Deep Sequencing Analysis of miRNA Expression in Breast Muscle of Fast-Growing and Slow-Growing Broilers

被引:46
作者
Ouyang, Hongjia [1 ,2 ,3 ]
He, Xiaomei [1 ,2 ,3 ]
Li, Guihuan [1 ,2 ,3 ]
Xu, Haiping [1 ,2 ,3 ]
Jia, Xinzheng [1 ,2 ,3 ]
Nie, Qinghua [1 ,2 ,3 ]
Zhang, Xiquan [1 ,2 ,3 ]
机构
[1] South China Agr Univ, Coll Anim Sci, Dept Anim Genet Breeding & Reprod, Guangzhou 510642, Guangdong, Peoples R China
[2] Minist Agr, Guangdong Prov Key Lab Agroanim Genom & Mol Breed, Guangzhou 510642, Guangdong, Peoples R China
[3] Minist Agr, Key Lab Chicken Genet Breeding & Reprod, Guangzhou 510642, Guangdong, Peoples R China
关键词
chicken; miRNA; high throughput sequencing; growth; SINGLE NUCLEOTIDE POLYMORPHISM; GENOME-WIDE ASSOCIATION; MICRORNA EXPRESSION; GROWTH TRAITS; BODY-WEIGHT; CHICKEN; IDENTIFICATION; PROTEIN; GENE; PROLIFERATION;
D O I
10.3390/ijms160716242
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Growth performance is an important economic trait in chicken. MicroRNAs (miRNAs) have been shown to play important roles in various biological processes, but their functions in chicken growth are not yet clear. To investigate the function of miRNAs in chicken growth, breast muscle tissues of the two-tail samples (highest and lowest body weight) from Recessive White Rock (WRR) and Xinghua Chickens (XH) were performed on high throughput small RNA deep sequencing. In this study, a total of 921 miRNAs were identified, including 733 known mature miRNAs and 188 novel miRNAs. There were 200, 279, 257 and 297 differentially expressed miRNAs in the comparisons of WRRh vs. WRRl, WRRh vs. XHh, WRRl vs. XHl, and XHh vs. XHl group, respectively. A total of 22 highly differentially expressed miRNAs (fold change > 2 or < 0.5; p-value < 0.05; q-value < 0.01), which also have abundant expression (read counts > 1000) were found in our comparisons. As far as two analyses (WRRh vs. WRRl, and XHh vs. XHl) are concerned, we found 80 common differentially expressed miRNAs, while 110 miRNAs were found in WRRh vs. XHh and WRRl vs. XHl. Furthermore, 26 common miRNAs were identified among all four comparisons. Four differentially expressed miRNAs (miR-223, miR-16, miR-205a and miR-222b-5p) were validated by quantitative real-time RT-PCR (qRT-PCR). Regulatory networks of interactions among miRNAs and their targets were constructed using integrative miRNA target-prediction and network-analysis. Growth hormone receptor (GHR) was confirmed as a target of miR-146b-3p by dual-luciferase assay and qPCR, indicating that miR-34c, miR-223, miR-146b-3p, miR-21 and miR-205a are key growth-related target genes in the network. These miRNAs are proposed as candidate miRNAs for future studies concerning miRNA-target function on regulation of chicken growth.
引用
收藏
页码:16242 / 16262
页数:21
相关论文
共 50 条
  • [1] Comparison of the Genome-Wide DNA Methylation Profiles between Fast-Growing and Slow-Growing Broilers
    Hu, Yongsheng
    Xu, Haiping
    Li, Zhenhui
    Zheng, Xuejuan
    Jia, Xinzheng
    Nie, Qinghua
    Zhang, Xiquan
    PLOS ONE, 2013, 8 (02):
  • [2] Comparison of muscle fiber characteristics and glycolytic potential between slow- and fast-growing broilers
    Huo, Weiran
    Weng, Kaiqi
    Li, Yi
    Zhang, Yu
    Zhang, Yang
    Xu, Qi
    Chen, Guohong
    POULTRY SCIENCE, 2022, 101 (03)
  • [3] Cassava residues in the diet of slow-growing broilers
    Vieira, Silvia Silva
    Vieira, Ernilde dos Santos
    Sousa Barbosa, Francisco Raylan
    Soares Lima, Adrielle de Cassia
    Marinho, Andressa Martins
    dos Reis, Cassio Pinho
    Tavares, Fernando Barbosa
    Sampaio Oliveira, Luis Rennan
    Alves, Kaliandra Souza
    dos Santos Neta, Ernestina Ribeiro
    ACTA AMAZONICA, 2022, 52 (03) : 189 - 198
  • [4] Comparison of the morphometric dynamics of fast-growing and slow-growing strains of turbot Scophthalmus maximus
    Wang Xin'an
    Ma Aijun
    CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2015, 33 (04) : 890 - 894
  • [5] Integrated analysis of mRNA and miRNA expression profiles reveals muscle growth differences between fast- and slow-growing king ratsnakes (Elaphe carinata)
    Khan, Shaukat Ali
    He, Jun
    Deng, Shuaitao
    Zhang, Huijuan
    Liu, Guangxuan
    Li, Shikun
    Tang, Dong
    Zhang, Jihui
    Shu, Yilin
    Wu, Hailong
    COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY B-BIOCHEMISTRY & MOLECULAR BIOLOGY, 2020, 248
  • [6] Muscle structure and gene expression in pectoralis major muscle in response to deep pectoral myopathy induction in fast- and slow-growing commercial broilers
    Yalcin, S.
    Sahin, K.
    Tuzcu, M.
    Bilgen, G.
    Ozkan, S.
    Izzetoglu, G. T.
    Isik, R.
    BRITISH POULTRY SCIENCE, 2019, 60 (03) : 195 - 201
  • [7] Transcriptome Sequencing Analysis of circRNA in Skeletal Muscle between Fast- and Slow-Growing Chickens at Embryonic Stages
    Zhang, Genxi
    Zhang, Jin
    Wu, Pengfei
    Ling, Xuanze
    Wang, Qifan
    Zhou, Kaizhi
    Li, Peifeng
    Zhang, Li
    Ye, Hongxin
    Zhang, Qi
    Wei, Qingyu
    Zhang, Tao
    Wang, Xinglong
    ANIMALS, 2022, 12 (22):
  • [8] miRNA regulation in fast- and slow-growing hybrid Larix trees
    Zhang, Shougong
    Han, Suying
    Li, Wanfeng
    Zhou, Jian
    Li, Xinmin
    Qi, Liwang
    TREES-STRUCTURE AND FUNCTION, 2012, 26 (05): : 1597 - 1604
  • [9] miRNA regulation in fast- and slow-growing hybrid Larix trees
    Shougong Zhang
    Suying Han
    Wanfeng Li
    Jian Zhou
    Xinmin Li
    Liwang Qi
    Trees, 2012, 26 : 1597 - 1604
  • [10] Muscle Fiber Characteristics and Transcriptome Analysis in Slow- and Fast-Growing Megalobrama amblycephala
    Zou, Xue
    Liu, Qi
    Guan, Qianqian
    Zhao, Ming
    Zhu, Xin
    Pan, Yaxiong
    Liu, Lusha
    Gao, Zexia
    GENES, 2024, 15 (02)