Project description:A spectrum dataset with 329 tree leaf samples and a blank control file from Yunnan Province, Southwest China. Collection and extraction was completed in Yang Jie Group
Project description:This SuperSeries is composed of the following subset Series: GSE16775: Effect of HdIV or MdBV injection on the Spodoptera frugiperda hemocyte transcriptome GSE16776: Effect of HdIV or MdBV injection on the Spodoptera frugiperda fat body transcriptome Refer to individual Series
Project description:Small nucleolar RNAs (snoRNA) function in guiding 2'-O-methylation and pseudouridylation of ribosomal RNAs. But we found that knock down of a C/D box snoRNA, Bm-15, can induce apoptosis of insect Spodoptera frugiperda Sf9 cells. For the genome sequence of Spodoptera frugiperda is incomplete, here with the de novo sequencing method, transcriptome of Spodoptera frugiperda cell line Sf9 were sequenced after being transfected with overexpression vector and repression probes of snoRNA Bm-15. Results showed that 21 apoptosis-related genes were up-regulated upon Bm-15 inhibition and down-regulated with Bm-15 overexpression.
Project description:We report the application of whole transcriptome sequencing technology for high-throughput profiling of coding and non-coding RNAs associated with Spodoptera frugiperda feeding in Zea mays. 4,366 mRNAs and 233 lncRNAs were differentially expressed during Spodoptera frugiperda feeding in Zea mays. Our data contribute to the understanding of the function of coding and non-coding RNAs in the regulation of plant-insect interactions.
Project description:A spectrum dataset with 329 tree leaf samples and a blank control file from Yunnan Province, Southwest China. Collection and extraction was completed in Yang Jie Group
Project description:Spodoptera frugiperda is the world’s major agricultural pests, and has the distinctive features of high fecundity, strong migratory capacity and high resistance to most insecticides. At present, the control of S. frugiperda in China relies mainly on the spraying of chemical insecticides. MicroRNAs (miRNAs) are a class of small, single-stranded, non-coding RNAs, and play crucial regulatory roles in various physiological processes, including the insecticide resistance in insects. However, little is known about the regulatory roles of miRNAs on the resistance of S. frugiperda to insecticides. In the present research, the miRNAs that were differentially expressed after cyantraniliprole, spinetoram, emamectin benzoate and tetraniliprole treatment were analyzed by RNA-Seq. A total of 504 miRNAs were systematically identified from S. frugiperda, and 24, 22, 31 and 30 miRNAs were differentially expressed after treatments of cyantraniliprole, spinetoram, emamectin benzoate and tetraniliprole. GO and KEGG enrichment analyses were used to predict the function of differentially expressed miRNAs’ target genes. Importantly, ten miRNAs were significantly differentially expressed among the treatments of three insecticides. MiR-278-5p, miR-13b-3p, miR-10485-5p and miR-10483-5p were significantly down-regulated among the treatments of three insecticides by RT-qPCR. Furthermore, overexpression of miR-278-5p, miR-13b-3p, miR-10485-5p and miR-10483-5p significantly increased the mortality of S. frugiperda to cyantraniliprole and emamectin benzoate. The mortality was significantly increased with spinetoram treatment after overexpression of miR-13b-3p, miR-10485-5p and miR-10483-5p. These results suggest that miRNAs, which are differentially expressed in response to insecticides, may play a key regulatory role in the insecticide resistance in S. frugiperda.
Project description:In this study, NanoString technology gene expression quantification platform was used to study the expression of toxin genes causing infections from Bacteria (Photorhabdus and Xenorhabdus), Nematode (H.indica, S.riobrave , S.carpocapsae) specific genes for detection and Immune related genes from the infected insects (Spodoptera frugiperda and Galleria mellonella). The study revealed the expression of different immune related genes from the infected insects (Spodoptera frugiperda and Galleria mellonella) and helped in understanding the trend of expression of gene in the samples from the healthy condition to the death stage. Variations in gene expression were seen as per the expectation.
Project description:Purpose: We analyzed the 3rd-instar Spodoptera frugiperda response after SfAV-1a infection. Specifically, we targeted three gene types in the infected host namely, mitochondrial, cytoskeleton and innate immunity genes.