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Background: Hylurgus ligniperda is an invasive bark beetle that poses a serious threat to global coniferous forests and the timber trade. Its broad host range, high reproductive potential, and strong environmental adaptability enable it to establish and spread rapidly in newly invaded regions. In October 2020, H. ligniperda was first reported in Shandong Province, China. Developing a rapid, sensitive, and accurate field detection method is critical for early interception and effective management.
Results: We developed a detection method for H. ligniperda based on recombinase polymerase amplification (RPA) coupled with CRISPR/Cas12a, with results monitored via fluorescence signals and lateral flow dipstick (LFD). The mitochondrial COI gene was selected as the target sequence, and key parameters-including incubation time, temperature, and concentrations of Cas12a protein and CRISPR RNA (crRNA)-were optimized. The RPA-CRISPR-LbaCas12a-LFD assay exhibited high specificity and sensitivity, successfully distinguishing H. ligniperda from five closely related species, and detecting target DNA at concentrations as low as 1 copy per μL. Finally, The field applicability of the detection system was validated using samples from global geographic populations.
Conclusion: This study establishes a portable, rapid, and sensitive visual detection system for H. ligniperda based on RPA-CRISPR-LbaCas12a-LFD, suitable for both laboratory and field applications. The method enables field detection without the need for specialized equipment, offering a robust tool for invasive pest surveillance, port quarantine, and early warning. © 2025 Society of Chemical Industry.
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http://dx.doi.org/10.1002/ps.70099 | DOI Listing |
Pest Manag Sci
August 2025
Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing, China.
Background: Hylurgus ligniperda is an invasive bark beetle that poses a serious threat to global coniferous forests and the timber trade. Its broad host range, high reproductive potential, and strong environmental adaptability enable it to establish and spread rapidly in newly invaded regions. In October 2020, H.
View Article and Find Full Text PDFPest Manag Sci
July 2025
Key Laboratory of Forest Protection of the National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China.
Background: Forests in nearly all regions worldwide are affected by invasions of non-native bark beetles. Hylurgus ligniperda (Fabricius) is a globally invasive bark beetle that stealthily jeopardizes pine health and spreads worldwide insidiously. The worldwide occurrence of Hylurgus ligniperda challenges trade in pine logs or wooden materials.
View Article and Find Full Text PDFJ Econ Entomol
February 2025
Key Laboratory of Forest Protection of the National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China.
PLoS One
November 2024
Beijing Key Laboratory for Forest Pest Control, College of Forestry, Beijing Forestry University, Beijing, China.
The Hylurgini tribe (Coleoptera: Curculionidae: Scolytinae) comprises commercially significant bark beetles, including invasive species within the genera Dendroctonus and Hylurgus. These invasive species coexist with native Tomicus species of Hylurgini and cooperatively infest host trees in China. However, we lack sufficient mitochondrial genome data of Hylurgini to conduct phylogenetic studies, clarify the phylogenetic relationships of the above species, and improve the understanding of niche divergence and common hazards.
View Article and Find Full Text PDFPest Manag Sci
September 2024
The Key Laboratory of Forest Pest Control, College of Forestry, Beijing Forestry University, Beijing, China.
Background: Hylurgus ligniperda, an invasive species originating from Eurasia, is now a major forestry quarantine pest worldwide. In recent years, it has caused significant damage in China. While traps have been effective in monitoring and controlling pests, manual inspections are labor-intensive and require expertise in insect classification.
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