Jasmonate-dependent expression of a galactinol synthase gene is involved in priming of systemic fungal resistance in <i>Arabidopsis thaliana</i>
Bibliographic record
Abstract
Previously, root colonization by the rhizobacterium, Pseudomonas chlororaphis O6, was shown to induce expression of galactinol synthase conferring systemic resistance against a fungal pathogen in cucumber leaves. Here, the Arabidopsis – Botrytis cinerea system is introduced to better understand signal transduction of galactinol and (or) raffinose family oligosaccharides (RFO) during O6-mediated induced systemic resistance (ISR). Among the 10 Arabidopsis galactinol synthase genes, only AtGolS1 was specifically induced upon infection with the fungal pathogen B. cinerea. AtGolS1 was primed by O6 colonization against the pathogen in Arabidopsis leaves. Arabidopsis T-DNA insertion mutants at the AtGolS1 gene site compromised O6-mediated ISR against the pathogen, thereby suggesting that AtGolS1 plays an important role in ISR. O6 colonization increased AtGolS1 transcription as well as ISR in several Arabidopsis signaling mutants, but not in the jar1-1 and coi1 mutant lines. Exogenous jasmonate treatment induced transcription of AtGolS1 in wild-type Col-0 plants, but salicylic acid and 1-aminocyclopropane-1-carboxylate did not. These studies on signaling mutants and target gene expression indicate that expression of AtGolS1 in response to O6 colonization is mediated through the jasmonate-dependent pathway, stimulating ISR in Arabidopsis against B. cinerea infection.
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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) | 0.001 | 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".