Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Soil metagenome

ABSTRACT: Petroleum hydrocarbons contaminated soil metagenome (VDK)

PROVIDER: PRJNA714463 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13962282_1.fastq.gz	Fastqsanger.gz
	SRR13962282_2.fastq.gz	Fastqsanger.gz
	SRR13962283_1.fastq.gz	Fastqsanger.gz
	SRR13962283_2.fastq.gz	Fastqsanger.gz
	SRR13962284_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Petroleum hydrocarbons contaminated soil metagenome (VLK)

Project description:Petroleum hydrocarbons contaminated soil metagenome (VLK)

| PRJNA715307 | ENA

Petroleum hydrocarbons contaminated soil metagenome (VLN)

Project description:Petroleum hydrocarbons contaminated soil metagenome (VLN)

| PRJNA723445 | ENA

Petroleum hydrocarbons contaminated soil metagenome (VDN)

Project description:Petroleum hydrocarbons contaminated soil metagenome (VDN) Metagenome

| PRJNA714810 | ENA

Whole transcriptome analysis of Acinetobacter calcoaceticus Aca13 induced by n-hexadecane or naphthalene

Project description:Petroleum hydrocarbons are recalcitrant contaminants, which has caused most serious environmental problems. Acinetobacter calcoaceticus Aca13 was isolated from petroleum polluted soil for petroleum biodegradation. Hexadecane and naphthalene were used to incubate with Acinetobacter calcoaceticus Aca13. After incubation, the whole transcriptome was obtained from treated groups and control groups, and then used for RNA sequence and analysis. Obtained data in this project will help us understand the biodegradation mechanism of hexadecane and naphthalene, and will be helpful for the bioremediation of petroleum hydrocarbons.

2024-06-30 | GSE235642 | GEO

soil metagenome

Project description:Microbial Community in Petroleum Contaminated Soil Metagenome

| PRJNA257330 | ENA

soil metagenome

Project description:Petroleum-contaminated soil Metagenomic assembly

| PRJNA946365 | ENA

Rhizosphere and bulk soil contaminated with petroleum hydrocarbons

Project description:Rhizosphere and bulk soil contaminated with petroleum hydrocarbons. 16s amplicon seq.

| PRJNA642957 | ENA

lMoniliella spathulata an oil-degrading yeast, which promotes growth of barley in oil polluted soil

Project description:The yeast strain Moniliella spathulata SBUG-Y 2180 was isolated from oil-contaminated soil at the Tengiz oil field in the Atyrau region of Kazakhstan on the basis of its unique ability to use crude oil and its components as the sole carbon and energy source. This yeast used a large number of hydrocarbons as substrates (more than 150), including n-alkanes with chain lengths ranging from C10 to C32, monomethyl- and monoethyl-substituted alkanes (C9 – C23), n-alkylcyclo alkanes with alkyl chain lengths from 3 to 24 carbon atoms as well as substituted monoaromatic and diaromatic hydrocarbons. Metabolism of this huge range of hydrocarbon substrates produced a very large number of aliphatic, alicyclic and aromatic acids. 51 of these were identified by GC/MS analyses. This is the first report of the degradation and of the formation of such a large number of compounds by a yeast. Inoculation of barley seeds with M. spathulata SBUG-Y 2180 had a positive effect on shoot and root development of plants grown in oil-contaminated sand, pointing towards potential applications of the yeast in bioremediation of polluted soils.

2021-02-15 | PXD022543 | Pride

Petroleum-Contaminated Soil

Project description:Petroleum-Contaminated Soil Metagenomic assembly

| PRJNA722157 | ENA

Microarray analysis of high Arctic soil bacterial response to hydrocarbon pollution and bioremediation: genomic DNA

Project description:High Arctic soils have low nutrient availability, low moisture content and very low temperatures and, as such, they pose a particular problem in terms of hydrocarbon bioremediation. An in-depth knowledge of the microbiology involved in this process is likely to be crucial to understand and optimize the factors most influencing bioremediation. Here, we compared two distinct large-scale field bioremediation experiments, located at Alert (ex situ approach) and Eureka (in situ approach), in the Canadian high Arctic. Bacterial community structure and function were assessed using microarrays targeting the 16S rRNA genes of bacteria found in cold environments and hydrocarbon degradation genes as well as reverse-transcriptase real-time PCR targeting key functional genes. Results indicated a large difference between sampling sites in terms of both soil microbiology and decontamination rates. A rapid reorganization of the bacterial community structure and functional potential as well as rapid increases in the expression of alkane monooxygenases and polyaromatic hydrocarbon ring-hydroxylating-dioxygenases were observed one month after the bioremediation treatment commenced in the Alert soils. In contrast, no clear changes in community structure were observed in Eureka soils, while key gene expression increased after a relatively long lag period (1 year). Such discrepancies are likely caused by differences in bioremediation treatments (i.e. ex situ vs. in situ), weathering of the hydrocarbons, indigenous microbial communities, and environmental factors such as soil humidity and temperature. In addition, this study demonstrates the value of molecular tools for the monitoring of polar bacteria and their associated functions during bioremediation. 38 soil samples from two high arctic locations that were contaminated-treated, contaminated or not contaminated followed for up to 4 years

2010-05-15 | E-GEOD-17517 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data