The Role of FhuD2 in Iron(III)-Hydroxamate Transport in Staphylococcus aureus
Bibliographic record
Abstract
The fhuD2 gene encodes a lipoprotein that has previously been shown to be important for the utilization of iron(III)-hydroxamates by Staphylococcus aureus. We have studied the function of the FhuD2 protein in greater detail, and demonstrate here that the protein binds several iron(III)-hydroxamates. Mutagenesis of FhuD2 identified several residues that were important for the ability of the protein to function in iron(III)-hydroxamate transport. Several residues, notably Tyr-191, Trp-197, and Glu-202, were found to be critical for ligand binding. Moreover, mutation of two highly conserved glutamate residues, Glu-97 and Glu-231, had no affect on ligand binding, but did impair iron(III)-hydroxamate transport. Interestingly, the transport defect was not equivalent for all iron(III)-hydroxamates. We modeled FhuD2 against the high resolution structures of Escherichia coli FhuD and BtuF, two structurally related proteins, and showed that the three proteins share a similar overall structure. FhuD2 Glu-97 and Glu-231 were positioned on the surface of the N and C domains, respectively. Characterization of E97A, E231A, or E97A/E231A mutants suggests that these residues, along with the ligand itself, play a cumulative role in recognition by the ABC transporter FhuBGC2. In addition, small angle x-ray scattering was used to demonstrate that, in solution, FhuD2 does not undergo a detectable change in conformation upon binding iron(III)-hydroxamates. Therefore, the mechanism of binding and transport of ligands for binding proteins within this family is significantly different from that of other well studied binding protein families, such as that represented by maltose-binding protein.
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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) | 0.000 | 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 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".