Identification of microRNA-like RNAs from Curvularia lunata associated with maize leaf spot by bioinformation analysis and deep sequencing
Identification of microRNA-like RNAs from Curvularia lunata associated with maize leaf spot by bioinformation analysis and deep sequencing
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DOI：
10.1007/s00438-015-1128-1
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发表时间：
2016-04
影响因子：
3.1
通讯作者：
Tong Liu;John S. Hu;Y. Zuo;Yazhong Jin;J. Hou
中科院分区：
文献类型：
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作者：
Tong Liu;John S. Hu;Y. Zuo;Yazhong Jin;J. Hou
小rna的深度测序是鉴定可能参与真菌生长和发病机制的新型小rna的有用工具。在这项研究中，我们使用HiSeq深度测序鉴定了弯孢草中747,487个独特的小rna。在这些小rna中，有1012个microRNA-like rna (milrna)，它们与其他已知的microrna相似，并且使用miRBase©数据库已经鉴定出48个在其他生物中没有同源物的潜在的新型milrna。我们用定量PCR方法分析了这四种milRNAs在不同发育阶段的表达。分析揭示了与萌发分生孢子和菌丝生长相关的一些变化，表明这些milrna可能在病原体感染和菌丝生长中发挥作用。通过计算分析，共鉴定了1012种milrna的8334种靶mrna，并预测了48种新型milrna的256种靶mrna。这些mirrna的靶mrna也通过基因本体和京都基因与基因组百科全书进行通路分析。据我们所知，本研究是首次报道月球虫的milRNA谱。这些信息将有助于更好地了解病原体的发展和感染机制。
Deep sequencing of small RNAs is a useful tool to identify novel small RNAs that may be involved in fungal growth and pathogenesis. In this study, we used HiSeq deep sequencing to identify 747,487 unique small RNAs from Curvularia lunata. Among these small RNAs were 1012 microRNA-like RNAs (milRNAs), which are similar to other known microRNAs, and 48 potential novel milRNAs without homologs in other organisms have been identified using the miRBase© database. We used quantitative PCR to analyze the expression of four of these milRNAs from C. lunata at different developmental stages. The analysis revealed several changes associated with germinating conidia and mycelial growth, suggesting that these milRNAs may play a role in pathogen infection and mycelial growth. A total of 8334 target mRNAs for the 1012 milRNAs that were identified, and 256 target mRNAs for the 48 novel milRNAs were predicted by computational analysis. These target mRNAs of milRNAs were also performed by gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis. To our knowledge, this study is the first report of C. lunata’s milRNA profiles. This information will provide a better understanding of pathogen development and infection mechanism.