Bibliographic record
Abstract
Al was shown to elicit the induction of several pathogenesis-related genes, suggesting that a common signalling pathway may be involved in the early response to Al and pathogens. However, we found no evidence of oxidative burst involving either H2O2 or O2- during the first hours of Al exposure distinguishing the early response to Al from a common response to pathogen infection. We identified a strong superoxide dismutase insensitive nitro blue tetrazolium (NBT) reduction activity in the root tips of control plants. This activity was rapidly inhibited by Al exposure in the meristematic/distal transition zones of roots in all species examined. In wheat (Triticum aestivum), the inhibition of NBT reduction occurred in less than 1 min in vivo suggesting that Al either directly blocks an enzyme responsible for NBT reduction, or affects a signal pathway involved in the regulation of this activity. The sensitivity of NBT reduction to KCN and NaN3 suggests that an enzymatic, rather than a chemical reaction is involved. In tolerant plants, the inhibition of NBT reduction caused by Al was reversed within 24 h of exposure. The level of recovery was a function of the degree of Al tolerance. We show that NBT reduction is a simple biochemical marker allowing the rapid identification of tolerant individuals within a segregating population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".