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Hasegawa LA, Vilela FP, Falcão JP. Antimicrobial resistance, virulence potential and genomic epidemiology of global genomes of the rare Salmonella enterica serovar Orion. Zoonoses Public Health 2024; 71:591-599. [PMID: 38702905 DOI: 10.1111/zph.13140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 04/06/2024] [Accepted: 04/24/2024] [Indexed: 05/06/2024]
Abstract
AIMS Our aim is to characterize through whole-genome sequencing (WGS) the antimicrobial resistance (AMR) and heavy metal tolerance (HMT) genes content, plasmid presence, virulence potential and genomic diversity of the rare non-typhoid Salmonella enterica serovar Orion (S. Orion) from 19 countries of the African, American, Eastern Mediterranean, European, Southeastern Asia and Western Pacific regions. METHODS AND RESULTS Totally 324 S. Orion genomes were screened for AMR, HMT and virulence genes, plasmids and Salmonella Pathogenicity Islands (SPIs). Genomic diversity was investigated using Multi-Locus Sequence Typing (MLST) and core-genome MLST (cgMLST). Efflux pump encoding genes mdsA and mdsB were present in all genomes analysed, while quinolone chromosomal point mutations and aminoglycoside, beta-lactam, colistin, lincosamide, macrolide, phenicol, sulphonamide, trimethoprim, tetracycline and disinfectant resistance genes were found in 0.3%-5.9%. A total of 17 genomes (5.2%) from Canada, the United Kingdom, the USA and Tanzania showed a potential multi-drug resistance profile. Gold tolerance genes golS and golT were detected in all genomes analysed, while arsenic, copper, mercury, silver and tellurium tolerance genes were found in 0.3%-35.5%. Col(MGD2) was the most frequently detected plasmid, in 15.4% of the genomes. Virulence genes related to adherence, macrophage induction, magnesium uptake, regulation, serum resistance, stress adaptation, type III secretion systems and six SPIs (1, 2, 3, 4, 5, 9, 12, 13, 14 and C63PI) were detected. ST639 was assigned to 89.2% of the S. Orion genomes, while cgMLST showed core-genome STs and clusters of strains specific by countries. CONCLUSION The high virulence factor frequencies, the genomic similarity among some non-clinical and clinical strains circulating worldwide and the presence of a strain carrying a resistance gene against a last resource antimicrobial like colistin, highlight the potential risk of S. Orion strains for public health and food safety and reinforce the importance to not underestimate the potential hazard of rare non-typhoid Salmonella serovars.
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Affiliation(s)
- Leticia Ayumi Hasegawa
- Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto - USP, Ribeirao Preto, SP, Brazil
| | - Felipe Pinheiro Vilela
- Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto - USP, Ribeirao Preto, SP, Brazil
| | - Juliana Pfrimer Falcão
- Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto - USP, Ribeirao Preto, SP, Brazil
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2
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Xiang Y, Zhu K, Min K, Zhang Y, Liu J, Liu K, Han Y, Li X, Du X, Wang X, Huang Y, Li X, Peng Y, Yang C, Liu H, Liu H, Li X, Wang H, Wang C, Wang Q, Jia H, Yang M, Wang L, Wu Y, Cui Y, Chen F, Yang H, Baker S, Xu X, Yang J, Song H, Qiu S. Characterization of a Salmonella enterica serovar Typhimurium lineage with rough colony morphology and multidrug resistance. Nat Commun 2024; 15:6123. [PMID: 39033143 PMCID: PMC11271444 DOI: 10.1038/s41467-024-50331-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 07/03/2024] [Indexed: 07/23/2024] Open
Abstract
Salmonella enterica serovar Typhimurium (S. Typhimurium) is a major cause of salmonellosis, and the emergence of multidrug-resistant pathovariants has become a growing concern. Here, we investigate a distinct rough colony variant exhibiting a strong biofilm-forming ability isolated in China. Whole-genome sequencing on 2,212 Chinese isolates and 1,739 publicly available genomes reveals the population structure and evolutionary history of the rough colony variants. Characterized by macro, red, dry, and rough (mrdar) colonies, these variants demonstrate enhanced biofilm formation at 28 °C and 37 °C compared to typical rdar colonies. The mrdar variants exhibit extensive multidrug resistance, with significantly higher resistance to at least five classes of antimicrobial agents compared to non-mrdar variants. This resistance is primarily conferred by an IncHI2 plasmid harboring 19 antimicrobial resistance genes. Phylogenomic analysis divides the global collections into six lineages. The majority of mrdar variants belong to sublineage L6.5, which originated from Chinese smooth colony strains and possibly emerged circa 1977. Among the mrdar variants, upregulation of the csgDEFG operons is observed, probably due to a distinct point mutation (-44G > T) in the csgD gene promoter. Pangenome and genome-wide association analyses identify 87 specific accessory genes and 72 distinct single nucleotide polymorphisms associated with the mrdar morphotype.
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Affiliation(s)
- Ying Xiang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Kunpeng Zhu
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
- Kaifeng Center for Disease Control and Prevention, Kaifeng, China
| | - Kaiyuan Min
- State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Yaowen Zhang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
- Daxing Center for Disease Control and Prevention, Beijing, China
| | - Jiangfeng Liu
- State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Kangkang Liu
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Yiran Han
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Xinge Li
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Xinying Du
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Xin Wang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Ying Huang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Xinping Li
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Yuqian Peng
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Chaojie Yang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Hongbo Liu
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Hongbo Liu
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Xiaoying Li
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Hui Wang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Chao Wang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Qi Wang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Huiqun Jia
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Mingjuan Yang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Ligui Wang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Yarong Wu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yujun Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Fei Chen
- CAS Key Laboratory of Genome Sciences & Information, Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation, Beijing, China
| | - Haiyan Yang
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Stephen Baker
- University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Xuebin Xu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
| | - Juntao Yang
- State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
| | - Hongbin Song
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China.
| | - Shaofu Qiu
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China.
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3
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Braun SD, Müller E, Frankenfeld K, Gary D, Monecke S, Ehricht R. A Proof-of-Concept Protein Microarray-Based Approach for Serotyping of Salmonella enterica Strains. Pathogens 2024; 13:355. [PMID: 38787207 PMCID: PMC11124431 DOI: 10.3390/pathogens13050355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/23/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024] Open
Abstract
Salmonella enterica, a bacterium causing foodborne illnesses like salmonellosis, is prevalent in Europe and globally. It is found in food, water, and soil, leading to symptoms like diarrhea and fever. Annually, it results in about 95 million cases worldwide, with increasing antibiotic resistance posing a public health challenge. Therefore, it is necessary to detect and serotype Salmonella for several reasons. The identification of the serovars of Salmonella enterica isolates is crucial to detect and trace outbreaks and to implement effective control measures. Our work presents a protein-based microarray for the rapid and accurate determination of Salmonella serovars. The microarray carries a set of antibodies that can detect different Salmonella O- and H-antigens, allowing for the identification of multiple serovars, including Typhimurium and Enteritidis, in a single miniaturized assay. The system is fast, economical, accurate, and requires only small sample volumes. Also, it is not required to maintain an extensive collection of sera for the serotyping of Salmonella enterica serovars and can be easily expanded and adapted to new serovars and sera. The scientific state of the art in Salmonella serotyping involves the comparison of traditional, molecular, and in silico methods, with a focus on economy, multiplexing, accuracy, rapidity, and adaptability to new serovars and sera. The development of protein-based microarrays, such as the one presented in our work, contributes to the ongoing advancements in this field.
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Affiliation(s)
- Sascha D. Braun
- Leibniz Institute of Photonic Technology, Member of the Research Alliance “Leibniz Health Technologies’’ and the Leibniz Centre for Photonics in Infection Research (LPI), 07745 Jena, Germany; (E.M.); (S.M.); (R.E.)
- InfectoGnostics Research Campus Jena, Center for Applied Research, 07743 Jena, Germany
| | - Elke Müller
- Leibniz Institute of Photonic Technology, Member of the Research Alliance “Leibniz Health Technologies’’ and the Leibniz Centre for Photonics in Infection Research (LPI), 07745 Jena, Germany; (E.M.); (S.M.); (R.E.)
- InfectoGnostics Research Campus Jena, Center for Applied Research, 07743 Jena, Germany
| | - Katrin Frankenfeld
- INTER-ARRAY by Fzmb GmbH, 99947 Bad Langensalza, Germany; (K.F.); (D.G.)
| | - Dominik Gary
- INTER-ARRAY by Fzmb GmbH, 99947 Bad Langensalza, Germany; (K.F.); (D.G.)
| | - Stefan Monecke
- Leibniz Institute of Photonic Technology, Member of the Research Alliance “Leibniz Health Technologies’’ and the Leibniz Centre for Photonics in Infection Research (LPI), 07745 Jena, Germany; (E.M.); (S.M.); (R.E.)
- InfectoGnostics Research Campus Jena, Center for Applied Research, 07743 Jena, Germany
| | - Ralf Ehricht
- Leibniz Institute of Photonic Technology, Member of the Research Alliance “Leibniz Health Technologies’’ and the Leibniz Centre for Photonics in Infection Research (LPI), 07745 Jena, Germany; (E.M.); (S.M.); (R.E.)
- InfectoGnostics Research Campus Jena, Center for Applied Research, 07743 Jena, Germany
- Institute of Physical Chemistry, Friedrich Schiller University Jena, 07743 Jena, Germany
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4
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Oslan SNH, Yusof NY, Lim SJ, Ahmad NH. Rapid and sensitive detection of Salmonella in agro-Food and environmental samples: A review of advances in rapid tests and biosensors. J Microbiol Methods 2024; 219:106897. [PMID: 38342249 DOI: 10.1016/j.mimet.2024.106897] [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: 07/19/2023] [Revised: 02/07/2024] [Accepted: 02/08/2024] [Indexed: 02/13/2024]
Abstract
Salmonella is as an intracellular bacterium, causing many human fatalities when the host-specific serotypes reach the host gastrointestinal tract. Nontyphoidal Salmonella are responsible for numerous foodborne outbreaks and product recalls worldwide whereas typhoidal Salmonella are responsible for Typhoid fever cases in developing countries. Yet, Salmonella-related foodborne disease outbreaks through its food and water contaminations have urged the advancement of rapid and sensitive Salmonella-detecting methods for public health protection. While conventional detection methods are time-consuming and ineffective for monitoring foodstuffs with short shelf lives, advances in microbiology, molecular biology and biosensor methods have hastened the detection. Here, the review discusses Salmonella pathogenic mechanisms and its detection technology advancements (fundamental concepts, features, implementations, efficiency, benefits, limitations and prospects). The time-efficiency of each rapid test method is discussed in relation to their limit of detections (LODs) and time required from sample enrichment to final data analysis. Importantly, the matrix effects (LODs and sample enrichments) were compared within the methods to potentially speculate Salmonella detection from environmental, clinical or food matrices using certain techniques. Although biotechnological advancements have led to various time-efficient Salmonella-detecting techniques, one should consider the usage of sophisticated equipment to run the analysis by moderately to highly trained personnel. Ultimately, a fast, accurate Salmonella screening that is readily executed by untrained personnels from various matrices, is desired for public health procurement.
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Affiliation(s)
- Siti Nur Hazwani Oslan
- Faculty of Food Science and Nutrition, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia; Food Security Research Laboratory, Faculty of Food Science and Nutrition, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia.
| | - Nik Yusnoraini Yusof
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Si Jie Lim
- Enzyme Technology and X-ray Crystallography Laboratory, VacBio 5, Institute of Bioscience, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia; Enzyme and Microbial Technology (EMTech) Research Centre, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
| | - Nurul Hawa Ahmad
- Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia; Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
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5
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Cho J, Song H, Yoon HC, Yoon H. Rapid Dot-Blot Immunoassay for Detecting Multiple Salmonella enterica Serotypes. J Microbiol Biotechnol 2024; 34:340-348. [PMID: 37986605 PMCID: PMC10940738 DOI: 10.4014/jmb.2308.08006] [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: 08/08/2023] [Revised: 10/15/2023] [Accepted: 10/17/2023] [Indexed: 11/22/2023]
Abstract
Salmonella, a major contributor to foodborne infections, typically causes self-limiting gastroenteritis. However, it is frequently invasive and disseminates across the intestinal epithelium, leading to deadly bacteremia. Although the genus is subdivided into >2,600 serotypes based on their antigenic determinants, only few serotypes are responsible for most human infections. In this study, a rapid dot-blot immunoassay was developed to diagnose multiple Salmonella enterica serotypes with high incidence rates in humans. The feasibility of 10 commercial antibodies (four polyclonal and six monoclonal antibodies) was tested using the 18 serotypes associated with 67.5% Salmonella infection cases in the United States of America (U.S.A) in 2016. Ab 3 (polyclonal; eight of 18 serotypes), Ab 8 (monoclonal; 13 of 18 serotypes), and Ab 9 (monoclonal; 10 of 18 serotypes) antibodies exhibited high detection rates in western blotting and combinations of two antibodies (Ab 3+8, Ab 3+9, and Ab 8+9) were applied to dot-blot assays. The combination of Ab 3+8 identified 15 of the tested 18 serotypes in 3 h, i.e., S. Enteritidis, S. Typhimurium, S. Javiana, S. I 4,[5],12:i:-, S. Infantis, S. Montevideo, S. Braenderup, S. Thompson, S. Saintpaul, S. Heidelberg, S. Oranienburg, S. Bareilly, S. Berta, S. Agona, and S. Anatum, which were responsible for 53.7% Salmonella infections in the U.S. in 2016. This cost-effective and rapid method can be utilized as an on-site colorimetric method for Salmonella detection.
