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Liu Y, Sapoval N, Gallego-García P, Tomás L, Posada D, Treangen TJ, Stadler LB. Crykey: Rapid Identification of SARS-CoV-2 Cryptic Mutations in Wastewater. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.16.23291524. [PMID: 37986916 PMCID: PMC10659477 DOI: 10.1101/2023.06.16.23291524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
We present Crykey, a computational tool for rapidly identifying cryptic mutations of SARS-CoV-2. Specifically, we identify co-occurring single nucleotide mutations on the same sequencing read, called linked-read mutations, that are rare or entirely missing in existing databases, and have the potential to represent novel cryptic lineages found in wastewater. While previous approaches exist for identifying cryptic linked-read mutations from specific regions of the SARS-CoV-2 genome, there is a need for computational tools capable of efficiently tracking cryptic mutations across the entire genome and for tens of thousands of samples and with increased scrutiny, given their potential to represent either artifacts or hidden SARS-CoV-2 lineages. Crykey fills this gap by identifying rare linked-read mutations that pass stringent computational filters to limit the potential for artifacts. We evaluate the utility of Crykey on >3,000 wastewater and >22,000 clinical samples; our findings are three-fold: i) we identify hundreds of cryptic mutations that cover the entire SARS-CoV-2 genome, ii) we track the presence of these cryptic mutations across multiple wastewater treatment plants and over a three years of sampling in Houston, and iii) we find a handful of cryptic mutations in wastewater mirror cryptic mutations in clinical samples and investigate their potential to represent real cryptic lineages. In summary, Crykey enables large-scale detection of cryptic mutations representing potential cryptic lineages in wastewater.
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Affiliation(s)
- Yunxi Liu
- Department of Computer Science, Rice University, Houston, TX, 77005, USA
| | - Nicolae Sapoval
- Department of Computer Science, Rice University, Houston, TX, 77005, USA
| | - Pilar Gallego-García
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO
| | - Laura Tomás
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO
| | - David Posada
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO
- Department of Biochemistry, Genetics, and Immunology, Universidade de Vigo, 36310 Vigo, Spain
| | - Todd J. Treangen
- Department of Computer Science, Rice University, Houston, TX, 77005, USA
| | - Lauren B. Stadler
- Department of Civil and Environmental Engineering, Rice University, Houston, TX, 77005, USA
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2
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Lemos M, Maia RL, Teixeira P. Access to Information, and Concerns, Myths and Truths about Food Safety during the COVID-19 Pandemic: An Overview of the Portuguese Population. Foods 2023; 12:2802. [PMID: 37509894 PMCID: PMC10380000 DOI: 10.3390/foods12142802] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 07/18/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023] Open
Abstract
The COVID-19 pandemic raised questions and concerns about the possibility of the virus being transmitted through food, as the virus was found in sewage, shrimps and packages of frozen food. During the first wave of COVID-19, concerns about the transmission of SARS-CoV-2 through food arose. As the number of cases began to increase rapidly, so did the availability of information regarding the virus and ways to prevent infection. A significant portion of this information was disseminated by the media and the general public. Identifying and understanding the main doubts and concerns about food hygiene and safety raised by the Portuguese population during the first wave of COVID-19 is important in order to understand whether these issues have influenced their practices and what lessons can be learnt for food safety and hygiene education. The aims of this work were (1) to understand the doubts and concerns of the Portuguese population regarding food safety and hygiene during the first wave of COVID-19, and how these issues were clarified, (2) to analyze the population's opinion on food/hygiene myths and truths related to the transmission and prevention of the infection, and (3) to understand how the first wave of COVID-19 may have influenced the population's practices linked to food handling and consumption. The main doubts of the respondents were related to food handling (41.6%) and the possibility of transmission of COVID-19 through food (17%). Television was the main source of information used to clarify these doubts (32.9%), followed by a guideline issued by the Directorate-General of Health (30.7%). However, most respondents (50.9%) said that they had only found answers to some of their questions. Most respondents reported washing and disinfecting hands before (85% and 63.4%, respectively) and after (73.8% and 57.3%, respectively) the handling and organization of food purchases. Most respondents did not believe the myths about COVID-19 and food safety, but this depended on their level of education. Some practices may have changed as a result of the pandemic, particularly with regard to washing and disinfecting hands and food, as well as kitchen hygiene.
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Affiliation(s)
- Marcela Lemos
- Universidade Católica Portuguesa, CBQF-Centro de Biotecnologia e Química Fina-Laboratório Associado, Escola Superior de Biotecnologia, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal
| | - Rui Leandro Maia
- CITCEM-Centro de Investigação Transdisciplinar «Cultura, Espaço e Memória», Faculdade de Letras do Porto, Universidade do Porto, 4150-564 Porto, Portugal
- FP I3ID-Institute for Research, Innovation and Development Fernando Pessoa Foundation, Universidade Fernando Pessoa, 4249-004 Porto, Portugal
| | - Paula Teixeira
- Universidade Católica Portuguesa, CBQF-Centro de Biotecnologia e Química Fina-Laboratório Associado, Escola Superior de Biotecnologia, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal
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3
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Wang R, Alamin M, Tsuji S, Hara-Yamamura H, Hata A, Zhao B, Ihara M, Honda R. Removal performance of SARS-CoV-2 in wastewater treatment by membrane bioreactor, anaerobic-anoxic-oxic, and conventional activated sludge processes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 851:158310. [PMID: 36030862 PMCID: PMC9411102 DOI: 10.1016/j.scitotenv.2022.158310] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/10/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
The potential risk of SARS-CoV-2 in treated effluent from a wastewater treatment plant (WWTP) is concerned since SARS-CoV-2 is contained in wastewater during the COVID-19 outbreak. However, the removal of SARS-CoV-2 in WWTP has not been well investigated. The objectives of this study were (i) to clarify the removal performance of SARS-CoV-2 during wastewater treatment, (ii) to compare the removal performance of different secondary treatment processes, and (iii) to evaluate applicability of pepper mild mottle of virus (PMMoV) as a performance indicator for the reduction of SARS-CoV-2 RNA in wastewater treatment. Influent wastewater, secondary-treatment effluent (before chlorination), and final effluent (after chlorination) samples were collected from a WWTP from May 28 to September 24, 2020, during the COVID-19 outbreak in Japan. The target WWTP had three parallel treatment systems employing conventional activated sludge (CAS), anaerobic-anoxic -oxic (A2O), and membrane bioreactor (MBR) processes. SARS-CoV-2 in both the liquid and solid fractions of the influent wastewater was concentrated and quantified using RT-qPCR. SARS-CoV-2 in treated effluent was concentrated from 10 L samples to achieve a detection limit as low as 10 copies/L. The log reduction value (LRV) of SARS-CoV-2 was 2.7 ± 0.86 log10 in CAS, 1.6 ± 0.50 log10 in A2O, and 3.6 ± 0.62 log10 in MBR. The lowest LRV observed during the sampling period was 2.8 log10 in MBR, 1.2 log10 in CAS, and 1.0 log10 in A2O process, indicating that the MBR had the most stable reduction performance. PMMoV was found to be a good indicator virus to evaluate reduction performance of SARS-CoV-2 independent of the process configuration because the LRV of PMMoV was significantly lower than that of SARS-CoV-2 in the CAS, A2O and MBR processes.
