<i>CsAAP7.2</i> is involved in the uptake of amino acids from soil and the long-distance transport of theanine in tea plants (<i>Camellia sinensis</i> L.)
Bibliographic record
Abstract
Tea plant roots can uptake both inorganic nitrogen (NH4+ and NO3-) and organic nitrogen (amino acids) from the soil. These amino acids are subsequently assimilated into theanine and transported to young shoots through the xylem. Our previous study showed that CsLHT1 and CsLHT6 transporters take up amino acids from the soil, and CsAAPs participate in the transport of theanine. However, whether other amino acid transporters are involved in this process remains unknown. In this study, we identified two new CsAAPs homologous to CsAAP7, named CsAAP7.1 and CsAAP7.2. Heterologous expression of CsAAP7.1 and CsAAP7.2 in the yeast mutant 22Δ10α showed that CsAAP7.2 had the capacity to transport theanine and other amino acids, whereas CsAAP7.1 had no transport activity. Transient expression of the CsAAP7.2-GFP fusion protein in tobacco leaf epidermal cells confirmed its localization to the endoplasmic reticulum. Tissue-specific analysis showed that CsAAP7.2 was highly expressed in roots and stems. In addition, CsAAP7.2 overexpression lines were more sensitive to high concentrations of theanine due to the high accumulation of theanine in seedlings. Taken together, these findings suggested that CsAAP7.2 plays an important role in the uptake of amino acids from soil and the long-distance transport of theanine. These results provide valuable tools for nitrogen nutrition studies and enrich our understanding of theanine transport in tea plants.
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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) | 0.001 | 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".