Advances in exogenous RNA delivery techniques for RNAi-mediated pest control.

Climate change imposes a great threat to world food security and encourages insect pest proliferation and spreading. Because of these challenges, identifying novel biotechnology pest management and its applications is inevitable. RNA interference (RNAi) is a gene regulatory process used for the maintenance and regulation of host defences against invading viruses. Nevertheless, it is widely used for the analysis of gene function. In recent years, the potential use of RNA interference (RNAi) as a tool for manipulating crop traits, as well as an alternative for crop protection, has undergone outstanding developments. In this review, we describe some genes involved in insect dsRNA uptake and discuss the reasons for varying RNAi response in insect pests, emphasizing the presence of nucleases and double-stranded RNA binding protein. We explore recent breakthroughs in innovative dsRNA delivery for efficient and effective knockdown in insect pests. Conclusively, topical delivery of dsRNA combined with a nanoparticle complex holds great potential for RNAi-mediated pest control.

Biotic stress triggered small RNA and RNAi defense response in plants.

The yield of crops is largely affected by different types of biotic stresses. To minimize the damage, crop plants adapted themselves to overcome the stress conditions through gene expression reprogramming at transcriptional and post-transcriptional levels. With a better knowledge of plants' responses in adverse environments, new methodologies and strategies have been applied to develop better stress-tolerant plants. In this manner, small RNAs (micro RNA and small-interfering RNA) are reported to play a central role to combat biotic stresses in plants. Depending upon the stress stimuli, these small RNAs can up or down regulate the genes expression, that indicate their potential role in overcoming the stress. These stress-induced small RNAs may reduce the expression of the target gene(s) that might negatively influence plants' response to the adverse conditions. Contrariwise, miRNA, a class of small RNA, can downregulate its expression to upregulate the expression of the target gene(s), which might positively aid to the stress adaptation. Along with this, benefits of RNA interference (RNAi) have also been stated in functional genomic research on insects, fungi and plant pathogens. RNAi is involved in the safe transport of dsRNA to the targeted mRNA(s) in the biotic stress-causing agents (for example fungi and insects) and saves the plant from damage, which is a safer approach compared to use of chemical pesticides. The current review summarizes the role of small RNAs and the use of RNAi to save the plants from biotic stress conditions.

Target prediction of candidate miRNAs from Oryza sativa for silencing the RYMV genome.

In order to maintain a consistent supply of rice globally, control of pathogens affecting crop production is a matter of due concern. Rice yellow mottle virus(RYMV) is known to cause a variety of symptoms which can result in reduced yield. Four ORFs can be identified in the genome of RYMV encoding for P1 (ORF1), Polyprotein (processed to produce VPg, protease, helicase, RdRp4) (ORF2), putative RdRp (ORF3) and capsid/coat protein (ORF4). This research was aimed at identifying genome encoded miRNAs of O. sativa that are targeted to the genome of Rice Yellow Mottle Virus (RYMV). A consensus of four miRNA target prediction algorithms (RNA22, miRanda, TargetFinder and psRNATarget) was computed, followed by calculation of free energies of miRNA-mRNA duplex formation. A phylogenetic tree was constructed to portray the evolutionary relationships between RYMV strains isolated to date. From the consensus of algorithms used, a total of seven O. sativa miRNAs were predicted and conservation of target site was finally evaluated. Predicted miRNAs can be further evaluated by experiments involving the testing of the success of in vitro gene silencing of RYMV genome; this can pave the way for development of RYMV resistant rice varieties in the future.

Identification and validation of potential reference gene for effective dsRNA knockdown analysis in Chilo partellus.

Chilo partellus is an invasive polyphagous pest that has not been effectively managed with chemical pesticides. To select potential dsRNAs for use in an alternate control strategy, it is crucial to identify and evaluate stable reference genes for knockdown expression studies. This study evaluates the expression stability of seven candidate reference genes in C. partellus larvae fed on crude bacterially-expressed dsRNAs and purified dsRNAs at different time intervals, as well as the developmental stages and sexes. The expression stabilities of the reference genes were evaluated with different software programmes, such as BestKeeper, NormFinder, deltaCt, geNorm, and RefFinder. The overall results rank ELF as the most stably expressed reference gene when larvae were fed with crude bacteria-induced dsRNAs and purified dsRNA. However, Tubulin and HSP70 were more stable under different developmental stages and sexes. The expression levels of larvae that were fed crude bacteria-induced dsRNAs of Chitinase and Acetylcholinesterase were normalized with the four most stable reference genes (ELF, HSP70, V-ATPase and Tubulin) and the least stable reference gene (18S and HSP70) based on the geNorm algorithm. The least stable reference gene showed inconsistent knockdown expression, thereby confirming that the validation of a suitable reference gene is crucial to improve assay accuracy for dsRNA-targeted gene selection in C. partellus.