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A novel robust and high-throughput method to measure cell death in Nicotiana benthamiana leaves by fluorescence imaging.
Xi, Yuxuan; Chochois, Vincent; Kroj, Thomas; Cesari, Stella.
Affiliation
  • Xi Y; PHIM Plant Health Institute, Univ Montpellier, INRAE, CIRAD, Institut Agro, IRD, Montpellier, France.
  • Chochois V; CIRAD, UMR Qualisud, Montpellier, France.
  • Kroj T; Qualisud, Univ Montpellier, Avignon Université, CIRAD, Institut Agro, Université de La Réunion, Montpellier, France.
  • Cesari S; PHIM Plant Health Institute, Univ Montpellier, INRAE, CIRAD, Institut Agro, IRD, Montpellier, France.
Mol Plant Pathol ; 22(12): 1688-1696, 2021 12.
Article in En | MEDLINE | ID: mdl-34427040
ABSTRACT
Assessing immune responses and cell death in Nicotiana benthamiana leaf agro-infiltration assays is a powerful and widely used experimental approach in molecular plant pathology. Here, we describe a reliable high-throughput protocol to quantify strong, macroscopically visible cell death responses in N. benthamiana agro-infiltration assays. The method relies on measuring the reduction of leaf autofluorescence in the red spectrum upon cell death induction and provides quantitative data suitable for straightforward statistical analysis. Two different well-established model nucleotide-binding and leucine-rich repeat domain proteins (NLRs) were used to ensure the genericity of the approach. Its accuracy and versatility were compared to visual scoring of the cell death response and standard methods commonly used to characterize NLR activities in N. benthamiana. A discussion of the advantages and limitations of our method compared to other protocols demonstrates its robustness and versatility and provides an effective means to select the best-suited protocol for a defined experiment.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Nicotiana / Plant Leaves Type of study: Prognostic_studies Language: En Journal: Mol Plant Pathol Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Nicotiana / Plant Leaves Type of study: Prognostic_studies Language: En Journal: Mol Plant Pathol Year: 2021 Document type: Article