title: Characterization of Botrytis-plant interactions using PathTrack©-an automated system for dynamic analysis of disease development.
abstract: The measurement of disease development is integral in studies on plant-microbe interactions. To address the need for a dynamic and quantitative disease evaluation, we developed PathTrack©, and used it to analyse the interaction of plants with Botrytis cinerea. PathTrack©is composed of an infection chamber, a photography unit and software that produces video files and numerical values of disease progression. We identified a previously unrecognized infection stage and determined numerical parameters of pathogenic development. Using these parameters, we identified differences in disease dynamics between seemingly similar B. cinerea pathogenicity mutants, and revealed new details on plant susceptibility to the fungus. We showed that the difference between the lesion expansion rate on leaves and colony spreading rate on artificial medium reflects the levels of the plant immune system, suggesting that this parameter can be used to quantify plant defence. Our results shed new light and reveal new details of the interaction between the model necrotrophic pathogen B. cinerea and plants. The concept that we present is universal and may be applied to facilitate the study of various types of plant-pathogen association.
authors.affiliation: Department of Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv, 69978, Israel.|Department of Physical Electronics, Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv, 69978, Israel.
authors.forename: Elad
authors.initials: E
authors.lastname: Eizner
authors.affiliation: Department of Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv, 69978, Israel.
authors.forename: Mordechi
authors.initials: M
authors.lastname: Ronen
authors.affiliation: Department of Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv, 69978, Israel.
authors.forename: Yonatan
authors.initials: Y
authors.lastname: Gur
authors.affiliation: Department of Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv, 69978, Israel.
authors.forename: Assaf
authors.initials: A
authors.lastname: Gavish
authors.affiliation: Department of Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv, 69978, Israel.
authors.forename: Wenjun
authors.initials: W
authors.lastname: Zhu
authors.affiliation: Department of Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv, 69978, Israel.
authors.forename: Amir
authors.initials: A
authors.lastname: Sharon
mesh_terms: D001331:Automation; D020171:Botrytis / Q000254:growth & development / Q000472:pathogenicity / Q000502:physiology*; D007887:Fabaceae / Q000276:immunology / Q000382:microbiology; D054884:Host-Pathogen Interactions; D007091:Image Processing, Computer-Assisted; D010935:Plant Diseases / Q000382:microbiology*; D018515:Plant Leaves / Q000382:microbiology; D014026:Nicotiana / Q000382:microbiology
keywords: Botrytis cinerea; disease measurement; image analysis; necrotrophic development; plant resistance