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首页> 外文期刊>Acta Horticulturae >Towards Understanding the Mechanism of Host Resistance to Downy Mildew Disease of Grapevine by Using Genome Wide Expression Profiling Analysis
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Towards Understanding the Mechanism of Host Resistance to Downy Mildew Disease of Grapevine by Using Genome Wide Expression Profiling Analysis

机译:应用基因组宽表达谱分析法了解宿主对葡萄霜霉病抗性的机理

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Downy mildew is the single most damaging disease of grapes (Vitis L.) worldwide. A new digital gene expression profiling method was used to estimate gene expression from quantification of expressed sequenced genes. In this report, short sequence readswere generated using restriction digested cDNAs and Solexa technology. This approach was used for deep sequencing transcripts derived from downy mildew infected leaves of Vitis amurensis Rupr. 'Zuoshan-1'. Approximately 8.5 M 21-nt cDNA tags were sequenced in the cDNA library derived from pathogen-infected leaves, and about 7.5 M were sequenced from the cDNA library constructed from the control leaves. After filtering out low quality tags, 8,246,575 and 7,333,564 clean tags remained in the infected (INF) and control (CON) library, respectively, from which 227,799 (INF) and 197,984 (CON) unique tags were obtained. After annotation approximately 7.3 M tags in INF and 6.6 M in CON library were from 'Pinot Noir' karyogene sequences. Few tags matched genesfrom the Chloroplast (95 in INF and 93 in CON) and Mitochondrion (1110 in INF and 821 in CON). Tags matched to sense and antisense genes were both calculated. Even if the sense genes occupied the greatest part of total genes, the antisense transcripts were also expressed at noticeable level.
机译:霜霉病是全世界葡萄(Vitis L.)中唯一最具破坏力的疾病。一种新的数字基因表达谱分析方法用于从表达的测序基因的定量估计基因表达。在本报告中,使用限制性酶切的cDNA和Solexa技术生成了短序列读数。该方法用于源自霜霉病感染葡萄(Vitis amurensis Rupr)的霜霉病感染叶片的深度测序转录物。左山一号在源自病原体感染的叶片的cDNA文库中,对大约8.5 M的21-nt cDNA标签进行了测序,从由对照叶片构建的cDNA文库中,对约7.5 M进行了测序。滤除低质量标签后,分别在感染(INF)和对照(CON)库中保留了8,246,575和7,333,564个干净标签,从中分别获得227,799(INF)和197,984(CON)唯一标签。注释后,INF中的约7.3 M标签和CON库中的约6.6 M标签来自“黑皮诺”核基因序列。很少有标签能够与叶绿体(INF中的95和CON中的93)和线粒体(INF中的1110和CON中的821)的基因相匹配。计算与有义和反义基因匹配的标签。即使有义基因占总基因的最大部分,反义转录物也以明显的水平表达。

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