A novel nicotine catabolic plasmid pMH1 in <i>Pseudomonas</i> sp. strain HF-1
Bibliographic record
Abstract
Attempts were made to acquire a plasmid-loss mutant via various methods (spontaneous mutation, SDS, and mitomycin C), among which the method involving mitomycin C (10 microg/mL) has been proven successful. Concomitant with the loss of the plasmid in Pseudomonas sp. strain HF-1, the cured derivative was identified as having a nicotine-negative (Nic-) phenotype, named mutant strain 6-13 (Nic-). After plasmids were transferred from strain HF-1 (named plasmid pMH1) to the mutant strain 6-13, the mutant strain acquired nicotine-degrading ability, called 6-13 transformant (Nic+). There were no differences in growth or nicotine-degrading efficiency between strain HF-1 (wild-type strain) and strain 6-13 transformant. After pMH1 was transferred to Escherichia coli strain Top10 (Nic-), a distant relative of Pseudomonas, it also gained nicotine-degrading ability, showing the highest nicotine degradation efficiency at pH 7.0, the optimal pH for growth of E. coli. The hsp gene, which encodes 6-hydroxy-3-succinoylpyridine hydroxylase, is involved in nicotine degradation in Pseudomonas putida strain S16 and was present in pMH1 but not in pAO1, the well-known nicotine degradation plasmid in Arthrobacter nicotinovorans. It was demonstrated that plasmid pMH1 is a novel nicotine-degrading plasmid.
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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".