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McMahon T, Clarke S, Deschênes M, Tapp K, Blais B, Gill A. Real-time PCR primers and probes for the detection of Shiga toxin genes, including novel subtypes. Int J Food Microbiol 2024; 419:110744. [PMID: 38763050 DOI: 10.1016/j.ijfoodmicro.2024.110744] [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: 02/21/2024] [Revised: 05/03/2024] [Accepted: 05/10/2024] [Indexed: 05/21/2024]
Abstract
Shiga toxin-producing Escherichia coli (STEC) are foodborne enteric pathogens. STEC are differentiated from other E. coli by detection of Shiga toxin (Stx) or its gene (stx). The established nomenclature of Stx identifies ten subtypes (Stx1a, Stx1c, Stxd, Stx2a to Stx2g). An additional nine subtypes have been reported and described (Stx1e, Stx2h to Stx2o). Many PCR protocols only detect a subset of Stx subtypes which limits their inclusivity. Here we describe a real-time PCR assay inclusive of the DNA sequences of representatives of all currently described Stx subtypes. A multiplex real-time PCR assay for detection of stx was developed using nine primers and four probes. Since the identification of STEC does not require differentiation of stx subtypes, the probes use the same fluorescent reporter to enable detection of multiple possible targets in a single reaction. The PCR mixture includes an internal positive control to detect inhibition of the reaction. Thus, the protocol can be performed on a two-channel real-time PCR platform. To reduce the biosafety risk inherent in the use of STEC cultures as process controls, the protocol also includes the option of a non-pathogenic E. coli transformant carrying a plasmid encoding the targeted fragment of the stx2a sequence. The inclusivity of the PCR was assessed against colonies of 137 STEC strains and one strain of Shigella dysenteriae, including strains carrying single copies of stx representing fourteen subtypes (stx1 a, c, d; stx2 a-j and o). Five additional subtypes (stx1e, 2k, 2l, 2m and 2n) were represented by E. coli transformed with plasmids encoding toxoid (enzymatically inactive A subunit) sequences. The exclusivity panel consisted of 70 bacteria, including 21 stx-negative E. coli. Suitability for food analysis was assessed with artificially inoculated ground beef, spinach, cheese, and apple cider. The real-time PCR generated positive results for all 19 stx subtypes, represented by colonies of STEC, S. dysenteriae and E. coli transformants carrying stx toxoid plasmids. Tests of exclusivity panel colonies were all negative. The real-time PCR detected the presence of stx in all inoculated food enrichments tested, and the presence of STEC was confirmed by isolation.
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Affiliation(s)
- Tanis McMahon
- Health Canada/Santé Canada, Bureau of Microbial Hazards, Ottawa, Ontario, Canada
| | - Sarah Clarke
- Health Canada/Santé Canada, Bureau of Microbial Hazards, Ottawa, Ontario, Canada
| | - Mylène Deschênes
- Canadian Food Inspection Agency/Agence canadienne d'inspection des aliments, Ottawa Laboratory Carling, Ottawa, Ontario, Canada
| | - Kyle Tapp
- Canadian Food Inspection Agency/Agence canadienne d'inspection des aliments, Ottawa Laboratory Carling, Ottawa, Ontario, Canada
| | - Burton Blais
- Canadian Food Inspection Agency/Agence canadienne d'inspection des aliments, Ottawa Laboratory Carling, Ottawa, Ontario, Canada
| | - Alexander Gill
- Health Canada/Santé Canada, Bureau of Microbial Hazards, Ottawa, Ontario, Canada.
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Timsit S, Armand-Lefèvre L, Le Goff J, Salmona M. The clinical and epidemiological impacts of whole genomic sequencing on bacterial and virological agents. Infect Dis Now 2024; 54:104844. [PMID: 38101516 DOI: 10.1016/j.idnow.2023.104844] [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: 11/29/2023] [Accepted: 12/08/2023] [Indexed: 12/17/2023]
Abstract
Whole Genome Sequencing (WGS) is a molecular biology tool consisting in the sequencing of the entire genome of a given organism. Due to its ability to provide the finest available resolution of bacterial and virological genetics, it is used at several levels in the field of infectiology. On an individual scale and through application of a single technique, it enables the typological identification and characterization of strains, the characterization of plasmids, and enhanced search for resistance genes and virulence factors. On a collective scale, it enables the characterization of strains and the determination of phylogenetic links between different microorganisms during community outbreaks and healthcare-associated epidemics. The information provided by WGS enables real-time monitoring of strain-level epidemiology on a worldwide scale, and facilitates surveillance of the resistance dissemination and the introduction or emergence of pathogenic variants in humans or their environment. There are several possible approaches to completion of an entire genome. The choice of one method rather than another is essentially dictated by the matrix, either a clinical sample or a culture isolate, and the clinical objective. WGS is an advanced technology that remains costly despite a gradual decrease in its expenses, potentially hindering its implementation in certain laboratories and thus its use in routine microbiology. Even though WGS is making steady inroads as a reference method, efforts remain needed in view of so harmonizing its interpretations and decreasing the time to generation of conclusive results.
