Genomic organization of the <i>IGF1</i>, <i>IGF2</i>, <i>MYF5</i>, <i>MYF6</i> and <i>GRF</i>/<i>PACAP</i> genes across Salmoninae genera
Bibliographic record
Abstract
Whole-genome duplication in the ancient ray-finned fish and subsequent tetraploidization in the ancestor to the salmonids have complicated genomic and candidate gene studies in these organisms as many genes with multiple copies are present throughout their genomes. In an attempt to identify genes with a potential influence on growth and development, we investigated the genomic positions of insulin-like growth factors 1 and 2 (IGF1, IGF2), myogenic factors 5 and 6 (MYF5, MYF6) and growth hormone-releasing factor/pituitary adenylate cyclase-activating polypeptide (GRF/PACAP) in three salmonid species: rainbow trout (Oncorhynchus mykiss), Atlantic salmon (Salmo salar) and Arctic charr (Salvelinus alpinus). Our results suggest a tight association between the IGF1, MYF5 and MYF6 genes in all three species. We further localized the duplicated copies of IGF1 to the homeologous linkage groups RT-7/15 in rainbow trout and AC-3/24 in Arctic charr, and the two copies of MYF6 to homeologous linkage groups AS-22/24 in Atlantic salmon. Localization of GRF/PACAP to RT-7, AS-31 and AC-27 and IGF2 to RT-27, AS-2 and AC-4 in rainbow trout, Atlantic salmon and Arctic charr respectively is consistent with previously reported homologies among these chromosomal segments identified using other genetic markers. However, localization of the second copy of GRF/PACAP to RT-19 and AC-14 and the duplicated copy of IGF2 to AC-19 suggest a possible new homology/homeology between these chromosomes. These results might also be an indication of a more ancient polyploidization event that occurred deep in the ray-finned fish lineage.
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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".