Integrating haplotypes and single genetic variability effects of the<i>Pax7</i>gene on growth traits in two cattle breeds
Bibliographic record
Abstract
The paired box 7 (Pax7) gene encoding for the transcription factor can regulate the conversion of stem cells into myogenic cells and participate in the development and regeneration of skeletal muscle. The aims of this study were to detect variations of the Pax7 gene by DNA pool sequencing and aCRS-RFLP methods in 1441 cattle from five breeds and to investigate their associations with growth traits in Nanyang and Chinese red steppe cattle. Altogether, three novel single nucleotide polymorphisms (SNPs) were identified in the last intron of the Pax7 gene: NC_007300: ss1 (g. G103688A), ss2 (g. T103735C), and ss3 (g. A103764T). Genotypes and the referring haplotype frequencies showed a high similarity trend among five breeds, and the G, T, and A allele frequencies of the three loci were always superior when separate or in combination. Association analysis of the single SNPs and haplotype combinations revealed that the T allele of ss2 and ss3 loci and the haplotype H(2)H(2) (GG-TT-TT) showed significant effects on growth traits such as body height, body mass, and chest girth in cattle at early stages (6 and 12 months old) (P < 0.05). The results showed that Pax7 gene variations and their corresponding genotypes may be considered as molecular markers for economic traits in cattle breeding.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".