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Itarte M, Forés E, Martínez-Puchol S, Scheiber L, Vázquez-Suñé E, Bofill-Mas S, Rusiñol M. Exploring viral contamination in urban groundwater and runoff. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174238. [PMID: 38925381 DOI: 10.1016/j.scitotenv.2024.174238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 06/21/2024] [Accepted: 06/21/2024] [Indexed: 06/28/2024]
Abstract
The reliance of the global population on urban aquifers is steadily increasing, and urban aquifers are susceptible to pathogenic contamination through sources such as sewer leakage or urban runoff. However, there is insufficient monitoring of groundwater quality in urban areas. In this study, quantitative polymerase chain reaction (qPCR) was employed to evaluate the presence of human fecal viral indicators and viral pathogens in urban wastewater (n = 13) and groundwater (n = 12) samples from four locations in Barcelona with different degrees of urbanization, as well as in runoff samples (n = 2). Additionally, a target enrichment sequencing (TES) approach was utilized to explore the viral diversity within groundwater and runoff samples, offering insights into viral contamination and potential virus transmission routes in urban areas. Human adenovirus (HAdV) was identified in all wastewater samples, 67 % (8/12) of groundwater samples, and one runoff sample by qPCR indicating human viral fecal contamination. The viral pathogen Norovirus genogroup GI (NoV GI) was detected in wastewater and two winter groundwater samples from highly and medium urbanized areas. NoV genogroup GII (NoV GII), Enterovirus (EV) and SARS-CoV-2 were exclusively detected in wastewater. Human and other vertebrate viruses were detected in groundwater and runoff samples using TES. This study gives insights about the virome present in urban water sources, emphasizing the need for thorough monitoring and deeper understanding to address emerging public health concerns.
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Affiliation(s)
- Marta Itarte
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), 08028 Barcelona, Spain; Institut de Recerca de l'Aigua (IdRA), Universitat de Barcelona (UB), 08001 Barcelona, Spain.
| | - Eva Forés
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), 08028 Barcelona, Spain; Institut de Recerca de l'Aigua (IdRA), Universitat de Barcelona (UB), 08001 Barcelona, Spain
| | - Sandra Martínez-Puchol
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), 08028 Barcelona, Spain; Vicerectorat de Recerca, Universitat de Barcelona (UB), 08007 Barcelona, Spain
| | - Laura Scheiber
- Department of Geosciences, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center of the Spanish Council for Scientific Research (CSIC), 08034 Barcelona, Spain
| | - Enric Vázquez-Suñé
- Department of Geosciences, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center of the Spanish Council for Scientific Research (CSIC), 08034 Barcelona, Spain
| | - Sílvia Bofill-Mas
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), 08028 Barcelona, Spain; Institut de Recerca de l'Aigua (IdRA), Universitat de Barcelona (UB), 08001 Barcelona, Spain
| | - Marta Rusiñol
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), 08028 Barcelona, Spain; Institut de Recerca de l'Aigua (IdRA), Universitat de Barcelona (UB), 08001 Barcelona, Spain
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2
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Itarte M, Calvo M, Martínez-Frago L, Mejías-Molina C, Martínez-Puchol S, Girones R, Medema G, Bofill-Mas S, Rusiñol M. Assessing environmental exposure to viruses in wastewater treatment plant and swine farm scenarios with next-generation sequencing and occupational risk approaches. Int J Hyg Environ Health 2024; 259:114360. [PMID: 38555823 DOI: 10.1016/j.ijheh.2024.114360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/21/2024] [Accepted: 03/18/2024] [Indexed: 04/02/2024]
Abstract
Occupational exposure to pathogens can pose health risks. This study investigates the viral exposure of workers in a wastewater treatment plant (WWTP) and a swine farm by analyzing aerosol and surfaces samples. Viral contamination was evaluated using quantitative polymerase chain reaction (qPCR) assays, and target enrichment sequencing (TES) was performed to identify the vertebrate viruses to which workers might be exposed. Additionally, Quantitative Microbial Risk Assessment (QMRA) was conducted to estimate the occupational risk associated with viral exposure for WWTP workers, choosing Human Adenovirus (HAdV) as the reference pathogen. In the swine farm, QMRA was performed as an extrapolation, considering a hypothetical zoonotic virus with characteristics similar to Porcine Adenovirus (PAdV). The modelled exposure routes included aerosol inhalation and oral ingestion through contaminated surfaces and hand-to-mouth contact. HAdV and PAdV were widespread viruses in the WWTP and the swine farm, respectively, by qPCR assays. TES identified human and other vertebrate viruses WWTP samples, including viruses from families such as Adenoviridae, Circoviridae, Orthoherpesviridae, Papillomaviridae, and Parvoviridae. In the swine farm, most of the identified vertebrate viruses were porcine viruses belonging to Adenoviridae, Astroviridae, Circoviridae, Herpesviridae, Papillomaviridae, Parvoviridae, Picornaviridae, and Retroviridae. QMRA analysis revealed noteworthy risks of viral infections for WWTP workers if safety measures are not taken. The probability of illness due to HAdV inhalation was higher in summer compared to winter, while the greatest risk from oral ingestion was observed in workspaces during winter. Swine farm QMRA simulation suggested a potential occupational risk in the case of exposure to a hypothetical zoonotic virus. This study provides valuable insights into WWTP and swine farm worker's occupational exposure to human and other vertebrate viruses. QMRA and NGS analyses conducted in this study will assist managers in making evidence-based decisions, facilitating the implementation of protection measures, and risk mitigation practices for workers.
