The Asian longhorned beetle (Coleoptera:Cerambycidae: Anoplophora glabripennis (Motschulsky)) is a wood-boring insect native to China and the Korean peninsula and has become a highly destructive invasive pest that poses a global threat to temperate broadleaved forests. The cold tolerance ability is one of the most important reason for its invasive. Given its invasiveness threat, geneticists spare no effort to prevent harm from this forest pest. One of the most critical methods is via biosurveillance, intending to detect occurrences and prevent invasion at the earliest possible stage, and improve decision‐making with regards to the invasive species. In this study, we performed a pooled whole-genome sequencing (Pool-seq) approach which provides a cost-effective alternative for population genomic research. We sequenced ten pools of ALB individuals and called SNPs using GATK and Samtools. We applied the Gene Environment Association Analysis methods, such as RDA and BayPass to identifying SNPs that associated with the climate variables. With the results in the future, we aim for integrating complex genomic information into more user-friendly tools, we can rapidly and accurately accomplish biosurveillance, which is of great benefit to law enforcement for better management and containment of the pest.
