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Emerging experimental and bioinformatic approaches in RNA interference-based pest control research.

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Τίτλος: Emerging experimental and bioinformatic approaches in RNA interference-based pest control research.
Συγγραφείς: Cedden D; Department of Evolutionary Developmental Genetics, Göttingen Center for Molecular Biosciences, University of Göttingen, Johann-Friedrich-Blumenbach Institute, Göttingen, Germany.; Branch Bioresources, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Giessen, Germany.
Πηγή: Insect molecular biology [Insect Mol Biol] 2026 Aug; Vol. 35 (4), pp. 364-375. Date of Electronic Publication: 2026 Apr 07.
Τύπος έκδοσης: Journal Article; Review
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Blackwell Scientific For The Royal Entomological Society Country of Publication: England NLM ID: 9303579 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2583 (Electronic) Linking ISSN: 09621075 NLM ISO Abbreviation: Insect Mol Biol Subsets: MEDLINE
Imprint Name(s): Publication: Oxford : Blackwell Scientific For The Royal Entomological Society
Original Publication: Oxford : Published for the Royal Entomological Society by Blackwell Scientific Publications, c1992-
Ιατρικοί όροι (MeSH): Computational Biology*/methods , Insect Control*/methods , Insecta*/genetics , RNA Interference*, Animals ; RNA, Double-Stranded ; RNA, Small Interfering
Περίληψη: RNA interference (RNAi) has emerged as a promising strategy for species-specific and environmentally friendly pest control, offering an alternative to conventional chemical insecticides that are increasingly constrained by resistance development and ecological concerns. RNAi-based approaches involve oral delivery of double-stranded RNA (dsRNA), which is processed into RNA-induced silencing complex (RISC)-bound small interfering RNA (siRNA) to silence essential genes of pests. This review synthesizes recent advances in experimental and bioinformatic methodologies that are facilitating and enhancing RNAi research in insect pest management. Particular emphasis is placed on molecular validation techniques that move beyond phenotype-based bioassays, including RISC-bound small RNA sequencing to resolve dsRNA processing and guide strand selection, RNA degradomics to map siRNA-mediated transcript cleavage events and transcriptomic and proteomic profiling to characterize genome-wide responses and compensatory effects. In parallel, dsRNA visualization methods provide mechanistic insight into uptake, intracellular trafficking and degradation dynamics, clarifying barriers that distinguish responsive from recalcitrant species. Complementing these experimental developments, emerging computational platforms enable insect-optimized target selection, dsRNA design and environmentally informed off-target prediction. Together, these innovations support a transition toward more predictive and mechanistically grounded RNAi-based pest control applications. The integration of high-resolution molecular tools with specialized bioinformatic pipelines is expected to enhance efficacy, safety and reproducibility, advancing RNAi-based pest control toward practical and scalable agricultural deployment.
(© 2026 The Author(s). Insect Molecular Biology published by John Wiley & Sons Ltd on behalf of Royal Entomological Society.)
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Contributed Indexing: Keywords: RNAi; design; dsRNA; efficacy; methodology; off‐target; tool
Substance Nomenclature: 0 (RNA, Double-Stranded)
0 (RNA, Small Interfering)
Entry Date(s): Date Created: 20260407 Date Completed: 20260707 Latest Revision: 20260726
Update Code: 20260726
PubMed Central ID: PMC13340966
DOI: 10.1111/imb.70040
PMID: 41944781
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1365-2583
DOI:10.1111/imb.70040