Functions of Lipopeptides Bacillomycin D and Fengycin in Antagonism of <i>Bacillus amyloliquefaciens</i> C06 towards <i>Monilinia fructicola</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In previous studies, Bacillus amyloliquefaciens C06 has been proven to be effective in controlling brown rot of stone fruit caused by Monilinia fructicola. When tested in vitro, cell-free filtrate of B. amyloliquefaciens C06 significantly inhibited mycelial growth and conidial germination of the fungal pathogen. This study aimed to determine the role of the antifungal compound(s) in the cell-free filtrate of B. amyloliquefaciens C06 by an approach combining a DNA-based suppression subtractive hybridization (SSH) method with MALDI-TOF-MS analysis. It was demonstrated that B. amyloliquefaciens C06 harbored two genes, bmyC and fenD, involved in biosynthesis of bacillomycin D and fengycin, two lipopeptides belonging to the iturin and fengycin family, respectively. To determine the roles of bacillomycin D and fengycin of B. amyloliquefaciens C06 in suppressing M. fructicola, the mutants of B. amyloliquefaciens C06 deficient in producing bacillomy- cin D, fengycin or both were constructed, and evaluated in vitro together with the wild-type B. amyloliquefaciens C06. The results indicated that bacillomycin D and fengycin jointly contributed to the inhibition of conidial germination of M. fructicola, and fengycin played a major role in suppressing mycelial growth of the fungal pathogen.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it