Literature DB >> 24759044

Differential effects of RNAi treatments on field populations of the western corn rootworm.

Chia-Ching Chu1, Weilin Sun2, Joseph L Spencer3, Barry R Pittendrigh2, Manfredo J Seufferheld4.   

Abstract

RNA interference (RNAi) mediated crop protection against insect pests is a technology that is greatly anticipated by the academic and industrial pest control communities. Prior to commercialization, factors influencing the potential for evolution of insect resistance to RNAi should be evaluated. While mutations in genes encoding the RNAi machinery or the sequences targeted for interference may serve as a prominent mechanism of resistance evolution, differential effects of RNAi on target pests may also facilitate such evolution. However, to date, little is known about how variation of field insect populations could influence the effectiveness of RNAi treatments. To approach this question, we evaluated the effects of RNAi treatments on adults of three western corn rootworm (WCR; Diabrotica virgifera virgifera LeConte) populations exhibiting different levels of gut cysteine protease activity, tolerance of soybean herbivory, and immune gene expression; two populations were collected from crop rotation-resistant (RR) problem areas and one from a location where RR was not observed (wild type; WT). Our results demonstrated that RNAi targeting DvRS5 (a highly expressed cysteine protease gene) reduced gut cysteine protease activity in all three WCR populations. However, the proportion of the cysteine protease activity that was inhibited varied across populations. When WCR adults were treated with double-stranded RNA of an immune gene att1, different changes in survival among WT and RR populations on soybean diets occurred. Notably, for both genes, the sequences targeted for RNAi were the same across all populations examined. These findings indicate that the effectiveness of RNAi treatments could vary among field populations depending on their physiological and genetic backgrounds and that the consistency of an RNAi trait's effectiveness on phenotypically different populations should be considered or tested prior to wide deployment. Also, genes that are potentially subjected to differential selection in the field should be avoided for RNAi-based pest control. Published by Elsevier Inc.

Entities:  

Keywords:  Cysteine protease; Insect resistance management; Pest resistance; RNA interference; Western corn rootworm

Mesh:

Substances:

Year:  2014        PMID: 24759044     DOI: 10.1016/j.pestbp.2014.02.003

Source DB:  PubMed          Journal:  Pestic Biochem Physiol        ISSN: 0048-3575            Impact factor:   3.963


  12 in total

Review 1.  Insecticidal Gene Silencing by RNAi in the Neotropical Region.

Authors:  N P Dias; D Cagliari; E A Dos Santos; G Smagghe; J L Jurat-Fuentes; S Mishra; D E Nava; M J Zotti
Journal:  Neotrop Entomol       Date:  2019-11-20       Impact factor: 1.434

2.  RNA interference in Colorado potato beetle: steps toward development of dsRNA as a commercial insecticide.

Authors:  Subba Reddy Palli
Journal:  Curr Opin Insect Sci       Date:  2014-12       Impact factor: 5.186

3.  Discovery of a dicer-independent, cell-type dependent alternate targeting sequence generator: implications in gene silencing & pooled RNAi screens.

Authors:  Bhavneet Bhinder; David Shum; Mu Li; Glorymar Ibáñez; Alexander V Vlassov; Susan Magdaleno; Hakim Djaballah
Journal:  PLoS One       Date:  2014-07-02       Impact factor: 3.240

4.  Reduced stability and intracellular transport of dsRNA contribute to poor RNAi response in lepidopteran insects.

Authors:  Jayendra Nath Shukla; Megha Kalsi; Amit Sethi; Kenneth E Narva; Elane Fishilevich; Satnam Singh; Kanakachari Mogilicherla; Subba Reddy Palli
Journal:  RNA Biol       Date:  2016-05-31       Impact factor: 4.652

Review 5.  RNA Interference in Insect Vectors for Plant Viruses.

Authors:  Surapathrudu Kanakala; Murad Ghanim
Journal:  Viruses       Date:  2016-12-12       Impact factor: 5.048

6.  In silico identification of off-target pesticidal dsRNA binding in honey bees (Apis mellifera).

Authors:  Christina L Mogren; Jonathan Gary Lundgren
Journal:  PeerJ       Date:  2017-12-13       Impact factor: 2.984

7.  RNAi-based reverse genetics in the chelicerate model Tetranychus urticae: A comparative analysis of five methods for gene silencing.

Authors:  Takeshi Suzuki; Maria Andreia Nunes; María Urizarna España; Hooman Hosseinzadeh Namin; Pengyu Jin; Nicolas Bensoussan; Vladimir Zhurov; Tawhid Rahman; Rebecca De Clercq; Pierre Hilson; Vojislava Grbic; Miodrag Grbic
Journal:  PLoS One       Date:  2017-07-12       Impact factor: 3.240

8.  Pore-forming protein complexes from Pleurotus mushrooms kill western corn rootworm and Colorado potato beetle through targeting membrane ceramide phosphoethanolamine.

Authors:  Anastasija Panevska; Vesna Hodnik; Matej Skočaj; Maruša Novak; Špela Modic; Ivana Pavlic; Sara Podržaj; Miki Zarić; Nataša Resnik; Peter Maček; Peter Veranič; Jaka Razinger; Kristina Sepčić
Journal:  Sci Rep       Date:  2019-03-25       Impact factor: 4.379

Review 9.  Biosafety research for non-target organism risk assessment of RNAi-based GE plants.

Authors:  Andrew F Roberts; Yann Devos; Godwin N Y Lemgo; Xuguo Zhou
Journal:  Front Plant Sci       Date:  2015-11-06       Impact factor: 5.753

Review 10.  RNA Interference in Insects: Protecting Beneficials and Controlling Pests.

Authors:  Elise Vogel; Dulce Santos; Lina Mingels; Thomas-Wolf Verdonckt; Jozef Vanden Broeck
Journal:  Front Physiol       Date:  2019-01-11       Impact factor: 4.566

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