Deciphering the regulatory network underlying auxin depletion-induced fruitlet abscission in litchi ( <i>Litchi chinensis</i> Sonn.)
Bibliographic record
Abstract
Auxin transport through the abscission zone (AZ) is crucial for preventing organ abscission in plants; however, the regulatory mechanisms involved remain poorly understood. Here, we demonstrate that exogenous auxin application alone fully inhibits abscission triggered by litchi (Litchi chinensis Sonn.) fruitlet removal, which depletes auxin in the AZ. Following fruitlet removal, we observed sequential and significant alterations in 7 biological processes within the AZ, including the transient suppression of auxin signaling and activation of ethylene and abscisic acid signaling, followed by the increased production of reactive oxygen species, reduced carbohydrate content, and ultimately, the induction of programmed cell death and cell wall remodeling (CWR). Moreover, we identified 34 transcription factors as potential key regulators and constructed transcriptional regulatory networks involved in auxin depletion-induced abscission. Notably, we characterized LcMYB62 as a positive regulator of abscission, likely functioning by transactivating genes associated with CWR. We further showed that the transcription factor AUXIN RESPONSE FACTOR 5 (LcARF5) binds to and activates LcMYB62, suggesting a LcARF5-LcMYB62-CWR transcriptional regulatory cascade in litchi fruitlet abscission. Overall, our findings provide a comprehensive overview of the gene regulatory network governing auxin-mediated fruitlet abscission in litchi, providing insights into the mechanisms by which auxin depletion in the AZ triggers this process.
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 | 0.001 | 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 | 0.000 |
| 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".