<i>Caenorhabditis elegans</i>avoids staphylococcal superantigenic toxins via 5-hydroxytryptamine-dependent pathway
Bibliographic record
Abstract
Avoidance behavior of Caenorhabditis elegans, a nematode, towards Staphylococcus aureus, a pathogenic bacterium, was studied. Caenorhabditis elegans avoided S. aureus cultures and also their culture supernatants, suggesting that secretory molecules are involved in the repellent activity. We demonstrated that toxic shock syndrome toxin 1 (TSST-1) and staphylococcal enterotoxin C (SEC), the superantigenic toxins produced by S. aureus, are responsible for the nematode avoidance. By using TSST-1 and SEC mutants, the results indicated that the repellent activity of these toxins is independent of their superantigenic activity. The TSST-1 and SEC were found to locate at chemosensory neurons that are responsible for the recognition of repellents and avoidance of pathogenic bacteria. When mutants of C. elegans deficient in Toll/interleukin-1 receptor (TIR-1) and 5-hydroxytryptamine (5-HT) biosynthesis were used, avoidance behavior was attenuated. In the 5-HT biosynthesis deficient mutant nematodes, the avoidance activity was recovered when exogenous 5-HT was added. tph-1 expression and 5-HT production were upregulated when the nematodes were treated with TSST-1 or SEC. These results suggest that C. elegans avoids S. aureus by recognizing secretory molecules including TSST-1 and SEC and this avoidance is dependent on TIR and production of 5-HT.
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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".