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Affiliation(s)
- Rongxuan Wang
- Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan
| | - Md Alamin
- Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan
| | - Shohei Tsuji
- Faculty of Geosciences and Civil Engineering, Kanazawa University, Kanazawa, Japan
| | - Hiroe Hara-Yamamura
- Faculty of Geosciences and Civil Engineering, Kanazawa University, Kanazawa, Japan
| | - Akihiko Hata
- Department of Environmental and Civil Engineering, Toyama Prefectural University, Imizu, Japan
| | - Bo Zhao
- Key Laboratory of Integrated Regulation and Resource Development of Shallow Lakes of Ministry of Education, College of Environment, Hohai University, Nanjing, PR China; Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, Otsu, Japan
| | - Masaru Ihara
- Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, Otsu, Japan; Faculty of Agriculture and Marine Science, Kochi University, Nankoku, Japan
| | - Ryo Honda
- Faculty of Geosciences and Civil Engineering, Kanazawa University, Kanazawa, Japan; Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, Otsu, Japan.
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4
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Duvallet C, Wu F, McElroy KA, Imakaev M, Endo N, Xiao A, Zhang J, Floyd-O'Sullivan R, Powell MM, Mendola S, Wilson ST, Cruz F, Melman T, Sathyanarayana CL, Olesen SW, Erickson TB, Ghaeli N, Chai P, Alm EJ, Matus M. Nationwide Trends in COVID-19 Cases and SARS-CoV-2 RNA Wastewater Concentrations in the United States. ACS ES&T WATER 2022; 2:1899-1909. [PMID: 36380771 DOI: 10.1101/2021.09.08.21263283] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Wastewater-based epidemiology has emerged as a promising technology for population-level surveillance of COVID-19. In this study, we present results of a large nationwide SARS-CoV-2 wastewater monitoring system in the United States. We profile 55 locations with at least six months of sampling from April 2020 to May 2021. These locations represent more than 12 million individuals across 19 states. Samples were collected approximately weekly by wastewater treatment utilities as part of a regular wastewater surveillance service and analyzed for SARS-CoV-2 RNA concentrations. SARS-CoV-2 RNA concentrations were normalized to pepper mild mottle virus, an indicator of fecal matter in wastewater. We show that wastewater data reflect temporal and geographic trends in clinical COVID-19 cases and investigate the impact of normalization on correlations with case data within and across locations. We also provide key lessons learned from our broad-scale implementation of wastewater-based epidemiology, which can be used to inform wastewater-based epidemiology approaches for future emerging diseases. This work demonstrates that wastewater surveillance is a feasible approach for nationwide population-level monitoring of COVID-19 disease. With an evolving epidemic and effective vaccines against SARS-CoV-2, wastewater-based epidemiology can serve as a passive surveillance approach for detecting changing dynamics or resurgences of the virus.
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Affiliation(s)
- Claire Duvallet
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
| | - Fuqing Wu
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- MIT Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, United States
| | - Kyle A McElroy
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
| | - Maxim Imakaev
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
| | - Noriko Endo
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
| | - Amy Xiao
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- MIT Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, United States
| | - Jianbo Zhang
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- MIT Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, United States
| | | | - Morgan M Powell
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
| | - Samuel Mendola
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
| | - Shane T Wilson
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
| | - Francis Cruz
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
| | - Tamar Melman
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | | | - Scott W Olesen
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
| | - Timothy B Erickson
- Department of Emergency Medicine, Harvard Medical School, Boston, Massachusetts 02115, United States
- Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, United States
- Harvard Humanitarian Initiative, Cambridge, Massachusetts 02138, United States
| | - Newsha Ghaeli
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
| | - Peter Chai
- Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, United States
- The Fenway Institute, Boston, Massachusetts 02215, United States
- The Koch Institute for Integrated Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, United States
| | - Eric J Alm
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- MIT Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, United States
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Mariana Matus
- Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States
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5
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Amara U, Rashid S, Mahmood K, Nawaz MH, Hayat A, Hassan M. Insight into prognostics, diagnostics, and management strategies for SARS CoV-2. RSC Adv 2022; 12:8059-8094. [PMID: 35424750 PMCID: PMC8982343 DOI: 10.1039/d1ra07988c] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 02/04/2022] [Indexed: 01/08/2023] Open
Abstract
The foremost challenge in countering infectious diseases is the shortage of effective therapeutics. The emergence of coronavirus disease (COVID-19) outbreak has posed a great menace to the public health system globally, prompting unprecedented endeavors to contain the virus. Many countries have organized research programs for therapeutics and management development. However, the longstanding process has forced authorities to implement widespread infrastructures for detailed prognostic and diagnostics study of severe acute respiratory syndrome (SARS CoV-2). This review discussed nearly all the globally developed diagnostic methodologies reported for SARS CoV-2 detection. We have highlighted in detail the approaches for evaluating COVID-19 biomarkers along with the most employed nucleic acid- and protein-based detection methodologies and the causes of their severe downfall and rejection. As the variable variants of SARS CoV-2 came into the picture, we captured the breadth of newly integrated digital sensing prototypes comprised of plasmonic and field-effect transistor-based sensors along with commercially available food and drug administration (FDA) approved detection kits. However, more efforts are required to exploit the available resources to manufacture cheap and robust diagnostic methodologies. Likewise, the visualization and characterization tools along with the current challenges associated with waste-water surveillance, food security, contact tracing, and their role during this intense period of the pandemic have also been discussed. We expect that the integrated data will be supportive and aid in the evaluation of sensing technologies not only in current but also future pandemics.
