Identification of a Positively Charged Platform in <i>Staphylococcus aureus</i> HtsA That Is Essential for Ferric Staphyloferrin A Transport
Bibliographic record
Abstract
In response to iron starvation, Staphylococcus aureus secretes both staphyloferrin A and staphyloferrin B, which are high-affinity iron-chelating molecules. The structures of both HtsA and SirA, the ferric-staphyloferrin A [Fe(III)-SA] and ferric-staphyloferrin B [Fe(III)-SB] receptors, respectively, have recently been determined. The structure of HtsA identifies a novel form of ligand entrapment composed of many positively charged residues. Through ionic interactions, the binding pocket appears highly adapted for the binding of the highly anionic siderophore SA. However, biological validation of the importance of the nine SA-interacting residues (six arginines, one tyrosine, one histidine, and one lysine) has not been previously performed. Here, we mutated each of the Fe(III)-SA-interacting residues in HtsA and found that substitutions R104A, R126A, H209A, R306A, and R306K resulted in a reduction of binding affinity of HtsA for Fe(III)-SA. While mutation of almost all proposed ligand-interacting residues decreased the ability of S. aureus cells to transport (55)Fe(III)-SA, S. aureus expressing HtsA R104A, R126A, R306A, and R306K showed the greatest transport defects and were incapable of growth in iron-restricted growth media in a SA-dependent manner. These three residues cluster together and, relative to other residues in the binding pocket, move very little between the apo and closed holo structures. Their essentiality for receptor function, together with structural information, suggests that they form a positively charged platform that is required for initial contact with the terminal carboxyl groups of the two citrates in the Fe(III)-SA complex. This is a likely mechanism by which HtsA discerns iron-bound SA from iron-free SA.
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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 | 0.001 |
| 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 | 0.001 |
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".