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Affiliation(s)
- Jeongik Cho
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea
| | - Heymin Song
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea
| | - Hyun C. Yoon
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea
- Department of Applied Chemistry and Biological Engineering, Ajou University, Suwon 16499, Republic of Korea
| | - Hyunjin Yoon
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea
- Department of Applied Chemistry and Biological Engineering, Ajou University, Suwon 16499, Republic of Korea
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6
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Response to Questions Posed by the Food Safety and Inspection Service: Enhancing Salmonella Control in Poultry Products. J Food Prot 2024; 87:100168. [PMID: 37939849 DOI: 10.1016/j.jfp.2023.100168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 11/10/2023]
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7
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Mohammed BT. Identification and bioinformatic analysis of invA gene of Salmonella in free range chicken. BRAZ J BIOL 2024; 84:e263363. [DOI: 10.1590/1519-6984.263363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 08/15/2022] [Indexed: 11/22/2022] Open
Abstract
Abstract Salmonella is a serious cause of the health issues in human and animal worldwide. Salmonella has been isolated from different biological samples and it considers as the key role in induction of inflammation of gastrointestinal tract which in turn cause diarrhoea in different species. To further understand the involvement of Salmonella in contaminating and infecting fresh eggs and meat of free-range chicken. This study aimed to establish the microbiological and molecular detections of Salmonella in the cloaca of the free-range chicken and to identify predicted biological functions using Kyoto Encyclopedia of Gene and Genomic (KEGG) pathways and protein-protein interaction. Cloacal swabs were collected from free range chicken raised in the local farm in Duhok city. The isolates were cultured and biochemical test performed using XLD and TSI, respectively. Molecular detection and functional annotation of invA gene was carried out using Conventional PCR and bioinformatics approaches. The present study found that Salmonella was detected in 36 out of 86 samples using microbiological methods. To confirm these findings, invA gene was utilised and 9 out of 36 Salmonella isolates have shown a positive signal of invA by agarose gel. In addition, bioinformatic analysis revealed that invA gene was mainly associated with bacterial secretion processes as well as their KEGG terms and Protein-Protein Interaction were involved in bacterial invasion and secretion pathways. These findings suggested that invA gene plays important role in regulating colonization and invasion processes of Salmonella within the gut host in the free range chicken.
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Barrera S, Vázquez-Flores S, Needle D, Rodríguez-Medina N, Iglesias D, Sevigny JL, Gordon LM, Simpson S, Thomas WK, Rodulfo H, De Donato M. Serovars, Virulence and Antimicrobial Resistance Genes of Non-Typhoidal Salmonella Strains from Dairy Systems in Mexico. Antibiotics (Basel) 2023; 12:1662. [PMID: 38136696 PMCID: PMC10740734 DOI: 10.3390/antibiotics12121662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/06/2023] [Accepted: 11/07/2023] [Indexed: 12/24/2023] Open
Abstract
Salmonella isolated from dairy farms has a significant effect on animal health and productivity. Different serogroups of Salmonella affect both human and bovine cattle causing illness in both reservoirs. Dairy cows and calves can be silent Salmonella shedders, increasing the possibility of dispensing Salmonella within the farm. The aim of this study was to determine the genomic characteristics of Salmonella isolates from dairy farms and to detect the presence of virulence and antimicrobial resistance genes. A total of 377 samples were collected in a cross-sectional study from calves, periparturient cow feces, and maternity beds in 55 dairy farms from the states of Aguascalientes, Baja California, Chihuahua, Coahuila, Durango, Mexico, Guanajuato, Hidalgo, Jalisco, Queretaro, San Luis Potosi, Tlaxcala, and Zacatecas. Twenty Salmonella isolates were selected as representative strains for whole genome sequencing. The serological classification of the strains was able to assign groups to only 12 isolates, but with only 5 of those being consistent with the genomic serotyping. The most prevalent serovar was Salmonella Montevideo followed by Salmonella Meleagridis. All isolates presented the chromosomal aac(6')-Iaa gene that confers resistance to aminoglycosides. The antibiotic resistance genes qnrB19, qnrA1, sul2, aph(6)-Id, aph(3)-ld, dfrA1, tetA, tetC, flor2, sul1_15, mph(A), aadA2, blaCARB, and qacE were identified. Ten pathogenicity islands were identified, and the most prevalent plasmid was Col(pHAD28). The main source of Salmonella enterica is the maternity areas, where periparturient shedders are contaminants and perpetuate the pathogen within the dairy in manure, sand, and concrete surfaces. This study demonstrated the necessity of implementing One Health control actions to diminish the prevalence of antimicrobial resistant and virulent pathogens including Salmonella.
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Affiliation(s)
- Stephany Barrera
- Tecnologico de Monterrey, School of Engineering and Sciences, Querétaro 76130, CP, Mexico; (S.B.); (D.I.); (H.R.)
| | - Sonia Vázquez-Flores
- Tecnologico de Monterrey, School of Engineering and Sciences, Querétaro 76130, CP, Mexico; (S.B.); (D.I.); (H.R.)
| | - David Needle
- Veterinary Diagnostic Lab, University of New Hampshire, Durham, NH 03824, USA;
| | - Nadia Rodríguez-Medina
- Instituto Nacional de Salud Pública (INSP), Centro de Investigación Sobre Enfermedades Infecciosas (CISEI), Cuernavaca 62100, MR, Mexico;
| | - Dianella Iglesias
- Tecnologico de Monterrey, School of Engineering and Sciences, Querétaro 76130, CP, Mexico; (S.B.); (D.I.); (H.R.)
| | - Joseph L. Sevigny
- Department Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA; (J.L.S.); (L.M.G.); (S.S.); (W.K.T.)
| | - Lawrence M. Gordon
- Department Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA; (J.L.S.); (L.M.G.); (S.S.); (W.K.T.)
| | - Stephen Simpson
- Department Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA; (J.L.S.); (L.M.G.); (S.S.); (W.K.T.)
| | - W. Kelley Thomas
- Department Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA; (J.L.S.); (L.M.G.); (S.S.); (W.K.T.)
| | - Hectorina Rodulfo
- Tecnologico de Monterrey, School of Engineering and Sciences, Querétaro 76130, CP, Mexico; (S.B.); (D.I.); (H.R.)
| | - Marcos De Donato
- Tecnologico de Monterrey, School of Engineering and Sciences, Querétaro 76130, CP, Mexico; (S.B.); (D.I.); (H.R.)
- The Center for Aquaculture Technologies, San Diego, CA 92121, USA
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9
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Shaji S, Selvaraj RK, Shanmugasundaram R. Salmonella Infection in Poultry: A Review on the Pathogen and Control Strategies. Microorganisms 2023; 11:2814. [PMID: 38004824 PMCID: PMC10672927 DOI: 10.3390/microorganisms11112814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 11/08/2023] [Accepted: 11/11/2023] [Indexed: 11/26/2023] Open
Abstract
Salmonella is the leading cause of food-borne zoonotic disease worldwide. Non-typhoidal Salmonella serotypes are the primary etiological agents associated with salmonellosis in poultry. Contaminated poultry eggs and meat products are the major sources of human Salmonella infection. Horizontal and vertical transmission are the primary routes of infection in chickens. The principal virulence genes linked to Salmonella pathogenesis in poultry are located in Salmonella pathogenicity islands 1 and 2 (SPI-1 and SPI-2). Cell-mediated and humoral immune responses are involved in the defense against Salmonella invasion in poultry. Vaccination of chickens and supplementation of feed additives like prebiotics, probiotics, postbiotics, synbiotics, and bacteriophages are currently being used to mitigate the Salmonella load in poultry. Despite the existence of various control measures, there is still a need for a broad, safe, and well-defined strategy that can confer long-term protection from Salmonella in poultry flocks. This review examines the current knowledge on the etiology, transmission, cell wall structure, nomenclature, pathogenesis, immune response, and efficacy of preventative approaches to Salmonella.
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Affiliation(s)
- Syamily Shaji
- Department of Poultry Science, The University of Georgia, Athens, GA 30602, USA; (S.S.); (R.K.S.)
| | - Ramesh K. Selvaraj
- Department of Poultry Science, The University of Georgia, Athens, GA 30602, USA; (S.S.); (R.K.S.)
| | - Revathi Shanmugasundaram
- Toxicology and Mycotoxin Research Unit, US National Poultry Research Center, Athens, GA 30605, USA
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10
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Gao A, Fischer-Jenssen J, Slavic D, Rutherford K, Lippert S, Wilson E, Chen S, Leon-Velarde CG, Martos P. Rapid identification of Salmonella serovars Enteritidis and Typhimurium using whole cell matrix assisted laser desorption ionization - Time of flight mass spectrometry (MALDI-TOF MS) coupled with multivariate analysis and artificial intelligence. J Microbiol Methods 2023; 213:106827. [PMID: 37748653 DOI: 10.1016/j.mimet.2023.106827] [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: 08/21/2023] [Revised: 09/22/2023] [Accepted: 09/22/2023] [Indexed: 09/27/2023]
Abstract
Salmonella is a common food-borne pathogen with Enteritidis and Typhimurium being among the most important serovars causing numerous outbreaks. A rapid method was investigated to identify these serovars using whole-cell MALDI-TOF MS coupled with multivariate analysis and artificial intelligence and 113 Salmonella strains, including 38 Enteritidis (SE), 38 Typhimurium (ST) and 37 strains from 32 other Salmonella serovars (SG). Datasets of ions (presence/absence) with high discriminative power were created using newly developed criteria and subject to multivariate analyses and eight artificial intelligence (AI) tools. Principal Component Analysis based on 55 or 88 selected ions separated SE, ST and SG without overlap on the first three principal components. Datasets were partitioned using five partitioning methods with 70% of samples for AI model training and 30% for validation. Of the eight AI models evaluated, high performance (HP) SVM and HP Neural were the top performers, identified three serovar groups 97% correctly on average (range 82%-100%) according to the validation results. Selection of serovar specific ions facilitated differentiation of serotypes using unsupervised model PCA and improved the accuracy of classification using AI significantly (p < 0.01). MALDI-TOF MS incorporated with advanced data processing and classification tools is a promising method to allow rapid identification of Salmonella serovars of concern in routine diagnostic laboratories.
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Affiliation(s)
- Anli Gao
- Agriculture and Food Laboratory, Laboratory Services Division, University of Guelph, Guelph, ON, Canada.
| | - Jennifer Fischer-Jenssen
- Agriculture and Food Laboratory, Laboratory Services Division, University of Guelph, Guelph, ON, Canada
| | - Durda Slavic
- Animal Health Laboratory, Laboratory Services Division, University of Guelph, Guelph, ON, Canada
| | - Kimani Rutherford
- Animal Health Laboratory, Laboratory Services Division, University of Guelph, Guelph, ON, Canada
| | - Sarah Lippert
- Animal Health Laboratory, Laboratory Services Division, University of Guelph, Guelph, ON, Canada
| | - Emily Wilson
- Agriculture and Food Laboratory, Laboratory Services Division, University of Guelph, Guelph, ON, Canada
| | - Shu Chen
- Agriculture and Food Laboratory, Laboratory Services Division, University of Guelph, Guelph, ON, Canada
| | - Carlos G Leon-Velarde
- Agriculture and Food Laboratory, Laboratory Services Division, University of Guelph, Guelph, ON, Canada
| | - Perry Martos
- Agriculture and Food Laboratory, Laboratory Services Division, University of Guelph, Guelph, ON, Canada
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11
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da Silva EC, de Oliveira CD, Ribeiro LFM, Casas MRT, Pereira JG, Possebon FS, Junior JPA. Salmonella detection with LAMP and qPCR and identification of serovars of interest by multiplex qPCR in poultry carcasses. Braz J Microbiol 2023; 54:2173-2182. [PMID: 37582950 PMCID: PMC10484893 DOI: 10.1007/s42770-023-01095-y] [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: 02/10/2023] [Accepted: 08/03/2023] [Indexed: 08/17/2023] Open
Abstract
Salmonella is present in the poultry production chain and is a major challenge in terms of food safety and animal health. The early Salmonella detection is one of the main tools to control and prevent the transmission of this pathogen. Microbiological isolation and serotyping to identify and differentiate Salmonella serovars are laborious processes, time-consuming, and expensive. Therefore, molecular diagnostic methods can be rapid and efficient alternatives to the detection of this pathogen. Thus, the aim herein was to standardize and evaluate the use of loop-mediated isothermal amplification (LAMP) in comparison with real-time PCR (qPCR) for detection of Salmonella associated with a multiplex qPCR for simultaneous identification and differentiation of S. Enteritidis, S. Typhimurium, S. Pullorum, and S. Gallinarum. The LAMP, qPCR, and multiplex qPCR assays were comparable in specificity. The three techniques were evaluated for specificity for 16 different serovars of Salmonella and for 37 strains of the serovars of interest. The limit of detection and the efficiency of the LAMP, qPCR, and multiplex qPCR reactions were determined. The techniques were applied to 33 samples of chicken carcasses and compared to the results of conventional microbiology for validation. As results, LAMP was specific in the detection of different Salmonella serovars but presented lower limit of detection ranging from 101 to 104 CFU/reaction. In comparison, qPCR could detect less cells (100 to 102 CFU/reaction), reaching equal specificity and better repeatability in the assays. The qPCR multiplexing for identification of the different serovars also showed good specificity, with the detection threshold between entre 101 and 102 CFU/reaction. The results obtained in the analyses on poultry carcasses suggested a correspondence between the results obtained in molecular methods and in conventional microbiology. Thus, the proposed assays are promising for the diagnosis of Salmonella in poultry carcasses, already proved to be faster and more efficient than conventional diagnostics techniques, being of great interest for poultry production, animal, and public health.
