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Record W2032493547 · doi:10.1089/fpd.2009.0270

Commensal Fecal <i>Escherichia coli</i> Diversity in Dairy Cows at High and Low Risk for Incurring Subacute Ruminal Acidosis

2009· article· en· W2032493547 on OpenAlexaff
Ranjana Sharma, Krysty Munns, S. Jacob John, Greg B Penner, M. Oba, Edward Topp, K. A. Beauchemin

Bibliographic record

VenueFoodborne Pathogens and Disease · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of AlbertaAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyEscherichia coliRumenMicrobiologyAmpicillinPulsed-field gel electrophoresisFecesTetracyclineAnimal scienceGenotypeVeterinary medicineAntibioticsFood scienceMedicineBiochemistry

Abstract

fetched live from OpenAlex

Subacute ruminal acidosis (SARA) is a common digestive disorder in dairy cows characterized by prolonged periods of undesirably low rumen pH (<5.8) and is caused by the accumulation of volatile fatty acids in rumen. This disorder damages the ruminal mucosa, causes diarrhea, reduces dry matter intake (DMI), and can result in anorexia and death. In this study, nonlactating dairy cows were fed diets predisposing them to a high risk (HR; n = 6) or a low risk (LR; n = 6) for experiencing SARA. The goal was to investigate differences in antimicrobial resistance selection, proliferation, and characterization of Escherichia coli strain types among the two treatment groups. Fecal samples were used to isolate total, tetracycline-resistant (Tet(r)), and ampicillin-resistant E. coli, and selected isolates were examined. We found reduced total (1.2-fold) and Tet(r) (1.4-fold) E. coli in HR cows. Low ampicillin-resistant E. coli shedding was detected from both HR (0.22 colony forming unit/g) and LR (0.46 colony forming unit/g) cows. Overall, 39 pulsed-field gel electrophoresis (PFGE) profiles and 13 antibiotic resistance profiles (phenotypes) were identified from the total isolates examined (n = 144). The LR cows exhibited diverse genotypes (22 PFGE profiles) clustering into seven restriction endonuclease digestion pattern clusters (REPCs) within total and Tet(r) E. coli. In comparison, isolates from HR animals showed increased genotypic relatedness (16 PFGE profiles and 13 REPC with comparable phenotypes). From both HR and LR cows, no significant differences in the detection of a particular phenotype were observed (p > 0.05), and tet(A) allele was frequently detected among isolates from HR (45.2%) and tet(B) from LR (36.6%) cows. Changes in fecal E. coli genotypes should be explored further for its usefulness as an indicator for SARA since dairy cows are a reservoir of diverse E. coli strain types. Our results elucidate phenotypic and genotypic differences in fecal E. coli shed between HR and LR cows.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.215
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.218
Teacher spread0.201 · 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 teacher head, 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

Citations6
Published2009
Admission routes1
Has abstractyes

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