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Strakova N, Michova H, Shagieva E, Ovesna P, Karpiskova R, Demnerova K. Genotyping of Campylobacter jejuni and prediction tools of its antimicrobial resistance. Folia Microbiol (Praha) 2024; 69:207-219. [PMID: 37816942 PMCID: PMC10876727 DOI: 10.1007/s12223-023-01093-5] [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: 03/24/2023] [Accepted: 09/09/2023] [Indexed: 10/12/2023]
Abstract
Although Campylobacter jejuni is the pathogen responsible for the most common foodborne illness, tracing of the infection source remains challenging due to its highly variable genome. Therefore, one of the aim of the study was to compare three genotyping methods (MLST, PFGE, and mP-BIT) to determine the most effective genotyping tool. C. jejuni strains were divided into 4 clusters based on strain similarity in the cgMLST dendrogram. Subsequently, the dendrograms of the 3 tested methods were compared to determine the accuracy of each method compared to the reference cgMLST method. Moreover, a cost-benefit analysis has showed that MLST had the highest inverse discrimination index (97%) and required less workflow, time, fewer consumables, and low bacterial sample quantity. PFGE was shown to be obsolete both because of its low discriminatory power and the complexity of the procedure. Similarly, mP‑BIT showed low separation results, which was compensated by its high availability. Therefore, our data showed that MLST is the optimal tool for genotyping C. jejuni. Another aim was to compare the antimicrobial resistance to ciprofloxacin, erythromycin, and tetracycline in C. jejuni strains isolated from human, water, air, food, and animal samples by two gene sequence-based prediction methods and to compare them with the actual susceptibility of C. jejuni strains using the disc diffusion method. Both tools, ResFinder and RGI, synchronously predict the antimicrobial susceptibility of C. jejuni and either can be used.
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Affiliation(s)
- Nicol Strakova
- Veterinary Research Institute, Hudcova 296/70, Brno, Czech Republic.
| | - Hana Michova
- Laboratory of Food Microbiology, Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic
| | - Ekaterina Shagieva
- Laboratory of Food Microbiology, Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic
| | - Petra Ovesna
- Institute of Biostatistics and Analyses, Masaryk University, Brno, Czech Republic
| | - Renata Karpiskova
- Department of Public Health, Medical Faculty, Masaryk University, Brno, Czech Republic
| | - Katerina Demnerova
- Laboratory of Food Microbiology, Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic
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Denis M, Rose V, Nagard B, Thépault A, Lucas P, Meunier M, Benoit F, Wilhem A, Gassilloud B, Cauvin E, Rincé A, Gourmelon M. Comparative Analysis of Campylobacter jejuni and C. coli Isolated from Livestock Animals to C. jejuni and C. coli Isolated from Surface Water Using DNA Sequencing and MALDI-TOF. Pathogens 2023; 12:1069. [PMID: 37764877 PMCID: PMC10535298 DOI: 10.3390/pathogens12091069] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/01/2023] [Accepted: 08/03/2023] [Indexed: 09/29/2023] Open
Abstract
This study evaluated the contribution of cattle, sheep, poultry and pigs to the contamination of surface water from rivers by Campylobacter jejuni and C. coli using MLST, cgMLST and considered MALDI-TOF MS as an alternative technique. The 263 strains isolated from cattle (n = 61), sheep (n = 42), poultry (n = 65), pigs (n = 60) and surface water (n = 35) were distributed across 115 sequence types (STs), 49 for C. jejuni and 66 for C. coli. Considering MLST data, 14.2%, 11.4% and 2.8% of the surface water strains could be attributed to cattle, poultry and sheep, respectively, none to pigs, and 85.7% were non-attributed. Analysis of cg-MLST data with STRUCTURE indicated that C. jejuni strains from water were predominantly attributed to poultry (93.5%), weakly to sheep (<1%) and 6.3% non-attributed, and that conversely, C. coli strains from water were predominantly non-attributed (94.3%) and 5.7% attributed to poultry. Considering the protein profiles with a threshold of 94% and 97% of similarity, respectively, strains from surface water could be attributed to poultry (31.4% and 17.1%), and to cattle (17.1% and 5.7%); 54.1% and 77.1% were non-attributed. This study confirmed these livestock animals might contribute to the contamination of surface water, with a level of contribution depending on the typing technique and the method of analysis. MALDI-TOF could potentially be an alternative approach for source attribution.
