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dc.contributor.authorPorter, Thomas K.
dc.contributor.authorHeinz, Michael N.
dc.contributor.authorLundberg, Daniel J.
dc.contributor.authorBrooks, Allan M.
dc.contributor.authorLew, Tedrick T. S.
dc.contributor.authorSilmore, Kevin S.
dc.contributor.authorKoman, Volodymyr B.
dc.contributor.authorAng, Mervin C.
dc.contributor.authorKhong, Duc T.
dc.contributor.authorSingh, Gajendra P.
dc.contributor.authorSwan, James W.
dc.contributor.authorSarojam, Rajani
dc.contributor.authorChua, Nam-Hai
dc.contributor.authorStrano, Michael S.
dc.date.accessioned2022-12-08T12:49:55Z
dc.date.available2022-12-08T12:49:55Z
dc.date.issued2022-12-07
dc.identifier.urihttps://hdl.handle.net/1721.1/146798
dc.description.abstractAbstract 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.en_US
dc.publisherSpringer Berlin Heidelbergen_US
dc.relation.isversionofhttps://doi.org/10.1007/s00285-022-01835-yen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer Berlin Heidelbergen_US
dc.titleA theory of mechanical stress-induced H2O2 signaling waveforms in Plantaen_US
dc.typeArticleen_US
dc.identifier.citationJournal of Mathematical Biology. 2022 Dec 07;86(1):11en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.contributor.departmentSingapore-MIT Alliance in Research and Technology (SMART)
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-12-08T04:22:26Z
dc.language.rfc3066en
dc.rights.holderThe Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature
dspace.embargo.termsY
dspace.date.submission2022-12-08T04:22:26Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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