Defence‐relevant gene expression differences in hatchlings among wild Newfoundland and farmed European and North American Atlantic salmon and their hybrids
Bibliographic record
Abstract
Abstract Escape of genetically distinct farmed Atlantic salmon (Salmo salar) raises concerns about their potential interactions with wild populations and the disruption of local adaptation through genetic admixture. It is often unknown whether genetic origin or common domestication effects will have a greater influence on consequences posed by escaped farmed fish. Previous work showed that domestication could have prevalent effects on the behaviour and growth of farmed salmon, independent of their genetic origin. Yet, less is known whether this extends more broadly to gene expression, particularly at critical early life stages. Thus, we compared the expression of 24 transcripts related to the immune response, structural maintenance, stress response and iron metabolism among distinct farmed (North American [NA] and European [EO]), wild (Newfoundland) and F1 hybrid salmon at hatching under controlled conditions using qPCR analyses. A slightly higher number of transcripts were differentially expressed between the wild population relative to EO (i.e. atf3a, atf3b, bnip3, trim37a, ftm, hp and gapdh) than NA‐farmed salmon (i.e. epdl2, hba1a, hba1b, hbb4 and ftm). The most differences existed between the two farmed strains themselves (11 of 24 transcripts), with the fewest differentially expressed transcripts found between the F1 hybrids and the domesticated/wild maternal strains (4 of 24 transcripts). Interestingly, despite similarities in the overall extent of gene expression differences among cross types, the expression patterns differed relative to a past study that compared fry from the same cross types at the end of yolk sac absorption. Overall, our findings suggest that interbreeding of escaped farmed salmon with wild Newfoundland populations would alter transcript expression levels and that developmental stage influences these changes.
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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".