key: cord-0751076-mulf66ax authors: Zhao, Lu; Atoni, Evans; Nyaruaba, Raphael; Du, Yao; Zhang, Huaiyu; Donde, Oscar; Huang, Doudou; Xiao, Shuqi; Ren, Nanjie; Ma, Teng; Shu, Zhu; Yuan, Zhiming; Tong, Lei; Xia, Han title: Environmental surveillance of SARS-CoV-2 RNA in wastewater systems and related environments in Wuhan: April to May of 2020 date: 2021-05-14 journal: J Environ Sci (China) DOI: 10.1016/j.jes.2021.05.005 sha: 815fc998a7e9e67ee77cfaaa9f0c7966865ed946 doc_id: 751076 cord_uid: mulf66ax Wastewater-based epidemiology (WBE) has emerged as an effective environmental surveillance tool in monitoring fecal-oral pathogen infections within a community. Congruently, SARS-CoV-2, the etiologic agent of COVID-19, has been demonstrated to infect the gastrointestinal tissues, and be shed in feces. In the present study, SARS-CoV-2 RNA was concentrated from wastewater, sludge, surface water, ground water, sediment, and soil samples of municipal and hospital wastewater systems and related environments in Wuhan during the COVID-19 middle and low risk periods, and the viral RNA copies quantified using reverse transcription quantitative polymerase chain reaction (RT-qPCR). From the findings of this study, during the middle risk period, one influent sample and three secondary effluents collected from waste water treatment plant 2, as well as two samples from Jinyintan Hospital wastewater system influent were SARS-CoV-2 RNA positive. One sludge sample collected from Guanggu Branch of Tongji Hospital, which was obtained during the low risk period, was also positive for SARS-CoV-2 RNA. These study findings demonstrate the significance of WBE in continuous surveillance of SARS-CoV-2 at the community level, even when the COVID-19 prevalence is low. Overall, this study can be used as an important reference for contingency management of wastewater treatment plants and COVID-19 prevention and control departments of Wuhan. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent for coronavirus disease 2019 (COVID-19), a current public health crisis of global concern (Zhou et al., 2020) . COVID-19 was declared a pandemic by World Health Organization (WHO) on 11 th March 2020 (Cucinotta and Vanelli, 2020) , after its first identification in Wuhan, China, and subsequent reports in many other regions and countries. COVID-19 is primarily transmitted via respiratory droplets that people cough, sneeze or exhale, and may also be spread via fomites (Jayaweera et al., 2020; Wang and Du, 2020) . Moreover, current efforts in the mitigation and prevention of the spread and transmission of SARS-CoV-2 have been focused on the adoption of non-pharmacological intervention strategies. In recent times, the assessment of different substances in wastewater has offered vital qualitative or quantitative knowledge on certain populations in a given wastewater catchment, particularly on the drug usage and distribution of drug resistant pathogenic genes within the environment. Moreover, this developing potential application has been suggested as a probable adoption in the field of infectious diseases to track and understand the distribution of disease biomarkers (Choi et al., 2018) . Over time, environmental microbiologists have investigated pathogens in wastewater systems, as a public health surveillance tool known as wastewater-based epidemiology (WBE) (Sinclair et al., 2008; Daughton, 2018; Xagoraraki and O'Brien, 2020) . WBE has been applied in surveillance of numerous fecal-oral viruses, foodborne and waterborne pathogens that infected persons typically excrete in high concentration (Katayama et al., 2008; Iaconelli et al., 2017; Bisseux et al., 2018; Tandukar et al., 2020) . WBE has also been applied in investigating other viruses beyond enteric fecal-oral route, since viral shedding involves different body fluids ultimately discharged into the wastewater systems (La Rosa et al., 2020) . Therefore, in sight of this global COVID-19 pandemic, scientists from various parts of the world have applied this surveillance system in detecting SARS-CoV-2 in wastewater systems (Ahmed et al., 2020; Chavarria-Miró et al., 2020; Haramoto et al., 2020; Kocamemi et al., 2020b; La Rosa et al., 2020; Rimoldi et al., 2020; Sherchan et al., 2020) April. Currently, there are no published reports on tracking of SARS-CoV-2 in wastewater and related environment in Wuhan during or after the epidemic. 1 Materials and methods Between the months of April and May 2020, a total of 216 samples that covered middle and low risk periods were collected from various points. Collection priority was given to wastewater treatment plants (samples of municipal wastewater system), designated hospitals for COVID-19 (samples of hospital wastewater system), and the environment close to them. These locations were responsible for handling wastewater that may have been directly or indirectly associated with COVID-19 patients. Environmental samples (from lakes and rivers) were collected based on the logic that once the wastewater has been thoroughly cleansed from the wastewater systems, it is discharged back into the environment (streams, rivers, or lakes). Except for the ground water ( The samples were transported to the laboratory through cold-chain transportation and processed within 6 hr of collection. For water samples, 50 mL of raw samples were first centrifuged at 5000 ×g for 15 min to remove the debris. As previously described elsewhere, for the