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Affiliation(s)
- Marta Itarte
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain; Institut de Recerca de l'Aigua (IdRA), Universitat de Barcelona (UB), Barcelona, Spain.
| | - Miquel Calvo
- Secció d'Estadística, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain
| | - Lola Martínez-Frago
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain
| | - Cristina Mejías-Molina
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain; Institut de Recerca de l'Aigua (IdRA), Universitat de Barcelona (UB), Barcelona, Spain
| | - Sandra Martínez-Puchol
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain
| | - Rosina Girones
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain; Institut de Recerca de l'Aigua (IdRA), Universitat de Barcelona (UB), Barcelona, Spain
| | | | - Sílvia Bofill-Mas
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain; Institut de Recerca de l'Aigua (IdRA), Universitat de Barcelona (UB), Barcelona, Spain
| | - Marta Rusiñol
- Laboratory of Viruses Contaminants of Water and Food, Secció de Microbiologia, Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain; Institut de Recerca de l'Aigua (IdRA), Universitat de Barcelona (UB), Barcelona, Spain
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3
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Schaeffer J, Desdouits M, Besnard A, Le Guyader FS. Looking into sewage: how far can metagenomics help to detect human enteric viruses? Front Microbiol 2023; 14:1161674. [PMID: 37180249 PMCID: PMC10166864 DOI: 10.3389/fmicb.2023.1161674] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 04/03/2023] [Indexed: 05/16/2023] Open
Abstract
The impact of human sewage on environmental and food contamination constitutes an important safety issue. Indeed, human sewage reflects the microbiome of the local population, and a variety of human viruses can be detected in wastewater samples. Being able to describe the diversity of viruses present in sewage will provide information on the health of the surrounding population health and will help to prevent further transmission. Metagenomic developments, allowing the description of all the different genomes present in a sample, are very promising tools for virome analysis. However, looking for human enteric viruses with short RNA genomes which are present at low concentrations is challenging. In this study we demonstrate the benefits of performing technical replicates to improve viral identification by increasing contig length, and the set-up of quality criteria to increase confidence in results. Our approach was able to effectively identify some virus sequences and successfully describe the viral diversity. The method yielded full genomes either for norovirus, enterovirus and rotavirus, even if, for these segmented genomes, combining genes remain a difficult issue. Developing reliable viromic methods is important as wastewater sample analysis provides an important tool to prevent further virus transmission by raising alerts in case of viral outbreaks or emergence.
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Affiliation(s)
| | | | | | - Françoise S. Le Guyader
- Ifremer, Laboratoire de Microbiologie, U. Microbiologie Aliment Santé et Environnement, Nantes, France
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Li Y, Xue L, Gao J, Cai W, Zhang Z, Meng L, Miao S, Hong X, Xu M, Wu Q, Zhang J. A systematic review and meta-analysis indicates a substantial burden of human noroviruses in shellfish worldwide, with GII.4 and GII.2 being the predominant genotypes. Food Microbiol 2023; 109:104140. [DOI: 10.1016/j.fm.2022.104140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 09/07/2022] [Accepted: 09/07/2022] [Indexed: 10/14/2022]
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Benchmarking Bioinformatic Tools for Amplicon-Based Sequencing of Norovirus. Appl Environ Microbiol 2023; 89:e0152222. [PMID: 36541780 PMCID: PMC9888279 DOI: 10.1128/aem.01522-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
In order to survey noroviruses in our environment, it is essential that both wet-lab and computational methods are fit for purpose. Using a simulated sequencing data set, denoising-based (DADA2, Deblur and USEARCH-UNOISE3) and clustering-based pipelines (VSEARCH and FROGS) were compared with respect to their ability to represent composition and sequence information. Open source classifiers (Ribosomal Database Project [RDP], BLASTn, IDTAXA, QIIME2 naive Bayes, and SINTAX) were trained using three different databases: a custom database, the NoroNet database, and the Human calicivirus database. Each classifier and database combination was compared from the perspective of their classification accuracy. VSEARCH provides a robust option for analyzing viral amplicons based on composition analysis; however, all pipelines could return OTUs with high similarity to the expected sequences. Importantly, pipeline choice could lead to more false positives (DADA2) or underclassification (FROGS), a key aspect when considering pipeline application for source attribution. Classification was more strongly impacted by the classifier than the database, although disagreement increased with norovirus GII.4 capsid variant designation. We recommend the use of the RDP classifier in conjunction with VSEARCH; however, maintenance of the underlying database is essential for optimal use. IMPORTANCE In benchmarking bioinformatic pipelines for analyzing high-throughput sequencing (HTS) data sets, we provide method standardization for bioinformatics broadly and specifically for norovirus in situations for which no officially endorsed methods exist at present. This study provides recommendations for the appropriate analysis and classification of norovirus amplicon HTS data and will be widely applicable during outbreak investigations.