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Affiliation(s)
- Umay Amara
- Institute of Chemical Sciences, Bahauddin Zakariya University Multan 608000 Pakistan
- Interdisciplinary Research Centre in Biomedical Materials (IRCBM), COMSATS University Islamabad Lahore Campus 54000 Pakistan
| | - Sidra Rashid
- Interdisciplinary Research Centre in Biomedical Materials (IRCBM), COMSATS University Islamabad Lahore Campus 54000 Pakistan
| | - Khalid Mahmood
- Institute of Chemical Sciences, Bahauddin Zakariya University Multan 608000 Pakistan
| | - Mian Hasnain Nawaz
- Interdisciplinary Research Centre in Biomedical Materials (IRCBM), COMSATS University Islamabad Lahore Campus 54000 Pakistan
| | - Akhtar Hayat
- Interdisciplinary Research Centre in Biomedical Materials (IRCBM), COMSATS University Islamabad Lahore Campus 54000 Pakistan
| | - Maria Hassan
- Institute of Chemical Sciences, Bahauddin Zakariya University Multan 608000 Pakistan
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6
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Castro-Gutierrez V, Hassard F, Vu M, Leitao R, Burczynska B, Wildeboer D, Stanton I, Rahimzadeh S, Baio G, Garelick H, Hofman J, Kasprzyk-Hordern B, Kwiatkowska R, Majeed A, Priest S, Grimsley J, Lundy L, Singer AC, Di Cesare M. Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach. PLoS One 2022. [PMID: 35714109 DOI: 10.1101/2021.03.25.21254231] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2023] Open
Abstract
Clinical testing of children in schools is challenging, with economic implications limiting its frequent use as a monitoring tool of the risks assumed by children and staff during the COVID-19 pandemic. Here, a wastewater-based epidemiology approach has been used to monitor 16 schools (10 primary, 5 secondary and 1 post-16 and further education) in England. A total of 296 samples over 9 weeks have been analysed for N1 and E genes using qPCR methods. Of the samples returned, 47.3% were positive for one or both genes with a detection frequency in line with the respective local community. WBE offers a low cost, non-invasive approach for supplementing clinical testing and can provide longitudinal insights that are impractical with traditional clinical testing.
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Affiliation(s)
- Victor Castro-Gutierrez
- Cranfield University, Bedfordshire, United Kingdom
- Environmental Pollution Research Center (CICA), University of Costa Rica, Montes de Oca, Costa Rica
| | | | - Milan Vu
- Department of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom
| | - Rodrigo Leitao
- Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
| | - Beata Burczynska
- Department of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom
| | - Dirk Wildeboer
- Department of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom
| | - Isobel Stanton
- UK Centre for Ecology and Hydrology, Wallingford, United Kingdom
| | - Shadi Rahimzadeh
- Department of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom
| | - Gianluca Baio
- Department of Statistical Science, University College London, London, United Kingdom
| | - Hemda Garelick
- Department of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom
| | - Jan Hofman
- Water Innovation & Research Centre, Department of Chemical Engineering, University of Bath, Bath, United Kingdom
| | - Barbara Kasprzyk-Hordern
- Water Innovation & Research Centre, Department of Chemistry, University of Bath, Bath, United Kingdom
| | - Rachel Kwiatkowska
- School of Population Health Sciences, University of Bristol, Bristol, United Kingdom
- Field Services, National Infection Service, Public Health England, London, United Kingdom
| | - Azeem Majeed
- Department of Primary Care & Public Health, Imperial College Faculty of Medicine, London, United Kingdom
| | - Sally Priest
- Department of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom
| | - Jasmine Grimsley
- Joint Biosecurity Centre, Department for Health and Social Care, London, United Kingdom
| | - Lian Lundy
- Department of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom
| | - Andrew C Singer
- UK Centre for Ecology and Hydrology, Wallingford, United Kingdom
| | - Mariachiara Di Cesare
- Institute of Public Health and Wellbeing, University of Essex, Colchester, United Kingdom
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7
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Tyagi N, Gurian PL, Kumar A. Using QMRA to understand possible exposure risks of SARS-CoV-2 from the water environment. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:7240-7253. [PMID: 34467495 PMCID: PMC8408015 DOI: 10.1007/s11356-021-16188-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 08/23/2021] [Indexed: 06/13/2023]
Abstract
This study investigated the human risk of infection due to inadvertent ingestion of water during swimming in a river that receives SARS-CoV-2-containing effluent from a wastewater treatment plant (WWTP). A quantitative microbial risk assessment (QMRA) approach was applied for risk estimation using dose-response models (DRM) of different surrogate coronaviruses (SARS-CoV-1, MERS-CoV) and the virus responsible for most infectious respiratory illnesses (i.e., influenza A H5N1) due to the unavailability of DRM for SARS-CoV-2. The ratio of infectious concentration to genomic copies of SARS-CoV-2 is unknown and also unavailable for other coronaviruses. Therefore, literature-based information on enteric viruses was used for formulating the ratio used for QMRA, although it is acknowledged that identifying this information for SARS-CoV-2 is a priority, and in the absence of information specific to SARS-CoV-2, another coronavirus would be a preferable surrogate to the enteric viruses used here. The calculated concentration of ingested SARS-CoV-2 ranged between 4.6 × 10-7 and 80.5 genomic copies/dip (one swim = 32 mL). The risk of infection (> 9 × 10-12 to 5.8 × 10-1) was found to be > 1/10,000 annual risk of infection. Moreover, the study revealed that the risk estimation was largely dependent on the value of the molecular concentration of SARS-CoV-2 (gc/mL). Overall immediate attention is required for obtaining information on the (i) ratio of infectious virus to genomic copies, (ii) DRM for SARS-CoV-2, and (iii) virus reduction rate after treatment in the WWTPs. The QMRA structure used in present findings is helpful in analyzing and prioritizing upcoming health risks due to swimming performed in contaminated rivers during the COVID-19 outbreak.
