Partitioning of respiratory electrons in the dark in leaves of transgenic tobacco with modified levels of alternative oxidase
Bibliographic record
Abstract
This study examined tobacco (Nicotiana tabacum cv. Petit Havana SR1) leaf respiration in the dark, utilizing both wild‐type plants and transgenic plants with increased or decreased levels of alternative oxidase (AOX) protein. AOX represents a non‐energy‐conserving branch in mitochondrial electron transport. Inhibitor studies showed that the maximum possible flux of electrons to AOX (AOX capacity) correlated with the level of AOX protein present in the different plant lines. A comparison of the plants using online 18O isotope discrimination was done to determine whether AOX protein level would impact the actual steady‐state partitioning of electrons to AOX (AOX engagement). Under a range of pretreatment and measurement conditions, there was little if any effect of AOX protein level on the degree of engagement. This suggests that the metabolic conditions inherent to a particular growth condition and/or the biochemical regulatory properties of AOX itself are the critical factors that control partitioning. Interestingly, we found that measurement temperature and water status are parameters that may have some influence over AOX engagement.
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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 | 0.001 |
| 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".