A temperature-responsive regulator that enhances virulence in the kiwifruit canker pathogen <i>Pseudomonas syringae</i> pv. a <i>ctinidiae</i>
Bibliographic record
Abstract
Pseudomonas syringae pv. actinidiae ( Psa ), the causative agent of kiwifruit canker disease, poses significant threats to global kiwifruit production, resulting in substantial economic losses. Disease incidence is notably higher under cooler temperatures (<20℃), yet the molecular mechanisms underlying Psa 's temperature-dependent virulence remain poorly understood. Here, we identify RS16350, encoding a heat shock protein homolog, as a positive regulator of Psa pathogenicity specifically at low temperature (16℃) but not at optimal growth temperature (28℃). Mechanistic studies reveal that RS16350 physically interacts with HrpL, the RpoN-dependent sigma factor controlling type III secretion system (T3SS) expression in Psa . This interaction enhances HrpL's binding affinity to the hrp-box promoter element, thereby upregulating T3SS effector genes and increasing virulence. We designate this novel regulator as TrpR2 (temperature-responsive pathogenic regulator 2). These findings provide molecular insights into temperature-modulated virulence in a key plant pathogen and identify potential targets for developing innovative disease control strategies.
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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".