Detection of<i>Bacillus cereus</i>virulence factors in commercial products of<i>Bacillus thuringiensis</i>and expression of diarrheal enterotoxins in a target insect
Bibliographic record
Abstract
We examined isolates from 4 commercial bioinsecticides based on different strains of Bacillus thuringiensis subspecies (kurstaki, israelensis, aizawai, and tenebrionis) for the presence of genes encoding proteins with known enterotoxigenicity (nhe, hbl, cytk, ces) and various other putative virulence genes (piplc, sph, bceT, entFM, entS, entT). The piplc and bceT sequences were present in all the isolates; sph was found in aizawai and israelensis; entFM only in israelensis; and entS in kurstaki, israelensis, and tenebrionis. Our results corroborate previous findings that isolates used in commercial products contain all nhe and hbl component genes but not the ces gene. We ascertained that the cytK gene present in the kurstaki-, israelensis-, and aizawai-based products belongs to the cytK-2 type and not the more toxigenic cytK-1 variant originally isolated from enterotoxic Bacillus cereus. We provide the first evidence that hemolytic (hblA) and nonhemolytic (nheA, nheB, nheC) enterotoxin genes are expressed during septicemia in a target insect. This opens the door for their possible participation in pathogenesis in target insects. If enterotoxins do not contribute to bacterial pathogenesis in target insects, their genes could be deleted from commercial production strains to pre-empt perceptions of public health risks.
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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".