Genome Mining Guided Discovery of Macrocyclic Sesterterpenoids with Anti-MRSA and Anti-Neuroinflammatory Activities
Bibliographic record
Abstract
Terpenoids exhibit antioxidant, antimicrobial, and health-promoting activities, and are widely utilized in the food industry. In this study, a new bifunctional terpene synthase (BFTPS) and its associated gene cluster were identified in Colletotrichum cereale 00173 through a genome mining approach. Heterologous expression of the BFTPS and its gene cluster in Aspergillus oryzae NSAR1 led to the production of a 14-membered macrocyclic sesterterpene, colcerepene ( 1 ), and four hydroxylated derivatives, colcerepenoids A–D ( 2 – 5 ). The biosynthetic pathway of compounds 1 – 5 was further elucidated through feeding experiments. Notably, compound 1 exhibited antibacterial activity against methicillin-resistant Staphylococcus aureus (MRSA) with an MIC value of 6.25 μM. This study is the first report of anti -MRSA activity in macrocyclic sesterterpenoids, expanding the functional space of macrocyclic sesterterpenoids as promising leads for developing agents against 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".