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.

On-site crop disease diagnostics is critical for precise application of pesticides. Here, the authors report an in-field molecular diagnostic tool for wheat pathogens using a nucleic acid amplification-free, gene mutation-resolved and smartphone-integrated genetic assay.

Details

Title
Precise in-field molecular diagnostics of crop diseases by smartphone-based mutation-resolved pathogenic RNA analysis
Author
Zhang, Ting 1 ; Zeng, Qingdong 2 ; Ji, Fan 2 ; Wu, Honghong 3   VIAFID ORCID Logo  ; Ledesma-Amaro, Rodrigo 4   VIAFID ORCID Logo  ; Wei, Qingshan 5   VIAFID ORCID Logo  ; Yang, Hao 1 ; Xia, Xuhan 1 ; Ren, Yao 1 ; Mu, Keqing 2 ; He, Qiang 1 ; Kang, Zhensheng 2 ; Deng, Ruijie 1   VIAFID ORCID Logo 

 Sichuan University, College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Chengdu, China (GRID:grid.13291.38) (ISNI:0000 0001 0807 1581) 
 Northwest A&F University, State Key Laboratory of Crop Stress Biology for Arid Areas, Yangling, China (GRID:grid.144022.1) (ISNI:0000 0004 1760 4150) 
 Huazhong Agricultural University, MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science & Technology, Wuhan, China (GRID:grid.35155.37) (ISNI:0000 0004 1790 4137) 
 Imperial College London, Department of Bioengineering, Imperial College Centre for Synthetic Biology, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
 North Carolina State University, Department of Chemical and Biomolecular Engineering, Emerging Plant Disease and Global Food Security Cluster, Raleigh, USA (GRID:grid.40803.3f) (ISNI:0000 0001 2173 6074) 
Pages
4327
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2839657412
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.