Altered Expression of Growth Hormone/Insulin-Like Growth Factor I Axis Hormones in Domesticated Fish
Bibliographic record
Abstract
There are genetically based differences in growth and behavior between domestic and wild (W) trout and salmon, although the molecular underpinnings of the physiological alterations have not been identified. To test for genetically based alterations in the GH/IGF-I axis, which is thought to mediate some of the differences in growth and behavior, we measured circulating concentrations of GH, IGF-I, and thyroid hormone (T(3)), as well as mRNA levels for GH, IGF-I, and GH receptor, from multiple tissues and from fish reared under different environments. Both age-matched and size-matched individuals were examined to overcome difficulties examining strains with inherently different growth rates (and, thus, body size at age). A principal components analysis detected four factors that explained over 70% of the variation in the data; of these, a factor composed of mRNA expression of GH receptor in the liver, IGF-I in the liver, and circulating IGF-I was most strongly correlated with genotype. W coho salmon families responded to environmental alteration with a lower level of plasma IGF-I detected in the seminatural (reduced food) environment relative to the culture environment, whereas no environmental response was detected in the domestic families. The results suggest that genetically based differences in hormone expression and regulation, particularly for IGF-I, are present in response to anthropogenic selection pressures in salmon and trout. In addition, although rearing environment alone can alter relative hormone expression, domestication appears to have reduced the physiological response to environment relative to W fish.
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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) | 0.000 | 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".