Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Bacterial community changing

PROVIDER: PRJNA637798 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11942845.fastq.gz	Fastqsanger.gz
	SRR11942846.fastq.gz	Fastqsanger.gz
	SRR11942847.fastq.gz	Fastqsanger.gz
	SRR11942848.fastq.gz	Fastqsanger.gz
	SRR11942849.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 54

Similar Datasets

Project description:Bacterial community changing during poultry manure composting process

| PRJNA487972 | ENA

Spatial transcriptome uncovers rich coordination of metabolism and signaling in bacterial community (data 2)

Project description:Spatial transcriptome uncovers rich coordination of metabolism and signaling in bacterial community (data 2)

2023-03-01 | GSE213531 | GEO

Transcriptome analysis Arabidopsis Col-0 plants grown in presence of SynComCol-0, SynCommfec and under axenic condition in Gnotopot growth system

Project description:We performed RNA-Seq based gene expression analysis of Arabidopsis Col-0 plants grown in presence of SynComCol-0 (eubiotic bacterial community), SynCommfec (dysbiotic bacterial community) and Axenic conditions in GnotoPot plant gnotobiotic growth system. SynCom preparation was done by mixing equal ratio of the each strain measured based on optical density of (OD600) in 10 mM MgCl2 and adjusting to the final combined OD600 of 0.04. Plants were grow in GnotoPots as described in (Chen et al, Nature 2020). We identified genes differentially enriched in response to presence of eubiotic and dysbiotic bacterial communities. Our results suggested that in presence of dysbiotic community there is over abundance of gene expression for immunity/defense-related genes in SynCommfec compared SynComCol-0 colonized plants.

2023-07-19 | GSE218962 | GEO

C. elegans genomic response to Konza Prairie Soil bacterial environment

Project description:Here we have compared adult wildtype (N2) C. elegans gene expression when grown on different bacterial environments/fod sources in an effort to model naturally occuring nematode-bacteria interactions at the Konza Prairie. We hypothesize that human-induced changes to natural environments, such as the addition of nitrogen fertalizer, have effects on the bacterial community in soils and this drives downstream changes in the structure on soil bacterial-feeding nematode community structure. Here we have used transcriptional profiling to identify candidate genes involved in the interaction of nematodes and bacteria in nature.

2009-05-02 | GSE15923 | GEO

Essential oils affect populations of some rumen bacteria as revealed by microarray analysis

Project description:Origanum oil (ORO), garlic oil (GAO), and peppermint oil (PEO) were shown to effectively lower methane production, decrease abundance of methanogens, and change abundances of several bacterial populations important to feed digestion in vitro. In this study, the impact of these essential oils (EOs, at 0.50 g/L), on the rumen bacterial community composition was further examined using the recently developed RumenBactArray.

2014-10-23 | GSE62624 | GEO

Project description:Fungal community changing under various seasons

| PRJNA637863 | ENA

Application of BiodegPhyloChip for expression profiling of functional genes from diverse contaminated habitats

Project description:Understanding the bacterial community structure, and their functional analysis for active bioremediation process is essential to design better and cost effective strategies. Microarray analysis enables us to simultaneously study the functional and phylogenetic markers of hundreds of microorganisms which are involved in active bioremediation process in an environment. We have previously described development of a hybrid 60-mer multibacterial microarray platform (BiodegPhyloChip) for profiling the bacterial communities and functional genes simultaneously in environments undergoing active bioremediation process (Pathak et al; Appl Microbiol Biotechnol,Vol. 90, 1739-1754). The present study involved profiling the status of bacterial communities and functional (biodegradation) genes using the developed 60-mer oligonucleotide microarray BiodegPhyloChip at five contaminated hotspots in the state of Gujarat, in western India. The expression pattern of functional genes (coding for key enzymes in active bioremediation process) at these sites was studied to understand the dynamics of biodegradation in the presence of diverse group of chemicals. The results indicated that the nature of pollutants and their abundance greatly influence the structure of bacterial communities and the extent of expression of genes involved in various biodegradation pathways. In addition, site specific factors also play a pivotal role to affect the microbial community structure as was evident from results of 16S rRNA gene profiling of the five contaminated sites, where the community structure varied from one site to another drastically.

2012-12-01 | GSE38004 | GEO

Microbial community structure of a lotic aquatic system receiving wastewater effluent

Project description:Total bacterial DNA was isolated from water and sediment samples from a local watershed and 16S rRNA sequences were analyzed using the Illumina MiSeq v3 platform in order to generate snapshots of bacterial community profiles.

2016-01-01 | GSE73842 | GEO

GeoChip 5.0 microarray of the active bacterial community from both warming and control soil samples

Project description:To determine whether and how warming affects the functional capacities of the active microbial communities, GeoChip 5.0 microarray was used. Briefly, four fractions of each 13C-straw sample were selected and regarded as representative for the active bacterial community if 16S rRNA genes of the corresponding 12C-straw samples at the same density fraction were close to zero.

2023-12-30 | E-MTAB-13326 | biostudies-arrayexpress

ChIP-seq study of sigma factors in Pseudomonas aeruginosa

Project description:Sigma factors are master regulators of bacterial transcription which direct gene expression of specific subsets of genes. In particular, alternative sigma factors are well-known to be key players of bacterial adaptation to changing environments. To elucidate the regulatory network of sigma factors in P. aeruginosa, an integrative approach including ChIP-seq of 11 polyhistidine-tag sigma factors was performed to define the primary regulon of each sigma factor.

2015-02-12 | GSE54997 | 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