Identification of single nucleotide polymorphisms in avian uncoupling protein gene and their association with growth and body composition traits in broilers
Bibliographic record
Abstract
Uncoupling protein (UCP) genes are members of the mitochondrial membrane transporter family. They could increase energy expenditure via diminishing the resulting production of adenosine triphosphate (ATP) and instead yielding dissipative heat. Some studies showed that decrease of the energy expenditure was the main reason causing obesity. We identified two SNPs in avian UCP gene and genotyped them in broiler lines that underwent divergently selection for abdominal fat after six generations using the percentage of abdominal fat as well as very low-density lipoprotein (VLDL) as the selection criterion. Two polymorphisms were found in the 3' untranslated region (UTR) (A1197C) and intron 2 (C1240A) region. Polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP) and PCR-Restriction Fragment Length Polymorphism (PCR-RFLP) methods were then developed to genotype the population. The correlation between the UCP SNPs and growth as well as body composition traits were carried out using mixed model analysis. Results showed that the polymorphism of A1197C had an effect on percentage of abdominal fat (AFP), abdominal fat weight (AFW) and liver weight (LW). The C1240A polymorphism had effects on body weight (BW), carcass weight (CW), LW and gizzard weight (GW). There is a significant association between the UCP genotypes and the growth and body composition traits in the broiler lines. Key words: Broiler, uncoupling protein gene, SNPs, growth, body composition
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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 | 0.001 | 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".