Characterization of<i>copABCD</i>operon from a copper-sensitive<i>Pseudomonas</i><i>putida</i>strain
Bibliographic record
Abstract
We describe an operon, copABCD, that encodes copper-binding and sequestering proteins for copper homeostasis in the copper-sensitive strain Pseudomonas putida PNL-MK25. This is the second operon characterized as being involved in copper homeostasis, in addition to a P1-type ATPase encoded by cueAR, which was previously shown to be active in the same strain. In this study, 3 copper-responsive mutants were obtained through mini-Tn5::gfp mutagenesis and were found to exhibit reduced tolerance to copper. Sequencing analysis of the transposon-tagged region in the 3 mutants revealed insertions in 2 genes of an operon homologous to the copABCD of P. syringae and pcoABCD of Escherichia coli. Gene expression studies demonstrated that the P. putida copABCD is inducible starting from 3 micromol/L copper levels. Copper-sensitivity studies revealed that the tolerance of the mutant strains was reduced only marginally (only 0.16-fold) in comparison to a 6-fold reduced tolerance of the cueAR mutant. Thus, the cop operon in this strain has a minimal role when compared with its role both in other copper-resistant strains, such as P. syringae pv. syringae, and in the cueAR operon of the same strain. We propose that the reduced function of the copABCD operon is likely to be due to the presence of fewer metal-binding domains in the encoded proteins.
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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 | 0.001 |
| 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".