Sample number one
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB14910 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Metagenomic analysis of agricultural field soil sample
| PRJEB82421 | ENA
Project description:Soil metagenomic analysis of nanochitosan treated soil.
| PRJNA633319 | ENA
Project description:Background: The soil environment is responsible for sustaining most terrestrial plant life on earth, yet we know surprisingly little about the important functions carried out by diverse microbial communities in soil. Soil microbes that inhabit the channels of decaying root systems, the detritusphere, are likely to be essential for plant growth and health, as these channels are the preferred locations of new root growth. Understanding the microbial metagenome of the detritusphere and how it responds to agricultural management such as crop rotations and soil tillage will be vital for improving global food production. Methods: The rhizosphere soils of wheat and chickpea growing under + and - decaying root were collected for metagenomics sequencing. A gene catalogue was established by de novo assembling metagenomic sequencing. Genes abundance was compared between bulk soil and rhizosphere soils under different treatments. Conclusions: The study describes the diversity and functional capacity of a high-quality soil microbial metagenome. The results demonstrate the contribution of the microbiome from decaying root in determining the metagenome of developing root systems, which is fundamental to plant growth, since roots preferentially inhabit previous root channels. Modifications in root microbial function through soil management, can ultimately govern plant health, productivity and food security.
2020-03-06 | GSE146427 | GEO
Project description:We performed a comparison analysis of the Affymetrix arrays SNP6.0 genome wide array (SNP6.0) and cytogenetic 2.7M whole-genome array (Cyto2.7M) using nine human samples. We compared the two array types with respect to four parameters including the size and breakpoints of the alterations detected, the actual CN assigned to the CNVs as well as long stretches of loss of heterozygosity. Overall, we found very good consistency between the two types of array on all parameters compared, even in regions with very complex changes. This GEO submission contains the Cyto2.7M data. GEO submission, GSE37977 contains the SNP6.0 data.
2012-11-26 | GSE37978 | GEO
Project description:We performed a comparison analysis of the Affymetrix arrays SNP6.0 genome wide array (SNP6.0) and cytogenetic 2.7M whole-genome array (Cyto2.7M) using nine human samples. We compared the two array types with respect to four parameters including the size and breakpoints of the alterations detected, the actual CN assigned to the CNVs as well as long stretches of loss of heterozygosity. Overall, we found very good consistency between the two types of array on all parameters compared, even in regions with very complex changes. This GEO submission contains the SNP6.0 data. GEO submission, GSE37978 contains the Cyto2.7M data.
2012-11-26 | GSE37977 | 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