Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Soil bacterial community in the grassland of Northern China in 2018

ABSTRACT: Soil bacterial community in the grassland of Northern China in 2018 Raw sequence reads

PROVIDER: PRJNA724862 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Soil fungal community in the grassland of Northern China in 2018

Project description:Soil fungal community in the grassland of Northern China in 2018 Raw sequence reads

| PRJNA724863 | ENA

Soil bacterial community in the grassland of Northern China in 2019 Raw sequence reads

Project description:Soil bacterial community in the grassland of Northern China in 2019

| PRJNA752450 | ENA

Soil fungal community in the grassland of Northern China in 2019

Project description:Soil fungal community in the grassland of Northern China in 2019 Raw sequence reads

| PRJNA752451 | ENA

soil fungal community in Stipa Baicalensis Steppe of northern China

Project description:soil fungal community in Stipa Baicalensis Steppe of northern China Metagenome

| PRJNA489788 | ENA

farming pastoral ecotone of northern China

Project description:farming pastoral ecotone of northern China Raw sequence reads

| PRJNA694724 | ENA

The diversity of diazotrophs in grassland of China

Project description:The diversity of diazotrophs in grassland of China

| PRJEB18654 | ENA

The Taxonomic and Metabolic Potential Susceptibility of Microbial Community to Aeolian Grassland Soil Erosion and Deposition

Project description:Aeolian soil erosion, exacerbated by anthropogenic perturbations, has become one of the most alarming processes of land degradation and desertification. By contrast, dust deposition might confer a potential fertilization effect. To examine how they affect topsoil microbial community, we conducted a study GeoChip techniques in a semiarid grassland of Inner Mongolia, China. We found that microbial communities were significantly (P<0.039) altered and most of microbial functional genes associated with carbon, nitrogen, phosphorus and potassium cycling were decreased or remained unaltered in relative abundance by both erosion and deposition, which might be attributed to acceleration of organic matter mineralization by the breakdown of aggregates during dust transport and deposition. As a result, there were strong correlations between microbial carbon and nitrogen cycling genes. amyA genes encoding alpha-amylases were significantly (P=0.01) increased by soil deposition, reflecting changes of carbon profiles. Consistently, plant abundance, total nitrogen and total organic carbon were correlated with functional gene composition, revealing the importance of environmental nutrients to soil microbial function potentials. Collectively, our results identified microbial indicator species and functional genes of aeolian soil transfer, and demonstrated that functional genes had higher susceptibility to environmental nutrients than taxonomy. Given the ecological importance of aeolian soil transfer, knowledge gained here are crucial for assessing microbe-mediated nutrient cyclings and human health hazard. The experimental sites comprised of three treatments of control, soil erosion and deposition, with 5 replicates of each treatment.

2015-03-28 | E-GEOD-67347 | biostudies-arrayexpress

The Taxonomic and Metabolic Potential Susceptibility of Microbial Community to Aeolian Grassland Soil Erosion and Deposition

2015-03-28 | GSE67347 | GEO

Gut microbiome of T2D from northern China

Project description:Implication of the gut microbiome composition of type 2 diabetic patients from northern China

| PRJEB25715 | ENA

The microbial functional diversity in response to altered precipitation on Tibet Plateau as characterized by GeoChip

Project description:Global warming substantially changes precipitation patterns in the Tibetan plateau, with projection of increased precipitation in southern and northern Tibet but decreased precipitation in the center. Understanding mechanisms of such changes in greenhouse gas emissions is of vital importance in predicting ecosystem feedbacks to climate changes. Nonetheless, it has been hampered by limited knowledge in soil microbial communities, one of the major drivers of greenhouse gas emission. Here, we report a field experiment simulating drying and wetting conditions in the Tibetan grassland. Our field site is located at the Haibei Alpine Grassland Ecosystem Research Station in the northeast of Tibet Plateau, China, and we employed GeoChip 5.0 180K to analyze microbial responses.

2016-05-28 | GSE82006 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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