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Dong L, Jia T, Yu Y, Wang Y. Updating a New Semi-nested PCR Primer Pair for the Specific Detection of GII Norovirus in Oysters. FOOD AND ENVIRONMENTAL VIROLOGY 2022; 14:149-156. [PMID: 35099705 PMCID: PMC8802746 DOI: 10.1007/s12560-022-09511-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 01/12/2022] [Indexed: 06/14/2023]
Abstract
Oysters are major transmission vectors of noroviruses (NoVs) in the environment. Outbreaks of NoVs are often associated with the consumption of NoV-contaminated oysters. Laboratory confirmation of suspected oyster samples is a critical step in the surveillance and control of NoVs. Because of non-specific amplification, false-positive results are frequently obtained by semi-nested RT-PCR with the presently widely used primer set (G2SKF/G2SKR). Here, a novel universal PCR primer set N (NG2OF/NG2OR) specific for genogroup II (GII) NoVs was designed based on all GII NoV sequences available in public databases. Specific products were obtained with the primer set N when the NoV-positive oysters, spiked with each of five representative genotypes of GII NoVs (GII.17, GII.13, GII.4, GII.3, and GII.12), were subjected to analyzing. No products were detected with the primer set N for the NoV-negative oysters, while the primer set C gave various non-specific bands. Twenty-three out of 156 fresh oyster samples were NoV-positive with both the primer set N and the classic primer set, while eight were NoV-positive solely with the primer set N. Compared with the classic primer set, the newly designed primer set N had a higher detection rate and improved specificity for GII NoVs in oyster samples. These results show that the novel PCR primer pair is specific and applicable for the detection of GII NoVs in oysters.
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Affiliation(s)
- Lei Dong
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Tianhui Jia
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Yongxin Yu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai, China.
| | - Yongjie Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai, China.
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7
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Hrdy J, Vasickova P. Virus detection methods for different kinds of food and water samples – The importance of molecular techniques. Food Control 2022. [DOI: 10.1016/j.foodcont.2021.108764] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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8
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Bonny P, Schaeffer J, Besnard A, Desdouits M, Ngang JJE, Le Guyader FS. Human and Animal RNA Virus Diversity Detected by Metagenomics in Cameroonian Clams. Front Microbiol 2021; 12:770385. [PMID: 34917052 PMCID: PMC8669915 DOI: 10.3389/fmicb.2021.770385] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 10/18/2021] [Indexed: 11/13/2022] Open
Abstract
Many recent pandemics have been recognized as zoonotic viral diseases. While their origins remain frequently unknown, environmental contamination may play an important role in emergence. Thus, being able to describe the viral diversity in environmental samples contributes to understand the key issues in zoonotic transmission. This work describes the use of a metagenomic approach to assess the diversity of eukaryotic RNA viruses in river clams and identify sequences from human or potentially zoonotic viruses. Clam samples collected over 2years were first screened for the presence of norovirus to verify human contamination. Selected samples were analyzed using metagenomics, including a capture of sequences from viral families infecting vertebrates (VirCapSeq-VERT) before Illumina NovaSeq sequencing. The bioinformatics analysis included pooling of data from triplicates, quality filtering, elimination of bacterial and host sequences, and a deduplication step before de novo assembly. After taxonomic assignment, the viral fraction represented 0.8–15% of reads with most sequences (68–87%) remaining un-assigned. Yet, several mammalian RNA viruses were identified. Contigs identified as belonging to the Astroviridae were the most abundant, with some nearly complete genomes of bastrovirus identified. Picobirnaviridae sequences were related to strains infecting bats, and few others to strains infecting humans or other hosts. Hepeviridae sequences were mostly related to strains detected in sponge samples but also strains from swine samples. For Caliciviridae and Picornaviridae, most of identified sequences were related to strains infecting bats, with few sequences close to human norovirus, picornavirus, and genogroup V hepatitis A virus. Despite a need to improve the sensitivity of our method, this study describes a large diversity of RNA virus sequences from clam samples. To describe all viral contaminants in this type of food, and being able to identify the host infected by viral sequences detected, may help to understand some zoonotic transmission events and alert health authorities of possible emergence.