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Affiliation(s)
- Martine Denis
- Ploufragan-Plouzané-Niort Laboratory, Hygiene and Quality of Poultry and Pork Products Unit, ANSES (French Agency For Food, Environmental and Occupational Health and Safety), 22440 Ploufragan, France; (V.R.); (B.N.); (A.T.)
| | - Valérie Rose
- Ploufragan-Plouzané-Niort Laboratory, Hygiene and Quality of Poultry and Pork Products Unit, ANSES (French Agency For Food, Environmental and Occupational Health and Safety), 22440 Ploufragan, France; (V.R.); (B.N.); (A.T.)
| | - Bérengère Nagard
- Ploufragan-Plouzané-Niort Laboratory, Hygiene and Quality of Poultry and Pork Products Unit, ANSES (French Agency For Food, Environmental and Occupational Health and Safety), 22440 Ploufragan, France; (V.R.); (B.N.); (A.T.)
| | - Amandine Thépault
- Ploufragan-Plouzané-Niort Laboratory, Hygiene and Quality of Poultry and Pork Products Unit, ANSES (French Agency For Food, Environmental and Occupational Health and Safety), 22440 Ploufragan, France; (V.R.); (B.N.); (A.T.)
| | - Pierrick Lucas
- Ploufragan-Plouzané-Niort Laboratory, Viral Genetics and Biosafety Unit, ANSES, 22440 Ploufragan, France;
| | - Meagan Meunier
- Caen-Saint-Lô Laboratory, Research Department, LABEO, 50000 Saint-Lô, France; (M.M.); (F.B.); (E.C.)
| | - Fabienne Benoit
- Caen-Saint-Lô Laboratory, Research Department, LABEO, 50000 Saint-Lô, France; (M.M.); (F.B.); (E.C.)
| | - Amandine Wilhem
- Nancy Laboratory, ANSES, PTF Maldi, 54000 Nancy, France; (A.W.); (B.G.)
| | - Benoit Gassilloud
- Nancy Laboratory, ANSES, PTF Maldi, 54000 Nancy, France; (A.W.); (B.G.)
| | - Elodie Cauvin
- Caen-Saint-Lô Laboratory, Research Department, LABEO, 50000 Saint-Lô, France; (M.M.); (F.B.); (E.C.)
| | - Alain Rincé
- Bacterial Communication and Anti-Infectious Strategies Reseach Unit, UNICAEN (Caen Normandie University), UR4312 CBSA, 14000 Caen, France;
| | - Michèle Gourmelon
- ODE-DYNECO-PELAGOS (Department of Oceanography and Ecosystem Dynamics, Coastal Environment Dynamics and Pelagic Ecology Research Unit), IFREMER (French Research Institute for Exploitation of the Sea), 29280 Plouzané, France;
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Joseph LA, Griswold T, Vidyaprakash E, Im SB, Williams GM, Pouseele HA, Hise KB, Carleton HA. Evaluation of core genome and whole genome multilocus sequence typing schemes for Campylobacter jejuni and Campylobacter coli outbreak detection in the USA. Microb Genom 2023; 9. [PMID: 37133905 DOI: 10.1099/mgen.0.001012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
Campylobacter is a leading causing of bacterial foodborne and zoonotic illnesses in the USA. Pulsed-field gene electrophoresis (PFGE) and 7-gene multilocus sequence typing (MLST) have been historically used to differentiate sporadic from outbreak Campylobacter isolates. Whole genome sequencing (WGS) has been shown to provide superior resolution and concordance with epidemiological data when compared with PFGE and 7-gene MLST during outbreak investigations. In this study, we evaluated epidemiological concordance for high-quality SNP (hqSNP), core genome (cg)MLST and whole genome (wg)MLST to cluster or differentiate outbreak-associated and sporadic Campylobacter jejuni and Campylobacter coli isolates. Phylogenetic hqSNP, cgMLST and wgMLST analyses were also compared using Baker's gamma index (BGI) and cophenetic correlation coefficients. Pairwise distances comparing all three analysis methods were compared using linear regression models. Our results showed that 68/73 sporadic C. jejuni and C. coli isolates were differentiated from outbreak-associated isolates using all three methods. There was a high correlation between cgMLST and wgMLST analyses of the isolates; the BGI, cophenetic correlation coefficient, linear regression model R 2 and Pearson correlation coefficients were >0.90. The correlation was sometimes lower comparing hqSNP analysis to the MLST-based methods; the linear regression model R 2 and Pearson correlation coefficients were between 0.60 and 0.86, and the BGI and cophenetic correlation coefficient were between 0.63 and 0.86 for some outbreak isolates. We demonstrated that C. jejuni and C. coli isolates clustered in concordance with epidemiological data using WGS-based analysis methods. Discrepancies between allele and SNP-based approaches may reflect the differences between how genomic variation (SNPs and indels) are captured between the two methods. Since cgMLST examines allele differences in genes that are common in most isolates being compared, it is well suited to surveillance: searching large genomic databases for similar isolates is easily and efficiently done using allelic profiles. On the other hand, use of an hqSNP approach is much more computer intensive and not scalable to large sets of genomes. If further resolution between potential outbreak isolates is needed, wgMLST or hqSNP analysis can be used.
