Inhibiting C-4 Methyl Sterol Oxidase with Novel Diazaborines to Target Fungal Plant Pathogens
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide With resistance to current agricultural fungicides rising, a great need has emerged for new antifungals with unexploited targets. In response, we report a novel series of diazaborines with potent activity against representative fungal plant pathogens. To identify their mode of action, we selected for resistant isolates using the model fungus Saccharomyces cerevisiae . Whole-genome sequencing of independent diazaborine-resistant lineages identified a recurring mutation in ERG25, which encodes a C-4 methyl sterol oxidase required for ergosterol biosynthesis in fungi. Haploinsufficiency and allele-swap experiments provided additional genetic evidence for Erg25 as the most biologically relevant target of our diazaborines. Confirming Erg25 as putative target, sterol profiling of compound-treated yeast revealed marked accumulation of the Erg25 substrate, 4,4-dimethylzymosterol and depletion of both its immediate product, zymosterol, as well as ergosterol. Encouraged by these mechanistic insights, the potential utility of targeting Erg25 with a diazaborine was demonstrated in soybean-rust and grape-rot models of fungal plant disease.
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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) | 0.001 | 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".