Transcriptional cycle suited to daytime N2 fixation in the unicellular cyanobacterium Candidatus Atelocyanobacterium thalassa (UCYN-A)
Ontology highlight
ABSTRACT:
ORGANISM(S): Candidatus Atelocyanobacterium thalassa
PROVIDER: GSE100124 | GEO | 2018/12/05
REPOSITORIES: GEO
Similar Datasets
Project description: Not available
| S-EPMC6315102 | biostudies-literature
Project description:Investigation of whole genome gene expression level changes in Trichodesmium erythraeum IMS101 during a 24-hr light and dark cycle. The diel gene expression analyzed in this study is further described in Muñoz-Marin, M., I. N. Shilova, T. Shi, H. Farnelid & J. P. Zehr. 2019. The transcriptional cycle is suited to daytime N2 fixation in the unicellular cyanobacterium “Candidatus Atelocyanobacterium thalassa” (UCYN-A). mBio 10:e02495-18. https://doi.org/10.1128/mBio.02495-18.
2017-06-11 | GSE99896 | GEO
Project description:Cyanobacteria are photoautotrophs that profoundly impact the biogeochemical cycles on Earth. Due to their photosynthetic lifestyle that includes the fixation of atmospheric CO2, they are of increasing interest for a sustainable economy. Knowledge of protein expression and regulation is key for understanding of the cyanobacterial metabolism; however, proteome studies in cyanobacteria are still limited and cover only a fraction of the theoretical proteome. Here, we performed a proteogenomic analysis of 628 LC-MS/MS measurements for the unicellular model cyanobacterium Synechocystis sp. PCC 6803 to characterize the expressed (phospho)proteome, re-annotate known and discover potential novel open reading frames (ORFs). By mapping extensive shotgun MS proteomics data generated by the SCyCode consortium onto a six-frame translation of the Synechocystis genome, we re-annotated 96 start sites and discovered 103 novel open reading frames (ORFs). Through re-analysis of previously published multi-omics datasets, we confirmed 48 re-annotated or novel ORFs with high confidence. Our study resulted in the largest reported proteome and phosphoproteome dataset for Synechocystis, covering expression of about 80% of the theoretical proteome and 642 O-phosphorylation events under various cultivation conditions, such as nitrogen or carbon limitation. This dataset will serve as a resource providing dedicated information on condition-dependent protein expression and phosphorylation.
2024-01-05 | PXD033290 | Pride
Project description:Cyanobacteria are photoautotrophs that profoundly impact the biogeochemical cycles on Earth. Due to their photosynthetic lifestyle that includes the fixation of atmospheric CO2, they are of increasing interest for a sustainable economy. Knowledge of protein expression and regulation is key for understanding of the cyanobacterial metabolism; however, proteome studies in cyanobacteria are still limited and cover only a fraction of the theoretical proteome. Here, we performed a proteogenomic analysis of 628 LC-MS/MS measurements for the unicellular model cyanobacterium Synechocystis sp. PCC 6803 to characterize the expressed (phospho)proteome, re-annotate known and discover potential novel open reading frames (ORFs). By mapping extensive shotgun MS proteomics data generated by the SCyCode consortium onto a six-frame translation of the Synechocystis genome, we re-annotated 96 start sites and discovered 103 novel open reading frames (ORFs). Through re-analysis of previously published multi-omics datasets, we confirmed 48 re-annotated or novel ORFs with high confidence. Our study resulted in the largest reported proteome and phosphoproteome dataset for Synechocystis, covering expression of about 80% of the theoretical proteome and 642 O-phosphorylation events under various cultivation conditions, such as nitrogen or carbon limitation. This dataset will serve as a resource providing dedicated information on condition-dependent protein expression and phosphorylation.
