Identification and characterization of conserved and novel microRNAs in Xanthoceras sorbifolium via deep sequencing

被引:2
|
作者
Bi, Quanxin [1 ]
Guo, Bin
Zhang, Dongxu [2 ]
Guan, Wenbin [1 ]
机构
[1] Beijing Forestry Univ, Sch Nat Conservat, Beijing 100083, Peoples R China
[2] Datong Univ, Crops Inst Alpine Reg, Datong 037009, Shanxi, Peoples R China
关键词
MicroRNA; qRT-PCR; Xanthoceras sorbifolium; Deep sequencing; STRESS-RESPONSIVE MICRORNAS; SMALL RNAS; ARABIDOPSIS; EXPRESSION; REVEALS; PIRNAS; GENES; PLANT; PIWI;
D O I
10.1007/s13258-014-0248-z
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
Xanthoceras sorbifolium is an economically important woody plant in China. Plant microRNAs (miRNAs) play a vital role in plant development. We used Solexa technology to sequence a small RNA library from the buds, young and mature leaves, flowers, and developing seeds (10, 30, and 60 days after pollination) of X. sorbifolium to identify conserved and novel miRNAs. Sequence analysis identified 49 conserved miRNAs belonging to 19 miRNA families, as well as four novel miRNAs. An analysis of 10 miRNA sequences by qRT-PCR showed that all sequences were expressed and that they were dynamically regulated in different tissues. Finally, seven targets of the novel miRNAs were predicted. This study opens up a new avenue for understanding the roles of miRNAs in X. sorbifolium.
引用
收藏
页码:281 / 286
页数:6
相关论文
共 50 条
  • [1] Identification and characterization of conserved and novel microRNAs in Xanthoceras sorbifolium via deep sequencing
    Quanxin Bi
    Bin Guo
    Dongxu Zhang
    Wenbin Guan
    Genes & Genomics, 2015, 37 : 281 - 286
  • [2] Identification of conserved and novel microRNAs in Porphyridium purpureum via deep sequencing and bioinformatics
    Gao, Fan
    Nan, Fangru
    Feng, Jia
    Lv, Junping
    Liu, Qi
    Xie, Shulian
    BMC GENOMICS, 2016, 17
  • [3] Identification of conserved and novel microRNAs in Porphyridium purpureum via deep sequencing and bioinformatics
    Fan Gao
    Fangru Nan
    Jia Feng
    Junping Lv
    Qi Liu
    Shulian Xie
    BMC Genomics, 17
  • [4] Identification of Conserved and Novel microRNAs in Cashmere Goat Skin by Deep Sequencing
    Liu, Zhihong
    Xiao, Hongmei
    Li, Huipeng
    Zhao, Yanhong
    Lai, Shuangying
    Yu, Xinlei
    Cai, Ting
    Du, Chenguang
    Zhang, Wenguang
    Li, Jinquan
    PLOS ONE, 2012, 7 (12):
  • [5] Identification of Novel and Conserved MicroRNAs Related to Drought Stress in Potato by Deep Sequencing
    Zhang, Ning
    Yang, Jiangwei
    Wang, Zemin
    Wen, Yikai
    Wang, Jie
    He, Wenhui
    Liu, Bailin
    Si, Huaijun
    Wang, Di
    PLOS ONE, 2014, 9 (04):
  • [6] Identification of the conserved and novel microRNAs by deep sequencing and prediction of their targets in Topmouth culter
    Huang, Yong
    Gong, Wangbao
    Ren, Hongtao
    Xiong, Jianli
    Gao, Xiaochan
    Sun, Xihong
    GENE, 2017, 626 : 298 - 304
  • [7] Identification of Conserved and Novel MicroRNAs in the Pacific Oyster Crassostrea gigas by Deep Sequencing
    Xu, Fei
    Wang, Xiaotong
    Feng, Yue
    Huang, Wen
    Wang, Wei
    Li, Li
    Fang, Xiaodong
    Que, Huayong
    Zhang, Guofan
    PLOS ONE, 2014, 9 (08):
  • [8] Identification and profiling of novel and conserved microRNAs during the flower opening process in Prunus mume via deep sequencing
    Tao Wang
    Huitang Pan
    Jia Wang
    Weiru Yang
    Tangren Cheng
    Qixiang Zhang
    Molecular Genetics and Genomics, 2014, 289 : 169 - 183
  • [9] Identification and profiling of novel and conserved microRNAs during the flower opening process in Prunus mume via deep sequencing
    Wang, Tao
    Pan, Huitang
    Wang, Jia
    Yang, Weiru
    Cheng, Tangren
    Zhang, Qixiang
    MOLECULAR GENETICS AND GENOMICS, 2014, 289 (02) : 169 - 183
  • [10] Genome-wide identification and characterization of conserved and novel microRNAs in grass carp (Ctenopharyngodon idella) by deep sequencing
    Gong, Wangbao
    Huang, Yong
    Xie, Jun
    Wang, Guangjun
    Yu, Deguang
    Sun, Xihong
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2017, 68 : 92 - 100