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Affiliation(s)
- Evelyn Cristine da Silva
- Institute for Biotechnology, São Paulo State University (UNESP), Tecomarias Avenue, Botucatu, SP, 18607-440, Brazil.
| | - Catarina Demarchi de Oliveira
- Department of Animal Production and Preventive Veterinary Medicine, School of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Prof. Walter Maurício Correa St., SP, 18618-681, Botucatu, Brazil
| | - Lucas Franco Miranda Ribeiro
- Department of Animal Production and Preventive Veterinary Medicine, School of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Prof. Walter Maurício Correa St., SP, 18618-681, Botucatu, Brazil
| | - Monique Ribeiro Tiba Casas
- Bacteriology Division, Adolfo Lutz Institute (IAL), Doutor Arnaldo Avenue, São Paulo, SP, 01246-000, Brazil
| | - Juliano Gonçalves Pereira
- Department of Animal Production and Preventive Veterinary Medicine, School of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Prof. Walter Maurício Correa St., SP, 18618-681, Botucatu, Brazil
| | - Fábio Sossai Possebon
- Institute for Biotechnology, São Paulo State University (UNESP), Tecomarias Avenue, Botucatu, SP, 18607-440, Brazil
- Department of Animal Production and Preventive Veterinary Medicine, School of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Prof. Walter Maurício Correa St., SP, 18618-681, Botucatu, Brazil
| | - João Pessoa Araújo Junior
- Institute for Biotechnology, São Paulo State University (UNESP), Tecomarias Avenue, Botucatu, SP, 18607-440, Brazil
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12
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Alvarado-Martinez Z, Julianingsih D, Tabashsum Z, Aditya A, Tung CW, Phung A, Suh G, Hshieh K, Wall M, Kapadia S, Canagarajah C, Maskey S, Sellers G, Scriba A, Biswas D. Assessment of the prevalence, serotype, and antibiotic resistance pattern of Salmonella enterica in integrated farming systems in the Maryland-DC area. Front Microbiol 2023; 14:1240458. [PMID: 37637118 PMCID: PMC10448900 DOI: 10.3389/fmicb.2023.1240458] [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] [Received: 06/15/2023] [Accepted: 07/31/2023] [Indexed: 08/29/2023] Open
Abstract
Implementation of organic/pasture farming practices has been increasing in the USA regardless of official certification. These practices have created an increasingly growing demand for marketing safe products which are produced through these systems. Products from these farming systems have been reported to be at greater risk of transmitting foodborne pathogens because of current trends in their practices. Salmonella enterica (SE) is a ubiquitous foodborne pathogen that remains a public health issue given its prevalence in various food products, but also in the environment and as part of the microbial flora of many domestic animals. Monitoring antibiotic resistance and identifying potential sources contamination are increasingly important given the growing trend of organic/pasture markets. This study aimed to quantify prevalence of SE at the pre- and post-harvest levels of various integrated farms and sites in Maryland-Washington D.C. area, as well as identify the most prevalent serovars and antibiotic resistance patterns. Samples from various elements within the farm environment were collected and screened for SE through culture and molecular techniques, which served to identify and serotype SE, using species and serovar-specific primers, while antibiotic resistance was evaluated using an antibiogram assay. Results showed a prevalence of 7.80% of SE pre-harvest and 1.91% post-harvest. These results also showed the main sources of contamination to be soil (2.17%), grass (1.28%), feces (1.42%) and unprocessed produce (1.48%). The most commonly identified serovar was Typhimurium (11.32%) at the pre-harvest level, while the only identified serovar from post-harvest samples was Montevideo (4.35%). With respect to antibiotic resistance, out of the 13 clinically relevant antibiotics tested, gentamycin and kanamycin were the most effective, demonstrating 78.93 and 76.40% of isolates, respectively, to be susceptible. However, ampicillin, amoxicillin and cephradine had the lowest number of susceptible isolates with them being 10.95, 12.36, and 9.83%, respectively. These results help inform farms striving to implement organic practices on how to produce safer products by recognizing areas that pose greater risks as potential sources of contamination, in addition to identifying serotypes of interest, while also showcasing the current state of antibiotic efficacy and how this can influence antibiotic resistance trends in the future.
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Affiliation(s)
- Zabdiel Alvarado-Martinez
- Biological Sciences Program, Molecular and Cellular Biology, University of Maryland, College Park, College Park, MD, United States
| | - Dita Julianingsih
- Department of Animal and Avian Sciences, University of Maryland, College Park, College Park, MD, United States
| | - Zajeba Tabashsum
- Biological Sciences Program, Molecular and Cellular Biology, University of Maryland, College Park, College Park, MD, United States
| | - Arpita Aditya
- Department of Animal and Avian Sciences, University of Maryland, College Park, College Park, MD, United States
| | - Chuan-Wei Tung
- Department of Animal and Avian Sciences, University of Maryland, College Park, College Park, MD, United States
| | - Anna Phung
- Department of Biology, University of Maryland, College Park, College Park, MD, United States
| | - Grace Suh
- Department of Biology, University of Maryland, College Park, College Park, MD, United States
| | - Katherine Hshieh
- Department of Biology, University of Maryland, College Park, College Park, MD, United States
| | - Matthew Wall
- Department of Biology, University of Maryland, College Park, College Park, MD, United States
| | - Sarika Kapadia
- Department of Biology, University of Maryland, College Park, College Park, MD, United States
| | - Christa Canagarajah
- Department of Biology, University of Maryland, College Park, College Park, MD, United States
| | - Saloni Maskey
- Department of Biology, University of Maryland, College Park, College Park, MD, United States
| | - George Sellers
- Department of Biology, University of Maryland, College Park, College Park, MD, United States
| | - Aaron Scriba
- Department of Biology, University of Maryland, College Park, College Park, MD, United States
| | - Debabrata Biswas
- Biological Sciences Program, Molecular and Cellular Biology, University of Maryland, College Park, College Park, MD, United States
- Department of Animal and Avian Sciences, University of Maryland, College Park, College Park, MD, United States
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13
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Dégi J, Herman V, Radulov I, Morariu F, Florea T, Imre K. Surveys on Pet-Reptile-Associated Multi-Drug-Resistant Salmonella spp. in the Timișoara Metropolitan Region-Western Romania. Antibiotics (Basel) 2023; 12:1203. [PMID: 37508299 PMCID: PMC10376298 DOI: 10.3390/antibiotics12071203] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/10/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
The number of reptiles owned as pets has risen worldwide. Additionally, urban expansion has resulted in more significant human encroachment and interactions with the habitats of captive reptiles. Between May and October 2022, 48 reptiles from pet shops and 69 from households were sampled in the Timișoara metropolitan area (western Romania). Three different sample types were collected from each reptile: oral cavity, skin, and cloacal swabs. Salmonella identification was based on ISO 6579-1:2017 (Annex D), a molecular testing method (invA gene target), and strains were serotyped in accordance with the Kauffman-White-Le-Minor technique; the antibiotic susceptibility was assessed according to Decision 2013/652. This study showed that 43.28% of the pet reptiles examined from households and pet shops carried Salmonella spp. All of the strains isolated presented resistance to at least one antibiotic, and 79.32% (23/29) were multi-drug-resistant strains, with the most frequently observed resistances being to gentamicin, nitrofurantion, tobramycin, and trimethoprim-sulfamethoxazole. The findings of the study undertaken by our team reveal that reptile multi-drug-resistant Salmonella is present. Considering this aspect, the most effective way of preventing multi-drug-resistant Salmonella infections requires stringent hygiene control in reptile pet shops as well as ensuring proper animal handling once the animals leave the pet shop and are introduced into households.
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Affiliation(s)
- János Dégi
- Department of Infectious Diseases and Preventive Medicine, Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I", 300645 Timisoara, Romania
| | - Viorel Herman
- Department of Infectious Diseases and Preventive Medicine, Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I", 300645 Timisoara, Romania
| | - Isidora Radulov
- Faculty of Agriculture, University of Life Sciences "King Mihai I", 300645 Timisoara, Romania
| | - Florica Morariu
- Department of Animal Production Engineering, Faculty of Bioengineering of Animal Recourses, University of Life Sciences "King Mihai I", 300645 Timisoara, Romania
| | - Tiana Florea
- Department of Dermatology, Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I", 300645 Timisoara, Romania
| | - Kálmán Imre
- Department of Animal Production and Veterinary Public Health, Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I", 300645 Timisoara, Romania
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14
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Agga GE, Kaiser R, Polk J, Allard M. Prevalence and whole-genome sequencing characterization of Salmonella in urban karst groundwater and predominantly groundwater-fed surface waters for serotypes and antimicrobial resistance. JOURNAL OF ENVIRONMENTAL QUALITY 2023; 52:691-705. [PMID: 36852718 DOI: 10.1002/jeq2.20470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 02/15/2023] [Indexed: 05/06/2023]
Abstract
Karst aquifers provide a significant source of drinking water around the world; however, they are prone to bacterial contamination. We investigated the prevalence, serotypes, and antimicrobial resistance genes (ARGs) of Salmonella in urban karst groundwater and groundwater-fed surface waters. Weekly water samples (n = 443) were collected from nine groundwater sites and the Barren River in Bowling Green, KY. Additionally, cross-sectional samples were collected from 45 sites, including groundwaters and two rivers, in Tampa, FL. Salmonella was detected in 14.5% of Bowling Green samples resulting in 176 isolates representing 18 serotypes. Two (4.4%) of the Tampa samples were positive yielding eight isolates representing two serotypes. In Bowling Green, Salmonella prevalence varied by sampling site, week, month, and season, with the highest prevalence in surface water in the month of November and during summer. Salmonella Newport was the most common serotype detected. Nine of the serotypes detected in the study were among the top 20 serotypes commonly associated with human infections in the United States. Isolates were clustered with human clinical isolates, or isolates obtained from food animals, suggesting the importance of humans and agricultural practices as a source of water contamination. ARGs were detected in 12.5% (n = 176) of the Bowling Green isolates; overall, 81.8% (n = 22) of these were multidrug-resistant (resistance to ≥3 antimicrobial classes). Notably, the four Salmonella Agona isolates were resistant to four antimicrobial classes, mercury, and quaternary ammonium compounds. Seasonality and the widespread occurrence of Salmonella both in the groundwater and groundwater-fed surface waters is a potential risk to public health.
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Affiliation(s)
- Getahun E Agga
- USDA-ARS, Food Animal Environmental Systems Research Unit, Bowling Green, KY, USA
| | - Rachel Kaiser
- Department of Earth, Environmental, and Atmospheric Sciences, Western Kentucky University, Bowling Green, KY, USA
| | - Jason Polk
- Department of Earth, Environmental, and Atmospheric Sciences, Western Kentucky University, Bowling Green, KY, USA
| | - Marc Allard
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD, USA
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15
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Chan SH, Liau SH, Low YJ, Chng KR, Wu Y, Chan JSH, Tan LK. A Real-Time PCR Approach for Rapid Detection of Viable Salmonella Enteritidis in Shell Eggs. Microorganisms 2023; 11:microorganisms11040844. [PMID: 37110268 PMCID: PMC10143610 DOI: 10.3390/microorganisms11040844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 03/29/2023] Open
Abstract
Rapid and robust detection assays for Salmonella Enteritidis (SE) in shell eggs are essential to enable a quick testing turnaround time (TAT) at the earliest checkpoint and to ensure effective food safety control. Real-time polymerase chain reaction (qPCR) assays provide a workaround for the protracted lead times associated with conventional Salmonella diagnostic testing. However, DNA-based analysis cannot reliably discriminate between signals from viable and dead bacteria. We developed a strategy based on an SE qPCR assay that can be integrated into system testing to accelerate the detection of viable SE in egg-enriched cultures and verify the yielded SE isolates. The specificity of the assay was evaluated against 89 Salmonella strains, and SE was accurately identified in every instance. To define the indicator for a viable bacteria readout, viable or heat-inactivated SE were spiked into shell egg contents to generate post-enriched, artificially contaminated cultures to establish the quantification cycle (Cq) for viable SE. Our study has demonstrated that this technique could potentially be applied to accurately identify viable SE during the screening stage of naturally contaminated shell eggs following enrichment to provide an early alert, and that it consistently identified the serotypes of SE isolates in a shorter time than conventional testing.
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Affiliation(s)
- Siew Herng Chan
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore
| | - Sock Hwee Liau
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore
| | - Ying Jia Low
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore
| | - Kern Rei Chng
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore
| | - Yuansheng Wu
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore
| | - Joanne Sheot Harn Chan
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore
- Department of Food Science and Technology, National University of Singapore, S14 Level 5 Science Drive 2, Singapore 117542, Singapore
| | - Li Kiang Tan
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore
- Correspondence: ; Tel.: +65-6019-5826
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16
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Phenotypic Characterization and Comparative Genomic Analysis of Novel Salmonella Bacteriophages Isolated from a Tropical Rainforest. Int J Mol Sci 2023; 24:ijms24043678. [PMID: 36835084 PMCID: PMC9963771 DOI: 10.3390/ijms24043678] [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] [Received: 12/10/2022] [Revised: 02/03/2023] [Accepted: 02/09/2023] [Indexed: 02/17/2023] Open
Abstract
Salmonella infections across the globe are becoming more challenging to control due to the emergence of multidrug-resistant (MDR) strains. Lytic phages may be suitable alternatives for treating these multidrug-resistant Salmonella infections. Most Salmonella phages to date were collected from human-impacted environments. To further explore the Salmonella phage space, and to potentially identify phages with novel characteristics, we characterized Salmonella-specific phages isolated from the Penang National Park, a conserved rainforest. Four phages with a broad lytic spectrum (kills >5 Salmonella serovars) were further characterized; they have isometric heads and cone-shaped tails, and genomes of ~39,900 bp, encoding 49 CDSs. As the genomes share a <95% sequence similarity to known genomes, the phages were classified as a new species within the genus Kayfunavirus. Interestingly, the phages displayed obvious differences in their lytic spectrum and pH stability, despite having a high sequence similarity (~99% ANI). Subsequent analysis revealed that the phages differed in the nucleotide sequence in the tail spike proteins, tail tubular proteins, and portal proteins, suggesting that the SNPs were responsible for their differing phenotypes. Our findings highlight the diversity of novel Salmonella bacteriophages from rainforest regions, which can be explored as an antimicrobial agent against MDR-Salmonella strains.
