High‐throughput transcriptome mining and in silico screening reveal saccharide feeding stimulants for <i>Cydia pomonella</i> larvae

Abstract The codling moth ( Cydia pomonella ) is a globally significant internal‐feeding pest of apple and other pome fruits, yet its cryptic larval behavior poses challenges to conventional control strategies. To identify effective feeding stimulants for manipulating larval‐stage behavior, we established an integrative pipeline combining large‐scale transcriptomic profiling, in silico receptor‐ligand docking, and behavioral assays. Based on transcriptomes spanning 10 tissues and 21 developmental stages, we annotated 59 gustatory receptors (GRs) (CpomGRs) and 53 ionotropic receptors (CpomIRs). Candidates enriched in chemosensory tissues and larval stages were selected for structural modeling. Computational docking of 117 apple‐related metabolites against selected receptors identified high‐affinity interactions, particularly between sugar compounds and GRs/IRs. Behavioral feeding assays confirmed that isoquercitrin, a flavonoid glycoside, significantly enhanced larval feeding in a dose‐dependent manner, with 1‰ concentration yielding effects comparable to a full sugar mixture. This study demonstrates the utility of transcriptome‐guided in silico screening for discovering behaviorally active tastants and provides a foundation for developing bait‐based control strategies targeting codling moth larvae. The approach outlined here offers a scalable framework for identifying chemosensory targets and feeding stimulants in other cryptic insect pests.