Detection and quantification of the hypersensitive response cell death in Arabidopsis thaliana

In plants, the hypersensitive response (HR) is a programmed cell death modality that occurs upon recognition of harmful non-self. It occurs at the site of pathogen infection, thus preventing pathogens to live off plant tissue and proliferate. Shedding light on the molecular constituents underlying t...

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Detalles Bibliográficos
Autores: Salguero Linares, Jose|||0000-0003-0559-7793, Lema A., Saul|||0000-0002-8714-2655, Salas Gómez, Marta|||0000-0003-1449-6142, Froilán Soares, Andrea, Sánchez Coll, Núria|||0000-0002-8889-0399
Tipo de recurso: capítulo de libro
Fecha de publicación:2022
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:259299
Acceso en línea:https://ddd.uab.cat/record/259299
https://dx.doi.org/urn:doi:10.1007/978-1-0716-2079-3_16
Access Level:acceso abierto
Palabra clave:Arabidopsis thaliana
Hypersensitive response
Pseudomonas syringae pv tomato DC3000
Trypan Blue Staining
Cell death quantification by Image J
Electrolyte leakage
Descripción
Sumario:In plants, the hypersensitive response (HR) is a programmed cell death modality that occurs upon recognition of harmful non-self. It occurs at the site of pathogen infection, thus preventing pathogens to live off plant tissue and proliferate. Shedding light on the molecular constituents underlying this process requires robust and quantitative methods that can determine whether plants lacking functional genes are defective in HR execution compared to wild-type controls. In this chapter, we provide two quantitative protocols in which we measure cell death from Arabidopsis thaliana leaves infected with avirulent HR-causing bacterial strains. Firstly, we use trypan blue staining to quantify the stained area of leaves upon bacterial infection using a personalized macro in the Image J (Fiji) software. Alternately, we incorporate an electrolyte leakage protocol in order to measure HR caused by different avirulent bacterial strains at different bacterial titers. We encourage users to perform a combination of both methods when assessing HR in different plant genotypes.