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Genomic Analysis Reveals Annual Variation in the Migratory Pathways to East Asia in the Brown Planthopper ( <i>Nilaparvata lugens</i> )

2025/10/01 by Nak Jung Choi, In Jeong Kang, Kiwoong Nam · 1 voice
Agricultural and Biological Sciences · Environmental Science · #Insect-Plant Interactions and Control #Oil Palm Production and Sustainability #Plant Virus Research Studies

paper · pdf · doi:10.1111/eva.70171

openalex publication_date 2025/10/01 · openalex created_date 2025/10/23 · openalex updated_date 2026/07/23

Abstract

ABSTRACT The brown planthopper (BPH, Nilaparvata lugens ) is a major rice pest in Asia, causing significant yield losses. As BPH cannot overwinter in temperate regions, East Asian populations are wind‐borne migratory insects originating from tropical regions. The identification of precise migratory patterns is essential for forecasting BPH outbreaks and implementing effective pest management strategies. Despite extensive studies using meteorological data, field population observations, and whole‐genome analyses, the BPH migratory pathways to East Asia remain unclear. To address this question, we conducted population genomics analyses using 454 BPH individuals densely collected from China, Korea, and Vietnam between 2017 and 2022. We showed that BPH migration into East Asia exhibits substantial annual variation and involves genomically distinct overwintering origins. Principal component analysis revealed two major groups with whole‐genome differentiation. This separation was confirmed by statistically significant F ST estimates, suggesting migration pathways involving at least two overwintering populations. Ancestry coefficient analysis further confirmed the complexity of the ancestry of East Asian BPH. These results demonstrate the complex migratory dynamics of East Asian BPH populations, possibly with the influence of differential selective pressures among overwintering origins. Given the heterogeneity of migratory pathways to East Asia, we argue for temporally and geographically dense field monitoring with the incorporation of genetic information to enhance early warning and BPH management strategies.

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