Reviewer response for version 1
Bibliographic record
Abstract
Aurodox is a specialised metabolite of Streptomyces goldiniensis originally identified for its anti-streptococcal and anti-staphylococcal activity. More recently, there has been a renewed focus on the study of aurodox as the compound has been shown to inhibit virulence in both Enteropathogenic and Enterohemorrhagic Escherichia coli (EPEC/EHEC). Aurodox is able to inhibit host colonization in EPEC and EHEC infections via the downregulation of the Type III Secretion System – a major virulence factor in these pathogens. To further investigate activity, increased quantities of the compound are required for in-depth mechanism of action studies. To identify suitable aurodox production conditions, a number of relevant fermentation media were tested for enhanced aurodox yield, followed by bioassay and Liquid Chromatography Mass Spectrometry analysis. Glucose Yeast Extract medium (GYM) was identified as the leading production medium tested. Further analysis of S. goldiniensis growth in GYM medium established the optimum temporal range for aurodox production. A minimum growth period of 154 hours is required for detectable aurodox production in S. goldiniensis fermentations in liquid GYM medium. To improve overall aurodox titres, a heterologous expression (HE) approach was taken and four potential HE hosts were investigated. These data indicated that the aurodox biosynthetic gene cluster can be heterologously expressed in both S. collinus Tü365 and S. coelicolor M1152, with increased aurodox titres compared to those of S. goldiniensis. This work demonstrates how traditional physiological analysis and modern genetic techniques can be combined to improve natural product production for detailed mode-of-action studies.
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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 | 0.018 | 0.204 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.642 | 0.315 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".