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植物真菌致病机制的半自动共聚焦成像:宏观标本的微观分析

Semiautomated confocal imaging of fungal pathogenesis on plants: Microscopic analysis of macroscopic specimens.

作者信息

Minker Katharine R, Biedrzycki Meredith L, Kolagunda Abhishek, Rhein Stephen, Perina Fabiano J, Jacobs Samuel S, Moore Michael, Jamann Tiffany M, Yang Qin, Nelson Rebecca, Balint-Kurti Peter, Kambhamettu Chandra, Wisser Randall J, Caplan Jeffrey L

机构信息

Department of Biological Sciences, University of Delaware, Newark, Delaware, 19716.

Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware, 19716.

出版信息

Microsc Res Tech. 2018 Feb;81(2):141-152. doi: 10.1002/jemt.22709. Epub 2016 Jun 25.

Abstract

The study of phenotypic variation in plant pathogenesis provides fundamental information about the nature of disease resistance. Cellular mechanisms that alter pathogenesis can be elucidated with confocal microscopy; however, systematic phenotyping platforms-from sample processing to image analysis-to investigate this do not exist. We have developed a platform for 3D phenotyping of cellular features underlying variation in disease development by fluorescence-specific resolution of host and pathogen interactions across time (4D). A confocal microscopy phenotyping platform compatible with different maize-fungal pathosystems (fungi: Setosphaeria turcica, Cochliobolus heterostrophus, and Cercospora zeae-maydis) was developed. Protocols and techniques were standardized for sample fixation, optical clearing, species-specific combinatorial fluorescence staining, multisample imaging, and image processing for investigation at the macroscale. The sample preparation methods presented here overcome challenges to fluorescence imaging such as specimen thickness and topography as well as physiological characteristics of the samples such as tissue autofluorescence and presence of cuticle. The resulting imaging techniques provide interesting qualitative and quantitative information not possible with conventional light or electron 2D imaging. Microsc. Res. Tech., 81:141-152, 2018. © 2016 Wiley Periodicals, Inc.

摘要

植物发病机制中的表型变异研究为抗病性的本质提供了基础信息。利用共聚焦显微镜可以阐明改变发病机制的细胞机制;然而,目前尚不存在用于研究此问题的系统表型分析平台,从样本处理到图像分析都没有。我们开发了一个平台,通过在不同时间(4D)对宿主与病原体相互作用进行荧光特异性分辨率分析,对疾病发展变异背后的细胞特征进行三维表型分析。开发了一个与不同玉米 - 真菌病害系统(真菌:大斑突脐蠕孢菌、玉米小斑病菌和玉米尾孢菌)兼容的共聚焦显微镜表型分析平台。对样本固定、光学透明化、物种特异性组合荧光染色、多样本成像以及宏观尺度研究的图像处理的方案和技术进行了标准化。本文介绍的样本制备方法克服了荧光成像面临的挑战,如样本厚度和地形以及样本的生理特征,如组织自发荧光和角质层的存在。由此产生的成像技术提供了传统二维光学或电子成像无法获得的有趣的定性和定量信息。《显微镜研究与技术》,81:141 - 152,2018年。© 2016威利期刊公司。

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