The marine worm <i>Capitella teleta</i> is sensitive to neurochemical manipulation, as revealed via a novel behavioural tool
Bibliographic record
Abstract
Anthropogenic impacts have increased in contaminants in marine habitats, such as pharmaceuticals, personal care products, and pesticides, and these compounds act as neurochemicals in aquatic organisms. Capitella teleta Blake, Grassle & Eckelbarger, 2009 are marine annelid polychaete worms that live in the sediment of estuarine environments. This study aimed to develop a behavioural tool to identify neurochemical pathways involved in controlling locomotion at multiple life stages. We observed adult and juvenile life stages (2 weeks post-emergence) of Capitella teleta in Petri dishes or 6-well plates and isolated conserved behavioural responses. We exposed juvenile and adult worms to nicotine (acetylcholine agonist) as proof of concept. Low doses of nicotine stimulate movement, and higher doses reduce locomotion at all stages. From here, we exposed juvenile worms to fluoxetine (serotonin reuptake inhibitor), phenobarbital (GABA agonist), and apomorphine (dopamine agonist). Fluoxetine and phenobarbital exposure reduces movement at high doses, but fluoxetine influences the amount of time at the periphery of the arena. Apomorphine produced modest changes in locomotion compared to other chemicals tested. Genome searching and transcriptomics were used to confirm the presence of neurochemical pathways. This study shows that Capitella teleta is a viable model for behavioural work and this assay may be useful as a screen for contaminants found in marine habitats.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".