Whole-genome Sequencing Reveals Putative Underlying Mechanisms of Biocontrol Capability of IBFCBF-5
Bibliographic record
Abstract
Abstract Objective: As the world's food safety and environmental safety problems become increasingly severe, the agricultural sectors of various countries are also paying closer attention to the use of biofertilizers and biocontrol agents. Rhizosphere bacteria are a significant source of commonly used biofertilizers and biocontrol agents. This study aims to describe the genome and genomic traits of a biocontrol agent in the genus Bacillus . Results: In this paper, a strain of Bacillus amyloliquefaciens IBFCBF-5 was isolated and identified to have an inhibitory effect on several common oomycete and fungal pathogens Phytophthora capsica, Sclerotinia sclerotiorum, Colletotrichum gloeosporioides, and Fusarium oxysporum f.sp. cucumerinum . The genome of strain IBFCB-5 was sequenced, and the assembled genome was 4,338,658bp, with a G+C content of 46.05%. The IBFCBF-5 genome contains abundant GH, GT, CE, PL, AA, and CBM gene families, potentially degrading cellulose and hemicellulose, chitin, starch, xylan, peptidoglycan, etc. In addition, 14 lipopeptide and polypeptide antibiotic gene clusters were found in IBFCBF-5, including those coding for the synthesis of several known antifungal and antibacterial compounds Fengycin, Bacilysin, Bacillibactin, and plantazolicin. Conclusion: Our results show that Bacillus amyloliquefaciens IBFCBF-5 has a broad-spectrum antifungal ability and that its genome contains many genes coding for antimicrobial metabolites.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".