Ontology highlight
ABSTRACT:
PROVIDER: PRJNA392388 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5769000.fastq.gz | Fastqsanger.gz | |||
| SRR5769001.fastq.gz | Fastqsanger.gz | |||
| SRR5769002.fastq.gz | Fastqsanger.gz | |||
| SRR5769003.fastq.gz | Fastqsanger.gz | |||
| SRR5769004.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 10 |
Similar Datasets
Project description:mRNA levels were measured in Rhodobacter sphaeroides 2.4.1 at 20% O2 and 0.5% O2, Rhodobacter sphaeroides 2.4.1 App11 (AppA-null), Rhodobacter sphaeroides 2.4.1 (pPNs) and PpsR mutant PPS2-4. The mRNA samples were prepared from cultures supplied with 20% O2, 1% CO2, and 79% N2, and grown in the dark to an OD of 0.18. The mRNA levels for each strain was measured three times. Keywords: repeat sample
2004-07-03 | GSE1515 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE39711: RpoHI and RpoHII regulons in Rhodobacter sphaeroides 2.4.1 from chromatin immuno-precipitation GSE39712: RpoHI and RpoHII regulons in Rhodobacter sphaeroides 2.4.1 from gene expression profiling Refer to individual Series
2012-08-02 | E-GEOD-39806 | biostudies-arrayexpress
Project description:Rhodobacter sphaeroides 2.4.1 illuminated with either lumiline bulbs at 10W/m2 or tungsten bulbs at 100W/m2. Sparged with 95%N/5%CO2. Keywords: other
2003-04-21 | GSE139 | GEO
Project description:Genome sequencing of Rhodobacter sphaeroides 2.4.1 substrain H2
| PRJNA595094 | ENA
Project description:DNA microarray analysis was employed to investigate the transcriptome response to nitrosative stress in a non-denitrifying facultative photosynthetic bacterium Rhodobacter sphaeroides 2.4.1. We focused on the role played by a nitric oxide-response transcriptional regulator NnrR in the response. The transcriptome profiles of R. sphaeroides 2.4.1 and its nnrR mutant before and after exposure to nitrosating agents S-nitrosoglutathione (GSNO) or sodium nitroprusside (SNP) under semiaerobic conditions were analyzed.
2012-11-11 | GSE33641 | GEO
Project description:This model is from the article:
iRsp1095: A genome-scale reconstruction of the Rhodobacter sphaeroides metabolic network
Imam S, Yilmaz S, Sohmen U, Gorzalski AS, Reed JL, Noguera DR, Donohue TJ. BMC Syst Biol.
2011 Jul 21;5:116. 21777427
,
Abstract:
BACKGROUND:
Rhodobacter sphaeroides is one of the best studied purple non-sulfur photosynthetic bacteria and serves as an excellent model for the study of photosynthesis and the metabolic capabilities of this and related facultative organisms. The ability of R. sphaeroides to produce hydrogen (H2), polyhydroxybutyrate (PHB) or other hydrocarbons, as well as its ability to utilize atmospheric carbon dioxide (CO2) as a carbon source under defined conditions, make it an excellent candidate for use in a wide variety of biotechnological applications. A genome-level understanding of its metabolic capabilities should help realize this biotechnological potential.
RESULTS:
Here we present a genome-scale metabolic network model for R. sphaeroides strain 2.4.1, designated iRsp1095, consisting of 1,095 genes, 796 metabolites and 1158 reactions, including R. sphaeroides-specific biomass reactions developed in this study. Constraint-based analysis showed that iRsp1095 agreed well with experimental observations when modeling growth under respiratory and phototrophic conditions. Genes essential for phototrophic growth were predicted by single gene deletion analysis. During pathway-level analyses of R. sphaeroides metabolism, an alternative route for CO2 assimilation was identified. Evaluation of photoheterotrophic H2 production using iRsp1095 indicated that maximal yield would be obtained from growing cells, with this predicted maximum ~50% higher than that observed experimentally from wild type cells. Competing pathways that might prevent the achievement of this theoretical maximum were identified to guide future genetic studies.
CONCLUSIONS:
iRsp1095 provides a robust framework for future metabolic engineering efforts to optimize the solar- and nutrient-powered production of biofuels and other valuable products by R. sphaeroides and closely related organisms.
Note:
Rhodobacter sphaeroides model (Version 1)
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication
for more information.
In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2005-01-01 | MODEL1106220000 | BioModels
Project description:The facultatively photosynthetic bacterium Rhodobacter sphaeroides harbors an unusual LOV (light, oxygen, voltage) domain protein, RsLOV. While showing a characteristic photocycle, the protein misses a C - terminal output domain, similar to PpSB2 in Pseudomonas putida. Oxygen tension and light quantity are the two main responsible factors controlling the expression of photosynthesis genes in Rhodobacter sphaeroides. Two photoreceptor proteins are known to be involved in this regulation: the intensively studied AppA protein and the more recently identified cryptochrome-like protein CryB. Here we show by transcriptome and physiological studies that RsLOV is also involved in the regulation of photosynthetic gene expression. Our data further hint to a connection between RsLOV and the carbon hydrate metabolism, chemotaxis, as well as to the cellular response to photooxidative stress. RsLOV does not only affect blue light dependent gene expression but also redox-dependent regulation. This SuperSeries is composed of the following subset Series: GSE33194: R. sphaeroides ?lov vs. R. sphaeroides 2.4.1 (microarobic conditions) GSE33259: R. sphaeroides ?lov vs. R. sphaeroides 2.4.1 (blue light, semiaerobic conditions) GSE33260: R. sphaeroides ?lov vs. R. sphaeroides 2.4.1 (singlet oxygen stress, aerobic conditions)
2011-10-25 | E-GEOD-33261 | biostudies-arrayexpress
Project description:Rhodobacter sphaeroides 2.4.1 transcriptome - 2.4.1_B
| PRJNA582309 | ENA
Project description:Rhodobacter sphaeroides 2.4.1 transcriptome - 2.4.1_A
| PRJNA582308 | ENA
Project description:Rhodobacter sphaeroides produces hydrogen gas (H2) via its nitrogenase enzyme during photoheterotrophic growth under nitrogen-limited conditions. We find that cells produce different amounts of H2 and show different growth rates, depending on the organic substrate provided (lactate, succinate, glucose, xylose, or glycerol). We used global transcript analyses to determine what genes are involved in the onset of H2 production, and those that lead to different H2 production capacities in cells fed different organic substrates.
2011-08-22 | GSE29811 | GEO