Genome-wide association study identifies candidate genes affecting body conformation traits of Zhongwei goat
Bibliographic record
Abstract
BACKGROUND: Identifying markers or genes crucial for growth traits in Zhongwei goats is pivotal for breeding. Pinpointing genetic factors linked to body size gain enhances breeding efficiency and economic value. In this study, we used the MGISEQ-T7 platform to re-sequence 240 Zhongwei goats (133 male; 107 female) belonging to 5 metrics of growth traits at different growth stages (40 days and 6 months, here in after referred to as 40d and 6 m), namely, Body Weight (BW), Body Height (BH), Body Length (BL), Chest Circumference (CC), Tube Circumference (TC) were examined. A Genome-wide association study (GWAS) was conducted to identify candidate genes associated with the five indicators of body conformation traits, thereby establishing a foundation for subsequent investigations into the biological functions of these genes. RESULTS: A total of 19.89 Tb of raw data was generated with an average sequencing depth of about 20×. After quality control, 15,958,716 SNPs were available for the analysis. A total of 342 genome-wide significant SNPs were obtained. Among them, in the two physiological stages of 40d and 6 m, 147 and 32 SNPs were significantly associated with BW; 1 and 4 SNPs were significantly associated with BH; 19 and 6 SNPs were significantly associated with BL; 33 and 64 SNPs were significantly associated with CC, 34 and 2 SNPs were significantly associated with TC. These SNPs were annotated to 425 candidate genes. Finally, A total of 39 candidate genes are closely related to biological processes such as skeletal muscle development, skeletal formation, carcass quality, and embryonic development, where ADIPOQ, CCDD39, PTPRT, ZNF215, VRTN, ABCD4, DLST, ADAMTS2, ROBO1, AKAP13, AQPI, SOX2, and AHSG were identified as an important component of the genetic framework that may control somatic conformational traits in Zhongwei goats. which warrants further investigation and review. We verified the polymorphism of 11 SNPs by KASP, and found that Chr13_g.11,700,438 A > G, Chr15_g.37,120,328 A > G, Chr6_g.7,209,383 C > T, Chr20_g.51277932T > A, Chr19_g.17,078,199 A > G, and Chr1_g.79,943,276 C > T were significantly genotyped in verified populations (P < 0.001). CONCLUTION: It is the first GWAS study to analyze genomic data from 40d and 6 m of Zhongwei goats to understand the molecular genetic mechanisms of growth. Our research identified a series of SNPs and candidate genes associated with growth traits, which could assist us in developing the meat production trait in Zhongwei goats.
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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 | 0.001 |
| 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) | 0.002 | 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".