Feeding behaviour in some teleosts is triggered by single amino acids primarily through olfaction
Bibliographic record
Abstract
The present study investigated behavioural responses of naïve rainbow trout Oncorhynchus mykiss , lake charr Salvelinus namaycush , lake whitefish Coregonus clupeaformis and goldfish Carassius auratus to food extracts as well as selected amino acids (at 10 −6 M) and related chemicals in a flow‐through behaviour trough. Cysteine, the most potent olfactory stimulating amino acid determined electrophysiologically, enhanced locomotor activity, an initial arousal behaviour, in all species examined, in exactly the same fashion as did food extracts. The increased locomotor activity was followed by distinct species‐specific search behavioural patterns: 1) bottom searching in rainbow trout; 2) surfacing and jumping in lake charr; 3) exploratory behaviour against the trough window in lake whitefish; 4) gravel pecking in goldfish. Olfactory‐stimulating neutral amino acids alanine and serine and gustatory‐stimulating imino acid proline were effective, to varying degrees, in eliciting feeding behaviour. Arginine and glutamate suppressed the locomotor activity in rainbow trout, but triggered feeding behaviour in the other species. Agmatine, a decarboxylated arginine, stimulated feeding behaviour in all species tested, except rainbow trout. The observed behavioural responses were in close accordance with the electrophysiological threshold and specificity. Together, the present data demonstrate that single amino acids and closely related chemicals initiate feeding behaviour primarily by olfaction, and interchangeably and complemented by gustation, in naive fishes.
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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".