In this section
@article{Collins:2024:10.1002/advs.202400225,
author = {Collins, ASP and Kurt, H and Duggan, C and Cotur, Y and Coatsworth, P and Naik, A and Kaisti, M and Bozkurt, T and Güder, F},
doi = {10.1002/advs.202400225},
journal = {Advanced Science},
title = {Parallel, continuous monitoring and quantification of programmed cell death in plant tissue},
url = {http://dx.doi.org/10.1002/advs.202400225},
volume = {11},
year = {2024}
}
TY - JOUR
AB - Accurate quantification of hypersensitive response (HR) programmed cell death is imperative for understanding plant defense mechanisms and developing disease-resistant crop varieties. Here, a phenotyping platform for rapid, continuous-time, and quantitative assessment of HR is demonstrated: Parallel Automated Spectroscopy Tool for Electrolyte Leakage (PASTEL). Compared to traditional HR assays, PASTEL significantly improves temporal resolution and has high sensitivity, facilitating detection of microscopic levels of cell death. Validation is performed by transiently expressing the effector protein AVRblb2 in transgenic Nicotiana benthamiana (expressing the corresponding resistance protein Rpi-blb2) to reliably induce HR. Detection of cell death is achieved at microscopic intensities, where leaf tissue appears healthy to the naked eye one week after infiltration. PASTEL produces large amounts of frequency domain impedance data captured continuously. This data is used to develop supervised machine-learning (ML) models for classification of HR. Input data (inclusive of the entire tested concentration range) is classified as HR-positive or negative with 84.1% mean accuracy (F1 score = 0.75) at 1 h and with 87.8% mean accuracy (F1 score = 0.81) at 22 h. With PASTEL and the ML models produced in this work, it is possible to phenotype disease resistance in plants in hours instead of days to weeks.
AU - Collins,ASP
AU - Kurt,H
AU - Duggan,C
AU - Cotur,Y
AU - Coatsworth,P
AU - Naik,A
AU - Kaisti,M
AU - Bozkurt,T
AU - Güder,F
DO - 10.1002/advs.202400225
PY - 2024///
SN - 2198-3844
TI - Parallel, continuous monitoring and quantification of programmed cell death in plant tissue
T2 - Advanced Science
UR - http://dx.doi.org/10.1002/advs.202400225
UR - https://onlinelibrary.wiley.com/doi/full/10.1002/advs.202400225
UR - http://hdl.handle.net/10044/1/111021
VL - 11
ER -
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