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Affiliation(s)
- Sarah Timsit
- Service de Virologie, Hôpital Saint-Louis, APHP, Paris, France; Service de Bactériologie, Hôpital Bichat-Claude Bernard, APHP, Paris, France
| | - Laurence Armand-Lefèvre
- Service de Bactériologie, Hôpital Bichat-Claude Bernard, APHP, Paris, France; IAME UMR 1137, INSERM, Université Paris Cité, Paris, France
| | - Jérôme Le Goff
- Service de Virologie, Hôpital Saint-Louis, APHP, Paris, France; INSERM U976, Insight Team, Université Paris Cité, Paris, France
| | - Maud Salmona
- Service de Virologie, Hôpital Saint-Louis, APHP, Paris, France; INSERM U976, Insight Team, Université Paris Cité, Paris, France.
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Fruth A, Lang C, Größl T, Garn T, Flieger A. Genomic surveillance of STEC/EHEC infections in Germany 2020 to 2022 permits insight into virulence gene profiles and novel O-antigen gene clusters. Int J Med Microbiol 2024; 314:151610. [PMID: 38310676 DOI: 10.1016/j.ijmm.2024.151610] [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: 11/06/2023] [Revised: 01/17/2024] [Accepted: 01/22/2024] [Indexed: 02/06/2024] Open
Abstract
Shiga toxin-producing E. coli (STEC), including the subgroup of enterohemorrhagic E. coli (EHEC), are important bacterial pathogens which cause diarrhea and the severe clinical manifestation hemolytic uremic syndrome (HUS). Genomic surveillance of STEC/EHEC is a state-of-the-art tool to identify infection clusters and to extract markers of circulating clinical strains, such as their virulence and resistance profile for risk assessment and implementation of infection prevention measures. The aim of the study was characterization of the clinical STEC population in Germany for establishment of a reference data set. To that end, from 2020 to 2022 1257 STEC isolates, including 39 of known HUS association, were analyzed and lead to a classification of 30.4 % into 129 infection clusters. Major serogroups in all clinical STEC analyzed were O26, O146, O91, O157, O103, and O145; and in HUS-associated strains were O26, O145, O157, O111, and O80. stx1 was less frequently and stx2 or a combination of stx, eaeA and ehxA were more frequently found in HUS-associated strains. Predominant stx gene subtypes in all STEC strains were stx1a (24 %) and stx2a (21 %) and in HUS-associated strains were mainly stx2a (69 %) and the combination of stx1a and stx2a (12.8 %). Furthermore, two novel O-antigen gene clusters (RKI6 and RKI7) and strains of serovars O45:H2 and O80:H2 showing multidrug resistance were detected. In conclusion, the implemented surveillance tools now allow to comprehensively define the population of clinical STEC strains including those associated with the severe disease manifestation HUS reaching a new surveillance level in Germany.
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Affiliation(s)
- Angelika Fruth
- Division of Enteropathogenic Bacteria and Legionella (FG11) and National Reference Centre for Salmonella and other Bacterial Enteric Pathogens, Robert Koch Institute, Wernigerode, Germany
| | - Christina Lang
- Division of Enteropathogenic Bacteria and Legionella (FG11) and National Reference Centre for Salmonella and other Bacterial Enteric Pathogens, Robert Koch Institute, Wernigerode, Germany
| | - Tobias Größl
- Division of Enteropathogenic Bacteria and Legionella (FG11) and National Reference Centre for Salmonella and other Bacterial Enteric Pathogens, Robert Koch Institute, Wernigerode, Germany
| | - Thomas Garn
- Division of Enteropathogenic Bacteria and Legionella (FG11) and National Reference Centre for Salmonella and other Bacterial Enteric Pathogens, Robert Koch Institute, Wernigerode, Germany
| | - Antje Flieger
- Division of Enteropathogenic Bacteria and Legionella (FG11) and National Reference Centre for Salmonella and other Bacterial Enteric Pathogens, Robert Koch Institute, Wernigerode, Germany.
