Expression of Ibvpe1 from Sweet Potato in Arabidopsis Affects Leaf Development, Flowering Time and Chlorophyll Catabolism
Bibliographic record
Abstract
Leaf development is controlled by complex networksof hormones, enzymes, transcription factors, and microRNA. Plant senescence is a major and essential process for plant development, andleaf senescence is avisibleindictorof plant aging. Vacuolar processing enzymes (VPEs)are cysteine proteinases with functionsin the processing ofvacuolar proteins and the maturation of seed storage proteins.Since their discovery, VPEshave consistently been investigated asprogrammed cell death (PCD) initiatorsand participants in plant development and responses to biotic or abiotic stresses, in part due to similarities withthe apoptosis regulator caspase-1.However, recent studies show additional functions of VPE in tomatoes,specifically in sucrose accumulation and fruit ripening, but little is known about PCD-unrelated functions of VPE during plant growth.Herein, we evaluated thefunctions of VPE fromsweetpotato, initially in expression pattern analyses of IbVPE1 during development and senescence. Subsequently,weidentified physiological functions by overexpressing IbVPE1in Arabidopsisthaliana, and showed reduced leaf sizes and numbers and early flowering, and elucidated the underlying molecular mechanisms. The results showed that IbVPE1 affects leaf development and flowering times by regulating several TCP transcript factors and AP1,IbVPE1 accelerates chlorophyll breakdown during dark-induced senescence.The present data demonstrate functions of the VPE gene family in development and senescence andin regulation of flowering times, leaf sizes and numbers, and senescence phenotypes in Arabidopsis thaliana.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".