<i>Paenibacillus polymyxa</i>produces fusaricidin-type antifungal antibiotics active against<i>Leptosphaeria maculans</i>, the causative agent of blackleg disease of canola
Bibliographic record
Abstract
A bacterial isolate capable of inhibiting the growth of Leptosphaeria maculans (Desmaz.) Ces. & De Not., the causative agent of blackleg disease of canola (Brassica napus L. and Brassica rapa L.), was identified as a potential biological control agent. This environmental isolate was determined to be Paenibacillus polymyxa based on its (i) biochemical and growth characteristics and (ii) 16S rRNA sequence similarity, and was given the strain designation PKB1. Antifungal peptides were produced by P. polymyxa PKB1 around the onset of sporulation, with optimal production on potato dextrose broth. The antifungal peptides were extracted from P. polymyxa PKB1 cells and (or) spores using methanol and were purified using size exclusion and reverse-phase chromatography. Characterization of the antifungal peptides was done using amino acid compositional analysis, Edman degradation sequencing from partially hydrolyzed material, and a variety of mass spectrometric methods. The purified antifungal material was found to be a mixture of related peptides of molecular masses 883, 897, 948, and 961 Da, with the most likely structure of the 897 Da component determined to be a cyclic depsipeptide with an unusual 15-guanidino-3-hydroxypentadecanoic acid moiety bound to a free amino group. These compounds are therefore members of the fusaricidin group of cyclic depsipeptides.
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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 | 0.000 | 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 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".