Lessons learned from type III effector transgenic plants
Bibliographic record
Abstract
The Gram negative bacterial phytopathogen Pseudomonas syringae employs a molecular syringe termed the Type III secretion system (TTSS) to deliver an array of Type III secreted effector (TTSE) proteins into plant cells. The major function ascribed to type III effectors of P. syringae is their ability to suppress plant immunity. Because individual pathovars of P. syringae can possess over 30 TTSEs, functional redundancy can provide a hurdle to ascribing functions by TTSE-deletion or -overexpression in such TTSE-rich backgrounds. Approaches to overcome functional redundancy have included the deletion of multiple TTSEs from individual pathovars as well as engineering the plant commensal P. fluorescens strain to express the P. syringae TTSS and deliver P. syringae TTSEs. As we describe here, transgenic Arabidopsis plants expressing individual TTSEs have also be used to overcome problems of functional redundancy and provide invaluable insights into TTSE virulence functions.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".