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Affiliation(s)
- Neha Tyagi
- Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, 110016 India
| | - Patrick L. Gurian
- Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, PA USA
| | - Arun Kumar
- Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, 110016 India
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8
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O'Brien M, Rundell ZC, Nemec MD, Langan LM, Back JA, Lugo JN. A comparison of four commercially available RNA extraction kits for wastewater surveillance of SARS-CoV-2 in a college population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 801:149595. [PMID: 34418621 PMCID: PMC8359497 DOI: 10.1016/j.scitotenv.2021.149595] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 08/03/2021] [Accepted: 08/07/2021] [Indexed: 05/02/2023]
Abstract
Localized wastewater surveillance has allowed for public health officials to gain a broader understanding of SARS-CoV-2 viral prevalence in the community allowing public health officials time to prepare for impending outbreaks. Given variable levels of virus in the population through public health interventions, proper concentration and extraction of viral RNA is a key step in ensuring accurate detections. With many commercial RNA extraction kits and methodologies available, the performance of 4 different kits were evaluated for SARS-CoV-2 RNA detection in wastewater, specifically focusing on their applicability to lower population densities such as those at university campus dorms. Raw wastewater samples were collected at 4 sites on a college campus over a 24 hour period as a composite sample. Included in these sites was an isolation site that housed students that tested positive for Covid-19 via nasopharyngeal swabs. These samples were analyzed using the following kits: Qiagen All Prep PowerViral DNA/RNA kit, New England BioLabs Monarch RNA MiniPrep Kit, and Zymo Quick RNA-Viral Kit, and the Zymo Quick-RNA Fecal/Soil Microbe MicroPrep Kit. All four sites were processed according to the manufacturer's guidelines. Extractions were then quantified with RT-qPCR one-step reactions using an N2 primer and a linearized plasmid standard. While the Zymo Quick-RNA Fecal/Soil Microbe MicroPrep Kit (also known as the Zymo Environ Water RNA Kit) only recovered approximately 73% (±38%) SARS-CoV-2 RNA compared to the Zymo Quick-RNA Viral kit, it was the most time efficient kit to yield comparable results. This extraction kit had a cumulative processing time of approximately 5 h compared, while the other three kits had processing times between approximately 9 and 9.5 h. Based on the current research, the most effective kits for smaller population densities are pellet based and include a homogenization, inhibitor removal, and RNA preservation step.
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Affiliation(s)
- Megan O'Brien
- Molecular Biosciences Center, Baylor University, Waco, TX 76798, USA
| | - Zachary C Rundell
- Center for Reservoir and Aquatic Systems, Baylor University, Waco, TX 76798, USA
| | - Michelle D Nemec
- Molecular Biosciences Center, Baylor University, Waco, TX 76798, USA
| | - Laura M Langan
- Department of Environmental Sciences, Baylor University, Waco, TX 76798, USA
| | - Jeffrey A Back
- Center for Reservoir and Aquatic Systems, Baylor University, Waco, TX 76798, USA
| | - Joaquin N Lugo
- Department of Psychology and Neuroscience, Baylor University, Waco, TX 76798, USA.
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9
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Cutrupi F, Cadonna M, Manara S, Foladori P. Surveillance of SARS-CoV-2 in extensive monitoring of municipal wastewater: key issues to yield reliable results. WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2021; 84:3508-3514. [PMID: 34928822 DOI: 10.2166/wst.2021.469] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Several studies have detected SARS-CoV-2 in the stool of infected people as in urban wastewater. The quantification of SARS-CoV-2 in wastewater appears today as a powerful tool that can help in wastewater-based epidemiology (WBE). The goal is to improve the prediction of new waves of COVID-19 outbreaks and provide an early warning of the evolution of the infection. In this research, we highlighted some practical and scientific aspects that emerged during an extensive ongoing monitoring campaign carried out on a large number of wastewater treatment plants located in the province of Trento (North Italy) and aimed at the detection of SARS-CoV-2 in raw municipal wastewater. The open issues underline are related to the collection and storage (sampling protocol, storage and heat treatment), to the molecular analysis (enrichment phase), and to the mathematical calculation of SARS-CoV-2 load in wastewater, suitable for WBE (standard curve to obtain the concentration of genomic units and flow rate measurements). This study provides some insights that can help in the implementation of surveillance plans in other regions.
