Inhibition of photosynthesis and modification of the wheat leaf proteome by Ptr ToxB: A host‐specific toxin from the fungal pathogen <i>Pyrenophora tritici‐repentis</i>
Bibliographic record
Abstract
Tan spot, caused by Pyrenophora tritici-repentis, is an important foliar disease of wheat. The fungus produces the host-specific, chlorosis-inducing toxin Ptr ToxB. To better understand toxin action, we examined the effects of Ptr ToxB on sensitive wheat. Photosynthesis, as measured by infrared gas analysis, declined significantly within 12 h of toxin treatment, prior to the development of chlorosis at 48-72 h. Analysis by 2-DE revealed a total of 102 protein spots with significantly altered intensities 12-36 h after toxin treatment, of which 66 were more abundant and 36 were less abundant than in the buffer-treated control. The identities of 47 of these spots were established by MS/MS, and included proteins involved in the light reactions of photosynthesis, the Calvin cycle, and the stress/defense response. Based on the declines in photosynthesis and the identities of the differentially abundant proteins, we hypothesize that Ptr ToxB causes a rapid disruption in the photosynthetic processes of sensitive wheat, leading to the generation of ROS and oxidative stress. Although the photoprotective and repair mechanisms of the host appear to initially still be functional, they are probably overwhelmed by the continued production of ROS, leading to chlorophyll photooxidation and the development of chlorosis.
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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".