A Handy and Visual Detection Method for Potato Late Blight Utilizing Multi-Copy Specific Sequences and RPA-LFD Technology

Potato late blight, caused by <i>Phytophthora infestans</i>, is one of the most destructive diseases affecting global potato production. Rapid and accurate detection of the pathogen is essential for effective disease prevention and control. In this study, a novel multi-copy and specific DNA sequence, designated <i>SSPI1</i> (<i>Specific Sequence of Phytophthora infestans 1</i>), was identified through bioinformatic analysis. Using seven closely related Phytophthora species and two additional common potato pathogens as controls, PCR assays demonstrated that <i>SSPI1</i> offers higher sensitivity than <i>PiYPT1</i> and improved specificity over <i>PiITS</i>. Based on this novel multi-copy sequence, we developed a rapid, user-friendly, and highly sensitive detection method for potato late blight by combining recombinase polymerase amplification (RPA) with lateral flow dipstick (LFD) technology. The entire diagnostic process-including crude DNA extraction, RPA amplification, and visual detection-can be completed within 35 min without the need for specialized equipment. Optimization results indicated that among nine candidate RPA primer pairs, RPA-F1/RPA-R2 exhibited the highest amplification efficiency. The optimal RPA reaction temperature range was determined to be 27-42°C, with a detection limit of 11 copies/μl for <i>SSPI1</i>. This method could detect as little as 100 pg of genomic DNA, identify samples collected as early as 24 h post-inoculation, and even detect infections in asymptomatic leaves under field conditions, demonstrating superior sensitivity compared to the <i>PiYPT1</i>-targeted RPA-LFD assay. Overall, this study presents a highly sensitive, specific, practical, and efficient tool for the early and rapid detection of potato late blight.

Authors

Institutions

Publication Details

Journal
Journal of Microbiology and Biotechnology
Published
2026-02-12
DOI
https://doi.org/10.4014/jmb.2509.09040
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Handy and Visual Detection Method for Potato Late Blight Utilizing Multi-Copy Specific Sequences and RPA-LFD Technology

Lei Chen, Yi Que, Zhiwei Zhang, Xia Wang et al.
Journal of Microbiology and Biotechnology
Smart Agriculture and AI
article

A Handy and Visual Detection Method for Potato Late Blight Utilizing Multi-Copy Specific Sequences and RPA-LFD Technology

Lei Chen, Yi Que, Zhiwei Zhang, Xia Wang, Guangjin Fan, Li Sheng, RongSheng Wang
article en

Abstract

Potato late blight, caused by <i>Phytophthora infestans</i>, is one of the most destructive diseases affecting global potato production. Rapid and accurate detection of the pathogen is essential for effective disease prevention and control. In this study, a novel multi-copy and specific DNA sequence, designated <i>SSPI1</i> (<i>Specific Sequence of Phytophthora infestans 1</i>), was identified through bioinformatic analysis. Using seven closely related Phytophthora species and two additional common potato pathogens as controls, PCR assays demonstrated that <i>SSPI1</i> offers higher sensitivity than <i>PiYPT1</i> and improved specificity over <i>PiITS</i>. Based on this novel multi-copy sequence, we developed a rapid, user-friendly, and highly sensitive detection method for potato late blight by combining recombinase polymerase amplification (RPA) with lateral flow dipstick (LFD) technology. The entire diagnostic process-including crude DNA extraction, RPA amplification, and visual detection-can be completed within 35 min without the need for specialized equipment. Optimization results indicated that among nine candidate RPA primer pairs, RPA-F1/RPA-R2 exhibited the highest amplification efficiency. The optimal RPA reaction temperature range was determined to be 27-42°C, with a detection limit of 11 copies/μl for <i>SSPI1</i>. This method could detect as little as 100 pg of genomic DNA, identify samples collected as early as 24 h post-inoculation, and even detect infections in asymptomatic leaves under field conditions, demonstrating superior sensitivity compared to the <i>PiYPT1</i>-targeted RPA-LFD assay. Overall, this study presents a highly sensitive, specific, practical, and efficient tool for the early and rapid detection of potato late blight.

Journal of Microbiology and BiotechnologyVol. 36
Chongqing University of Science and Technology (CN), Guizhou University (CN), Quality Enhancement Research Initiative (US), Chongqing Academy of Agricultural Sciences (CN)
Zero hunger
Openalex Percentile: Top 43%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.