Analysis of porcine <i>OSBPL5</i> gene allelic expression in skeletal muscle and association of a single-nucleotide polymorphism in the coding region with production traits
Bibliographic record
Abstract
Genes that exhibit allelic expression imbalance and imprinted genes play important roles in the survival of the embryo and postnatal growth regulation. In this study, the porcine oxysterol-binding protein-related 5 (OSBPL5) gene was examined, and the 2140G>A mutation (rs318687202) was found in its coding region by a comparison of Laiwu and Landrace pigs. By allele-specific expression analysis based on a specific single-nucleotide polymorphism (SNP), the imprinting status of OSBPL5 gene in skeletal muscle from both neonate and adult pigs was determined. The results showed that the OSBPL5 was paternally imprinted in skeletal muscle from adults but biallelically expressed with predominantly maternal imprinting in neonates. The distribution of the 2140G>A SNP in four pig populations was analyzed, which showed that GG genotype was dominant in Duroc and Dapulian populations, whereas the AG genotype was dominant in Junmu-1 and Laiwu populations. Pigs with the GG genotype had significantly larger litters and greater cannon bone circumferences but a lower average daily gain than pigs with the AA genotype. In conclusion, we determined the difference in the allelic expression of OSBPL5 between adult and neonate pigs and identified an SNP in its coding region that is associated with production traits.
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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".