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Affiliation(s)
- Lavin A Joseph
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Taylor Griswold
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Eshaw Vidyaprakash
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sung B Im
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Grant M Williams
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Kelley B Hise
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Heather A Carleton
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
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Herold M, Hock L, Penny C, Walczak C, Djabi F, Cauchie HM, Ragimbeau C. Metagenomic Strain-Typing Combined with Isolate Sequencing Provides Increased Resolution of the Genetic Diversity of Campylobacter jejuni Carriage in Wild Birds. Microorganisms 2023; 11:microorganisms11010121. [PMID: 36677413 PMCID: PMC9860660 DOI: 10.3390/microorganisms11010121] [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: 11/30/2022] [Revised: 12/28/2022] [Accepted: 12/29/2022] [Indexed: 01/05/2023] Open
Abstract
As the world's leading cause of human gastro-enteritis, the food- and waterborne pathogen Campylobacter needs to be intensively monitored through a One Health approach. Particularly, wild birds have been hypothesized to contribute to the spread of human clinical recurring C. jejuni genotypes across several countries. A major concern in studying epidemiological dynamics is resolving the large genomic diversity of strains circulating in the environment and various reservoirs, challenging to achieve with isolation techniques. Here, we applied a passive-filtration method to obtain isolates and in parallel recovered genotypes from metagenomic sequencing data from associated filter sweeps. For genotyping mixed strains, a reference-based computational workflow to predict allelic profiles of nine extended-MLST loci was utilized. We validated the pipeline by sequencing artificial mixtures of C. jejuni strains and observed the highest prediction accuracy when including obtained isolates as references. By analyzing metagenomic samples, we were able to detect over 20% additional genetic diversity and observed an over 50% increase in the potential to connect genotypes across wild-bird samples. With an optimized filtration method and a computational approach for genotyping strain mixtures, we provide the foundation for future studies assessing C. jejuni diversity in environmental and clinical settings at improved throughput and resolution.
