Characterization of a mobile and multiple resistance plasmid isolated from swine manure and its detection in soil after manure application
Bibliographic record
Abstract
AIMS: To isolate and characterize multiple antibiotic resistance plasmids found in swine manure and test for plasmid-associated genetic markers in soil following manure application to an agricultural field. METHODS AND RESULTS: Plasmids were isolated from an erythromycin enrichment culture that used liquid swine manure as an inoculant. Plasmids were transformed into Escherichia coli DH10β for subsequent characterization. We isolated and DNA sequenced a 22 102-bp plasmid (pMC2) that confers macrolide, and tetracycline resistances, and carries genes predicted to code for mercury and chromium resistance. Conjugation experiments using an pRP4 derivative as a helper plasmid confirm that pMC2 has a functional mobilization unit. PCR was used to detect genetic elements found on pMC2 in DNA extracted from manure amended soil. CONCLUSIONS: The pMC2 plasmid has a tetracycline-resistant core and has acquired additional resistance genes by insertion of an accessory region (12 762 bp) containing macrolide, mercury and chromium resistance genes, which was inserted between the truncated DDE motifs within the Tn903/IS102 mobile element. SIGNIFICANCE AND IMPACT OF THE STUDY: Liquid swine manure used for manure spreading contains multiple antibiotic resistance plasmids that can be detected in soil following manure application.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".