Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Microbial community in oil sands tailings following capping and native boreal community plantation

PROVIDER: PRJNA894999 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22064700_1.fastq.gz	Fastqsanger.gz
	SRR22064700_2.fastq.gz	Fastqsanger.gz
	SRR22064800_1.fastq.gz	Fastqsanger.gz
	SRR22064800_2.fastq.gz	Fastqsanger.gz
	SRR22064701_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 336

Similar Datasets

Project description:Microbial community of oil sands tailings pond/end-pit lake

| PRJNA846771 | ENA

SARST analysis of arctic soil samples

Project description:Analysis of microbial community composition in arctic tundra and boreal forest soils using serial analysis of ribosomal sequence tags (SARST). Keywords: other

2004-01-12 | GSE949 | GEO

Project description:16S rRNA community analysis of oil sands tailings ponds

| PRJNA432217 | ENA

Project description:Hydrocarbon biodegradation in oil sands tailings

| PRJNA1041373 | ENA

Project description:Effect of pressure on microbial communities in oil sands tailings

| PRJNA1148474 | ENA

Project description:Transcriptome analysis of Willow grown on oil sands tailings

| PRJNA762091 | ENA

Project description:Genome sequencing of microorganisms from oil sands tailings ponds

| PRJNA941309 | ENA

A metagenomic study revealing unexpectedly diverse functional groups in microbial communities of deep-ground oil

Project description:Samples of oil and production water were collected from five wells of the Qinghai Oilfield, China, and subjected to GeoChip hybridization experiments for microbial functional diversity profiling. Unexpectedly, a remarkable microbial diversity in oil samples, which was higher than that in the corresponding water samples, was observed, thus challenging previously believed assumptions about the microbial diversity in this ecosystem. Hierarchical clustering separated oil and water samples, thereby indicating distinct functional structures in the samples. Genes involved in the degradation of hydrocarbons, organic remediation, stress response, and carbon cycling were significantly abundant in crude oil, which is consistent with their important roles in residing in oil. Association analysis with environmental variables suggested that oil components comprising aromatic hydrocarbons, aliphatic hydrocarbons, and a polar fraction with nitrogen-, sulfur-, and oxygen-containing compounds were mainly influential on the structure of the microbial community. Furthermore, a comparison of microbial communities in oil samples indicated that the structures were depth/temperature-dependent. To our knowledge, this is the first thorough study to profile microbial functional diversity in crude oil samples. From the Qinghai Oilfield located in the Tibetan Plateau, northwest China, oil production mixtures were taken from four oil production wells (No. 813, 516, 48 and 27) and one injection well (No. 517) in the Yue-II block. The floating oil and water phases of the production mixtures were separated overnight by gravitational separation. Subsequently, the microbial community and the characteristics of the water solution (W813, W516, W48, and W27) and floating crude oil (O813, O516, O48, and O27) samples were analyzed. A similar analysis was performed with the injection water solution (W517).

2016-04-01 | E-GEOD-55293 | biostudies-arrayexpress

Project description:Characterization of Novel Pseudomonas Isolates from Oil Sands Tailings Ponds

| PRJNA740245 | ENA

industrial waste metagenome

Project description:Study of microbial diversity in an oil sands composite tailings deposit with depth

| PRJNA301758 | ENA