Detection of plasmids in Salmonella from poultry and investigating the potential horizontal transfer of antimicrobial resistance and virulence genes
Bibliographic record
Abstract
Antimicrobial resistance genes (ARGs) and virulence genes (VGs) have been widely reported in Salmonella which are major foodborne pathogens from poultry. This study assessed the replicon typing and conjugative ability of plasmids from poultry-derived Salmonella as well as ARGs and VGs carried by these plasmids using an in silico approach. Both PlasmidFinder 2.1 and VRprofile2 were employed to detect plasmids in Salmonella sequences downloaded from the National Center for Biotechnology Information (NCBI) Reference Sequences (RefSeq) database, and then oriTfinder was used to determine the conjugative ability of plasmids. The ARGs and VGs on plasmids were identified by both VRprofile2 and oriTfinder. The phenotypes of ARGs were predicted by ResFinder 4.1 and oriTfinder, while the phenotypes of virulence were predicted by oriTfinder and VRprofile2. We identified 183 plasmid sequences from 309 downloaded sequences. Among them, 77 (42.1 %) plasmids were conjugative, 25 (13.7 %) mobilizable, and 81 (44.3 %) non-mobilizable. Fifty-one plasmids (27.9 %) contained multi-replicons. One hundred and five plasmids carried 58 ARGs, belonging to 12 classes. The most prevalent ARG groups in plasmids were the aminoglycoside, β-lactam, sulfonamide, and tetracycline groups. In addition, 49 plasmids carried 36 different VGs belonging to 13 gene classes. The most prevalent VG groups were the adhesin, type III secretion system, and resistance to complement killing groups. The detected high percentage of conjugative plasmids and existence of many multiple replicons suggest possible high rates of plasmid-mediated horizontal gene transfer (HGT) events. Detection of previously unreported plasmid-borne VG (fdeC) from Salmonella in poultry calls for more vigilant monitoring.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".