Dataset Information

PG-regulated Synechocystis sp. PCC6803

ABSTRACT: Cells from the Synechocystis sp. PCC6803 strain were used to identify phosphatidylglycerol-regulated proteins by label-free quantitative shotgun proteomics combining SDS-PAGE prefractionation and data-dependent LC–MS/MS. Acquired data was searched against a composite protein sequence database of cyanobacteria using the Mascot search algorithm. Protein identifications were accepted after rigorous validation criteria of Peptide Prophet, Protein Prophet and requiring at least two unique proteolytic peptides for each protein. Extracted peptide intensity features were used for the label-free comparison of differential protein expression in the mutant cyanobacteria cells.

INSTRUMENT(S): LTQ FT, instrument model

ORGANISM(S): Synechocystis Sp. Synechocystis Sp. Pcc 6803

TISSUE(S): Photosynthetic Cell

SUBMITTER: Laszlo Prokai

PROVIDER: PXD000363 | Pride | 2014-03-06

REPOSITORIES: Pride

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Publications

Label-free LC-MS/MS identification of phosphatidylglycerol-regulated proteins in Synechocystis sp. PCC6803.

Talamantes Tatjana T Ughy Bettina B Domonkos Ildikó I Kis Mihály M Gombos Zoltán Z Prokai Laszlo L

Proteomics 20140501 9

We present a proteomics dataset combining SDS-PAGE prefractionation and data-dependent LC-MS/MS that enables the identification of phosphatidylglycerol-regulated proteins in the pgsA(-) mutant of Synechocystis sp. PCC6803, a cyanobacterium strain that grows with this indispensable phospholipid added exogenously. We searched the acquired raw data against a composite protein sequence database of Synechocystis using MASCOT, and employed Progenesis LC-MS software for label-free quantification based ...[more]

PMID: 24574175

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Project description:Montagud2010 - Genome-scale metabolic network of Synechocystis sp. PCC6803 (iSyn669) This model is described in the article: Reconstruction and analysis of genome-scale metabolic model of a photosynthetic bacterium. Montagud A, Navarro E, Fernández de Córdoba P, Urchueguía JF, Patil KR. BMC Syst Biol 2010; 4: 156 Abstract: BACKGROUND: Synechocystis sp. PCC6803 is a cyanobacterium considered as a candidate photo-biological production platform--an attractive cell factory capable of using CO2 and light as carbon and energy source, respectively. In order to enable efficient use of metabolic potential of Synechocystis sp. PCC6803, it is of importance to develop tools for uncovering stoichiometric and regulatory principles in the Synechocystis metabolic network. RESULTS: We report the most comprehensive metabolic model of Synechocystis sp. PCC6803 available, iSyn669, which includes 882 reactions, associated with 669 genes, and 790 metabolites. The model includes a detailed biomass equation which encompasses elementary building blocks that are needed for cell growth, as well as a detailed stoichiometric representation of photosynthesis. We demonstrate applicability of iSyn669 for stoichiometric analysis by simulating three physiologically relevant growth conditions of Synechocystis sp. PCC6803, and through in silico metabolic engineering simulations that allowed identification of a set of gene knock-out candidates towards enhanced succinate production. Gene essentiality and hydrogen production potential have also been assessed. Furthermore, iSyn669 was used as a transcriptomic data integration scaffold and thereby we found metabolic hot-spots around which gene regulation is dominant during light-shifting growth regimes. CONCLUSIONS: iSyn669 provides a platform for facilitating the development of cyanobacteria as microbial cell factories. This model is hosted on BioModels Database and identified by: MODEL1507180008. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. 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.

