Soil
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA943452 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Acid soil 16S (soil drying and Fulvic acid addition)
| PRJNA943454 | ENA
Project description:This SuperSeries is composed of the following subset Series: GSE27548: cRNA hybridizations of 10 Spring annual accessions of Arabidopsis thaliana under well-watered and mild soil drying GSE27549: Genomic dna hybridizations of 10 Spring annual accessions of Arabidopsis thaliana GSE27550: cRNA hybridizations of 18 accessions of Arabidopsis thaliana under well-watered and mild soil drying GSE27551: Genomic dna hybridizations of 8 winter annual accessions of Arabidopsis thaliana Refer to individual Series
2012-03-09 | E-GEOD-27552 | biostudies-arrayexpress
Project description:These data provide a basis for exploration of gene expression differences between physiologically diverse accessions of Arabidopsis thaliana. Recent studies have documented remarkable genetic variation among Arabidopsis thaliana accessions collected from diverse habitats and across its geographical range. Of particular interest are accessions with putatively locally adapted phenotypes M-bM-^@M-^S i.e., accessions with attributes that are likely adaptive under the climatic or habitat conditions of their sites of origin. These genotypes are especially valuable as they may provide insight into the genetic basis of adaptive evolution as well as allow the discovery of genes of ecological importance. Therefore we studied the physiology, genome content and gene expression of 18 physiologically diverse accessions. The gene expression studies were conducted under two levels of soil moisture and accompanied by physiological measurements to characterize early responses to soil moisture deficit. The basic experimental design involves 18 accessions crossed with two environmental levels (well-watered soil and mild soil drying) and 3 biological replicates per accession/treatment combination.
2012-03-12 | E-GEOD-27550 | biostudies-arrayexpress
Project description:These data provide a basis for exploration of gene expression differences between physiologically diverse Spring annual accessions of Arabidopsis thaliana. Recent studies have documented remarkable genetic variation among Arabidopsis thaliana accessions collected from diverse habitats and across its geographical range. Of particular interest are accessions with putatively locally adapted phenotypes M-bM-^@M-^S i.e., accessions with attributes that are likely adaptive under the climatic or habitat conditions of their sites of origin. These genotypes are especially valuable as they may provide insight into the genetic basis of adaptive evolution as well as allow the discovery of genes of ecological importance. Therefore we studied the physiology, genome content and gene expression of 18 physiologically diverse accessions. The gene expression studies were conducted under two levels of soil moisture and accompanied by physiological measurements to characterize early responses to soil moisture deficit. The basic experimental design involves 10 accessions crossed with two environmental levels (well-watered soil and mild soil drying) and 3 biological replicates per accession/treatment combination.
2012-03-12 | E-GEOD-27548 | biostudies-arrayexpress
Project description:These data provide a basis for exploration of gene expression differences between physiologically extreme accessions of Arabidopsis thaliana. Recent studies have documented remarkable genetic variation among Arabidopsis thaliana accessions collected from diverse habitats and across its geographical range. Of particular interest are accessions with putatively locally adapted phenotypes â i.e., accessions with attributes that are likely adaptive under the climatic or habitat conditions of their sites of origin. These genotypes are especially valuable as they may provide insight into the genetic basis of adaptive evolution as well as allow the discovery of genes of ecological importance. Therefore we studied the physiology, genome content and gene expression of two physiologically extreme accessions (Tsu-1 from a wet environment in Tsushima, Japan and Kas-1 from a dry environment in Kashmir, India). The gene expression studies were conducted under two levels of soil moisture and accompanied by physiological measurements to characterize early responses to soil moisture deficit. Genomic hybridization experiments identified 42,503 single feature polymorphisms (SFP) between accessions, providing an initial screen for putative SNPs, indels, or changes in gene content. Microarray transcript profiling of leaf RNA identified a large number (5,996) of genes exhibiting robust constitutive differences in expression including many genes involved in general growth and development as well as abiotic stress pathways. Interestingly, mild soil drying resulted in only subtle physiological responses but resulted in gene expression changes in hundreds of transcripts, including 352 genes exhibiting differential responses between accessions. Our results highlight the value of genomic studies of natural accessions as well as identify a number of candidate genes for the observed constitutive and induced physiological differences between Tsu-1 and Kas-1. The basic experimental design involves two accessions (Tsu-1 and Kas-1) crossed with two environmental levels (well-watered soil and mild soil drying) and 3 biological replicates per accession/treatment combination (2 x 2 x 6 =24 arrays total)
2010-02-16 | E-GEOD-20339 | biostudies-arrayexpress
Project description:The present invention relates to methods for determining soil quality, and especially soil pollution, using the invertebrate soil organism Folsomia candida also designated as springtail. Specifically, the present invention relates to a method for determining soil quality comprising: contacting Folsomia Candida with a soil sample to be analysed during a time period of 1 to 5 days; isolating said soil contacted Folsomia Candida; extracting RNA from said isolated soil contacted Folsomia Candida; determing a gene expression profile based on said extracted RNA using microarray technology; comparing said gene expression profile with a reference gene expression profile; and determing soil quality based expression level differences between said gene expression profile and said control expression profile.
2014-07-19 | GSE59588 | GEO
Project description:The effects of two years' winter warming on the overall fungal functional gene structure in Alaskan tundra soil were studies by the GeoChip 4.2 Resuts showed that two years' winter warming changed the overall fungal functional gene structure in Alaskan tundra soil.
2019-03-07 | GSE127899 | GEO
Project description:Changes in soil properties (e.g. pH, organic matter content, granulometry) can influence chemical toxicity to organisms and act alone as stressors. Previous studies on Enchytraeus albidus showed that changes in soil properties caused effects on reproduction and avoidance behavior and also oxidative stress. In addition, results at the transcritptomic level indicated changes in gene expression profile due to soil properties changes. In this study, E. albidus was exposed to modified versions of the artificial standard OECD soil (different pH, OM and clay content) in different exposure times (2, 4 and 8 days). The gene expression profile was characterized using a class comparison statistical analysis. Results indicated that the transcriptional response was time dependent, with different genes being affected at different time points. Results also showed some genes (and biological functions) being affected in a soil specific way.
2011-09-07 | GSE27700 | GEO
Project description:Soil transplant serves as a proxy to simulate climate change in realistic climate regimes. Here, we assessed the effects of climate warming and cooling on soil microbial communities, which are key drivers in Earth’s biogeochemical cycles, four years after soil transplant over large transects from northern (N site) to central (NC site) and southern China (NS site) and vice versa. Four years after soil transplant, soil nitrogen components, microbial biomass, community phylogenetic and functional structures were altered. Microbial functional diversity, measured by a metagenomic tool named GeoChip, and phylogenetic diversity are increased with temperature, while microbial biomass were similar or decreased. Nevertheless, the effects of climate change was overridden by maize cropping, underscoring the need to disentangle them in research. Mantel tests and canonical correspondence analysis (CCA) demonstrated that vegetation, climatic factors (e.g., temperature and precipitation), soil nitrogen components and CO2 efflux were significantly correlated to the microbial community composition. Further investigation unveiled strong correlations between carbon cycling genes and CO2 efflux in bare soil but not cropped soil, and between nitrogen cycling genes and nitrification, which provides mechanistic understanding of these microbe-mediated processes and empowers an interesting possibility of incorporating bacterial gene abundance in greenhouse gas emission modeling.
2013-10-30 | GSE51592 | GEO