0466 The effect of SNPs in the promoter on expression of CYP2E1 gene and boar taint
Bibliographic record
Abstract
Boar taint, an unfavorable odor detected in the meat of intact male pigs, is caused by the accumulation of two compounds: androstenone and skatole. Despite mounting welfare concerns, surgical castration of all male piglets is still the most common control method in production systems. The need for new methods to control boar taint is therefore a necessity. Genetic selection represents one such alternative. Among the genes known to be involved in boar taint metabolism, CYP2E1 has repeatedly proven influential. The aim of this study was to identify SNPs within the CYP2E1 promoter affecting gene expression and boar taint. Genotypes were obtained from a previously developed list of 7 single nucleotide polymorphisms (SNPs) on 66 boars from three major swine breeds: Duroc, Landrace and Yorkshire. RNA was isolated from liver tissue and quantitative PCR was performed to measure CYP2E1 gene expression. Association analysis was run correlating genotype and CYP2E1 expression (ΔCT) using PROC GLM (SAS Version 9.4). Weight was included as a fixed effect. The effect of breed, androstenone and skatole concentrations on CYP2E1 expression were also tested. All SNPs had a MAF > 0.05. Results indicated that 1 SNP within the CYP2E1 promoter was significantly associated with CYP2E1 expression at α < 0.05. An additional 3 SNPs demonstrated association at α < 0.10. While weight was significantly associated with gene expression, breed was found to have no effect. Significant within breed variation in CYP2E1 expression was observed, indicating significant differences in gene expression among individuals. Androstenone and skatole were significantly associated, with means of 1.33 ug/g and 0.58 ug/g, respectively. Though SNPs were significantly associated with gene expression, no associations were observed between gene expression and androstenone or skatole in fat. Due to this lack of association between expression and boar taint, results indicate that CYP2E1 mRNA expression alone is not a key indicator for boar taint.
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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) | 0.003 | 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".