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Affiliation(s)
- Patrice Bonny
- Laboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France.,Département de Microbiologie, Université de Yaoundé I, Yaoundé, Cameroon.,Centre de Recherche en Alimentation et Nutrition, IMPM, Yaoundé, Cameroon
| | - Julien Schaeffer
- Laboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France
| | - Alban Besnard
- Laboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France
| | - Marion Desdouits
- Laboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France
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Hasan H, Nasirudeen NA, Ruzlan MAF, Mohd Jamil MA, Ismail NAS, Wahab AA, Ali A. Acute Infectious Gastroenteritis: The Causative Agents, Omics-Based Detection of Antigens and Novel Biomarkers. CHILDREN (BASEL, SWITZERLAND) 2021; 8:1112. [PMID: 34943308 PMCID: PMC8700514 DOI: 10.3390/children8121112] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/19/2021] [Accepted: 11/22/2021] [Indexed: 12/25/2022]
Abstract
Acute infectious gastroenteritis (AGE) is among the leading causes of mortality in children less than 5 years of age worldwide. There are many causative agents that lead to this infection, with rotavirus being the commonest pathogen in the past decade. However, this trend is now being progressively replaced by another agent, which is the norovirus. Apart from the viruses, bacteria such as Salmonella and Escherichia coli and parasites such as Entamoeba histolytica also contribute to AGE. These agents can be recognised by their respective biological markers, which are mainly the specific antigens or genes to determine the causative pathogen. In conjunction to that, omics technologies are currently providing crucial insights into the diagnosis of acute infectious gastroenteritis at the molecular level. Recent advancement in omics technologies could be an important tool to further elucidate the potential causative agents for AGE. This review will explore the current available biomarkers and antigens available for the diagnosis and management of the different causative agents of AGE. Despite the high-priced multi-omics approaches, the idea for utilization of these technologies is to allow more robust discovery of novel antigens and biomarkers related to management AGE, which eventually can be developed using easier and cheaper detection methods for future clinical setting. Thus, prediction of prognosis, virulence and drug susceptibility for active infections can be obtained. Case management, risk prediction for hospital-acquired infections, outbreak detection, and antimicrobial accountability are aimed for further improvement by integrating these capabilities into a new clinical workflow.
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Affiliation(s)
- Haziqah Hasan
- Department of Pediatric, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Kuala Lumpur 56000, Malaysia; (H.H.); (N.A.N.); (M.A.F.R.); (M.A.M.J.)
| | - Nor Ashika Nasirudeen
- Department of Pediatric, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Kuala Lumpur 56000, Malaysia; (H.H.); (N.A.N.); (M.A.F.R.); (M.A.M.J.)
| | - Muhammad Alif Farhan Ruzlan
- Department of Pediatric, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Kuala Lumpur 56000, Malaysia; (H.H.); (N.A.N.); (M.A.F.R.); (M.A.M.J.)
| | - Muhammad Aiman Mohd Jamil
- Department of Pediatric, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Kuala Lumpur 56000, Malaysia; (H.H.); (N.A.N.); (M.A.F.R.); (M.A.M.J.)
| | - Noor Akmal Shareela Ismail
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Kuala Lumpur 56000, Malaysia;
| | - Asrul Abdul Wahab
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Kuala Lumpur 56000, Malaysia;
| | - Adli Ali
- Department of Pediatric, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Kuala Lumpur 56000, Malaysia; (H.H.); (N.A.N.); (M.A.F.R.); (M.A.M.J.)
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10
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NGS Techniques Reveal a High Diversity of RNA Viral Pathogens and Papillomaviruses in Fresh Produce and Irrigation Water. Foods 2021; 10:foods10081820. [PMID: 34441597 PMCID: PMC8394881 DOI: 10.3390/foods10081820] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 07/22/2021] [Accepted: 07/31/2021] [Indexed: 02/07/2023] Open
Abstract
Fresh fruits and vegetables are susceptible to microbial contamination at every stage of the food production chain, and as a potential source of pathogens, irrigation water quality is a critical factor. Next-generation sequencing (NGS) techniques have been flourishing and expanding to a wide variety of fields. However, their application in food safety remains insufficiently explored, and their sensitivity requires improvement. In this study, quantitative polymerase chain reaction (qPCR) assays showed low but frequent contamination of common circulating viral pathogens, which were found in 46.9% of samples of fresh produce: 6/12 lettuce samples, 4/12 strawberries samples, and 5/8 parsley samples. Furthermore, the application of two different NGS approaches, target enrichment sequencing (TES) for detecting viruses that infect vertebrates and amplicon deep sequencing (ADS), revealed a high diversity of viral pathogens, especially Norovirus (NoV) and Human Papillomavirus (HPV), in fresh produce and irrigation water. All NoV and HPV types found in fresh fruit and vegetable samples were also detected in irrigation water sources, indicating that these viruses are common circulating pathogens in the population and that irrigation water may be the most probable source of viral pathogens in food samples.
