Protocol to identify protein-protein interaction networks in Solanum tuberosum using transient TurboID-based proximity labeling.

Protein-protein interactions (PPIs) in crop plants remain largely unexplored. Here, we provide a protocol for identifying PPIs in potato (Solanum tuberosum) using TurboID-mediated proximity labeling. We transiently expressed constructs for a nucleus-located transcription factor and a plasma membrane-localized receptor-like kinase fused to TurboID to identify PPIs in potato leaves. We describe the plasmid construction, plant material, agroinfiltration, biotin treatment, protein isolation, free biotin removal, western blot analysis, and enrichment of biotinylated proteins for mass spectrometry analysis.

Red light imaging for programmed cell death visualization and quantification in plant-pathogen interactions.

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.