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Record W4410237955 · doi:10.1128/aem.02369-24

Longitudinal and cross-sectional sampling and whole genome sequencing of <i>Campylobacter</i> in a chicken abattoir reveal highly dynamic population structure

2025· article· en· W4410237955 on OpenAlexafffundabout
Shanwei Tong, Kaidi Wang, Shenmiao Li, Michael Trimble, Yunxuan Chen, Lixue Liu, Jun Duan, Eduardo N. Taboada, Xiaonan Lu, William Hsiao

Bibliographic record

VenueApplied and Environmental Microbiology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsPublic Health Agency of CanadaSimon Fraser UniversityMcGill UniversityUniversity of British Columbia
FundersGenome Canada
KeywordsCampylobacterBiologyCampylobacter jejuniMultilocus sequence typingPopulationAntibiotic resistanceGenotypingCampylobacter coliTypingLocus (genetics)GenomeGeneticsVeterinary medicineMicrobiologyGenotypeAntibioticsBacteriaGeneEnvironmental health

Abstract

fetched live from OpenAlex

ABSTRACT Campylobacter is a leading cause of human gastroenteritis worldwide and is commonly identified in poultry products. Current knowledge of its dissemination patterns in poultry production largely relies on the less sensitive traditional genotyping methods. In this study, whole-genome sequencing was applied to 324 Campylobacter isolates sampled from a chicken abattoir in the Greater Vancouver area throughout 2020. Core genome multi-locus sequence typing analysis revealed a highly diverse and dynamic Campylobacter population containing 27 distinct lineages. A wide range of plasmids was characterized, and a high prevalence of antibiotic resistance was observed among these isolates. Distinct subpopulations were identified in 10 lineages, suggesting that some Campylobacter populations may have diversified within the local agricultural environment. Some lineages were frequently reintroduced to the abattoir, suggesting the potential presence of hidden Campylobacter reservoirs upstream of slaughter. Comparisons between biological and environmental samples suggest a high probability of between-batch cross-contamination. Locally sourced public Campylobacter isolates showed strong genomic correlations with the lineages identified in this study. Notably, lineages 1629a and 1629b were identified to have persisted within the local poultry production ecosystem for several years, explaining their recurrent detection. In conclusion, this study enhances our understanding of Campylobacter population dynamics in the chicken abattoir environment, providing insights for controlling this foodborne pathogen in poultry production systems. IMPORTANCE Using whole-genome sequencing, this study revealed a highly diverse and dynamic Campylobacter population within the chicken abattoir. The high prevalence of antibiotic resistance marked the critical need for surveillance in this region. The findings highlighted the likely existence of a hidden common source of Campylobacter upstream in the poultry production chain, which significantly contributes to the repeated introduction of the same lineages into the abattoir. Given the frequent reintroductions, the current understanding of Campylobacter persistence in the abattoir environment (up to 21 days) may require revision. Additionally, batch-to-batch dissemination of Campylobacter strains during processing is highly possible. A robust geographic association was also observed between the Campylobacter population in the abattoir and the local community. In sum, this study provides insights into the dynamics of Campylobacter contamination in the poultry production chain, offering guidance for improving prevention and control strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.324

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.220
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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