Sediment and microbial culture samples
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1308324 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Xiangjiang River (Hunan, China) has been contaminated with heavy metal for several decades by surrounding factories. However, little is known about the influence of a gradient of heavy metal contamination on the diversity, structure of microbial functional gene in sediment. To deeply understand the impact of heavy metal contamination on microbial community, a comprehensive functional gene array (GeoChip 5.0) has been used to study the functional genes structure, composition, diversity and metabolic potential of microbial community from three heavy metal polluted sites of Xiangjiang River. Three groups of samples, A, B and C. Every group has 3 replicates.
2016-08-02 | E-GEOD-85064 | biostudies-arrayexpress
Project description:Xiangjiang River (Hunan, China) has been contaminated with heavy metal for several decades by surrounding factories. However, little is known about the influence of a gradient of heavy metal contamination on the diversity, structure of microbial functional gene in sediment. To deeply understand the impact of heavy metal contamination on microbial community, a comprehensive functional gene array (GeoChip 5.0) has been used to study the functional genes structure, composition, diversity and metabolic potential of microbial community from three heavy metal polluted sites of Xiangjiang River.
2016-08-02 | GSE85064 | GEO
Project description:Seagrass meadows are highly productive ecosystems that are considered hotspots for carbon sequestration. The decline of seagrass meadows of various species has been documented worldwide, including that of Cymodocea nodosa, a widespread seagrass in the Mediterranean Sea. To assess the influence of seagrass decline on the metabolic profile of sediment microbial communities, metaproteomes from two sites, one without vegetation and one with a declining Cymodocea nodosa meadow, were characterised at monthly intervals from July 2017 to October 2018. The differences in the metabolic profile observed between the vegetated and nonvegetated sediment before the decline were more pronounced in the deeper parts of the sediment and disappeared with the decay of the roots and rhizomes. During the decline, the protein richness and diversity of the metabolic profile of the microbial communities inhabiting the nonvegetated sediment became similar to those observed for the vegetated communities. Temporal shifts in the structure of the metabolic profile were only observed in the nonvegetated sediment and were also more pronounced in the deeper parts of the sediment. The assessment of the dynamics of proteins involved in the degradation of organic matter, such as ABC transporters, fermentation-mediating enzymes, and proteins involved in dissimilatory sulphate reduction, reflected the general dynamics of the metabolic profile. Overall, the metabolic profile of the microbial communities inhabiting the nonvegetated sediment was influenced by the decline of seagrass, with stronger shifts observed in the deeper parts of the sediment.
2025-08-04 | PXD054602 | Pride
Project description:riverine sediment samples Raw sequence reads
| PRJNA705809 | ENA
Project description:Nitrate-reducing iron(II)-oxidizing bacteria are widespread in the environment contribute to nitrate removal and influence the fate of the greenhouse gases nitrous oxide and carbon dioxide. The autotrophic growth of nitrate-reducing iron(II)-oxidizing bacteria is rarely investigated and poorly understood. The most prominent model system for this type of studies is enrichment culture KS, which originates from a freshwater sediment in Bremen, Germany. To gain insights in the metabolism of nitrate reduction coupled to iron(II) oxidation under in the absence of organic carbon and oxygen limited conditions, we performed metagenomic, metatranscriptomic and metaproteomic analyses of culture KS. Raw sequencing data of 16S rRNA amplicon sequencing, shotgun metagenomics (short reads: Illumina; long reads: Oxford Nanopore Technologies), metagenome assembly, raw sequencing data of shotgun metatranscriptomes (2 conditions, triplicates) can be found at SRA in https://www.ncbi.nlm.nih.gov/bioproject/PRJNA682552. This dataset contains proteomics data for 2 conditions (heterotrophic and autotrophic growth conditions) in triplicates.
2021-05-17 | PXD023186 | Pride
Project description:BTF microbial samples Raw sequence reads
| PRJNA1104566 | ENA
Project description:sediment samples Raw sequence reads in a canal
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Project description:water, biofilm, and sediment samples Raw sequence reads
| PRJNA378943 | ENA