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Genome-Enhanced Detection and Identification (GEDI) of plant pathogens

机译:植物病原体的基因组增强检测和鉴定(GEDI)

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摘要

Plant diseases caused by fungi and Oomycetes represent worldwide threats to crops and forest ecosystems. Effective prevention and appropriate management of emerging diseases rely on rapid detection and identification of the causal pathogens. The increase in genomic resources makes it possible to generate novel genome-enhanced DNA detection assays that can exploit whole genomes to discover candidate genes for pathogen detection. A pipeline was developed to identify genome regions that discriminate taxa or groups of taxa and can be converted into PCR assays. The modular pipeline is comprised of four components: (1) selection and genome sequencing of phylogenetically related taxa, (2) identification of clusters of orthologous genes, (3) elimination of false positives by filtering, and (4) assay design. This pipeline was applied to some of the most important plant pathogens across three broad taxonomic groups: Phytophthoras (Stramenopiles, Oomycota), Dothideomycetes (Fungi, Ascomycota) and Pucciniales (Fungi, Basidiomycota). Comparison of 73 fungal and Oomycete genomes led the discovery of 5,939 gene clusters that were unique to the targeted taxa and an additional 535 that were common at higher taxonomic levels. Approximately 28% of the 299 tested were converted into qPCR assays that met our set of specificity criteria. This work demonstrates that a genome-wide approach can efficiently identify multiple taxon-specific genome regions that can be converted into highly specific PCR assays. The possibility to easily obtain multiple alternative regions to design highly specific qPCR assays should be of great help in tackling challenging cases for which higher taxon-resolution is needed.
机译:由真菌和卵菌引起的植物病害构成了对作物和森林生态系统的全球性威胁。有效预防和适当管理新兴疾病取决于对致病菌的快速检测和识别。基因组资源的增加使得有可能产生新颖的基因组增强的DNA检测方法,该方法可以利用整个基因组来发现用于病原体检测的候选基因。开发了管道以识别可区分分类群或分类群的基因组区域,并可将其转换为PCR分析。模块化管道由四个部分组成:(1)系统发育相关分类单元的选择和基因组测序;(2)直系同源基因簇的鉴定;(3)通过过滤消除假阳性;以及(4)分析设计。该管道已应用于三个广泛的生物分类组中的一些最重要的植物病原体:疫霉菌(Stramenopiles,卵菌纲),十二碳菌(真菌,子囊菌)和丁香菌(真菌,Basidiomycota)。通过比较73个真菌和卵菌纲基因组,发现了5939个基因簇,这些基因簇是目标分类群所独有的,另外还有535个在较高的分类学水平上很常见。所测试的299种样品中约有28%被转换为符合我们的特异性标准的qPCR分析。这项工作表明,全基因组方法可以有效地识别多个分类群特异性基因组区域,这些区域可以转化为高度特异性的PCR检测方法。轻松获得多个可供选择的区域来设计高度特异性qPCR分析的可能性,对于解决需要更高分类单元分辨率的挑战性案例将大有帮助。

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