Dataset Information

Comprehensive analysis of host gene expression in Autographa californica nucleopolyhedrovirus-infected Spodoptera frugiperda cells

ABSTRACT: Autographa californica multicapsid nucleopolyhedrovirus (AcMNPV) is the best-studied baculovirus and most commonly used virus vector for baculovirus expression vector systems. The effect of AcMNPV infection on host cells is incompletely understood. A microarray based on Spodoptera frugiperda ESTs was used to investigate the impact of AcMNPV on host gene expression in cultured S. frugiperda, Sf21 cells. Most host genes were down-regulated over the time course of infection, although a small number were up-regulated. The most highly up-regulated genes encoded heat shock protein 70s and several poorly characterized proteins. Regulated genes with the highest score identified by functional annotation clustering included primarily products required for protein expression and trafficking in the ER and golgi. All were significantly down-regulated by approximately 12h post-infection. Microarray data were validated by qRT-PCR. This study provides the first comprehensive host transcriptome overview of Sf21 cells during AcMNPV infection.

ORGANISM(S): Spodoptera frugiperda

PROVIDER: GSE60739 | GEO | 2014/08/26

SECONDARY ACCESSION(S): PRJNA259384

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Over the past decades, Helicoverpa armigera nucleopolyhedrovirus (HearNPV) has been widely used for biocontrol of cotton bollworm, which is one of the most destructive pest insects in agriculture worldwide. However, the molecular mechanism underlying the interaction between HearNPV and host insects remains poorly understood. In this study, high throughput RNA-sequencing was integrated with label-free quantitative proteomics analysis to examine the dynamics of gene expression in the fat body of H. armigera larvae in response to challenge with HearNPV. RNA-sequencing-based transcriptomic analysis indicated that host gene expression was substantially altered, yielding 3,850 differentially expressed genes (DEGs), while no global transcriptional shut-off effects were observed in the fat body. Among the DEGs, 60 immunity-related genes were down-regulated after baculovirus infection, a finding that was consistent with the results of quantitative real-time RT-PCR (qRT-PCR). Gene ontology and functional classification demonstrated that the majority of down-regulated genes were enriched in gene cohorts involved in energy, carbohydrate, and amino acid metabolic pathways. Proteomics analysis identified differentially expressed proteins in the fat body, among which 76 were up-regulated, whereas 373 were significantly down-regulated upon infection. The down-regulated proteins are involved in metabolic pathways such as energy metabolism, carbohydrate metabolism (CM), and amino acid metabolism, in agreement with the RNA-seq data. Furthermore, correlation analysis suggested a strong association between the mRNA level and protein abundance in the H. armigera fat body. More importantly, the predicted gene interaction network indicated that a large subset of metabolic networks was significantly negatively regulated by viral infection, including CM-related enzymes such as aldolase, enolase, malate dehydrogenase and triose-phosphate isomerase. Taken together, transcriptomic combined with proteomic data elucidated that baculovirus established systemic infection of host larvae, and manipulated the host mainly by suppressing the host immune response and down-regulating metabolism to allow viral self-replication and proliferation. Therefore, this study provided important insights into the mechanism of host-baculovirus interaction.

Dataset Information

Comprehensive analysis of host gene expression in Autographa californica nucleopolyhedrovirus-infected Spodoptera frugiperda cells

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure