Involvement of polyamines in the interacting effects of low temperature and mineral supply on Pringlea antiscorbutica (Kerguelen cabbage) seedlings
Bibliographic record
Abstract
Pringlea antiscorbutica, which is the sole endemic crucifer in the subantarctic zone, undergoes seedling development in a harsh and cold environment. Since, at the mature stage, this species exhibits several adaptations linked to cold tolerance such as high polyamine levels, potential adaptations and polyamine response were investigated in seedlings. In order to assess the specificity of responses, P. antiscorbutica was compared with Arabidopsis thaliana, which is characterized by a life cycle preventing cold exposure at seedling stage. P. antiscorbutica and A. thaliana seedlings were found to have strikingly contrasted responses to temperature changes and to mineral nutrition. Whereas A. thaliana seedlings showed the typical growth arrest of chilling-sensitive plants, P. antiscorbutica seedlings showed optimal root growth at low temperature (5/10 degrees C) and temperate conditions caused the early arrest of root growth. Cold tolerance was associated with increased levels of polyamines or with maintenance of high levels of polyamines. Comparison of both species showed that polyamine levels could be a significant marker of chilling tolerance in seedlings. Treatments with varying mineral supply showed a positive relationship between root growth rate and variations of agmatine and putrescine endogenous contents in roots of P. antiscorbutica. This may be the first demonstration that, even under conditions of accumulation induced by environmental stress, polyamine levels can still be correlated with developmental processes. Com parison of mineral supply and temperature effects strongly indicated a trade-off of polyamine involvement between development and response to 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) | 0.001 | 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".