Project description:Singapore grouper iridovirus (SGIV) is the major agent that causes severe iridovirus diseases in grouper maricluture. Based on the genomic information, a DNA microarray, containing probes corresponding to 162 putative SGIV open reading frames (ORFs) was constucted. The viral microarrays wereused to classify the majority of SGIV transcripts into three temporal kinetic classes (immediate-early, IE; early, E; late, L) during an in vitro infection by their dependence on de novo protein synthesis inhibitor and viral DNA replication. Keywords: drug response
Project description:Analysis of the secretome's composition after infection of Grouper Kidney cells by Grouper Iridovirus to reveal domain of GIV-VILPs that are found in secretome
Project description:We applied Solexa sequencing technology to identify Singapore grouper iridovirus (SGIV) encoded microRNAs during its infection. A small RNA library arising from SGIV infected grouper cells (GP) was constructed and sequenced. We recovered 6,802,977 usable reads, of which 34,400 reads represented the small RNA sequences encoded by SGIV. Among them, 16 novel SGIV encoded miRNAs were identified by a computational pipeline. Generally, these 16 miRNAs are dispersed throughout the SGIV genome, while three of them are located within open reading frame 057L (ORF057L) region. Meanwhile, We identified 138 conserved microRNA genes between grouper fish and zebrafish.
Project description:Singapore grouper iridovirus (SGIV) is the major agent that causes severe iridovirus diseases in grouper maricluture. Based on the genomic information, a DNA microarray, containing probes corresponding to 162 putative SGIV open reading frames (ORFs), was constructed to map the viral gene transcriptional profiles over the time course by establishing the models of SGIV-infected GS cells and SGIV-infected grouper. All the data from real-time RT-PCR, RT-PCR and dilution RT-PCR assays were confirmed with the findings of microarrays, which were clustered into groups with the similarity expression profiles by the Self-Organizing Maps (SOMs) approach. The microarray analysis showed that SGIV had big differential expression profiles in the special infected cells and organ and the viral DNA replication mechanisms were firstly prevented as an important strategy of the host defense during the natural course infection.Our studies firstly uncover the relative of a marine viral gene expression patterns between in vitro and in vivo infection, which provides a better understanding of SGIV transcription regulation and a greater degree shared with other iridoviruses on their repliaction and pathogenesis. Keywords: time course