RNA‐mediated gene silencing of <i>ToxB</i> in <i>Pyrenophora tritici‐repentis</i>
Bibliographic record
Abstract
The fungus Pyrenophora tritici-repentis causes tan spot, a wheat leaf disease of worldwide importance. The pathogen produces three host-selective toxins, including Ptr ToxB, which causes chlorophyll degradation and foliar chlorosis on toxin-sensitive wheat genotypes. The ToxB gene, which codes for Ptr ToxB, was silenced in a wild-type race 5 isolate of the fungus thorough a sense- and antisense-mediated silencing mechanism. Toxin production by the silenced strains was evaluated in culture filtrates of the fungus via Western blotting analysis, and plant bioassays were conducted to test the virulence of the transformants in planta. The chlorosis-inducing ability of the silenced strains was correlated with the quantity of Ptr ToxB, and transformants in which toxin production was strongly decreased also caused very little disease on toxin-sensitive wheat genotypes. Cytological analysis of the infection process revealed that, in addition to a reduced capacity to induce chlorosis, the silenced strains with the greatest decrease in the levels of Ptr ToxB produced significantly fewer appressoria than the wild-type isolate, 12 and 24 h after inoculation onto wheat leaves. The results provide strong support for the suggestion that the amount of Ptr ToxB protein produced by fungal isolates plays a significant role in the quantitative variation in the virulence of P. tritici-repentis.
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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 | 0.001 |
| 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".