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17
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Escobar V, Scaramozzino N, Vidic J, Buhot A, Mathey R, Chaix C, Hou Y. Recent Advances on Peptide-Based Biosensors and Electronic Noses for Foodborne Pathogen Detection. BIOSENSORS 2023; 13:bios13020258. [PMID: 36832024 PMCID: PMC9954637 DOI: 10.3390/bios13020258] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 01/31/2023] [Accepted: 02/07/2023] [Indexed: 05/26/2023]
Abstract
Foodborne pathogens present a serious issue around the world due to the remarkably high number of illnesses they cause every year. In an effort to narrow the gap between monitoring needs and currently implemented classical detection methodologies, the last decades have seen an increased development of highly accurate and reliable biosensors. Peptides as recognition biomolecules have been explored to develop biosensors that combine simple sample preparation and enhanced detection of bacterial pathogens in food. This review first focuses on the selection strategies for the design and screening of sensitive peptide bioreceptors, such as the isolation of natural antimicrobial peptides (AMPs) from living organisms, the screening of peptides by phage display and the use of in silico tools. Subsequently, an overview on the state-of-the-art techniques in the development of peptide-based biosensors for foodborne pathogen detection based on various transduction systems was given. Additionally, limitations in classical detection strategies have led to the development of innovative approaches for food monitoring, such as electronic noses, as promising alternatives. The use of peptide receptors in electronic noses is a growing field and the recent advances of such systems for foodborne pathogen detection are presented. All these biosensors and electronic noses are promising alternatives for the pathogen detection with high sensitivity, low cost and rapid response, and some of them are potential portable devices for on-site analyses.
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Affiliation(s)
- Vanessa Escobar
- Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France
- Grenoble Alpes University, CNRS, LIPhy, 38000 Grenoble, France
| | | | - Jasmina Vidic
- INRAE, AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Arnaud Buhot
- Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France
| | - Raphaël Mathey
- Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France
| | - Carole Chaix
- Institute of Analytical Sciences, University of Lyon, CNRS, Claude Bernard Lyon 1 University, UMR 5280, 69100 Villeurbanne, France
| | - Yanxia Hou
- Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France
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18
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Wu X, Luo H, Ge C, Xu F, Deng X, Wiedmann M, Baker RC, Stevenson AE, Zhang G, Tang S. Evaluation of multiplex nanopore sequencing for Salmonella serotype prediction and antimicrobial resistance gene and virulence gene detection. Front Microbiol 2023; 13:1073057. [PMID: 36817104 PMCID: PMC9930645 DOI: 10.3389/fmicb.2022.1073057] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 12/22/2022] [Indexed: 02/04/2023] Open
Abstract
In a previous study, Multiplex-nanopore-sequencing based whole genome sequencing (WGS) allowed for accurate in silico serotype prediction of Salmonella within one day for five multiplexed isolates, using both SISTR and SeqSero2. Since only ten serotypes were tested in our previous study, the conclusions above were yet to be evaluated in a larger scale test. In the current study we evaluated this workflow with 69 Salmonella serotypes and also explored the feasibility of using multiplex-nanopore-sequencing based WGS for antimicrobial resistance gene (AMR) and virulence gene detection. We found that accurate in silico serotype prediction with nanopore-WGS data was achieved within about five hours of sequencing at a minimum of 30× Salmonella genome coverage, with SeqSero2 as the serotype prediction tool. For each tested isolate, small variations were observed between the AMR/virulence gene profiles from the Illumina and Nanopore sequencing platforms. Taking results generated using Illumina data as the benchmark, the average precision value per isolate was 0.99 for both AMR and virulence gene detection. We found that the resistance gene identifier - RGI identified AMR genes with nanopore data at a much lower accuracy compared to Abricate, possibly due to RGI's less stringent minimum similarity and coverage by default for database matching. This study is an evaluation of multiplex-nanopore-sequencing based WGS as a cost-efficient and rapid Salmonella classification method, and a starting point for future validation and verification of using it as a AMR/virulence gene profiling tool for the food industry. This study paves the way for the application of nanopore sequencing in surveillance, tracking, and risk assessment of Salmonella across the food supply chain.
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Affiliation(s)
- Xingwen Wu
- Mars Global Food Safety Center, Beijing, China
| | - Hao Luo
- Mars Global Food Safety Center, Beijing, China
| | - Chongtao Ge
- Mars Global Food Safety Center, Beijing, China
| | - Feng Xu
- Mars Global Food Safety Center, Beijing, China
| | - Xiangyu Deng
- Center for Food Safety, University of Georgia, Griffin, GA, United States
| | - Martin Wiedmann
- Department of Food Science, Cornell University, Ithaca, NY, United States
| | | | | | | | - Silin Tang
- Mars Global Food Safety Center, Beijing, China,*Correspondence: Silin Tang, ✉
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Wu C, Liu L, Sui Y, Huang L, Chen Y, Hao H, Pan Y, Liu Z, Cheng G. Antimicrobial resistance and molecular typing of Salmonella in the chicken production chain in Hubei Province, China. ANIMAL DISEASES 2022. [DOI: 10.1186/s44149-022-00063-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
AbstractSalmonella is a significant foodborne zoonotic pathogen that endangers both human and animal health. The goal of this research is to gain a preliminary understanding of Salmonella contamination and antimicrobial resistance in the chicken production chain in Hubei Province, China. 1149 animal and environmental samples were collected from chicken farms, slaughterhouses, and retail markets in six cities across Hubei Province in China from 2019 to 2020, yielding Salmonella isolation rates of 4.68% (28/598), 12.21% (47/385), and 9.64% (16/166), respectively. Seventeen distinct serotypes were detected among 53 non-clonal Salmonella strains, of which Meleagridis (26.42%, 14/53) was the dominant serotype. Almost half of the strains (49.06%, 26/53) were multi-drug resistant (MDR). Whole-genome sequencing (WGS) showed that 10 resistance genes (tetA, blaTEM, parC, qnrS1, floR, aac(6′)-Iy, aph(6)-Id, aph(3″)-Ib, aac(6′)-Iaa and sul2) and 7 categories of virulence genes were present in all three links in 22 non-clonal dominant serotype strains. It was shown that Salmonella in the chicken production chain in Hubei Province had a high resistance rate to Tetracycline (TET, 73.58%), Ofloxacin (OFL, 69.81%), Florfenicol (FFC, 60.38%) and Ampicillin (AMP, 39.62%) which was consistent with the widespread use of these drugs in the husbandry industry in China. Salmonella ST types determined by MLST and serotypes determined by WGS had a one-to-one correlation. Minimum spanning tree analysis revealed that there was cross contamination of Salmonella in farms and slaughterhouses, slaughterhouses and markets, animal samples and environmental samples. This work provides useful information for the prevention and control of contamination and antimicrobial resistance of Salmonella in the chicken production chain, as well as demonstrating the dependable role of WGS in Salmonella molecular typing.
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Turcotte MR, Smith JT, Li J, Zhang X, Wolfe KL, Gao F, Benton CS, Andam CP. Genome characteristics of clinical Salmonella enterica population from a state public health laboratory, New Hampshire, USA, 2017–2020. BMC Genomics 2022; 23:537. [PMID: 35870884 PMCID: PMC9308939 DOI: 10.1186/s12864-022-08769-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 07/15/2022] [Indexed: 12/27/2022] Open
Abstract
Abstract
Background
The implementation of whole genome sequencing (WGS) by PulseNet, the molecular subtyping network for foodborne diseases, has transformed surveillance, outbreak detection, and public health laboratory practices in the United States. In 2017, the New Hampshire Public Health Laboratories, a member of PulseNet, commenced the use of WGS in tracking foodborne pathogens across the state. We present some of the initial results of New Hampshire’s initiative to transition to WGS in tracking Salmonella enterica, a bacterial pathogen that is responsible for non-typhoidal foodborne infections and enteric fever. We characterize the population structure and evolutionary history of 394 genomes of isolates recovered from human clinical cases in New Hampshire from 2017 to 2020.
Results
The New Hampshire S. enterica population is phylogenetically diverse, consisting of 78 sequence types (ST) and 67 serotypes. Six lineages dominate the population: ST 11 serotype Enteritidis, ST 19 Typhimurium, ST 32 Infantis, ST 118 Newport, ST 22 Braenderup, and ST 26 Thompson. Each lineage is derived from long ancestral branches in the phylogeny, suggesting their extended presence in the region and recent clonal expansion. We detected 61 genes associated with resistance to 14 antimicrobial classes. Of these, unique genes of five antimicrobial classes (aminocoumarins, aminoglycosides, fluoroquinolones, nitroimidazoles, and peptides) were detected in all genomes. Rather than a single clone carrying multiple resistance genes expanding in the state, we found multiple lineages carrying different combinations of independently acquired resistance determinants. We estimate the time to the most recent common ancestor of the predominant lineage ST 11 serotype Enteritidis (126 genomes) to be 1965 (95% highest posterior density intervals: 1927–1982). Its population size expanded until 1978, followed by a population decline until 1990. This lineage has been expanding since then. Comparison with genomes from other states reveal lack of geographical clustering indicative of long-distance dissemination.
Conclusions
WGS studies of standing pathogen diversity provide critical insights into the population and evolutionary dynamics of lineages and antimicrobial resistance, which can be translated to effective public health action and decision-making. We highlight the need to strengthen efforts to implement WGS-based surveillance and genomic data analyses in state public health laboratories.
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21
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Sanni AO, Onyango J, Usman A, Abdulkarim LO, Jonker A, Fasina FO. Risk Factors for Persistent Infection of Non-Typhoidal Salmonella in Poultry Farms, North Central Nigeria. Antibiotics (Basel) 2022; 11:antibiotics11081121. [PMID: 36009991 PMCID: PMC9405283 DOI: 10.3390/antibiotics11081121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/13/2022] [Accepted: 08/17/2022] [Indexed: 11/22/2022] Open
Abstract
Salmonellosis is a bacterial zoonosis causing an array of health conditions. Non-typhoidal salmonellosis (NTS) has a discrete adaptation to certain animals; in poultry, pullorum and fowl typhoid are its primary disease manifestations. The diseases are prevalent in Nigerian poultry and have been well-studied in Nigeria, but less so in North Central Nigeria (NCN). Using field sampling, laboratory methods and a semi-structured questionnaire for 1000 poultry farms in NCN, we explored the incidence and risk factors for the persistence of NTS infection in poultry. Approximately 41.6% of the farms had experienced NTS over the last 18 months. Farm experience of NTS moderately predicted awareness of salmonellosis. Increasing stock in smallholder farms, self-mixing of concentrate on the farm, usage of stream water, pen odour, non-adherence and partial adherence of farms to recommended poultry vaccination against pullorum and fowl typhoid and lack of and non-adherence to biosecurity were identified risk factors that increased the odds of NTS infection in poultry. Antibiotic use practice may have reduced the isolation rate of NTS, yet NTS continues to challenge poultry farms in Nigeria. Identified risk practices must be mitigated intentionally and biosecurity and hygiene must be improved to reduce the burden of NTS.
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Affiliation(s)
- Abdullahi O. Sanni
- Department of Veterinary Tropical Diseases, University of Pretoria, Onderstepoort, Pretoria 0110, South Africa
- Agro-Processing, Productivity Enhancement and Livelihood Improvement Support (APPEALS) Project, Lokoja 260101, Kogi State, Nigeria
| | - Joshua Onyango
- Harper and Keele Veterinary School, Harper Adams University, Newport TF10 8NB, UK
| | - Abdulkadir Usman
- Department of Animal Production, Federal University of Technology, Minna 920101, Niger, Nigeria
| | - Latifah O. Abdulkarim
- Agro-Processing, Productivity Enhancement and Livelihood Improvement Support (APPEALS) Project, Lokoja 260101, Kogi State, Nigeria
| | - Annelize Jonker
- Department of Veterinary Tropical Diseases, University of Pretoria, Onderstepoort, Pretoria 0110, South Africa
| | - Folorunso O. Fasina
- Department of Veterinary Tropical Diseases, University of Pretoria, Onderstepoort, Pretoria 0110, South Africa
- ECTAD Food and Agriculture Organization of the United Nations, Nairobi 00100, Kenya
- Correspondence: or ; Tel.: +254-111-3232-70
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22
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Guard J. Through the Looking Glass: Genome, Phenome, and Interactome of Salmonella enterica. Pathogens 2022; 11:pathogens11050581. [PMID: 35631102 PMCID: PMC9144603 DOI: 10.3390/pathogens11050581] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 05/10/2022] [Accepted: 05/11/2022] [Indexed: 11/16/2022] Open
Abstract
This review revisits previous concepts on biological phenomenon contributing to the success of the Salmonella enterica subspecies I as a pathogen and expands upon them to include progress in epidemiology based on whole genome sequencing (WGS). Discussion goes beyond epidemiological uses of WGS to consider how phenotype, which is the biological character of an organism, can be correlated with its genotype to develop a knowledge of the interactome. Deciphering genome interactions with proteins, the impact of metabolic flux, epigenetic modifications, and other complex biochemical processes will lead to new therapeutics, control measures, environmental remediations, and improved design of vaccines.
