Suppr超能文献

基于DNA微阵列技术的甜菜根腐病病原菌检测方法的开发

Development of a DNA Microarray-Based Assay for the Detection of Sugar Beet Root Rot Pathogens.

作者信息

Liebe Sebastian, Christ Daniela S, Ehricht Ralf, Varrelmann Mark

机构信息

First, second, and fourth authors: Institute of Sugar Beet Research, Holtenser Landstr. 77, 37079 Göttingen, Germany; and third author: Alere Technologies GmbH, Löbstedter Str. 105, 07743 Jena, Germany, and InfectoGnostics Research Campus Jena, Germany.

出版信息

Phytopathology. 2016 Jan;106(1):76-86. doi: 10.1094/PHYTO-07-15-0171-R. Epub 2015 Dec 22.

Abstract

Sugar beet root rot diseases that occur during the cropping season or in storage are accompanied by high yield losses and a severe reduction of processing quality. The vast diversity of microorganism species involved in rot development requires molecular tools allowing simultaneous identification of many different targets. Therefore, a new microarray technology (ArrayTube) was applied in this study to improve diagnosis of sugar beet root rot diseases. Based on three marker genes (internal transcribed spacer, translation elongation factor 1 alpha, and 16S ribosomal DNA), 42 well-performing probes enabled the identification of prevalent field pathogens (e.g., Aphanomyces cochlioides), storage pathogens (e.g., Botrytis cinerea), and ubiquitous spoilage fungi (e.g., Penicillium expansum). All probes were proven for specificity with pure cultures from 73 microorganism species as well as for in planta detection of their target species using inoculated sugar beet tissue. Microarray-based identification of root rot pathogens in diseased field beets was successfully confirmed by classical detection methods. The high discriminatory potential was proven by Fusarium species differentiation based on a single nucleotide polymorphism. The results demonstrate that the ArrayTube constitute an innovative tool allowing a rapid and reliable detection of plant pathogens particularly when multiple microorganism species are present.

摘要

在种植季节或储存期间发生的甜菜根腐病会导致产量大幅损失,并严重降低加工品质。参与根腐病发展的微生物种类繁多,需要分子工具来同时鉴定许多不同的目标。因此,本研究应用了一种新的微阵列技术(ArrayTube)来改进甜菜根腐病的诊断。基于三个标记基因(内转录间隔区、翻译延伸因子1α和16S核糖体DNA),42个性能良好的探针能够鉴定常见的田间病原体(如甜菜丝囊霉)、储存病原体(如灰葡萄孢)和常见的腐败真菌(如扩展青霉)。所有探针均通过73种微生物的纯培养物验证了特异性,并通过接种甜菜组织在植物体内检测了其目标物种。基于微阵列的患病田间甜菜根腐病原体鉴定已通过经典检测方法成功证实。基于单核苷酸多态性的镰刀菌物种分化证明了其高鉴别潜力。结果表明,ArrayTube构成了一种创新工具,能够快速可靠地检测植物病原体,特别是在存在多种微生物的情况下。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验