Genomic insights into the evolution and ecology of botulinum neurotoxins
Bibliographic record
Abstract
Clostridial neurotoxins, which include botulinum neurotoxins (BoNTs) and tetanus neurotoxins, have evolved a remarkably sophisticated structure and molecular mechanism fine-tuned for the targeting and cleavage of vertebrate neuron substrates leading to muscular paralysis. How and why did this toxin evolve? From which ancestral proteins are BoNTs derived? And what is, or was, the primary ecological role of BoNTs in the environment? In this article, we examine these questions in light of recent studies identifying homologs of BoNTs in the genomes of non-clostridial bacteria, including Weissella, Enterococcus and Chryseobacterium. Genomic and phylogenetic analysis of these more distantly related toxins suggests that they are derived from ancient toxin lineages that predate the evolution of BoNTs and are not limited to the Clostridium genus. We propose that BoNTs have therefore evolved from a precursor family of BoNT-like toxins, and ultimately from non-neurospecific toxins that cleaved different substrates (possibly non-neuronal SNAREs). Comparison of BoNTs with these related toxins reveals several unique molecular features that underlie the evolution of BoNT's unique function, including functional shifts involving all four domains, and gain of the BoNT gene cluster associated proteins. BoNTs then diversified to produce the existing serotypes, including TeNT, and underwent repeated substrate shifts from ancestral VAMP2 specificity to SNAP25 specificity at least three times in their history. Finally, similar to previous proposals, we suggest that one ecological role of BoNTs could be to create a paralytic phase in vertebrate decomposition, which provides a competitive advantage for necrophagous scavengers that in turn facilitate the spread of Clostridium botulinum and its toxin.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".