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Precise in-field molecular diagnostics of crop diseases by smartphone-based mutation-resolved pathogenic RNA analysis

Author

Listed:
  • Ting Zhang

    (Sichuan University)

  • Qingdong Zeng

    (Northwest A&F University)

  • Fan Ji

    (Northwest A&F University)

  • Honghong Wu

    (Huazhong Agricultural University)

  • Rodrigo Ledesma-Amaro

    (Imperial College London)

  • Qingshan Wei

    (North Carolina State University)

  • Hao Yang

    (Sichuan University)

  • Xuhan Xia

    (Sichuan University)

  • Yao Ren

    (Sichuan University)

  • Keqing Mu

    (Northwest A&F University)

  • Qiang He

    (Sichuan University)

  • Zhensheng Kang

    (Northwest A&F University)

  • Ruijie Deng

    (Sichuan University)

Abstract

Molecular diagnostics for crop diseases can guide the precise application of pesticides, thereby reducing pesticide usage while improving crop yield, but tools are lacking. Here, we report an in-field molecular diagnostic tool that uses a cheap colorimetric paper and a smartphone, allowing multiplexed, low-cost, rapid detection of crop pathogens. Rapid nucleic acid amplification-free detection of pathogenic RNA is achieved by combining toehold-mediated strand displacement with a metal ion-mediated urease catalysis reaction. We demonstrate multiplexed detection of six wheat pathogenic fungi and an early detection of wheat stripe rust. When coupled with a microneedle for rapid nucleic acid extraction and a smartphone app for results analysis, the sample-to-result test can be completed in ~10 min in the field. Importantly, by detecting fungal RNA and mutations, the approach allows to distinguish viable and dead pathogens and to sensitively identify mutation-carrying fungicide-resistant isolates, providing fundamental information for precision crop disease management.

Suggested Citation

  • Ting Zhang & Qingdong Zeng & Fan Ji & Honghong Wu & Rodrigo Ledesma-Amaro & Qingshan Wei & Hao Yang & Xuhan Xia & Yao Ren & Keqing Mu & Qiang He & Zhensheng Kang & Ruijie Deng, 2023. "Precise in-field molecular diagnostics of crop diseases by smartphone-based mutation-resolved pathogenic RNA analysis," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39952-x
    DOI: 10.1038/s41467-023-39952-x
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    References listed on IDEAS

    as
    1. Matthew C. Fisher & Daniel. A. Henk & Cheryl J. Briggs & John S. Brownstein & Lawrence C. Madoff & Sarah L. McCraw & Sarah J. Gurr, 2012. "Emerging fungal threats to animal, plant and ecosystem health," Nature, Nature, vol. 484(7393), pages 186-194, April.
    2. Anthony King, 2017. "Technology: The Future of Agriculture," Nature, Nature, vol. 544(7651), pages 21-23, April.
    3. Xianming Chen, 2020. "Pathogens which threaten food security: Puccinia striiformis, the wheat stripe rust pathogen," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(2), pages 239-251, April.
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    Cited by:

    1. Mark Ferris & Gary Zabow, 2024. "Quantitative, high-sensitivity measurement of liquid analytes using a smartphone compass," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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