Gene silencing by RNAi via oral delivery of dsRNA by bacteria in the South American tomato pinworm, Tuta absoluta

绝对图塔 RNA干扰 生物 RNA沉默 基因沉默 保幼激素 基因敲除 基因 遗传学 核糖核酸 植物 有害生物分析 幼虫 剑鱼科
作者
Flavia de Moura Manoel Bento,Rodrigo Neves Marques,Felippe B. Campana,Clarice Garcia Borges Demétrio,Roseli Aparecida Leandro,José Roberto Postali Parra,Antônio Figueira
出处
期刊:Pest Management Science [Wiley]
卷期号:76 (1): 287-295 被引量:52
标识
DOI:10.1002/ps.5513
摘要

Abstract BACKGROUND RNA interference (RNAi) has been evaluated in several insect pests as a novel strategy to be included in integrated pest management. Lepidopterans are recognized to be recalcitrant to gene silencing by RNAi. As such, double‐stranded RNA (dsRNA) delivery needs to be adjusted to assure its stability until it reaches the target gene transcript for silencing. Gene silencing by RNAi offers the potential to be used in the control of Tuta absoluta (Meyrick), one of the main insect pests of tomato ( Solanum lycopersicum ) worldwide. Here, we tested the delivery of dsRNA expressed in Escherichia coli HT115(DE3) and supplied to larvae in an artificial diet by screening target genes for silencing. We tested six target genes: juvenile hormone inducible protein ( JHP ); juvenile hormone epoxide hydrolase protein ( JHEH ); ecdysteroid 25‐hydroxylase ( PHM ); chitin synthase A ( CHI ); carboxylesterase ( COE ); and arginine kinase ( AK ). RESULTS Based on larval mortality, the duration of the larval stage in days, pupal weight, and the accumulation of the target gene transcript, we demonstrated the efficacy of bacterial dsRNA delivery for the functional effects on larval development. Providing dsRNA targeted to JHP , CHI , COE and AK by bacteria led to a significant decrease in transcript accumulation and an increase in larval mortality. CONCLUSION Bacteria expressing dsRNA targeting essential T. absoluta genes supplied in artificial diet are efficient to screen RNAi target‐genes. The oral delivery of dsRNA by bacteria is a novel potential alternative for the control of T. absoluta based on RNAi. © 2019 Society of Chemical Industry
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