Bioprospecting for culturable actinobacteria with antimicrobial properties isolated from rivers in Colombian Orinoquia
Bibliographic record
Abstract
Purpose: To Isolate and characterize Actinobacteria with antimicrobial activity from Guaviare River (Colombia).Methods: Water and sediment samples were collected from Guaviare River. Direct plating, heat and CaCO3 methods were used to isolate Actinobacteria. Six bacterial strains were tested using T-Streakmethod: Escherichia coli ATCC 23724, Staphylococus aureus ATCC 25923, Acinetobacter baumannii ATCC 19606, Bacillus subtilis ATCC 21556, Klebsiella pneumoniae ATCC 700603, Chromobacterium violaceum ATCC 31532. Strains of Fusarium sp. H24, Trichoderma harzianum H5 and Colletotrichum gloeosporioides were tested using Kirby-Bauer method. Isolates with high antimicrobial activity were selected for further taxonomic identification. Results: A total of 374 actinobacteria isolates were obtained. Seven isolates exhibited high antimicrobial activity (p < 0.05) and were confirmed as members of Streptomycetaceae family. Of these, three isolates showed differential phenotypic and genotypic profiles, indicating that they may represent new species.Conclusions: To date, this is the first study of this type in Colombian Orinoquia and indicates that this promising source of Actinobacteria from aquatic sediments with the ability to produce antimicrobial secondary metabolites.Keywords: Actinobacteria, Antimicrobial activity, Secondary metabolites, Streptomycetaceae, Phenotypic and genotypic profiles, Colombian Orinoquia
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".