Biochemical characterization of a unique cytokinin and nucleotide phosphoribohydrolase Lonely Guy protein from Dictyostelium discoideum
Bibliographic record
Abstract
Lonely guy (LOG) proteins are phosphoribohydrolases (PRHs) that are key cytokinin (CK)-activating enzymes in plant and non-plant CK-producing organisms. During CK biosynthesis, LOGs catalyze the conversion of precursor CK-nucleotides (CK-NTs) to biologically active free base forms. LOG/PRH activity has been detected in bacteria, archaea, algae, and fungi. However, in these organisms, the LOG/PRH activity for CK-NTs and non-CK-NTs (e.g., adenine-NTs) has not been assessed simultaneously, which leaves limited knowledge about the substrate specificity of LOGs. Thus, we performed bioinformatic analyses and a biochemical characterization of a LOG ortholog from Dictyostelium discoideum , a soil-dwelling amoeba, which produces CKs during unicellular growth and multicellular development. We show that Dd Log exhibits LOG/PRH activity on two CK-NTs, N 6 -isopentenyladenosine-5′-monophosphate (iPMP) and N 6 -benzyladenosine-5′-monophosphate (BAMP), and on adenosine 5′-monophosphate (AMP) but not on 3′, 5′-cyclic adenosine-monophosphate (cAMP). Additionally, there were higher turnover rates for CK-NTs over AMP. Together, these findings confirm that Dd Log acts as a CK-activating enzyme; however, in contrast to plant LOGs, it maintains a wider specificity for other substrates (e.g., AMP) reflecting it has maintained its original, non-CK related role even after diversifying into a CK-activating enzyme. • Dictyostelium discoideum encodes an ortholog of the cytokinin-activating enzyme, Lonely guy. • Dd Log has activity towards cytokinin-nucleotides and adenine monophosphate. • Dd Log has a wider substrate specificity than Log proteins from other organisms. • We propose that Dd Log diversified its early role to include cytokinin activation.
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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) | 0.000 | 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 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".