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11
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Development of an RNA Extraction Protocol for Norovirus from Raw Oysters and Detection by qRT-PCR and Droplet-Digital RT-PCR. Foods 2021; 10:foods10081804. [PMID: 34441580 PMCID: PMC8393641 DOI: 10.3390/foods10081804] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 07/30/2021] [Accepted: 08/02/2021] [Indexed: 12/17/2022] Open
Abstract
Foodborne viruses such as norovirus and hepatitis A virus cause frequent outbreaks associated with the consumption of raw or undercooked oysters. Viral particles are bioaccumulated in the oyster's digestive glands, making RNA extraction and RT-PCR detection difficult due to the complex nature of the food matrix and the presence of RT-PCR inhibitors. Herein, we have developed a viral RNA extraction protocol from raw oysters using murine norovirus (MNV) as a surrogate for human noroviruses. The method combines lysis in Tri-Reagent reagent, followed by RNA extraction using Direct-Zol purification columns and lithium chloride precipitation. Viral load quantification was performed by both qRT-PCR and droplet-digital RT-PCR. We have demonstrated that this method can efficiently remove RT-PCR inhibitors, and is sensitive enough to reliably detect viral contamination at 25 PFU/0.2 g. We have also compared the efficiency of this method with the ISO 15216-1:2017 method and Method E developed by Quang and colleagues, and observed significantly higher efficiency compared with the ISO 15216-1 method and comparable efficiency with Method E, with less steps, and shorter hands-on time.
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12
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Tan MTH, Ho SX, Chu JJH, Li D. Application of virome capture sequencing in shellfish sold at retail level in Singapore. Lett Appl Microbiol 2021; 73:486-494. [PMID: 34268776 DOI: 10.1111/lam.13540] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/25/2021] [Accepted: 07/13/2021] [Indexed: 12/01/2022]
Abstract
During the period from late 2019 to early 2020, we performed a foodborne virus detection from shellfish collected in Singapore at retail level. Multiple human enteric viruses were included as our targets including human noroviruses (NoVs) GI and GII, hepatitis A virus, hepatitis E virus and rotavirus. Out of the 60 shellfish samples, 23 (38·3%) were detected to be positive by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) with human enteric viruses. Six samples were selected to proceed with virome capture sequencing with positive control samples spiked with serially diluted NoV GII clinical samples in oyster extract. As a result, the natural sample with comparable Ct values (34·0-35·0) of the spiked sample as detected by RT-qPCR generated much lower read counts (>7-log2 cumulative sum scaling difference) and genome coverage (406 nt. vs 3715 nt.), suggesting that the RT-qPCR positive signals detected from the shellfish samples collected at the retail market were likely from degraded RNA derived from inactive virus particles.
