RNA interference strategy for crop protection against insect pests.

2015 ◽  
pp. 162-172
Author(s):  
Y Sneha ◽  
M. V. Rajam
Keyword(s):  
Rna Interference ◽  
Insect Pests ◽  
Crop Protection

Adaptive Mechanisms of Insect Pests Against Plant Protease Inhibitors and Future Prospects Related to Crop Protection: A Review

2015 ◽  
Vol 22 (2) ◽  
pp. 149-163 ◽  
Author(s):  
Maria Macedo ◽  
Caio de Oliveira ◽  
Poliene Costa ◽  
Elaine Castelhano ◽  
Marcio Silva-Filho
Keyword(s):  
Protease Inhibitors ◽  
Insect Pests ◽  
Crop Protection ◽  
Future Prospects ◽  
Adaptive Mechanisms ◽  
Plant Protease

scholarly journals Recent Advances in Engineered Nanoparticles for RNAi-Mediated Crop Protection Against Insect Pests

2021 ◽  
Vol 3 ◽  
Author(s):  
Charlotte E. Pugsley ◽  
R. E. Isaac ◽  
Nicholas J. Warren ◽  
Olivier J. Cayre
Keyword(s):  
Nucleic Acid ◽  
Insect Pests ◽  
Research Effort ◽  
Insect Pest ◽  
Crop Protection ◽  
Mrna Degradation ◽  
Engineered Nanoparticles ◽  
Future Research ◽  
Therapeutic Applications ◽  
Rnai Response

Since the discovery of RNA interference (RNAi) in the nematode worm Caenorhabditis elegans in 1998 by Fire and Mello et al., strides have been made in exploiting RNAi for therapeutic applications and more recently for highly selective insect pest control. Although triggering mRNA degradation in insects through RNAi offers significant opportunities in crop protection, the application of environmental naked dsRNA is often ineffective in eliciting a RNAi response that results in pest lethality. There are many possible reasons for the failed or weak induction of RNAi, with predominant causes being the degradation of dsRNA in the formulated pesticide, in the field or in the insect once ingested, poor cuticular and oral uptake of the nucleic acid and sometimes the lack of an innate strong systemic RNAi response. Therefore, in the last 10 years significant research effort has focused on developing methods for the protection and delivery of environmental dsRNA to enable RNAi-induced insect control. This review focuses on the design and synthesis of vectors (vehicles that are capable of carrying and protecting dsRNA) that successfully enhance mRNA degradation via the RNAi machinery. The majority of solutions exploit the ability of charged polymers, both synthetic and natural, to complex with dsRNA, but alternative nanocarriers such as clay nanosheets and liposomal vesicles have also been developed. The various challenges of dsRNA delivery and the obstacles in the development of well-designed nanoparticles that act to protect the nucleic acid are highlighted. In addition, future research directions for improving the efficacy of RNA-mediated crop protection are anticipated with inspiration taken from polymeric architectures constructed for RNA-based therapeutic applications.

The economics of RNAi-based innovation: from the innovation landscape to consumer acceptance.

2021 ◽  
pp. 159-166
Author(s):  
Vera Ventura ◽  
Dario G. Frisio
Keyword(s):  
Rna Interference ◽  
Gene Silencing ◽  
Crop Protection ◽  
Consumer Perceptions ◽  
Market Potential ◽  
Consumer Acceptance ◽  
Innovative Technology ◽  
Sustainable Solutions

Abstract RNA interference (RNAi) is an innovative technology of gene silencing which offers great opportunities for the development of sustainable solutions for crop protection. This chapter discusses the market potential of RNAi innovation, the application of RNAi for biocontrol, and stakeholder and consumer perceptions of RNAi technologies.

scholarly journals Bacterium-Mediated RNA Interference: Potential Application in Plant Protection

Plants ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 572 ◽  
Author(s):  
Simon Goodfellow ◽  
Daai Zhang ◽  
Ming-Bo Wang ◽  
Ren Zhang
Keyword(s):  
Rna Interference ◽  
Potential Application ◽  
Plant Protection ◽  
Crop Protection ◽  
Environmentally Friendly ◽  
Agricultural Pests ◽  
Promising Tool ◽  
Current State ◽  
Potential Applications

RNAi has emerged as a promising tool for targeting agricultural pests and pathogens and could provide an environmentally friendly alternative to traditional means of control. However, the deployment of this technology is still limited by a lack of suitable exogenous- or externally applied delivery mechanisms. Numerous means of overcoming this limitation are being explored. One such method, bacterium-mediated RNA interference, or bmRNAi, has been explored in other systems and shows great potential for application to agriculture. Here, we review the current state of bmRNAi, examine the technical limitations and possible improvements, and discuss its potential applications in crop protection.

