ABSTRACT: Determination of tissue-specific expression profiles and heterologous hybridization by multiple Crassostrea spp. Keywords: Gill versus Hepatopancreas
Project description:Determination of tissue-specific expression profiles and heterologous hybridization by multiple Crassostrea spp. Keywords: Gill versus Hepatopancreas 3 replicate hybridizations, tissue pooled from three individuals
Project description:The aim of this study was to gain insight into the molecular mechanisms of intraspecies difference of copper accumulation in Crassostrea angulata. In this attempt, we have performed a comprehensive analysis of the transcriptome of oyster (gill and mantle). Digital gene expression (DGE) technology was applied to analyze the relationships between gene expression and differential Cu body burden.
Project description:The aim of this study was to gain insight into the molecular mechanisms of intraspecies difference of copper accumulation in Crassostrea angulata. In this attempt, we have performed a comprehensive analysis of the transcriptome of oyster (gill and mantle). Digital gene expression (DGE) technology was applied to analyze the relationships between gene expression and differential Cu body burden. Digital gene expression (DGE) technology was applied to analyze the relationships between gene expression and differential Cu body burden
Project description:Increasing utilization and human population density in the coastal zone is widely believed to place increasing stresses on the resident biota, but confirmation of this belief is somewhat lacking. While we have solid evidence that highly disturbed estuarine systems have dramatic changes in the resident biota (black and white if you will), we lack tools that distinguish the shades of grey. In part this lack of ability to distinguish shades of grey stems from the analytical tools that have been applied to studies of estuarine systems and perhaps more important is the insensitivity of the biological end points that we have used to assess these impacts. In this paper we will present data on the phenotypic adjustments as measured by transcriptomic signatures of a resilient organism (oysters) to land use practices in the surrounding watershed using advanced machine learning algorithms. We will demonstrate that such an approach can reveal subtle and meaningful shifts in oyster gene expression in response to land use. Further, the data shows that gill tissues are far more responsive and provide superior discrimination of land use classes than hepatopancreas and that transcript encoding proteins involved in energy productions, protein synthesis and basic metabolism are more robust indicators of land use than classic biomarkers such as metallothioneins, GST and cytochrome P450. Keywords: Comparative genomics, ecogenomics. Tissue differences, impacts of land use and contaminants on gene expression. Oysters were collected from 11 tidal creeks in Georgia, South Carolina and North Carolina at sites variously impacted by human development. A total of 267 individuals were examined for gene expression profiles in gill and hepatopancreas tissues for a total of 534 arrays. The data were filtered though standard tools and ultimately analyzed using advance machine learning techniques.
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).