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Xie J, Chen Y, Cai G, Cai R, Hu Z, Wang H. Tree Visualization By One Table (tvBOT): a web application for visualizing, modifying and annotating phylogenetic trees. Nucleic Acids Res 2023:7152874. [PMID: 37144476 DOI: 10.1093/nar/gkad359] [Citation(s) in RCA: 178] [Impact Index Per Article: 178.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 04/19/2023] [Accepted: 04/25/2023] [Indexed: 05/06/2023] Open
Abstract
tvBOT is a user-friendly and efficient web application for visualizing, modifying, and annotating phylogenetic trees. It is highly efficient in data preparation without requiring redundant style and syntax data. Tree annotations are powered by a data-driven engine that only requires practical data organized in uniform formats and saved as one table file. A layer manager is developed to manage annotation dataset layers, allowing the addition of a specific layer by selecting the columns of a corresponding annotation data file. Furthermore, tvBOT renders style adjustments in real-time and diversified ways. All style adjustments can be made on a highly interactive user interface and are available for mobile devices. The display engine allows the changes to be updated and rendered in real-time. In addition, tvBOT supports the combination display of 26 annotation dataset types to achieve multiple formats for tree annotations with reusable phylogenetic data. Besides several publication-ready graphics formats, JSON format can be exported to save the final drawing state and all related data, which can be shared with other users, uploaded to restore the final drawing state for re-editing or used as a style template for quickly retouching a new tree file. tvBOT is freely available at: https://www.chiplot.online/tvbot.html.
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Affiliation(s)
- Jianmin Xie
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou 515063, China
- Biology Department and Institute of Marine Sciences, College of Science, Shantou University, Shantou 515063, China
| | - Yuerong Chen
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou 515063, China
- Biology Department and Institute of Marine Sciences, College of Science, Shantou University, Shantou 515063, China
| | - Guanjing Cai
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou 515063, China
- Biology Department and Institute of Marine Sciences, College of Science, Shantou University, Shantou 515063, China
| | - Runlin Cai
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou 515063, China
- Biology Department and Institute of Marine Sciences, College of Science, Shantou University, Shantou 515063, China
| | - Zhong Hu
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou 515063, China
- Biology Department and Institute of Marine Sciences, College of Science, Shantou University, Shantou 515063, China
| | - Hui Wang
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou 515063, China
- Biology Department and Institute of Marine Sciences, College of Science, Shantou University, Shantou 515063, China
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Alharbi MG, Al-Hindi RR, Esmael A, Alotibi IA, Azhari SA, Alseghayer MS, Teklemariam AD. The "Big Six": Hidden Emerging Foodborne Bacterial Pathogens. Trop Med Infect Dis 2022; 7:356. [PMID: 36355898 PMCID: PMC9693546 DOI: 10.3390/tropicalmed7110356] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/27/2022] [Accepted: 10/31/2022] [Indexed: 04/20/2024] Open
Abstract
Non-O157 Shiga toxin-producing Escherichia coli (STEC) are emerging serogroups that often result in diseases ranging from diarrhea to severe hemorrhagic colitis in humans. The most common non-O157 STEC are O26, O45, O103, O111, O121, and O145. These serogroups are known by the name "big six" because they cause severe illness and death in humans and the United States Department of Agriculture declared these serogroups as food contaminants. The lack of fast and efficient diagnostic methods exacerbates the public impact of the disease caused by these serogroups. Numerous outbreaks have been reported globally and most of these outbreaks were caused by ingestion of contaminated food or water as well as direct contact with reservoirs. Livestock harbor a variety of non-O157 STEC serovars that can contaminate meat and dairy products, or water sources when used for irrigation. Hence, effective control and prevention approaches are required to safeguard the public from infections. This review addresses the disease characteristics, reservoirs, the source of infections, the transmission of the disease, and major outbreaks associated with the six serogroups ("big six") of non-O157 STEC encountered all over the globe.
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Affiliation(s)
- Mona G. Alharbi
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Rashad R. Al-Hindi
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Ahmed Esmael
- Nebraska Center for Virology, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
- Botany and Microbiology Department, Faculty of Science, Benha University, Benha 13518, Egypt
| | - Ibrahim A. Alotibi
- Health Information Technology Department, Applied College, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Sheren A. Azhari
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Mazen S. Alseghayer
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Monitoring and Risk Assessment Department, Saudi Food and Drug Authority, Riyadh 13513, Saudi Arabia
| | - Addisu D. Teklemariam
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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