sludge, sediment, or soil, 10 g sample was added to 50 mL of phosphate buffered solution (PBS), then the tube was vortexed for 1 min and centrifuged at 5000 ×g for 15 min to remove debris. After centrifugation, 3.2 g polyethylene glycol (PEG) 8000 (8%, W/V, Millipore Sigma, USA) and 0.9 g NaCl (0.3 mol/L, Millipore Sigma, USA) were added to 40 mL supernatant either from water, sludge, sediment, or soil sample (Miura et al., 2011) . The suspension was mixed vigorously and incubated overnight at 4°C. The supernatant was discarded after centrifugation at 9000 ×g for 30 min at 4°C. The pellet was 6 resuspended in 1 mL of PBS. The samples were finally aliquoted and stored at -20°C for subsequent RNA extraction and virus isolation. Viral RNA was extracted from 200 µL concentrated samples from the above step by using Direct-zol RNA Kit (Zymoresearch, USA), as per the manufacturer's guidelines in a biosafety level-2 laboratory. Thereafter, reverse transcription quantitative polymerase chain reaction (RT-qPCR) was performed using two primer-probe sets targeting the receptor binding domain (RBD2) and open reading frame 1ab (ORF1ab) genes ( Table 1) . Reverse transcription droplet digital polymerase chain reaction (RT-ddPCR) was used to determine the concentration of the standard RNA samples with 10 7 -10 -1 PFU/mL (10-fold serial dilutions) of SARS-CoV-2, which was performed and used in plotting the standard curve (Appendix A Fig. S1 ). The regression equation of standard curve is displayed in Eq. (1): ( 1) where, x is the threshold cycle and y is the logarithm of RNA samples' concentrations (copies/mL), respectively; R 2 is the coefficient of correlation obtained for the standard curve, as previously described elsewhere (Nyaruaba et al., 2020) . RT-qPCR reactions were performed on a CFX96 Touch and 1% penicillin/streptomycin, in 5% CO 2 at 37°C, in 24-well plates with 1×10 5 cells per well. For all the samples detected positive by RT-qPCR, 100 μL of the originally concentrated sample was inoculated into Vero E6 cells and incubated for 1 hr at 37°C. Thereafter, the inoculum was discarded and 500 μL DMEM, supplemented with 2% FBS and 1% penicillin/streptomycin was added to each well. 250 µL supernatant was collected on day 7 post inoculation, followed by 3 blind passages. Cytopathic effect (CPE) was observed daily. RT-qPCR was used in detection and quantification of SARS-CoV-2 RNA presence in the collected supernatant samples. From the findings of this study, during the middle risk period, positive samples were detected both in municipal and hospital wastewater systems. One of the three influent samples from WWTP2 tested positive and quantified as 7.4×10 3 copies/L, and two samples from Jinyintan Hospital wastewater system influents (3.8×10 3 and 9.3×10 3 copies/L) were determined as SARS-CoV-2 RNA positive. Compared to previous studies, the abundance of SARS-CoV-2 RNA in influent samples was in the low range in general (Kocamemi et al., 2020a; Wu et al., 2020a) , which is consistent with our results. Interestingly, three samples of six SE samples (5.3×10 3 , 1.0×10 4 , and 2.3×10 4 copies/L) of WWTP2 tested positive for SARS-CoV-2 RNA, and the RNA copies in SE samples were higher than those in the influent samples. We suspect that the sediments at bottom of wastewater collection pipes (from communities or hospitals) contained SARS-CoV-2, which may have entered the wastewater treatment plant after continuous washing. Since there is no primary sedimentation tank in the WWTP2, SARS-CoV-2 is blocked and concentrated by the biochemical treatment system and further released into the SE. During the low risk period, only one positive sludge sample (1.4×10 4 copies/L) was detected in wastewater system handling wastes from hospitals designated for COVID-19 patients (Fig. 2) . This was consistent with the COVID-19 risk level in Wuhan at the time. All of the tested FE, SW, GW, LS, and soil samples were SARS-CoV-2 RNA negative in both the middle and low risk periods. Additionally, attempted viral isolation for all positive samples detected by RT-qPCR was not successful. This illustrates that the disinfection process of drinking water and wastewater plants could effectively inactivate SARS-CoV-2. At the same time, tested samples from environmental sites far away from the COVID-19 designated hospitals were also SARS-CoV-2 negative, which further supports that Wuhan was undergoing a low risk of COVID-19 at that time. Since the first detection of SARS-CoV-2 in feces , it became clear that human wastewater might contain the novel coronavirus. Hence, WBE of SARS-CoV-2 is crucial because it has been suggested that aerosolization of virus-containing faces might pose a threat in its spread and transmission (Wu et al., 2020b) . However, it is not yet clear whether SARS-CoV-2 is viable under environmental conditions that could facilitate fecal-oral transmission (Lodder and de Roda Husman, 2020) . Moreover, evidence exists of potential community spread, with the virus spreading easily and sustainably in the community in some affected geographic areas, including China (MacKenzie and Smith, 2020; Wu and McGoogan, 2020) . Based on recently conducted studies, SARS-CoV-2 RNA has been detected worldwide in influent waters (Ahmed et al., 2020; La Rosa et al., 2020; Lodder and de Roda Husman, 2020; Medema et al., 2020; Wu et al., 2020a) , treated wastewater in Paris, France (Wurtzer et al., 2020) , and sludge