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Affiliation(s)
- M T H Tan
- Department of Food Science & Technology, Faculty of Science, National University of Singapore, Singapore
| | - S X Ho
- Laboratory of Molecular RNA Virology and Antiviral Strategies, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - J J H Chu
- Laboratory of Molecular RNA Virology and Antiviral Strategies, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Infectious Diseases Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Collaborative and Translation Unit for HFMD, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore
| | - D Li
- Department of Food Science & Technology, Faculty of Science, National University of Singapore, Singapore
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Desdouits M, Piquet JC, Wacrenier C, Le Mennec C, Parnaudeau S, Jousse S, Rocq S, Bigault L, Contrant M, Garry P, Chavanon F, Gabellec R, Lamort L, Lebrun L, Le Gall P, Meteigner C, Schmitt A, Seugnet JL, Serais O, Peltier C, Bressolette-Bodin C, Blanchard Y, Le Guyader FS. Can shellfish be used to monitor SARS-CoV-2 in the coastal environment? THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 778:146270. [PMID: 33714825 PMCID: PMC7938784 DOI: 10.1016/j.scitotenv.2021.146270] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 02/26/2021] [Accepted: 02/28/2021] [Indexed: 05/21/2023]
Abstract
The emergence and worldwide spread of SARS-CoV-2 raises new concerns and challenges regarding possible environmental contamination by this virus through spillover of human sewage, where it has been detected. The coastal environment, under increasing anthropogenic pressure, is subjected to contamination by a large number of human viruses from sewage, most of them being non-enveloped viruses like norovirus. When reaching coastal waters, they can be bio-accumulated by filter-feeding shellfish species such as oysters. Methods to detect this viral contamination were set up for the detection of non-enveloped enteric viruses, and may need optimization to accommodate enveloped viruses like coronaviruses (CoV). Here, we aimed at assessing methods for the detection of CoV, including SARS-CoV-2, in the coastal environment and testing the possibility that SARS-CoV-2 can contaminate oysters, to monitor the contamination of French shores by SARS-CoV-2 using both seawater and shellfish. Using the porcine epidemic diarrhea virus (PEDV), a CoV, as surrogate for SARS-CoV-2, and Tulane virus, as surrogate for non-enveloped viruses such as norovirus, we assessed and selected methods to detect CoV in seawater and shellfish. Seawater-based methods showed variable and low yields for PEDV. In shellfish, the current norm for norovirus detection was applicable to CoV detection. Both PEDV and heat-inactivated SARS-CoV-2 could contaminate oysters in laboratory settings, with a lower efficiency than a calicivirus used as control. Finally, we applied our methods to seawater and shellfish samples collected from April to August 2020 in France, where we could detect the presence of human norovirus, a marker of human fecal contamination, but not SARS-CoV-2. Together, our results validate methods for the detection of CoV in the coastal environment, including the use of shellfish as sentinels of the microbial quality of their environment, and suggest that SARS-CoV-2 did not contaminate the French shores during the summer season.
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Affiliation(s)
- Marion Desdouits
- Ifremer, laboratoire de Microbiologie, SG2M/LSEM, BP 21105, 44311 Nantes, France
| | - Jean-Côme Piquet
- Ifremer, laboratoire de Microbiologie, SG2M/LSEM, BP 21105, 44311 Nantes, France
| | - Candice Wacrenier
- Ifremer, laboratoire de Microbiologie, SG2M/LSEM, BP 21105, 44311 Nantes, France
| | - Cécile Le Mennec
- Ifremer, laboratoire de Microbiologie, SG2M/LSEM, BP 21105, 44311 Nantes, France
| | - Sylvain Parnaudeau
- Ifremer, laboratoire de Microbiologie, SG2M/LSEM, BP 21105, 44311 Nantes, France
| | - Sarah Jousse
- Ifremer, laboratoire de Microbiologie, SG2M/LSEM, BP 21105, 44311 Nantes, France
| | - Sophie Rocq
- Ifremer, laboratoire de Microbiologie, SG2M/LSEM, BP 21105, 44311 Nantes, France
| | - Lionel Bigault
- ANSES, Génétique Virale et Biosécurité, Ploufragan, France
| | - Maud Contrant
- ANSES, Génétique Virale et Biosécurité, Ploufragan, France
| | - Pascal Garry
- Ifremer, laboratoire de Microbiologie, SG2M/LSEM, BP 21105, 44311 Nantes, France
| | - Fabienne Chavanon
- Ifremer, Laboratoire Environnement Ressource Provence-Azur-Corse, la Seyne sur Mer, France
| | - Raoul Gabellec
- Ifremer, Laboratoire Environnement Ressource Morbihan Pays de la Loire, Lorient, France
| | - Laure Lamort
- Ifremer, Laboratoire Environnement Ressource Normandie, Port en Bessin, France
| | - Luc Lebrun
- Ifremer, Laboratoire Environnement Ressource Bretagne Occidentale, Concarneau, France
| | - Patrik Le Gall
- Ifremer, Laboratoire Environnement Ressource Bretagne Nord, Dinard, France
| | - Claire Meteigner
- Ifremer, Laboratoire Environnement Ressource Arcachon, Arcachon, France
| | - Anne Schmitt
- Ifremer, Laboratoire Environnement Ressource Morbihan Pays de la Loire, Lorient, France
| | - Jean Luc Seugnet
- Ifremer, Laboratoire Environnement Ressource Pertuis-Charentais, la Tremblade, France
| | - Ophélie Serais
- Ifremer, Laboratoire Environnement Ressource Languedoc Roussillon, Sète, France
| | - Cécile Peltier
- Nantes Université, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, 44000 Nantes, France
| | - Céline Bressolette-Bodin
- Nantes Université, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, 44000 Nantes, France
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Fitzpatrick AH, Rupnik A, O'Shea H, Crispie F, Keaveney S, Cotter P. High Throughput Sequencing for the Detection and Characterization of RNA Viruses. Front Microbiol 2021; 12:621719. [PMID: 33692767 PMCID: PMC7938315 DOI: 10.3389/fmicb.2021.621719] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 01/20/2021] [Indexed: 12/12/2022] Open
Abstract
This review aims to assess and recommend approaches for targeted and agnostic High Throughput Sequencing of RNA viruses in a variety of sample matrices. HTS also referred to as deep sequencing, next generation sequencing and third generation sequencing; has much to offer to the field of environmental virology as its increased sequencing depth circumvents issues with cloning environmental isolates for Sanger sequencing. That said however, it is important to consider the challenges and biases that method choice can impart to sequencing results. Here, methodology choices from RNA extraction, reverse transcription to library preparation are compared based on their impact on the detection or characterization of RNA viruses.