Project description:The production of biofuels in photosynthetic microalgae and cyanobacteria is considered a promising alternative to the generation of fuels from fossil resources. However, to be economically competitive, producer strains need to be established that synthesize the targeted product at high yield and over a long time. Engineering cyanobacteria to forced fuel producers should considerably interfere with overall cell homeostasis, which in turn might counteract productivity and sustainability of the process. Therefore, in-depth characterization of the cellular response upon long-term production is of high interest for the targeted improvement of a desired strain. Here we report the results of a monitoring experiment, in which the transcriptome-wide response to continuous ethanol production in the unicellular model cyanobacterium Synechocystis sp. PCC6803 was examined using high resolution microarrays. In two independent experiments, ethanol production rates of 0.0338% (v/v) EtOH d-1 M-BM-1 0.002 and 0.0303% (v/v) d-1 M-BM-1 0.002 were obtained over 18 consecutive days, measuring biological triplicates in fully automated photobioreactors. Ethanol production caused a significant (~40%) delay in biomass accumulation in the producer strains and the development of a bleaching phenotype. Absorption spectroscopy indicated in particular a down-regulation of light harvesting capacity. Microarray analyses performed at day 4, 7, 11 and 18 of the experiment revealed only three mRNAs with a strongly modified accumulation level throughout the course of the experiment. In addition to the overexpressed adhA (slr1192) gene, this was an about 4 fold reduction in cpcB (sll1577) and an about 3 to 6 fold increase in rps8 (sll1809) mRNA levels. Much weaker modifications of expression level or modifications restricted to day 18 of the experiment were observed for genes involved in carbon assimilation (Ribulose bisphosphate carboxylase and Glutamate decarboxylase). Molecular analysis of the reduced cpcB levels revealed a post-transcriptional operon discoordination in the cpcBA operon leaving a truncated mRNA cpcA* likely not competent for translation. Moreover, Western blots and zinc-enhanced bilin fluorescence blots confirmed a severe reduction in the amounts of both phycocyanin subunits, explaining the cause of the bleaching phenotype. We conclude that the changes in gene expression upon induction of long term ethanol production in Synechocystis sp. PCC6803 are highly specific. in particular we did not observe a comprehensive stress response contributing to a complex phenotype as might have been expected. Gene expression of Synechocystis sp. PCC 6803 WT (#621) and the isogenic ethanol producing strain #309 was monitored at 4, 7, 11 and 18 days after induction of ethanol production by copper depletion. Each condition was sampled in biological duplicates

Project description:The production of biofuels in photosynthetic microalgae and cyanobacteria is considered a promising alternative to the generation of fuels from fossil resources. However, to be economically competitive, producer strains need to be established that synthesize the targeted product at high yield and over a long time. Engineering cyanobacteria to forced fuel producers should considerably interfere with overall cell homeostasis, which in turn might counteract productivity and sustainability of the process. Therefore, in-depth characterization of the cellular response upon long-term production is of high interest for the targeted improvement of a desired strain. Here we report the results of a monitoring experiment, in which the transcriptome-wide response to continuous ethanol production in the unicellular model cyanobacterium Synechocystis sp. PCC6803 was examined using high resolution microarrays. In two independent experiments, ethanol production rates of 0.0338% (v/v) EtOH d-1 ± 0.002 and 0.0303% (v/v) d-1 ± 0.002 were obtained over 18 consecutive days, measuring biological triplicates in fully automated photobioreactors. Ethanol production caused a significant (~40%) delay in biomass accumulation in the producer strains and the development of a bleaching phenotype. Absorption spectroscopy indicated in particular a down-regulation of light harvesting capacity. Microarray analyses performed at day 4, 7, 11 and 18 of the experiment revealed only three mRNAs with a strongly modified accumulation level throughout the course of the experiment. In addition to the overexpressed adhA (slr1192) gene, this was an about 4 fold reduction in cpcB (sll1577) and an about 3 to 6 fold increase in rps8 (sll1809) mRNA levels. Much weaker modifications of expression level or modifications restricted to day 18 of the experiment were observed for genes involved in carbon assimilation (Ribulose bisphosphate carboxylase and Glutamate decarboxylase). Molecular analysis of the reduced cpcB levels revealed a post-transcriptional operon discoordination in the cpcBA operon leaving a truncated mRNA cpcA* likely not competent for translation. Moreover, Western blots and zinc-enhanced bilin fluorescence blots confirmed a severe reduction in the amounts of both phycocyanin subunits, explaining the cause of the bleaching phenotype. We conclude that the changes in gene expression upon induction of long term ethanol production in Synechocystis sp. PCC6803 are highly specific. in particular we did not observe a comprehensive stress response contributing to a complex phenotype as might have been expected.

Dataset Information

PG-regulated Synechocystis sp. PCC6803

Publications

Label-free LC-MS/MS identification of phosphatidylglycerol-regulated proteins in Synechocystis sp. PCC6803.

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