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Decoding early stress signaling waves in living plants using nanosensor multiplexing

Author

Listed:
  • 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
    1 Research Link National University of Singapore)

  • Michael S. Strano

    (Singapore-MIT Alliance for Research and Technology
    Massachusetts Institute of Technology)

  • Rajani Sarojam

    (Singapore-MIT Alliance for Research and Technology
    1 Research Link National University of Singapore)

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.

Suggested Citation

  • 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-Ha, 2024. "Decoding early stress signaling waves in living plants using nanosensor multiplexing," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47082-1
    DOI: 10.1038/s41467-024-47082-1
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    References listed on IDEAS

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    1. Feihua Wu & Yuan Chi & Zhonghao Jiang & Yuanyuan Xu & Ling Xie & Feifei Huang & Di Wan & Jun Ni & Fang Yuan & Xiaomei Wu & Yanyan Zhang & Li Wang & Rui Ye & Benjamin Byeon & Wenhua Wang & Shu Zhang & , 2020. "Hydrogen peroxide sensor HPCA1 is an LRR receptor kinase in Arabidopsis," Nature, Nature, vol. 578(7796), pages 577-581, February.
    2. Minhang Yuan & Zeyu Jiang & Guozhi Bi & Kinya Nomura & Menghui Liu & Yiping Wang & Boying Cai & Jian-Min Zhou & Sheng Yang He & Xiu-Fang Xin, 2021. "Pattern-recognition receptors are required for NLR-mediated plant immunity," Nature, Nature, vol. 592(7852), pages 105-109, April.
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