A representative overview of the genetic diversity and lipooligosaccharide sialylation in Campylobacter jejuni along the broiler production chain in France and its comparison with human isolates

ABSTRACTThe genetic diversity ofCampylobacter jejuniandCampylobacter coliisolates from commercial broiler farms was examined by multilocus sequence typing (MLST), with an assessment of the impact of the sample type and laboratory method on the genotypes ofCampylobacterisolated. A total of 645C. jejuniand 106C. coliisolates were obtained from 32 flocks and 17 farms, with 47 sequence types (STs) identified. TheCampylobacter jejuniisolates obtained by different sampling approaches and laboratory methods were very similar, with the same STs identified at similar frequencies, and had no major effect on the genetic profile ofCampylobacterpopulation in broiler flocks at the farm level. ForC. coli, the results were more equivocal. While some STs were widely distributed within and among farms and flocks, analysis of molecular variance (AMOVA) revealed a high degree of genetic diversity among farms forC. jejuni, where farm effects accounted for 70.5% of variance, and among flocks from the same farm (9.9% of variance forC. jejuniand 64.1% forC. coli). These results show the complexity of the population structure ofCampylobacterin broiler production and that commercial broiler farms provide an ecological niche for a wide diversity of genotypes. The genetic diversity ofC. jejuniisolates among broiler farms should be taken into account when designing studies to understandCampylobacterpopulations in broiler production and the impact of interventions. We provide evidence that supports synthesis of studies onC. jejunipopulations even when laboratory and sampling methods are not identical.

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Monitoring of Campylobacter jejuni Contamination in Different Links of Broiler Production Chain in Qingdao

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.713-715.548 ◽

2015 ◽

Vol 713-715 ◽

pp. 548-551

Author(s):

Hai Hua Zhai ◽

Wei Shan Chang ◽

Jun Wei Wang ◽

Juan Wang

Keyword(s):

Campylobacter Jejuni ◽

Theoretical Basis ◽

Prevention And Control ◽

Scientific Management ◽

Production Chain ◽

Microbial Monitoring ◽

Animal Diseases ◽

Broiler Production ◽

Genotyping Method ◽

And Control

Microbial monitoring of broiler production can provide an important theoretical basis for the prevention and control of animal diseases and reduce the pollution of the environment. In order to investigate the contamination and spread of Campylobacter jejuni in broiler production chain, we collected samples from the broiler farms, slaughterhouse and market of a big production chain in Qingdao, isolated and identified of Campylobacter jejuni. Then we used genotyping method to subtype the isolates. The result showed that C.jejuni were widespread in broiler pruduction chain, and the strains can spread during the production chain, so strengthen the scientific management of the production chain must be implemented. Control in the feeding, processing and preparation before eating of chicken are the important measures in reducing the Campylobacter jejuni infections caused by chicken.

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Molecular epidemiology of Campylobacter jejuni isolates from the broiler production chain: first report of MLST profiles in Argentina

Revista Argentina de Microbiología ◽

10.1016/j.ram.2020.06.005 ◽

2020 ◽

Author(s):

M.V. Zbrun ◽

E. Rossler ◽

L.P. Soto ◽

M.R. Rosmini ◽

G.J. Sequeira ◽

...

Keyword(s):

Molecular Epidemiology ◽

Campylobacter Jejuni ◽

Production Chain ◽

First Report ◽

Broiler Production

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Antimicrobial Resistance Genes and Plasmids in Campylobacter jejuni from Broiler Production Chain in Southern Brazil

LWT ◽

10.1016/j.lwt.2021.111202 ◽

2021 ◽

pp. 111202

Author(s):

Natalie Rauber Kleinubing ◽

Tassiana Ramires ◽

Simone de Fátima Rauber Würfel ◽

Louise Haubert ◽

Leticia Klein Scheik ◽

...

