Abstract 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.
Bao et al. (Sat,) studied this question.
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