摘要
目的:通过分析不同体质量皖西白鹅肝脏组织转录组表达谱,挖掘影响肝脏代谢的差异表达基因及相关代谢通路,探究不同体质量皖西白鹅肝脏组织对营养物质转化利用和代谢的影响.方法:根据平均日增重将皖西白鹅进行分组,分为高(H)、中(M)、低(L)组,对每组样本进行转录组测序分析,挖掘各组之间的差异表达基因,并随机筛选6个差异基因进行荧光定量PCR验证.利用GO和KEGG数据库对挖掘的差异表达基因进行功能注释分析.结果:分别从H vs M、H vs L和M vs L组中筛选差异表达基因334、256、380个;这些差异基因主要参与的信号通路包括氨基酸代谢、脂质代谢、碳水化合物代谢等.结论:基于转录组测序技术对不同体质量皖西白鹅肝脏组织进行研究分析,筛选调控体质量的差异表达基因(UGP2、SCD、PNPLA2、SLC7A3、CHAC1).这些差异基因主要通过脂质代谢和氨基酸代谢等相关通路来调控肝脏组织的物质代谢和转化,初步探究了肝代谢对鹅体质量影响的分子机制,为后期改善鹅的生产提供理论依据.
Abstract
Objective:To screen the differentially expressed genes(DEG)and related metabolic pathways affecting liver metabolism,and to explore the effects of liver tissue on nutrient conversion,utilization and metabolism of Wanxi white geese with different weight by analyzing the transcriptome expression profile of their liver tissues.Methods:According to the average daily gain,Wanxi white geese were divided into three groups:high(H),middle(M)and low(L).Transcriptome sequencing analysis was performed on the samples of each group.The DEGs among the groups were excavated,and 6 DEGs were randomly selected for fluorescence quantitative PCR validation.Functional annotation analysis of the DEGs was performed by using GO and KEGG databases.Results:334,256,380 DEGs were screened from the H vs M,H vs L and M vs L groups,respectively.The signaling pathways involved in these DEGs include amino acid metabolism,lipid metabolism,and carbohydrate metabolism.Conclusion:The liver tissues of Wanxi white geese with different body weight were analyzed based on transcriptional sequencing technology,and the DEGs(UGP2,SCD,PNPLA2,SLC7A3,CHACl)regulating body weight were screened.These DEGs regulate the metabolism and transformation of substances in liver mainly through related pathways such as lipid metabolism and amino acid metabolism.The molecular mechanism of the effect of liver metabolism on goose body weight was explored,which provided theoretical basis for the improvement of goose production in the later stage.
基金项目
安徽省科技重大专项(17030701004)
安徽省科技重大专项(201903a06020002)
安徽省地方鹅种基因库项目()
安徽科技学院人才引进项目(DKYJ202105)
安徽省大学生创新创业训练计划项目(S202210879204)
维普
万方数据