Discovery of New Siderophores from a Marine <i>Streptomycetes</i> sp. via Combined Metabolomics and Analysis of Iron-Chelating Activity
Bibliographic record
Abstract
The marine-derived Streptomyces sp. FIMYZ-003 strain was found to produce novel siderophores with yields negatively correlated with the iron concentration in the medium. Mass spectrometry (MS)-based metabolomics coupled with metallophore assays identified two novel α-hydroxycarboxylate-type siderophores, fradiamines C and D ( 3 and 4 ), together with two related known siderophores, fradiamines A and B ( 1 and 2 ). Their chemical structures were elucidated by nuclear magnetic resonance (NMR) and MS experiments. The annotation of a putative fra biosynthetic gene cluster enabled us to propose the biosynthetic pathway of fradiamines A–D. Furthermore, the solution-phase iron-binding activity of fradiamines was evaluated using metabolomics, confirming them as general iron scavengers. Fradiamines A–D exhibited Fe(III) binding activity equivalent to that of deferoxamine B mesylate. Growth analysis of pathogenic microbes demonstrated that fradiamine C promoted the growth of Escherichia coli and Staphylococcus aureus, but fradiamines A, B, and D did not. The results indicate that fradiamine C may serve as a novel iron carrier applicable to antibiotic delivery strategies to treat and prevent foodborne pathogens.
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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) | 0.001 | 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".