DNA methylation is an important epigenetic mechanism involved in expression of genes in many biological processes including muscle growth and development. Its effects on economically important traits are evinced from reported significant differences in meat quality traits between Japanese black (Wagyu) and Chinese Red Steppes cattle, thus presenting a unique model for analyzing the effects of DNA methylation on these traits. In the present study, we performed whole genome DNA methylation analysis in the two breeds by whole genome bisulfite sequencing (WGBS). Overall, 23150 differentially methylated regions (DMRs) were identified which were located in 8596 genes enriched in 9922 GO terms, of which 1046 GO terms were significantly enriched (p<0.05) including lipid translocation (GO: 0034204) and lipid transport (GO: 0015914). KEGG analysis showed that the DMR related genes were distributed among 276 pathways. Correlation analysis found that 331 DMRs were negatively correlated with the expression levels of differentially expressed genes (DEGs) with 21 DMRs located in promoter regions. Our results identified novel candidate DMRs and DEGs correlated with meat quality traits, which will be valuable for future genomic and epigenomic studies of muscle development and for marker assisted selection of meat quality traits.
This study aims to screen potential regulators and regulate fecundity networks between microRNAs (miRNAs) and target genes. The bovine testes of immature and mature Chinese Red Steppes were performed by genome-wide analysis of mRNAs and miRNAs. Compared with testicular tissues of newborns, 6051 upregulated genes and 7104 downregulated genes in adult cattle were identified as differentially expressed genes (DEGs). The DEGs were significantly enriched in 808 GO terms (p < 0.05) including male gonad development, male genitalia development, spermatogenesis, and sperm motility. Moreover, DEGs were also significantly enriched in 105 KEGG pathways (p < 0.05), including cGMP-PKG signaling pathway and calcium signaling pathway. To explore the expression of miRNA-regulated gene expression, 896 differentially expressed target genes negatively regulated with the expression levels of 31 differentially expressed miRNAs (DERs) were predicted and analyzed, and a network-integrated analysis was constructed. Furthermore, real-time PCR was performed to verify the expression levels of DEGs and DERs. Our results identified novel candidate DEGs and DERs correlated with male reproduction and intricate regulating networks between miRNAs and genes, which will be valuable for future genetic and epigenetic studies of sperm development and maturity, as well as providing valuable insights into the molecular mechanisms of male fertility and spermatogenesis in cattle.
MicroRNA is a class of single-stranded RNA molecules of about 22–24 nucleotides in length, which regulate a variety of biological processes, including lipid metabolism and triglyceride synthesis at transcriptional and translational levels by degrading target mRNAs or interfering with the protein production. In this study, the effect of miR-2382-5p on triglyceride levels was examined in bovine mammary epithelial cells (BMECs), and the results showed that miR-2382-5p could decrease the content of triglyceride. Furthermore, miR-2382-5p regulated the expression of lipoprotein lipase (LPL), peroxisome proliferator-activated receptor gamma co-activator 1beta (PPARGC1B), hormone-sensitive lipase (HSL), and peroxisome proliferator-activated receptor gamma (PPARγ), which are known to increase triglyceride decomposition in lipid metabolism. Luciferase reporter assay and quantitative real-time PCR (qPCR) validated that miR-2382-5p downregulated the mRNA expression of target gene N-myc downstream-regulated gene 2 (NDRG2) by specifically recognizing and binding to its 3′-untranslated region (UTR). Meanwhile, overexpression of NDRG2 led to increased triglyceride and cholesterol production in BMECs. In summary, this study suggested that miR-2382-5p regulated lipid metabolism by targeting NDRG2, which might be a potential target for molecular manipulation of milk fat composition to produce healthy milk. This study also provided basic data for further understanding lipid metabolism in dairy cattle.