Ontology highlight
ABSTRACT:
PROVIDER: PRJNA514616 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:soil bacterial diversity under different land use
| PRJNA354897 | ENA
Project description:Pseudomonas fluorescens SBW25 cultures were inoculated into the rhizospheres of barley seedlings of the Chevallier and Tipple varieties growing in axenic cultures. Bacterial cells were collected from the rhizosphere one and five days after inculation and RNA extracted from them. Culture used for inoculation (but not exposed to the rhizospheres) were used as control. The aim of the experiment was to determine the changes in gene expression of P. fluorescens SBW25 upon exposure to barley rhizosphere and also to determine if the rhizospehres of the two varieties of Barley had different effects on gene expression of P. fluorescens SBW25.
2023-05-15 | E-MTAB-12918 | biostudies-arrayexpress
Project description:Microbial responses in different land-use systems due to organic substrate addition
| PRJEB47777 | ENA
Project description:Bacterial diversity in Lamsialpuk cave, Mizoram
| PRJNA296769 | ENA
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.
2009-07-01 | GSE14793 | GEO
Project description:Chernozem aggregates in different land use conditions
| PRJNA252041 | ENA
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.
2009-07-01 | E-GEOD-14793 | biostudies-arrayexpress
Project description:Soil bacterial diversity and land use change in a mountain forest ecosystem
| PRJNA436019 | ENA