Elevated tyrosine results in the cytosolic retention of 3‐deoxy‐<scp>d</scp>‐arabino‐heptulosonate 7‐phosphate synthase in<i>Arabidopsis thaliana</i>
Bibliographic record
Abstract
The shikimate pathway plays a central role in the biosynthesis of aromatic amino acids and specialized metabolites in plants. The first enzyme, 3-deoxy-d-arabino-heptulosonate 7-phosphate synthase (DAHPS) serves as a key regulatory point for the pathway in various organisms. These enzymes are important in regulating the shikimate pathway in multiple microbial systems. The mechanism of regulation of DAHPS is poorly understood in plants, and the role of tyrosine (Tyr) with respect to the three DAHPS isozymes from Arabidopsis thaliana was investigated. In vitro enzymatic analyses established that Tyr does not function as an allosteric regulator for the A. thaliana DAHPS isozymes. In contrast, Arabidopsis T-DNA insertional mutants for the DAHPS1 locus, dahps1, are hypersensitive to elevated Tyr. Tyr hypersensitivity can be reversed with tryptophan and phenylalanine supplementation, indicating that Tyr is affecting the shikimate pathway flux in the dahps1 mutant. Tyr treatment of Arabidopsis seedlings showed reduced accumulation of overexpressed DAHPS2 in the chloroplast. Further, bimolecular fluorescence complementation studies revealed that DAHPS2 interacts with a 14-3-3 protein in the cytosol, and this interaction is enhanced with Tyr treatment. This interaction with 14-3-3 may retain DAHPS2 in the cytosol, which prevents its ability to function in the chloroplast with elevated Tyr.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".