<i>RBL1</i> Shapes Phyllosphere Microbial Structure to Enhance Disease Resistance in Rice
Bibliographic record
Abstract
Rice blast is caused by the fungus Magnaporthe oryzae and seriously threatens rice production worldwide. Harnessing microbe-mediated resistance is a key strategy in disease control. The RBL1 gene of rice encodes a cytidine diphosphate diacylglycerol synthase, and editing of RBL1 resulted in a new allele named RBL1 Δ12 , which confers multipathogen resistance and maintains yield. This study demonstrated that enhanced blast resistance of rbl1 Δ12 partially stemmed from differences in phyllosphere microbiota. The rbl1 Δ12 line exhibited enrichment of beneficial microorganisms in the phyllosphere, such as those from the genera Pantoea, Pseudomonas, Acidobacteria, and Sphingomonas, which inhibited the growth of several rice pathogens in dual culture plates. Moreover, phyllosphere microbial interactions were strengthened in rbl1 Δ12 , contributing toward resistance to M. oryzae. Synthetic microbial communities that mimic rbl1 Δ12 microbial communities induced rice immunity and enhanced the resistance to M. oryzae in two rice varieties, achieving environmentally friendly control of rice blast. This study revealed that host genetic modification contributed to shaping microbiome composition, providing a strategy based on beneficial microbes for sustainable disease control. [Formula: see text] Copyright © 2025 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".