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Affiliation(s)
- F Cutrupi
- Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, via Mesiano, n. 77, 38123 Trento, Italy E-mail:
| | - M Cadonna
- ADEP - Agenzia per la Depurazione, Autonomous Province of Trento, via Gilli, n. 3, 38121 Trento, Italy
| | - S Manara
- Department of Cellular Computational and Integrative Biology (CIBIO), University of Trento, via Sommarive, n. 9, 38123 Trento, Italy
| | - P Foladori
- Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, via Mesiano, n. 77, 38123 Trento, Italy E-mail:
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10
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Girón-Navarro R, Linares-Hernández I, Castillo-Suárez LA. The impact of coronavirus SARS-CoV-2 (COVID-19) in water: potential risks. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:52651-52674. [PMID: 34453253 PMCID: PMC8397333 DOI: 10.1007/s11356-021-16024-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 08/14/2021] [Indexed: 06/02/2023]
Abstract
This review summarizes research data on SARS-CoV-2 in water environments. A literature survey was conducted using the electronic databases Science Direct, Scopus, and Springer. This complete research included and discussed relevant studies that involve the (1) introduction, (2) definition and features of coronavirus, (2.1) structure and classification, (3) effects on public health, (4) transmission, (5) detection methods, (6) impact of COVID-19 on the water sector (drinking water, cycle water, surface water, wastewater), (6.5) wastewater treatment, and (7) future trends. The results show contamination of clean water sources, and community drinking water is vulnerable. Additionally, there is evidence that sputum, feces, and urine contain SARS-CoV-2, which can maintain its viability in sewage and the urban-rural water cycle to move towards seawater or freshwater; thus, the risk associated with contracting COVID-19 from contact with untreated water or inadequately treated wastewater is high. Moreover, viral loads have been detected in surface water, although the risk is lower for countries that efficiently treat their wastewater. Further investigation is immediately required to determine the persistence and mobility of SARS-CoV-2 in polluted water and sewage as well as the possible potential of disease transmission via drinking water. Conventional wastewater treatment systems have been shown to be effective in removing the virus, which plays an important role in pandemic control. Monitoring of this virus in water is extremely important as it can provide information on the prevalence and distribution of the COVID-19 pandemic in different communities as well as possible infection dynamics to prevent future outbreaks.
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Affiliation(s)
- Rocío Girón-Navarro
- Instituto Interamericano de Tecnología y Ciencias del Agua (IITCA), Universidad Autónoma del Estado de México, Km 14.5 carretera Toluca-Atlacomulco, C.P, 50200, Toluca, Estado de México, Mexico
| | - Ivonne Linares-Hernández
- Instituto Interamericano de Tecnología y Ciencias del Agua (IITCA), Universidad Autónoma del Estado de México, Km 14.5 carretera Toluca-Atlacomulco, C.P, 50200, Toluca, Estado de México, Mexico.
| | - Luis Antonio Castillo-Suárez
- Instituto Interamericano de Tecnología y Ciencias del Agua (IITCA), Universidad Autónoma del Estado de México, Km 14.5 carretera Toluca-Atlacomulco, C.P, 50200, Toluca, Estado de México, Mexico.
- Consejo Mexiquense de Ciencia y Tecnología - COMECYT, Diagonal Alfredo del Mazo 198 y 103, Guadalupe y Club Jardín, C.P. 50010, Toluca de Lerdo, Estado de México, México.
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11
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Singh A, Haq I. Novel coronavirus disease (COVID-19): origin, transmission through the environment, health effects, and mitigation strategies-a review. ENVIRONMENTAL SUSTAINABILITY (SINGAPORE) 2021; 4:515-526. [PMID: 36761792 PMCID: PMC8407402 DOI: 10.1007/s42398-021-00204-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 07/18/2021] [Accepted: 07/21/2021] [Indexed: 01/08/2023]
Abstract
The novel coronavirus disease (COVID-19), caused by severe acute respiratory coronavirus-2 (SARS-CoV-2), was first identified in China and subsequently spread globally, resulting in a severe pandemic, and officially declared a significant health emergency by World Health Organization (WHO). Genetic analysis of coronavirus isolated from bats, snakes, and Malay pangolins suggested that they could be intermediate hosts for SARS-CoV-2. The transfer of virus from person to person has been confirmed widely, while the actual source of origin is still unknown. COVID-19 is a highly contagious and infectious disease, and the worldwide transmission of coronavirus has intense effects on the lives of human beings. The spread of the virus is observed mainly through close contact with the infected person due to coughing, sniffing or indirectly through the contaminated surfaces. If people touch contaminated surfaces through their hands, mouth, nose, or eye, it enters the body and causes disease. Also, the virus may transmit through air droplets, water, food, fecal-oral transmission, etc. The infection of virus in human beings could be detected by direct symptoms, or different diagnostic tools are available to determine the viral load. Various safety measures are used to contain the virus, including disinfectants, antiviral drugs, vaccines, wearing masks, social distancing, etc. In the present review, we have focused on transmission of COVID-19 through air and wastewater as environmental transmission modes. We have also discussed the origin of the virus, its mode of action, host immune response, vulnerability, varying symptoms and diagnosis, prevention and control. Further, we have discussed the various treatment options to cope with this viral outbreak. Graphical abstract
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Affiliation(s)
- Anshu Singh
- Defence Institute of Bio-Energy Research-DRDO, Haldwani, Uttarakhand 263139 India
| | - Izharul Haq
- Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039 India
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Buonerba A, Corpuz MVA, Ballesteros F, Choo KH, Hasan SW, Korshin GV, Belgiorno V, Barceló D, Naddeo V. Coronavirus in water media: Analysis, fate, disinfection and epidemiological applications. JOURNAL OF HAZARDOUS MATERIALS 2021; 415:125580. [PMID: 33735767 PMCID: PMC7932854 DOI: 10.1016/j.jhazmat.2021.125580] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/02/2021] [Accepted: 03/02/2021] [Indexed: 05/03/2023]
Abstract
Considerable attention has been recently given to possible transmission of SARS-CoV-2 via water media. This review addresses this issue and examines the fate of coronaviruses (CoVs) in water systems, with particular attention to the recently available information on the novel SARS-CoV-2. The methods for the determination of viable virus particles and quantification of CoVs and, in particular, of SARS-CoV-2 in water and wastewater are discussed with particular regard to the methods of concentration and to the emerging methods of detection. The analysis of the environmental stability of CoVs, with particular regard of SARS-CoV-2, and the efficacy of the disinfection methods are extensively reviewed as well. This information provides a broad view of the state-of-the-art for researchers involved in the investigation of CoVs in aquatic systems, and poses the basis for further analyses and discussions on the risk associated to the presence of SARS-CoV-2 in water media. The examined data indicates that detection of the virus in wastewater and natural water bodies provides a potentially powerful tool for quantitative microbiological risk assessment (QMRA) and for wastewater-based epidemiology (WBE) for the evaluation of the level of circulation of the virus in a population. Assays of the viable virions in water media provide information on the integrity, capability of replication (in suitable host species) and on the potential infectivity. Challenges and critical issues relevant to the detection of coronaviruses in different water matrixes with both direct and surrogate methods as well as in the implementation of epidemiological tools are presented and critically discussed.
