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: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. 18-30 nt small RNAs from SGIV-infected GP cells were sequenced in one Solexa lane.
Project description:Transcriptome data of brain, pituitary and vertebrae from normal and vertebrae malformed Yunlong grouper
| PRJNA706930 | ENA
Project description:Comparison of the gut microbiota composition between asymptomatic and diseased yunlong grouper with nervous necrosis virus infection
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:microRNAs (miRNAs) are an evolutionarily conserved class of non-coding RNA molecules, which regulate kinds of biological processes at post-transcriptional level. Investigation of miRNAs expression profiles using high-throughput strategies is efficiently conductive to identify and characterize miRNAs. In this study, through Solexa deep sequencing approach, we obtained 115 orange spotted grouper (Epinephelus coioides) encoded miRNAs. Among them, 107 miRNAs shared high similarity with miRNAs encoded by zebrafish (Danio rerio) and other four vertebrates, indicating that cellular miRNAs are highly conserved between species.
Project description:Grouper is an important commercial maricultural fish, which suffer viral nervous necrosis (VNN) disease at the larval and juvenile stages, but the changes of transcriptomics and proteomics during viral infection remain unknown. In this study, we applied RNA-seq and label-free mass spectrum for the first time to depict the map of transcriptomics and proteomics in non-infected, susceptible-infected and tolerate-infected grouper in larval stage. Further analyses showed that the transcriptome and proteome change dramatically among 3 distinct groups, indicating that different immune response for infected and perststent grouper in larval stage. These valuable transcriptomics and proteomics datasets enable the investigation of molecular mechanism in nervous necrosis (VNN) virus infection, thus helps the further development of molecular breeding and marine fishery
Project description:Restriction site Associated DNA (RAD) tags are a genome-wide representation of every site of a particular restriction enzyme by short DNA tags. Most organisms segregate large numbers of DNA sequence polymorphisms that disrupt restriction sites, which allow RAD tags to serve as genetic markers spread at a high-density throughout the genome. Here, we demonstrate the applicability of RAD markers for both individual and bulk-segregant genotyping. First, we show that these markers can be identified and typed on pre-existing microarray formats. Second, we present a method that uses RAD marker DNA to rapidly produce a low-cost microarray genotyping resource that can be used to efficiently identify and type thousands of RAD markers. We demonstrate the utility of the former approach by using a tiling path array for the fruit fly to map a recombination breakpoint, and the latter approach by creating and utilizing an enriched RAD marker array for the threespine stickleback. The high number of RAD markers enabled localization of a previously identified region, as well as a second novel region also associated with the lateral plate phenotype. Taken together, our results demonstrate that RAD markers, and the method to develop a RAD marker microarray resource, allow high-throughput, high-resolution genotyping in both model and non-model systems. Keywords: microarray genotyping