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Affiliation(s)
- Malte Herold
- Environmental Research and Innovation (ERIN) Department, Luxembourg Institute of Science and Technology (LIST), 41 rue du Brill, L-4422 Belvaux, Luxembourg
- Epidemiology and Microbial Genomics, Laboratoire National de Santé (LNS), 1 rue Louis Rech, L-3555 Dudelange, Luxembourg
- Correspondence:
| | - Louise Hock
- Environmental Research and Innovation (ERIN) Department, Luxembourg Institute of Science and Technology (LIST), 41 rue du Brill, L-4422 Belvaux, Luxembourg
| | - Christian Penny
- Environmental Research and Innovation (ERIN) Department, Luxembourg Institute of Science and Technology (LIST), 41 rue du Brill, L-4422 Belvaux, Luxembourg
| | - Cécile Walczak
- Environmental Research and Innovation (ERIN) Department, Luxembourg Institute of Science and Technology (LIST), 41 rue du Brill, L-4422 Belvaux, Luxembourg
| | - Fatu Djabi
- Epidemiology and Microbial Genomics, Laboratoire National de Santé (LNS), 1 rue Louis Rech, L-3555 Dudelange, Luxembourg
| | - Henry-Michel Cauchie
- Environmental Research and Innovation (ERIN) Department, Luxembourg Institute of Science and Technology (LIST), 41 rue du Brill, L-4422 Belvaux, Luxembourg
| | - Catherine Ragimbeau
- Epidemiology and Microbial Genomics, Laboratoire National de Santé (LNS), 1 rue Louis Rech, L-3555 Dudelange, Luxembourg
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Djeghout B, Bloomfield SJ, Rudder S, Elumogo N, Mather AE, Wain J, Janecko N. Comparative genomics of Campylobacter jejuni from clinical campylobacteriosis stool specimens. Gut Pathog 2022; 14:45. [PMID: 36476389 PMCID: PMC9727990 DOI: 10.1186/s13099-022-00520-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 11/22/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Campylobacter jejuni is a pervasive pathogen of major public health concern with a complex ecology requiring accurate and informative approaches to define pathogen diversity during outbreak investigations. Source attribution analysis may be confounded if the genetic diversity of a C. jejuni population is not adequately captured in a single specimen. The aim of this study was to determine the genomic diversity of C. jejuni within individual stool specimens from four campylobacteriosis patients. Direct plating and pre-culture filtration of one stool specimen per patient was used to culture multiple isolates per stool specimen. Whole genome sequencing and pangenome level analysis were used to investigate genomic diversity of C. jejuni within a patient. RESULTS A total 92 C. jejuni isolates were recovered from four patients presenting with gastroenteritis. The number of isolates ranged from 13 to 30 per patient stool. Three patients yielded a single C. jejuni multilocus sequence type: ST-21 (n = 26, patient 4), ST-61 (n = 30, patient 1) and ST-2066 (n = 23, patient 2). Patient 3 was infected with two different sequence types [ST-51 (n = 12) and ST-354 (n = 1)]. Isolates belonging to the same sequence type from the same patient specimen shared 12-43 core non-recombinant SNPs and 0-20 frameshifts with each other, and the pangenomes of each sequence type consisted of 1406-1491 core genes and 231-264 accessory genes. However, neither the mutation nor the accessory genes were connected to a specific functional gene category. CONCLUSIONS Our findings show that the C. jejuni population recovered from an individual patient's stool are genetically diverse even within the same ST and may have shared common ancestors before specimens were obtained. The population is unlikely to have evolved from a single isolate at the time point of initial patient infection, leading us to conclude that patients were likely infected with a heterogeneous C. jejuni population. The diversity of the C. jejuni population found within individual stool specimens can inform future methodological approaches to attribution and outbreak investigations.
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Affiliation(s)
- Bilal Djeghout
- grid.40368.390000 0000 9347 0159Quadram Institute Bioscience, Rosalind Franklin Rd, Norwich Research Park, Norwich, NR4 7UQ UK
| | - Samuel J. Bloomfield
- grid.40368.390000 0000 9347 0159Quadram Institute Bioscience, Rosalind Franklin Rd, Norwich Research Park, Norwich, NR4 7UQ UK
| | - Steven Rudder
- grid.40368.390000 0000 9347 0159Quadram Institute Bioscience, Rosalind Franklin Rd, Norwich Research Park, Norwich, NR4 7UQ UK
| | - Ngozi Elumogo
- grid.40368.390000 0000 9347 0159Quadram Institute Bioscience, Rosalind Franklin Rd, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.416391.80000 0004 0400 0120Eastern Pathology Alliance, Norfolk and Norwich University Hospital, Norwich, NR4 7UY UK
| | - Alison E. Mather
- grid.40368.390000 0000 9347 0159Quadram Institute Bioscience, Rosalind Franklin Rd, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.8273.e0000 0001 1092 7967Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, NR4 7TJ UK
