Analysis of VRTN, NR6A1 and LTBP2 gene polymorphisms in Lijiang pigs and their association with the number of thoracic vertebrae
Bibliographic record
Abstract
To explore the polymorphisms of the VRTN, NR6A1, and LTBP2 genes and their association with thoracic vertebrae count in Lijiang pigs, genotyping these genes’ exons and the VRTN promoter region was conducted in 205 individuals. Polymerase chain reaction (PCR) and Sanger sequencing were used for this purpose. Genotype and allele frequencies of the identified variants were calculated, and their associations with thoracic vertebrae count were analyzed. A total of eight missense mutations and one insertion mutation were identified. Moderate polymorphism was detected in VRTN (g.97622607G>A, g.97623006G>A, g.97623046C>T), NR6A1 (g.265347265T>C), and LTBP2 (SSC7:97765472C>G), while VRTN (g.976158896_976158897ins291) and LTBP2 (SSC7:97770379T>C) showed low polymorphism. Importantly, the VRTN variant g.976158896_976158897ins291 and the LTBP2 variant SSC7:97770379T>C were significantly associated with thoracic vertebrae count (P<0.01). Further, the NR6A1 variant g.265347265T>C was also significantly associated with thoracic vertebrae count (P<0.05). The variants g.976158896_976158897ins291 of VRTN, g.265347265T>C of NR6A1, andSSC7:97770379T>C of LTBP2 significantly influence the number of thoracic vertebrae, providing valuable insights for the molecular breeding of Lijiang pigs concerning this trait.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".