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Affiliation(s)
- Jean Guard
- U. S. Department of Agriculture, Agricultural Research Service, U. S. National Poultry Research Center, 950 College Station Road, Athens, GA 30605, USA
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23
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Takaichi M, Osawa K, Nomoto R, Nakanishi N, Kameoka M, Miura M, Shigemura K, Kinoshita S, Kitagawa K, Uda A, Miyara T, Mertaniasih NM, Hadi U, Raharjo D, Yulistiani R, Fujisawa M, Kuntaman K, Shirakawa T. Antibiotic Resistance in Non-Typhoidal Salmonella enterica Strains Isolated from Chicken Meat in Indonesia. Pathogens 2022; 11:pathogens11050543. [PMID: 35631064 PMCID: PMC9143091 DOI: 10.3390/pathogens11050543] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/30/2022] [Accepted: 04/30/2022] [Indexed: 12/04/2022] Open
Abstract
The increase in antibiotic resistance in non-typhoidal Salmonella enterica (NTS) has been confirmed in Indonesia by this study. We confirmed the virulence genes and antimicrobial susceptibilities of clinical NTS (n = 50) isolated from chicken meat in Indonesia and also detected antimicrobial resistance genes. Of 50 strains, 30 (60%) were non-susceptible to nalidixic acid (NA) and all of them had amino acid mutations in gyrA. Among 27 tetracycline (TC) non-susceptible strains, 22 (81.5%) had tetA and/or tetB. The non-susceptibility rates to ampicillin, gentamicin or kanamycin were lower than that of NA or TC, but the prevalence of blaTEM or aadA was high. Non-susceptible strains showed a high prevalence of virulence genes compared with the susceptible strains (tcfA, p = 0.014; cdtB, p < 0.001; sfbA, p < 0.001; fimA, p = 0.002). S. Schwarzengrund was the most prevalent serotype (23 strains, 46%) and the most frequently detected as multi-antimicrobial resistant. The prevalence of virulence genes in S. Schwarzengrund was significantly higher than other serotypes in hlyE (p = 0.011) and phoP/Q (p = 0.011) in addition to the genes above. In conclusion, NTS strains isolated from Indonesian chicken had a high resistance to antibiotics and many virulence factors. In particular, S. Schwarzengrund strains were most frequently detected as multi-antimicrobial resistant and had a high prevalence of virulence genes.
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Affiliation(s)
- Minori Takaichi
- Department of Public Health, Kobe University Graduate School of Health Sciences, Kobe 654-0142, Japan; (M.T.); (M.K.); (K.S.)
| | - Kayo Osawa
- Department of Medical Technology, Kobe Tokiwa University, Kobe 653-0838, Japan;
- Correspondence:
| | - Ryohei Nomoto
- Department of Infectious Diseases, Kobe Institute of Health, Kobe 650-0046, Japan; (R.N.); (N.N.)
| | - Noriko Nakanishi
- Department of Infectious Diseases, Kobe Institute of Health, Kobe 650-0046, Japan; (R.N.); (N.N.)
| | - Masanori Kameoka
- Department of Public Health, Kobe University Graduate School of Health Sciences, Kobe 654-0142, Japan; (M.T.); (M.K.); (K.S.)
| | - Makiko Miura
- Department of Medical Technology, Kobe Tokiwa University, Kobe 653-0838, Japan;
| | - Katsumi Shigemura
- Department of Public Health, Kobe University Graduate School of Health Sciences, Kobe 654-0142, Japan; (M.T.); (M.K.); (K.S.)
- Division of Urology, Department of Organ Therapeutics, Faculty of Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan; (M.F.); (T.S.)
| | - Shohiro Kinoshita
- Division of Advanced Medical Science, Kobe University Graduate School of Science, Technology and Innovation, Kobe 650-0017, Japan; (S.K.); (K.K.)
| | - Koichi Kitagawa
- Division of Advanced Medical Science, Kobe University Graduate School of Science, Technology and Innovation, Kobe 650-0017, Japan; (S.K.); (K.K.)
| | - Atsushi Uda
- Department of Infection Control and Prevention, Kobe University Hospital, Kobe 650-0017, Japan; (A.U.); (T.M.)
- Department of Pharmacy, Kobe University Hospital, Kobe 650-0017, Japan
| | - Takayuki Miyara
- Department of Infection Control and Prevention, Kobe University Hospital, Kobe 650-0017, Japan; (A.U.); (T.M.)
| | - Ni Made Mertaniasih
- Department of Microbiology, Faculty of Medicine, Airlangga University, Surabaya 60132, Indonesia; (N.M.M.); (U.H.)
| | - Usman Hadi
- Department of Microbiology, Faculty of Medicine, Airlangga University, Surabaya 60132, Indonesia; (N.M.M.); (U.H.)
| | - Dadik Raharjo
- Institute of Tropical Disease, Airlangga University, Surabaya 60286, Indonesia; (D.R.); (K.K.)
- Department of Veterinary Public Health, Faculty of Veterinary Medicine, Airlangga University, Surabaya 60115, Indonesia
| | - Ratna Yulistiani
- Department of Food Technology, Faculty of Engineering, Universitas Pembangunan Nasional Veteran Jawa Timur, Surabaya 60294, Indonesia;
| | - Masato Fujisawa
- Division of Urology, Department of Organ Therapeutics, Faculty of Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan; (M.F.); (T.S.)
| | - Kuntaman Kuntaman
- Institute of Tropical Disease, Airlangga University, Surabaya 60286, Indonesia; (D.R.); (K.K.)
- Department of Veterinary Public Health, Faculty of Veterinary Medicine, Airlangga University, Surabaya 60115, Indonesia
| | - Toshiro Shirakawa
- Division of Urology, Department of Organ Therapeutics, Faculty of Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan; (M.F.); (T.S.)
- Division of Advanced Medical Science, Kobe University Graduate School of Science, Technology and Innovation, Kobe 650-0017, Japan; (S.K.); (K.K.)
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24
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Evaluation of the different methods to detect Salmonella in poultry feces samples. Arch Microbiol 2022; 204:269. [PMID: 35441892 DOI: 10.1007/s00203-022-02840-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 03/12/2022] [Accepted: 03/13/2022] [Indexed: 11/02/2022]
Abstract
Salmonella is one of the most common causes of foodborne outbreaks and infection worldwide. The gold-standard detection method of Salmonella is cultivation. There is a need to investigate rapid and accurate processes with time-consuming cultivation. The study evaluated different approaches to detect Salmonella in poultry feces samples. Poultry farm feces samples from 21 cities in Iran were collected from January 2016 to December 2019. Microbiological cultures, serological assays, and multiplex PCR (m-PCR) were used to detect and characterize Salmonella spp. isolates. Serological assays and m-PCR were used to determine the serogroups A, B, C1, C2, D1, E, H, and FliC. The m-PCR was used to detect seven Salmonella serovars, and a Chi-square test was performed to compare the discriminatory power of the methods. Of 2300 poultry feces samples, 173 (7.5%) and 166 (7.2%) samples were detected as Salmonella spp. by cultivation and m-PCR, respectively. The sensitivity of the molecular method was equal to cultivation at 0.96 (CI = 95%). Assessment of H antigenic subgroups showed the same for both m-PCR and serological tests. Therefore, the matching rate of the two methods for detecting all H antigenic subgroups was 100%. Thus, the relationship between the results obtained from both methods was significant in the contingency table test (P < 0.01). The PCR-based approach confirmed the detection of Salmonella in a shorter period (24-36 h) compared to the conventional microbiological approach (3-8 days).
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25
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Zakaria Z, Hassan L, Sharif Z, Ahmad N, Mohd Ali R, Amir Husin S, Mohamed Sohaimi N, Abu Bakar S, Garba B. Virulence Gene Profile, Antimicrobial Resistance and Multilocus Sequence Typing of Salmonella enterica Subsp. enterica Serovar Enteritidis from Chickens and Chicken Products. Animals (Basel) 2022; 12:ani12010097. [PMID: 35011203 PMCID: PMC8749576 DOI: 10.3390/ani12010097] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 11/01/2021] [Accepted: 11/04/2021] [Indexed: 01/19/2023] Open
Abstract
This study was undertaken to determine the virulence, antimicrobial resistance and molecular subtypes of Salmonella in the Central Region of Peninsular Malaysia. A total of 45 Salmonella Enteritidis were detected from live chicken (cloacal swab), and chicken products (fresh and ready-to-eat meat) samples upon cultural isolation and serotyping. Similarly, an antimicrobial susceptibility test based on the Kirby Bauer disk diffusion method as well as antimicrobial resistance AMR genes, virulence determinants and multilocus sequence typing (MLST) typing were conducted after the Whole Genome Sequencing and analysis of the isolates. The results indicate that sequence types ST1925 (63.7%), and ST11 (26.5%) were the predominant out of the seven sequence types identified (ST292, ST329, ST365, ST423 and ST2132). The phenotypic antimicrobial profile corresponds to the genotypic characterization in that the majority of the isolates that exhibited tetracycline, gentamycin and aminoglycoside resistance; they also possessed the tetC and blaTEM β-Lactam resistance genes. However, isolates from cloacal swabs showed the highest number of resistance genes compared to the chicken products (fresh and ready-to-eat meat) samples. Furthermore, most of the virulence genes were found to cluster in the Salmonella pathogenicity island (SPI). In this study, all the isolates were found to possess SPI-1, which codes for the type III secretion system, which functions as actin-binding proteins (SptP and SopE). The virulence plasmid (VP) genes (spvB, spvC) were present in all genotypes except ST365. The findings of this study, particularly with regard to the molecular subtypes and AMR profiles of the Salmonella Enteritidis serotype shows multidrug-resistance features as well as genetic characteristics indicative of high pathogenicity.
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Affiliation(s)
- Zunita Zakaria
- Institute of Bioscience, Universiti Putra Malaysia, Serdang 43400, Malaysia
- Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang 43400, Malaysia;
- Correspondence:
| | - Latiffah Hassan
- Department of Veterinary Laboratory Diagnostics, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang 43400, Malaysia; (L.H.); (N.M.S.)
| | - Zawiyah Sharif
- Food Safety and Quality Division, Ministry of Health, Putrajaya 62675, Malaysia; (Z.S.); (S.A.B.)
| | - Norazah Ahmad
- Veterinary Public Health Division, Department of Veterinary Services Malaysia, Putrajaya 62630, Malaysia; (N.A.); (R.M.A.)
| | - Rohaya Mohd Ali
- Veterinary Public Health Division, Department of Veterinary Services Malaysia, Putrajaya 62630, Malaysia; (N.A.); (R.M.A.)
| | - Suraya Amir Husin
- Medical Development Division, Ministry of Health, Putrajaya 62590, Malaysia;
| | - Norfitriah Mohamed Sohaimi
- Department of Veterinary Laboratory Diagnostics, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang 43400, Malaysia; (L.H.); (N.M.S.)
| | - Shafini Abu Bakar
- Food Safety and Quality Division, Ministry of Health, Putrajaya 62675, Malaysia; (Z.S.); (S.A.B.)
| | - Bashiru Garba
- Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang 43400, Malaysia;
- Faculty of Veterinary Medicine, Usmanu Danfodiyo University, Sultan Abubakar Road, City Campus Complex, Sokoto 840212, Nigeria
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26
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Prevalence, antimicrobial resistance, and genotype diversity of Salmonella isolates recovered from retail meat in Hebei Province, China. Int J Food Microbiol 2021; 364:109515. [PMID: 35030440 DOI: 10.1016/j.ijfoodmicro.2021.109515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 12/02/2021] [Accepted: 12/21/2021] [Indexed: 11/20/2022]
Abstract
This study investigated the prevalence of Salmonella in 210 retail meat samples (105 raw chicken and 105 raw pork) collected from supermarkets and wet markets in 13 areas of Hebei Province, China, from June to October 2018. Whole-genome sequencing was performed on all 125 Salmonella isolates to investigate their genetic relationship. Core genome multilocus sequence typing of 77 representative isolates was used to further elucidate the genetic relatedness among the Salmonella isolated from retail meat. The mean detection rate of Salmonella in all samples was 59.5% (125/210). The prevalence of Salmonella was 53.3% (56/105) in chicken and 65.7% (69/105) in pork. Chicken and pork samples collected in July had the highest detection rate of Salmonella among the sampling months. The isolates were assigned to 19 serotypes, with S. Derby, S. London, and S. Thompson being the most frequent serotypes. Resistance to tetracycline (primarily used for the treatment of bacterial infections) was observed in 89.6% of the isolates, and 84.0% were resistant to doxycycline (also a tetracycline antibiotic) or gemifloxacin (commonly used for clinical treatment of human acute bronchitis). More than 80% of the isolates were multidrug resistant. A total of 21 sequence types were identified. Sequence type 40 (ST-40), the predominant genotype among all isolates, was found only in pork; the sequence types of chicken isolates were more diverse. A total of 58 different antibiotic resistance genes (ARGs) were detected in the 125 isolates. Most types of ARGs were associated with aminoglycoside and β-lactam resistance. Nevertheless, the tetracycline resistance gene tet(A) was the most frequently occurring ARG in all isolates at 78.4%. Multiple isolates of ST-26 contained 20 ARGs. All isolates of ST-40 were divided into two clusters, with at least 160 allelic differences between them. The findings highlight the need to continually monitor ARGs in foodborne Salmonella with particular emphasis on ST-40 and ST-26; the monitoring should include as many retail meat types as possible in the study area.
