High content of cytosolic glutamine synthetase does not accompany a high activity of the enzyme in rice (Oryza sativa) leaves of indica cultivars
Bibliographic record
Abstract
Reproductive stages of 5 japonica, 9 indica, and 2 javanica cultivars of rice (Oryza sativa L.) were provided to compare the contents of protein for cytosolic glutamine synthetase (GS1; EC 6.3.1.2) in the lowest position of the attached leaf blade (position 6 from the primary leaf) and those for NADH-glutamate synthase (NADH-GOGAT; EC 1.4.1.14) in non-green portion of the expanding 10th leaf blade. Some of the indica cultivars, including Kasalath, contained GS1 protein twice as high as other japonica and javanica cultivars based on total leaf nitrogen. Most of the indica cultivars, on the other hand, contained less NADH-GOGAT protein than japonica and javanica cultivars. Immunostaining proved that GS1 protein was located in vascular tissues of the leaf blades of Kasalath, which was identical to our previous results with a japonica cultivar [Sakurai et al. (1996) Planta 200: 306–311]. Although relative contents of GS1 protein in the leaf blade of Kasalath increased as a function of leaf age, GS1 activity remained relatively constant. In addition, Kasalath showed lower activity than other japonica and javanica cultivars, especially during leaf expansion. GS1 activity, based on GS1 protein amount, changed during the life span of the leaf blade and we thus assume that GS1 activity was modulated post-translationally in rice leaves.
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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".