Genome-Wide Identification and Characterization of MicroRNAs and Target Genes in Lonicera japonica.
Genome-Wide Identification and Characterization of MicroRNAs and Target Genes in Lonicera japonica.
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金银花 MicroRNA 和靶基因的全基因组鉴定和表征
DOI：
10.1371/journal.pone.0164140
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Li M
中科院分区：
文献类型：
--
作者：
Xia H;Zhang L;Wu G;Fu C;Long Y;Xiang J;Gan J;Zhou Y;Yu L;Li M
miRNAs参与基因表达的转录后调控，在植物发育过程中发挥重要作用。大叶黄杨是我国重要的药用植物之一。然而，目前关于发现L. japonica报道。在这项研究中，我们采用深度测序技术鉴定了L.日本。从花和叶组织中共获得2297万个clean reads，产生了146个保守的miRNAs，分布在20个家族和110个新的miRNAs。据此，筛选出72个在叶片和花间差异表达的miRNAs（P≤ 0. 001）及其潜在的靶基因。qRT-PCR验证表明，大部分差异表达的miRNAs在L.日本。利用Cytoscape软件构建了miRNA-mRNA和mRNA-mRNA调控网络。综上所述，本研究在L. japonica的研究，不仅首次提供了完整的miRNA表达谱，而且为L.日本在未来
MiRNAs function in post-transcriptional regulation of gene expression and play very important roles in plant development. Lonicera japonica is one of the important medicinal plants in China. However, few studies on the discovery of conserved and novel miRNAs from L. japonica were reported. In this study, we employed deep sequencing technology to identify miRNAs in leaf and flower tissues of L. japonica. A total of 22.97 million clean reads from flower and leaf tissues were obtained, which generated 146 conserved miRNAs distributed in 20 families and 110 novel miRNAs. Accordingly, 72 differentially expressed miRNAs (P≤0.001) between leaves and flowers and their potential target genes were identified and validated. The qRT-PCR validation showed that majority of the differentially expressed miRNAs showed significant tissue-specific expression in L. japonica. Furthermore, the miRNA-mRNA and mRNA-mRNA regulatory networks were constructed using Cytoscape software. Taken together, this study identified a large number of miRNAs and target genes in L. japonica, which not only provides the first global miRNA expression profiles, but also sheds light on functional genomics research on L. japonica in the future.
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影响因子：
3.7
作者：
Fahlgren N;Howell MD;Kasschau KD;Chapman EJ;Sullivan CM;Cumbie JS;Givan SA;Law TF;Grant SR;Dangl JL;Carrington JC
通讯作者：
Carrington JC
影响因子：
5.8
作者：
Bonnet, E;Wuyts, J;Van de Peer, Y
通讯作者：
Van de Peer, Y
Mirbase：MicroRNA基因组学的工具。
影响因子：
14.9
作者：
Griffiths-Jones, Sam;Saini, Harpreet Kaur;van Dongen, Stijn;Enright, Anton J.
通讯作者：
Enright, Anton J.
影响因子：
3.5
作者：
Guo, An-Yuan;Zhu, Qi-Hui;Luo, Jingchu
通讯作者：
Luo, Jingchu
影响因子：
11.6
作者：
Guo, HS;Xie, Q;Chua, NH
通讯作者：
Chua, NH