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27
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Brown EW, Bell R, Zhang G, Timme R, Zheng J, Hammack TS, Allard MW. Salmonella Genomics in Public Health and Food Safety. EcoSal Plus 2021; 9:eESP00082020. [PMID: 34125583 PMCID: PMC11163839 DOI: 10.1128/ecosalplus.esp-0008-2020] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 03/16/2021] [Indexed: 12/26/2022]
Abstract
The species Salmonella enterica comprises over 2,600 serovars, many of which are known to be intracellular pathogens of mammals, birds, and reptiles. It is now apparent that Salmonella is a highly adapted environmental microbe and can readily persist in a number of environmental niches, including water, soil, and various plant (including produce) species. Much of what is known about the evolution and diversity of nontyphoidal Salmonella serovars (NTS) in the environment is the result of the rise of the genomics era in enteric microbiology. There are over 340,000 Salmonella genomes available in public databases. This extraordinary breadth of genomic diversity now available for the species, coupled with widespread availability and affordability of whole-genome sequencing (WGS) instrumentation, has transformed the way in which we detect, differentiate, and characterize Salmonella enterica strains in a timely way. Not only have WGS data afforded a detailed and global examination of the molecular epidemiological movement of Salmonella from diverse environmental reservoirs into human and animal hosts, but they have also allowed considerable consolidation of the diagnostic effort required to test for various phenotypes important to the characterization of Salmonella. For example, drug resistance, serovar, virulence determinants, and other genome-based attributes can all be discerned using a genome sequence. Finally, genomic analysis, in conjunction with functional and phenotypic approaches, is beginning to provide new insights into the precise adaptive changes that permit persistence of NTS in so many diverse and challenging environmental niches.
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Affiliation(s)
- Eric W. Brown
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Rebecca Bell
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Guodong Zhang
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Ruth Timme
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Jie Zheng
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Thomas S. Hammack
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Marc W. Allard
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
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28
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Tiruvayipati S, Tang WY, Barkham TMS, Chen SL. GBS-SBG - GBS Serotyping by Genome Sequencing. Microb Genom 2021; 7:000688. [PMID: 34895403 PMCID: PMC9842102 DOI: 10.1099/mgen.0.000688] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Group B Streptococcus (GBS; Streptococcus agalactiae) is the most common cause of neonatal meningitis and a rising cause of sepsis in adults. Recently, it has also been shown to cause foodborne disease. As with many other bacteria, the polysaccharide capsule of GBS is antigenic, enabling its use for strain serotyping. Recent advances in DNA sequencing have made sequence-based typing attractive (as has been implemented for several other bacteria, including Escherichia coli, Klebsiella pneumoniae species complex, Streptococcus pyogenes, and others). For GBS, existing WGS-based serotyping systems do not provide complete coverage of all known GBS serotypes (specifically including subtypes of serotype III), and none are simultaneously compatible with the two most common data types, raw short reads and assembled sequences. Here, we create a serotyping database (GBS-SBG, GBS Serotyping by Genome Sequencing), with associated scripts and running instructions, that can be used to call all currently described GBS serotypes, including subtypes of serotype III, using both direct short-read- and assembly-based typing. We achieved higher concordance using GBS-SBG on a previously reported data set of 790 strains. We further validated GBS-SBG on a new set of 572 strains, achieving 99.8% concordance with PCR-based molecular serotyping using either short-read- or assembly-based typing. The GBS-SBG package is publicly available and will hopefully accelerate and simplify serotyping by sequencing for GBS.
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Affiliation(s)
- Suma Tiruvayipati
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Ying Tang
- Department of Laboratory Medicine, Tan Tock Seng Hospital, Singapore
| | | | - Swaine L. Chen
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Laboratory of Bacterial Genomics, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672,*Correspondence: Swaine L. Chen,
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29
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Multidrug Resistance Dynamics in Salmonella in Food Animals in the United States: An Analysis of Genomes from Public Databases. Microbiol Spectr 2021; 9:e0049521. [PMID: 34704804 PMCID: PMC8549754 DOI: 10.1128/spectrum.00495-21] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
The number of bacterial genomes deposited each year in public databases is growing exponentially. However, efforts to use these genomes to track trends in antimicrobial resistance (AMR) have been limited thus far. We used 22,102 genomes from public databases to track AMR trends in nontyphoidal Salmonella in food animals in the United States. In 2018, genomes deposited in public databases carried genes conferring resistance, on average, to 2.08 antimicrobial classes in poultry, 1.74 in bovines, and 1.28 in swine. This represents a decline in AMR of over 70% compared to the levels in 2000 in bovines and swine, and an increase of 13% for poultry. Trends in resistance inferred from genomic data showed good agreement with U.S. phenotypic surveillance data (weighted mean absolute difference ± standard deviation, 5.86% ± 8.11%). In 2018, resistance to 3rd-generation cephalosporins in bovines, swine, and poultry decreased to 9.97% on average, whereas in quinolones and 4th-generation cephalosporins, resistance increased to 12.53% and 3.87%, respectively. This was concomitant with a decrease of blaCMY-2 but an increase in blaCTX-M-65 and gyrA D87Y (encoding a change of D to Y at position 87). Core genome single-nucleotide polymorphism (SNP) phylogenies show that resistance to these antimicrobial classes was predominantly associated with Salmonella enterica serovar Infantis and, to a lesser extent, S. enterica serovar Typhimurium and its monophasic variant I 4,[5],12:i:−, whereas quinolone resistance was also associated with S. enterica serovar Dublin. Between 2000 and 2018, trends in serovar prevalence showed a composition shift where S. Typhimurium decreased while S. Infantis increased. Our findings illustrate the growing potential of using genomes in public databases to track AMR in regions where sequencing capacities are currently expanding. IMPORTANCE Next-generation sequencing has led to an exponential increase in the number of genomes deposited in public repositories. This growing volume of information presents opportunities to track the prevalence of genes conferring antimicrobial resistance (AMR), a growing threat to the health of humans and animals. Using 22,102 public genomes, we estimated that the prevalence of multidrug resistance (MDR) in the United States decreased in nontyphoidal Salmonella isolates recovered from bovines and swine between 2000 and 2018, whereas it increased in poultry. These trends are consistent with those detected by national surveillance systems that monitor resistance using phenotypic testing. However, using genomes, we identified that genes conferring resistance to critically important antimicrobials were associated with specific MDR serovars that could be the focus for future interventions. Our analysis illustrates the growing potential of public repositories to monitor AMR trends and shows that similar efforts could soon be carried out in other regions where genomic surveillance is increasing.
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30
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Carroll LM, Buehler AJ, Gaballa A, Siler JD, Cummings KJ, Cheng RA, Wiedmann M. Monitoring the Microevolution of Salmonella enterica in Healthy Dairy Cattle Populations at the Individual Farm Level Using Whole-Genome Sequencing. Front Microbiol 2021; 12:763669. [PMID: 34733267 PMCID: PMC8558520 DOI: 10.3389/fmicb.2021.763669] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 09/28/2021] [Indexed: 11/13/2022] Open
Abstract
Livestock represent a possible reservoir for facilitating the transmission of the zoonotic foodborne pathogen Salmonella enterica to humans; there is also concern that strains can acquire resistance to antimicrobials in the farm environment. Here, whole-genome sequencing (WGS) was used to characterize Salmonella strains (n = 128) isolated from healthy dairy cattle and their associated environments on 13 New York State farms to assess the diversity and microevolution of this important pathogen at the level of the individual herd. Additionally, the accuracy and concordance of multiple in silico tools are assessed, including: (i) two in silico serotyping tools, (ii) combinations of five antimicrobial resistance (AMR) determinant detection tools and one to five AMR determinant databases, and (iii) one antimicrobial minimum inhibitory concentration (MIC) prediction tool. For the isolates sequenced here, in silico serotyping methods outperformed traditional serotyping and resolved all un-typable and/or ambiguous serotype assignments. Serotypes assigned in silico showed greater congruency with the Salmonella whole-genome phylogeny than traditional serotype assignments, and in silico methods showed high concordance (99% agreement). In silico AMR determinant detection methods additionally showed a high degree of concordance, regardless of the pipeline or database used (≥98% agreement among susceptible/resistant assignments for all pipeline/database combinations). For AMR detection methods that relied exclusively on nucleotide BLAST, accuracy could be maximized by using a range of minimum nucleotide identity and coverage thresholds, with thresholds of 75% nucleotide identity and 50-60% coverage adequate for most pipeline/database combinations. In silico characterization of the microevolution and AMR dynamics of each of six serotype groups (S. Anatum, Cerro, Kentucky, Meleagridis, Newport, Typhimurium/Typhimurium variant Copenhagen) revealed that some lineages were strongly associated with individual farms, while others were distributed across multiple farms. Numerous AMR determinant acquisition and loss events were identified, including the recent acquisition of cephalosporin resistance-conferring bla CMY- and bla CTX-M-type beta-lactamases. The results presented here provide high-resolution insight into the temporal dynamics of AMR Salmonella at the scale of the individual farm and highlight both the strengths and limitations of WGS in tracking zoonotic pathogens and their associated AMR determinants at the livestock-human interface.
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Affiliation(s)
- Laura M. Carroll
- Department of Food Science, Cornell University, Ithaca, NY, United States
| | - Ariel J. Buehler
- Department of Food Science, Cornell University, Ithaca, NY, United States
| | - Ahmed Gaballa
- Department of Food Science, Cornell University, Ithaca, NY, United States
| | - Julie D. Siler
- Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, United States
| | - Kevin J. Cummings
- Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, United States
| | - Rachel A. Cheng
- Department of Food Science, Cornell University, Ithaca, NY, United States
| | - Martin Wiedmann
- Department of Food Science, Cornell University, Ithaca, NY, United States
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31
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Yang SM, Kim E, Kim D, Kim HB, Baek J, Ko S, Kim D, Yoon H, Kim HY. Rapid Real-Time Polymerase Chain Reaction for Salmonella Serotyping Based on Novel Unique Gene Markers by Pangenome Analysis. Front Microbiol 2021; 12:750379. [PMID: 34621261 PMCID: PMC8491608 DOI: 10.3389/fmicb.2021.750379] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 09/02/2021] [Indexed: 11/13/2022] Open
Abstract
An accurate diagnostic method for Salmonella serovars is fundamental to preventing the spread of associated diseases. A diagnostic polymerase chain reaction (PCR)-based method has proven to be an effective tool for detecting pathogenic bacteria. However, the gene markers currently used in real-time PCR to detect Salmonella serovars have low specificity and are developed for only a few serovars. Therefore, in this study, we explored the novel unique gene markers for 60 serovars that share similar antigenic formulas and show high prevalence using pangenome analysis and developed a real-time PCR to detect them. Before exploring gene markers, the 535 Salmonella genomes were evaluated, and some genomes had serovars different from the designated serovar information. Based on these analyses, serovar-specific gene markers were explored. These markers were identified as genes present in all strains of target serovar genomes but absent in strains of other serovar genomes. Serovar-specific primer pairs were designed from the gene markers, and a real-time PCR method that can distinguish between 60 of the most common Salmonella serovars in a single 96-well plate assay was developed. As a result, real-time PCR showed 100% specificity for 199 Salmonella and 29 non-Salmonella strains. Subsequently, the method developed was applied successfully to both strains with identified serovars and an unknown strain, demonstrating that real-time PCR can accurately detect serovars of strains compared with traditional serotyping methods, such as antisera agglutination. Therefore, our method enables rapid and economical Salmonella serotyping compared with the traditional serotyping method.
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Affiliation(s)
- Seung-Min Yang
- Institute of Life Sciences and Resources, Department of Food Science and Biotechnology, Kyung Hee University, Yongin, South Korea
| | - Eiseul Kim
- Institute of Life Sciences and Resources, Department of Food Science and Biotechnology, Kyung Hee University, Yongin, South Korea
| | - Dayoung Kim
- Institute of Life Sciences and Resources, Department of Food Science and Biotechnology, Kyung Hee University, Yongin, South Korea
| | - Hyeon-Be Kim
- Institute of Life Sciences and Resources, Department of Food Science and Biotechnology, Kyung Hee University, Yongin, South Korea
| | - Jiwon Baek
- Department of Molecular Science and Technology, Ajou University, Suwon, South Korea
| | - Seyoung Ko
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.,School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea
| | - Donghyuk Kim
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.,School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea
| | - Hyunjin Yoon
- Department of Molecular Science and Technology, Ajou University, Suwon, South Korea
| | - Hae-Yeong Kim
- Institute of Life Sciences and Resources, Department of Food Science and Biotechnology, Kyung Hee University, Yongin, South Korea
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32
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Drzewiecka D, Palusiak A, Siwińska M, Zabłotni A. The prevailing O serogroups among the serologically differentiated clinical Proteus spp. strains in central Poland. Sci Rep 2021; 11:18982. [PMID: 34556711 PMCID: PMC8460819 DOI: 10.1038/s41598-021-98228-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 09/03/2021] [Indexed: 11/09/2022] Open
Abstract
In the years 2006–2011, 617 Proteus spp. strains isolated mostly from urine and wounds or other clinical sources were collected in Łódź, Poland, to determine the offensive O serotypes frequently occurring among patients. P. mirabilis exhibited the most intensive swarming growth and was dominating species (86.9%), followed by P. genomospecies, P. vulgaris, and P. penneri. Ninety four per cent strains were recognized as S (smooth) forms. Serological studies (involving ELISA—enzyme-linked immunosorbent assay and Western blotting using native and adsorbed rabbit antisera) enabled classification of 80% S isolates into respective Proteus O serogroups among the 83 ones, described so far. The remaining strains seemed to be serologically unique. Despite the observed big serological variety of Proteus spp. isolates, we found the O78 serogroup recently described in Poland as dominating and identified other widespread serotypes: O3, O6, O10, O11, O27, O28, and O30 reported earlier as predominating also in other countries; O77 and O79 detected lately in Poland; O16, O18, O20, and O50. No unique structural feature of the prevalent O serotypes has been indicated. However, the prevalence of some O serogroups indicates that particular serotypes may be in some ways beneficial to the strains producing these kinds of O antigen.
