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9311和Nagina 22两个水稻品种孕穗期热响应微小RNA的鉴定与特征分析

Identification and characterization of heat-responsive microRNAs at the booting stage in two rice varieties, 9311 and Nagina 22.

作者信息

Luo Ying, Wang Tao, Yang Dan, Luo Biao, Wang Wei-Ping, Yu Dong, He Fu-Lin, Wang Qi-Ming, Rao Li-Qun

机构信息

College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410125, China.

College of Chemistry and Bioengineering, Hunan University of Science and Engineering, Yongzhou 425199, China.

出版信息

Genome. 2021 Nov;64(11):969-984. doi: 10.1139/gen-2020-0175. Epub 2021 Apr 26.

Abstract

MicroRNAs (miRNAs) are small, non-coding, regulatory RNAs that play important roles in abiotic stress responses in plants, but their regulatory roles in the adaptive response to heat stress at the booting stage in two rice varieties, 9311 and Nagina 22, remain largely unknown. In this study, 464 known miRNAs and 123 potential novel miRNAs were identified. Of these miRNAs, a total of 90 differentially expressed miRNAs were obtained with 9311 libraries as the control group, of which 54 were upregulated and 36 were downregulated. To gain insight into functional significance, 2773 potential target genes of these 90 differentially expressed miRNAs were predicted. GO enrichment analysis showed that the predicted target genes of differentially expressed miRNAs included NACs, LACs, CSD, and Hsp40. KEGG pathway analysis showed that the target genes of these differentially expressed miRNAs were significantly enriched in the plant hormone signal transduction pathway. The expression levels of 10 differentially expressed miRNAs and their target genes obtained by qRT-PCR were largely consistent with the sequencing results. This study lays a foundation for the elucidation of the miRNA-mediated regulatory mechanisms in rice at elevated temperatures.

摘要

微小RNA(miRNA)是一类小的、非编码的调节性RNA,在植物非生物胁迫响应中发挥重要作用,但它们在两个水稻品种9311和Nagina 22孕穗期对热胁迫的适应性反应中的调节作用仍 largely unknown。本研究鉴定出464个已知miRNA和123个潜在的新miRNA。在这些miRNA中,以9311文库为对照组共获得90个差异表达的miRNA,其中54个上调,36个下调。为深入了解其功能意义,预测了这90个差异表达miRNA的2773个潜在靶基因。GO富集分析表明,差异表达miRNA的预测靶基因包括NAC、LAC、CSD和Hsp40。KEGG通路分析表明,这些差异表达miRNA的靶基因在植物激素信号转导通路中显著富集。通过qRT-PCR获得的10个差异表达miRNA及其靶基因的表达水平与测序结果基本一致。本研究为阐明高温下水稻中miRNA介导的调控机制奠定了基础。

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