Reappraisal of nitrogen use efficiency in rice overexpressing <i>glutamine synthetase1</i>
Bibliographic record
Abstract
Cytosolic glutamine synthetase (GS1) is responsible for the primary assimilation of ammonia, and a role in nitrogen (N) remobilization is implicated from its vascular localization and enhanced expression during senescence. This paper tested the hypothesis that overexpression (OX) of GS1 in rice improves utilization N use efficiency (UtE = spikelet yield/shoot N content). Three GS1 OX lines were identified using activity assays and quantitative polymerase chain reaction. Physiological analysis of the OX lines, as well as azygous and wild-type (Wt) controls, was conducted with mature plants after growth under varying nitrate conditions (non-limiting N, limiting N, transfer from non-limiting N to limiting N at panicle emergence) and growth environments (growth chamber vs greenhouse). Overall, OX lines did not differ from azygous controls in vegetative yield or shoot N content. In two of the three growth trials (i.e. the growth chamber trials) harvest index, N harvest index (spikelet N content/shoot N content) and UtE were generally enhanced in the OX lines relative to their azygous controls. These characteristics were highly correlated with percent spikelets filled and spikelet number. Thus, N partitioning in rice during grain filling could be altered by GS1 OX, resulting in improved UtE. Unfortunately, GS OX did not result in more efficient use of N under limiting N than under non-limiting N, and is therefore unlikely to result in the use of less N under field conditions. Transformation effects significantly hindered the productivity of the OX lines, but backcrossing to the Wt should overcome this.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".