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Affiliation(s)
- Antonio Buonerba
- Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, Fisciano, SA, Italy; Inter-University Centre for Prediction and Prevention of Relevant Hazards (Centro Universitario per la Previsione e Prevenzione Grandi Rischi, C.U.G.RI.), Via Giovanni Paolo II, Fisciano, SA, Italy
| | - Mary Vermi Aizza Corpuz
- Environmental Engineering Program, National Graduate School of Engineering, University of the Philippines, 1101 Diliman, Quezon City, Philippines
| | - Florencio Ballesteros
- Environmental Engineering Program, National Graduate School of Engineering, University of the Philippines, 1101 Diliman, Quezon City, Philippines
| | - Kwang-Ho Choo
- Department of Environmental Engineering, Kyungpook National University (KNU), 80 Daehak-ro, Bukgu, Daegu 41566, Republic of Korea
| | - Shadi W Hasan
- Center for Membranes and Advanced Water Technology (CMAT), Department of Chemical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Gregory V Korshin
- Department of Civil and Environmental Engineering, University of Washington, Box 352700, Seattle, WA 98105-2700, United States
| | - Vincenzo Belgiorno
- Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, Fisciano, SA, Italy
| | - Damià Barceló
- Catalan Institute for Water Research (ICR-CERCA), H2O Building, Scientific and Technological Park of the University of Girona, Emili Grahit 101, 17003 Girona, Spain
| | - Vincenzo Naddeo
- Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, Fisciano, SA, Italy.
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Tanhaei M, Mohebbi SR, Hosseini SM, Rafieepoor M, Kazemian S, Ghaemi A, Shamloei S, Mirjalali H, Asadzadeh Aghdaei H, Zali MR. The first detection of SARS-CoV-2 RNA in the wastewater of Tehran, Iran. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:38629-38636. [PMID: 33738744 PMCID: PMC7972808 DOI: 10.1007/s11356-021-13393-9] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 03/08/2021] [Indexed: 05/03/2023]
Abstract
Following the official announcement of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) worldwide pandemic spread by WHO on March 11, 2020, more than 300,000 COVID-19 cases reported in Iran resulting in approximately 17,000 deaths as of August 2, 2020. In the present survey, we investigated the presence of SARS-CoV-2 RNA in raw and treated wastewater samples in Tehran, Iran. Untreated and treated wastewater samples were gathered from four wastewater treatment plants over a month period from June to July 2020. Firstly, an adsorption-elution concentration method was tested using an avian coronavirus (infectious bronchitis virus, IBV). Then, the method was effectively employed to survey the presence of SARS-CoV-2 genome in influent and effluent wastewater samples. SARS-CoV-2 RNA was found in 8 out of 10 treated wastewater samples utilizing a reverse transcription-quantitative polymerase chain reaction (RT-qPCR) test to detect ORF1ab and N genes. Moreover, the rate of positivity in wastewater samples increased in last sample collection that shows circulation of SARS-CoV-2 was increased among the population. In addition, the high values detected in effluent wastewater from local wastewater treatment plants have several implications in health and ecology that should be further assessed.
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Affiliation(s)
- Mohammad Tanhaei
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyed Reza Mohebbi
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Arabi str., Yaman Ave., Velenjak, Tehran, Iran.
| | - Seyed Masoud Hosseini
- Department of Microbiology and Microbial Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
| | - Maedeh Rafieepoor
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shabnam Kazemian
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Arabi str., Yaman Ave., Velenjak, Tehran, Iran
| | - Amir Ghaemi
- Department of Virology, Pasteur Institute of Iran, Tehran, Iran
| | - Sharareh Shamloei
- Department of Water and Wastewater Quality Control Laboratory, Water and Wastewater Company, Tehran, Iran
| | - Hamed Mirjalali
- Foodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamid Asadzadeh Aghdaei
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Zali
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Arabi str., Yaman Ave., Velenjak, Tehran, Iran
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Ormaza-Gonzaìlez FI, Castro-Rodas D, Statham PJ. COVID-19 Impacts on Beaches and Coastal Water Pollution at Selected Sites in Ecuador, and Management Proposals Post-pandemic. FRONTIERS IN MARINE SCIENCE 2021. [PMID: 0 DOI: 10.3389/fmars.2021.669374] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
The COVID-19 pandemic has obliged Governments all around the world to implement confinement and social distancing measures. Leisure and business activities on beaches and in ports have restricted direct and indirect contamination from, for example, plastics, hydrocarbon spillage, microbiological loads, and noise levels. This has led to temporarily improved environmental conditions, and the beaches having conditions closer to Marine Protected Areas. Here we report some impacts that have been studied using local surveys and qualitative observations in Ecuador at the popular beaches and ports of Salinas, Manta, and Galapagos. Satellite data support this information. Online surveys were carried out at critical moments of the pandemic: May (15th) and just after when measures were relaxed a little, but within lockdown in July (21st) 2020. Respondents were asked to compare conditions before and during the pandemic lockdown. Most (97–99%) suggested that beaches had significantly improved from visual observations during confinement. On a scale from 1 (worst) to 5 (best), the beaches of Salinas and Manta respectively were rated 2.2 and 2.8 (less than acceptable) before quarantine, and 4.5 and 4.3 after; results from the second survey (after 18 weeks of restrictions) were much the same. Replies from Galapagos showed a similar trend but with less marked differences. In addition to the beaches having less plastic and garbage, more fish, and large marine organisms, including humpback whales (Megaptera novaeangliae), dolphin (bottlenose, Tursiops truncatus), and manta ray (Manta sp.) were observed near to shore. At Galapagos beaches, turtles, sea lions, and sharks were observed many more times than pre COVID. Quantitative satellite data on Chlorophyl and attenuation coefficient (Kd, 490 nm) support the qualitative survey data that there is an improvement in coastal environment quality. Here we recommend that this unique opportunity resulting from the COVID-19 pandemic is used locally, regionally and globally to construct baseline data sets that include information on physical, chemical, biological, and microbiological factors in coastal zones. These parameters can then help establish an effective Coastal Zone Management Plan based on beach description and quality (water standards, noise pollution), as well as the human dimension (tourist load, cultural heritage, and economic value indices). This data and information gathering ideally should be done before the beaches become more heavily used again as the pandemic recedes.
