{"title":"Recent advances in understanding of the mechanisms of RNA interference in insects.","authors":"Jinmo Koo, Subba Reddy Palli","doi":"10.1111/imb.12941","DOIUrl":null,"url":null,"abstract":"<p><p>We highlight the recent 5 years of research that contributed to our understanding of the mechanisms of RNA interference (RNAi) in insects. Since its first discovery, RNAi has contributed enormously as a reverse genetic tool for functional genomic studies. RNAi is also being used in therapeutics, as well as agricultural crop and livestock production and protection. Yet, for the wider application of RNAi, improvement of its potency and delivery technologies is needed. A mechanistic understanding of every step of RNAi, from cellular uptake of RNAi trigger molecules to targeted mRNA degradation, is key for developing an efficient strategy to improve RNAi technology. Insects provide an excellent model for studying the mechanism of RNAi due to species-specific variations in RNAi efficiency. This allows us to perform comparative studies in insect species with different RNAi sensitivity. Understanding the mechanisms of RNAi in different insects can lead to the development of better strategies to improve RNAi and its application to manage agriculturally and medically important insects.</p>","PeriodicalId":13526,"journal":{"name":"Insect Molecular Biology","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Insect Molecular Biology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1111/imb.12941","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
We highlight the recent 5 years of research that contributed to our understanding of the mechanisms of RNA interference (RNAi) in insects. Since its first discovery, RNAi has contributed enormously as a reverse genetic tool for functional genomic studies. RNAi is also being used in therapeutics, as well as agricultural crop and livestock production and protection. Yet, for the wider application of RNAi, improvement of its potency and delivery technologies is needed. A mechanistic understanding of every step of RNAi, from cellular uptake of RNAi trigger molecules to targeted mRNA degradation, is key for developing an efficient strategy to improve RNAi technology. Insects provide an excellent model for studying the mechanism of RNAi due to species-specific variations in RNAi efficiency. This allows us to perform comparative studies in insect species with different RNAi sensitivity. Understanding the mechanisms of RNAi in different insects can lead to the development of better strategies to improve RNAi and its application to manage agriculturally and medically important insects.
期刊介绍:
Insect Molecular Biology has been dedicated to providing researchers with the opportunity to publish high quality original research on topics broadly related to insect molecular biology since 1992. IMB is particularly interested in publishing research in insect genomics/genes and proteomics/proteins.
This includes research related to:
• insect gene structure
• control of gene expression
• localisation and function/activity of proteins
• interactions of proteins and ligands/substrates
• effect of mutations on gene/protein function
• evolution of insect genes/genomes, especially where principles relevant to insects in general are established
• molecular population genetics where data are used to identify genes (or regions of genomes) involved in specific adaptations
• gene mapping using molecular tools
• molecular interactions of insects with microorganisms including Wolbachia, symbionts and viruses or other pathogens transmitted by insects
Papers can include large data sets e.g.from micro-array or proteomic experiments or analyses of genome sequences done in silico (subject to the data being placed in the context of hypothesis testing).