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通过大规模RNA干扰对褐飞虱繁殖力相关基因的发现与功能鉴定

Discovery and functional identification of fecundity-related genes in the brown planthopper by large-scale RNA interference.

作者信息

Qiu J, He Y, Zhang J, Kang K, Li T, Zhang W

机构信息

State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou, China.

出版信息

Insect Mol Biol. 2016 Dec;25(6):724-733. doi: 10.1111/imb.12257. Epub 2016 Jul 29.

DOI:10.1111/imb.12257
PMID:27472833
Abstract

Recently, transcriptome and proteome data have increasingly been used to identify potential novel genes related to insect phenotypes. However, there are few studies reporting the large-scale functional identification of such genes in insects. To identify novel genes related to fecundity in the brown planthopper (BPH), Nilaparvata lugens, 115 genes were selected from the transcriptomic and proteomic data previously obtained from high- and low-fecundity populations in our laboratory. The results of RNA interference (RNAi) feeding experiments showed that 91.21% of the genes were involved in the regulation of vitellogenin (Vg) expression and may influence BPH fecundity. After RNAi injection experiments, 12 annotated genes were confirmed as fecundity-related genes and three novel genes were identified in the BPH. Finally, C-terminal binding protein (CtBP) was shown to play an important role in BPH fecundity. Knockdown of CtBP not only led to lower survival, underdeveloped ovaries and fewer eggs laid but also resulted in a reduction in Vg protein expression. The novel gene resources gained from this study will be useful for constructing a Vg regulation network and may provide potential target genes for RNAi-based pest control.

摘要

最近,转录组和蛋白质组数据越来越多地用于鉴定与昆虫表型相关的潜在新基因。然而,很少有研究报道在昆虫中对这类基因进行大规模功能鉴定。为了鉴定与褐飞虱(BPH),即褐飞虱(Nilaparvata lugens)繁殖力相关的新基因,从我们实验室先前从高繁殖力和低繁殖力种群获得的转录组和蛋白质组数据中选择了115个基因。RNA干扰(RNAi)饲喂实验结果表明,91.21%的基因参与了卵黄蛋白原(Vg)表达的调控,可能影响褐飞虱的繁殖力。经过RNAi注射实验,12个注释基因被确认为与繁殖力相关的基因,并在褐飞虱中鉴定出3个新基因。最后,C末端结合蛋白(CtBP)被证明在褐飞虱繁殖力中起重要作用。敲低CtBP不仅导致存活率降低、卵巢发育不全和产卵减少,还导致Vg蛋白表达降低。本研究获得的新基因资源将有助于构建Vg调控网络,并可能为基于RNAi的害虫防治提供潜在的靶基因。

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