Transcriptome Analysis and Screening for Potential Target Genes for RNAi-Mediated Pest Control of the Beet Armyworm, Spodoptera exigua

Li, Hang; Jiang, Weihua; Zhang, Zan; Xing, Yao‐Wu; Li, Fēi

doi:10.1371/journal.pone.0065931

Cited by 56 publications

(60 citation statements)

References 40 publications

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“…One approach [23] is to take the longest transcript, with the rationale that it is probably the full-length transcript. However, we found long transcripts in this dataset that resulted from the erroneous joining of two smaller transcripts through misassembly, suggesting this is not always a good metric.…”

Section: Discussionmentioning

confidence: 99%

Rapid transcriptome sequencing of an invasive pest, the brown marmorated stink bug Halyomorpha halys

Ioannidis

Kumar

et al. 2014

BMC Genomics

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BackgroundHalyomorpha halys (Stål) (Insecta:Hemiptera;Pentatomidae), commonly known as the Brown Marmorated Stink Bug (BMSB), is an invasive pest of the mid-Atlantic region of the United States, causing economically important damage to a wide range of crops. Native to Asia, BMSB was first observed in Allentown, PA, USA, in 1996, and this pest is now well-established throughout the US mid-Atlantic region and beyond. In addition to the serious threat BMSB poses to agriculture, BMSB has become a nuisance to homeowners, invading home gardens and congregating in large numbers in human-made structures, including homes, to overwinter. Despite its significance as an agricultural pest with limited control options, only 100 bp of BMSB sequence data was available in public databases when this project began.ResultsTranscriptome sequencing was undertaken to provide a molecular resource to the research community to inform the development of pest control strategies and to provide molecular data for population genetics studies of BMSB. Using normalized, strand-specific libraries, we sequenced pools of all BMSB life stages on the Illumina HiSeq. Trinity was used to assemble 200,000 putative transcripts in >100,000 components. A novel bioinformatic method that analyzed the strand-specificity of the data reduced this to 53,071 putative transcripts from 18,573 components. By integrating multiple other data types, we narrowed this further to 13,211 representative transcripts.ConclusionsBacterial endosymbiont genes were identified in this dataset, some of which have a copy number consistent with being lateral gene transfers between endosymbiont genomes and Hemiptera, including ankyrin-repeat related proteins, lysozyme, and mannanase. Such genes and endosymbionts may provide novel targets for BMSB-specific biocontrol. This study demonstrates the utility of strand-specific sequencing in generating shotgun transcriptomes and that rapid sequencing shotgun transcriptomes is possible without the need for extensive inbreeding to generate homozygous lines. Such sequencing can provide a rapid response to pest invasions similar to that already described for disease epidemiology.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2164-15-738) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Rapid transcriptome sequencing of an invasive pest, the brown marmorated stink bug Halyomorpha halys

Ioannidis

Kumar

et al. 2014

BMC Genomics

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“…The main challenge for RNAi-mediated pest management is the target-gene selection [50,51] and determining how to effectively introduce the exogenous dsRNA into the target pest [56,125]. …”

Section: Rnai-based Control Of Moth Pestsmentioning

confidence: 99%

“…These genes should not only have insecticidal effects on the target pests, but should also be safe to nontarget organisms. Over the past decade, quite a number of key genes that relate to insect digestion, respiration, muscle, endocrine, nerves, and reproduction have proven to be effective candidates for pest control by using RNAi [50,51,126]. These candidate genes include the chitin synthase, amino peptidase, arginine kinase, cytochrome P450, actylcholinesterase, arginine kinase, amino peptidase N, allatostatin, allatotropin, tryptophan oxygenase, vacuolar ATPase, acetylcholine esterase , glutathione-S-transferase , and others.…”

Section: Rnai-based Control Of Moth Pestsmentioning

confidence: 99%

“…Moreover, high-throughput screen methods of optimal target genes are considered as the most important, particularly in those pests that lack genome information. Previous studies have demonstrated that the second-generation sequencing supplies an effective way to screen RNAi targets in large scale for potential application in pest insect control [50,51]. Recently developed third-generation sequencing and mapping technologies will provide a more effective and reliable way to screen RNAi targets for pest control [127].…”

