Molecular properties of the putative nitrogen sensor PII from <i>Arabidopsis thaliana</i>
Bibliographic record
Abstract
Although the signal sensing protein PII is well known to play a central role in bacterial nitrogen metabolism, the structure and function of PII in plants remains only partially understood. Comparative modeling was undertaken based on the high degree of amino acid identity between Escherichia coli and Arabidopsis PII. The mature Arabidopsis PII predicted structure superimposes very well onto the E. coli PII structure (Calpha root mean square deviation < 0.4 A). The model of the highly conserved T-loop suggests a molecular mechanism by which the plant PII may regulate putative post-translational modification in response to metabolite binding. Consistent with the presence of key conserved residues necessary for trimer formation, gel filtration showed the oligomeric structure of Arabidopsis thaliana PII to be a homotrimer. We have demonstrated that Arabidopsis PII binds to the small molecules, ATP, ADP, 2KG, and with lesser affinity to OAA, using isothermal titration calorimetry. We have determined the metabolite dissociation constants and compared these with known physiological concentrations of these metabolites in the plant to identify the Arabidopsis PII effector molecules and their possible roles. We predict that the plant PII is likely continually bound by ATP, and its ligand-bound state only varying with respect to the degree of 2KG binding. Based on our in vitro binding studies, the function of plant PII as a 2KG sensor is suggested.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".