Pandey Ritu, Joshi Gopal, Bhardwaj Ankur R, Agarwal Manu, Katiyar-Agarwal Surekha
Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi, India.
Department of Botany, University of Delhi, Delhi, India.
PLoS One. 2014 Apr 23;9(4):e95800. doi: 10.1371/journal.pone.0095800. eCollection 2014.
Productivity of wheat crop is largely dependent on its growth and development that, in turn, is mainly regulated by environmental conditions, including abiotic stress factors. miRNAs are key regulators of gene expression networks involved in diverse aspects of development and stress responses in plants. Using high-throughput sequencing of eight small RNA libraries prepared from diverse abiotic stresses and tissues, we identified 47 known miRNAs belonging to 20 families, 49 true novel and 1030 candidate novel miRNAs. Digital gene expression analysis revealed that 257 miRNAs exhibited tissue-specific expression and 74 were associated with abiotic stresses. Putative target genes were predicted for miRNAs identified in this study and their grouping into functional categories indicated that the putative targets were involved in diverse biological processes. RLM-RACE of predicted targets of three known miRNAs (miR156, miR160 and miR164) confirmed their mRNA cleavage, thus indicating their regulation at post-transcriptional level by the corresponding miRNAs. Mapping of the sequenced data onto the wheat progenitors and closely related monocots revealed a large number of evolutionary conserved miRNAs. Additional expression profiling of some of these miRNAs in other abiotic stresses underline their involvement in multiple stresses. Our findings provide valuable resource for an improved understanding of the role of miRNAs in stress tolerance as well as plant development.
小麦作物的产量在很大程度上取决于其生长和发育,而生长和发育又主要受环境条件调控,包括非生物胁迫因素。微小RNA(miRNA)是植物基因表达网络的关键调节因子,参与植物发育和胁迫反应的多个方面。通过对从不同非生物胁迫和组织中制备的8个小RNA文库进行高通量测序,我们鉴定出47个已知的miRNA,属于20个家族,49个真正的新miRNA和1030个候选新miRNA。数字基因表达分析表明,257个miRNA表现出组织特异性表达,74个与非生物胁迫相关。对本研究中鉴定出的miRNA预测了推定的靶基因,将它们分组到功能类别中表明推定的靶基因参与了多种生物学过程。对三个已知miRNA(miR156、miR160和miR164)的预测靶标进行RLM-RACE证实了它们的mRNA切割,从而表明它们在转录后水平受到相应miRNA的调控。将测序数据映射到小麦祖先和密切相关的单子叶植物上,发现了大量进化保守的miRNA。对其中一些miRNA在其他非生物胁迫中的额外表达谱分析强调了它们参与多种胁迫。我们的研究结果为更好地理解miRNA在胁迫耐受性以及植物发育中的作用提供了宝贵资源。