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Zhao J, Li B, Lv P, Hou J, Qiu Y, Huang X. Distribution of antibiotic resistance genes and their association with bacteria and viruses in decentralized sewage treatment facilities. FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING 2021; 16:35. [PMID: 34249401 PMCID: PMC8255336 DOI: 10.1007/s11783-021-1469-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 05/13/2021] [Accepted: 05/24/2021] [Indexed: 05/24/2023]
Abstract
The distribution of antibiotic resistance genes (ARGs) has been intensively studied in large-scale wastewater treatment plants and livestock sources. However, small-scale decentralized sewage treatment facilities must also be explored due to their possible direct exposure to residents. In this study, six wastewater treatment facilities in developed rural areas in eastern China were investigated to understand their risks of spreading ARGs. Using metagenomics and network analysis tools, ARGs and bacterial and viral communities were identified in the influent (INF) and effluent (EFF) samples. The dominant ARGs belonged to the bacitracin class, which are different from most of municipal wastewater treatment plants (WWTPs). The dominant hosts of ARGs are Acidovorax in bacterial communities and Prymnesiovirus in viral communities. Furthermore, a positive relationship was found between ARGs and phages. The ARGs significantly correlated with phages were all hosted by specific genera of bacteria, indicating that phages had contributed to the ARG's proliferation in sewage treatment facilities. Paying significant concern on the possible enhanced risks caused by bacteria, viruses and their related ARGs in decentralized sewage treatment facilities is necessary. ELECTRONIC SUPPLEMENTARY MATERIAL Supplementary material is available in the online version of this article at 10.1007/s11783-021-1469-4 and is accessible for authorized users.
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Affiliation(s)
- Jiaheng Zhao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083 China
| | - Bing Li
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083 China
| | - Pin Lv
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083 China
| | - Jiahui Hou
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083 China
| | - Yong Qiu
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084 China
| | - Xia Huang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084 China
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16
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Corpuz MVA, Buonerba A, Vigliotta G, Zarra T, Ballesteros F, Campiglia P, Belgiorno V, Korshin G, Naddeo V. Viruses in wastewater: occurrence, abundance and detection methods. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 745:140910. [PMID: 32758747 PMCID: PMC7368910 DOI: 10.1016/j.scitotenv.2020.140910] [Citation(s) in RCA: 145] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 07/09/2020] [Accepted: 07/10/2020] [Indexed: 04/14/2023]
Abstract
This paper presents an updated and comprehensive review on the different methods used for detection and quantification of viruses in wastewater treatment systems. The analysis of viability of viruses in wastewater and sludge is another thrust of this review. Recent studies have mostly focused on determining the abundance and diversity of viruses in wastewater influents, in samples from primary, secondary, and tertiary treatment stages, and in final effluents. A few studies have also examined the occurrence and diversity of viruses in raw and digested sludge samples. Recent efforts to improve efficiency of virus detection and quantification methods in the complex wastewater and sludge matrices are highlighted in this review. A summary and a detailed comparison of the pre-treatment methods that have been utilized for wastewater and sludge samples are also presented. The role of metagenomics or sequencing analysis in monitoring wastewater systems to predict disease outbreaks, to conduct public health surveillance, to assess the efficiency of existing treatment systems in virus removal, and to re-evaluate current regulations regarding pathogenic viruses in wastewater is discussed in this paper. Challenges and future perspectives in the detection of viruses, including emerging and newly emerged viruses such as the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), in wastewater systems are discussed in this review.
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Affiliation(s)
- Mary Vermi Aizza Corpuz
- Environmental Engineering Program, National Graduate School of Engineering, University of the Philippines, 1101 Diliman, Quezon City, Philippines.
| | - Antonio Buonerba
- Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, 84084, Fisciano (SA), Italy; Inter-University Centre for Prediction and Prevention of Major Hazards (C.U.G.RI.), Via Giovanni Paolo II, 84084, Fisciano (SA), Italy.
| | - Giovanni Vigliotta
- Laboratory of Microbiology, University of Salerno, 84084 Fisciano, Italy.
| | - Tiziano Zarra
- Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, 84084, Fisciano (SA), Italy; Inter-University Centre for Prediction and Prevention of Major Hazards (C.U.G.RI.), Via Giovanni Paolo II, 84084, Fisciano (SA), Italy.
| | - Florencio Ballesteros
- Environmental Engineering Program, National Graduate School of Engineering, University of the Philippines, 1101 Diliman, Quezon City, Philippines; Department of Chemical Engineering, College of Engineering, University of the Philippines, 1101 Diliman, Quezon City, Philippines.
| | - Pietro Campiglia
- Department of Pharmacy, University of Salerno, 84084 Fisciano, Italy.
| | - Vincenzo Belgiorno
- Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, 84084, Fisciano (SA), Italy; Inter-University Centre for Prediction and Prevention of Major Hazards (C.U.G.RI.), Via Giovanni Paolo II, 84084, Fisciano (SA), Italy.
| | - Gregory Korshin
- Department of Civil and Environmental Engineering, University of Washington, Box 352700, Seattle, WA 98105-2700, United States.
| | - Vincenzo Naddeo
- Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, 84084, Fisciano (SA), Italy; Inter-University Centre for Prediction and Prevention of Major Hazards (C.U.G.RI.), Via Giovanni Paolo II, 84084, Fisciano (SA), Italy.
