Uptake and allocation of carbon and nitrogen in Vicia narbonensis plants with increased seed sink strength achieved by seed-specific expression of an amino acid permease
Bibliographic record
Abstract
Over-expressing an amino acid permease in Vicia narbonensis seeds increases sink strength for N that is evident from the higher seed protein content and seed weight. Here, the effect of increased seed sink strength of line AAP-12 on growth, development, and on whole plant carbon and nitrogen uptake and partitioning is analysed. AAP-12 plants have a prolonged growth period. Accumulation and partitioning of dry matter and N in leaves, stems, and pods are higher whereas remobilization to the seeds is delayed, indicating that the switch from growth to reserve allocation and remobilization is delayed. Measuring uptake and allocation of (15)N-ammonia applied via the roots revealed a higher and longer label uptake period during maturation. Measuring whole plant carbon fixation and allocation after (13)C labelling shows higher levels at maturation, particularly in seeds, indicating higher seed sink strength for C and increased allocation into maturing seeds. Levels of cytokinins were dramatically increased in AAP-12 seeds indicating its role in nitrogen-mediated growth stimulation. AAP-12 seeds have higher natural abundances for (13)C indicating increased C fixation via PEP carboxylase in order to meet the higher demand of carbon acceptors for amino acid synthesis. In summary, increased seed sink strength for N in AAP-12 stimulates seed growth, but also that of vegetative organs, which finally leads to a higher ratio of vegetative to seed biomass at maturity and thus a lower harvest index. Therefore, the increased N uptake due to higher seed demand of AAP-12 is partly compensated by growth stimulation of vegetative organs.
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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".