Involvement of type-<i>f</i> thioredoxins during germination and early seedling development and in response to oxidative stress in <i>Arabidopsis thaliana</i>
Bibliographic record
Abstract
Thioredoxins (TRXs) are important components of redox-regulated systems involved in maintaining and regulating the cellular redox environment during growth and development and in response to abiotic and biotic stresses. Plants possess several types of TRX localized in various compartments, including five different types of chloroplastic TRXs. Arabidopsis thaliana contains two chloroplastic type-f TRXs, TRX f1 and TRX f2, involved in the regulation of light-dependent activation of photosynthesis and carbon metabolism. However, little is known about their role during development and in response to stress. We used single and double mutants of TRX f1 and TRX f2 to assess their roles during seed germination and seedling development. Loss of both TRX f1 and TRX f2 induced faster germination and seedling development associated with reduced sensitivity to abscisic acid. This suggests that type-f TRXs negatively regulate seed germination and seedling development. Moreover, double-mutant seedlings were more sensitive to methyl viologen and UV-C irradiation than the wild-type seedlings, indicating that loss of type-f TRXs increases sensitivity to oxidative stress. Overall, these results indicate that type-f TRXs contribute to maintaining an adequate cellular environment required for a tight regulation of germination and a better tolerance to oxidative stress.
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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) | 0.000 | 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 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".