Exposure of<i>Bacillus subtilis</i>to silver inhibits activity of cytochrome<i>c</i>oxidase<i>in vivo via</i>interaction with SCO, the Cu<sub>A</sub>assembly protein
Bibliographic record
Abstract
Silver has long been used as an antimicrobial agent in general and medicinal use. Here, we observe that exposure of the Gram-positive, endospore-forming bacterium Bacillus subtilis to Ag(i) effects growth in a biphasic manner. In the first phase at Ag(i) concentrations below 50 μM B. subtilis growth is not affected, but activity of the respiratory enzyme cytochrome c oxidase is disrupted completely. Between 50 to 100 μM Ag(i) B. subtilis growth is drastically diminished and completely absent above 100 μM Ag(i). Synthesis of cytochrome c oxidase, or SCO proteins, have been shown to play a role in assembly of the CuA center of cytochrome c oxidase and we suppose that the effects observed here of silver on Bacillus subtilis in culture may be explained at least in part by the interaction of Bacillus SCO (BsSCO) with Ag(i). We find that Ag(i) forms a high affinity complex with BsSCO in vitro that blocks SCO's interaction with copper indicating competition between the metals for binding BsSCO. The interaction of BsSCO with Ag(i) exhibits multiple phases and is more complex than that observed for the high-affinity, 1 : 1 copper complex with BsSCO. We propose that the initial response of B. subtilis cultures is due to high affinity binding of Ag(i) to BsSCO that blocks the functionality of BsSCO required for assembly of cytochrome c oxidase. Our results provide evidence of a specific effect of silver on Bacillus subtilis cells and implies that SCO proteins play a role in sensitivity to Ag(i).
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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) | 0.001 | 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".