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Infestation of Rice Striped Stem Borer ( Chilo suppressalis ) Larvae Induces Emission of Volatile Organic Compounds in Rice and Repels Female Adult Oviposition.

Chen ShenShan YuXin-Yang TanGuang-Hua LuoZhengping YuJiafei JuLei YangYuxuan HuangShuai LiRui JiChun-Qing ZhaoJichao Fang
Published in: International journal of molecular sciences (2024)
Plants regulate the biosynthesis and emission of metabolic compounds to manage herbivorous stresses. In this study, as a destructive pest, the pre-infestation of rice striped stem borer (SSB, Chilo suppressalis ) larvae on rice ( Oryza sativa ) reduced the subsequent SSB female adult oviposition preference. Widely targeted volatilomics and transcriptome sequencing were used to identify released volatile metabolic profiles and differentially expressed genes in SSB-infested and uninfested rice plants. SSB infestation significantly altered the accumulation of 71 volatile organic compounds (VOCs), including 13 terpenoids. A total of 7897 significantly differentially expressed genes were identified, and genes involved in the terpenoid and phenylpropanoid metabolic pathways were highly enriched. Correlation analysis revealed that DEGs in terpenoid metabolism-related pathways were likely involved in the regulation of VOC biosynthesis in SSB-infested rice plants. Furthermore, two terpenoids, (-)-carvone and cedrol, were selected to analyse the behaviour of SSB and predators. Y-tube olfactometer tests demonstrated that both (-)-carvone and cedrol could repel SSB adults at higher concentrations; (-)-carvone could simultaneously attract the natural enemies of SSB, Cotesia chilonis and Trichogramma japonicum , and cedrol could only attract T. japonicum at lower concentrations. These findings provide a better understanding of the response of rice plants to SSB and contribute to the development of new strategies to control herbivorous pests.
Keyphrases
  • single cell
  • aedes aegypti
  • genome wide
  • gene expression
  • rna seq
  • young adults
  • mass spectrometry
  • genome wide analysis