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Genome-Wide Identification of miRNAs Responsive to Drought in Peach (Prunus persica) by High-Throughput Deep Sequencing

机译:高通量深度测序对桃(Prunus persica)干旱响应的miRNA的全基因组鉴定

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摘要

Peach (Prunus persica L.) is one of the most important worldwide fresh fruits. Since fruit growth largely depends on adequate water supply, drought stress is considered as the most important abiotic stress limiting fleshy fruit production and quality in peach. Plant responses to drought stress are regulated both at transcriptional and post-transcriptional level. As post-transcriptional gene regulators, miRNAs (miRNAs) are small (19–25 nucleotides in length), endogenous, non-coding RNAs. Recent studies indicate that miRNAs are involved in plant responses to drought. Therefore, Illumina deep sequencing technology was used for genome-wide identification of miRNAs and their expression profile in response to drought in peach. In this study, four sRNA libraries were constructed from leaf control (LC), leaf stress (LS), root control (RC) and root stress (RS) samples. We identified a total of 531, 471, 535 and 487 known mature miRNAs in LC, LS, RC and RS libraries, respectively. The expression level of 262 (104 up-regulated, 158 down-regulated) of the 453 miRNAs changed significantly in leaf tissue, whereas 368 (221 up-regulated, 147 down-regulated) of the 465 miRNAs had expression levels that changed significantly in root tissue upon drought stress. Additionally, a total of 197, 221, 238 and 265 novel miRNA precursor candidates were identified from LC, LS, RC and RS libraries, respectively. Target transcripts (137 for LC, 133 for LS, 148 for RC and 153 for RS) generated significant Gene Ontology (GO) terms related to DNA binding and catalytic activites. Genome-wide miRNA expression analysis of peach by deep sequencing approach helped to expand our understanding of miRNA function in response to drought stress in peach and Rosaceae. A set of differentially expressed miRNAs could pave the way for developing new strategies to alleviate the adverse effects of drought stress on plant growth and development.
机译:桃(Prunus persica L.)是世界上最重要的新鲜水果之一。由于水果的生长在很大程度上取决于充足的水供应,因此干旱胁迫被认为是最重要的非生物胁迫,限制了桃的果肉产量和品质。植物对干旱胁迫的反应在转录和转录后水平上均受到调节。作为转录后基因调节剂,miRNA(miRNA)很小(长度为19–25个核苷酸),是内源的非编码RNA。最近的研究表明,miRNA参与植物对干旱的反应。因此,Illumina深度测序技术被用于全基因组miRNA的鉴定及其对桃中干旱响应的表达谱。在这项研究中,从叶片对照(LC),叶片胁迫(LS),根部对照(RC)和根部胁迫(RS)样品构建了四个sRNA文库。我们分别在LC,LS,RC和RS库中鉴定出总共531、471、535和487个已知的成熟miRNA。 453个miRNA的262个表达水平(104个上调,158个下调)在叶片组织中发生了显着变化,而465个miRNA的368个(上调221个,上调147个下调)在表达中显着改变。干旱胁迫下的根组织。此外,分别从LC,LS,RC和RS库中鉴定出总共197、221、238和265种新颖的miRNA前体候选物。靶转录本(LC 137,LS 133,RC 148和RS 153)生成了与DNA结合和催化活性有关的重要基因本体(GO)术语。通过深度测序方法对桃子进行全基因组miRNA表达分析,有助于扩展我们对桃子和蔷薇科干旱胁迫响应的miRNA功能的了解。一组差异表达的miRNA可能为开发新策略以减轻干旱胁迫对植物生长和发育的不利影响铺平道路。

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