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Affiliation(s)
- Amy H. Fitzpatrick
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
- Shellfish Microbiology, Marine Institute, Oranmore, Ireland
- Biological Sciences, Munster Technological University, Cork, Ireland
| | | | - Helen O'Shea
- Biological Sciences, Munster Technological University, Cork, Ireland
| | - Fiona Crispie
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
| | | | - Paul Cotter
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
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15
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Zhang Z, Liu D, Wang D, Wu Q. Library Preparation Based on Transposase Assisted RNA/DNA Hybrid Co-Tagmentation for Next-Generation Sequencing of Human Noroviruses. Viruses 2021; 13:65. [PMID: 33418922 PMCID: PMC7825083 DOI: 10.3390/v13010065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 12/29/2020] [Accepted: 01/04/2021] [Indexed: 01/03/2023] Open
Abstract
Human noroviruses (HuNoVs) are one of the leading causes of foodborne illnesses globally. The viral genome is the most essential information for viral source tracing and viral transmission pattern monitoring. However, whole genome sequencing of HuNoVs is still challenging due to the sequence heterogeneity among different genotypes and low titer in samples. To address this need, in this study, the Transposase assisted RNA/DNA hybrid Co-tagmentation (TRACE-seq) method was established for next generation sequencing library preparation of HuNoVs. Our data demonstrated that almost the whole HuNoVs genome (>7 kb) could be obtained from all of the 11 clinical samples tested. Twelve genotypes including GI.3, GI.4, GI.5, GI.8, GII.2, GII.3, GII.4, GII.6, GII.12, GII.13, GII.14, and GII.21 were involved. Compared with the traditional method for viral metagenomics library preparation, optimized TRACE-seq greatly reduced the interference from the host's and bacterial RNAs. In addition, viral genome sequences can be assembled by using less raw data with sufficient depth along the whole genome. Therefore, for the high versatility and reliability, this method is promising for whole viral genome attainment. It is particularly applicable for the viruses with a low titer that are mixed with a complicated host background and are unable to be cultured in vitro, like the HuNoVs utilized in this study.
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Affiliation(s)
- Zilei Zhang
- Department of Food Science and Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; (Z.Z.); (D.L.)
- State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangdong Institute of Microbiology, Guangzhou 510030, China
| | - Danlei Liu
- Department of Food Science and Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; (Z.Z.); (D.L.)
- State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangdong Institute of Microbiology, Guangzhou 510030, China
| | - Dapeng Wang
- Department of Food Science and Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; (Z.Z.); (D.L.)
| | - Qingping Wu
- Department of Food Science and Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; (Z.Z.); (D.L.)
- State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangdong Institute of Microbiology, Guangzhou 510030, China
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16
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López Cabo M, Romalde JL, Simal-Gandara J, Gago Martínez A, Giráldez Fernández J, Bernárdez Costas M, Pascual del Hierro S, Pousa Ortega Á, Manaia CM, Abreu Silva J, Rodríguez Herrera J. Identification of Emerging Hazards in Mussels by the Galician Emerging Food Safety Risks Network (RISEGAL). A First Approach. Foods 2020; 9:foods9111641. [PMID: 33182842 PMCID: PMC7697966 DOI: 10.3390/foods9111641] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 10/28/2020] [Accepted: 10/30/2020] [Indexed: 01/04/2023] Open
Abstract
Emerging risk identification is a priority for the European Food Safety Authority (EFSA). The goal of the Galician Emerging Food Safety Risks Network (RISEGAL) is the identification of emerging risks in foods produced and commercialized in Galicia (northwest Spain) in order to propose prevention plans and mitigation strategies. In this work, RISEGAL applied a systematic approach for the identification of emerging food safety risks potentially affecting bivalve shellfish. First, a comprehensive review of scientific databases was carried out to identify hazards most quoted as emerging in bivalves in the period 2016–2018. Then, identified hazards were semiquantitatively assessed by a panel of food safety experts, who scored them accordingly with the five evaluation criteria proposed by EFSA: novelty, soundness, imminence, scale, and severity. Scores determined that perfluorinated compounds, antimicrobial resistance, Vibrio parahaemolyticus, hepatitis E virus (HEV), and antimicrobial residues are the emerging hazards that are considered most imminent and severe and that could cause safety problems of the highest scale in the bivalve value chain by the majority of the experts consulted (75%). Finally, in a preliminary way, an exploratory study carried out in the Galician Rías highlighted the presence of HEV in mussels cultivated in class B production areas.
