Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: microbial community diversity of the South China Sea

PROVIDER: PRJNA526106 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR8703870_1.fastq.gz	Fastqsanger.gz
	SRR8703870_2.fastq.gz	Fastqsanger.gz
	SRR8703871_1.fastq.gz	Fastqsanger.gz
	SRR8703871_2.fastq.gz	Fastqsanger.gz
	SRR8703862_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 28

Similar Datasets

Metaproteomic analysis of viral concentrates reveals vertical shift of viral community and microbial metabolism in the ocean

Project description:Viral concentrates (VCs) contained both viral particles and cell-affiliated components. In this study, a shotgun metaproteomic approach was applied to characterize proteins in the VCs collected from chlorophyll maximum, mesopelagic (200 m) and bathypelagic (3000 m) waters in the South China Sea. Abundant viral proteins indicated the shift of viral community as depth. Whereas the remaining non-viral proteins suggested the diverse microbial metabolism distinct at different layers.

2022-01-19 | PXD020896 | Pride

Study of microbial functional structure in Xiangjiang River sediment

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

Study of microbial functional structure in Xiangjiang River sediment

2016-08-02 | GSE85064 | GEO

Metabolic traits of size-fractionated microbial communities at an oceanic deep chlorophyll maximum waters revealed via metaproteomics

Project description:we applied metaproteomic approach to capture proteins from three size-fractionated microbial communities at the DCM in the basin of the South China Sea. The deep recovery of proteomes from a marine DCM plankton assemblage provides the highest resolution of metabolic activities as well as microbial niche differentiation, revealing a spectrum of biological processes carrying out by microbes at DCM of the SCS.

2020-12-21 | PXD016812 | Pride

Project description:Microbial community of south china sea

| PRJNA809148 | ENA

Project description:Microbial community of south china sea

| PRJNA809432 | ENA

Illuminating the metabolic activities of deep-sea microbes and their functional adaptation to the harsh nutritional conditions with metaproteomics

Project description:In the present study, we studied microbial composition and metabolic activity in the bathypelagic zone of the South China Sea. 12 samples were collected and subjected to metaproteomic analysis. Our data provide a novel view of the roles of two lifestyle prokaryotes and their link in substrate utilization in dark ocean.

2024-06-16 | PXD026838 | Pride

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

Metaproteomic analysis of microbial community structure and function in the South China Sea

Project description:In the present study, we studied microbial composition and metabolic activity in the euphotic zone of the South China Sea. 8 samples were collected and subjected to metaproteomic analysis. Our results suggested that mixotrophic phototrophs-driven NDL carbon fixation along with phytoplankton-driven NRL carbon fixation determined primary production in the oligotrophic ocean’s euphotic zone.

2024-06-16 | PXD018513 | Pride

Project description:Microbial community diversity in sulfate reduction sediments of South China Sea

| PRJNA639381 | ENA