Crassostrea ariakensis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA471949 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7288042_1.fastq.gz | Fastqsanger.gz | |||
| SRR7288042_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 2 of 2 |
Similar Datasets
Project description:Crassostrea ariakensis Genome sequencing
| PRJNA1094604 | ENA
Project description:Crassostrea ariakensis Raw sequence reads
| PRJNA832508 | ENA
Project description:ATAC-Seq and RNA-Seq data of Crassostrea ariakensis at different gonadal developmental stages
| PRJNA1057056 | ENA
Project description:Crassostrea ariakensis Transcriptome or Gene expression
| PRJNA513213 | ENA
Project description:Crassostrea ariakensis oysters are under review for introduction into the Chesapeake Bay. However, the human health implications of the introduction have not been fully addressed. This study evaluated rates of bioaccumulation, retention, and depuration of viruses by Crassostrea virginica and C. ariakensis when the two oyster species were maintained in separate tanks containing synthetic seawater of various salinities (8, 12, or 20 ppt). Oyster bioaccumulation tanks were seeded with 10(3) PFU/ml of hepatitis A virus (HAV), poliovirus, male-specific bacteriophage (MS2), and murine norovirus 1 (MNV-1) and 10(3) PCR units/ml of human norovirus (NoV). After 24 h, depuration commenced as oysters (n = 255) were placed in pathogen-free seawater under continuous filtration. Oysters (n = 6) were sampled weekly for 1 month from each tank. Viral RNA was recovered using a modified proteinase K, guanidine, and glassmilk method and analyzed by quantitative reverse transcription-PCR. The odds of C. ariakensis oysters harboring NoV, MNV-1, or HAV were statistically greater than the odds of C. virginica oysters harboring the same viruses (MNV-1 odds ratio [OR], 4.5; P = 0.01; NoV OR, 8.4; P < 0.001; HAV OR, 11.4; P < 0.001). Unlike C. virginica, C. ariakensis bioaccumulated and retained NoV, MNV-1, and HAV for 1 month at all salinities. Additionally, the odds of an oyster testing positive for NoV was 25.5 times greater (P < 0.001) when the oyster also tested positive for MNV-1. This research helps assess the threat of C. ariakensis as a vehicle for viral pathogens due to the consumption of raw oysters and validates the role for MNV-1 as a surrogate for NoV.
| S-EPMC2583511 | biostudies-literature
Project description:Deep sequencing of samples from different development stages, different adult organs and different stress treatments of Pacific oyster Crassostrea gigas Samples of 38 developmental stages from egg to juvenile were analyzed using single-end 49 bp RNA-seq. Two libraries mixed by RNAs from different developmental stages were analyzed using paired-end 90 bp RNA-seq. A total of 11 samples mainly from 8 organs (mantle, gill,adductor muscle, digestive gland, hemocyte, labial palp, female gonad and male gonad) were analyzed using paired-end 90 bp RNA-seq. At the same time, single-end 49 bp RNA-seq was conducted on 61 samples collected from adult oysters subjected to 9 types of environmental stressors (exposure to air, salinity, temperature, and exposure to metals).
2012-09-13 | E-GEOD-31012 | biostudies-arrayexpress
Project description:Low salinity is one of the main factors limiting the distribution and survival of marine species. As estuarine species, Crassostrea hongkongensis can live in relative low salinity. Through Illumina sequencing, we generated two transcriptomes with samples taken from gills of oysters exposed to the low salinity seawater versus the optimal seawater. By RNAseq technology, we found 13550 up-regulation genes and 9914 down-regulation genes that may regulate osmotic stress in C. hongkongensis. As blasted by GO annotation and KEGG pathway mapping, functional annotation of the genes recovered diverse biological functions and processes. The genes regulated significantly were dominated in structural molecule activity, intracellular,cytoplasm protein metabolism, biosynthesis,cell and transcription regulator activity according to GO annotation. The study aimed to compare the expression data of the two transcriptomes to provide some useful insights into signal transduction pathways in oysters and offer a number of candidate genes as potential markers of tolerance to hypoosmotic stress for oysters. In addition, the characterization of C. hongkongensis transcriptome will facilitate research into biological processes underlying physiological adaptations to hypoosmotic shock for marine invertebrates.
2014-10-01 | GSE51157 | GEO
Project description:Low salinity is one of the main factors limiting the distribution and survival of marine species. As estuarine species, Crassostrea hongkongensis can live in relative low salinity. Through Illumina sequencing, we generated two transcriptomes with samples taken from gills of oysters exposed to the low salinity seawater versus the optimal seawater. By RNAseq technology, we found 13550 up-regulation genes and 9914 down-regulation genes that may regulate osmotic stress in C. hongkongensis. As blasted by GO annotation and KEGG pathway mapping, functional annotation of the genes recovered diverse biological functions and processes. The genes regulated significantly were dominated in structural molecule activity, intracellular,cytoplasm protein metabolism, biosynthesis,cell and transcription regulator activity according to GO annotation. The study aimed to compare the expression data of the two transcriptomes to provide some useful insights into signal transduction pathways in oysters and offer a number of candidate genes as potential markers of tolerance to hypoosmotic stress for oysters. In addition, the characterization of C. hongkongensis transcriptome will facilitate research into biological processes underlying physiological adaptations to hypoosmotic shock for marine invertebrates. Twelve oysters were exposed in low salinity (8‰) seawater and in optimal salinity (25‰) seawater,respectively. Gills from six oysters in each condition were balanced mixed respectively. The transcriptomes of two samples were generated by deep sequencing, using Illumina HiSeq2000
2014-10-01 | E-GEOD-51157 | biostudies-arrayexpress