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Affiliation(s)
- Marta López Cabo
- Seafood Microbiology and Technology Section, Instituto de Investigacións Mariñas, Spanish National Research Council (CSIC), 36208 Vigo, Spain; (M.B.C.); (S.P.d.H.); (J.R.H.)
- Correspondence: ; Tel.: +34-986231930-860261
| | - Jesús L. Romalde
- Department of Microbiology and Parasitology, CIBUS-Faculty of Biology & Institute CRETUS, Universidade de Santiago de Compostela, E15782 Santiago de Compostela, Spain;
| | - Jesus Simal-Gandara
- Nutrition and Bromatology Group, Department of Analytical and Food Chemistry, Faculty of Food Science and Technology, Universidade de Vigo–Ourense Campus, E32004 Ourense, Spain;
| | - Ana Gago Martínez
- Department Analytical and Food Chemistry, Universidade de Vigo, 36310 Vigo, Spain; (A.G.M.); (J.G.F.)
| | - Jorge Giráldez Fernández
- Department Analytical and Food Chemistry, Universidade de Vigo, 36310 Vigo, Spain; (A.G.M.); (J.G.F.)
| | - Marta Bernárdez Costas
- Seafood Microbiology and Technology Section, Instituto de Investigacións Mariñas, Spanish National Research Council (CSIC), 36208 Vigo, Spain; (M.B.C.); (S.P.d.H.); (J.R.H.)
| | - Santiago Pascual del Hierro
- Seafood Microbiology and Technology Section, Instituto de Investigacións Mariñas, Spanish National Research Council (CSIC), 36208 Vigo, Spain; (M.B.C.); (S.P.d.H.); (J.R.H.)
| | - Ánxela Pousa Ortega
- Direccion Xeral de Innovación e Xestión da Saúde Pública, Consellería de Sanidade, Xunta de Galicia, 15781 Santiago de Compostela, Spain;
| | - Célia M. Manaia
- CBQF—Centro de Biotecnologia e Química Fina—Laboratório Associado, Universidade Católica Portuguesa, Escola Superior de Biotecnologia, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal; (C.M.M.); (J.A.S.)
| | - Joana Abreu Silva
- CBQF—Centro de Biotecnologia e Química Fina—Laboratório Associado, Universidade Católica Portuguesa, Escola Superior de Biotecnologia, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal; (C.M.M.); (J.A.S.)
| | - Juan Rodríguez Herrera
- Seafood Microbiology and Technology Section, Instituto de Investigacións Mariñas, Spanish National Research Council (CSIC), 36208 Vigo, Spain; (M.B.C.); (S.P.d.H.); (J.R.H.)
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Desdouits M, de Graaf M, Strubbia S, Oude Munnink BB, Kroneman A, Le Guyader FS, Koopmans MPG. Novel opportunities for NGS-based one health surveillance of foodborne viruses. ONE HEALTH OUTLOOK 2020; 2:14. [PMID: 33829135 PMCID: PMC7993515 DOI: 10.1186/s42522-020-00015-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 05/01/2020] [Indexed: 05/15/2023]
Abstract
Foodborne viral infections rank among the top 5 causes of disease, with noroviruses and hepatitis A causing the greatest burden globally. Contamination of foods by infected food handlers or through environmental pollution are the main sources of foodborne illness, with a lesser role for consumption of products from infected animals. Viral partial genomic sequencing has been used for more than two decades to track foodborne outbreaks and whole genome or metagenomics next-generation-sequencing (NGS) are new additions to the toolbox of food microbiology laboratories. We discuss developments in the field of targeted and metagenomic NGS, with an emphasis on application in food virology, the challenges and possible solutions towards future routine application.
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Affiliation(s)
- Marion Desdouits
- IFREMER, Laboratoire de Microbiologie, LSEM/SG2M, Nantes, France
| | - Miranda de Graaf
- Viroscience Department, Erasmus Medical Centre, Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Sofia Strubbia
- IFREMER, Laboratoire de Microbiologie, LSEM/SG2M, Nantes, France
| | - Bas B. Oude Munnink
- Viroscience Department, Erasmus Medical Centre, Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Annelies Kroneman
- Centre for Infectious Disease Control, National Institute of Public Health and the Environment, Bilthoven, The Netherlands
| | | | - Marion P. G. Koopmans
- Viroscience Department, Erasmus Medical Centre, Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
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