Abstract: 【Aim】 Conopomorpha sinensis Bradley is a major and specific fruit borer pest of litchi and longan in Southern China. It is difficult to be controlled because of its better concealment, and there is a lack of its genomic information. The objective of this study is to obtain the genetic data of C. sinensis and to seek effective molecular targets for pest control. 【Methods】 The transcriptome of C. sinensis was sequenced using the Illumina HiSeq^TM 4000 sequencing platform and bioinformatics analysis. 【Results】 The clean reads were then de novo assembled into 68 996 unigenes. Through a similarity search against seven public databases, 22 348 unigenes were annotated. Most unigenes were annotated to Nr database (27.01%), and the unigenes of C. sinensis have the highest homology to those of Plutella xylostella in species distribution of unigenes in Nr database (34.1%). According to GO database, 15 585 unigenes were broadly divided into 3 categories and 47 sub-types. By searching KEGG database, 7 272 unigenes were located into 267 metabolic pathways. By further screening and identification, 100 olfaction-related genes of C. sinensis were obtained. Analysis of odorant binding protein genes from C. sinensis (CsOBPs) and the closely related species of Lepidoptera revealed that these genes form 18 OBP ortholog groups, and some form a unique cluster. 【Conclusion】 This study acquired the transcriptome data of C. sinensis for the first time. The results will provide valuable basic data and candidate molecular targets for biological control of C. sinensis. The unique CsOBPs might be associated with habitat-specific chemical components of C. sinensis.  

Key words: Conopomorpha sinensis, transcriptome, high-throughput sequencing technology, gene annotation, olfactory gene