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Affiliation(s)
- Dominika Drzewiecka
- Department of Biology of Bacteria, Faculty of Biology and Environmental Protection, University of Lodz, Banacha 12/16, 90-237, Łódź, Poland.
| | - Agata Palusiak
- Department of Biology of Bacteria, Faculty of Biology and Environmental Protection, University of Lodz, Banacha 12/16, 90-237, Łódź, Poland
| | - Małgorzata Siwińska
- Department of Biology of Bacteria, Faculty of Biology and Environmental Protection, University of Lodz, Banacha 12/16, 90-237, Łódź, Poland
| | - Agnieszka Zabłotni
- Department of Biology of Bacteria, Faculty of Biology and Environmental Protection, University of Lodz, Banacha 12/16, 90-237, Łódź, Poland
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Zakaria Z, Hassan L, Ahmad N, Husin SA, Ali RM, Sharif Z, Sohaimi NM, Garba B. Discerning the Antimicrobial Resistance, Virulence, and Phylogenetic Relatedness of Salmonella Isolates Across the Human, Poultry, and Food Materials Sources in Malaysia. Front Microbiol 2021; 12:652642. [PMID: 34531832 PMCID: PMC8438298 DOI: 10.3389/fmicb.2021.652642] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 08/09/2021] [Indexed: 12/15/2022] Open
Abstract
Salmonella enterica subspecies enterica serovar Enteritidis is one of the major foodborne zoonotic pathogens globally. It has significantly impacted human health and global trade. In this investigation, whole-genome sequencing was employed to determine the antimicrobial resistance (AMR) pattern of a collection of Salmonella Enteritidis isolated from humans, poultry, and food sources. The study also investigated the virulence genes profile of the isolates as well as the phylogenetic relationships among strains. Illumina NextSeq technology was used to sequence the genome of 82 Salmonella Enteritidis strains isolated over 3 years (2016-2018) in Peninsular Malaysia. The pattern of resistance showed that tetracycline had the highest frequency (37/82, 45.12%), and isolates from food samples showed the highest rate of 9/18 (50.00%), followed by human 17/35 (48.57%) and then poultry 11/29 (37.93%). The second drug with the highest resistance rate is ampicillin with 5/29 (17.24%) for poultry, 4/35 (11.43%) for human, and 0/18 (0.00%) for food isolates respectively. Similarly, a total of 19 antimicrobial resistance (AMR) genes corresponding to the nine drugs used in the disc diffusion assay were evaluated from the whole genome sequence data. The aminoglycoside resistance gene aac(6')-ly was detected in 79 of the 82 isolates (96.34%). While the phylogenetic analysis revealed distinct lineages isolated, the three sources indicating possible cross-contamination. In conclusion, the results showed that the genomic profile of Salmonella Enteritidis isolated from humans, poultry, and food samples share genetic traits, hence the need to institute measures at controlling the continuous spread of these resistant pathogens.
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Affiliation(s)
- Zunita Zakaria
- Institute of Bioscience, Universiti Putra Malaysia, Serdang, Malaysia.,Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Malaysia
| | - Latiffah Hassan
- Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Malaysia.,Department of Veterinary Laboratory Diagnostics, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Malaysia
| | - Norazah Ahmad
- Infectious Diseases Research Centre, Institute for Medical Research, National Institutes of Health, Selangor, Malaysia
| | - Suraya Amir Husin
- Medical Development Division, Ministry of Health, Putrajaya, Malaysia
| | - Rohaya Mohd Ali
- Diagnostic and Quality Assurance Division, Department of Veterinary Services, Ministry of Agriculture and Agro-Based Industry, Putrajaya, Malaysia
| | - Zawiyah Sharif
- Food Safety and Quality Division, Ministry of Health, Selangor, Malaysia
| | - Norfitriah Mohamed Sohaimi
- Department of Veterinary Laboratory Diagnostics, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Malaysia
| | - Bashiru Garba
- Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Malaysia.,Department of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, Usmanu Danfodiyo University, Sokoto, Nigeria
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34
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Yang SM, Kim E, Kim D, Baek J, Yoon H, Kim HY. Rapid Detection of Salmonella Enteritidis, Typhimurium, and Thompson by Specific Peak Analysis Using Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry. Foods 2021; 10:933. [PMID: 33922774 PMCID: PMC8146886 DOI: 10.3390/foods10050933] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 04/18/2021] [Accepted: 04/21/2021] [Indexed: 12/28/2022] Open
Abstract
Rapid detection of Salmonella serovars is important for the effective control and monitoring of food industries. In this study, we evaluate the application of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for the rapid detection of three serovars, Enteritidis, Typhimurium, and Thompson, that are epidemiologically important in Korea. All strains were identified at the genus level, with a mean score of 2.319 using the BioTyper database, and their protein patterns were confirmed to be similar by principal component analysis and main spectrum profile dendrograms. Specific peaks for the three serovars were identified by analyzing 65 reference strains representing 56 different serovars. Specific mass peaks at 3018 ± 1 and 6037 ± 1, 7184 ± 1, and 4925 ± 1 m/z were uniquely found in the reference strains of serovars Enteritidis, Typhimurium, and Thompson, respectively, and they showed that the three serovars can be differentiated from each other and 53 other serovars. We verified the reproducibility of these mass peaks in 132 isolates, and serovar classification was achieved with 100% accuracy when compared with conventional serotyping through antisera agglutination. Our method can rapidly detect a large number of strains; hence, it will be useful for the high-throughput screening of Salmonella serovars.
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Affiliation(s)
- Seung-Min Yang
- Institute of Life Sciences & Resources and Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Korea; (S.-M.Y.); (E.K.); (D.K.)
| | - Eiseul Kim
- Institute of Life Sciences & Resources and Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Korea; (S.-M.Y.); (E.K.); (D.K.)
| | - Dayoung Kim
- Institute of Life Sciences & Resources and Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Korea; (S.-M.Y.); (E.K.); (D.K.)
| | - Jiwon Baek
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (J.B.); (H.Y.)
| | - Hyunjin Yoon
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (J.B.); (H.Y.)
| | - Hae-Yeong Kim
- Institute of Life Sciences & Resources and Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Korea; (S.-M.Y.); (E.K.); (D.K.)
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35
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Xu F, Ge C, Li S, Tang S, Wu X, Luo H, Deng X, Zhang G, Stevenson A, Baker RC. Evaluation of nanopore sequencing technology to identify Salmonella enterica Choleraesuis var. Kunzendorf and Orion var. 15 +, 34 . Int J Food Microbiol 2021; 346:109167. [PMID: 33774575 DOI: 10.1016/j.ijfoodmicro.2021.109167] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 03/04/2021] [Accepted: 03/08/2021] [Indexed: 02/06/2023]
Abstract
Our previous study demonstrated that whole genome sequencing (WGS) data generated by Oxford Nanopore Technologies (ONT) can be used for rapid and accurate prediction of selected Salmonella serotypes. However, one limitation is that established methods for WGS-based serotype prediction, utilizing data from either ONT or Illumina, cannot differentiate certain serotypes and serotype variants with the same or closely related antigenic formulae. This study aimed to evaluate nanopore sequencing and additional data analysis for identification of Salmonella enterica Choleraesuis var. Kunzendorf and S. enterica Orion var. 15+, 34+, thus overcoming this limitation. Five workflows that combined different flow cells, library construction methods and basecaller models were evaluated and compared. The workflow that consisted of the R9 flow cell, rapid sequencing library construction kit and guppy basecaller with base modified model performed best for Single Nucleotide Polymorphism (SNP) analysis. With this workflow, 99.98% of matching identity between assembled genomes from ONT and that from Illumina was achieved. Less than five high-quality SNPs differed when comparing sequencing data between ONT and Illumina. SNP typing successfully identified Choleraesuis var. Kunzendorf. While prophage prediction further differentiated Orion var. 15+, 34+ from the other two Orion variants. Our study improves the readiness of ONT as a Salmonella subtyping and source tracking tool for food industry applications.
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Affiliation(s)
- Feng Xu
- Mars Global Food Safety Center, Beijing 101407, China.
| | - Chongtao Ge
- Mars Global Food Safety Center, Beijing 101407, China.
| | - Shaoting Li
- Center for Food Safety, University of Georgia, Griffin, GA 30223, USA
| | - Silin Tang
- Mars Global Food Safety Center, Beijing 101407, China
| | - Xingwen Wu
- Mars Global Food Safety Center, Beijing 101407, China
| | - Hao Luo
- Mars Global Food Safety Center, Beijing 101407, China
| | - Xiangyu Deng
- Center for Food Safety, University of Georgia, Griffin, GA 30223, USA
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36
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Wu X, Luo H, Xu F, Ge C, Li S, Deng X, Wiedmann M, Baker RC, Stevenson A, Zhang G, Tang S. Evaluation of Salmonella Serotype Prediction With Multiplex Nanopore Sequencing. Front Microbiol 2021; 12:637771. [PMID: 33776971 PMCID: PMC7987803 DOI: 10.3389/fmicb.2021.637771] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 02/08/2021] [Indexed: 12/13/2022] Open
Abstract
The use of whole genome sequencing (WGS) data generated by the long-read sequencing platform Oxford Nanopore Technologies (ONT) has been shown to provide reliable results for Salmonella serotype prediction in a previous study. To further meet the needs of industry for accurate, rapid, and cost-efficient Salmonella confirmation and serotype classification, we evaluated the serotype prediction accuracy of using WGS data from multiplex ONT sequencing with three, four, five, seven, or ten Salmonella isolates (each isolate represented one Salmonella serotype) pooled in one R9.4.1 flow cell. Each multiplexing strategy was repeated with five flow cells, and the loaded samples were sequenced simultaneously in a GridION sequencer for 48 h. In silico serotype prediction was performed using both SeqSero2 (for raw reads and genome assemblies) and SISTR (for genome assemblies) software suites. An average of 10.63 Gbp of clean sequencing data was obtained per flow cell. We found that the unevenness of data yield among each multiplexed isolate was a major barrier for shortening sequencing time. Using genome assemblies, both SeqSero2 and SISTR accurately predicted all the multiplexed isolates under each multiplexing strategy when depth of genome coverage ≥50× for each isolate. We identified that cross-sample barcode assignment was a major cause of prediction errors when raw sequencing data were used for prediction. This study also demonstrated that, (i) sequence data generated by ONT multiplex sequencing can be used to simultaneously predict serotype for three to ten Salmonella isolates, (ii) with three to ten Salmonella isolates multiplexed, genome coverage at ≥50× per isolate was obtained within an average of 6 h of ONT multiplex sequencing, and (iii) with five isolates multiplexed, the cost per isolate might be reduced to 23% of that incurred with single ONT sequencing. This study is a starting point for future validation of multiplex ONT WGS as a cost-efficient and rapid Salmonella confirmation and serotype classification tool for the food industry.
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Affiliation(s)
- Xingwen Wu
- Mars Global Food Safety Center, Beijing, China
| | - Hao Luo
- Mars Global Food Safety Center, Beijing, China
| | - Feng Xu
- Mars Global Food Safety Center, Beijing, China
| | - Chongtao Ge
- Mars Global Food Safety Center, Beijing, China
| | - Shaoting Li
- Center for Food Safety, University of Georgia, Griffin, GA, United States
| | - Xiangyu Deng
- Center for Food Safety, University of Georgia, Griffin, GA, United States
| | - Martin Wiedmann
- Department of Food Science, Cornell University, Ithaca, NY, United States
| | | | | | | | - Silin Tang
- Mars Global Food Safety Center, Beijing, China
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Barretto C, Rincón C, Portmann AC, Ngom-Bru C. Whole Genome Sequencing Applied to Pathogen Source Tracking in Food Industry: Key Considerations for Robust Bioinformatics Data Analysis and Reliable Results Interpretation. Genes (Basel) 2021; 12:275. [PMID: 33671973 PMCID: PMC7919020 DOI: 10.3390/genes12020275] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 01/28/2021] [Accepted: 02/08/2021] [Indexed: 12/31/2022] Open
Abstract
Whole genome sequencing (WGS) has arisen as a powerful tool to perform pathogen source tracking in the food industry thanks to several developments in recent years. However, the cost associated to this technology and the degree of expertise required to accurately process and understand the data has limited its adoption at a wider scale. Additionally, the time needed to obtain actionable information is often seen as an impairment for the application and use of the information generated via WGS. Ongoing work towards standardization of wet lab including sequencing protocols, following guidelines from the regulatory authorities and international standardization efforts make the technology more and more accessible. However, data analysis and results interpretation guidelines are still subject to initiatives coming from distinct groups and institutions. There are multiple bioinformatics software and pipelines developed to handle such information. Nevertheless, little consensus exists on a standard way to process the data and interpret the results. Here, we want to present the constraints we face in an industrial setting and the steps we consider necessary to obtain high quality data, reproducible results and a robust interpretation of the obtained information. All of this, in a time frame allowing for data-driven actions supporting factories and their needs.
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Affiliation(s)
- Caroline Barretto
- Institute of Food Safety and Analytical Sciences, Nestlé Research, 1000 Lausanne 26, Switzerland; (C.R.); (A.-C.P.); (C.N.-B.)
