Literature DB >> 34495520

Double-Strand RNA (dsRNA) Delivery Methods in Insects: Diaphorina citri.

Yulica Santos-Ortega1, Alex Flynt2.   

Abstract

RNAi is a gene-silencing mechanism conserved in the vast majority of eukaryotes. It is widely used to study gene function in animals due to the ease of eliciting gene knockdown. Beyond research applications, RNAi technology based on exogenous dsRNA is a promising candidate for next generation insect pest control. An advantage of using RNAi is that design of dsRNA essentially requires only the sequence of the target gene. The greatest challenge, however, is dsRNA delivery for large-scale insect control. Delivery methods that have widely been used are oral, injection, or via soaking. Unfortunately, each insect presents its own challenges owing to the differences in the presence of dsRNA degrading enzymes, cellular uptake efficiency, expression of core RNAi machinery, the nature of the target gene, the concentration and persistence of the dsRNA, as well as the particular way of feeding of each insect, which together cause variations in the efficiency of RNAi. In this chapter, a protocol for the synthetic production of dsRNA is described along with three methods for delivery that have been successful in one of the more problematic insects, Diaphorina citri.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Feeding; Insect; RNAi; Soaking; Topical feeding; dsRNA design; dsRNA synthesis

Mesh:

Substances:

Year:  2022        PMID: 34495520      PMCID: PMC8959005          DOI: 10.1007/978-1-0716-1633-8_19

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  119 in total

1.  Large-scale analysis of gene function in Caenorhabditis elegans by high-throughput RNAi.

Authors:  I Maeda; Y Kohara; M Yamamoto; A Sugimoto
Journal:  Curr Biol       Date:  2001-02-06       Impact factor: 10.834

Review 2.  Mechanisms of dsRNA uptake in insects and potential of RNAi for pest control: a review.

Authors:  Hanneke Huvenne; Guy Smagghe
Journal:  J Insect Physiol       Date:  2009-10-27       Impact factor: 2.354

3.  Use of double-stranded RNA interference in Drosophila cell lines to dissect signal transduction pathways.

Authors:  J C Clemens; C A Worby; N Simonson-Leff; M Muda; T Maehama; B A Hemmings; J E Dixon
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-06       Impact factor: 11.205

Review 4.  Emerging strategies for RNA interference (RNAi) applications in insects.

Authors:  Raja Sekhar Nandety; Yen-Wen Kuo; Shahideh Nouri; Bryce W Falk
Journal:  Bioengineered       Date:  2014-12-31       Impact factor: 3.269

5.  The structural sheath protein of aphids is required for phloem feeding.

Authors:  Torsten Will; Andreas Vilcinskas
Journal:  Insect Biochem Mol Biol       Date:  2014-12-17       Impact factor: 4.714

Review 6.  Origins and Mechanisms of miRNAs and siRNAs.

Authors:  Richard W Carthew; Erik J Sontheimer
Journal:  Cell       Date:  2009-02-20       Impact factor: 41.582

7.  Silencing of acetylcholinesterase gene of Helicoverpa armigera by siRNA affects larval growth and its life cycle.

Authors:  Maneesh Kumar; Gorakh Prasad Gupta; Manchikatla Venkat Rajam
Journal:  J Insect Physiol       Date:  2009-01-23       Impact factor: 2.354

8.  RNA interference with the allatoregulating neuropeptide genes from the fall armyworm Spodoptera frugiperda and its effects on the JH titer in the hemolymph.

Authors:  Manuela Griebler; Stephanie A Westerlund; Klaus H Hoffmann; Martina Meyering-Vos
Journal:  J Insect Physiol       Date:  2008-05-24       Impact factor: 2.354

9.  RNA interference of four genes in adult Bactrocera dorsalis by feeding their dsRNAs.

Authors:  Xiaoxue Li; Mingyan Zhang; Hongyu Zhang
Journal:  PLoS One       Date:  2011-03-18       Impact factor: 3.240

10.  Reverse Genetics and High Throughput Sequencing Methodologies for Plant Functional Genomics.

Authors:  Anis Ben-Amar; Samia Daldoul; Götz M Reustle; Gabriele Krczal; Ahmed Mliki
Journal:  Curr Genomics       Date:  2016-12       Impact factor: 2.236

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