: Thyroglobulin (TG) gene was known to be regulated fat cell growth and differentiation and the endothelial differentiation sphingolipid G-protein-coupled receptor 1 (EDG1) gene involves blood vessel formation and known to be affecting carcass traits in beef cattle. The aim of this study was to identify the single nucleotide polymorphisms (SNPs) in both TG and EDG1 genes and to analyze the association with carcass traits in Korean cattle (Hanwoo). The T354C SNP in TG gene located at the 3' flanking region and c.-312A>G SNP located at 3'-UTR of EDG1 gene were used for genotyping the animals using PCR-RFLP method. Three genotypes were identified in T354C SNP in TG gene and only two AA and AG genotypes were observed for the c.-312A>G SNP in EDG1 gene. The results indicated that T354C SNP in TG gene was not significantly associated with carcass traits. However, the c.-312A>G SNP in EDG1 gene had significant effects on backfat thickness (BF) and yield index (YI). These results may provide valuable information for further candidate gene studies affecting carcass traits in Korean cattle and may use as marker assisted selection for improving the quality of meat in Hanwoo.
There has been great success for making transgenic animals using somatic cell nuclear transfer (SCNT) up to this time. However, the success rates of the production of live transgenic animals are still very low. The current research has been carried out for delineation of differentially expressed genes between SCNT and normal placenta in cattle. In the present observations, high expression has been observed for CTSZ, LOC509426 and ELF1 genes in normal placenta. On the other hand, TIMP2, PAG1B, PAG-21, LOC782894, SERPINB6 and mKIAA2025 protein were highly expressed in SCNT placenta. Five genes, which were highly expressed in SCNT placenta, have been further investigated using semi-quantitative real-time PCR. The results were similar to that we observed using ACP. In the future, all genes affecting the SCNT and normal placenta have to be discovered and their networks will be fully investigated. The genes were identified in this study would be great help for identifying differential gene expressions in SCNT placenta.
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