Dataset Information

Viral infection induces expression of novel phased microRNAs from conserved cellular microRNA precursors.

ABSTRACT: RNA silencing, mediated by small RNAs including microRNAs (miRNAs) and small interfering RNAs (siRNAs), is a potent antiviral or antibacterial mechanism, besides regulating normal cellular gene expression critical for development and physiology. To gain insights into host small RNA metabolism under infections by different viruses, we used Solexa/Illumina deep sequencing to characterize the small RNA profiles of rice plants infected by two distinct viruses, Rice dwarf virus (RDV, dsRNA virus) and Rice stripe virus (RSV, a negative sense and ambisense RNA virus), respectively, as compared with those from non-infected plants. Our analyses showed that RSV infection enhanced the accumulation of some rice miRNA*s, but not their corresponding miRNAs, as well as accumulation of phased siRNAs from a particular precursor. Furthermore, RSV infection also induced the expression of novel miRNAs in a phased pattern from several conserved miRNA precursors. In comparison, no such changes in host small RNA expression was observed in RDV-infected rice plants. Significantly RSV infection elevated the expression levels of selective OsDCLs and OsAGOs, whereas RDV infection only affected the expression of certain OsRDRs. Our results provide a comparative analysis, via deep sequencing, of changes in the small RNA profiles and in the genes of RNA silencing machinery induced by different viruses in a natural and economically important crop host plant. They uncover new mechanisms and complexity of virus-host interactions that may have important implications for further studies on the evolution of cellular small RNA biogenesis that impact pathogen infection, pathogenesis, as well as organismal development.

SUBMITTER: Du P

PROVIDER: S-EPMC3161970 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:HIV infection of CD4(+) T cells induces a range of host transcriptional changes in mRNAs as well as microRNAs that may coordinate changes in mRNAs. To survey these dynamic changes, we applied next-generation sequencing, analyzing the small RNA fraction of HIV-infected cells at 5, 12, and 24 h postinfection (RNA-Seq). These time points afforded a view of the transcriptomic changes occurring both before and during viral replication. In the resulting small RNA-Seq data set, we detected a phased pattern of microRNA expression. Largely distinct sets of microRNAs were found to be suppressed at 5 and 12 h postinfection, and both sets of changes rebounded later in infection. A larger set of microRNA changes was observed at 24 h postinfection. When integrated with mRNA expression data, the small RNA-Seq data indicated a role for microRNAs in transcriptional regulation, T cell activation, and cell cycle during HIV infection. As a unique benefit of next-generation sequencing, we also detected candidate novel host microRNAs differentially expressed during infection, including one whose downregulation at 24 h postinfection may allow full replication of HIV to proceed. Collectively, our data provide a uniquely comprehensive view of the changes in host microRNAs induced by HIV during cellular infection. IMPORTANCE New sequencing technologies allow unprecedented views into changes occurring in virus-infected cells, including comprehensive and largely unbiased measurements of different types of RNA. In this study, we used next-generation sequencing to profile dynamic changes in cellular microRNAs occurring in HIV-infected cells. The sensitivity afforded by sequencing allowed us to detect changes in microRNA expression early in infection, before the onset of viral replication. A phased pattern of expression was evident among these microRNAs, and many that were initially suppressed were later overexpressed at the height of infection, providing unique signatures of infection. By integrating additional mRNA data with the microRNA data, we identified a role for microRNAs in transcriptional regulation during infection and specifically a network of microRNAs involved in the expression of a known HIV cofactor. Finally, as a distinct benefit of sequencing, we identified candidate nonannotated microRNAs, including one whose downregulation may allow HIV-1 replication to proceed fully.

Dataset Information

Viral infection induces expression of novel phased microRNAs from conserved cellular microRNA precursors.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets