Temperature-dependent metabolite production by Arctic actinomycetes
Bibliographic record
Abstract
Actinomycetes are a well-established source of natural products with therapeutic potential, particularly for the treatment of infectious diseases. The exploration of microbes from underexplored habitats and the application of novel cultivation conditions are proven strategies for the discovery of novel bioactive metabolites. We set out to explore the metabolic diversity of cold-adapted actinomycetes isolated from marine sediments collected from Canada's Arctic. To screen for metabolites differentially regulated by temperature, 45 strains were fermented at 15 °C and 30 °C and the resulting chemical extracts were tested for antimicrobial activity. Seventy-six percent of the strains exhibited antimicrobial activity against one or more pathogens. Strikingly, extracts prepared from fermentations incubated at 15 °C generated double the number of hits than fermentations conducted at 30 °C. Overall, the majority (44%) of strains exhibited a greater frequency of antimicrobial activity when fermented at 15 °C. Metabolomic analysis (LC-HRMS) was utilized to assess the differential production of metabolites in response to temperature. The results of these experiments will be presented.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 teacher head, 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".