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Genotyping Study of Salmonella 4,[5],12:i:- Monophasic Variant of Serovar Typhimurium and Characterization of the Second-Phase Flagellar Deletion by Whole Genome Sequencing. Microorganisms 2020; 8:microorganisms8122049. [PMID: 33371352 PMCID: PMC7767384 DOI: 10.3390/microorganisms8122049] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 12/17/2020] [Accepted: 12/17/2020] [Indexed: 11/23/2022] Open
Abstract
After Salmonella Enteritidis and S. Typhimurium, S. 4,[5],12:i:- is the most reported serovar in human clinical cases. During the past 20 years, many tools have been used for its typing and second-phase flagellar deletion characterization. Currently, whole genome sequencing (WGS) and different bioinformatic programs have shown the potential to be more accurate than earlier tools. To assess this potential, we analyzed by WGS and in silico typing a selection of 42 isolates of S. 4,[5],12:i:- and S. Typhimurium with different in vitro characteristics. Comparative analysis showed that SeqSero2 does not differentiate fljB-positive S. 4,[5],12:i:- strains from those of serovar Typhimurium. Our results proved that the strains selected for this work were non-clonal S. 4,[5],12:i:- strains circulating in Spain. Using WGS data, we identified 13 different deletion types of the second-phase flagellar genomic region. Most of the deletions were generated by IS26 insertions, showing orientation-dependent conserved deletion ends. In addition, we detected S. 4,[5],12:i:- strains of the American clonal line that would give rise to the Southern European clone in Spain. Our results suggest that new S. 4,[5],12:i:- strains are continuously emerging from different S. Typhimurium strains via different genetic events, at least in swine products.
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Jibril AH, Okeke IN, Dalsgaard A, Kudirkiene E, Akinlabi OC, Bello MB, Olsen JE. Prevalence and risk factors of Salmonella in commercial poultry farms in Nigeria. PLoS One 2020; 15:e0238190. [PMID: 32966297 PMCID: PMC7510976 DOI: 10.1371/journal.pone.0238190] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Accepted: 08/11/2020] [Indexed: 12/22/2022] Open
Abstract
Salmonella is an important human pathogen and poultry products constitute an important source of human infections. This study investigated prevalence; identified serotypes based on whole genome sequence, described spatial distribution of Salmonella serotypes and predicted risk factors that could influence the prevalence of Salmonella infection in commercial poultry farms in Nigeria. A cross sectional approach was employed to collect 558 pooled shoe socks and dust samples from 165 commercial poultry farms in North West Nigeria. On-farm visitation questionnaires were administered to obtain information on farm management practices in order to assess risk factors for Salmonella prevalence. Salmonella was identified by culture, biotyping, serology and polymerase chain reaction (PCR). PCR confirmed isolates were paired-end Illumina- sequenced. Following de novo genome assembly, draft genomes were used to obtain serotypes by SeqSero2 and SISTR pipeline and sequence types by SISTR and Enterobase. Risk factor analysis was performed using the logit model. A farm prevalence of 47.9% (CI95 [40.3-55.5]) for Salmonella was observed, with a sample level prevalence of 15.9% (CI95 [12.9-18.9]). Twenty-three different serotypes were identified, with S. Kentucky and S. Isangi as the most prevalent (32.9% and 11%). Serotypes showed some geographic variation. Salmonella detection was strongly associated with disposal of poultry waste and with presence of other livestock on the farm. Salmonella was commonly detected on commercial poultry farms in North West Nigeria and S. Kentucky was found to be ubiquitous in the farms.
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Affiliation(s)
- Abdurrahman Hassan Jibril
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, Usmanu Danfodiyo University Sokoto, Sokoto, Nigeria
| | - Iruka N. Okeke
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria
| | - Anders Dalsgaard
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Egle Kudirkiene
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Olabisi Comfort Akinlabi
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria
| | - Muhammad Bashir Bello
- Department of Veterinary Microbiology, Faculty of Veterinary Medicine, Usmanu Danfodiyo University Sokoto, Sokoto, Nigeria
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University Sokoto, Sokoto, Nigeria
| | - John Elmerdahl Olsen
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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40
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Baugher JD. SeroTools: a Python package for Salmonella serotype data analysis. JOURNAL OF OPEN SOURCE SOFTWARE 2020; 5:2556. [PMID: 33817546 PMCID: PMC8017488 DOI: 10.21105/joss.02556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Affiliation(s)
- Joseph D Baugher
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration
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Mansour MN, Yaghi J, El Khoury A, Felten A, Mistou MY, Atoui A, Radomski N. Prediction of Salmonella serovars isolated from clinical and food matrices in Lebanon and genomic-based investigation focusing on Enteritidis serovar. Int J Food Microbiol 2020; 333:108831. [PMID: 32854018 DOI: 10.1016/j.ijfoodmicro.2020.108831] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 08/09/2020] [Accepted: 08/10/2020] [Indexed: 12/17/2022]
Abstract
Salmonella enterica subsp. enterica serovars are considered major causes of food poisoning and we performed this study because Salmonella is a burden in Lebanon. The present study investigated the ability of genomic information to predict serovar using a collection of Salmonella isolates from infected humans (n = 24) and contaminated food (n = 63) in Lebanon. Further, the phylogenomic relationships of the serovar the predominated in Lebanon (i.e., S. Enteritidis; n = 25) were investigated in comparison with isolates from other countries (n = 130) based on coregenome single nucleotide polymorphisms (SNPs). Genetic elements, specifically Salmonella pathogenicity islands (SPIs), plasmid replicons, and antibiotic-resistance genes were screened in S. Enteritidis genomes (n = 155). Our results revealed that the Salmonella serovars identification by seroagglutination from the samples isolated in Lebanon (n = 87) was highly correlated with the genomic-based prediction of serovars (80.4-85.0% with SeqSero1 and 93.1-94.2% with SeqSero2). The Salmonella serovars isolated from human and food samples in Lebanon were mainly Enteritidis (28.7%) and Infantis (26%). To a rare extent, other serovars included Amager, Anatum, Bredeney, Chincol, Heidelberg, Hofit, Kentucky, Montevideo, Muenster, Newport, Schwarzengrund, Senftenberg and Typhimurium. In comparison with other countries, S. Enteritidis samples isolated in Lebanon (56 ± 27 intra-group pairwise SNP differences) presented a strong phylogenomic relativeness at the coregenome level with samples, as for example with samples isolated from Syria (65 ± 31 inter-group pairwise SNP differences). Most of the studied S. Enteritidis genomes encoded 10 SPIs involved in survival in immune cells (i.e. SPIs 1, 2, 3, 4, 5, 12, 13, 14, 16 and 17). The plasmid replicons IncFIB (S)_1 and IncFII (S)_1 encoding elements involved in virulence were identified in the majority of the S. Enteritidis genomes (94% and 96%, respectively), the majority exhibiting aminoglycosides (gene aac(6')-Iaa_1). The IncI_1_Alpha replicon responsible for ampicillin-resistance was only detected in 2 of 25 S. Enteritidis Lebanese strains. Genomic-based risk assessment of Salmonella serovars in Lebanon showed that food imported from Syria might be an origin of the S. Enteritidis human cases in Lebanon. The detection of several SPIs involved in the survival, plasmid replicons involved in virulence, and aminoglycoside-resistance genes, emphasizes that S. Enteritidis is of paramount importance for public health in Lebanon and other countries.
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Affiliation(s)
- Marie Noel Mansour
- Centre d'Analyses et de Recherche (CAR), Unité de Recherche « Technologies et Valorisation Agro-alimentaire » (UR-TVA), Faculty of Sciences, Saint-Joseph University of Beirut, Campus of Sciences and Technologies, Mar Roukos, Lebanon.
| | - Joseph Yaghi
- Centre d'Analyses et de Recherche (CAR), Unité de Recherche « Technologies et Valorisation Agro-alimentaire » (UR-TVA), Faculty of Sciences, Saint-Joseph University of Beirut, Campus of Sciences and Technologies, Mar Roukos, Lebanon.
| | - André El Khoury
- Centre d'Analyses et de Recherche (CAR), Unité de Recherche « Technologies et Valorisation Agro-alimentaire » (UR-TVA), Faculty of Sciences, Saint-Joseph University of Beirut, Campus of Sciences and Technologies, Mar Roukos, Lebanon.
| | - Arnaud Felten
- Paris-Est University, French Agency for Food, Environmental and Occupational Health and Safety (Anses), Laboratory for Food Safety (LSAL), Maisons-Alfort, France.
| | - Michel-Yves Mistou
- Applied Mathematics and Computer Science, From Genomes to the Environment (MaIAGE), National Institute for Agricultural, Food and Environmental Research (INRAE), Université Paris-Saclay, Jouy-en-Josas, France.
| | - Ali Atoui
- Laboratory of Microbiology, Department of Life and Earth Sciences, Faculty of Sciences I, Lebanese University, Hadat Campus, Beirut, Lebanon.
| | - Nicolas Radomski
- Paris-Est University, French Agency for Food, Environmental and Occupational Health and Safety (Anses), Laboratory for Food Safety (LSAL), Maisons-Alfort, France.
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Monte DFM, Nethery MA, Barrangou R, Landgraf M, Fedorka-Cray PJ. Whole-genome sequencing analysis and CRISPR genotyping of rare antibiotic-resistant Salmonella enterica serovars isolated from food and related sources. Food Microbiol 2020; 93:103601. [PMID: 32912589 DOI: 10.1016/j.fm.2020.103601] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 07/17/2020] [Accepted: 07/21/2020] [Indexed: 11/25/2022]
Abstract
For decades, Salmonella Typhimurium and Salmonella Enteritidis have prevailed in several countries as agents of salmonellosis outbreaks. In Brazil, the largest exporter of poultry meat, relatively little attention has been paid to infrequent serovars. Here, we report the emergence and characterization of rare serovars isolated from food and related sources collected between 2014 and 2016 in Brazil. Twenty-two Salmonella enterica isolates were analyzed through the use of whole-genome sequencing (WGS) and clustered regularly interspaced short palindromic repeats (CRISPR) genotyping. These isolates were classified into 10 infrequent serovars, including S. Abony, S. Isangi, S. Rochdale, S. Saphra, S. Orion, S. Ouakam, S. Grumpensis, S. Carrau, S. Abaetetuba, and S. Idikan. The presence of six antimicrobial resistance (AMR) genes, qnrB19, blaCMY-2, tetA, aac(6')-Iaa, sul2 and fosA7, which encode resistance to quinolones, third-generation cephalosporin, tetracycline, aminoglycoside, sulfonamide and fosfomycin, respectively, were confirmed by WGS. All S. Isangi harbored qnrB19 with conserved genomic context across strains, while S. Abony harbored blaCMY-2. Twelve (54.5%) strains displayed chromosomal mutations in parC (Thr57→Ser). Most serovars were classified as independent lineages, except S. Abony and S. Abaetetuba, which phylogenetically nested with Salmonella strains from different countries. CRISPR analysis revealed that the spacer content was strongly correlated with serovar and multi-locus sequence type for all strains, independently confirming the observed phylogenetic patterns, and highlighting the value of CRISPR-based genotyping for Salmonella. These findings add valuable information to the epidemiology of S. enterica in Brazil, where the emergency of antibiotic-resistant Salmonella continues to evolve.
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Affiliation(s)
- Daniel F M Monte
- Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, Food Research Center, University of São Paulo, Brazil; Department of Population Health and Pathobiology, North Carolina State University, College of Veterinary Medicine, Raleigh, NC, USA.
| | - Matthew A Nethery
- Genomic Sciences Graduate Program, North Carolina State University, Raleigh, NC, USA; Department of Food, Bioprocessing & Nutrition Sciences, North Carolina State University, Raleigh, NC, USA
| | - Rodolphe Barrangou
- Genomic Sciences Graduate Program, North Carolina State University, Raleigh, NC, USA; Department of Food, Bioprocessing & Nutrition Sciences, North Carolina State University, Raleigh, NC, USA
| | - Mariza Landgraf
- Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, Food Research Center, University of São Paulo, Brazil
| | - Paula J Fedorka-Cray
- Department of Population Health and Pathobiology, North Carolina State University, College of Veterinary Medicine, Raleigh, NC, USA.
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Liu Y, Hayes MA. Differential Biophysical Behaviors of Closely Related Strains of Salmonella. Front Microbiol 2020; 11:302. [PMID: 32161579 PMCID: PMC7053435 DOI: 10.3389/fmicb.2020.00302] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Accepted: 02/11/2020] [Indexed: 12/29/2022] Open
Abstract
Salmonella is an important pathogen and is a world-wide threat to food safety and public health. Surveillance of serotypes and fundamental biological and biochemical studies are supported by a wide variety of established and emerging bioanalytical techniques. These include classic serotyping based on the Kauffmann–White nomenclature and the emerging whole genome sequencing strategy. Another emerging strategy is native whole cell biophysical characterization which has yet to be applied to Salmonella. However, this technique has been shown to provide high resolution differentiation of serotypes with several other paired strains of other microbes and pathogens. To demonstrate that biophysical characterization might be useful for Salmonella serotyping, the closely related strains sv. Cubana and sv. Poona were chosen for study. These two serovars were subjected to biophysical measurements on a dielectrophoresis-based microfluidic device that generated full differentiation of the unlabeled and native cells. They were differentiated by the ratio of electrophoretic (EP) to dielectrophoretic (DEP) mobilities. This differentiation factor is 2.7 ± 0.3 × 1010 V/m2 for sv. Cubana, versus 2.2 ± 0.3 × 1010 V/m2 for sv. Poona. This work shows for the first time the differentiation, concentration, and characterization of the Salmonella serotypes by exploiting their biophysical properties. It may lead to a less expensive and more decentralized new tool and method for microbiologists, complimenting and working in parallel with other characterization methods.
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Affiliation(s)
- Yameng Liu
- School of Molecular Sciences, Arizona State University, Tempe, AZ, United States
| | - Mark A Hayes
- School of Molecular Sciences, Arizona State University, Tempe, AZ, United States
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