analysis indicated that, for 2 days either side of symptom onset, COVID-19 patients excreted in their feces large amounts of virus that wastewater surveillance could detect. We also demonstrated that the viral genome copy number in wastewater, as estimated from the positive ratio of SARSA-CoV-2 RNA, was correlated with the number of clinically confirmed cases. The positive count method is thus useful for tracing COVID-19 dynamics in regions of low prevalence.

The Emergence and Widespread Circulation of Enteric Viruses Throughout the COVID-19 Pandemic: A Wastewater-Based Evidence

Growing evidence shed light on the importance of wastewater-based epidemiology (WBE) during the pandemic, when the patients rarely visited the clinics despite the fact that the infections were still prevalent in the community as before. The abundance of infections in the community poses a constant threat of the emergence of new epidemic strains. Herein, we investigated enteric viruses in raw sewage water (SW) from Japan's Tohoku region and compared them to those from the Kansai region to better understand the circulating strains and their distribution across communities during the COVID-19 pandemic. Raw SW was collected between 2019 and 2022, concentrated by polyethylene-glycol-precipitation method, and investigated for major AGE viruses by RT-PCR. Sequence-based analyses were used to assess genotypes and evolutionary relationships. The most commonly detected enteric virus was rotavirus A (RVA) at 63.8%, followed by astrovirus (AstV) at 61.1%, norovirus (NoV) GII and adenovirus (AdV) at 33.3%, sapovirus (SV) at 25.0%, enterovirus (EV) at 19.4%, and NoV GI at 13.9%. The highest prevalence (46.0%) was found in the spring. Importantly, enteric viruses did not decline during the pandemic. Rather, several strains like NoV GII.2, DS-1-like human G3 (equine) RVA, MLB1 AstV, and different F41 HAdV emerged throughout the pandemic and spread widely over the Tohoku and Kansai regions. Tohoku's detection rate remained lower than that of the Kansai area (36 vs 58%). This study provides evidence for the emergence and spread of enteric viruses during the pandemic.

Field-deployable assay based on CRISPR-Cas13a coupled with RT-RPA in one tube for the detection of SARS-CoV-2 in wastewater

CRISPR-based nucleic acid detection is easy to implement, field deployable, and always coupled with isothermal amplification to improve the sensitivity. However, the conventional detection requires two separate steps, which can cause long-lasting amplicon aerosol contaminants, hence leading to false-positive results. To address this problem, we proposed a one-tube assay based on CRISPR-Cas13a coupled with reverse transcription-recombinase polymerase amplification to avoid aerosol pollution. The one-tube assay could be completed within 40 min with a sensitivity of up to 180 copies of RNA per reaction, and exhibited no cross reactivity with two related coronaviruses. Our technology showed reproducibility with relative standard deviation of 4.6% responding to 1 fM nucleic acid for three times. It could be used to detect SARS-CoV-2 nucleic acids in raw wastewater with a limit of detection of 103 copies/mL. We also validated the practicability of this technique for viral detection in environmental water samples by detecting SARS-CoV-2 in wastewater, which were not detectable by RT-qPCR technology, showing resistance of this technology to wastewater matrix. It is anticipated that the robustness and high sensitivity will significantly promote the development of a point-of-care method in environmental virus monitoring.

Near full-automation of COPMAN using a LabDroid enables high-throughput and sensitive detection of SARS-CoV-2 RNA in wastewater as a leading indicator

Wastewater-based epidemiology (WBE) is a promising tool to efficiently monitor COVID-19 prevalence in a community. For WBE community surveillance, automation of the viral RNA detection process is ideal. In the present study, we achieved near full-automation of a previously established method, COPMAN (COagulation and Proteolysis method using MAgnetic beads for detection of Nucleic acids in wastewater), which was then applied to detect SARS-CoV-2 in wastewater for half a year. The automation line employed the Maholo LabDroid and an automated-pipetting device to achieve a high-throughput sample-processing capability of 576 samples per week. SARS-CoV-2 RNA was quantified with the automated COPMAN using samples collected from two wastewater treatment plants in the Sagami River basin in Japan between 1 November 2021 and 24 May 2022, when the numbers of daily reported COVID-19 cases ranged from 0 to 130.3 per 100,000 inhabitants. The automated COPMAN detected SARS-CoV-2 RNA from 81 out of 132 samples at concentrations of up to 2.8 × 10⁵ copies/L. These concentrations showed direct correlations with subsequently reported clinical cases (5-13 days later), as determined by Pearson's and Spearman's cross-correlation analyses. To compare the results, we also conducted testing with the EPISENS-S (Efficient and Practical virus Identification System with ENhanced Sensitivity for Solids, Ando et al., 2022), a previously reported detection method. SARS-CoV-2 RNA detected with EPISENS-S correlated with clinical cases only when using Spearman's method. Our automated COPMAN was shown to be an efficient method for timely and large-scale monitoring of viral RNA, making WBE more feasible for community surveillance.

