ArticlePest management science2025
Superior target genes and pathways for RNAi-mediated pest control revealed by genome-wide analysis in the beetle Tribolium castaneum.
Article in Pest management science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- RNA degradomics and proteomics reveal the mechanism of dsProsβ1-mediated proteasome targeting in Psylliodes chrysocephala.Pest management science · 2026Article
- Identification of broadly expressed nervous system-related genes as effective RNAi targets in the brown marmorated stink bug, Halyomorpha halys.Pest management science · 2026Article
- Mixed Evidence that Dosage Sensitive Genes Drive Global Dosage Compensation in Flour Beetles.Genome biology and evolution · 2026Article
- Emerging experimental and bioinformatic approaches in RNA interference-based pest control research.Insect molecular biology · 2026Review
- Deeply conserved and expressed small ORFs in the model beetle Tribolium castaneum.BMC biology · 2026Article
- Efficacy of Select Gene Targets for the Management of Western Flower Thrips Through RNA Interference.Archives of insect biochemistry and physiology · 2026Article
- A model system test of trophic transmission of RNA interference effects using the milkweed bug Oncopeltus fasciatus (Hemiptera).Scientific reports · 2026Article
- Species-rich and genomically diverse: comparative genomics reveals how fusions, fissions, and sex chromosomes have shaped beetle evolution.bioRxiv : the preprint server for biology · 2026Article
- Insect-Resistant VarietyInsects · 2026Article
- Contact Unmodified Antisense DNA Biotechnology (CUADb)-Based Oligonucleotide Insecticides and RNA Biocontrols: Molecular Bases and Potential in Plant Protection.Current issues in molecular biology · 2026Review
- Improving RNAi in the fall armyworm,Frontiers in insect science · 2026Article
- RNAi-mediated gene silencing of a 26S proteasome subunit increases mortality of the Japanese beetle Popillia japonica.Pest management science · 2026Article
- RNA interference (RNAi) for insect pest management: understanding mechanisms, strategies, challenges and future prospects.Biologia futura · 2025Review
- Targeting the proteasome subunit PSMB5 by RNA interference induces proteasome dysfunction and mortality in the Colorado potato beetle (Leptinotarsa decemlineata).Scientific reports · 2025Article
- In the Spotlight-Established Researcher.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025Article
- Effective target genes for RNA interference-based management of the cabbage stem flea beetle.Insect molecular biology · 2025Article
- Recent advances in understanding of the mechanisms of RNA interference in insects.Insect molecular biology · 2025Review
- The quest for the best target genes for RNAi-mediated pest control.Insect molecular biology · 2025Review
- Chromosome-level genome assembly of stem borer Batocera rufomaculata using PacBio HiFi and Hi-C sequencing.Scientific data · 2025Article
- Parental RNA interference (pRNAi) in insects: mechanisms, applications, and challenges in pest management.Molecular biology reports · 2025Review
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Authors and funding
12 authors.
Funding
Abstract
backgroundAn increasing human population, the emergence of resistances against pesticides and their potential impact on the environment call for the development of new eco-friendly pest control strategies. RNA interference (RNAi)-based pesticides have emerged as a new option with the first products entering the market. Essentially, double-stranded RNAs targeting essential genes of pests are either expressed in the plants or sprayed on their surface. Upon feeding, pests mount an RNAi response and die. However, it has remained unclear whether RNAi-based insecticides should target the same pathways as classic pesticides or whether the different mode-of-action would favor other processes. Moreover, there is no consensus on the best genes to be targeted.
resultsWe performed a genome-wide screen in the red flour beetle to identify 905 RNAi target genes. Based on a validation screen and clustering, we identified the 192 most effective target genes in that species. The transfer to oral application in other beetle pests revealed a list of 34 superior target genes, which are an excellent starting point for application in other pests. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analyses of our genome-wide dataset revealed that genes with high efficacy belonged mainly to basic cellular processes such as gene expression and protein homeostasis - processes not targeted by classic insecticides.
conclusionOur work revealed the best target genes and target processes for RNAi-based pest control and we propose a procedure to transfer our short list of superior target genes to other pests. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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