Identification and characterization of hypothalamic circular RNAs associated with bovine residual feed intake

生物 残余进料口 小桶 基因 转录组 RNA序列 代谢途径 表型 遗传学 折叠变化 生物途径 基因表达谱 小RNA 计算生物学 基因表达 饲料转化率 内分泌学 体重
作者
Леи Жао,Yanling Ding,Chaoyun Yang,Pengfei Wang,Zhiyan Zhao,Ying Ma,Yuangang Shi,Xiaolong Kang
出处
期刊:Gene [Elsevier BV]
卷期号:851: 147017-147017 被引量:9
标识
DOI:10.1016/j.gene.2022.147017
摘要

Residual feed intake (RFI) is crucial economic indicator used for calculating the feed efficiency of growing beef cattle. circRNA plays an important biological role in gene transcriptional regulation, but little is known about its potential functional regulation underlying RFI phenotypic variation. As the core center of regulation of animal feeding, the hypothalamus is closely associated with RFI. Therefore, the present study aimed to identify the key genes and functional pathways contributing to variance in cattle RFI phenotypes using RNA sequencing from hypothalamic tissue samples, in order to gain insight into the potential regulatory role of circRNAs in bovine RFI phenotypic variation. Differentially expressed genes were detected by RNA sequencing for beef cattle in the high and low RFI groups, followed by GO, KEGG enrichment, and circRNA-miRNA co-expression network analysis. A total of 257 circRNAs were differentially expressed between the two groups, with 128 significantly upregulated and 129 significantly downregulated genes in H group compared to L group. Among them, 9 unique circRNAs were present in group L and 4 unique circRNAs were present in group H. GO and KEGG enrichment analysis of the source genes of the differentially expressed circRNAs revealed that they were mainly involved in metabolic processes, such as cellular metabolic processes, cellular macromolecular metabolic processes, and regulatory pathways related to nutrient metabolism, including protein and amino acid metabolism, as well as vitamin metabolism and pancreatic secretion associated with the animal feeding behavior. The circRNAs detected in this study were mostly novel, and have not been investigated directly to be associated with the RFI phenotype. Interestingly, most miRNAs of differentially expressed circRNAs predicted based on the circRNA-miRNA co-expression network analysis by using top 50 differentially expressed circRNAs and 13 unique circRNAs, have been reported to be related to animal RFIs, implying that circRNAs in bovine hypothalamic tissue may regulate phenotypic variation in RFI through miRNAs. The study results illustrate the complex biological functions of the hypothalamus in regulating feed efficiency and showing the potential role of circRNAs in the feeding behavior regulation of livestock, which would contributing to expanding the understanding of circRNA.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
早知道发布了新的文献求助10
刚刚
阿盛完成签到,获得积分10
刚刚
向日葵完成签到,获得积分10
1秒前
jjkktt发布了新的文献求助10
1秒前
dd完成签到,获得积分10
1秒前
liufengjie完成签到,获得积分10
1秒前
zzk发布了新的文献求助10
1秒前
拼搏白易完成签到 ,获得积分10
2秒前
Fanfan完成签到 ,获得积分10
2秒前
木子完成签到,获得积分10
2秒前
沉静凡双发布了新的文献求助10
2秒前
细心黎昕完成签到,获得积分10
3秒前
TL完成签到,获得积分10
3秒前
茉莉完成签到,获得积分10
3秒前
充电宝应助冷木子采纳,获得10
4秒前
汉堡包应助晓柒nc采纳,获得10
4秒前
于林渤发布了新的文献求助10
4秒前
轻松的颦完成签到,获得积分10
4秒前
所所应助ytqs采纳,获得10
4秒前
ZONG发布了新的文献求助10
5秒前
5秒前
why完成签到,获得积分10
5秒前
5秒前
研友_5Z4ZA5完成签到,获得积分10
5秒前
旺旺完成签到,获得积分10
5秒前
5秒前
5秒前
安静的之玉完成签到,获得积分10
6秒前
小凯完成签到,获得积分20
6秒前
叼得一完成签到,获得积分10
7秒前
真理发布了新的文献求助30
7秒前
8秒前
8秒前
yyy124完成签到,获得积分10
8秒前
8秒前
希望天下0贩的0应助DTS采纳,获得10
9秒前
东木耳语完成签到,获得积分10
9秒前
奚斌完成签到,获得积分10
9秒前
无情萝发布了新的文献求助10
9秒前
尼萌尼萌完成签到,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7759944
求助须知:如何正确求助?哪些是违规求助? 9305225
关于积分的说明 20286180
捐赠科研通 7344075
什么是DOI,文献DOI怎么找? 3312690
关于科研通互助平台的介绍 2463217
邀请新用户注册赠送积分活动 2326679