Application of genomic tools to study and potentially improve the upper thermal tolerance of farmed Atlantic salmon (Salmo salar)
Bibliographic record
Abstract
Abstract Background The Atlantic salmon ( Salmo salar ) aquaculture industry must mitigate the impacts of rising ocean temperatures and the increased prevalence/severity of marine heat waves. Therefore, we investigated the genetic architecture and gene expression (transcriptomics) responsible for determining a salmon’s upper thermal tolerance. Results A genome-wide association study (GWAS) was conducted using fin clips of salmon from a previous incremental thermal maximum (IT Max ) challenge ( n = 251) and the North American 50 K SNP chip. IT Max was a highly polygenic trait with low/moderate heritability (mean SNP-based h 2 = 0.20 and pedigree-based h 2 = 0.25). Using data from the same fish, a separate GWAS assessed thermal-unit growth coefficient (TGC). Five significant SNPs were detected on chromosomes three and five, and high heritability estimates were calculated for TGC measured as fish grew from 12 to 20 °C (mean SNP-based h 2 = 0.62 and pedigree-based h 2 = 0.64). RNA-seq analyses of liver samples ( n = 5–6 family -1 temperature -1 ) collected from the four most and four least tolerant families at 10 and 20 °C were also used to provide insights into potential mechanisms modulating this species’ thermal tolerance. Between the top and bottom families, 347 and 175 differentially expressed transcripts (FDR-adjusted p < 0.01; fold-change ≥|2.0|) were identified at 10 and 20 °C, respectively. GO term enrichment analysis revealed unique responses to elevated temperature between family rankings (e.g., ‘blood coagulation’, ‘sterol metabolic process’ and ‘synaptic growth at neuromuscular junction’). qPCR analyses further confirmed differences pertaining to cholesterol metabolism ( lpl ), inflammation ( epx , elf3 , ccl20 ), apoptosis ( htra1b , htra2 , anxa5b ), angiogenesis ( angl4 , pdgfa ), nervous system processes ( insyn2a , kcnj11l ) and heat stress ( serpinh1b-1 , serpinh1b-2 ). Three differentially expressed transcripts (i.e., ppp1r9a , gal3st1a , f5 ) were located in close proximity (± 120 kbp) to near-significant SNPs from the GWAS. Interestingly, ppp1r9a and gal3st1a have putative neurological functions, while f5 regulates blood coagulation. Conclusions These analyses provide several putative biomarkers of upper thermal tolerance in salmon that could prove valuable in helping the industry develop more temperature-tolerant fish. Further, our study supports previous reports that IT Max has low/moderate heritability in this species, and suggests that TGC at elevated temperatures is highly heritable.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".