<scp>HSFA2D</scp> – <scp>LAZY6–LAZY1</scp> module regulates shoot gravitropism and tiller angle in rice
Bibliographic record
Abstract
Tiller angle is a critical architectural trait in rice (Oryza sativa), affecting planting density, light interception, and grain yield. While HEAT STRESS TRANSCRIPTION FACTOR 2D (HSFA2D) has been shown to regulate tiller angle via LAZY1 (LA1)-mediated auxin distribution, the precise mechanisms governing this pathway remain elusive. We identified and characterized LA6, which encodes a heat shock protein 70-interacting protein, through mutant screening and the MutMap strategy. Biochemical, molecular, and genetic studies were used to elucidate the functional relationship of LA6 with HSFA2D and LA1 in mediating shoot gravitropism and tiller angle. The la6 mutant exhibited impaired shoot gravitropism and increased tiller angle due to reduced lateral auxin transport and disrupted asymmetric auxin distribution. The LA6 gene was highly expressed in shoot bases, and the LA6 protein was localized to the nucleus, cytoplasm, and plasma membrane. Intriguingly, LA6 physically interacted with HSFA2D and LA1. Genetic analyses showed that LA6 acts downstream of HSFA2D and upstream of LA1 within the same regulatory pathway. Our findings reveal that the HSFA2D-LA6-LA1 module orchestrates shoot gravitropism and tiller angle in rice, which not only advances our understanding of plant architecture regulation but also provides potential targets for yield improvement.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".