Variation in the response of tomato (<i>Solanum lycopersicum</i>) breeding lines to the effects of benzo (1,2,3) thiadiazole‐7‐carbothioic acid S‐methyl ester (BTH) on systemic acquired resistance and seed germination
Bibliographic record
Abstract
Abstract Genetic variation may play a major role in how plants respond to activators of systemic acquired resistance. To examine this, the defence activator benzo(1,2,3)thiadiazole‐7‐carbothioic acid S‐methyl ester (BTH) was applied to seed of different breeding lines of tomato ( Solanum lycopersicum ) with diverse pedigrees, and the levels of induced resistance against Pseudomonas syringae pv. tomato , changes in defence gene expression and detrimental effects on seed germination and seedling emergence were measured. Two breeding lines, 7007 and 7024, were selected as non‐responsive and responsive to BTH. The SAR‐associated genes, SlPR1a and SlPR3b , were induced earlier or more strongly over the control prior to inoculation for line 7024 but not for line 7007. This was not observed for the ISR‐related genes, SlPin2 and SlPR2b . BTH inhibition of seed germination and seedling emergence was more delayed in line 7024 than 7007. However, applying BTH as a seed or soil drip reduced the delay. Thus, greater levels of BTH response have both positive (i.e., induced resistance and expression of SAR‐related gene expression) and negative (i.e., inhibition of seed germination and seedling emergence) effects and can differ significantly between genotypes. Thus, recommendations for use of induced resistance activators should include plant genotype recommendations and consider possible negative impacts of greater responsiveness.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".