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Ribeiro AVC, Mannarino CF, Dos Santos Leal T, de Oliveira CS, Bianco K, Clementino MM, Novo SPC, Prado T, de Castro EDSG, Lermontov A, Fumian TM, Miagostovich MP. Environmental Dissemination of SARS-CoV-2: An Analysis Employing Crassphage and Next-Generation Sequencing Protocols. FOOD AND ENVIRONMENTAL VIROLOGY 2025; 17:13. [PMID: 39776004 DOI: 10.1007/s12560-024-09620-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Accepted: 11/07/2024] [Indexed: 01/11/2025]
Abstract
This study aimed to investigate the dissemination of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in water samples obtained during the coronavirus disease 2019 pandemic period, employing cross-assembly phage (crAssphage) as a fecal contamination biomarker and next-generation sequencing protocols to characterize SARS-CoV-2 variants. Raw wastewater and surface water (stream and sea) samples were collected for over a month in Rio de Janeiro, Brazil. Ultracentrifugation and negatively charged membrane filtration were employed for viral concentration of the wastewater and surface water samples, respectively. Viruses were detected and quantified by (RT-)qPCR applying TaqMan® system protocols. SARS-CoV-2 RNA signals were detected in 92.5% (37/40) of the wastewater samples and in 31.25% (10/32) of the stream water samples, but not in seawater samples. CrAssphage was detected in 100% of the wastewater samples, 93.75% (30/32) of the stream samples, and in 2/4 of the seawater samples. CrAssphage detection and high concentrations in stream surface waters (median 8.95 log10 gc/L) revealed diffuse contamination by domestic wastewater in a region with high sanitary coverage. The correlations detected between SARS-CoV-2 data and the moving averages of clinical cases per capita over the sampling period were moderate to strong when applying a 13-day offset, regardless of normalization by crAssphage data or not. Sequencing of the receptor-binding domain of the spike protein confirmed the detection of SARS-CoV-2, but did not characterize the circulating variant. On the other hand, the whole genome sequencing protocol identified circulation of the Gamma variant, corroborating the sampling period clinical data.
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Affiliation(s)
- André Vinicius Costa Ribeiro
- Stricto Sensu Graduate Program in Cellular and Molecular Biology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040-360, Brazil.
- Department of Sanitation and Environmental Health, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Av. Brasil, 4365, Manguinhos, Rio de Janeiro, RJ, CEP 21040-360, Brazil.
| | - Camille Ferreira Mannarino
- Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040-360, Brazil
| | - Thiago Dos Santos Leal
- Niterói City Hall/Secretariat for Environment, Water Resources and Sustainability, Niterói, 24020-206, Brazil
| | - Carla Santos de Oliveira
- Laboratory of Arbovirus and Hemorrhagic Virus, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040-360, Brazil
| | - Kayo Bianco
- National Institute of Quality Control in Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040-360, Brazil
| | - Maysa Mandetta Clementino
- National Institute of Quality Control in Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040-360, Brazil
| | - Shênia Patricia Corrêa Novo
- Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040-360, Brazil
| | - Tatiana Prado
- Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040-360, Brazil
| | | | - André Lermontov
- Federal University of Rio de Janeiro, Av. Athos da Silveira Ramos, 149 - Cidade Universitária, Rio de Janeiro, 21941-909, Brazil
| | - Tulio Machado Fumian
- Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040-360, Brazil
| | - Marize Pereira Miagostovich
- Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040-360, Brazil
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Thompson C, Leal CV, da Silva Faustino R, Leomil L, Jagadeeshwari U, Sharma R, de Oliveira M, Tschoeke D, Felix T, Macedo L, Khouri R, Koolen H, Landuci F, de Rezende C, Strobel Í, de Moraes L, P Ramos PI, de Souza H, Motta F, Barral-Netto M, Aguiar-Oliveira MDL, de Siqueira M, Sasikala C, Thompson F. Co-occurrence of SARS-CoV-2 variants in rivers and sewage in India and Brazil. THE SCIENCE OF THE TOTAL ENVIRONMENT 2025; 958:178089. [PMID: 39705959 DOI: 10.1016/j.scitotenv.2024.178089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Revised: 12/10/2024] [Accepted: 12/10/2024] [Indexed: 12/23/2024]
