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Rapid and visual detection of soybean mosaic virus SC7 with a loop-mediated isothermal amplification strategy.

Authors :
Wu, Wenjuan
Yin, Congcong
Yue, Aiqin
Niu, Jingping
Du, Weijun
Liu, Dingbin
Zhao, Jinzhong
Source :
Sensors & Actuators B: Chemical. Dec2022, Vol. 373, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Soybean mosaic virus (SMV) is the most prevalent viral pathogen of soybean worldwide that reduces seed quality and causes serious losses in yields. The accurate, rapid and early detection of SMV strains is crucial for screening SMV-resistant soybean varieties and controlling soybean mosaic disease timely. In this study, we report a loop-mediated isothermal amplification (LAMP) assay for visual and rapid detection of SMV-SC7, the major prevalent SMV strain in China, in soybean leaves. Specific primers were rationally designed and tested to detect the SMV-SC7 strain. The detection limit for SMV-SC7 can be as low as 10−4 ng/μL by the developed LAMP assay. These results were visualized by three indicators (SYBR green I, neutral red and hydroxy naphthol blue) with high fidelity. The high analytical performance of the LAMP assay was demonstrated with 21 soybean cultivars, among which 8 soybean cultivars were further inoculated with consistent results to those achieved by LAMP. This visual and rapid LAMP assay is highly promising for early detection of SMV-SC7-associated plant diseases. [Display omitted] • Early detection of SMV strains is crucial for preventing severe yield losses. • SMV-SC7 is traditionally detected by phenotype observation. • A colorimetric LAMP assay was developed for the detection of SMV-SC7. • The LAMP assay can identify SMV-SC7 earlier than phenotype observation. • The LAMP assay has great potential for field-friendly diagnostic testing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09254005
Volume :
373
Database :
Academic Search Index
Journal :
Sensors & Actuators B: Chemical
Publication Type :
Academic Journal
Accession number :
159657846
Full Text :
https://doi.org/10.1016/j.snb.2022.132733