A host–pathogen interactome uncovers phytopathogenic strategies to manipulate plant <scp>ABA</scp> responses
Bibliographic record
Abstract
Summary The phytopathogen Pseudomonas syringae delivers into host cells type III secreted effectors (T3 SE s) that promote virulence. One virulence mechanism employed by T3 SE s is to target hormone signaling pathways to perturb hormone homeostasis. The phytohormone abscisic acid ( ABA ) influences interactions between various phytopathogens and their plant hosts, and has been shown to be a target of P. syringae T3 SE s. In order to provide insight into how T3 SE s manipulate ABA responses, we generated an A BA ‐ T 3 SE i nteractome n etwork ( ATIN ) between P. syringae T3 SE s and Arabidopsis proteins encoded by ABA ‐regulated genes. ATIN consists of 476 yeast‐two‐hybrid interactions between 97 Arabidopsis ABA ‐regulated proteins and 56 T3 SE s from four pathovars of P. syringae . We demonstrate that T3 SE interacting proteins are significantly enriched for proteins associated with transcription. In particular, the ETHYLENE RESPONSIVE FACTOR ( ERF ) family of transcription factors is highly represented. We show that ERF 105 and ERF 8 displayed a role in defense against P. syringae , supporting our overall observation that T3 SE s of ATIN converge on proteins that influence plant immunity. In addition, we demonstrate that T3 SE s that interact with a large number of ABA ‐regulated proteins can influence ABA responses. One of these T3 SE s, HopF3 Pph6 , inhibits the function of ERF 8, which influences both ABA ‐responses and plant immunity. These results provide a potential mechanism for how HopF3 Pph6 manipulates ABA ‐responses to promote P. syringae virulence, and also demonstrate the utility of ATIN as a resource to study the ABA ‐T3 SE interface.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".