Chlorella sp. HS2
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA590327 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Chlorella sp. HS2 is a halotolerant microalga exhibiting relatively high biomass productivity and substantially high lipid accumulation in marine growth media, which suggests this alga as an important crop for industrial algal cultivation systems. To determine pathways leading to HS2's acclimation responses to salt stress, we performed RNA-seq analysis with triplicated cultures grown in freshwater and marine media at both exponential and stationary growth phases. We then run de novo assembly to obtain HS2 transcriptome, which in turn was annotated and processed to extract dysregulated pathways. Results showed a large proportion of down-regulated genes, for instance photosynthesis and TCA pathways. Photosynthesis appeared, however, to recover at the stationary phase, while the general down-regulation pattern was maintained.
2020-03-12 | GSE146789 | GEO
Project description:Proteomic data from E. coli grown with or without the azo dye, Red Dye number 40. WT and delta fnr E. coli were cultured in Luria Broth media and cultures were inoculated with 250 uM Red No. 40 at either mid-exponential or stationary growth phases. Vehicle control samples were also analyzed at mid-exponential and stationary growth phases.
2023-07-06 | MSV000092365 | MassIVE
Project description:We use untargeted high-resolution mass spectrometry to understand the metabolic differences at exponential and stationary growth stages using 22 Chlorella strains collected from South East Asia. Using this data, we demonstrate the use of a filtering procedure based on the SVD on the untargeted metabolite profile data, compared over two growth stages and run in four batches, and to remove structure in data related to day of sample assay. This approach preserves signal of demonstrable biological origin (strain-related variation in mass feature intensity) after minimizing the influence of batch effects. Our approach will be broadly applicable in metabolomics analysis to identify and remove batch effects. See MTBLS129 for associated study.
2016-10-03 | MTBLS193 | MetaboLights
Project description:The transition between exponential and stationary phase is a natural phenomenon for all bacteria and requires a massive readjustment of the bacterial transcriptome. Exoribonucleases are key enzymes in the transition between the two growth phases. PNPase, RNase R and RNase II are the major degradative exoribonucleases in Escherichia coli. We analysed the whole transcriptome of exponential and stationary phases from the WT and mutants lacking these exoribonucleases (Δpnp, Δrnr, Δrnb, and ΔrnbΔrnr). When comparing the cells from exponential phase with the cells from stationary phase more than 1000 transcripts were differentially expressed, but only 491 core transcripts were common to all strains. There were some differences in the number and transcripts affected depending on the strain, suggesting that exoribonucleases influence the transition between these two growth phases differently. Interestingly, we found that the double mutant RNase II/RNase R is similar to the RNase R single mutant in exponential phase while in stationary phase it seems to be closer to the RNase II single mutant. This is the first global transcriptomic work comparing the roles of exoribonucleases in the transition between exponential and stationary phase.
2019-11-13 | GSE117635 | GEO
Project description:Genome-wide gene expression analysis was performed with the cells in exponential and stationary growth phases. Through these two growth status, 89.6% of currently annotated genes were expressed.
2012-12-31 | GSE35926 | GEO
Project description:Transcriptomic profiling of Salmonella during lag, exponential and stationary phases of growth
| PRJNA127411 | ENA
Project description:Identification of the specific SigA binding regions on the B. subtilis chromosome during exponential, transition and stationary growth phases. The data served to help the analysis of the repertoire of B. subtilis promoters established from transcriptome profiles. 3 growth phases (exponential, transition, stationary) x 2 biological replicates were analysed on the BsubT2 tiling array.
2012-01-01 | E-GEOD-27665 | biostudies-arrayexpress
Project description:Identification of the specific SigA binding regions on the B. subtilis chromosome during exponential, transition and stationary growth phases. The data served to help the analysis of the repertoire of B. subtilis promoters established from transcriptome profiles. 3 growth phases (exponential, transition, stationary) x 2 biological replicates were analysed on the BsubT1 tiling array.
2012-01-01 | E-GEOD-27650 | biostudies-arrayexpress
Project description:<p>Phaeocystis pouchetii (Hariot) Lagerheim, 1893 regularly dominates phytoplankton blooms in the Arctic. Through zooplankton grazing and microbial activity, it is considered to be a key resource for the entire marine food web but the actual relevance of biomass transfer to higher trophic levels is still under discussion. Cell physiology and algal nutritional state are suggested to be major factors controlling the observed variability in zooplankton grazing. However, no data have so far yielded insights into the metabolic state of Phaeocystis populations that would allow testing this hypothesis. Therefore, endometabolic markers of different growth phases were determined in laboratory batch cultures using comparative metabolomics and quantified in different phytoplankton blooms in the field. Metabolites, produced during exponential, early and late stationary growth of P. pouchetii were profiled using gas chromatography-mass spectrometry. Then, metabolites were characterized that correlate with the growth phases using multivariate statistical analysis. Free amino acids characterized exponential growth, whereas the early stationary phase was correlated with sugar alcohols, mono- and disaccharides. In the late stationary phase free fatty acids, sterols and terpenes increased. These marker metabolites were then traced in Phaeocystis blooms during a cruise in the Barents Sea and North Norwegian fjords. About 50 endometabolites of P. pouchetii were detected in natural phytoplankton communities. Their relative abundances at Phaeocystis-dominated stations differed from diatom-dominated stations. Mannitol, scyllo- inositol, 24-methylcholesta-5,22-dien-3β-ol, and several free fatty acids were characteristic for Phaeocystis-dominated blooms. Distinct metabolic profiles were detected in the nutrient- depleted community in the inner Porsangerfjord (<0.5 μM NO3-, <0.1 μM PO4-), with high relative amounts of free mono- and disaccharides indicative for a limited culture. This study, therefore, shows how variable physiology of phytoplankton can alter the metabolic landscape of entire plankton communities.</p>
2020-06-25 | MTBLS758 | MetaboLights
Project description:Identification of the specific SigA binding regions on the B. subtilis chromosome during exponential, transition and stationary growth phases. The data served to help the analysis of the repertoire of B. subtilis promoters established from transcriptome profiles.
2012-01-01 | GSE27665 | GEO