| | - John Wain
- grid.40368.390000 0000 9347 0159Quadram Institute Bioscience, Rosalind Franklin Rd, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.8273.e0000 0001 1092 7967Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, NR4 7TJ UK
| | - Nicol Janecko
- grid.40368.390000 0000 9347 0159Quadram Institute Bioscience, Rosalind Franklin Rd, Norwich Research Park, Norwich, NR4 7UQ UK
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dessouky YE, Elsayed SW, Abdelsalam NA, Saif NA, Álvarez-Ordóñez A, Elhadidy M. Genomic insights into zoonotic transmission and antimicrobial resistance in Campylobacter jejuni from farm to fork: a one health perspective. Gut Pathog 2022; 14:44. [PMID: 36471447 PMCID: PMC9721040 DOI: 10.1186/s13099-022-00517-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 11/08/2022] [Indexed: 12/09/2022] Open
Abstract
BACKGROUND Campylobacteriosis represents a global public health threat with various socio-economic impacts. Among different Campylobacter species, Campylobacter jejuni (C. jejuni) is considered to be the foremost Campylobacter species responsible for most of gastrointestinal-related infections. Although these species are reported to primarily inhabit birds, its high genetic and phenotypic diversity allowed their adaptation to other animal reservoirs and to the environment that may impact on human infection. MAIN BODY A stringent and consistent surveillance program based on high resolution subtyping is crucial. Recently, different epidemiological investigations have implemented high-throughput sequencing technologies and analytical pipelines for higher resolution subtyping, accurate source attribution, and detection of antimicrobial resistance determinants among these species. In this review, we aim to present a comprehensive overview on the epidemiology, clinical presentation, antibiotic resistance, and transmission dynamics of Campylobacter, with specific focus on C. jejuni. This review also summarizes recent attempts of applying whole-genome sequencing (WGS) coupled with bioinformatic algorithms to identify and provide deeper insights into evolutionary and epidemiological dynamics of C. jejuni precisely along the farm-to-fork continuum. CONCLUSION WGS is a valuable addition to traditional surveillance methods for Campylobacter. It enables accurate typing of this pathogen and allows tracking of its transmission sources. It is also advantageous for in silico characterization of antibiotic resistance and virulence determinants, and hence implementation of control measures for containment of infection.
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Affiliation(s)
- Yara El dessouky
- grid.440881.10000 0004 0576 5483Biomedical Sciences Program, University of Science and Technology, Zewail City of Science and Technology, Giza, Egypt ,grid.440881.10000 0004 0576 5483Center for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt
| | - Salma W. Elsayed
- grid.440881.10000 0004 0576 5483Biomedical Sciences Program, University of Science and Technology, Zewail City of Science and Technology, Giza, Egypt ,grid.440881.10000 0004 0576 5483Center for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt ,grid.7269.a0000 0004 0621 1570Department of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
| | - Nehal Adel Abdelsalam
- grid.440881.10000 0004 0576 5483Biomedical Sciences Program, University of Science and Technology, Zewail City of Science and Technology, Giza, Egypt ,grid.440881.10000 0004 0576 5483Center for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt ,grid.7776.10000 0004 0639 9286Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Cairo, Egypt
| | - Nehal A. Saif
- grid.440881.10000 0004 0576 5483Biomedical Sciences Program, University of Science and Technology, Zewail City of Science and Technology, Giza, Egypt ,grid.440881.10000 0004 0576 5483Center for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt
| | - Avelino Álvarez-Ordóñez
- grid.4807.b0000 0001 2187 3167Department of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, León, Spain
| | - Mohamed Elhadidy
- grid.440881.10000 0004 0576 5483Biomedical Sciences Program, University of Science and Technology, Zewail City of Science and Technology, Giza, Egypt ,grid.440881.10000 0004 0576 5483Center for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt ,grid.10251.370000000103426662Department of Bacteriology, Mycology and Immunology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, Egypt
