Change in the Redox State of Glutathione Regulates Differentiation of Tracheary Elements in Zinnia Cells and Arabidopsis Roots
Bibliographic record
Abstract
Exogenously applied GSH and GSSG can control the in vitro differentiation of mesophyll cells to tracheary elements (TEs) in Zinnia elegans, and de novo GSH synthesis is essential for the early differentiation. The purpose of the present study is to address how GSH and GSSG control TE differentiation. GSSG transiently accumulated during the in vitro TE differentiation and exogenously applied GSSG down-regulated transcript levels of GSSG reductase (GR), an enzyme maintaining glutathione in a reduced redox state, while there were no significant changes in transcript levels of enzymes involved in GSH synthesis. Transgenic Arabidopsis overexpressing the GR gene showed delayed TE formation in the root, which was attributed to the suppression of cell division. Exogenously applied GSH had an effect similar to overexpression of the GR gene. These findings suggest that reduced states of glutathione suppress TE differentiation. In wild-type Arabidopsis, TE formation was promoted by application of GSSG at an appropriate concentration, but was suppressed at higher concentrations. A T-DNA-inserted knockout mutant of cytosolic GR exhibited delayed TE formation; this phenotype was little affected by GSSG application. Taken together, the process of the redox changes in glutathione is considered to be controlled via GR activity for TE differentiation.
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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 | 0.000 |
| 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) | 0.000 | 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".