Literature DB >> 27342138

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

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.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

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


  17 in total

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Authors:  R J Howard
Journal:  Curr Opin Microbiol       Date:  2001-08       Impact factor: 7.934

2.  Three-dimensional imaging of plant cuticle architecture using confocal scanning laser microscopy.

Authors:  Gregory J Buda; Tal Isaacson; Antonio J Matas; Dominick J Paolillo; Jocelyn K C Rose
Journal:  Plant J       Date:  2009-06-29       Impact factor: 6.417

3.  Scale: a chemical approach for fluorescence imaging and reconstruction of transparent mouse brain.

Authors:  Hiroshi Hama; Hiroshi Kurokawa; Hiroyuki Kawano; Ryoko Ando; Tomomi Shimogori; Hisayori Noda; Kiyoko Fukami; Asako Sakaue-Sawano; Atsushi Miyawaki
Journal:  Nat Neurosci       Date:  2011-08-30       Impact factor: 24.884

4.  Fiji: an open-source platform for biological-image analysis.

Authors:  Johannes Schindelin; Ignacio Arganda-Carreras; Erwin Frise; Verena Kaynig; Mark Longair; Tobias Pietzsch; Stephan Preibisch; Curtis Rueden; Stephan Saalfeld; Benjamin Schmid; Jean-Yves Tinevez; Daniel James White; Volker Hartenstein; Kevin Eliceiri; Pavel Tomancak; Albert Cardona
Journal:  Nat Methods       Date:  2012-06-28       Impact factor: 28.547

5.  Autoclaving as an aid in the clearing of plant specimens.

Authors:  T P O'Brien
Journal:  Stain Technol       Date:  1974-05

6.  Selective staining of fungal hyphae in parasitic and symbiotic plant-fungus associations.

Authors:  M Meyberg
Journal:  Histochemistry       Date:  1988

7.  Resistance loci affecting distinct stages of fungal pathogenesis: use of introgression lines for QTL mapping and characterization in the maize--Setosphaeria turcica pathosystem.

Authors:  Chia-Lin Chung; Joy M Longfellow; Ellie K Walsh; Zura Kerdieh; George Van Esbroeck; Peter Balint-Kurti; Rebecca J Nelson
Journal:  BMC Plant Biol       Date:  2010-06-08       Impact factor: 4.215

8.  Globally optimal stitching of tiled 3D microscopic image acquisitions.

Authors:  Stephan Preibisch; Stephan Saalfeld; Pavel Tomancak
Journal:  Bioinformatics       Date:  2009-04-03       Impact factor: 6.937

9.  PEA-CLARITY: 3D molecular imaging of whole plant organs.

Authors:  William M Palmer; Antony P Martin; Jamie R Flynn; Stephanie L Reed; Rosemary G White; Robert T Furbank; Christopher P L Grof
Journal:  Sci Rep       Date:  2015-09-02       Impact factor: 4.379

10.  Cell surface and cell outline imaging in plant tissues using the backscattered electron detector in a variable pressure scanning electron microscope.

Authors:  Mark J Talbot; Rosemary G White
Journal:  Plant Methods       Date:  2013-10-17       Impact factor: 4.993

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  4 in total

1.  Temporal and Spatial Variability of Fungal Structures and Host Responses in an Incompatible Rust-Wheat Interaction.

Authors:  Chris K Sørensen; Rodrigo Labouriau; Mogens S Hovmøller
Journal:  Front Plant Sci       Date:  2017-04-12       Impact factor: 5.753

2.  Shedding Light on Penetration of Cereal Host Stomata by Wheat Stem Rust Using Improved Methodology.

Authors:  Shyam Solanki; Gazala Ameen; Pawel Borowicz; Robert S Brueggeman
Journal:  Sci Rep       Date:  2019-05-28       Impact factor: 4.379

3.  Bioimaging structural signatures of the oomycete pathogen Sclerospora graminicola in pearl millet using different microscopic techniques.

Authors:  Hunthrike Shekar Shetty; Sharada Mysore Suryanarayan; Sudisha Jogaiah; Aditya Rao Shimoga Janakirama; Michael Hansen; Hans Jørgen Lyngs Jørgensen; Lam-Son Phan Tran
Journal:  Sci Rep       Date:  2019-10-23       Impact factor: 4.379

4.  Identification of Loci That Confer Resistance to Bacterial and Fungal Diseases of Maize.

Authors:  Yuting Qiu; Julian Cooper; Christopher Kaiser; Randall Wisser; Santiago X Mideros; Tiffany M Jamann
Journal:  G3 (Bethesda)       Date:  2020-08-05       Impact factor: 3.154

  4 in total

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