Pseudomonas aeruginosa FpvB Is a High-Affinity Transporter for Xenosiderophores Ferrichrome and Ferrioxamine B
Bibliographic record
Abstract
Gram-negative bacteria express a variety of outer membrane transporters to import critical nutrients such as iron. Due to its insolubility, iron is taken up while bound to small-molecule chelators called siderophores. Pseudomonas aeruginosa takes up its own siderophores pyoverdine and pyochelin but can also steal siderophores produced by other bacteria and fungi, giving it a competitive advantage in iron-limited environments. Here, we used whole-cell reporter assays to show that FpvB, originally identified as a secondary transporter for pyoverdine, transports the chemically distinct fungal siderophore ferrichrome and the bacterial siderophore ferrioxamine B with high affinity. FpvB is also used by thiopeptide antibiotic thiostrepton for uptake. We predicted that all of these ligands bind to a common hydrophobic pocket in FpvB and used site-directed mutagenesis coupled with phenotypic assays to identify residues required for uptake. These analyses showed that siderophore and antibiotic uptake could be uncoupled. Our data show that FpvB is a promiscuous transporter of multiple chemically distinct ligands and fills in missing details of ferrichrome transport by P. aeruginosa. A clearer picture of the spectrum of outer membrane transporter substrate specificity is useful for the design of novel siderophore-antibiotic conjugates that can exploit nutrient uptake pathways to kill challenging Gram-negative pathogens.
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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".