Identification of putative virulence attributes using suppression subtractive hybridization using Salmonella Typhimurium isolates from septicemic and healthy pigs
Bibliographic record
Abstract
In this study, we used the suppression subtractive hybridization (SSH) method to identify DNA restriction fragments present in a Salmonella Typhimurium isolate from septicemic pig but absent in a S. Typhimurium isolate recovered from a healthy animal at slaughter. Thirteen different clone inserts were identified and 5 clones had similarities with sequences with predicted functions. Two fragments showed similarities with genes found on plasmids. The putative functions are those of a DNA restriction subunit of a type III restriction and modification system for one clone and a replication protein for the other one. Three fragments showed similarities with genes found on the chromosome. The putative genes are pgtA, stbD and emrB. Seven fragments have unknown function. One plasmid of the septicemic isolate used in the SSH was characterized as it was present in another septicemic isolate that lacked the classical virulence plasmid. It contained several genes of unknown function that will need further investigation to assess their putative role in virulence.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".