Genome-wide analysis of Water-stress-responsive microRNA expression profile in tobacco roots
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- 作者：Fuqiang Yin (1) (2)
Jian Gao (1)
Ming Liu (2)
Cheng Qin (1) (3)
Wenyou Zhang (2)
Aiguo Yang (4)
Mingzhong Xia (2)
Zhiming Zhang (1)
Yaou Shen (1)
Haijian Lin (1)
Chenggang Luo (4)
Guangtang Pan (1) - 关键词：MicroRNA expression profile ; Tobacco ; PEG treatment ; Q ; PCR
- 刊名：Functional & Integrative Genomics
- 出版年：2014
- 出版时间：June 2014
- 年：2014
- 卷：14
- 期：2
- 页码：319-332
- 全文大小：
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Jian Gao (1)
Ming Liu (2)
Cheng Qin (1) (3)
Wenyou Zhang (2)
Aiguo Yang (4)
Mingzhong Xia (2)
Zhiming Zhang (1)
Yaou Shen (1)
Haijian Lin (1)
Chenggang Luo (4)
Guangtang Pan (1)
1. Maize Research Institute of Sichuan Agricultural University/Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, 611130, China
2. School of Agricultural Sciences, Xichang College, Xichang, 615000, China
3. Zunyi Academy of Agricultural Sciences, Zunyi, 563102, China
4. Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, 266101, China - ISSN：1438-7948
文摘
MicroRNAs (miRNAs) play a pivotal role in post-transcriptional regulation of gene expression in plants. In this study, we investigate miRNAs in an agronomically important common tobacco in China, named Honghua Dajinyuan (a drought-tolerant cultivar). Here, we report a comprehensive analysis of miRNA expression profiles in mock-treat grown (CK) and 20?% polyethylene glycol-grown (PEG-grown) tobacco roots using a high-throughput sequencing approach. A total of 656 unique miRNAs representing 53 miRNA families were identified in the two libraries, of which 286 unique miRNAs representing 162 microRNAs were differentially expressed. In addition, nine differentially expressed microRNAs selected from different expressed miRNA family with high abundance were subjected to further analysis and validated by quantitative real-time PCR (Q-PCR). In addition, the expression pattern of these identified candidate conserved miRNA and target genes of three identified miRNA (nta-miR172b, nta-miR156i, and nta-miR160a) were also validated by Q-PCR. Gene ontology (GO) enrichment analysis suggests that the putative target genes of these differentially expressed miRNAs are involved in metabolic process and response to stimulus. In particular, 25 target genes are involved in regulating plant hormone signal transduction and metabolism, indicating that these association microRNAs may play important regulatory roles in responding to PEG resistance. Moreover, this study adds a significant number of novel miRNAs to the tobacco miRNome.