Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Azotobacter beijerinckii strain:dsm 282

ABSTRACT: Azotobacter beijerinckii DSM 282 Genome sequencing

PROVIDER: PRJNA297915 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR4149306_1.fastq.gz	Fastqsanger.gz
	SRR4149306_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Azotobacter beijerinckii strain:dsm 378

Project description:Azotobacter beijerinckii DSM 378 Genome sequencing

| PRJNA297913 | ENA

Azotobacter beijerinckii strain:dsm 1041

Project description:Azotobacter beijerinckii DSM 1041 Genome sequencing

| PRJNA298091 | ENA

Azotobacter beijerinckii strain:dsm 381

Project description:Azotobacter beijerinckii DSM 381 Genome sequencing

| PRJNA297912 | ENA

Azotobacter beijerinckii strain:dsm 373

Project description:Azotobacter beijerinckii DSM 373 Genome sequencing

| PRJNA297914 | ENA

Azotobacter beijerinckii

Project description:Azotobacter beijerinckii overview

| PRJNA298104 | ENA

Project description:Azotobacter beijerinckii DSM 282

| PRJEB17088 | ENA

Azotobacter vinelandii strain:dsm 279

Project description:Azotobacter vinelandii DSM 279 Genome sequencing

| PRJNA296715 | ENA

Clostridium beijerinckii NCIMB8052 wild-type cells vs.Clostridium beijerinckii NCIMB8052 degenerated strain cells

Project description:The transcriptome analysis by microarray was applied on wild-type and degenerated strains of C. beijerinckii NCIMB8052 (WT-8052 and DG-8052, respectively) to elucidate its mechanism of degeneration during solvent fermentation. The comparison of gene expression pattern in relation to ABE production is expected to provide insights toward metabolically engineering of C. beijerinckii NCIMB8052 with prevention of degeneration and eventually enhancement of ABE production.

2016-06-15 | GSE63671 | GEO

RNA-seq analysis of Clostridium beijerinckii DSM 6423 at early exponential, acetogenic, and solventogenic growth phase on rhamnose compared to glucose

Project description:This experiment aim was to characterize the catabolism of L-rhamnose of Clostridium beijerinckii DSM 6423 by transcriptomic analysis, generating new insights and knowledge on utilization of L-rhamnose for production of chemicals, including Isopropanol, Butanol, Ethanol (IBE) and 1,2-propandiol. These analysis on cultures grown on L-rhamnose compared to D-glucose grown cultures showed upregulation of the L-rhamnose-related clusters and genes, and lower expression of the solventogenic genes, which was reflected in the products formed.

2019-01-14 | E-MTAB-7487 | biostudies-arrayexpress

RNA-seq analysis of glucose fermentation by the natural Isopropanol producer Clostridium beijerinckii DSM6423

Project description:Purpose:C. beijerinckii DSM 6423 is the most cited natural IpOH producer. Improving the natural production of this strain through a targeted approach required a full sequencing and characterization of its genome, together with transcriptomic analyses of its own regulations.The goals of this study are then to evaluate the transcriptional profile (RNA-Seq) of C. beijerinckii DSM6423, a natural isopropanol producer, during a fermentation of glucose in controlled bioreactors. Methods : A RNA-Seq approach was chosen in order to have a timelapse study of DSM 6423 throughout the fermentation process. Three independent duplicate fermentations of DSM 6423 were carried out in bioreactors on three different weeks, showing good reproducibility. On each cultivation, five biomass samples were collected for RNA-Seq analyses.and DNA was eliminated after DNAse I treatment (AM1906, Invitrogen). The 15 resulting RNA samples were sequenced and analyzed using the previously reconstructed genome of DSM 6423. Results: Using a data analysis workflow (TAMARA) developed by the Genoscope platform of Evry, we were able to highlight the transcriptional regulation along the fermentation by calculating the transcription profiles of each gene, using the 3h sample as reference. Clustering was performed using CAST algorithm revealed 8 clusters containing 953 genes and corresponding to genes up-regulated at 6, 8, 11 or 24 hours and gene down-regulated at 6, 8, 11 or 24 hours. Conclusion : Such analyses were carried out in this study and provide useful data to better understand the genetic background and the physiological specificities of C. beijerinckii DSM6423 isopropanol producer. Notably, this work is the first omic study of a natural IBE producer. The data gathered needs time for proper exploitation, but a better understanding of the metabolic pathways and various genes involved opens the door for future targeted approaches.

2018-03-05 | GSE100024 | 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