Physiological analysis of nitrogen-efficient rice overexpressing alanine aminotransferase under different N regimes
Why this work is in the frame
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Bibliographic record
Abstract
Cereal crop plants have low nitrogen (N) use efficiency, taking up only 30% to 50% of the applied N fertilizers, with the rest having the potential for loss into the environment as N pollution. One way to address this problem is to improve the nitrogen use efficiency of cereal crops using a transgenic approach. We developed alanine aminotransferase overexpressing rice, and we have previously determined that this modification provided an improved nitrogen-use phenotype to the engineered plants. In this study, the transgenic rice were grown in low, medium, and high nitrogen supply, and morphology, plant N levels, enzymatic activity, metabolite levels, and transcriptome response in the roots and shoots at active and maximum tillering at each N level were measured. The transcriptome response was analysed further using MapMan and PageMan to view multiple comparisons. The transgenic rice plants showed improved nitrogen use efficiency at medium and high N supply, but with few significant changes to the amino acid levels or to the transcriptome. The transgenic plants grown in high N showed up-regulation of transcripts associated with photosynthesis, non-melavonate pathway secondary metabolites, protein degradation, and many unknown function transcripts.
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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 | 0.001 |
| 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 it