Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Burkholderia seminalis strain:TC3.4.2R3

ABSTRACT: Burkholderia seminalis TC3.4.2R3 gene expression transcriptome analysis

PROVIDER: PRJNA999207 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR25445389_1.fastq.gz	Fastqsanger.gz
	SRR25445389_2.fastq.gz	Fastqsanger.gz
	SRR25445390_1.fastq.gz	Fastqsanger.gz
	SRR25445390_2.fastq.gz	Fastqsanger.gz
	SRR25445391_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Burkholderia seminalis

Project description:Burkholderia seminalis Transcriptome or Gene expression

| PRJNA235910 | ENA

Burkholderia seminalis

Project description:Burkholderia seminalis overview

| PRJNA63571 | ENA

Comparative genomic hybridization of a Burkholderia cenocepacia collection

Project description:Individual normalized intensity of Burkholderia cenocepacia and Burkholderia seminalis hybridized in a B. cenocepacia array

2014-07-31 | GSE58353 | GEO

Burkholderia seminalis 0901

Project description:Burkholderia seminalis 0901 genome sequencing

| PRJNA63525 | ENA

Burkholderia seminalis R456

Project description:Burkholderia seminalis R456 Genome sequencing

| PRJNA76131 | ENA

Burkholderia seminalis strain:869T2

Project description:Burkholderia seminalis strain:869T2 Genome sequencing

| PRJNA243842 | ENA

Burkholderia seminalis strain:TC3.4.2R3

Project description:Burkholderia seminalis strain:TC3.4.2R3 Genome sequencing and assembly

| PRJNA278463 | ENA

Burkholderia seminalis DSM 23518

Project description:Burkholderia seminalis DSM 23518 Genome sequencing

| PRJNA76129 | ENA

Burkholderia seminalis S9 strain:S9

Project description:Burkholderia seminalis S9 strain:S9 Genome sequencing

| PRJNA76133 | ENA

Transcriptome analysis of rice pathogen Acidovorax avenae subsp. avenae cultivated in vitro, in vivo and in co-culture with the rice rhizobacterium Burkholderia seminalis

Project description:Determining how a bacterial pathogen responds to its host and other bacterial species by altering gene expression is key to understand its pathogenesis and environmental adaption. Here, we used RNA-Seq to comprehensively and quantitatively assess the transcriptional response of the rice bacterial pathogen Acidovorax avenae subsp. avenae strain RS-1 cultivated in vitro, in vivo and in co-culture with rice rhizobacterium Burkholderia seminalis R456. Results revealed a surprisingly large number of regulatory differences between these conditions indicating adaptation of A. avenae subsp. avenae to specific ecological conditions. In particular, a number of potential virulence factors such as type 3 secretion system proteins were specifically expressed under in vivo conditions, whereas genes whose protein products are involved in inter-bacterial interaction such as auxin efflux carrier, small mechanosensitive ion channel protein, and ureidoglycolate hydrolase were among those specifically up-regulated under co-culture conditions. In addition, global genomic analysis of strain RS-1 identified 406 putative non-coding (nc) RNA genes. Interestingly, 8 ncRNA genes that were uniquely expressed under in vivo may be linked to pathogenicity while 4 ncRNA genes that were uniquely expressed under coculture conditions may be involved in adaption to co-cultivation with B. seminalis. Expression data obtained by RNA-Seq were also confirmed for selected genes by quantitative real-time PCR and two-dimensional gel electrophoresis as well as knockout analysis.

2013-09-03 | GSE50522 | 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