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Red light imaging for programmed cell death visualization and quantification in plant–pathogen interactions

机译:用于编程的细胞死亡可视化和植物病原体相互作用的定量的红光成像

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摘要

Studies on plant–pathogen interactions often involve monitoring disease symptoms or responses of the host plant to pathogen‐derived immunogenic patterns, either visually or by staining the plant tissue. Both these methods have limitations with respect to resolution, reproducibility, and the ability to quantify the results. In this study we show that red light detection by the red fluorescent protein (RFP) channel of a multipurpose fluorescence imaging system that is probably available in many laboratories can be used to visualize plant tissue undergoing cell death. Red light emission is the result of chlorophyll fluorescence on thylakoid membrane disassembly during the development of a programmed cell death process. The activation of programmed cell death can occur during either a hypersensitive response to a biotrophic pathogen or an apoptotic cell death triggered by a necrotrophic pathogen. Quantifying the intensity of the red light signal enables the magnitude of programmed cell death to be evaluated and provides a readout of the plant immune response in a faster, safer, and nondestructive manner when compared to previously developed chemical staining methodologies. This application can be implemented to screen for differences in symptom severity in plant–pathogen interactions, and to visualize and quantify in a more sensitive and objective manner the intensity of the plant response on perception of a given immunological pattern. We illustrate the utility and versatility of the method using diverse immunogenic patterns and pathogens.
机译:植物病原体相互作用的研究通常涉及在视觉上或通过染色植物组织来监测宿主植物的疾病症状或对病原因的免疫原性模式的反应。这两种方法都具有关于分辨率,可重复性和量化结果的能力的局限性。在本研究中,我们表明,在许多实验室中可能可用的多用途荧光成像系统的红色荧光蛋白(RFP)通道的红光检测可用于可视化植物组织接受细胞死亡。红光发射是叶绿素荧光在编程细胞死亡过程的发展过程中褪色囊肿拆卸的结果。在对生物养殖病原体的过敏反应期间,可以发生编程细胞死亡的激活或由虚程病原体引发的凋亡细胞死亡。定量红光信号的强度使得能够评估编程的细胞死亡的大小,并在与先前显影的化学染色方法相比时以更快,更安全和无损方式提供植物免疫应答的读数。本申请可以实施本申请以筛选植物病原体相互作用中症状严重程度的差异,并以更敏感和客观方式可视化和量化植物反应对给定免疫模式的感知的强度。我们说明了使用各种免疫原性模式和病原体的方法的效用和多功能性。

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