Genome‐Based Identification of a Plant‐Associated Marine Bacterium as a Rich Natural Product Source
Bibliographic record
Abstract
Abstract The large number of sequenced bacterial genomes provides the opportunity to bioinformatically identify rich natural product sources among previously neglected microbial groups. Testing this discovery strategy, unusually high biosynthetic potential was suggested for the Oceanospirillales member Gynuella sunshinyii, a Gram‐negative marine bacterium from the rhizosphere of the halophilic plant Carex scabrifolia. Its genome contains numerous unusual biosynthetic gene clusters for diverse types of metabolites. Genome‐guided isolation yielded representatives of four different natural product classes, of which only alteramide A was known. Cytotoxic lacunalides were identified as products of a giant trans‐acyltransferase polyketide synthase gene cluster, one of six present in this strain. Cytological profiling against HeLa cells suggested that lacunalide A disrupts CDK signaling in the cell cycle. In addition, chemical studies on model compounds were conducted, suggesting the structurally unusual ergoynes as products of a conjugated diyne–thiourea cyclization reaction.
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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 | 0.001 | 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 | 0.000 |
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".