<i>Arabidopsis</i> fructokinase-like protein associations are regulated by ATP
Bibliographic record
Abstract
The Arabidopsis thaliana fructokinase-like proteins FLN1 and FLN2 are required for the differentiation of plastids into photosynthetically competent chloroplasts. However, their specific roles are unknown. FLN1 and FLN2 localize in a multisubunit prokaryotic-type polymerase (plastid-encoded RNA polymerase) complex that transcribes genes encoding components of photosynthesis-related assemblies. Despite sequence identity with fructokinases, which are members of the pfkB (phosphofructokinase B) family of enzymes, kinase activity of FLN1 and FLN2 has not been demonstrated. Homology modeling using pfkB X-ray structures, sequence comparisons, and mutational analyses suggests that FLN proteins may bind their substrates differently from other pfkB proteins. We provide evidence that purified recombinant FLN1 undergoes an ATP-mediated change in binding affinity with both itself and recombinant FLN2. The ATP-mediated change in the affinity of FLN1 for FLN2 is not affected by mutations in conserved active-site residues known to affect catalysis in active pfkB enzymes. In contrast, recombinant FLN2 hetero-oligomerizes independently of ATP concentration. At ATP concentrations that promote FLN1 homomeric interactions, the FLN1–FLN2 hetero-oligomer is the dominant form in vitro. We further present evidence that FLN1 associates with a large protein complex in chloroplasts independently of ATP. Given that ATP levels fluctuate between light–dark cycles in the 1–5 mM range, we propose that changes in FLN1 and FLN2 interactions are biologically meaningful.
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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 | 0.001 | 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".