High-level antibiotic resistance in Pseudomonas aeruginosa biofilm: the ndvB gene is involved in the production of highly glycerol-phosphorylated -(1->3)-glucans, which bind aminoglycosides
Bibliographic record
Abstract
Pseudomonas aeruginosa is an opportunistic pathogen that affects immunocompromised individuals and causes life-threatening infections in cystic fibrosis (CF) patients. Colonization of CF lung by P. aeruginosa involves a biofilm mode of growth, which is promoted by the production of exopolysaccharides. These polymers are essential components of the extracellular biofilm matrix. P. aeruginosa possesses several clusters contributing to the formation of the matrix, including the pel or psl genes. In the present study, we identified anionic cyclic glucans produced by P. aeruginosa, which are associated with the matrix of strains PAKDeltaretS and PA14. Their structure has been elucidated using chemical analysis, 1- and 2D nuclear magnetic resonance techniques and mass spectrometry. They belong to a family of cyclic beta-(1-->3)-linked glucans of 12-16 glucose residues with 30-50% of glucose units substituted by 1-phosphoglycerol at O-6. These glucans were also recovered in pel mutant strains, which indicated that their biosynthesis was pel independent. In an effort to understand the biogenesis of these glucans, we analyzed the matrix components of a previously characterized P. aeruginosa PA14 mutant, the PA14::ndvB mutant strain. The ndvB gene was predicted to be involved in the synthesis of perisplasmic glucans, capable of physically interacting with aminoglycoside antibiotics. We revealed that the highly glycerol-phosphorylated beta-(1-->3)-glucans are lacking in the ndvB mutant, and we showed that these glucans are capable of direct binding with the aminoglycoside antibiotic kanamycin. This observation fills a gap in our understanding of the relationship between biofilm, cyclic glucans and high-level antibiotic resistance.
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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".