2024-01-05 | PXD033243 | Pride
Project description: Not available
| S-EPMC3379635 | biostudies-literature
Project description:Background: High-energy-density biofuels are typically derived from the fatty acid biosynthesis pathway, thus establishing free fatty acids (FFAs) as important fuel precursors. FFA production using photosynthetic microorganisms like cyanobacteria allows for direct conversion of carbon dioxide into fuel precursors. Recent studies investigating cyanobacterial FFA production have demonstrated the potential of this process, yet FFA production was also shown to have negative physiological effects on the cyanobacterial host, ultimately limiting high yields of FFAs. Results: Cyanobacterial FFA production was shown to generate reactive oxygen species (ROS) and lead to increased cell membrane permeability. To identify genetic targets that may mitigate these toxic effects, RNA-seq analysis was used to investigate the host response of Synechococcus elongatus PCC 7942. Stress response, nitrogen metabolism, photosynthesis, and protein folding genes were up-regulated during FFA production while genes involved in carbon and hydrogen metabolisms were down-regulated. Select genes were targeted for mutagenesis to confirm their role in mitigating FFA toxicity. Gene knockout of two porins and the overexpression of ROS-degrading proteins and hypothetical proteins reduced the toxic effects of FFA production, allowing for improved growth, physiology, and FFA production. Comparative transcriptomics, analyzing gene expression changes associated with FFA production and other stress conditions, identified additional key genes involved in cyanobacterial stress response. Conclusions: A total of 15 gene targets were identified to reduce the toxic effects of FFA production. While single-gene targeted mutagenesis led to minor increases in FFA production, the combination of these targeted mutations may yield additional improvement, advancing the development of high-energy-density fuels derived from cyanobacteria.
2013-08-22 | GSE45762 | GEO
Project description:Investigation of whole genome gene expression level changes in Prochlorococcus from environmental samples. The diel gene expression analyzed in this study is further described in Muñoz-Marin, M., Duhamel, S., Björkman, K., Magasin, J., Díez, J., Karl, D.M., Garcia-Fernandez, J.M., 2021. ISME J. (to be submitted).
2022-08-23 | GSE154594 | GEO
Project description:Cyanobacteria are phototrophic prokaryotes that can convert inorganic carbon as CO2 into organic carbon compounds at the expense of light energy. In addition, they need only a few inorganic nutrients and can be cultivated in high densities using non-arable land and seawater. This features qualified cyanobacteria as attractive organisms for the production of third generation biofuels as part of the development of future CO2-neutral energy production. Synechocystis sp. PCC 6803 represents one of the most widely used cyanobacterial model strains. On the basis of its available genome sequence and genetic tools, many strains of Synechocystis have been generated that produce different biotechnological products. Efficient isoprene production is an attractive goal, since this compound represents not only an energy-rich biofuel but is also used as chemical feedstock. Here, we report on our attempts to generate isoprene-producing strains of Synechocystis. The cDNA of a codon-optimized plant isoprene synthase (IspS) was cloned under the control of different Synechocystis promoters, which ensure strong constitutive or light-regulated ispS expression. The expression of the ispS gene was quantified by qPCR, whereas the amount of isoprene was quantified using GC-MS. Incubation of our strains at different salt conditions had marked impact on the isoprene production rates. Under low salt conditions, a good correlation was found between ispS expression and isoprene production rate. However, the cultivation of isoprene production strains under salt-supplemented conditions decreased isoprene production despite the fact that ispS expression was salt-stimulated. The characterization of the metabolome of isoprene producing strains indicated that isoprene production might be limited by insufficient precursor levels. Our isoprene production rates under low salt conditions were 2 - 6.5times higher compared to the previous report of Lindberg et al. (2010). These results can be used to guide future attempts establishing the isoprene production with cyanobacterial host systems.
2015-11-13 | GSE74940 | GEO
Project description:Metabolism, cell cycle stages, and related transcriptomes in eukaryotic algae change with the diel cycle of light availability. In the unicellular red alga Cyanidioschyzon merolae, the S and M phases occur at night. To examine how diel transcriptomic changes in metabolic pathways are related to the cell cycle and to identify all genes, for which mRNA levels change depending on the cell cycle, we examined diel transcriptomic changes in C. merolae. In addition, we compared transcriptomic changes between the wild type and transgenic lines, in which the cell cycle was uncoupled from the diel cycle by the depletion of either cyclin-dependent kinase A (CDKA) or retinoblastoma-related (RBR) protein. Of 4,775 nucleus-encoded genes, the mRNA levels of 1,979 genes exhibited diel transcriptomic changes in the wild type. Of these, the periodic expression patterns of 454 genes were abolished in the transgenic lines, suggesting that the expression of these genes is dependent on cell cycle progression. The periodic expression patterns of most metabolic genes, except those involved in starch degradation and de novo dNTP synthesis, were not affected in the transgenic lines, indicating that the cell cycle and transcriptomic changes in most metabolic pathways are independent of the diel cycle. Approximately 40% of the cell–cycle–dependent genes were of unknown function, and approximately 19% of these genes of unknown function are shared with the green alga Chlamydomonas reinhardtii. The dataset presented in this study will facilitate further studies on the cell cycle and its relationship with metabolism in eukaryotic algae.
2019-11-26 | GSE131944 | GEO
Project description:unicellular cyanobacterium SU3 Genome sequencing and assembly
| PRJNA384303 | ENA