Dynamics of antimicrobial resistance and virulence genes in <i>Enterococcus faecalis</i> during swine manure storage
Bibliographic record
Abstract
In this study we used 2 experimental approaches to evaluate the stability of antimicrobial resistance (AMR) phenotypes, selected AMR genes, and selected virulence genes in Enterococcus faecalis during manure storage on a commercial swine farm. Isolates of E. faecalis were obtained directly from fresh fecal material (n = 120) and from the manure storage facility (n = 85) and compared. Tetracycline resistance and the virulence genes cob, esp, eep, and ccf were detected at lower frequency in manure isolates than in fecal isolates. A second approach consisted of immersing in diffusion chambers pure cultures of E. faecalis that varied in their AMR phenotypes and virulence genotypes in the swine manure storage facility for 8 weeks, sampling periodically, and evaluating the recovered strains for changes in their genotypic or phenotypic characteristics. Enterococcus faecalis populations declined exponentially, with rate constants ranging from 0.011 to 0.022 h(-1). Among the AMR and virulence genes examined, 1 AMR gene (sat4) and 7 virulence genes (agrB(fs), cob, cpd, cylB, efaA(fs), enlA, and esp) were lost at low frequencies in the recovered strains. The AMR phenotypes were stable during the incubation, with minimal loss (P > 0.05) of the streptomycin-resistance phenotype. Overall, these results suggest that some attributes of public health significance in populations of E. faecalis decrease in frequency during manure storage.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".