Leaf and tuber treatments with PAMPs trigger organ-specific responses in potato
Bibliographic record
Abstract
Organ-specificity of plant defence is an under-represented axis of research in plant biology. However, recent publications point out the importance of this concept in plant–pathogen interactions. Indeed, assuming the resistance status of a whole plant against a given pathogen following studies conducted on a single organ might lead to erroneous conclusions. This study aims at understanding the extent of potato (Solanum tuberosum) organ-specific defence mechanisms after leaf and tuber treatments with pathogen-associated molecular patterns (PAMPs). Our results show that potato leaves and tubers activate contrasting defence responses, in terms of production of reactive oxygen species (ROS) and activation of defence-related genes, following treatments with the Phytophthora PAMP Pep-25 or the bacterial PAMP flg22. Interestingly, flg22 induced ROS production in both leaves and tubers, indicating that this peptide is recognized in these organs. By contrast, ROS production was induced in the leaf but not in the tuber after Pep-25 treatment. Analysis of changes in expression of defence-related genes showed that at least six genes exhibited organ-specific expression patterns. In addition to those early responses, inhibition of potato seedling growth was also found to affect both the aboveground and belowground organs following treatment with Pep-25 and with flg22. Taken together, these experiments will help further the investigation of potato defence against Phytophthora spp.
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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".