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Nennig M, Clément A, Longueval E, Bernardi T, Ragimbeau C, Tresse O. Metaphenotypes associated with recurrent genomic lineages of Campylobacter jejuni responsible for human infections in Luxembourg. Front Microbiol 2022; 13:901192. [PMID: 36160185 PMCID: PMC9490421 DOI: 10.3389/fmicb.2022.901192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Campylobacter jejuni is a leading cause of foodborne illnesses worldwide. Although considered fragile, this microaerophilic bacterium is able to survive in various challenging environments, which subsequently constitutes multiple sources of transmission for human infection. To test the assumption of acquiring specific features for adaptation and survival, we established a workflow of phenotypic tests related to the survival and the persistence of recurrent and sporadic strains. A representative collection of 83 strains isolated over 13 years from human, mammal, poultry, and environmental sources in Luxembourg, representing different spreading patterns (endemic, epidemic, and sporadic), was screened for survival to oxidative stresses, for acclimating to aerobic conditions (AC), and for persistence on abiotic surfaces. Using the cgMLST Oxford typing scheme for WGS data, the collection was classified into genomic lineages corresponding to host-generalist strains (lineages A and D, CC ST-21), host-specific strains (lineage B, CC ST-257 and lineage C, CC ST-464) and sporadic strains. We established that when a strain survives concentrations beyond 0.25 mM superoxide stress, it is six times more likely to survive hyperoxide stress and that a highly adherent strain is 14 times more likely to develop a biofilm. Surprisingly, more than half of the strains could acclimate to AC but this capacity does not explain the difference between recurrent genomic lineages and sporadic strains and the survival to oxidative stresses, while recurrent strains have a significantly higher adhesion/biofilm formation capacity than sporadic ones. From this work, the genomic lineages with more stable genomes could be characterized by a specific combination of phenotypes, called metaphenotypes. From the functional genomic analyses, the presence of a potentially functional T6SS in the strains of lineage D might explain the propensity of these strains to be strong biofilm producers. Our findings support the hypothesis that phenotypical abilities contribute to the spatio-temporal adaptation and survival of stable genomic lineages. It suggests a selection of better-adapted and persistent strains in challenging stress environments, which could explain the prevalence of these lineages in human infections.
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Affiliation(s)
- Morgane Nennig
- Epidemiology and Microbial Genomics, Laboratoire National de Santé, Dudelange, Luxembourg
- UMR-1280 PhAN, INRAE, Nantes, France
| | - Arnaud Clément
- BioFilm Control, Biopôle Clermont-Limagne, Saint-Beauzire, France
| | - Emmanuelle Longueval
- Epidemiology and Microbial Genomics, Laboratoire National de Santé, Dudelange, Luxembourg
| | - Thierry Bernardi
- BioFilm Control, Biopôle Clermont-Limagne, Saint-Beauzire, France
| | - Catherine Ragimbeau
- Epidemiology and Microbial Genomics, Laboratoire National de Santé, Dudelange, Luxembourg
- *Correspondence: Catherine Ragimbeau,
| | - Odile Tresse
- UMR-1280 PhAN, INRAE, Nantes, France
- Odile Tresse,
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Differences in Genotype and Antimicrobial Resistance between Campylobacter spp. Isolated from Organic and Conventionally Produced Chickens in Sweden. Pathogens 2021; 10:pathogens10121630. [PMID: 34959585 PMCID: PMC8705472 DOI: 10.3390/pathogens10121630] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/01/2021] [Accepted: 12/13/2021] [Indexed: 11/17/2022] Open
Abstract
Antibiotic resistance is a major challenge worldwide and increased resistance to quinolones in Campylobacter is being reported. Analysis of antibiotic resistance was performed on 157 Campylobacter strains (123 C. jejuni and 34 C. coli) from conventional and organic chickens produced in Sweden. Susceptibility for tetracycline, ciprofloxacin, erythromycin, nalidixic acid, streptomycin, and gentamycin was determined by microdilution. All 77 isolates from organic chickens were sensitive to all antibiotics, except two C. jejuni that were resistant to tetracycline. Of the 80 isolates from conventional chickens, 22.5% of C. jejuni and 11.1% of C. coli were resistant to quinolones and 5.6% of C. jejuni were resistant to tetracycline. Whole-genome sequencing resulted in 50 different sequence types of C. jejuni and six of C. coli. Nine sequence types were found in both organic and conventional chickens. Two of these (ST-19 and ST-257) included isolates from conventional broilers with different resistance phenotypes to the remaining isolates from conventional and organic broilers. There are management differences between the production systems, such as feed, breed, use of coccidiostats, and access to outdoor area. It is unlikely that quinolone resistance has arisen due to use of antimicrobials, since fluoroquinolones are not permitted in Swedish broiler production.
