Effects Of High-fat Diets On RNA Methylation In Mouse Liver

In order to meet people's high demand for animal protein,increasing the lean meat rate and reducing the accumulation of subcutaneous fat of livestock are important tasks for producers.At the same time,in order to improve the meat quality,it is necessary to deposit appropriate fat in muscles.Fat metabolism plays a key role in those processes.Studying gene expression regulation of fat metabolism at molecular level can provide theoretical basis for solving the above-mentioned problems.The liver is an important place for fat metabolism.Disorders of regulation of fat metabolism-associated genes in liver can lead to pathological changes such as fat deposition,hyperglycemia and other serious diseases,such as non-alcoholic fatty liver.M6A methylation has a major impact on gene expression.Studies have shown that m6A methylation is closely related to the regulation of fat metabolism,while the m6A methylation profile of fatty liver induced by high-fat nutrition in mice has not been reported yet.In addition,m6A methylation can mediate the regulation of RNA translation,and evidence shows that translation regulation accounts for more than half of the regulation of gene expression.In this study,the liver of mice was used as a model.MeRIP-seq and RNC-seq were used to explore the effects of high-fat diet on m6A methylation patterns and translating mRNAs in the mouse liver,aiming to find out important targets related to the regulation of lipid metabolism.The results showed that compared to the control group,the liver of mice in the high-fat diet group showed a change of m6A methylation patterns,and the differentially methylated genes were significantly enriched in lipid metabolism,translation and other important biological processes.Differentially expressed RNC-mRNAs were significantly enriched in circadian rhythm,lipid metabolism and other important biological processes.These differentially methylated genes and differentially expressed RNC-mRNA coding genes can be used as candidate genes to provide a basis for future experimental validation.