Soil sample
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA908122 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Different organic fertilizers effect on soil bacterial
| PRJNA1057033 | ENA
Project description:The spread of antibiotic resistance genes (ARG) into agricultural soils, products, and foods severely limits the use of organic fertilizers in agriculture. In this study, experimental land plots were fertilized, sown, and harvested for two consecutive agricultural cycles using either mineral or three types of organic fertilizers: sewage sludge, pig slurry, or composted organic fraction of municipal solid waste. The analysis of the relative abundances of more than 200,000 ASV (Amplicon Sequence Variants) allowed the identification of a small, but significant (<10%) overlap between soil and fertilizer microbiomes, particularly in soils sampled the same day of the harvest (post-harvest soils). Loads of clinically relevant ARG were significantly higher (up to 100 fold) in fertilized soils relative to the initial soil. The highest increases corresponded to post-harvest soils treated with organic fertilizers, and they correlated with the extend of the contribution of fertilizers to the soil microbiome. Edible products (lettuce and radish) showed low, but measurable loads of ARG (sul1 for lettuces and radish, tetM for lettuces). These loads were minimal in mineral fertilized soils, and strongly dependent on the type of fertilizer. We concluded that at least part of the observed increase on ARG loads in soils and foodstuffs were actual contributions from the fertilizer microbiomes. Thus, we propose that adequate waste management and good pharmacological and veterinarian practices may significantly reduce the potential health risk posed by the presence of ARG in agricultural soils and plant products.
2021-07-09 | GSE179685 | GEO
Project description:Microarray analysis was performed on a well-defined set of potato tuber samples grown under different, well-recorded environmental conditions. The data were analysed to assess the potential of transcriptomics to detect differences in gene expression as a result of these environmental conditions. Differences were found for both factors, both in PCA and in ANOVA analysis. Factorial design; 1 potato cultivar (Sante); 2 fertilizers (organic, conventional); 2 crop protection treatments (organic, conventional), 4 biological replicates, 16 samples. Raw data files: columns 1 - 11 is Cy3, 12 - 21 is Cy5
2012-01-31 | E-GEOD-27662 | biostudies-arrayexpress
Project description:Many trees form ectomycorrhizal symbiosis with fungi. During symbiosis, the tree roots supply sugar to the fungi in exchange for nitrogen, and this process is critical for the nitrogen and carbon cycles in forest ecosystems. However, the extents to which ectomycorrhizal fungi can liberate nitrogen and modify the soil organic matter and the mechanisms by which they do so remain unclear since they have lost many enzymes for litter decomposition that were present in their free-living, saprotrophic ancestors. Using time-series spectroscopy and transcriptomics, we examined the ability of two ectomycorrhizal fungi from two independently evolved ectomycorrhizal lineages to mobilize soil organic nitrogen. Both species oxidized the organic matter and accessed the organic nitrogen. The expression of those events was controlled by the availability of glucose and inorganic nitrogen. Despite those similarities, the decomposition mechanisms, including the type of genes involved as well as the patterns of their expression, differed markedly between the two species. Our results suggest that in agreement with their diverse evolutionary origins, ectomycorrhizal fungi use different decomposition mechanisms to access organic nitrogen entrapped in soil organic matter. The timing and magnitude of the expression of the decomposition activity can be controlled by the below-ground nitrogen quality and the above-ground carbon supply.
2018-11-30 | GSE110485 | GEO
Project description:Application of a genome-wide linkage method to identify genotype-phenotype relationships between distantly related strains of E. coli. Each hybridization compares transposon footprinting results from a linkage library under a selective condition with those under a nonselective condition.
2013-11-30 | GSE45421 | GEO
Project description:This database was aimed to clarify how untargeted soil metabolomics change under different nitrogen deposition conditions
2019-05-16 | MSV000083789 | GNPS
Project description:Soil microbial community diversity under Greenhouse conditions
| PRJNA427052 | ENA