Identification of transcriptome and fluralaner responsive genes in the common cutworm Spodoptera litura Fabricius, based on RNA-seq
文献类型: 外文期刊
第一作者: Jia, Zhong-Qiang
作者: Jia, Zhong-Qiang;Liu, Di;Peng, Ying-Chuan;Han, Zhao-Jun;Zhao, Chun-Qing;Tang, Tao;Peng, Ying-Chuan
作者机构:
关键词: Spodoptera litura; Fluralaner; Transcriptome; GABA receptor; Cytochrome P450 enzyme; Resistance; Agricultural pests
期刊名称:BMC GENOMICS ( 影响因子:3.969; 五年影响因子:4.478 )
ISSN: 1471-2164
年卷期: 2020 年 21 卷 1 期
页码:
收录情况: SCI
摘要: Background Fluralaner is a novel isoxazoline insecticide with a unique action site on the gamma-aminobutyric acid receptor (GABAR), shows excellent activity on agricultural pests including the common cutworm Spodoptera litura, and significantly influences the development and fecundity of S. litura at either lethal or sublethal doses. Herein, Illumina HiSeq Xten (IHX) platform was used to explore the transcriptome of S. litura and to identify genes responding to fluralaner exposure. Results A total of 16,572 genes, including 451 newly identified genes, were observed in the S. litura transcriptome and annotated according to the COG, GO, KEGG and NR databases. These genes included 156 detoxification enzyme genes [107 cytochrome P450 enzymes (P450s), 30 glutathione S-transferases (GSTs) and 19 carboxylesterases (CarEs)] and 24 insecticide-targeted genes [5 ionotropic GABARs, 1 glutamate-gated chloride channel (GluCl), 2 voltage-gated sodium channels (VGSCs), 13 nicotinic acetylcholine receptors (nAChRs), 2 acetylcholinesterases (AChEs) and 1 ryanodine receptor (RyR)]. There were 3275 and 2491 differentially expressed genes (DEGs) in S. litura treated with LC30 or LC50 concentrations of fluralaner, respectively. Among the DEGs, 20 related to detoxification [16 P450s, 1 GST and 3 CarEs] and 5 were growth-related genes (1 chitin and 4 juvenile hormone synthesis genes). For 26 randomly selected DEGs, real-time quantitative PCR (RT-qPCR) results showed that the relative expression levels of genes encoding several P450s, GSTs, heat shock protein (HSP) 68, vacuolar protein sorting-associated protein 13 (VPSAP13), sodium-coupled monocarboxylate transporter 1 (SCMT1), pupal cuticle protein (PCP), protein takeout (PT) and low density lipoprotein receptor adapter protein 1-B (LDLRAP1-B) were significantly up-regulated. Conversely, genes encoding esterase, sulfotransferase 1C4, proton-coupled folate transporter, chitinase 10, gelsolin-related protein of 125 kDa (GRP), fibroin heavy chain (FHC), fatty acid synthase and some P450s were significantly down-regulated in response to fluralaner. Conclusions The transcriptome in this study provides more effective resources for the further study of S. litura whilst the DEGs identified sheds further light on the molecular response to fluralaner.
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