The olsA gene mediates the synthesis of an ornithine lipid in Pseudomonas aeruginosa during growth under phosphate-limiting conditions, but is not involved in antimicrobial peptide susceptibility
Bibliographic record
Abstract
Pseudomonas aeruginosa responds to phosphate limitation by inducing the expression of phosphate transport systems, phosphatases, hemolysins and a DNase, many of which are important for virulence. Here we report that under phosphate-limiting conditions, P. aeruginosa produces a phosphate-free ornithine lipid (OL) as the primary membrane lipid. The olsBA (PA4350-PA4351) genes were highly induced under phosphate-limiting conditions. The production and structure of the OL was confirmed by MS, revealing diagnostic fragment ions and mainly C16 : 0 and C18 : 1 dialkyl chains. It was shown that olsA is required for production of these lipids and genetic complementation of the olsA∷lux mutant restored OL production. Studies in other bacteria have correlated increased resistance to antimicrobial peptides with the production of OLs. Here it was demonstrated that resistance to antimicrobial peptides increased under phosphate-limiting conditions, but OLs were not required for this increased resistance. OL production was also not required for virulence in the Caenorhabditis elegans infection model. The production of OLs is a strategy to reduce phosphate utilization in the membrane, but mutants unable to produce OLs have no observable phenotype with respect to growth, antibiotic resistance or virulence.
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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".