Abstract
The genomic monitoring of SARS-CoV-2 variants of concern (VOCs) in riverine and sewage water has been widely used as an epidemiological tool worldwide. But its utility for epidemiological assessments still needs to be evaluated in some areas. Our study encompassed thirteen Brazilian rivers spanning a vast urban expanse across the states of Rio de Janeiro, São Paulo, and Paraná. The sampled rivers in Rio de Janeiro are heavily contaminated with sewage. Meanwhile, the Indian samples were all wastewater before joining the water bodies from urban regions (Andhra Pradesh and Telangana). The viral copies were quantified using quantitative polymerase chain reaction (qPCR) in all examined samples (N = 91). The abundance of viral particles varied from 567 to 85,700,000 copies/ml. Subsequently, Illumina CovidSeq was applied to identify the major variants. In Brazil, while a single SARS-CoV-2 VOC was identified for just a few samples (6/50, 12 %), most samples harbored multiple VOCs (44/50, 88 %). In India only one probed sample had a single variant identified. Gamma (2021) and Omicron (2021 and 2022) were the most abundant variants. Delta and Omicron genetic material were detected in Rio de Janeiro city rivers before Brazil's first cases of these variants. Several negative samples in the Real-Time RT-PCR (qPCR) turned out to have SARS-CoV-2 sequences suggesting CovidSeq was more sensitive than RT-PCR for virus detection in environmental samples. Sewage surveillance holds promise for early detection of emerging variants driving pandemic waves, exemplified by the Delta and Omicron variants, potentially offering a preemptive advantage over clinical sample reports.
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Affiliation(s)
- Cristiane Thompson
- Laboratory of Microbiology, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
| | - Camille V Leal
- Laboratory of Microbiology, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | | | - Luciana Leomil
- Laboratory of Microbiology, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Uppada Jagadeeshwari
- Bacterial Discovery Laboratory, Centre for Environment, JNTUH University College Of Engineering, Science & Technology Hyderabad (UCESTH), India
| | - Richa Sharma
- Bacterial Discovery Laboratory, Centre for Environment, JNTUH University College Of Engineering, Science & Technology Hyderabad (UCESTH), India
| | - Marcelo de Oliveira
- Laboratory of Microbiology, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Diogo Tschoeke
- Laboratory of Microbiology, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Thais Felix
- Laboratory of Microbiology, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Larissa Macedo
- Laboratory of Microbiology, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Ricardo Khouri
- Medicine and Precision Health Laboratory (MeSP2), Instituto Gonçalo Moniz, FIOCRUZ, Bahia, Brazil
| | | | - Felipe Landuci
- Laboratory of Microbiology, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Carlos de Rezende
- Laboratory of Environmental Sciences (LCA), Center of Biosciences and Biotechnology (CBB), State University of Northern of Rio de Janeiro Darcy Ribeiro (UENF), Campos dos Goytacazes, Brazil
| | - Ícaro Strobel
- Medicine and Precision Health Laboratory (MeSP2), Instituto Gonçalo Moniz, FIOCRUZ, Bahia, Brazil
| | - Laíse de Moraes
- Medicine and Precision Health Laboratory (MeSP2), Instituto Gonçalo Moniz, FIOCRUZ, Bahia, Brazil
| | - Pablo Ivan P Ramos
- Center for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, FIOCRUZ, Bahia, Brazil
| | - Heitor de Souza
- Department of Clinical Medicine, Hospital Universitário Clementino Fraga Filho (HUCFF), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Fernando Motta
- Laboratory of Respiratory Viruses, Instituto Oswaldo Cruz -FIOCRUZ, Rio de Janeiro, Brazil
| | - Manoel Barral-Netto
- Medicine and Precision Health Laboratory (MeSP2), Instituto Gonçalo Moniz, FIOCRUZ, Bahia, Brazil
| | | | - Marilda de Siqueira
- Laboratory of Respiratory Viruses, Instituto Oswaldo Cruz -FIOCRUZ, Rio de Janeiro, Brazil
| | - Chintalapati Sasikala
- Bacterial Discovery Laboratory, Centre for Environment, JNTUH University College Of Engineering, Science & Technology Hyderabad (UCESTH), India; Smart Microbiological Services, 5-3-357, Rashtrapathi Road, Secunderabad 500003, India.
