Effect of zinc on proline metabolism under iron stress in wheat seedlings
Bibliographic record
Abstract
The effects of different ZnCl2concentrations(50,250μmol·L-1 and 2 mmol·L-1)on proline content and the activities of proline related to metabolism enzymes are investigated in Xi Han wheat seedlings when exposed to 300μmol·L-1 FeCl3.The results show that proline content and ornithineδ-aminotransferase(OAT)activity due to single Fe stress significantly elevate as compared with the control,but both proline dehydrogenase(PDH)and glutamate kinase(GK)activities decrease in wheat roots and leaves under Fe treatment.The application of different Zn concentrations results in reduction of proline accumulation as well as inhibition of OAT and GK activities in roots and leaves of Fe-treated wheat;50or250μmol·L-1 Zn together with Fe induce an increase in PDH activity as compared with the single Fetreated wheat roots and leaves,while this enzyme in wheat leaves is inhibited in response to 2mmol·L-1Zn combined with Fe treatment.In conclusion,these results indicate that the elevation of proline content induced by Fe stress is correlated with the increase of OAT activity and the decrease of PDH activity in wheat roots and leaves;Zn applied leads to the decrease of proline content under Fe stress,which may be associated with the decrease of OAT activity and the elevation of PDH activity in wheat seedlings under Zn in combination with Fe treatment.
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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) | 0.001 | 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 | 0.001 |
| 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".