The serotonin receptor SER‐1 (5HT2ce) contributes to the regulation of locomotion in <i>Caenorhabditis elegans</i>
Bibliographic record
Abstract
Serotonin (5-hydroxytryptamine: 5HT) is an important neuroactive substance in the model roundworm, Caenorhabditis elegans. Aside from having effects in feeding and egg-laying, 5HT inhibits motility and also modulates several locomotory behaviors, notably food-induced slowing and foraging. Recent evidence showed that a serotonergic 5HT2-like receptor named SER-1 (also known as 5HT2ce) was responsible for the effect of 5HT on egg-laying. Here we confirm this observation and show that SER-1 also plays an important role in locomotion. A mutant lacking SER-1 was found to be highly resistant to exogenous 5HT in the absence of food and this resistant phenotype was rescued by reintroducing the SER-1 gene in a mutant background. Pharmacological studies showed that the same antagonists that blocked the activity of recombinant SER-1 in vitro also inhibited the effect of 5HT on motility, suggesting the same receptor was responsible for both effects. When tested for locomotory behaviors, the SER-1 mutant was found to be moderately defective in food-induced slowing. In addition, the mutant changed direction more frequently than the wildtype when searching for food, suggesting that SER-1 may play a role in navigational control during foraging. Both these effects required the presence of MOD-1, a 5HT gated chloride channel, and the results indicate that SER-1 and MOD-1 modulate these behaviors through a common pathway. On the basis of expression analysis of a ser-1::GFP translational fusion, SER-1 is prominently located in central, integrating neurons of the head ganglia (RIA and RIC) but not the body wall musculature. The evidence suggests that SER-1 controls locomotion through indirect modulation of neuromuscular circuits and has effects both on speed and direction of movement.
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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) | 0.001 | 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".