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Polo D, Quintela-Baluja M, Corbishley A, Jones DL, Singer AC, Graham DW, Romalde JL. Making waves: Wastewater-based epidemiology for COVID-19 - approaches and challenges for surveillance and prediction. WATER RESEARCH 2020; 186:116404. [PMID: 32942178 PMCID: PMC7480445 DOI: 10.1016/j.watres.2020.116404] [Citation(s) in RCA: 212] [Impact Index Per Article: 42.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/13/2020] [Accepted: 09/06/2020] [Indexed: 05/17/2023]
Abstract
The presence of SARS-CoV-2 in the feces of infected patients and wastewater has drawn attention, not only to the possibility of fecal-oral transmission but also to the use of wastewater as an epidemiological tool. The COVID-19 pandemic has highlighted problems in evaluating the epidemiological scope of the disease using classical surveillance approaches, due to a lack of diagnostic capacity, and their application to only a small proportion of the population. As in previous pandemics, statistics, particularly the proportion of the population infected, are believed to be widely underestimated. Furthermore, analysis of only clinical samples cannot predict outbreaks in a timely manner or easily capture asymptomatic carriers. Threfore, community-scale surveillance, including wastewater-based epidemiology, can bridge the broader community and the clinic, becoming a valuable indirect epidemiological prediction tool for SARS-CoV-2 and other pandemic viruses. This article summarizes current knowledge and discusses the critical factors for implementing wastewater-based epidemiology of COVID-19.
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Affiliation(s)
- David Polo
- Department of Microbiology and Parasitology, CIBUS-Facultade de Bioloxía & Institute CRETUS, Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain.
| | - Marcos Quintela-Baluja
- School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom
| | - Alexander Corbishley
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, United Kingdom
| | - Davey L Jones
- Environment Centre Wales, Bangor University, Bangor, Gwynedd, LL57 2UW, United Kingdom; UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia
| | - Andrew C Singer
- UK Centre for Ecology & Hydrology. Wallingford, Oxfordshire, OX10 8BB, United Kingdom
| | - David W Graham
- School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom
| | - Jesús L Romalde
- Department of Microbiology and Parasitology, CIBUS-Facultade de Bioloxía & Institute CRETUS, Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain.
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Venugopal A, Ganesan H, Sudalaimuthu Raja SS, Govindasamy V, Arunachalam M, Narayanasamy A, Sivaprakash P, Rahman PKSM, Gopalakrishnan AV, Siama Z, Vellingiri B. Novel wastewater surveillance strategy for early detection of coronavirus disease 2019 hotspots. CURRENT OPINION IN ENVIRONMENTAL SCIENCE & HEALTH 2020; 17:8-13. [PMID: 32501429 PMCID: PMC7245214 DOI: 10.1016/j.coesh.2020.05.003] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
The novel coronavirus disease 2019, a pandemic of global concern, caused by the novel severe acute respiratory syndrome coronavirus 2 has severely revealed the need for public monitoring and efficient screening techniques. Despite the various advancements made in the medical and research field, containment of this virus has proven to be difficult on several levels. As such, it is a necessary requirement to identify possible hotspots in the early stages of any disease. Based on previous studies carried out on coronaviruses, there is a high likelihood that severe acute respiratory syndrome coronavirus 2 may also survive in wastewater. Hence, we propose the use of nanofiber filters as a wastewater pretreatment routine and upgradation of existing wastewater evaluation and treatment systems to serve as a beneficial surveillance tool.
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Affiliation(s)
- Anila Venugopal
- Human Molecular Cytogenetics and Stem Cell Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore 641046, Tamil Nadu, India
| | - Harsha Ganesan
- Human Molecular Cytogenetics and Stem Cell Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore 641046, Tamil Nadu, India
| | - Suresh Selvapuram Sudalaimuthu Raja
- Department of Microbiology, Government Arts and Science College (Affiliated to Bharathidasan University, Trichy), Perambalur 621107, Tamil Nadu, India
| | | | - Manimekalan Arunachalam
- Department of Environmental Sciences, Bharathiar University, Coimbatore 641 046, Tamil Nadu, India
| | - Arul Narayanasamy
- Disease Proteomics Laboratory, Department of Zoology, Bharathiar University, Coimbatore 641 046, Tamil Nadu, India
| | - Palanisamy Sivaprakash
- Centre for Environmental Awareness, Department of Mechanical Engineering, Dr.N.G.P. Institute of Technology, Coimbatore 641048, Tamil Nadu, India
| | - Pattanathu K S M Rahman
- Deploy Lead - Centre for Enzyme Innovation, Office No: 6.06, King Henry Building, School of Biological Science, University of Portsmouth, Portsmouth PO1 2DY, UK
| | - Abilash Valsala Gopalakrishnan
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, VIT, Vellore 632014, Tamil Nadu, India
| | - Zothan Siama
- Department of Zoology, School of Life-science, Mizoram University, Aizawl 796004, Mizoram, India
| | - Balachandar Vellingiri
- Human Molecular Cytogenetics and Stem Cell Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore 641046, Tamil Nadu, India
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