4.5 Article

Dissecting protein domain variability in the core rna interference machinery of five insect orders

期刊

RNA BIOLOGY
卷 18, 期 11, 页码 1653-1681

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/15476286.2020.1861816

关键词

In silico analysis; structure-function relationship; dicer; drosha; pasha; argonaute; r2d2; loquacious; dsRBDs; protein evolution

资金

  1. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico
  2. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior
  3. Empresa Brasileira de Pesquisa Agropecuaria
  4. Fundacao de Apoio a Pesquisa do Distrito Federal
  5. Instituto Nacional de Ciencia e Tecnologia PlantStress Biotech
  6. Universidade Catolica de Brasilia
  7. Universidade de Brasilia

向作者/读者索取更多资源

The study compared the structural variability of key protein domains in the RNAi machinery across different insect orders and identified four domains as the main contributors to protein variability. Additionally, it found that lepidopterans have evolved differently from other insect orders, possibly due to constant coevolution with plants and viruses.
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.

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