from wastewater treatment plants (Kocamemi et al., 2020b) . Therefore, this study findings from Wuhan city are in conformity with these previously conducted studies. Although SARS-CoV-2 RNA surveillance in wastewater is a useful WBE surveillance approach, the public health risk associated with water cycle is unclear since viral particle infectivity in wastewater and feces is yet to be determined in addition to its probable fecal-oral transmission. Indeed, a recently conducted study has inferred that risk of infection from wastewater and river is insignificant due to the low success rate in cell culture of SARS-CoV-2 from water samples in spite of the high RNA copies (Rimoldi et al., 2020) . infection also contains a large number of oropharyngeal secretions, nasal secretions, etc., and also has a high viral load (Shi et al., 2020) , which increases the amount of virus detection in the wastewater. However, one limitation of this study was that data for the high-risk period was lacking. This was because surveillance and detection of SARS-CoV-2 in residents was a prime priority due to the peak in COVID-19 infection in Wuhan. Moreover, there was no regulation that guided WWTPs on periodic collection and storage of water samples over a period of time. The detection of SARS-CoV-2 RNA in various wastewater systems and related environmental samples in Wuhan shows the significance of WBE in continuous surveillance of SARS-CoV-2 at the community level, under low prevalence record of human illnesses, in contrast to clinical surveillance. This application is principally useful in remote communities and confined populations where mass sampling for the entire population may not be easily achievable at the onset due to inadequate resources or existence of asymptomatic patients. However, effective sampling techniques are of great essence for achieving accurate results in WBE. First confirmed detection of SARS-CoV-2 in untreated wastewater in Australia: A proof of concept for the wastewater surveillance of COVID-19 in the community Monitoring human enteric viruses in wastewater and relevance to infections encountered in the clinical setting: A one-year experiment in central France Sentinel surveillance of SARS-CoV-2 in wastewater anticipates the occurrence of COVID-19 cases Wastewater-based epidemiology biomarkers: Past, present and future WHO declares COVID-19 a pandemic Monitoring wastewater for assessing community health: Sewage Chemical-Information Mining (SCIM) First environmental surveillance for the presence of SARS-CoV-2 RNA in wastewater and river water in Japan Oneyear surveillance of human enteric viruses in raw and treated wastewaters, downstream river waters, and drinking waters Transmission of COVID-19 virus by droplets and aerosols: A critical review on the unresolved dichotomy Oneyear monthly quantitative survey of noroviruses, enteroviruses, and adenoviruses in wastewater collected from six plants in Japan First data-set on SARS-CoV-2 detection for istanbul wastewaters in Turkey SARS-CoV-2 Detection in Istanbul wastewater treatment plant sludges First detection of SARS-CoV-2 in untreated wastewaters in Italy SARS-CoV-2 in wastewater: potential health risk, but also data source COVID-19: A novel zoonotic disease caused by a coronavirus from China: What we know and what we don't First detection of hepatitis E virus in Central Argentina: Environmental and serological survey Presence of SARS-Coronavirus-2 RNA in sewage and correlation with reported COVID-19 prevalence in the early stage of the epidemic in the Netherlands Development of an effective method for recovery of viral genomic RNA from environmental silty sediments for quantitative molecular detection National Institute For Viral Disease Control and Prevention, 2020. Specific primers and probes for detection 2019 novel coronavirus Development of a field-deployable RT-qPCR workflow for COVID-19 detection Presence and vitality of SARS-CoV-2 virus in wastewaters and rivers First detection of SARS-CoV-2 RNA in wastewater in North America: A study in Louisiana Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study Chapter 9 -Pathogen Surveillance Through Monitoring of Sewer Systems Reduction of human enteric and indicator viruses at a wastewater treatment plant in southern Louisiana, USA COVID-19 may transmit through aerosol SARS-CoV-2 titers in wastewater are higher than expected from clinically confirmed cases A new coronavirus associated with human respiratory disease in China Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: Summary of a report of 72314 cases from the Chinese Center for Disease Control and Prevention Evaluation of lockdown impact on SARS-CoV-2 dynamics through viral genome quantification in Paris wastewaters Wastewater-Based Epidemiology for Early Detection of Viral Outbreaks Molecular and serological investigation of 2019-nCoV infected patients: implication of multiple shedding routes A pneumonia outbreak associated with a new coronavirus of probable bat origin This work was supported by the Wuhan Bureau of Science and Technology (No. 202002020101010022) and China Geological Survey (No. DD20190282). We sincerely thank Prof.Hongping Wei and the support team from the National Biosafety Laboratory in Wuhan, China, for the support they extended to us. The authors declare no conflict of interest. Supplementary data associated with this article can be found, in the online version, at xxxxxx.