寻找 RNAi- 媒介害虫控制的最佳目标基因。

IF 2.3 2区 农林科学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Doga Cedden, Gregor Bucher
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引用次数: 0

摘要

RNA 干扰(RNAi)已成为害虫控制中传统杀虫剂的环保型替代品。本综述强调了确定 RNAi 介导的害虫控制的最佳靶基因的重要性。我们认为,基于知识预测有效靶标的方法受限于我们目前的知识空白,因此无偏见筛选是发现最佳靶标过程和基因的上佳方法。我们强调,最近有证据表明,以保守的基本细胞过程(如蛋白质降解和翻译)为靶标比以经典的杀虫剂靶标过程为靶标更为有效。我们将以前报道的 RNAi 靶基因和传统杀虫剂靶基因的功效与我们在红面粉甲虫(Tribolium castaneum)中进行的全基因组 RNAi 筛选数据进行了比较,从而支持这些说法。最后,我们为在其他害虫中识别优秀的靶基因提供了实用建议,因为在其他害虫中进行大规模 RNAi 筛选通常具有挑战性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The quest for the best target genes for RNAi-mediated pest control.

RNA interference (RNAi) has emerged as an eco-friendly alternative to classic pesticides for pest control. This review highlights the importance of identifying the best target genes for RNAi-mediated pest control. We argue that the knowledge-based approach to predicting effective targets is limited by our current gaps of knowledge, making unbiased screening a superior method for discovering the best target processes and genes. We emphasize the recent evidence that suggests targeting conserved basic cellular processes, such as protein degradation and translation, is more effective than targeting the classic pesticide target processes. We support these claims by comparing the efficacy of previously reported RNAi target genes and classic insecticide targets with data from our genome-wide RNAi screen in the red flour beetle, Tribolium castaneum. Finally, we provide practical advice for identifying excellent target genes in other pests, where large-scale RNAi screenings are typically challenging.

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来源期刊
Insect Molecular Biology
Insect Molecular Biology 生物-昆虫学
CiteScore
4.80
自引率
3.80%
发文量
68
审稿时长
6-12 weeks
期刊介绍: Insect Molecular Biology has been dedicated to providing researchers with the opportunity to publish high quality original research on topics broadly related to insect molecular biology since 1992. IMB is particularly interested in publishing research in insect genomics/genes and proteomics/proteins. This includes research related to: • insect gene structure • control of gene expression • localisation and function/activity of proteins • interactions of proteins and ligands/substrates • effect of mutations on gene/protein function • evolution of insect genes/genomes, especially where principles relevant to insects in general are established • molecular population genetics where data are used to identify genes (or regions of genomes) involved in specific adaptations • gene mapping using molecular tools • molecular interactions of insects with microorganisms including Wolbachia, symbionts and viruses or other pathogens transmitted by insects Papers can include large data sets e.g.from micro-array or proteomic experiments or analyses of genome sequences done in silico (subject to the data being placed in the context of hypothesis testing).
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