Identification and characterization of botulinum neurotoxin–like two-component toxins in <i>Paeniclostridium ghonii</i>
Bibliographic record
Abstract
Insecticidal bacterial proteins play key roles in insect-bacteria interactions and have been used as biopesticides. Here, we identify two insecticidal proteins in Paeniclostridium ghonii , designated PG-toxin 1 (PG1) and PG-toxin 2 (PG2), which are homologs of botulinum neurotoxins (BoNTs). Unlike BoNTs, PG1 and PG2 contain two separate proteins: One is the protease light chain (LC), and the other is the heavy chain containing the translocation domain and the receptor binding domain. Crystal and cryo–electron microscopy structures show a conserved BoNT-like architecture but without an interchain disulfide bond. Functional characterizations establish that the LCs of PG1 and PG2 cleave insect synaptosomal–associated protein 25 (SNAP25), but not human or rat SNAP25, and microinjection of PG1 and PG2 caused paralysis and death in Drosophila and Aedes mosquitoes. These findings identified unique two-component BoNT-like insecticidal proteins, revealing insights into the evolution of the BoNT family of toxins, and broadening our understanding of bacteria that can be used for biopest controls.
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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) | 0.000 | 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".