| Literature DB >> 27342138 |
Katharine R Minker1, Meredith L Biedrzycki2, Abhishek Kolagunda2,3, Stephen Rhein2,3, Fabiano J Perina2, Samuel S Jacobs4, Michael Moore4, Tiffany M Jamann5, Qin Yang6, Rebecca Nelson7, Peter Balint-Kurti6,8, Chandra Kambhamettu3, Randall J Wisser2, Jeffrey L Caplan1,4.
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.Entities:
Keywords: confocal microscopy; disease resistance; image analysis; plant-pathogen interactions; tissue clearing
Mesh:
Year: 2016 PMID: 27342138 PMCID: PMC5329141 DOI: 10.1002/jemt.22709
Source DB: PubMed Journal: Microsc Res Tech ISSN: 1059-910X Impact factor: 2.769