A cassava drought inducible CC-type glutaredoxin, <i>MeGRX232</i> , negatively regulates drought tolerance in <i>Arabidopsis</i> by inhibition of ABA-dependent stomatal closure
Bibliographic record
Abstract
Abstract CC-type glutaredoxins (GRXs) are a land plant-specific GRX subgroup that evolved from CGFS GRXs, and participate in organ development and stress responses through the regulation of transcription factors. Here, genome-wide analysis identified 18 CC-type GRXs in the cassava genome, of which six ( MeGRX058, 232, 360, 496, 785 , and 892 ) were induced by drought and ABA stress in cassava leaves. Furthermore, we found that overexpression of MeGRX232 results in drought hypersensitivity in soil-grown plants, with a higher water loss rate, but with increased tolerance of mannitol and ABA in Arabidopsis on the sealed agar plates. The ABA induced stomatal closure is impaired in MeGRX232-OE Arabidopsis . Further analysis reveals that the overexpression of MeGRX232 leads to more ROS accumulation in guard cells. MeGRX232 can interact with TGA5 from Arabidopsis and MeTGA074 from cassava in vitro and in vivo . The results of microarray assays show that MeGRX232-OE affected the expression of a set of drought and oxidative stress related genes. Taken together, we demonstrated that CC-type GRXs involved in ABA signal transduction and play roles in response to drought through regulating stomatal closure. Novelty statement: We found that drought and ABA stress induced the transcription of CC-type glutaredoxins (GRXs) in cassava leaves. Ectopic expression of one of them, MeGRX232 in Arabidopsis affected the sensitivity to abscisic acid (ABA) and mannitol, and caused drought hypersensitivity by impairment of ABA-dependent stomatal closure.
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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".