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多元回归分析揭示干旱胁迫下的 microRNA 调控网络。

Multiple Regression Analysis Reveals MicroRNA Regulatory Networks in under Drought Stress.

作者信息

Chen Jiajia, Li Liangzhi

机构信息

School of Chemistry, Biology and Materials Engineering, Suzhou University of Science and Technology, No. 1 Kerui Road, Suzhou 215011, China.

出版信息

Int J Genomics. 2018 Oct 4;2018:9395261. doi: 10.1155/2018/9395261. eCollection 2018.

Abstract

Drought is a major abiotic stress that reduces rice development and yield. miRNAs (microRNAs) are known to mediate posttranscriptional regulation under drought stress. Although the importance of individual miRNAs has been established, the crosstalks between miRNAs and mRNAs remain unearthed. Here we performed microarray analysis of miRNAs and matched mRNA expression profiles of drought-treated rice cultivar Nipponbare. Drought-responsive miRNA-mRNA regulations were identified by a combination of a partial least square (PLS) regression approach and sequence-based target prediction. A drought-induced network with 13 miRNAs and 58 target mRNAs was constructed, and four miRNA coregulatory modules were revealed. Functional analysis suggested that drought-response miRNA targets are enriched in hormone signaling, lipid and carbohydrate metabolism, and antioxidant defense. 13 candidate miRNAs and target genes were validated by RT-qPCR, hierarchical clustering, and ROC analysis. Two target genes (DWARF-3 and P0651G05.2) of miRNA coregulatory modules were further verified by RLM-5' RACE. Together, our integrative study of miRNA-mRNA interaction provided attractive candidates that will help elucidate the drought-response mechanisms in .

摘要

干旱是一种主要的非生物胁迫,会降低水稻的生长发育和产量。已知微小RNA(miRNA)在干旱胁迫下介导转录后调控。尽管单个miRNA的重要性已得到确认,但miRNA与信使核糖核酸(mRNA)之间的相互作用仍未被揭示。在此,我们对干旱处理的水稻品种日本晴进行了miRNA微阵列分析以及匹配的mRNA表达谱分析。通过偏最小二乘(PLS)回归方法与基于序列的靶标预测相结合,鉴定出干旱响应的miRNA-mRNA调控关系。构建了一个包含13个miRNA和58个靶标mRNA的干旱诱导网络,并揭示了四个miRNA共调控模块。功能分析表明,干旱响应miRNA的靶标在激素信号传导、脂质和碳水化合物代谢以及抗氧化防御中富集。通过逆转录定量聚合酶链反应(RT-qPCR)、层次聚类和ROC分析对13个候选miRNA和靶标基因进行了验证。通过RNA连接酶介导的5'端快速扩增(RLM-5' RACE)进一步验证了miRNA共调控模块的两个靶标基因(DWARF-3和P0651G05.2)。总之,我们对miRNA-mRNA相互作用的综合研究提供了有吸引力的候选对象,这将有助于阐明水稻中的干旱响应机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42ec/6196795/befb4eebebf1/IJG2018-9395261.001.jpg

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