| Literature DB >> 33302789 |
Fabricio Barbosa Monteiro Arraes1,2, Diogo Martins-de-Sa3, Daniel D Noriega Vasquez2,4, Bruno Paes Melo2,5, Muhammad Faheem2,6, Leonardo Lima Pepino de Macedo2, Carolina Vianna Morgante2,7,8, Joao Alexandre R G Barbosa3, Roberto Coiti Togawa2, Valdeir Junio Vaz Moreira1,2,3, Etienne G J Danchin8,9, Maria Fatima Grossi-de-Sa2,4,8.
Abstract
RNA interference (RNAi)-mediated gene silencing can be used to control specific insect pest populations. Unfortunately, the variable efficiency in the knockdown levels of target genes has narrowed the applicability of this technology to a few species. Here, we examine the current state of knowledge regarding the miRNA (micro RNA) and siRNA (small interfering RNA) pathways in insects and investigate the structural variability at key protein domains of the RNAi machinery. Our goal was to correlate domain variability with mechanisms affecting the gene silencing efficiency. To this end, the protein domains of 168 insect species, encompassing the orders Coleoptera, Diptera, Hemiptera, Hymenoptera, and Lepidoptera, were analysed using our pipeline, which takes advantage of meticulous structure-based sequence alignments. We used phylogenetic inference and the evolutionary rate coefficient (K) to outline the variability across domain regions and surfaces. Our results show that four domains, namely dsrm, Helicase, PAZ and Ribonuclease III, are the main contributors of protein variability in the RNAi machinery across different insect orders. We discuss the potential roles of these domains in regulating RNAi-mediated gene silencing and the role of loop regions in fine-tuning RNAi efficiency. Additionally, we identified several order-specific singularities which indicate that lepidopterans have evolved differently from other insect orders, possibly due to constant coevolution with plants and viruses. In conclusion, our results highlight several variability hotspots that deserve further investigation in order to improve the application of RNAi technology in the control of insect pests.Entities:
Keywords: In silico analysis; argonaute; dicer; drosha; dsRBDs; loquacious; pasha; protein evolution; r2d2; structure-function relationship
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Year: 2020 PMID: 33302789 PMCID: PMC8582983 DOI: 10.1080/15476286.2020.1861816
Source DB: PubMed Journal: RNA Biol ISSN: 1547-6286 Impact factor: 4.652