BibTex format
@article{Zhang:2023:10.1038/s41467-023-39952-x,
author = {Zhang, T and Zeng, Q and Ji, F and Wu, H and Ledesma-Amaro, R and Wei, Q and Yang, H and Xia, X and Ren, Y and Mu, K and He, Q and Kang, Z and Deng, R},
doi = {10.1038/s41467-023-39952-x},
journal = {Nature Communications},
title = {Precise in-field molecular diagnostics of crop diseases by smartphone-based mutation-resolved pathogenic RNA analysis},
url = {http://dx.doi.org/10.1038/s41467-023-39952-x},
volume = {14},
year = {2023}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - 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.
AU - Zhang,T
AU - Zeng,Q
AU - Ji,F
AU - Wu,H
AU - Ledesma-Amaro,R
AU - Wei,Q
AU - Yang,H
AU - Xia,X
AU - Ren,Y
AU - Mu,K
AU - He,Q
AU - Kang,Z
AU - Deng,R
DO - 10.1038/s41467-023-39952-x
PY - 2023///
SN - 2041-1723
TI - Precise in-field molecular diagnostics of crop diseases by smartphone-based mutation-resolved pathogenic RNA analysis
T2 - Nature Communications
UR - http://dx.doi.org/10.1038/s41467-023-39952-x
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001037980500008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR - https://www.nature.com/articles/s41467-023-39952-x
VL - 14
ER -