Developing RNAi pesticides in the post genomic era: A review

RNA interference (RNAi) has emerged as a promising platform for next-generation pesticides, offering high target specificity and environmental safety. In the post-genomic era, rapid advances in insect genomics, delivery systems, and bioinformatics have significantly accelerated the development of RN...

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Veröffentlicht in:Advanced Agrochem
Hauptverfasser: Duanmu, Haonan, Guo, Fangyuan, Liu, Ying, He, Kang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.07.2025
Schlagworte:
Challenges
Pesticides
RNA interference
Challenges
RNA interference
Pesticides
ISSN:2773-2371, 2773-2371
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Abstract RNA interference (RNAi) has emerged as a promising platform for next-generation pesticides, offering high target specificity and environmental safety. In the post-genomic era, rapid advances in insect genomics, delivery systems, and bioinformatics have significantly accelerated the development of RNAi-based pest control strategies. This review summarizes current progress in RNAi mechanism elucidation, target gene selection, and delivery approaches including host-induced gene silencing (HIGS), spray-induced gene silencing (SIGS), and virus-induced gene silencing (VIGS). Key challenges—such as interspecies variability in RNAi efficiency, dsRNA degradation, and off-target effects—are discussed in detail. Machine learning (ML) and genome-wide screening play a critical role in optimizing siRNA design and reducing ecological risks. Commercial products such as Ledprona and MON87411 maize exemplify the practical potential of RNAi-based pesticides. Future success will depend on integrating comparative genomics, ML-based off-target prediction, and ecological risk assessment frameworks to ensure safety and sustainability in applications.
AbstractList RNA interference (RNAi) has emerged as a promising platform for next-generation pesticides, offering high target specificity and environmental safety. In the post-genomic era, rapid advances in insect genomics, delivery systems, and bioinformatics have significantly accelerated the development of RNAi-based pest control strategies. This review summarizes current progress in RNAi mechanism elucidation, target gene selection, and delivery approaches including host-induced gene silencing (HIGS), spray-induced gene silencing (SIGS), and virus-induced gene silencing (VIGS). Key challenges—such as interspecies variability in RNAi efficiency, dsRNA degradation, and off-target effects—are discussed in detail. Machine learning (ML) and genome-wide screening play a critical role in optimizing siRNA design and reducing ecological risks. Commercial products such as Ledprona and MON87411 maize exemplify the practical potential of RNAi-based pesticides. Future success will depend on integrating comparative genomics, ML-based off-target prediction, and ecological risk assessment frameworks to ensure safety and sustainability in applications.
Author Duanmu, Haonan
Liu, Ying
Guo, Fangyuan
He, Kang
Author_xml – sequence: 1
  givenname: Haonan
  orcidid: 0009-0005-2003-3971
  surname: Duanmu
  fullname: Duanmu, Haonan
  email: duanmuhaonan@zju.edu.cn
  organization: State Key Laboratory of Rice Biology and Breeding & Ministry of Agriculture, Ministry of Agriculture and Rural Affairs Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, nstitute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
– sequence: 2
  givenname: Fangyuan
  orcidid: 0009-0000-1067-4162
  surname: Guo
  fullname: Guo, Fangyuan
  email: guofy0130@zju.edu.cn
  organization: State Key Laboratory of Rice Biology and Breeding & Ministry of Agriculture, Ministry of Agriculture and Rural Affairs Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, nstitute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
– sequence: 3
  givenname: Ying
  orcidid: 0000-0002-4631-0915
  surname: Liu
  fullname: Liu, Ying
  email: liuying@yaas.org.cn
  organization: Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests of Yunnan Province, Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
– sequence: 4
  givenname: Kang
  orcidid: 0000-0002-7270-8118
  surname: He
  fullname: He, Kang
  email: hekang@zju.edu.cn
  organization: State Key Laboratory of Rice Biology and Breeding & Ministry of Agriculture, Ministry of Agriculture and Rural Affairs Key Lab of Molecular Biology of Crop Pathogens and Insect Pests, nstitute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
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RNA interference
Pesticides
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Snippet RNA interference (RNAi) has emerged as a promising platform for next-generation pesticides, offering high target specificity and environmental safety. In the...
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SubjectTerms Challenges
Pesticides
RNA interference
Title Developing RNAi pesticides in the post genomic era: A review
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