School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, Leicestershire, U.K.; and Rothamsted Research, Harpenden, Hertfordshire, U.K.
Rothamsted Research, Harpenden, Hertfordshire, U.K.
Plant Dis. 2019 Mar;103(3):417-421. doi: 10.1094/PDIS-02-18-0337-RE. Epub 2019 Jan 17.
Sugar beet rust disease (causal agent Uromyces betae) represents a serious threat to worldwide sugar beet (Beta vulgaris) crops, causing yield losses of up to 10% in the United Kingdom. Currently, the disease is managed mainly by application of fungicides after rust disease symptoms appear. Development of a future forecasting system, incorporating data on environmental factors and U. betae inoculum levels, would enable better disease control by more targeted application of fungicides. In this study, we developed a first molecular diagnostic, targeted to cytochrome b DNA sequences and based on loop-mediated isothermal amplification (LAMP) technology, for rapid (<30 min) and specific detection of U. betae. The new assay only detected U. betae strains (collected from across eastern England, the main sugar beet growing region in the United Kingdom) and Denmark; it did not detect other closely related pathogens (e.g., Puccinia sp., U. fabae) or others that are commonly found on sugar beet (Cercospora beticola, Erysiphe betae, Ramularia beticola). The assay could consistently detect down to small amounts of U. betae DNA (10 pg). Application of the new LAMP diagnostic to air spore tape samples collected between mid-June and mid-September from a single U.K. sugar beet field site revealed differences in temporal patterns of pathogen inoculum between the 2015 and 2016 seasons. The described LAMP assay could now be used as a component of a future automated inoculum-based forecasting system, enabling more targeted control of sugar beet rust disease.
甜菜锈病(致病因子 Uromyces betae)对世界范围内的甜菜(Beta vulgaris)作物构成严重威胁,在英国可导致高达 10%的产量损失。目前,主要通过在锈病症状出现后应用杀菌剂来控制这种疾病。开发一种未来的预测系统,结合环境因素和 U. betae 接种体水平的数据,将通过更有针对性地应用杀菌剂来更好地控制疾病。在这项研究中,我们开发了一种基于环介导等温扩增(LAMP)技术的针对细胞色素 b DNA 序列的分子诊断方法,用于快速(<30 分钟)和特异性检测 U. betae。新的检测方法仅检测到 U. betae 菌株(从英国主要的甜菜种植区英格兰东部采集)和丹麦的菌株;它未检测到其他密切相关的病原体(例如 Puccinia sp.,U. fabae)或其他常见于甜菜上的病原体(Cercospora beticola,Erysiphe betae,Ramularia beticola)。该检测方法能够稳定地检测到低至少量的 U. betae DNA(10 pg)。应用新的 LAMP 诊断方法对 2015 年和 2016 年从英国一个甜菜田间站点采集的 6 月中旬至 9 月中旬期间的空气孢子带样本进行检测,揭示了两个季节之间病原体接种体的时间模式存在差异。该描述的 LAMP 检测方法现在可作为未来基于自动接种体预测系统的一个组成部分,以更有针对性地控制甜菜锈病。