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利用RNA测序对具有不同饲料效率的中国肉牛进行表征及十二指肠转录组分析

Characterization and Duodenal Transcriptome Analysis of Chinese Beef Cattle With Divergent Feed Efficiency Using RNA-Seq.

作者信息

Yang Chaoyun, Han Liyun, Li Peng, Ding Yanling, Zhu Yun, Huang Zengwen, Dan Xingang, Shi Yuangang, Kang Xiaolong

机构信息

School of Agriculture, Ningxia University, Yinchuan, China.

Ningxia Agriculture Reclamation Helanshan Diary Co.Ltd., Yinchuan, China.

出版信息

Front Genet. 2021 Oct 5;12:741878. doi: 10.3389/fgene.2021.741878. eCollection 2021.

Abstract

Residual feed intake (RFI) is an important measure of feed efficiency for agricultural animals. Factors associated with cattle RFI include physiology, dietary factors, and the environment. However, a precise genetic mechanism underlying cattle RFI variations in duodenal tissue is currently unavailable. The present study aimed to identify the key genes and functional pathways contributing to variance in cattle RFI phenotypes using RNA sequencing (RNA-seq). Six bulls with extremely high or low RFIs were selected for detecting differentially expressed genes (DEGs) by RNA-seq, followed by conducting GO, KEGG enrichment, protein-protein interaction (PPI), and co-expression network (WGCNA, = 10) analysis. A total of 380 differentially expressed genes was obtained from high and low RFI groups, including genes related to energy metabolism (ALDOA, HADHB, INPPL1), mitochondrial function (NDUFS1, RFN4, CUL1), and feed intake behavior (CCK). Two key sub-networks and 26 key genes were detected using GO analysis of DEGs and PPI analysis, such as TPM1 and TPM2, which are involved in mitochondrial pathways and protein synthesis. Through WGCNA, a gene network was built, and genes were sorted into 27 modules, among which the blue ( = 0.72, = 0.03) and salmon modules ( = -0.87, = 0.002) were most closely related with RFI. DEGs and genes from the main sub-networks and closely related modules were largely involved in metabolism; oxidative phosphorylation; glucagon, ribosome, and N-glycan biosynthesis, and the MAPK and PI3K-Akt signaling pathways. Through WGCNA, five key genes, including FN1 and TPM2, associated with the biological regulation of oxidative processes and skeletal muscle development were identified. Taken together, our data suggest that the duodenum has specific biological functions in regulating feed intake. Our findings provide broad-scale perspectives for identifying potential pathways and key genes involved in the regulation of feed efficiency in beef cattle.

摘要

剩余采食量(RFI)是衡量家畜饲料效率的一项重要指标。与牛RFI相关的因素包括生理因素、日粮因素和环境因素。然而,目前尚不清楚十二指肠组织中牛RFI变异背后的确切遗传机制。本研究旨在通过RNA测序(RNA-seq)确定导致牛RFI表型变异的关键基因和功能通路。选择6头RFI极高或极低的公牛,通过RNA-seq检测差异表达基因(DEG),随后进行基因本体论(GO)、京都基因与基因组百科全书(KEGG)富集分析、蛋白质-蛋白质相互作用(PPI)分析和共表达网络分析(加权基因共表达网络分析,WGCNA,β = 10)。高、低RFI组共获得380个差异表达基因,包括与能量代谢相关的基因(醛缩酶A、3-羟基酰基辅酶A脱氢酶β亚基、肌醇多磷酸-5-磷酸酶L1)、线粒体功能相关基因(NADH脱氢酶[泛醌]铁硫蛋白1、视黄醇脱氢酶4、Cullin 1)和采食量行为相关基因(胆囊收缩素)。通过对DEG进行GO分析和PPI分析,检测到两个关键子网和26个关键基因,如参与线粒体途径和蛋白质合成的原肌球蛋白α1和原肌球蛋白α2。通过WGCNA构建了一个基因网络,并将基因分为27个模块,其中蓝色模块(r = 0.72,P = 0.03)和鲑鱼色模块(r = -0.87,P = 0.002)与RFI关系最为密切。来自主要子网和密切相关模块的DEG和基因主要参与代谢;氧化磷酸化;胰高血糖素、核糖体和N-聚糖生物合成,以及丝裂原活化蛋白激酶(MAPK)和磷脂酰肌醇-3-激酶-蛋白激酶B(PI3K-Akt)信号通路。通过WGCNA,鉴定出5个与氧化过程的生物调节和骨骼肌发育相关的关键基因,包括纤连蛋白1和原肌球蛋白α2。综上所述,我们的数据表明十二指肠在调节采食量方面具有特定的生物学功能。我们的研究结果为识别参与肉牛饲料效率调节的潜在途径和关键基因提供了广泛的视角。

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