Detection of antibiotic-related genes from bacterial biocontrol agents with polymerase chain reaction
Bibliographic record
Abstract
Pseudomonas chlororaphis PA23, Pseudomonas spp. strain DF41, and Bacillus amyloliquefaciens BS6 consistently inhibit infection of canola petals by Sclerotinia sclerotiorum in both greenhouse and field experiments. Bacillus thuringiensis BS8, Bacillus cereus L, and Bacillus mycoides S have shown significant inhibition against S. sclerotiorum on plate assays. The presence of antibiotic biosynthetic or self-resistance genes in these strains was investigated with polymerase chain reaction and, in one case, Southern blotting. Thirty primers were used to amplify (i) antibiotic biosythetic genes encoding phenazine-1-carboxylic acid, 2,4-diacetylphloroglucinol, pyoluteorin, and pyrrolnitrin, and (ii) the zwittermicin A self-resistance gene. Our findings revealed that the fungal antagonist P. chlororaphis PA23 contains biosynthetic genes for phenazine-1-carboxylic acid and pyrrolnitrin. Moreover, production of these compounds was confirmed by high performance liquid chromatography. Pseudomonas spp. DF41 and B. amyloliquefaciens BS6 do not appear to harbour genes for any of the antibiotics tested. Bacillus thuringiensis BS8, B. cereus L, and B. mycoides S contain the zwittermicin A self-resistance gene. This is the first report of zmaR in B. mycoides.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".