Confirmation of a Campylobacteriosis Outbreak Associated with Chicken Liver Pâté Using PFGE and WGS

Lahti, Elina; Löfdahl, Margareta; Ågren, Joakim; Hansson, Ingrid; Engvall, Eva

doi:10.1111/zph.12272

Cited by 41 publications

(34 citation statements)

References 34 publications

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“…In all of those studies, epidemiologically linked strains were clearly separated from nonrelated control strains. Due to variations in the numbers of genes analyzed and the overall genetic diversity of the studied strains, the allelic differences between control strains and outbreak-associated strains varied between 10 to 15, as observed in the Australian and the Canadian studies (18,19), and 454, as described in the Finnish milk outbreak (15). In real-life settings, however, the possibility that the variation observed among isolates within an outbreak might represent the genomic variation present in the initial inoculum, due to mixed-strain coinfection, cannot be excluded.…”

Section: Application Of Wgs Of C Jejuni In Point-source Outbreak Invmentioning

confidence: 99%

“…Zhang et al identified up to seven allele differences between clonal isolates collected from three waterborne outbreaks, using a reference-based gene-by-gene approach (defined as ad hoc analysis) with the program Genome Profiler (https:// sourceforge.net/projects/genomeprofiler) (17). Lahti and colleagues, investigating an Australian outbreak associated with chicken paté by using a reference-based coregenome MLST analysis implemented in SeqSphereϩ (Ridom GmbH), with a total of 1,271 shared loci, described a maximum of 1 allele difference between the clinical isolates (18). Furthermore, four isolates associated with the Walkerton outbreak in Canada differed from one another by a total of 15 SNVs, corresponding to an average of ϳ4 allele differences, using a 732-core-gene schema (19).…”

Section: Application Of Wgs Of C Jejuni In Point-source Outbreak Invmentioning

confidence: 99%

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Whole-Genome Sequencing in Epidemiology of Campylobacter jejuni Infections

2017

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This review describes the current state of knowledge regarding the application of whole-genome sequencing (WGS) in the epidemiology of Campylobacter jejuni, the leading cause of bacterial gastroenteritis worldwide. We describe how WGS has increased our understanding of the evolutionary and epidemiological dynamics of this pathogen and how WGS has the potential to improve surveillance and outbreak detection. We have identified hurdles to the full implementation of WGS in public health settings. Despite these challenges, we think that ample evidence is available to support the benefits of integrating WGS into the routine monitoring of C. jejuni infections and outbreak investigations.KEYWORDS foodborne pathogens, genome analysis, molecular subtyping, surveillance studies T he ability to conduct epidemiological investigations and to intervene to control and to prevent foodborne and environmentally transmitted diseases is a major task of public health authorities. The identification, over a short period of time, of a sudden increase in the number of expected cases of a disease in a population in a limited geographical area (point-source outbreak) or clusters of cases with a presumptive common source not necessarily clustered geographically (diffuse outbreak) depends on knowledge of the baseline infectious state of the population regarding that disease, which is usually acquired through surveillance. In this regard, identifying epidemiologically linked cases and differentiating them from concurrent sporadic incidences are essential for risk assessment, outbreak investigations, and source attribution for foodborne pathogens. These processes have relied increasingly on traditional epidemiological investigations supplemented with molecular subtyping of the etiological agent, and no method offers a higher degree of resolution than whole-genome sequencing (WGS). The recent development of high-throughput sequencing technologies for WGS (i.e., next-generation sequencing [NGS]) has resulted in large-scale sequencing of various pathogens. Allowing the detection of all possible epidemiologically significant variations between strains (1), WGS is progressively replacing traditional typing methods (serotyping, phenotyping, pulsed-field gel electrophoresis [PFGE], and amplified fragment length polymorphism [AFLP] analysis) and sequence-based investigations (PCR-based methods). Moreover, the declining costs of NGS and the availability of benchtop analyzers are increasingly facilitating the application of WGS for routine surveillance and outbreak investigations of bacterial and viral infectious diseases by public health authorities (2). As a result, WGS analysis is currently being used in several countries for real-time surveillance of Listeria monocytogenes and Salmonella enterica (http://www.fda.gov/Food/FoodScience Research/WholeGenomeSequencingProgramWGS) (3), and similar approaches for other foodborne pathogens are expected to come into use shortly. Campylobacter jejuni is one of the most frequent causes of bacterial g...

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Section: Application Of Wgs Of C Jejuni In Point-source Outbreak Invmentioning

confidence: 99%

Section: Application Of Wgs Of C Jejuni In Point-source Outbreak Invmentioning

confidence: 99%

Whole-Genome Sequencing in Epidemiology of Campylobacter jejuni Infections

2017

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“…The data provided here can aid in future efforts to identify the sources of infections, since the genome sequence-based framework has potential advantages for epidemiological studies of Campylobacter infections (7). With the increased application of whole-genome sequencing technologies to epidemiological studies of Campylobacter outbreaks (i.e., source tracking) (8, 9), further accumulation of genomic data of Campylobacter spp. associated with foodborne outbreaks will contribute to improving our understanding of host and geographic adaptation of this pathogen and lead to the development of preventive strategies.…”

Section: Genome Announcementmentioning

confidence: 99%

Draft Genome Sequence of Campylobacter jejuni CAM970 and C. coli CAM962, Associated with a Large Outbreak of Foodborne Illness in Fukuoka, Japan, in 2016

et al. 2017

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Here, we report the draft genome sequences of Campylobacter jejuni CAM970 and C. coli CAM962, which were associated with a large outbreak of foodborne illness originating from undercooked chicken sushi in Fukuoka, Japan, in May 2016. Their genome sizes were 1,690,901 and 1,704,736 bp, with 22 and 23 rRNAs, 9 and 9 tRNAs, and 411× and 419× coverage for C. jejuni CAM970 and C. coli CAM962, respectively.

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“…Two recently reported outbreaks of campylobacteriosis have been linked to commercial catering serving chicken livers leading to a novel theory linking modern restaurant cooking styles with outbreaks of Campylobacter [41,42].…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

Campylobacter bacteremia in London: A 44-year single-center study

O’Hara

Fitchett

Klein

2017

Diagnostic Microbiology and Infectious Disease

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Purpose Campylobacter species are a well recognized but rare cause of bloodstream infection. Results Patients had a mean age of 46 years and, contrasting with previous reports, nearly 50% of our patients did not have significant comorbidities. MethodsCiprofloxacin resistance increased over the study period with 35% of isolates overall being resistant compared with only 3% exhibiting macrolide resistance.Despite a minority of patients receiving appropriate empirical antibiotic therapy, overall mortality was only 7%.Conclusion Campylobacter bacteraemia remains a rare but significant cause of morbidity with a low associated mortality. Underlying immunosuppressive conditions are common but by no means universal. In our setting, macrolides would be favoured as empirical agents to treat suspected Campylobacter enteritis, including cases with associated bacteraemia.

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Confirmation of a Campylobacteriosis Outbreak Associated with Chicken Liver Pâté Using PFGE and WGS

Cited by 41 publications

References 34 publications

Whole-Genome Sequencing in Epidemiology of Campylobacter jejuni Infections

Whole-Genome Sequencing in Epidemiology of Campylobacter jejuni Infections

Draft Genome Sequence of Campylobacter jejuni CAM970 and C. coli CAM962, Associated with a Large Outbreak of Foodborne Illness in Fukuoka, Japan, in 2016

Campylobacter bacteremia in London: A 44-year single-center study

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