Keyword(s):

Antimicrobial Resistance ◽

Campylobacter Jejuni ◽

Resistance Genes ◽

Southern Brazil ◽

Production Chain ◽

Broiler Production ◽

Antimicrobial Resistance Genes

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Faculty Opinions recommendation of Whole genome comparison of Campylobacter jejuni human isolates using a low-cost microarray reveals extensive genetic diversity.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1002156.24405 ◽

2001 ◽

Author(s):

Dominique Caugant

Keyword(s):

Genetic Diversity ◽

Campylobacter Jejuni ◽

Low Cost ◽

Genome Comparison ◽

Whole Genome ◽

Whole Genome Comparison

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Whole genome-based characterisation of antimicrobial resistance and genetic diversity in Campylobacter jejuni and Campylobacter coli from ruminants

Scientific Reports ◽

10.1038/s41598-021-88318-0 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Medelin Ocejo ◽

Beatriz Oporto ◽

José Luis Lavín ◽

Ana Hurtado

Keyword(s):

Genetic Diversity ◽

Antimicrobial Resistance ◽

Campylobacter Jejuni ◽

Resistance Genes ◽

Campylobacter Coli ◽

Whole Genome ◽

Northern Spain ◽

Sequence Alignments ◽

Phenotypic Data ◽

Wide Range

AbstractCampylobacter, a leading cause of gastroenteritis in humans, asymptomatically colonises the intestinal tract of a wide range of animals.Although antimicrobial treatment is restricted to severe cases, the increase of antimicrobial resistance (AMR) is a concern. Considering the significant contribution of ruminants as reservoirs of resistant Campylobacter, Illumina whole-genome sequencing was used to characterise the mechanisms of AMR in Campylobacter jejuni and Campylobacter coli recovered from beef cattle, dairy cattle, and sheep in northern Spain. Genome analysis showed extensive genetic diversity that clearly separated both species. Resistance genotypes were identified by screening assembled sequences with BLASTn and ABRicate, and additional sequence alignments were performed to search for frameshift mutations and gene modifications. A high correlation was observed between phenotypic resistance to a given antimicrobial and the presence of the corresponding known resistance genes. Detailed sequence analysis allowed us to detect the recently described mosaic tet(O/M/O) gene in one C. coli, describe possible new alleles of blaOXA-61-like genes, and decipher the genetic context of aminoglycoside resistance genes, as well as the plasmid/chromosomal location of the different AMR genes and their implication for resistance spread. Updated resistance gene databases and detailed analysis of the matched open reading frames are needed to avoid errors when using WGS-based analysis pipelines for AMR detection in the absence of phenotypic data.

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Genetic Diversity of Campylobacter jejuni Isolates from Farm Animals and the Farm Environment

Applied and Environmental Microbiology ◽

10.1128/aem.69.12.7409-7413.2003 ◽

2003 ◽

Vol 69 (12) ◽

pp. 7409-7413 ◽

Cited By ~ 116

Author(s):

F. M. Colles ◽

K. Jones ◽

R. M. Harding ◽

M. C. J. Maiden

Keyword(s):

Genetic Diversity ◽

Campylobacter Jejuni ◽

Human Disease ◽

Clonal Complex ◽

Food Samples ◽

Complex Model ◽

Farm Animals ◽

Significant Genetic Differentiation ◽

Sequence Types ◽

Retail Food

ABSTRACT The genetic diversity of Campylobacter jejuni isolates from farm animals and their environment was investigated by multilocus sequence typing (MLST). A total of 30 genotypes, defined by allelic profiles (assigned to sequence types [STs]), were found in 112 C. jejuni isolates originating in poultry, cattle, sheep, starlings, and slurry. All but two of these genotypes belonged to one of nine C. jejuni clonal complexes previously identified in isolates from human disease and retail food samples and one clonal complex previously associated with an environmental source. There was some evidence for the association of certain clonal complexes with particular farm animals: isolates belonging to the ST-45 complex predominated among poultry isolates but were absent among sheep isolates, while isolates belonging to the ST-61 and ST-42 complexes were predominant among sheep isolates but were absent from the poultry isolates. In contrast, ST-21 complex isolates were distributed among the different isolation sources. Comparison with MLST data from 91 human disease isolates showed small but significant genetic differentiation between the farm and human isolates; however, representatives of six clonal complexes were found in both samples. These data demonstrate that MLST and the clonal complex model can be used to identify and compare the genotypes of C. jejuni isolates from farm animals and the environment with those from retail food and human disease.

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