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Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of Campylobacter jejuni and Comparison with MLST and cgMLST: A Luxembourg One-Health Study. Diagnostics (Basel) 2021; 11:diagnostics11111949. [PMID: 34829296 PMCID: PMC8621691 DOI: 10.3390/diagnostics11111949] [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: 09/07/2021] [Revised: 10/15/2021] [Accepted: 10/17/2021] [Indexed: 11/17/2022] Open
Abstract
There is a need for active molecular surveillance of human and veterinary Campylobacter infections. However, sequencing of all isolates is associated with high costs and a considerable workload. Thus, there is a need for a straightforward complementary tool to prioritize isolates to sequence. In this study, we proposed to investigate the ability of MALDI-TOF MS to pre-screen C. jejuni genetic diversity in comparison to MLST and cgMLST. A panel of 126 isolates, with 10 clonal complexes (CC), 21 sequence types (ST) and 42 different complex types (CT) determined by the SeqSphere+ cgMLST, were analysed by a MALDI Biotyper, resulting into one average spectra per isolate. Concordance and discriminating ability were evaluated based on protein profiles and different cut-offs. A random forest algorithm was trained to predict STs. With a 94% similarity cut-off, an AWC of 1.000, 0.933 and 0.851 was obtained for MLSTCC, MLSTST and cgMLST profile, respectively. The random forest classifier showed a sensitivity and specificity up to 97.5% to predict four different STs. Protein profiles allowed to predict C. jejuni CCs, STs and CTs at 100%, 93% and 85%, respectively. Machine learning and MALDI-TOF MS could be a fast and inexpensive complementary tool to give an early signal of recurrent C. jejuni on a routine basis.
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Cao H, Xu H, Ning C, Xiang L, Ren Q, Zhang T, Zhang Y, Gao R. Multi-Omics Approach Reveals the Potential Core Vaccine Targets for the Emerging Foodborne Pathogen Campylobacter jejuni. Front Microbiol 2021; 12:665858. [PMID: 34248875 PMCID: PMC8265506 DOI: 10.3389/fmicb.2021.665858] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 04/06/2021] [Indexed: 11/30/2022] Open
Abstract
Campylobacter jejuni is a leading cause of bacterial gastroenteritis in humans around the world. The emergence of bacterial resistance is becoming more serious; therefore, development of new vaccines is considered to be an alternative strategy against drug-resistant pathogen. In this study, we investigated the pangenome of 173 C. jejuni strains and analyzed the phylogenesis and the virulence factor genes. In order to acquire a high-quality pangenome, genomic relatedness was firstly performed with average nucleotide identity (ANI) analyses, and an open pangenome of 8,041 gene families was obtained with the correct taxonomy genomes. Subsequently, the virulence property of the core genome was analyzed and 145 core virulence factor (VF) genes were obtained. Upon functional genomics and immunological analyses, five core VF proteins with high antigenicity were selected as potential core vaccine targets for humans. Furthermore, functional annotations indicated that these proteins are involved in important molecular functions and biological processes, such as adhesion, regulation, and secretion. In addition, transcriptome analysis in human cells and pig intestinal loop proved that these vaccine target genes are important in the virulence of C. jejuni in different hosts. Comprehensive pangenome and relevant animal experiments will facilitate discovering the potential core vaccine targets with improved efficiency in reverse vaccinology. Likewise, this study provided some insights into the genetic polymorphism and phylogeny of C. jejuni and discovered potential vaccine candidates for humans. Prospective development of new vaccines using the targets will be an alternative to the use of antibiotics and prevent the development of multidrug-resistant C. jejuni in humans and even other animals.
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Affiliation(s)
- Hengchun Cao
- School of Mathematics and Statistics, Shandong University, Weihai, China
| | - Hanxiao Xu
- School of Mathematics and Statistics, Shandong University, Weihai, China
| | - Chunhui Ning
- School of Mathematics and Statistics, Shandong University, Weihai, China
| | - Li Xiang
- School of Mathematics and Statistics, Shandong University, Weihai, China
| | - Qiufang Ren
- School of Mathematics and Statistics, Shandong University, Weihai, China
| | - Tiantian Zhang
- School of Mathematics and Statistics, Shandong University, Weihai, China
| | - Yusen Zhang
- School of Mathematics and Statistics, Shandong University, Weihai, China
| | - Rui Gao
- School of Control Science and Engineering, Shandong University, Jinan, China
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