Streptomyces coelicolor Polynucleotide Phosphorylase Can Polymerize Nucleoside Diphosphates under Phosphorolysis Conditions, with Implications for the Degradation of Structured RNAs
Bibliographic record
Abstract
We have examined the ability of wild-type polynucleotide phosphorylase (PNPase) from Streptomyces coelicolor and two mutant forms of the enzyme, N459D and C468A, to function in the polymerization of ADP and in the phosphorolysis of RNA substrates derived from the S. coelicolor rpsO-pnp operon. The wild-type enzyme was twice as active in polymerization as N459D and four times as active as C468A. The kcat/Km value for phosphorolysis of a structured RNA substrate by N459D was essentially the same as that observed for the wild-type enzyme, while C468A was 50% as active with this substrate. A mixture of all four common nucleoside diphosphates increased the kcat/Km for phosphorolysis of the structured substrate by the wild-type enzyme by a factor of 1.7 but did not affect phosphorolysis catalyzed by N459D or C468A. We conducted phosphorolysis of the structured substrate in the presence of nucleoside diphosphates and labeled the 3' ends of the products of those reactions using [(32)P]pCp. Digestion of the end-labeled RNAs and display of the products on a sequencing gel revealed that wild-type S. coelicolor PNPase was able to synthesize RNA 3' tails under phosphorolysis conditions while the N459D and C468A mutants could not. The wild-type enzyme did not add 3' tails to a substrate that already possessed an unstructured 3' tail. We propose a model in which the transient synthesis of 3' tails facilitates the phosphorolysis of structured substrates by Streptomyces PNPase.
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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) | 0.001 | 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".