Metabolic engineering of Synechocystis sp. PCC 6803 for enhanced ethanol production based on flux balance analysis

Synechocystis sp. PCC 6803 is an attractive host for bio-ethanol production due to its ability to directly convert atmospheric carbon dioxide into ethanol using photosystems. To enhance ethanol production in Synechocystis sp. PCC 6803, metabolic engineering was performed based on in silico simulations, using the genome-scale metabolic model. Comprehensive reaction knockout simulations by flux balance analysis predicted that the knockout of NAD(P)H dehydrogenase enhanced ethanol production under photoautotrophic conditions, where ammonium is the nitrogen source. This deletion inhibits the re-oxidation of NAD(P)H, which is generated by ferredoxin-NADP⁺ reductase and imposes re-oxidation in the ethanol synthesis pathway. The effect of deleting the ndhF1 gene, which encodes NADH dehydrogenase subunit 5, on ethanol production was experimentally evaluated using ethanol-producing strains of Synechocystis sp. PCC 6803. The ethanol titer of the ethanol-producing ∆ndhF1 strain increased by 145%, compared with that of the control strain.

     

PHOTOTACTIC MOTILITY OF SYNECHOCYSTIS SP. UNIWG (CYANOBACTERIA) FROM BRACKISH ENVIRONMENT1

Although type IV pilus has been implicated in the phototactic motility of some unicellular cyanobacteria, its regulatory mechanism and the effect of environmental factors on motility are still unknown. Equally important is the ability of cyanobacterial cells to anchor themselves to an environment that is conducive for survival. We compared the motility of a newly isolated unicellular brackish cyanobacterium, Synechocystis sp. UNIWG, with the morphologically and phylogenetically similar freshwater cyanobacterium Synechocystis sp. PCC6803 under different environmental conditions. The phototactic motility of Synechocystis sp. UNIWG on semisolid BG‐11 medium with various concentrations of nitrogen source was significantly faster than that of Synechocystis PCC6803. Interestingly, the cell surface of Synechocystis sp. UNIWG showed the presence of rigid spicules when grown in liquid BG‐11, a phenomenon that was absent in Synechocystis PCC6803. Negative staining of Synechocystis sp. UNIWG revealed the presence of two distinct pilus morphotypes, which resembled type IV pili and thin pili of Synechocystis PCC6803. This finding suggested a similar pattern of phototactic motility in both strains. However, the rigid spicules on Synechocystis sp. UNIWG seem to be more of a hindrance during type IV motility. It was determined that the spicules were degraded when the cells moved, such as under prolonged darkness and/or depletion of nitrogen source, indicating that the function of the spicules is to attach the cell to an environment that is conducive for its survival. Thus, Synechocystis sp. UNIWG shows phototaxis regulation that is more complex than Synechocystis PCC6803.     

Simultaneous increases in the levels of compatible solutes by cost-effective cultivation of Synechocystis sp. PCC 6803

Synechocystis sp. PCC 6803, a cyanobacterium widely used for basic research, is often cultivated in a synthetic medium, BG-11, in the presence of 4-(2-hydroxyethyl)-1-piperazine ethanesulfonic acid (HEPES) or 2-[[1,3-dihydroxy-2-(hydroxymethyl)propan-2-yl]amino]ethanesulfonic acid buffer. Owing to the high cost of HEPES buffer (96.9% of the total cost of BG-11 medium), the biotechnological application of BG-11 is limited. In this study, we cultured Synechocystis sp. PCC 6803 cells in BG-11 medium without HEPES buffer and examined the effects on the primary metabolism. Synechocystis sp. PCC 6803 cells could grow in BG-11 medium without HEPES buffer after adjusting for nitrogen sources and light intensity; the production rate reached 0.54 g cell dry weight·L⁻¹·day⁻¹, exceeding that of commercial cyanobacteria and Synechocystis sp. PCC 6803 cells cultivated under other conditions. The exclusion of HEPES buffer markedly altered the metabolites in the central carbon metabolism; particularly, the levels of compatible solutes, such as sucrose, glucosylglycerol, and glutamate were increased. Although the accumulation of sucrose and glucosylglycerol under high salt conditions is antagonistic to each other, these metabolites accumulated simultaneously in cells grown in the cost-effective medium. Because these metabolites are used in industrial feedstocks, our results reveal the importance of medium composition for the production of metabolites using cyanobacteria.     

Genome-scale stoichiometry analysis to elucidate the innate capability of the cyanobacterium Synechocystis for electricity generation

Synechocystis sp. PCC 6803 has been considered as a promising biocatalyst for electricity generation in recent microbial fuel cell research. However, the innate maximum current production potential and underlying metabolic pathways supporting the high current output are still unknown. This is mainly due to the fact that the high-current production cell phenotype results from the interaction among hundreds of reactions in the metabolism and it is impossible for reductionist methods to characterize the pathway selection in such a metabolic state. In this study, we employed computational metabolic techniques, flux balance analysis, and flux variability analysis, to exploit the maximum current outputs of Synechocystis sp. PCC 6803, in five electron transfer cases, namely, ferredoxin- and plastoquinol-dependent electron transfers under photoautotrophic cultivation, and NADH-dependent mediated electron transfer under photoautotrophic, heterotrophic, and mixotrophic conditions. In these five modes, the maximum current outputs were computed as 0.198, 0.7918, 0.198, 0.4652, and 0.4424 A gDW^?1, respectively. Comparison of the five operational modes suggests that plastoquinol-/c-type cytochrome-targeted electricity generation had an advantage of liberating the highest current output achievable for Synechocystis sp. PCC 6803. On the other hand, the analysis indicates that the currency metabolite, NADH-, dependent electricity generation can rely on a number of reactions from different pathways, and is thus more robust against environmental perturbations.     

