Cargando…

Next Generation dsRNA-Based Insect Control: Success So Far and Challenges

RNA interference (RNAi) is a method of gene silencing where dsRNA is digested into small interfering RNA (siRNA) in the presence of enzymes. These siRNAs then target homologous mRNA sequences aided by the RNA-induced silencing complex (RISC). The mechanism of dsRNA uptake has been well studied and e...

Descripción completa

Detalles Bibliográficos
Autores principales: Nitnavare, Rahul B., Bhattacharya, Joorie, Singh, Satnam, Kour, Amardeep, Hawkesford, Malcolm J., Arora, Naveen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558349/
https://www.ncbi.nlm.nih.gov/pubmed/34733295
http://dx.doi.org/10.3389/fpls.2021.673576
_version_ 1784592539390574592
author Nitnavare, Rahul B.
Bhattacharya, Joorie
Singh, Satnam
Kour, Amardeep
Hawkesford, Malcolm J.
Arora, Naveen
author_facet Nitnavare, Rahul B.
Bhattacharya, Joorie
Singh, Satnam
Kour, Amardeep
Hawkesford, Malcolm J.
Arora, Naveen
author_sort Nitnavare, Rahul B.
collection PubMed
description RNA interference (RNAi) is a method of gene silencing where dsRNA is digested into small interfering RNA (siRNA) in the presence of enzymes. These siRNAs then target homologous mRNA sequences aided by the RNA-induced silencing complex (RISC). The mechanism of dsRNA uptake has been well studied and established across many living organisms including insects. In insects, RNAi is a novel and potential tool to develop future pest management means targeting various classes of insects including dipterans, coleopterans, hemipterans, lepidopterans, hymenopterans and isopterans. However, the extent of RNAi in individual class varies due to underlying mechanisms. The present review focuses on three major insect classes viz hemipterans, lepidopterans and coleopterans and the rationale behind this lies in the fact that studies pertaining to RNAi has been extensively performed in these groups. Additionally, these classes harbour major agriculturally important pest species which require due attention. Interestingly, all the three classes exhibit varying levels of RNAi efficiencies with the coleopterans exhibiting maximum response, while hemipterans are relatively inefficient. Lepidopterans on the other hand, show minimum response to RNAi. This has been attributed to many facts and few important being endosomal escape, high activity dsRNA-specific nucleases, and highly alkaline gut environment which renders the dsRNA unstable. Various methods have been established to ensure safe delivery of dsRNA into the biological system of the insect. The most common method for dsRNA administration is supplementing the diet of insects via spraying onto leaves and other commonly eaten parts of the plant. This method is environment-friendly and superior to the hazardous effects of pesticides. Another method involves submergence of root systems in dsRNA solutions and subsequent uptake by the phloem. Additionally, more recent techniques are nanoparticle- and Agrobacterium-mediated delivery systems. However, due to the novelty of these biotechnological methods and recalcitrant nature of certain crops, further optimization is required. This review emphasizes on RNAi developments in agriculturally important insect species and the major hurdles for efficient RNAi in these groups. The review also discusses in detail the development of new techniques to enhance RNAi efficiency using liposomes and nanoparticles, transplastomics, microbial-mediated delivery and chemical methods.
format Online
Article
Text
id pubmed-8558349
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-85583492021-11-02 Next Generation dsRNA-Based Insect Control: Success So Far and Challenges Nitnavare, Rahul B. Bhattacharya, Joorie Singh, Satnam Kour, Amardeep Hawkesford, Malcolm J. Arora, Naveen Front Plant Sci Plant Science RNA interference (RNAi) is a method of gene silencing where dsRNA is digested into small interfering RNA (siRNA) in the presence of enzymes. These siRNAs then target homologous mRNA sequences aided by the RNA-induced silencing complex (RISC). The mechanism of dsRNA uptake has been well studied and established across many living organisms including insects. In insects, RNAi is a novel and potential tool to develop future pest management means targeting various classes of insects including dipterans, coleopterans, hemipterans, lepidopterans, hymenopterans and isopterans. However, the extent of RNAi in individual class varies due to underlying mechanisms. The present review focuses on three major insect classes viz hemipterans, lepidopterans and coleopterans and the rationale behind this lies in the fact that studies pertaining to RNAi has been extensively performed in these groups. Additionally, these classes harbour major agriculturally important pest species which require due attention. Interestingly, all the three classes exhibit varying levels of RNAi efficiencies with the coleopterans exhibiting maximum response, while hemipterans are relatively inefficient. Lepidopterans on the other hand, show minimum response to RNAi. This has been attributed to many facts and few important being endosomal escape, high activity dsRNA-specific nucleases, and highly alkaline gut environment which renders the dsRNA unstable. Various methods have been established to ensure safe delivery of dsRNA into the biological system of the insect. The most common method for dsRNA administration is supplementing the diet of insects via spraying onto leaves and other commonly eaten parts of the plant. This method is environment-friendly and superior to the hazardous effects of pesticides. Another method involves submergence of root systems in dsRNA solutions and subsequent uptake by the phloem. Additionally, more recent techniques are nanoparticle- and Agrobacterium-mediated delivery systems. However, due to the novelty of these biotechnological methods and recalcitrant nature of certain crops, further optimization is required. This review emphasizes on RNAi developments in agriculturally important insect species and the major hurdles for efficient RNAi in these groups. The review also discusses in detail the development of new techniques to enhance RNAi efficiency using liposomes and nanoparticles, transplastomics, microbial-mediated delivery and chemical methods. Frontiers Media S.A. 2021-10-18 /pmc/articles/PMC8558349/ /pubmed/34733295 http://dx.doi.org/10.3389/fpls.2021.673576 Text en Copyright © 2021 Nitnavare, Bhattacharya, Singh, Kour, Hawkesford and Arora. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Nitnavare, Rahul B.
Bhattacharya, Joorie
Singh, Satnam
Kour, Amardeep
Hawkesford, Malcolm J.
Arora, Naveen
Next Generation dsRNA-Based Insect Control: Success So Far and Challenges
title Next Generation dsRNA-Based Insect Control: Success So Far and Challenges
title_full Next Generation dsRNA-Based Insect Control: Success So Far and Challenges
title_fullStr Next Generation dsRNA-Based Insect Control: Success So Far and Challenges
title_full_unstemmed Next Generation dsRNA-Based Insect Control: Success So Far and Challenges
title_short Next Generation dsRNA-Based Insect Control: Success So Far and Challenges
title_sort next generation dsrna-based insect control: success so far and challenges
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558349/
https://www.ncbi.nlm.nih.gov/pubmed/34733295
http://dx.doi.org/10.3389/fpls.2021.673576
work_keys_str_mv AT nitnavarerahulb nextgenerationdsrnabasedinsectcontrolsuccesssofarandchallenges
AT bhattacharyajoorie nextgenerationdsrnabasedinsectcontrolsuccesssofarandchallenges
AT singhsatnam nextgenerationdsrnabasedinsectcontrolsuccesssofarandchallenges
AT kouramardeep nextgenerationdsrnabasedinsectcontrolsuccesssofarandchallenges
AT hawkesfordmalcolmj nextgenerationdsrnabasedinsectcontrolsuccesssofarandchallenges
AT aroranaveen nextgenerationdsrnabasedinsectcontrolsuccesssofarandchallenges