Dataset Information

A systematic survey of the light-dependent protein quality control in a model cyanobacterium

ABSTRACT: We conducted a large-scale identification of protein degradation under light or dark condition in the model cyanobacterium Synechocystis PCC 6803 (Hereafter referred as Synechocystis) using the isobaric labeling based quantitative proteomics technique. This is the first discovery about redox-regulated protein degradation in cyanobacteria. Our results provide the first comprehensive catalog of the light-dependent protein degradation events, and would act as an important resource in future study toward understanding light-regulated processes and protein quality control mechanism in cyanobacteria.

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Synechocystis Sp. Pcc 6803 Substr. Gt-i

TISSUE(S): Whole Body

SUBMITTER: Weiyang Chen

LAB HEAD: Yingchun Wang

PROVIDER: PXD023181 | Pride | 2021-11-10

REPOSITORIES: Pride

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Publications

A Systematic Survey of the Light/Dark-dependent Protein Degradation Events in a Model Cyanobacterium.

Chen Weiyang W Zheng Limin L Dong Jinghui J Ge Haitao H Huang Xiahe X Wang Gaojie G Huang Chengcheng C Wang Yan Y Lu Dandan D Xu Wu W Wang Yingchun Y

Molecular & cellular proteomics : MCP 20211013

Light is essential for photosynthetic organisms and is involved in the regulation of protein synthesis and degradation. The significance of light-regulated protein degradation is exemplified by the well-established light-induced degradation and repair of the photosystem II reaction center D1 protein in higher plants and cyanobacteria. However, systematic studies of light-regulated protein degradation events in photosynthetic organisms are lacking. Thus, we conducted a large-scale survey of prote ...[more]

PMID: 34655801

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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: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.

Dataset Information

A systematic survey of the light-dependent protein quality control in a model cyanobacterium

Publications

A Systematic Survey of the Light/Dark-dependent Protein Degradation Events in a Model Cyanobacterium.

Similar Datasets

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