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利用高通量测序技术在小麦(Triticum aestivum L.)中发现对叶锈病有响应的miRNA,并通过降解组分析预测其靶标。

Uncovering leaf rust responsive miRNAs in wheat (Triticum aestivum L.) using high-throughput sequencing and prediction of their targets through degradome analysis.

作者信息

Kumar Dhananjay, Dutta Summi, Singh Dharmendra, Prabhu Kumble Vinod, Kumar Manish, Mukhopadhyay Kunal

机构信息

Department of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835215, India.

QAAFI, Centre of Plant Science, The University of Queensland, Brisbane, QLD, 4072, Australia.

出版信息

Planta. 2017 Jan;245(1):161-182. doi: 10.1007/s00425-016-2600-9. Epub 2016 Oct 3.

Abstract

Deep sequencing identified 497 conserved and 559 novel miRNAs in wheat, while degradome analysis revealed 701 targets genes. QRT-PCR demonstrated differential expression of miRNAs during stages of leaf rust progression. Bread wheat (Triticum aestivum L.) is an important cereal food crop feeding 30 % of the world population. Major threat to wheat production is the rust epidemics. This study was targeted towards identification and functional characterizations of micro(mi)RNAs and their target genes in wheat in response to leaf rust ingression. High-throughput sequencing was used for transcriptome-wide identification of miRNAs and their expression profiling in retort to leaf rust using mock and pathogen-inoculated resistant and susceptible near-isogenic wheat plants. A total of 1056 mature miRNAs were identified, of which 497 miRNAs were conserved and 559 miRNAs were novel. The pathogen-inoculated resistant plants manifested more miRNAs compared with the pathogen infected susceptible plants. The miRNA counts increased in susceptible isoline due to leaf rust, conversely, the counts decreased in the resistant isoline in response to pathogenesis illustrating precise spatial tuning of miRNAs during compatible and incompatible interaction. Stem-loop quantitative real-time PCR was used to profile 10 highly differentially expressed miRNAs obtained from high-throughput sequencing data. The spatio-temporal profiling validated the differential expression of miRNAs between the isolines as well as in retort to pathogen infection. Degradome analysis provided 701 predicted target genes associated with defense response, signal transduction, development, metabolism, and transcriptional regulation. The obtained results indicate that wheat isolines employ diverse arrays of miRNAs that modulate their target genes during compatible and incompatible interaction. Our findings contribute to increase knowledge on roles of microRNA in wheat-leaf rust interactions and could help in rust resistance breeding programs.

摘要

深度测序在小麦中鉴定出497个保守的和559个新的微小RNA(miRNA),而降解组分析揭示了701个靶基因。实时定量聚合酶链反应(QRT-PCR)证明了在叶锈病发展阶段miRNA的差异表达。普通小麦(Triticum aestivum L.)是一种重要的谷类粮食作物,养活了世界30%的人口。小麦生产的主要威胁是锈病流行。本研究旨在鉴定和功能表征小麦中响应叶锈病侵染的微小(mi)RNA及其靶基因。利用高通量测序对模拟接种和病原菌接种的抗性和感病近等基因小麦植株进行转录组范围的miRNA鉴定及其对叶锈病的表达谱分析。共鉴定出1056个成熟miRNA,其中497个miRNA是保守的,559个miRNA是新的。与病原菌感染的感病植株相比,接种病原菌的抗性植株表现出更多的miRNA。由于叶锈病,感病近等基因系中的miRNA数量增加,相反,在抗性近等基因系中,响应致病过程miRNA数量减少,这说明在亲和与非亲和互作过程中miRNA存在精确的空间调控。茎环定量实时PCR用于分析从高通量测序数据中获得的10个高度差异表达的miRNA。时空分析验证了近等基因系之间以及对病原菌感染响应中miRNA的差异表达。降解组分析提供了701个与防御反应、信号转导、发育、代谢和转录调控相关的预测靶基因。所得结果表明,小麦近等基因系在亲和与非亲和互作过程中利用多种miRNA阵列调节其靶基因。我们的研究结果有助于增加对微小RNA在小麦-叶锈病互作中作用的认识,并有助于锈病抗性育种计划。

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