Comparisons of the<i>Arabidopsis thaliana</i>High-affinity Nitrate Transporter Complex AtNRT2.1/AtNAR2.1 and the<i>Aspergillus nidulans</i>AnNRTA: structure function considerations
Bibliographic record
Abstract
The high-affinity nitrate transporter of green plants is composed of two polypeptides, NRT2.1 and NAR2.1, while in fungi it appears that nitrate influx is mediated by NRT2 alone. Another difference between plants and fungi is that the central (cytoplasmic) loop of the 12 membrane spanning regions of NRT is quite large in fungi, consisting of 91 amino acid residues, compared with the relatively short (21 amino acid residues) plant NRT2.1. Here we examine potential amino acid residues involved in the plant NRT2.1:NAR2.1 association by mutation of conserved amino acids in Arabidopsis thaliana AtNRT2.1. Only the replacement of leucine 85 by glutamine disrupted the association between AtNRT2.1 and AtNAR2.1, as examined using the yeast two-hybrid system. Further, to investigate the nitrate-transporting function of AtNRT2.1 in a context free of other members of the NRT2 family, we expressed AtNRT2.1 in Aspergillus nidulans. In the fungal context the plant NRT alone was capable of restoring nitrate transport to a nitrate transport defective mutant, but only when the AtNRT2.1 central loop was replaced by its fungal counterpart.
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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".