<scp>HY5</scp> inhibits <i>in vitro</i> shoot stem cell niches initiation via directly repressing pluripotency and cytokinin pathways
Bibliographic record
Abstract
The efficiency of plant regeneration from explants is influenced by phytohormones and environmental conditions. Light has a particularly marked effect on in vitro shoot regeneration, and some light signaling factors are involved in shoot regeneration, while the underlying molecular mechanism remains elusive. Here, ELONGATED HYPOCOTYL5 (HY5), as the key transcription factor of light signaling, was found to inhibit shoot regeneration under a range of light conditions. The heightened shoot regeneration capacity of the hy5-215 mutant was less marked in the dark than in the light, showing that HY5-mediated inhibition of shoot regeneration is partly light dependent. The co-localization of WUSCHEL (WUS) and CLAVATA3 (CLV3) expressions was found to coincide with the initiation of stem cell niches in root explants during shoot regeneration. HY5 could directly repress CLV3 and WUS expression by binding to their respective promoters. In parallel, HY5 indirectly repressed CLV3 and WUS by binding to the ARABIDOPSIS RESPONSE REGULATOR12 (ARR12) promoter. The resulting dual regulation exerted by HY5 on WUS and CLV3 impeded the initiation of shoot stem cell niches. A HY5-mediated inhibitory pathway was identified that links cytokinin signaling and the pluripotency pathway during shoot regeneration.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".