THE VERIFICATION OF DIFFERENTIALLY EXPRESSED GENES RELATED TO FEATHER COLOUR IN QUAIL EMBRYOS BY RT-qPCR BASED ON RNA-seq

被引:2
|
作者
Hu, Yunqi [1 ]
Zhang, Xiaohui [1 ,2 ]
Pang, Youzhi [1 ,2 ]
Qi, Yanxia [1 ,2 ]
Wang, Qiankun [1 ]
Zhao, Yiwei [1 ]
Yuan, Zhiwen [1 ]
Wang, Tao [1 ]
Huo, Linke [1 ]
Ren, Shiwei [1 ]
机构
[1] Henan Univ Sci & Technol, Coll Anim Sci, Luoyang 471003, Henan, Peoples R China
[2] Luoyang Key Lab Anim Genet & Breeding, Luoyang 471003, Henan, Peoples R China
来源
关键词
quail; RT-qPCR; gene expression; RNA-seq; feather colour; JAPANESE-QUAIL; CATHEPSIN-D; MUTATIONS;
D O I
10.7546/CRABS.2022.08.06
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Many differentially expressed genes associated with feather colour in quail embryos can be screened using RNA-seq technology. The aim of this study was to verify the accuracy of RNA-seq using RT-qPCR. The transcriptome of embryonic skin tissues of quails were sequenced by Illumina HiSeq TM2000 sequencing platform. As a result, 2512 differentially expressed genes were found. Among them, 950 differentially expressed genes were up-regulated in the skin tissues of white-feather quail embryos, and 1562 differentially expressed genes were down-regulated. The candidate genes were analyzed by RT-qPCR method to verify the accuracy and reliability of the RNA-seq. The results showed that the relative expression levels of ASIP and DDC in white-feather quails were significantly increased, while HOXD1, CTSD, KRT2, MBD2 and MT1 were significantly decreased, which was consistent with the results of RNA-seq. The validation results of the candidate genes can also provide some ideas to explain the difference in feather colour between maroon-feather quails and white-feather quails.
引用
收藏
页码:1138 / 1145
页数:8
相关论文
共 50 条
  • [31] Exploring differentially expressed genes related to metabolism by RNA-Seq in goat liver after dexamethasone treatment
    Chen, Qu
    Hua, Canfeng
    Niu, Liqiong
    Geng, Yali
    Cai, Liuping
    Tao, Shiyu
    Ni, Yingdong
    Zhao, Ruqian
    GENE, 2018, 659 : 175 - 182
  • [32] Variance component testing for identifying differentially expressed genes in RNA-seq data
    Yang, Sheng
    Shao, Fang
    Duan, Weiwei
    Zhao, Yang
    Chen, Feng
    PEERJ, 2017, 5
  • [33] Robustness of single-cell RNA-seq for identifying differentially expressed genes
    Liu, Yong
    Huang, Jing
    Pandey, Rajan
    Liu, Pengyuan
    Therani, Bhavika
    Qiu, Qiongzi
    Rao, Sridhar
    Geurts, Aron M.
    Cowley Jr, Allen W.
    Greene, Andrew S.
    Liang, Mingyu
    BMC GENOMICS, 2023, 24 (01)
  • [34] Performances evaluation of algorithms for identifying differentially expressed genes in RNA-seq data
    Wu, Chin-Ting
    Tsai, Mong-Hsun
    Lu, Tzu-Pin
    Lai, Liang-Chuan
    Chuang, Eric Y.
    CANCER RESEARCH, 2015, 75
  • [35] Intravenous leiomyomatosis is inclined to a solid entity different from uterine leiomyoma based on RNA-seq analysis with RT-qPCR validation
    Wang, Wenze
    Wang, Yanfeng
    Chen, Fei
    Zhang, Ming
    Jia, Rujing
    Liu, Xingrong
    Zhang, Chaoji
    Shao, Jiang
    Cheng, Ninghai
    Ma, Guotao
    Zhu, Zhaohui
    Miao, Qi
    Liang, Zhiyong
    CANCER MEDICINE, 2020, 9 (13): : 4581 - 4592
  • [36] Small RNA-Seq and real time rt-qPCR reveal islet miRNA released under stress conditions
    Aljani, Bssam
    Lindner, Annett
    Weigelt, Marc
    Zhao, Min
    Sharma, Virag
    Bonifacio, Ezio
    Jones, Peter
    Eugster, Anne
    ISLETS, 2024, 16 (01)
  • [37] Identifying Diagnostic and Prognostic Differentially Expressed Genes of Gastric Cancer Based on RNA-seq Bioinformatics Analysis
    Wang, Minjuan
    Jiang, Xing
    Xu, Shiqi
    Deng, Yun
    Cao, Tian
    Cheng, Yao
    Zhang, Wen-Han
    Zhang, Lan
    Hu, Jiankun
    GENETIC TESTING AND MOLECULAR BIOMARKERS, 2022, 26 (11) : 512 - 521
  • [38] Mulberry Leaf Regulates Differentially Expressed Genes in Diabetic Mice Liver Based on RNA-Seq Analysis
    Ge, Qi
    Zhang, Shu
    Chen, Liang
    Tang, Min
    Liu, Lanlan
    Kang, Mengna
    Gao, Lu
    Ma, Shangshang
    Yang, Yanhua
    Lv, Peng
    Kong, Ming
    Yao, Qin
    Feng, Fan
    Chen, Keping
    FRONTIERS IN PHYSIOLOGY, 2018, 9
  • [39] Exploring differentially expressed genes related to metabolism by RNA-Seq in porcine embryonic fibroblast after insulin treatment
    Liang, Yingjuan
    Wang, Jinpeng
    Li, Xinyu
    Wu, Shuang
    Jiang, Chaoqian
    Wang, Yue
    Li, Xuechun
    Liu, Zhong-Hua
    Mu, Yanshuang
    JOURNAL OF VETERINARY SCIENCE, 2022, 23 (06)
  • [40] Identification of Differentially Expressed Genes and Molecular Pathways Involved in Osteoclastogenesis Using RNA-seq
    Rashid, Sarah
    Wilson, Scott G.
    Zhu, Kun
    Walsh, John P.
    Xu, Jiake
    Mullin, Benjamin H.
    GENES, 2023, 14 (04)