A novel polymorphism in the 3′ untranslated region of rabbit <i>TAS1R1</i> is associated with growth performance and carcass traits but not meat quality
Bibliographic record
Abstract
The aim of this study was to investigate the relationship between polymorphisms of the 3′ untranslated region of TAS1R1 and growth traits, carcass traits, and meat quality traits in rabbit. We detected one single nucleotide polymorphism located at 9120 bp (g.9120A>C) in the 3′ untranslated region of TAS1R1 gene by using polymerase chain reaction sequencing. The novel mutation g.9120A>C was subsequently genotyped by MassArray system (Sequenom iPLEX assay) in 249 samples of three breeds (Hyla, 91 animals; Champagne, 84 animals; Tianfu Black, 74 animals). Association analysis suggested that the individuals with AC genotype showed greater body weight at 70 d of age (P < 0.01), body weight at 84 d of age (P < 0.05), and average daily weight gain from 28 to 84 d of age (P < 0.05) than AA. In addition, the individuals with AC genotype had a lower eviscerated slaughter percentage (P < 0.05) and semieviscerated slaughter percentage (P < 0.05). However, association of the genotypes with other production traits was not observed. The results indicate TAS1R1 is one of the candidate genes affecting growth performance and dressing percentage in rabbits, and this may be of potential use in marker-assisted selection for meat quality traits in rabbits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".