Identification and comparative analysis of cadmium tolerance-associated miRNAs and their targets in two soybean genotypes.
Identification and comparative analysis of cadmium tolerance-associated miRNAs and their targets in two soybean genotypes.
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两种大豆基因型中镉耐受性相关 miRNA 及其靶标的鉴定和比较分析
DOI：
10.1371/journal.pone.0081471
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Yang C
中科院分区：
文献类型：
--
作者：
Fang X;Zhao Y;Ma Q;Huang Y;Wang P;Zhang J;Nian H;Yang C
MicroRNAs (miRNAs) play crucial roles in regulating the expression of various stress responses genes in plants. To investigate soybean (Glycine max) miRNAs involved in the response to cadmium (Cd), microarrays containing 953 unique miRNA probes were employed to identify differences in the expression patterns of the miRNAs between different genotypes, Huaxia3 (HX3, Cd-tolerant) and Zhonghuang24 (ZH24, Cd-sensitive). Twenty six Cd-responsive miRNAs were identified in total. Among them, nine were detected in both cultivars, while five were expressed only in HX3 and 12 were only in ZH24. The expression of 16 miRNAs was tested by qRT-PCR and most of the identified miRNAs were found to have similar expression patterns with microarray. Three hundred and seventy six target genes were identified for 204 miRNAs from a mixture degradome library, which was constructed from the root of HX3 and ZH24 with or without Cd treatment. Fifty five genes were identified to be cleaved by 14 Cd-responsive miRNAs. Gene ontology (GO) annotations showed that these target transcripts are implicated in a broad range of biological processes. In addition, the expression patterns of ten target genes were validated by qRT-PCR. The characterization of the miRNAs and the associated target genes in response to Cd exposure provides a framework for understanding the 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
影响因子：
6.9
作者：
Elobeid M;Göbel C;Feussner I;Polle A
通讯作者：
Polle A
影响因子：
9.2
作者：
Addo-Quaye, Charles;Eshoo, Tifani W.;Axtell, Michael J.
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Axtell, Michael J.
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影响因子：
6.9
作者：
Ding Y;Chen Z;Zhu C
通讯作者：
Zhu C
agriGO：农业界的 GO 分析工具包
影响因子：
14.9
作者：
Du Z;Zhou X;Ling Y;Zhang Z;Su Z
通讯作者：
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