Genotype Diversity of Enteric Viruses in Wastewater Amid the COVID-19 Pandemic

Viruses remain the leading cause of acute gastroenteritis (AGE) worldwide. Recently, we reported the abundance of AGE viruses in raw sewage water (SW) during the COVID-19 pandemic, when viral AGE patients decreased dramatically in clinics. Since clinical samples were not reflecting the actual state, it remained important to determine the circulating strains in the SW for preparedness against impending outbreaks. Raw SW was collected from a sewage treatment plant in Japan from August 2018 to March 2022, concentrated by polyethylene-glycol-precipitation method, and investigated for major gastroenteritis viruses by RT-PCR. Genotypes and evolutionary relationships were evaluated through sequence-based analyses. Major AGE viruses like rotavirus A (RVA), norovirus (NoV) GI and GII, and astrovirus (AstV) increased sharply (10-20%) in SW during the COVID-19 pandemic, though some AGE viruses like sapovirus (SV), adenovirus (AdV), and enterovirus (EV) decreased slightly (3-10%). The prevalence remained top in the winter. Importantly, several strains, including G1 and G3 of RVA, GI.1 and GII.2 of NoV, GI.1 of SV, MLB1 of AstV, and F41 of AdV, either emerged or increased amid the pandemic, suggesting that the normal phenomenon of genotype changing remained active over this time. This study crucially presents the molecular characteristics of circulating AGE viruses, explaining the importance of SW investigation during the pandemic when a clinical investigation may not produce the complete scenario.

Moving forward with COVID-19: Future research prospects of wastewater-based epidemiology methodologies and applications

Wastewater-based epidemiology (WBE) has been demonstrated for its great potential in tracking of coronavirus disease 2019 (COVID-19) transmission among populations despite some inherent methodological limitations. These include non-optimized sampling approaches and analytical methods; stability of viruses in sewer systems; partitioning/retention in biofilms; and the singular and inaccurate back-calculation step to predict the number of infected individuals in the community. Future research is expected to (1) standardize best practices in wastewater sampling, analysis and data reporting protocols for the sensitive and reproducible detection of viruses in wastewater; (2) understand the in-sewer viral stability and partitioning under the impacts of dynamic wastewater flow, properties, chemicals, biofilms and sediments; and (3) achieve smart wastewater surveillance with artificial intelligence and big data models. Further specific research is essential in the monitoring of other viral pathogens with pandemic potential and subcatchment applications to maximize the benefits of WBE beyond COVID-19.

Comparison of the methods for isolation and detection of SARS-CoV-2 RNA in municipal wastewater

Introduction

Coronavirus SARS-CoV-2 is a causative agent responsible for the current global pandemic situation known as COVID-19. Clinical manifestations of COVID-19 include a wide range of symptoms from mild (i.e., cough, fever, dyspnea) to severe pneumonia-like respiratory symptoms. SARS-CoV-2 has been demonstrated to be detectable in the stool of COVID-19 patients. Waste-based epidemiology (WBE) has been shown as a promising approach for early detection and monitoring of SARS-CoV-2 in the local population performed via collection, isolation, and detection of viral pathogens from environmental sources.

Methods

In order to select the optimal protocol for monitoring the COVID-19 epidemiological situation in region Turiec, Slovakia, we (1) compared methods for SARS-CoV-2 separation and isolation, including virus precipitation by polyethylene glycol (PEG), virus purification via ultrafiltration (Vivaspin®) and subsequent isolation by NucleoSpin RNA Virus kit (Macherey-Nagel), and direct isolation from wastewater (Zymo Environ Water RNA Kit); (2) evaluated the impact of water freezing on SARS- CoV-2 separation, isolation, and detection; (3) evaluated the role of wastewater filtration on virus stability; and (4) determined appropriate methods including reverse transcription-droplet digital PCR (RT-ddPCR) and real-time quantitative polymerase chain reaction (RT-qPCR) (targeting the same genes, i.e., RdRp and gene E) for quantitative detection of SARS-CoV-2 in wastewater samples.

Results

(1) Usage of Zymo Environ Water RNA Kit provided superior quality of isolated RNA in comparison with both ultracentrifugation and PEG precipitation. (2) Freezing of wastewater samples significantly reduces the RNA yield. (3) Filtering is counterproductive when Zymo Environ Water RNA Kit is used. (4) According to the specificity and sensitivity, the RT-ddPCR outperforms RT-qPCR.

Discussion

The results of our study suggest that WBE is a valuable early warning alert and represents a non-invasive approach to monitor viral pathogens, thus protects public health on a regional and national level. In addition, we have shown that the sensitivity of testing the samples with a nearer detection limit can be improved by selecting the appropriate combination of enrichment, isolation, and detection methods.