Microarray-based analysis of cadmium-responsive microRNAs in rice (Oryza sativa).
Microarray-based analysis of cadmium-responsive microRNAs in rice (Oryza sativa).
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基于微阵列的水稻镉响应 microRNA 分析（Oryza sativa）
DOI：
10.1093/jxb/err046
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发表时间：
2011-06
影响因子：
6.9
通讯作者：
Zhu C
中科院分区：
文献类型：
--
作者：
Ding Y;Chen Z;Zhu C
MicroRNA（miRNAs）是一类在转录后水平负调控特定靶mRNA的非编码小RNA。植物miRNAs参与发育过程和对环境胁迫的适应。镉（Cd）是一种非必需的重金属，对植物具有很高的毒性。为了研究miRNA在镉胁迫下的响应功能，采用基因芯片技术分析了镉胁迫下水稻（Oryza sativa）的miRNA表达。共鉴定了19个Cd响应性miRNA，其中6个进一步通过实验验证。还预测了这些Cd响应性miRNA的靶基因，其编码转录因子和与代谢过程或应激反应相关的蛋白质。此外，镉胁迫下，几个靶基因的mRNA水平与相应的miRNAs呈负相关。启动子分析表明，金属胁迫响应的顺式元件往往更频繁地出现在镉响应的miRNA的启动子区域。这些结果表明，miRNAs在水稻耐镉性中起重要作用，并揭示了植物耐重金属的一种新的分子机制。
MicroRNAs (miRNAs) are a class of small non-coding RNAs that negatively regulate specific target mRNAs at the post-transcriptional level. Plant miRNAs have been implicated in developmental processes and adaptations to environmental stresses. Cadmium (Cd) is a non-essential heavy metal that is highly toxic to plants. To investigate the responsive functions of miRNAs under Cd stress, miRNA expression in Cd-stressed rice (Oryza sativa) was profiled using a microarray assay. A total of 19 Cd-responsive miRNAs were identified, of which six were further validated experimentally. Target genes were also predicted for these Cd-responsive miRNAs, which encoded transcription factors, and proteins associated with metabolic processes or stress responses. In addition, the mRNA levels of several targets were negatively correlated with the corresponding miRNAs under Cd stress. Promoter analysis showed that metal stress-responsive cis-elements tended to occur more frequently in the promoter regions of Cd-responsive miRNAs. These findings suggested that miRNAs played an important role in Cd tolerance in rice, and highlighted a novel molecular mechanism of heavy metal tolerance in plants.
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影响因子：
14.9
作者：
Chen C;Ridzon DA;Broomer AJ;Zhou Z;Lee DH;Nguyen JT;Barbisin M;Xu NL;Mahuvakar VR;Andersen MR;Lao KQ;Livak KJ;Guegler KJ
通讯作者：
Guegler KJ
水稻中植物激素调节的 microRNA 的表达分析，表明它们在植物激素信号传导中的调节作用
影响因子：
3.5
作者：
Liu, Qing;Zhang, Yu-Chan;Chen, Yue-Qin
通讯作者：
Chen, Yue-Qin
影响因子：
16
作者：
Jones-Rhoades, MW;Bartel, DP
通讯作者：
Bartel, DP
影响因子：
5.1
作者：
Agalou, Adamantia;Purwantomo, Sigit;Ouwerkerk, Pieter B. F.
通讯作者：
Ouwerkerk, Pieter B. F.
影响因子：
11.6
作者：
Aukerman, MJ;Sakai, H
通讯作者：
Sakai, H