The enhancin-like metalloprotease from the<i>Bacillus cereus</i>group is regulated by the pleiotropic transcriptional activator PlcR but is not essential for larvicidal activity
Bibliographic record
Abstract
Bacillus cereus group bacteria produce virulence factors. Many of these are regulated by the pleiotropic transcriptional activator PlcR, which is implicated in insect virulence. In silico analysis of the B. cereus strain ATCC14579 genome showed an enhancin-like gene preceded by a typical PlcR binding sequence. The gene is predicted to encode a polypeptide showing 23-25% identity with enhancins from several baculoviruses and 31% with that of Yersinia pestis. Viral enhancin acts after oral infection and degrades the peritrophic matrix of various Lepidopteran larvae. To rule out a possible implication of Bacillus enhancin in insect virulence, we sequenced the enhancin gene from the Bacillus thuringiensis 407-crystal minus strain and investigated its gene regulation and larvicidal activity. A typical metalloprotease zinc-binding domain (HEIAH) was detected and the gene was named mpbE (metalloprotease bacillus enhancin). An mpbE'-lacZ transcriptional fusion demonstrated that mpbE belongs to the PlcR regulon. The mpbE mutant was fed to Galleria mellonella larvae, and no significant reduction in virulence was observed. However, this may not exclude MpbE from a role in pathogenesis.
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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".