The <i>Pseudomonas aeruginosa</i> type IV pilin receptor binding domain functions as an adhesin for both biotic and abiotic surfaces
Bibliographic record
Abstract
Pseudomonas aeruginosa readily binds to stainless steel and other abiotic surfaces, causing major problems in both the medical and food industries. In this study, we show that P. aeruginosa binds to abiotic surfaces in a concentration-dependent, saturable manner during the initial stages of biofilm formation. P. aeruginosa type IV pili mediate binding to stainless steel as a pilus-deficient strain does not bind to steel, purified type IV pili bound in a concentration-dependent, saturable manner, and purified pili competitively inhibited whole cell binding. PAK pili can also bind polystyrene and polyvinylchloride in a concentration-dependant and saturable manner. As an antibody specific for the C-terminal pilin receptor binding domain inhibited adherence to abiotic surfaces, the role of the C-terminal receptor binding domain in mediating binding to steel surfaces was examined. A synthetic peptide of the PAK pilin epithelial cell receptor binding domain [PAK(128-144)ox] bound directly to steel with high affinity. The interaction of pili with steel was specifically inhibited by this peptide with an apparent Ki of approximately 0.2 nM and effectively inhibited the binding of viable homologous and heterologous P. aeruginosa strains to steel with an apparent Ki of approximately 4 nM. A single point mutation (K130I) in the PAO receptor binding domain was observed to abolish binding to stainless steel while binding to human buccal epithelial cells was enhanced. Therefore, the C-terminal receptor binding domain appears to have evolved for binding a variety of surfaces.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".