Characterization of Bioactivity and Antimicrobial Metabolite Production in Bacteria Antagonistic to Plant and Foodborne Molds
Bibliographic record
Abstract
Biocontrol agents show promise in mitigating the drawbacks of synthetic chemicals.This study investigates potential biocontrol bacteria isolated from disease suppressive composts to reduce Fusarium dry rot on potato tubers, and to gain insight into the mode of action of Arthrobacter spp.The objectives were to ( i) evaluate the antagonistic activity against Fusarium sambucinum in vitro and suppression of potato dry rot, (ii) assess the antimicrobial activity of Arthrobacter spp. in vitro and in vivo, and (iii) identify possible modes of action of these antagonistic bacteria.Results indicated that bacterial isolates from Bacillus, Pseudomonas, and Arthrobacter genera suppressed Fusarium dry rot.Additionally, Arthrobacter humicola M9-1A, M9-2, and M9-8, A. psychrophenolicus M9-17 and their cell-free filtrates possess antimicrobial properties suppressing various plant pathogens.Two antimicrobial compounds were isolated and structurally characterized from A. psychrophenolicus M9-17.Overall, this study reported that antibiosis may be a major mode of action of these bacteria.Chapter 2: Suppression of Fusarium dry rot of potato using beneficial bacterial treatments ...........
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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 | 0.000 | 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) | 0.001 | 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".