Decoding early stress signaling waves in living plants using nanosensor multiplexing
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s41467-024-47082-1.pdf
Description
Published version
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4.02 MB
Format
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Checksum (MD5)
224b6e689669fd7246bd707ae242c9db
Author(s)
Ang, Mervin Chun-Yi
Saju, Jolly Madathiparambil
Porter, Thomas K
Mohaideen, Sayyid
Sarangapani, Sreelatha
Khong, Duc Thinh
Wang, Song
Cui, Jianqiao
Loh, Suh In
Singh, Gajendra Pratap
Date Issued
2024
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Ang, M.CY., Saju, J.M., Porter, T.K. et al. Decoding early stress signaling waves in living plants using nanosensor multiplexing. Nat Commun 15, 2943 (2024).
Version
Final published version
Abstract
Increased exposure to environmental stresses due to climate change have adversely affected plant growth and productivity. Upon stress, plants activate a signaling cascade, involving multiple molecules like H2O2, and plant hormones such as salicylic acid (SA) leading to resistance or stress adaptation. However, the temporal ordering and composition of the resulting cascade remains largely unknown. In this study we developed a nanosensor for SA and multiplexed it with H2O2 nanosensor for simultaneous monitoring of stress-induced H2O2 and SA signals when Brassica rapa subsp. Chinensis (Pak choi) plants were subjected to distinct stress treatments, namely light, heat, pathogen stress and mechanical wounding. Nanosensors reported distinct dynamics and temporal wave characteristics of H2O2 and SA generation for each stress. Based on these temporal insights, we have formulated a biochemical kinetic model that suggests the early H2O2 waveform encodes information specific to each stress type. These results demonstrate that sensor multiplexing can reveal stress signaling mechanisms in plants, aiding in developing climate-resilient crops and pre-symptomatic stress diagnoses.
MIT Department
Singapore-MIT Alliance in Research and Technology (SMART)
Massachusetts Institute of Technology. Department of Chemical Engineering
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DOI of Published Version
10.1038/s41467-024-47082-1
