ArticleMolecular plant pathology2021
Red light imaging for programmed cell death visualization and quantification in plant-pathogen interactions.
Article in Molecular plant pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 36 citations in OpenAlex.
- The tomato cytoplasmic receptor-like kinase TPK09 mediates resistance to Botrytis cinerea and tolerance to light-induced stress.Plant physiology · 2026Article
- The C-terminal tail of Cf resistance proteins determines the intensity of the effector-triggered hypersensitive response-related cell death.Plant physiology · 2026Article
- SUMO E3 ligase SIZ1 promotes nuclear condensate-mediated immune activation in Arabidopsis.Nature communications · 2026Article
- Local citrus sudden death-associated virus infection inThe Journal of general virology · 2026Article
- The glutamate receptor-like GLR2.7 modulates insect egg-induced defense responses in Arabidopsis.The New phytologist · 2025Article
- Gpa2 detects the potato cyst nematode effector GpRBP-1 in the cytoplasm but requires a balanced nucleocytoplasmic distribution to trigger cell death.Journal of experimental botany · 2025Article
- Size-tuned PEGylated NIR-II fluorescent probes for high-contrast plant imaging and TMV detection.Journal of nanobiotechnology · 2025Article
- Resurrection of the Plant Immune Receptor Sr50 to Overcome Pathogen Immune Evasion.bioRxiv : the preprint server for biology · 2025Article
- Receptor-like cytoplasmic kinases of different subfamilies differentially regulate SOBIR1/BAK1-mediated immune responses in Nicotiana benthamiana.Nature communications · 2024Article
- The broad host range pathogen Sclerotinia sclerotiorum produces multiple effector proteins that induce host cell death intracellularly.Molecular plant pathology · 2023Article
- Metabolic pathway genes for editing to enhance multiple disease resistance in plants.Journal of plant research · 2022Article
- Cytotoxic activity of Nep1-like proteins on monocots.The New phytologist · 2022Article
- Article
- Sensor-based phenotyping of above-ground plant-pathogen interactions.Plant methods · 2022Review
- The Intracellularly Acting Effector Foa3 Suppresses Defense Responses When Infiltrated Into the Apoplast.Frontiers in plant science · 2022Article
- Analysis of plant cell death-inducing proteins of the necrotrophic fungal pathogensFrontiers in plant science · 2022Article
- A novel robust and high-throughput method to measure cell death in Nicotiana benthamiana leaves by fluorescence imaging.Molecular plant pathology · 2021Article
- Histological Methods to Detect Early-stage Plant Defense Responses during Artificial Inoculation ofBio-protocol · 2021Article
- Red light imaging for programmed cell death visualization and quantification in plant-pathogen interactions.Molecular plant pathology · 2021Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Studies on plant-pathogen interactions often involve monitoring disease symptoms or responses of the host plant to pathogen-derived immunogenic patterns, either visually or by staining the plant tissue. Both these methods have limitations with respect to resolution, reproducibility, and the ability to quantify the results. In this study we show that red light detection by the red fluorescent protein (RFP) channel of a multipurpose fluorescence imaging system that is probably available in many laboratories can be used to visualize plant tissue undergoing cell death. Red light emission is the result of chlorophyll fluorescence on thylakoid membrane disassembly during the development of a programmed cell death process. The activation of programmed cell death can occur during either a hypersensitive response to a biotrophic pathogen or an apoptotic cell death triggered by a necrotrophic pathogen. Quantifying the intensity of the red light signal enables the magnitude of programmed cell death to be evaluated and provides a readout of the plant immune response in a faster, safer, and nondestructive manner when compared to previously developed chemical staining methodologies. This application can be implemented to screen for differences in symptom severity in plant-pathogen interactions, and to visualize and quantify in a more sensitive and objective manner the intensity of the plant response on perception of a given immunological pattern. We illustrate the utility and versatility of the method using diverse immunogenic patterns and pathogens.
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