Role of <i>Pseudomonas aeruginosa</i> Dnr-regulated denitrification in oxic conditions
Bibliographic record
Abstract
Abstract Pseudomonas aeruginosa causes acute and chronic infections such as those that occur in the lungs of people with cystic fibrosis (CF). In infection environments, oxygen (O 2 ) concentrations are often low. The transcription factor Anr responds to low O 2 by upregulating genes necessary for P. aeruginosa fitness in microoxic and anoxic conditions. Anr regulates dnr , a gene encoding a transcriptional regulator that promotes the expression of genes required for using nitrate as an alternative electron acceptor during denitrification. In CF sputum, transcripts involved in denitrification are highly expressed. While Dnr is necessary for the anoxic growth of P. aeruginosa in CF sputum and artificial sputum media (ASMi), the contribution of denitrification to P. aeruginosa fitness in oxic conditions has not been well described. Here we show that P. aeruginosa requires dnr for fitness in ASMi and the requirement for dnr is abolished when nitrate is excluded from the media. Additionally, we show that P. aeruginosa consumes nitrate in lysogeny broth (LB) under microoxic conditions. Furthermore, strains without a functioning quorum sensing regulator LasR, which leads to elevated Anr activity, consume nitrate in LB even in normoxia. There was no growth advantage for P. aeruginosa when nitrate was present at concentrations from 100 µM to 1600 µM. However, P. aeruginosa consumption of nitrate in oxic conditions created a requirement for Dnr and Dnr-regulated NorCB likely due to the need to detoxify nitric oxide. These studies suggest that Anr- and Dnr-regulated processes may impact P. aeruginosa physiology in many common culture conditions. Importance Pseudomonas aeruginosa is an opportunistic pathogen commonly isolated from low-oxygen environments such as the lungs of people with cystic fibrosis. While the importance of P. aeruginosa energy generation by denitrification is clear in anoxic environments, the effects of denitrification in oxic cultures is not clear. Here, we show that nitrate is consumed even in oxic environments and while it does not appear to stimulate growth, it does impact fitness. Further, we report that two regulators that are best known for their roles in anoxic conditions also contribute to P. aeruginosa fitness in commonly- used laboratory media in presence of oxygen.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".