Identification and genome-wide analysis of <i>Bacillus strains</i> JK19 and JK23, two potential biocontrol agents against plant pathogens
Bibliographic record
Abstract
Bacillus strains JK19 and JK23 have shown enhanced resistance against various plant pathogens, but the whole genomes and molecular mechanisms of these potential biocontrol agents remain poorly understood. In this study, genome-wide sequencing of these strains was performed with the Illumina HiSeq 4000 system. The JK19 genome (4,222,899 bp) was slightly smaller than the JK23 genome (3,996,105 bp), and 4041 and 3823 protein-coding genes were predicted for JK19 and JK23, respectively. The total number of single nucleotide polymorphisms (SNPs) in the coding sequence (CDS) region was 44,023 in JK19 and 44,030 in JK23, while the numbers of insertions and deletions (indels) detected were 343 and 361, respectively, for JK19 and 370 and 366, respectively, for JK23. The phylogenetic trees indicated that JK19 and JK23 are closely related to Bacillus velezensis YAU B9601-Y2, and next-generation sequencing confirmed that both strains belong to B. velezensis. This characterisation of the whole-genome sequences of B. velezensis JK19 and JK23 has broad potential applications in the field of plant disease resistance.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".