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首页> 外文期刊>European Journal of Plant Pathology >Disease risk assessment of sugar beet root rot using quantitative real-time PCR analysis of Aphanomyces cochlioides in naturally infested soil samples
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Disease risk assessment of sugar beet root rot using quantitative real-time PCR analysis of Aphanomyces cochlioides in naturally infested soil samples

机译:利用定量实时PCR分析自然侵染土壤样品中的甜菜根虫的疾病风险评估

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Sugar beet root rot, caused by the oomycete Aphanomyces cochlioides, is a serious and economically important disease of sugar beets world-wide. Today, disease risk assessment consists of a time-consuming greenhouse bioassay using bait plants. In the present study, a real-time quantitative PCR (qPCR) assay for determination of A. cochlioides DNA in field-infested soil samples was developed and validated using the standard bioassay. The qPCR assay proved to be species-specific and was optimized to give high amplification efficiency suitable for target copy quantification. A high correlation (R-2 > 0.98, p 0.001) with pathogen inoculum density was shown, demonstrating the suitability for monitoring soil samples. The limit of detection (LOD) was evaluated in several different soil types and varied between 1 and 50 oospores/g soil, depending on clay content. Soils with a high LOD were characterised as having a low clay content and high content of sand. Varying levels of the A. cochlioides target sequence were detected in 20 of the 61 naturally infested soil samples. Discrepancies between the bioassay and the qPCR assay were found in soils from low- and medium-risk fields. However, the qPCR diagnostic assay provides a potentially valuable new tool in disease risk assessment, enabling sugar beet growers to identify high-risk fields.
机译:由卵菌的Aphanomyces cochlioides引起的甜菜根腐病是全世界甜菜的一种严重且在经济上重要的疾病。如今,疾病风险评估包括使用诱饵植物的耗时温室生物测定。在本研究中,开发了一种实时定量PCR(qPCR)测定法,用于测定田间侵染土壤样品中的拟南芥DNA,并使用标准生物测定法进行了验证。 qPCR分析被证明是物种特异性的,并经过优化以提供适合目标拷贝定量的高扩增效率。病原菌接种密度显示出很高的相关性(R-2> 0.98,p <0.001),证明了其适合监测土壤样品。在几种不同的土壤类型中评估了检出限(LOD),根据粘土含量的不同,检出限为1至50卵孢子/克土壤。 LOD高的土壤的特征是粘土含量低,沙子含量高。在61个自然受侵染的土壤样品中,有20个检测到了不同的拟南芥目标序列。在来自中低风险田地的土壤中发现了生物测定法与qPCR测定法之间的差异。但是,qPCR诊断测定法为疾病风险评估提供了潜在有价值的新工具,使甜菜种植者能够识别高风险领域。

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