Continuous light enhances adventitious rooting in Robinia pseudoacacia L. through a regulatory module involving RpCOP1 and auxin signaling
Bibliographic record
Abstract
Continuous light is a crucial environmental signal, yet its precise role in adventitious rooting in woody plants, particularly concerning the function of the classical light-signaling repressor CONSTITUTIVE PHOTOMORPHOGENIC 1, remains a significant open question. This study investigated how continuous light regulates adventitious root formation in Robinia pseudoacacia L. (black locust) through RpCOP1-mediated mechanisms. Black locust tissue culture plantlets were analyzed through anatomical observation, physiological measurements, hormone profiling, transcriptome sequencing with time-ordered gene co-expression network analysis, and heterologous overexpression validation in poplar. Continuous light treatment advanced rooting by 2 days, increasing adventitious root number by 86.03 % and root length by 110.76 %. The pro-adventitious rooting effect was associated with physiological reprogramming, wherein continuous light reduced photosynthetic efficiency while promoting soluble sugar accumulation at the stem base. Time-ordered gene co-expression network analysis identified RpCOP1 as a key upstream hub whose expression is induced by continuous light. Upregulation of RpCOP1 coincided with systemic hormonal reprogramming, highlighted by 60.72 % increase in auxin. Functional validation via heterologous overexpression of RpCOP1 in poplar supported this positive regulatory role. Compared with wild-type, transgenic lines under continuous light exhibited 33.33 % increase in adventitious root number and 75.85 % increase in root length, demonstrating a photoperiod-dependent effect, with rooting performance ordering continuous light > normal light > continuous dark. These findings support a context-dependent model where RpCOP1 function exhibits either repressive or activating roles depending on light environment and tissue type.
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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) | 0.000 | 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 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".