Root microbiota regulates tiller number in rice
Bibliographic record
Abstract
Rice tillering is an important agronomic trait regulated by plant genetic and environmental factors. However, the role and mechanism of the root microbiota in modulating rice tillering have not been explored. Here, we examined the root microbiota composition and tiller numbers of 182 genome-sequenced rice varieties grown under field conditions and uncovered a significant correlation between root microbiota composition and rice tiller number. Using cultivated bacterial isolates, we demonstrated that various members of the root microbiota can regulate rice tillering in both laboratory and field conditions. Genetic, biochemical, and structural analyses revealed that cyclo(Leu-Pro), produced by the tiller-inhibiting bacterium Exiguobacterium R2567, activates the rice strigolactone (SL) signaling pathway by binding to the SL receptor OsD14, thus regulating tillering. The present work provides insight into how the root microbiota regulates key agronomic traits and offers a promising strategy for optimizing crop growth by harnessing the root microbiota in sustainable agriculture.
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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 | 0.000 |
| 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 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".