Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Microbial analysis under different remediation measures and incubation experiments

PROVIDER: PRJNA1097290 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR28644998_1.fastq.gz	Fastqsanger.gz
	SRR28644998_2.fastq.gz	Fastqsanger.gz
	SRR28644999_1.fastq.gz	Fastqsanger.gz
	SRR28644999_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Incubation of Neisseria gonorrhoeae 1291 with human polymorphonuclear leukocyte cells

Project description:These experiments examined the transcriptomic response of N. gonorrhoeae 1291 to incubation with human PMNs under three different timepoints, 10 minutes, 180 minutes and 360 minutes.

2020-01-14 | GSE143553 | GEO

Grassland ecosystem responses to elevated CO2 are contingent on nitrogen conditions

Project description:To study whether and how soil nitrogen conditions affect the ecological effects of long-term elevated CO2 on microbial community and soil ecoprocess, here we investigated soil microbial community in a grassland ecosystem subjected to ambient CO2 (aCO2, 368 ppm), elevated CO2 (eCO2, 560 ppm), ambient nitrogen deposition (aN) or elevated nitrogen deposition (eN) treatments for a decade. Under the aN condition, a majority of microbial function genes, as measured by GeoChip 4.0, were increased in relative abundance or remained unchanged by eCO2. Under the eN condition, most of functional genes associated with carbon, nitrogen and sulfur cycling, energy processes, organic remediation and stress responses were decreased or remained unchanged by eCO2, while genes associated with antibiotics and metal resistance were increased. The eCO2 effects on fungi and archaea were largely similar under both nitrogen conditions, but differed substantially for bacteria. Coupling of microbial carbon or nitrogen cycling genes, represented by positive percentage and density of gene interaction in association networks, was higher under the aN condition. In accordance, changes of soil CO2 flux, net N mineralization, ammonification and nitrification was higher under the aN condition. Collectively, these results demonstrated that eCO2 effects are contingent on nitrogen conditions, underscoring the difficulty toward predictive modeling of soil ecosystem and ecoprocesses under future climate scenarios and necessitating more detailed studies. Fourty eight samples were collected for four different carbon and nitrogen treatment levels (aCaN,eCaN,aCeN and eCeN) ; Twelve replicates in every elevation

2015-04-03 | E-GEOD-67531 | biostudies-arrayexpress

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.

2016-04-01 | GSE55293 | GEO

Project description:ACIDD ash incubation experiments

| PRJNA719165 | ENA

lake water metagenome

Project description:Methane incubation experiments Metagenome

| PRJNA295903 | ENA

Project description:Microbial community in hyporheic zone sediment incubation experiments

| PRJNA674948 | ENA

YN_Mariana_Trench

Project description:Datasets during DOES incubation under different HHP

| PRJNA1083741 | ENA

Project description:Metatranscriptomics during DOES incubation under different HHP