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Decoding early stress signaling waves in living plants using nanosensor multiplexing
Mervin Chun-Yi Ang1, Jolly Madathiparambil Saju2, Thomas K Porter3
1Disruptive & Sustainable Technologies for Agricultural Precision IRG, Singapore-MIT Alliance for Research and Technology, 1 CREATE Way, #03-06/07/08 Research Wing, Singapore, 138602, Singapore.
Nature Communications
|April 5, 2024
Summary
Researchers developed a novel nanosensor to simultaneously track hydrogen peroxide (H₂O₂) and salicylic acid (SA) in plants under stress. This technology reveals distinct signaling patterns for different environmental challenges, aiding crop resilience.
Area of Science:
- Plant science
- Biochemistry
- Environmental science
Background:
- Climate change increases environmental stresses, impacting plant growth and productivity.
- Plants use signaling molecules like hydrogen peroxide (H₂O₂) and salicylic acid (SA) to adapt to stress.
- The precise timing and interplay of these stress signals are not fully understood.
Purpose of the Study:
- To develop and apply multiplexed nanosensors for simultaneous, real-time monitoring of H₂O₂ and SA.
- To investigate the distinct signaling dynamics of H₂O₂ and SA in response to various environmental stresses.
- To formulate a kinetic model based on observed signaling patterns.
Main Methods:
- Development of a nanosensor for SA, multiplexed with an H₂O₂ nanosensor.
- Application of the nanosensor system to Pak choi (Brassica rapa subsp. Chinensis) plants.
- Subjecting plants to distinct stresses: light, heat, pathogen, and mechanical wounding.
Main Results:
- Nanosensors successfully monitored simultaneous H₂O₂ and SA signals under different stress conditions.
- Distinct temporal dynamics and wave characteristics of H₂O₂ and SA were observed for each stress type.
- A biochemical kinetic model indicated that early H₂O₂ patterns are stress-specific.
Conclusions:
- Multiplexed nanosensor technology provides novel insights into plant stress signaling pathways.
- Understanding these signaling dynamics is crucial for developing climate-resilient crops.
- This approach can enable pre-symptomatic diagnosis of plant stress.

