Genome-Wide Association Analysis Identified Variants Associated with Body Measurement and Reproduction Traits in Shaziling Pigs.
Qun LanQiuchun DengShijin QiYuebo ZhangZhi LiShishu YinYulian LiHong TanMaisheng WuYulong YinJun HeMei LiuPublished in: Genes (2023)
With the increasing popularity of genomic sequencing, breeders pay more attention to identifying the crucial molecular markers and quantitative trait loci for improving the body size and reproduction traits that could affect the production efficiency of pig-breeding enterprises. Nevertheless, for the Shaziling pig, a well-known indigenous breed in China, the relationship between phenotypes and their corresponding genetic architecture remains largely unknown. Herein, in the Shaziling population, a total of 190 samples were genotyped using the Geneseek Porcine 50K SNP Chip, obtaining 41857 SNPs for further analysis. For phenotypes, two body measurement traits and four reproduction traits in the first parity from the 190 Shaziling sows were measured and recorded, respectively. Subsequently, a genome-wide association study (GWAS) between the SNPs and the six phenotypes was performed. The correlation between body size and reproduction phenotypes was not statistically significant. A total of 31 SNPs were found to be associated with body length (BL), chest circumference (CC), number of healthy births (NHB), and number of stillborns (NSB). Gene annotation for those candidate SNPs identified 18 functional genes, such as GLP1R , NFYA , NANOG , COX7A2 , BMPR1B , FOXP1 , SLC29A1 , CNTNAP4 , and KIT , which exert important roles in skeletal morphogenesis, chondrogenesis, obesity, and embryonic and fetal development. These findings are helpful to better understand the genetic mechanism for body size and reproduction phenotypes, while the phenotype-associated SNPs could be used as the molecular markers for the pig breeding programs.
Keyphrases
- genome wide
- copy number
- dna methylation
- genome wide association
- genome wide association study
- public health
- metabolic syndrome
- type diabetes
- immune response
- insulin resistance
- regulatory t cells
- gene expression
- weight loss
- body mass index
- single cell
- physical activity
- high throughput
- mass spectrometry
- circulating tumor cells
- transcription factor