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用于植物病原体生长的定量高通量实时生物测定法

Quantitative High-Throughput, Real-Time Bioassay for Plant Pathogen Growth .

作者信息

Zhang Chunqiu, Mansfeld Ben N, Lin Ying-Chen, Grumet Rebecca

机构信息

Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Beijing Key Laboratory of Vegetable Germplasm Improvement, National Engineering Research Center for Vegetables, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.

Graduate Program in Plant Breeding, Genetics and Biotechnology, Department of Horticulture, Michigan State University, East Lansing, MI, United States.

出版信息

Front Plant Sci. 2021 Feb 10;12:637190. doi: 10.3389/fpls.2021.637190. eCollection 2021.

Abstract

Effective assessment of pathogen growth can facilitate screening for disease resistance, mapping of resistance loci, testing efficacy of control measures, or elucidation of fundamental host-pathogen interactions. Current methods are often limited by subjective assessments, inability to detect pathogen growth prior to appearance of symptoms, destructive sampling, or limited capacity for replication and quantitative analysis. In this work we sought to develop a real-time, , high-throughput assay that would allow for quantification of pathogen growth. To establish such a system, we worked with the broad host-range, highly destructive, soil-borne oomycete pathogen, . We used an isolate expressing red fluorescence protein (RFP) to establish a microtiter plate, real-time assay to quantify pathogen growth in live tissue. The system was successfully used to monitor growth on cucumber () fruit and pepper () leaf samples in relation to different levels of host susceptibility. These results demonstrate usefulness of the method in different species and tissue types, allowing for highly replicated, quantitative time-course measurements of pathogen growth . Analyses of pathogen growth during initial stages of infection preceding symptom development show the importance of very early stages of infection in determining disease outcome, and provide insight into points of inhibition of pathogen growth in different resistance systems.

摘要

有效评估病原体生长有助于筛选抗病性、绘制抗性基因座图谱、测试控制措施的效果或阐明宿主与病原体之间的基本相互作用。当前的方法往往受到主观评估的限制,无法在症状出现之前检测病原体生长,存在破坏性采样问题,或者复制和定量分析能力有限。在这项工作中,我们试图开发一种实时、高通量的检测方法,以便能够对病原体生长进行定量分析。为了建立这样一个系统,我们研究了一种寄主范围广泛、极具破坏性的土传卵菌病原体。我们使用一个表达红色荧光蛋白(RFP)的分离株建立了一个微孔板实时检测方法,以定量活组织中的病原体生长。该系统成功地用于监测黄瓜果实和辣椒叶片样本上相对于不同宿主易感性水平的生长情况。这些结果证明了该方法在不同物种和组织类型中的实用性,能够对病原体生长进行高度重复的定量时间进程测量。对症状出现前感染初始阶段病原体生长的分析表明,感染的早期阶段对于确定疾病结果非常重要,并为不同抗性系统中病原体生长的抑制点提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fb/7902728/ac6f8b93a0c3/fpls-12-637190-g001.jpg

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