Section: Rnai-based Control Of Moth Pestsmentioning

confidence: 99%

“…Using transcriptome analysis, Li et al [51] obtained 18,592 contigs that are annotated as protein-coding genes in the beet armyworm, S. exigua. Knockdown of eight genes including chitinase7 , PGCP , chitinase1 , ATPase , tubulin1 , arf2 , tubulin2 , and arf1 , by injection of 4 μg dsRNA per larvae in fourth-instar larvae, caused a significantly high level of mortality compared to the negative control (larval mortality increases of 5%–28%, depending on specific genes).…”

Section: Rnai-based Control Of Moth Pestsmentioning

confidence: 99%

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RNA Interference in Moths: Mechanisms, Applications, and Progress

Wang

Chen

et al. 2016

Genes

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The vast majority of lepidopterans, about 90%, are moths. Some moths, particularly their caterpillars, are major agricultural and forestry pests in many parts of the world. However, some other members of moths, such as the silkworm Bombyx mori, are famous for their economic value. Fire et al. in 1998 initially found that exogenous double-stranded RNA (dsRNA) can silence the homolog endogenous mRNA in organisms, which is called RNA interference (RNAi). Soon after, the RNAi technique proved to be very promising not only in gene function determination but also in pest control. However, later studies demonstrate that performing RNAi in moths is not as straightforward as shown in other insect taxa. Nevertheless, since 2007, especially after 2010, an increasing number of reports have been published that describe successful RNAi experiments in different moth species either on gene function analysis or on pest management exploration. So far, more than 100 peer-reviewed papers have reported successful RNAi experiments in moths, covering 10 families and 25 species. By using classic and novel dsRNA delivery methods, these studies effectively silence the expression of various target genes and determine their function in larval development, reproduction, immunology, resistance against chemicals, and other biological processes. In addition, a number of laboratory and field trials have demonstrated that RNAi is also a potential strategy for moth pest management. In this review, therefore, we summarize and discuss the mechanisms and applications of the RNAi technique in moths by focusing on recent progresses.

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RNA interference‐mediated control of cigarette beetle, Lasioderma serricorne

Koo

Chereddy

Palli

2020

Arch Insect Biochem Physiol

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The cigarette beetle (CB; Lasioderma serricorne) is a pest on many stored products including tobacco. Fumigation is the common control method currently used. However, the options for controlling this pest are limited, due to resistance issues and phasing out of currently used chemical insecticides. Here, we evaluated RNA interference (RNAi) as a potential method for controlling the CB. RNA isolated from different stages was sequenced and assembled into a transcriptome. The CB RNA sequences showed the highest homology with those in the red flour beetle, Tribolium castaneum. Orthologs of proteins known to function in RNAi pathway were identified in the CB transcriptome, suggesting that RNAi may work well in this insect. Also, 32P‐labeled double‐stranded RNA (dsRNA) injected into CB larvae and adults was processed to small interference RNAs. We selected 12 genes that were shown to be the effective RNAi targets in T. castaneum and other insects and identified orthologs of them in the CB by searching its transcriptome. Injection of dsRNA targeting genes coding for GAWKY, Kinesin, Sec23, SNF7, and 26S proteasome subunit 6B into the CB larvae caused 100% mortality. Feeding dsRNA targeting SNF7 and 26S proteasome subunit 6B by sucrose droplet assay induced more than 90% mortality, which is 1.8 times higher than the mortality induced by dsGFP control (53%). These data demonstrate an efficient RNAi response in CB, suggesting that RNAi could be developed as an efficient method to control this pest.

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Transcriptome Analysis and Screening for Potential Target Genes for RNAi-Mediated Pest Control of the Beet Armyworm, Spodoptera exigua

Cited by 56 publications

References 40 publications

Rapid transcriptome sequencing of an invasive pest, the brown marmorated stink bug Halyomorpha halys

Rapid transcriptome sequencing of an invasive pest, the brown marmorated stink bug Halyomorpha halys

RNA Interference in Moths: Mechanisms, Applications, and Progress

RNA interference‐mediated control of cigarette beetle, Lasioderma serricorne

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