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Record W2788060026 · doi:10.1128/aem.02713-17

Subtype-Specific Selection for Resistance to Fluoroquinolones but Not to Tetracyclines Is Evident in Campylobacter jejuni Isolates from Beef Cattle in Confined Feeding Operations in Southern Alberta, Canada

2018· article· en· W2788060026 on OpenAlexafffundabout
Andrew L. Webb, L. Brent Selinger, Eduardo N. Taboada, G. Douglas Inglis

Bibliographic record

VenueApplied and Environmental Microbiology · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsPublic Health Agency of CanadaUniversity of LethbridgeAgriculture and Agri-Food Canada
FundersBeef Cattle Research CouncilAlberta Livestock and Meat AgencyAlberta Beef Producers
KeywordsNalidixic acidCampylobacterBiologyTetracyclineCampylobacter jejuniCiprofloxacinBeef cattleMicrobiologyCampylobacteriosisAntibiotic resistanceVeterinary medicinePopulationBacteriaAntibioticsAnimal scienceMedicineGeneticsEnvironmental health

Abstract

fetched live from OpenAlex

ABSTRACT Campylobacter jejuni was longitudinally isolated from beef cattle housed in four confined feeding operations (CFOs) in Southern Alberta, Canada, over 18 months. All of the cattle were administered a variety of antimicrobial agents (AMAs) nontherapeutically and metaphylactically during their time in the CFOs. In total, 7,966 C. jejuni isolates were recovered from cattle. More animals were colonized by the bacterium after >60 days in the CFO (interim) than were individuals upon entry at the CFO (arrival). Subtyping and resistance to seven AMAs were determined for 1,832 (23.0%) and 1,648 (20.7%) isolates, respectively. Increases in the proportion of isolates resistant to tetracycline were observed at all four CFOs between sample times and to ciprofloxacin and nalidixic acid at one or more CFOs. The vast majority of isolates resistant to tetracycline carriedtetO, whereas ciprofloxacin resistance was predominantly attributed to mutations in thegyrAgene. Although considerable diversity was observed, a majority of C. jejuni isolates belonged to one of five predominant subtype clusters. There was no difference in subtype diversity by CFO, but the population structure differed between sample times. Selection for resistance to ciprofloxacin and nalidixic acid was subtype dependent, whereas selection for resistance to tetracycline was not. The findings indicate that a proportion of cattle entering CFOs carry resistant C. jejuni subtypes, and the characteristics of beef cattle CFOs facilitate transmission/proliferation of diverse subtypes, including those resistant to AMAs, which coupled with the densities of CFOs likely contribute to the high rates of cattle-associated campylobacteriosis in Southern Alberta. IMPORTANCEA small proportion of cattle entering a CFO carry Campylobacter jejuni , including subtypes resistant to AMAs. The large numbers of cattle arriving from diverse locations at the CFOs and intermingling within the CFOs over time, coupled with the high-density housing of animals, the high rates of transmission of C. jejuni subtypes among animals, and the extensive use of AMAs merge to create an ideal situation where the proliferation of diverse antimicrobial-resistant C. jejuni subtypes is facilitated. Considering that Southern Alberta reports high rates of campylobacteriosis in the human population and that many of these clinical cases are due to C. jejuni subtypes associated with cattle, it is likely that the characteristics of beef cattle CFOs favor the propagation of clinically relevant C. jejuni subtypes, including those resistant to medically important AMAs, which constitute a risk to human health.

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 score0.184
Threshold uncertainty score0.371

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.013
GPT teacher head0.204
Teacher spread0.191 · 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

Citations24
Published2018
Admission routes3
Has abstractyes

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