Regulation of pyrimidine ribonucleoside salvage metabolism in <i>Pseudomonas putida</i> ATCC 17536
Bibliographic record
Abstract
Pyrimidine base and ribonucleoside salvage metabolism was investigated in Pseudomonas putida ATCC 17536 cells. In ATCC 17536 cell extracts, the pyrimidine ribonucleoside salvage enzymes nucleoside hydrolase and cytosine deaminase activities were measurable, while uridine phosphorylase activity was not. Carbon and nitrogen sources influenced the levels of the salvage pathway enzyme activities in P. putida ATCC 17536. Catabolite repression by a glucose metabolite of nucleoside hydrolase and cytosine deaminase synthesis in ATCC 17536 cells compared to cells grown on the carbon source succinate or ribose was observed, while a nitrogen metabolite appeared to be controlling pyrimidine salvage enzyme synthesis. When glucose was the carbon source, ATCC 17536 cells grown on uracil or 5-methylcytosine as a nitrogen source caused at least a five-fold increase in hydrolase and deaminase synthesis relative to their activities in ammonium sulfate-grown cells. In succinate-grown ATCC 17536 cells, thymine or 5-methylcytosine as a nitrogen catabolite produced at least double the hydrolase or deaminase activity relative to either activity in ammonium sulfate-grown cells. Overall, the pyrimidine base and ribonucleoside salvage enzymes in P. putida ATCC 17536 biovar B cells were regulated by the carbon or nitrogen source with pyrimidine salvage metabolism differing in biovar A and B strains.
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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 | 0.001 |
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".