Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: The effect of organic management on soil bacterial community in Chinese tea plantation

PROVIDER: PRJNA655346 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12390500.fastq.gz	Fastqsanger.gz
	SRR12390501.fastq.gz	Fastqsanger.gz
	SRR12390502.fastq.gz	Fastqsanger.gz
	SRR12390503.fastq.gz	Fastqsanger.gz
	SRR12390504.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 30

Similar Datasets

Project description:The effect of tea yield capacity on soil bacterial community in Chinese tea plantation

| PRJNA750877 | ENA

Project description:The effect of standing ages on soil bacterial community in Chinese tea plantation

| PRJNA679995 | ENA

soil metagenome

Project description:Bacterial community in tea plantation soil

| PRJNA670895 | ENA

Project description:Bacterial community structure in an organic tea plantation

| PRJNA642253 | ENA

A study to investigate the effects of long-term organic and integrated fertilization on soil microbial community

Project description:Microbes play key roles in diverse biogeochemical processes including nutrient cycling. However, responses of soil microbial community at the functional gene level to long-term fertilization, especially integrated fertilization (chemical combined with organic fertilization) remain unclear. Here we used microarray-based GeoChip techniques to explore the shifts of soil microbial functional community in a nutrient-poor paddy soil with long-term (21 years).The long-term fertilization experiment site (set up in 1990) was located in Taoyuan agro-ecosystem research station (28°55’N, 111°27’E), Chinese Academy of Sciences, Hunan Province, China, with a double-cropped rice system. fertilization at various regimes.

2020-09-19 | GSE104014 | GEO

soil metagenome

Project description:Fungus community in tea plantation soil

| PRJNA678762 | ENA

Differences in major bacterial taxa in three high Arctic soils lead to different CO2 production rates

Project description:The melting of permafrost and its potential impact on greenhouse gas emissions is a major concern in the context of global warming. The fate of the carbon trapped in permafrost will largely depend on soil physico-chemical characteristics, among which are the quality and quantity of organic matter, pH and water content, and on microbial community composition. In this study, we used microarrays and real-time PCR (qPCR) targeting 16S rRNA genes to characterize the bacterial communities in three different soil types representative of various Arctic settings. The microbiological data were linked to soil physico-chemical characteristics and CO2 production rates. Microarray results indicated that soil characteristics, and especially the soil pH, were important parameters in structuring the bacterial communities at the genera/species levels. Shifts in community structure were also visible at the phyla/class levels, with the soil CO2 production rate being positively correlated to the relative abundance of the Alphaproteobacteria, Bacteroidetes, and Betaproteobacteria. These results indicate that CO2 production in Arctic soils does not only depend on the environmental conditions, but also on the presence of specific groups of bacteria that have the capacity to actively degrade soil carbon.

2011-01-01 | GSE24800 | GEO

Project description:Chinese fir plantation soil microbial community

| PRJNA634999 | ENA

Differences in major bacterial taxa in three high Arctic soils lead to different CO2 production rates

2011-01-01 | E-GEOD-24800 | biostudies-arrayexpress

Effect of land use and soil organic matter quality on the structure and function of microbial communities in pastoral soils: implications for disease suppression

Project description:Cropping soils vary in extent of natural suppression of soil-borne plant diseases. However, it is unknown whether similar variation occurs across pastoral agricultural systems. We examined soil microbial community properties known to be associated with disease suppression across 50 pastoral fields varying in management intensity. The composition and abundance of the disease-suppressive community were assessed from both taxonomic and functional perspectives.

2018-03-30 | GSE112489 | GEO

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