Decoding early stress signaling waves in living plants using nanosensor multiplexing

Mervin Chun-Yi Ang, Jolly Madathiparambil Saju, Thomas K. Porter, Sayyid Mohaideen, Sreelatha Sarangapani, Duc Thinh Khong, Song Wang, Jianqiao Cui, Suh In Loh, Gajendra Pratap Singh, Nam-Hai Chua, Michael S. Strano () and Rajani Sarojam ()
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Mervin Chun-Yi Ang: Singapore-MIT Alliance for Research and Technology
Jolly Madathiparambil Saju: 1 Research Link National University of Singapore
Thomas K. Porter: Massachusetts Institute of Technology
Sayyid Mohaideen: Singapore-MIT Alliance for Research and Technology
Sreelatha Sarangapani: 1 Research Link National University of Singapore
Duc Thinh Khong: Singapore-MIT Alliance for Research and Technology
Song Wang: Singapore-MIT Alliance for Research and Technology
Jianqiao Cui: Massachusetts Institute of Technology
Suh In Loh: Singapore-MIT Alliance for Research and Technology
Gajendra Pratap Singh: Singapore-MIT Alliance for Research and Technology
Nam-Hai Chua: Singapore-MIT Alliance for Research and Technology
Michael S. Strano: Singapore-MIT Alliance for Research and Technology
Rajani Sarojam: Singapore-MIT Alliance for Research and Technology

Nature Communications, 2024, vol. 15, issue 1, 1-17

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-47082-1

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