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首页> 外文期刊>Cereal Research Communications >Regulation of NBS-LRR Genes by MicroRNAs in Wheat: Computational Identification of Candidate MIR-2118 Genes and Evidence of Flexibility
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Regulation of NBS-LRR Genes by MicroRNAs in Wheat: Computational Identification of Candidate MIR-2118 Genes and Evidence of Flexibility

机译:小麦Micrornas对NBS-LRR基因的调节:候选MIR-2118基因的计算鉴定和灵活性证据

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摘要

Plant microRNAs are crucial for post-transcriptional regulation of gene expression, with some of them particularly involved in regulating several disease resistance (R) genes. This study is a computational screening for microRNAs potentially involved in the regulation of disease resistance in bread wheat Triticum aestivum, through the genome and transcriptome of this crop species. We used plant miRNAs of the superfamily miR-482/2118 to find complementarities with the expressed sequence tags (ESTs) coding NBS-LRR proteins of the bread wheat. This analysis revealed a vast recognition potential, highlighting highly variable miRNA-mRNA hybridization schemes. Precursors of miR-2118/482 sequences that showed a potential for recognizing wheat NBS-LRR ESTs were used as input for similarity search in the T. aestivum transcriptome shotgun assemblies (TSA) database, enabling the identification of a couple of wheat TSA sequences (JV952948.1 and JV851699.1) that were predicted to adopt a stable miRNA/miRNA* duplex structure. The genomic regions corresponding to both predicted tae-miR-2118 genes were determined on wheat chromosomes 2DL and 5AS. The findings of the present study will contribute to a better understanding of R gene expression regulation in wheat.
机译:植物microRNAS对于基因表达后转录调节至关重要,其中一些特别参与调节几种疾病抵抗(R)基因。该研究是微小RNA的计算筛查,可能涉及通过这种作物物种的基因组和转录组在面包小麦特托病毒中的疾病抗性调节。我们使用Superfamily miR-482/2118的植物miRNA,以查找具有表达的序列标签(EST)编码面包小麦的NBS-LRR蛋白的互补性。该分析揭示了巨大的识别潜力,突出了高度可变的miRNA-mRNA杂交方案。 MiR-2118/482序列的前体,显示识别小麦NBS-LRR EST的电位作为相似性搜索的输入,以AESTIVUM转录组霰弹枪组件(TSA)数据库中的相似性搜索,从而能够识别几个小麦TSA序列( JV952948.1和JV851699.1)预测采用稳定的miRNA / miRNA *双工结构。对应于预测的Tae-miR-2118基因的基因组区域在小麦染色体2dl和5as上测定。本研究的结果将有助于更好地了解小麦的R基因表达调控。

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