Enhanced zinc and cadmium tolerance and accumulation in transgenic <i>Arabidopsis</i> plants constitutively overexpressing a barley gene (<i>HvAPX1</i>) that encodes a peroxisomal ascorbate peroxidase
Bibliographic record
Abstract
Ascorbate peroxidase (APX) plays an important role in oxidative stress metabolism in higher plants. To determine the role of APX in protection against excessive-zinc-induced oxidative stress, transgenic Arabidopsis plants constitutively overexpressing a peroxisomal ascorbate peroxidase gene (HvAPX1) from barley were analyzed. In this study, we found that transgenic plants were more tolerant to zinc stress than wild-type plants. Under zinc stress, the concentration of hydrogen peroxide and malondialdehyde accumulation were higher in wild-type plants than in transgenic plants. Therefore, the mechanism of zinc tolerance in transgenic plants may be due to reduced oxidative stress damage. Under zinc stress, the activities of APX were significantly higher in transgenic plants than in wild-type plants. We also found that the zinc accumulation in the shoots were much higher in transgenic plants than in wild-type plants under zinc stress. In addition, we found that compared with wild-type plants, transgenic plants were more tolerant to excessive cadmium stress and accumulated more cadmium in shoots. These results suggest that HvAPX1 plays an important role in zinc and cadmium tolerance, and might be a candidate gene for developing high-biomass tolerant plants for phytoremediation of zinc- and cadmium-polluted environments.
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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".