A theory of mechanical stress-induced H2O2 signaling waveforms in Planta
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285_2022_1835_ReferencePDF.pdf
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Author(s)
Porter, Thomas K.
Heinz, Michael N.
Lundberg, Daniel J.
Brooks, Allan M.
Lew, Tedrick T. S.
Silmore, Kevin S.
Koman, Volodymyr B.
Ang, Mervin C.
Khong, Duc T.
Singh, Gajendra P.
Date Issued
December 7, 2022
Publisher
Springer Berlin Heidelberg
Citation
Journal of Mathematical Biology. 2022 Dec 07;86(1):11
Version
Author's final manuscript
Abstract
Abstract
Recent progress in nanotechnology-enabled sensors that can be placed inside of living plants has shown that it is possible to relay and record real-time chemical signaling stimulated by various abiotic and biotic stresses. The mathematical form of the resulting local reactive oxygen species (ROS) wave released upon mechanical perturbation of plant leaves appears to be conserved across a large number of species, and produces a distinct waveform from other stresses including light, heat and pathogen-associated molecular pattern (PAMP)-induced stresses. Herein, we develop a quantitative theory of the local ROS signaling waveform resulting from mechanical stress in planta. We show that nonlinear, autocatalytic production and Fickian diffusion of H2O2 followed by first order decay well describes the spatial and temporal properties of the waveform. The reaction–diffusion system is analyzed in terms of a new approximate solution that we introduce for such problems based on a single term logistic function ansatz. The theory is able to describe experimental ROS waveforms and degradation dynamics such that species-dependent dimensionless wave velocities are revealed, corresponding to subtle changes in higher moments of the waveform through an apparently conserved signaling mechanism overall. This theory has utility in potentially decoding other stress signaling waveforms for light, heat and PAMP-induced stresses that are similarly under investigation. The approximate solution may also find use in applied agricultural sensing, facilitating the connection between measured waveform and plant physiology.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Singapore-MIT Alliance in Research and Technology (SMART)
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1007/s00285-022-01835-y
