| Literature DB >> 33520584 |
Li Tian1,2, Xueke Gao3, Shulin Zhang2, Yuanchen Zhang2, Deying Ma1, Jinjie Cui2,3.
Abstract
Spodoptera litura is a major insect with a cosmopolitan distribution and strong resistance to multiple insecticides. Determining the molecular basis and key candidate genes of the insecticide resistance of S. litura may help in managing this insect. In this study, fifth-instar S. litura larvae were subjected to transcriptome analysis at 6, 12, 24, 48, and 72 h after feeding on an LC20 dose of avermectin. The result showed that genes responding to avermectin changed dynamically with different gene counts and resistance mechanisms at the fifth instar based on a metabolic pathway map. These responses included degrading the insecticide by a series of P450 and glutathione-S-transferase enzymes starting at the 12 h time point, with subsequent increases in the number of genes involved and shifts to TOLL and immune deficiency (IMD) pathways at 48 h after feeding the insecticide. Weighted correlation network analysis (WGCNA) determined a co-expression module related to the avermectin response at 12 and 24 h (r = 0.403, p = 0.0371; r = 0.436, p = 0.023), in which a hub gene (LOC111358940) related to metalloproteinase activity was identified. In addition, Analysis of the genes in the co-expression module further revealed that eight genes encoding UDP-glucuronosyltransferases were directly associated with insecticide response in S. litura. These results provide better understanding of the avermectin response mechanism of S. litura and may be useful in developing improved control strategies for this species. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s13205-021-02651-9) contains supplementary material, which is available to authorized users. © King Abdulaziz City for Science and Technology 2021.Entities:
Keywords: Gene co-expression network; Insecticide; Resistance; Spodoptera litura; Transcriptome
Year: 2021 PMID: 33520584 PMCID: PMC7840824 DOI: 10.1007/s13205-021-02651-9
Source DB: PubMed Journal: 3 Biotech ISSN: 2190-5738 Impact factor: 2.406