Structure-function analysis of distant diphtheria toxin homologs reveals insights into host adaptation
Bibliographic record
Abstract
Abstract Diphtheria toxin (DT) is the archetype of bacterial exotoxins implicated in human diseases and has played a central role in defining the field of toxinology since its discovery in 1888. Despite being one of the most extensively characterized bacterial toxins, the origins and molecular evolution of DT host specialization remain unknown. Here, we determined high-resolution structures of two recently discovered distant homologs of DT. These DT-like proteins from non-human associated Streptomyces albireticuli (17% identity to DT) and Seinonella peptonophila (20% identity to DT) display remarkable structural similarity to DT enabling a comparative investigation into DT’s unique toxicity toward mammalian cells. We find that the individual domains of DT-like toxins retain two critical features of DT’s activity: full catalytic function and ability to translocate across mammalian cell membranes. However, we show that receptor-binding, pH-dependent pore-formation and proteolytic release of the cytotoxic enzyme into the cytosol are not optimized for human cell physiology and thus unable to efficiently deliver the cytotoxic cargo into human hosts. Our work provides structural insights into DT’s evolutionary history, and implies key transitions required for the emergence of human-specificity of a major bacterial exotoxin with an important history in human disease.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".