scholarly journals RNAi-Mediated Management of Whitefly Bemisia tabaci by Oral Delivery of Double-stranded RNAs

Proceedings ◽  
2019 ◽  
Vol 36 (1) ◽  
pp. 11
Author(s):  
Jain ◽  
Robinson ◽  
Mitter
Keyword(s):  
Rna Interference ◽  
Gene Silencing ◽  
Bemisia Tabaci ◽  
Oral Delivery ◽  
Target Genes ◽  
Insect Pests ◽  
Control Strategies ◽  
Plant Viruses ◽  
Potential Game ◽  
Viable Approach

The whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae) is a significant global pest of economically important vegetable, fibre, and ornamental crops. Whiteflies directly damage the plants by piercing and sucking essential nutrients, indirectly through honeydew secretion and by transmitting more than 200 plant viruses that cause millions of dollars in produce losses per year. Whitefly management is mostly reliant on the heavy use of chemical insecticides. However, this ultimately leads to increasing resistance development, detrimental effects on beneficial insects and biomagnification of ecologically harmful chemicals in the environment. Responding to consumer demands for more selective, less toxic, non-GM insect control strategies, RNA interference (RNAi) has emerged as a potential game-changing solution. The RNA interference (RNAi) is a homology-dependent mechanism of gene silencing that represents a feasible and sustainable technology for the management of insect pests. In the present study, twenty-two whitefly genes were selected based on their essential function in the insect and tested in artificial diet bioassays for mortality and gene silencing efficacy. The nine most effective dsRNA constructs showed moderate-to-high whitefly mortality as compared to negative controls six days post-feeding. qPCR analysis further demonstrated significant knockdown of target gene mRNA expression. Additionally, uptake and spread of fluorescently labelled dsRNA was evident beyond the midgut of the whitefly supporting the systemic spreading of RNAi effectors. Taken together, the oral delivery of dsRNA shows effective RNAi mediated gene silencing of target genes and offers a viable approach for the development of dsRNA biopesticides against hemipteran pest.

scholarly journals Epidemiology and forecasting of insect-pests and diseases for value-added agro-advisory

MAUSAM ◽  
2021 ◽  
Vol 67 (1) ◽  
pp. 267-276
Author(s):  
AMRENDER KUMAR ◽  
A. K. JAIN ◽  
B. K. BHATTACHARYA ◽  
VINOD KUMAR ◽  
A. K. MISHRA ◽  
...  
Keyword(s):  
Machine Learning ◽  
Insect Pests ◽  
Plant Protection ◽  
Crop Protection ◽  
Value Added ◽  
Accurate Estimation ◽  
Learning Approach ◽  
Pests And Diseases ◽  
Functional Relationships ◽  
Machine Learning Approach

Models are means to capture, condense and organize knowledge. These are expressions, which represent relationship between various components of a system. A well-tested weather-based model can be an effective scientific tool for forewarning insect-pests and diseases in advance so that timely plant protection measures could be taken up. Various types of techniques have been developed for the purpose. The simplest technique forms the class of thumb rules, which are based on experience. Though these do not have much scientific background but are extensively used to provide quick forewarning of the menace. Another tool in practice is regression model that represents relationship between two or more variables so that one variable can be predicted from the other (s). Linear and non-linear regression models have been widely used in studying relationship of insect-pests and diseases with time and weather variables (as such or in some transformed forms). With the advent of computers more sophisticated techniques such as simulation modelling and machine learning approach such as decision tree induction algorithms, genetic algorithms, neural networks, rough sets, etc. have been explored. A number of simulation models have been developed all over the world for quantifying effects of various factors including weather on agriculture.  These may provide a good forecast but require detailed data base, which may not be available. Machine learning approach has recently received some attention. As opposed to traditional model-based methods, machine learning approach is self adaptive methods in that there are a few a priori assumptions about the models for problem(s) under study. This technique learns more from examples and captures subtle functional relationships among the data even if the underlying relationships are unknown or hard to describe.  This modelling approach with ability to learn from experience is very useful for many practical problems provided enough data are available. Remotely sensed data can provide useful information relating to area under the crop and also the condition thereof. It has certain advantages over land use statistics due to multi-spectral, synoptic and repetitive coverage. An attempt has been made for accurate estimation of area affected by insect-pests and diseases in crops along with accurate assessment of damage due to the same are possible for providing compensation to farmers. In this study, an Integrated Decision Support System (IDSS) for Crop Protection Services is also discussed.  

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