The N‐glycosylation‐related genes as potential targets for RNAi‐mediated pest control of the Colorado potato beetle (Leptinotarsa decemlineata)

科罗拉多马铃薯甲虫 RNA干扰 瘦肉精 生物 基因沉默 RNA沉默 有害生物分析 糖基化 基因 遗传学 细胞生物学 植物 核糖核酸
作者
Dongdong Liu,Kristof De Schutter,Pengyu Chen,Guy Smagghe
出处
期刊:Pest Management Science [Wiley]
卷期号:78 (9): 3815-3822 被引量:8
标识
DOI:10.1002/ps.6732
摘要

Abstract BACKGROUND N ‐glycosylation is one of the most common and important post‐translational modifications in the eukaryotic cell. The study of protein N ‐glycosylation in several model insects confirmed the importance of this process in insect development, immunity, survival and fertility. The Colorado potato beetle ( Leptinotarsa decemlineata ) (CPB) is a common pest of Solanaceae crops. With the infamous title of champion of insecticide resistance, novel pest control strategies for this insect are needed. Luckily this pest insect is reported as very sensitive for the post‐genomic technology of RNA interference (RNAi). RESULTS In this project, we investigated the importance of N ‐glycosylation in the survival and development of CPB using RNAi‐mediated gene silencing of N ‐glycosylation‐related genes (NGRGs) during the different transition steps from the larva, through the pupa to the adult stage. High mortality was observed in the larval stage with the silencing of early NGRGs, as STT3a, DAD1 and GCS1. With dsRNA against middle NGRGs, abnormal phenotypes at the ecdysis process and adult formation were observed, while the silencing of late NGRGs did not cause mortality. CONCLUSION The lethal phenotypes observed on silencing of the genes involved in the early processing steps of the N ‐glycosylation pathway suggest these genes are good candidates for RNAi‐mediated control of CPB. Next to the gene‐specific mechanism of RNAi for biosafety and possible implementation in integrated pest management, we believe these early NGRGs provide a possible alternative to the well‐known target genes Snf7 and vacuolar ATPases that are now used in the first commercial RNAi‐based products and thus they may be useful in the context of proactive resistance management. © 2021 Society of Chemical Industry.
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