基于 RNA 干扰管理甘蓝茎跳甲的有效目标基因

Doga CEDDEN, Gozde Guney, Xavier Debaisieux, Stefan Scholten, Michael Rostas, Gregor Bucher
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引用次数: 0

摘要

卷心菜茎跳甲(CSFB,Psylliodes chrysocephala)是油菜的主要害虫。出于对环境的担忧,欧盟禁止使用新烟碱类杀虫剂,而且出现了对除虫菊酯产生抗性的种群,这使得控制菜青虫变得极具挑战性。为了寻找解决方案,我们最近发现 RNA 干扰(RNAi)在 CSFB 的防治中具有潜力。然而,以前测试过的 RNAi 介导的害虫控制目标基因(后称目标基因)表现出中等和缓慢的致死效应。在本研究中,我们利用在蓖麻蒺藜中进行的全基因组 RNAi 筛选结果,口服了 27 种双链 RNA(dsRNA),以确定 CSFB 成虫的高效靶基因。我们使用 500 ng dsRNA 筛选出了 10 个中度有效(50% 死亡率)和 4 个高效靶基因(8-13 天内 100% 死亡率)。后者主要包括蛋白酶体亚基。RT-qPCR 实验证实了靶基因的沉默,剂量反应研究显示,单次暴露于 dsRNA 14 天后的半数致死剂量(LD50)低至约 20 毫微克。四种高效的 dsRNA 还能抑制叶片损伤(高达约 75%),其中一种还能影响运动。研究人员在非目标生物(如蜜蜂等有益生物)中对有希望的目标基因序列进行了硅学目标预测,从而设计出环境友好型 dsRNA。总之,该研究为开发基于 dsRNA 的 CSFB 杀虫剂提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effective target genes for RNA interference-based management of the cabbage stem flea beetle
The cabbage stem flea beetle (CSFB, Psylliodes chrysocephala) is a key pest of oilseed rape. The ban on neonicotinoids in the European Union due to environmental concerns and the emergence of pyrethroid-resistant populations have made the control of CSFB extremely challenging. In search of a solution, we have recently shown that RNA interference (RNAi) has potential in the management of CSFB. However, the previously tested target genes for RNAi-mediated pest control (subsequently called target genes) exhibited moderate and slow-acting lethal effects. In this study, 27 double-stranded RNAs (dsRNAs) were orally delivered to identify highly effective target genes in CSFB adults by leveraging the findings of a genome-wide RNAi screen in Tribolium castaneum. Our screen using 500 ng of dsRNA identified 10 moderately effective (> 50% mortality) and 4 highly effective target genes (100% mortality in 8-13 days). The latter mainly included proteasome subunits. RT-qPCR experiments confirmed target gene silencing and dose-response studies revealed LD50 values as low as ~20 ng in 14 days following a single exposure to dsRNA. Four highly effective dsRNAs also inhibited leaf damage (up to ~75%) and one affected locomotion. The sequences of promising target genes were subjected to in silico target prediction in non-target organisms, e.g., beneficials such as honeybees, to design environmentally friendly dsRNAs. Overall, the study provides valuable insights for the development of dsRNA-based insecticides against CSFB.
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