Mechanisms and means of detection of biocontrol activity of<i>Pseudozyma</i>yeasts against plant-pathogenic fungi
Bibliographic record
Abstract
Fungi belonging to Pseudozyma spp. represent a small group of yeasts that have drawn limited interest in the scientific literature. However, new research with one species of Pseudozyma, Pseudozyma flocculosa, has demonstrated the potential of this yeast as a biocontrol agent of plant-pathogenic fungi. Based on recent work, it appears that P. flocculosa, a natural inhabitant of the phyllosphere, possesses unique means of defending its ecological niche by producing unusual extracellular fatty acids that are detrimental to, among other fungi, powdery mildews, an important group of plant pathogens. Results from these studies have shown that the fatty acids naturally insert themselves into powdery mildew fungi and cause disorganization of cellular membranes and cell disintegration. Further work with insertional mutagenesis yielded mutants of P. flocculosa that represent valuable biological tools to better understand the properties of the yeast. For instance, preliminary work with mutants having lost their antagonistic properties has led to the isolation of a new metabolite with antifungal activity. Discoveries pertaining to the ecology and mode of action of P. flocculosa may lead to the study of unique metabolic or biological processes in other Pseudozyma spp. that could well release the untapped potential of these misunderstood yeasts.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".