Chloroplast‐associated metabolic functions influence the susceptibility of maize to <i>Ustilago maydis</i>
Bibliographic record
Abstract
Biotrophic fungal pathogens must evade or suppress plant defence responses to establish a compatible interaction in living host tissue. In addition, metabolic changes during disease reflect both the impact of nutrient acquisition by the fungus to support proliferation and the integration of metabolism with the plant defence response. In this study, we used transcriptome analyses to predict that the chloroplast and associated functions are important for symptom formation by the biotrophic fungus Ustilago maydis on maize. We tested our prediction by examining the impact on disease of a genetic defect (whirly1) in chloroplast function. In addition, we examined whether disease was influenced by inhibition of glutamine synthetase by glufosinate (impacting amino acid biosynthesis) or inhibition of 3-phosphoshikimate 1-carboxyvinyltransferase by glyphosate (influencing secondary metabolism). All of these perturbations increased the severity of disease, thus suggesting a contribution to resistance. Overall, these findings provide a framework for understanding the components of host metabolism that benefit the plant versus the pathogen during a biotrophic interaction. They also reinforce the emerging importance of the chloroplast as a mediator of plant defence.
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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".