Endophytic commensal bacteria capitalize on the AvrPto-FER pathway to enhance proliferation during early stages of pathogen invasion
Bibliographic record
Abstract
Leaves typically harbor a community of pre-existing beneficial and commensal bacteria that contribute to plant health. When pathogens invade, plants employ a series of strategies to response to the invasion, including the modulation of the microbial community structure. However, it remains unclear how commensal bacteria respond to pathogen at the early stage, and whether this response is specifically regulated. Here, we show that infection of Arabidopsis thaliana leaves by the pathogen Pseudomonas syringae pv. tomato DC3000 leads to a significant increase in the population of commensal bacteria, characterized by enrichment of Gammaproteobacteria and Alphaproteobacteria, alongside a reduction in Firmicutes and Betaproteobacteria. This cascade of events specifically occurs because AvrPto, an effector secreted by Pst DC3000, targets and inhibits the host receptor kinase FER, resulting in suppression of FER-mediated pattern-triggered immunity via the previously identified RIPK-RBOHD module. This specific suppression via FER pathway creates a condition that facilitates rapid proliferation of pre-existing commensal bacteria during early pathogen invasion. Our work provides a paradigm for the study of the interaction and ecological generality between commensal bacteria and pathogens with spatiotemporal patterns.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 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".