| | - Fabiano Thompson
- Laboratory of Microbiology, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
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Dostálková A, Zdeňková K, Bartáčková J, Čermáková E, Kapisheva M, Lopez Marin MA, Kouba V, Sýkora P, Chmel M, Bartoš O, Dresler J, Demnerová K, Rumlová M, Bartáček J. Prevalence of SARS-CoV-2 variants in Prague wastewater determined by nanopore-based sequencing. CHEMOSPHERE 2024; 351:141162. [PMID: 38218235 DOI: 10.1016/j.chemosphere.2024.141162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 01/07/2024] [Accepted: 01/08/2024] [Indexed: 01/15/2024]
Abstract
The early detection of upcoming disease outbreaks is essential to avoid both health and economic damage. The last four years of COVID-19 pandemic have proven wastewater-based epidemiology is a reliable system for monitoring the spread of SARS-CoV-2, a causative agent of COVID-19, in an urban population. As this monitoring enables the identification of the prevalence of spreading variants of SARS-CoV-2, it could provide a critical tool in the fight against this viral disease. In this study, we evaluated the presence of variants and subvariants of SARS-CoV-2 in Prague wastewater using nanopore-based sequencing. During August 2021, the data clearly showed that the number of identified SARS-CoV-2 RNA copies increased in the wastewater earlier than in clinical samples indicating the upcoming wave of the Delta variant. New SARS-CoV-2 variants consistently prevailed in wastewater samples around a month after they already prevailed in clinical samples. We also analyzed wastewater samples from smaller sub-sewersheds of Prague and detected significant differences in SARS-CoV-2 lineage progression dynamics among individual localities studied, e.g., suggesting faster prevalence of new variants among the sites with highest population density and mobility.
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Affiliation(s)
- Alžběta Dostálková
- Department of Biotechnology, University of Chemistry and Technology Prague, Czech Republic; National Institute of Virology and Bacteriology, University of Chemistry and Technology Prague, Czech Republic
| | - Kamila Zdeňková
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Czech Republic.
| | - Jana Bartáčková
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czech Republic
| | - Eliška Čermáková
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Czech Republic
| | - Marina Kapisheva
- National Institute of Virology and Bacteriology, University of Chemistry and Technology Prague, Czech Republic
| | - Marco A Lopez Marin
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Czech Republic
| | - Vojtěch Kouba
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czech Republic
| | - Petr Sýkora
- PVK a.s., Prague Water Supply and Sewerage Company, Czech Republic
| | - Martin Chmel
- Department of Infectious Diseases, First Faculty of Medicine, Charles University and Military University Hospital Prague, Prague, Czech Republic; Military Health Institute, Military Medical Agency, Czech Republic
| | - Oldřich Bartoš
- Military Health Institute, Military Medical Agency, Czech Republic
| | - Jiří Dresler
- Military Health Institute, Military Medical Agency, Czech Republic
| | - Kateřina Demnerová
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Czech Republic
| | - Michaela Rumlová
- Department of Biotechnology, University of Chemistry and Technology Prague, Czech Republic; National Institute of Virology and Bacteriology, University of Chemistry and Technology Prague, Czech Republic
| | - Jan Bartáček
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czech Republic
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