Transformation and gene replacement in the facultatively chemoheterotrophic,unicellular cyanobacterium <Emphasis Type="Italic">Synechocystis</Emphasis> sp. PCC6714 by electroporation

The unicellular cyanobacterium Synechocystis sp. PCC6714 can grow not only under photoautotrophic conditions, but also under chemoheterotrophic conditions if glucose is added to the medium. This makes it useful for the study of many aspects of bioenergetic mechanisms. In contrast to its closely related strain Synechocystis sp. PCC6803, which cannot grow chemoheterotrophically, Synechocystis PCC6714 is not naturally transformable. To enable gene transfer in this strain, we established a method for the introduction of self-replicating IncQ plasmids and for gene replacement using electroporation. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Evaluation of central metabolism based on a genomic database of<Emphasis Type="Italic">Synechocystis</Emphasis> PCC6803

Cyanobacteria produce industrially important secondary metabolites such as lipopeptide, oligosaccharide, fatty acid (esp. sulfolipid),etc. Among them,Synechocystis PCC6803 is the first strain with a publicly available full genome sequence, as of 1996, and is one of the most extensively studied photosynthetic microorganisms. Using this genomic information, the central metabolism ofSynechocystis PCC6803 was reconstructed, including photosynthesis, oxidative phosphorylation, glycolysis, pyruvate metabolism, TCA cycle, carbon fixation, and transport system. Each biochemical reaction was carefully incorporated into the model, taking into consideration the metabolite formula, stoichiometry, charge balance, and thermodynamic properties using information from genomic and metabolic databases as well as biochemical literature. The metabolic flux of the model was calculated using flux balance analysis according to its cultivation with various carbon sources. The results of simulation were in accordance with experimental data, which suggests that the central metabolism model can properly estimate the behavior ofSynechocystis PCC6803. This model would aid in the understanding of the whole cell metabolism ofSynechocystis PCC6803, the first effort of its kind for photosynthetic bacteria.     

Reconstruction and analysis of genome-scale metabolic model of a photosynthetic bacterium

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.     

Proteomic analyses of the response of cyanobacteria to different stress conditions

Cyanobacteria are significant contributors to global photosynthetic productivity, thus making it relevant to study how the different environmental stresses can alter their physiological activities. Here, we review the current research work on the response of cyanobacteria to different kinds of stress, mainly focusing on their response to metal stress as studied by using the modern proteomic tools. We also report a proteomic analysis of plastocyanin and cytochrome c₆ deletion mutants of the cyanobacterium Synechocystis sp. PCC 6803 grown under copper or iron deprivation, as compared to wild-type cells, so as to get a further understanding of the metal homeostasis in cyanobacteria and their response to changing environmental conditions.     

Characterization of trophic changes and a functional oxidative pentose phosphate pathway in <Emphasis Type="Italic">Synechocystis</Emphasis> sp. PCC 6803

Cyanobacteria have a tremendous activity to adapt to environmental changes of their growth conditions. In this study, Synechocystis sp. PCC 6803 was used as a model organism to focus on the alternatives of cyanobacterial energy metabolism. Glucose oxidation in Synechocystis sp. PCC6803 was studied by inactivation of slr1843, encoding glucose-6-phosphate dehydrogenase (G6PDH), the first enzyme of the oxidative pentose phosphate pathway (OPPP). The resulting zwf strain was not capable of glucose supported heterotrophic growth. Growth under autotrophy and under mixotrophy was similar to that of the wild-type strain, even though oxygen evolution and uptake rates of the mutant were decreased in the presence of glucose. The organic acids citrate and succinate supported photoheterotrophic growth of both WT and zwf. Proteome analysis of soluble and membrane fractions allowed identification of four growth condition-dependent proteins, pentose-5-phosphate 3-epimerase (slr1622), inorganic pyrophosphatase (sll0807), hypothetical protein (slr2032) and ammonium/methylammonium permease (sll0108) revealing details of maintenance of the cellular carbon/nitrogen/phosphate balance under different modes of growth.     

Mapping photoautotrophic metabolism with isotopically nonstationary (13)C flux analysis

Understanding in vivo regulation of photoautotrophic metabolism is important for identifying strategies to improve photosynthetic efficiency or re-route carbon fluxes to desirable end products. We have developed an approach to reconstruct comprehensive flux maps of photoautotrophic metabolism by computational analysis of dynamic isotope labeling measurements and have applied it to determine metabolic pathway fluxes in the cyanobacterium Synechocystis sp. PCC6803. Comparison to a theoretically predicted flux map revealed inefficiencies in photosynthesis due to oxidative pentose phosphate pathway and malic enzyme activity, despite negligible photorespiration. This approach has potential to fill important gaps in our understanding of how carbon and energy flows are systemically regulated in cyanobacteria, plants, and algae.     

Reconstitution of oxaloacetate metabolism in the tricarboxylic acid cycle in Synechocystis sp. PCC 6803: discovery of important factors that directly affect the conversion of oxaloacetate

The tricarboxylic acid (TCA) cycle is one of the most important metabolic pathways in nature. Oxygenic photoautotrophic bacteria, cyanobacteria, have an unusual TCA cycle. The TCA cycle in cyanobacteria contains two unique enzymes that are not part of the TCA cycle in other organisms. In recent years, sustainable metabolite production from carbon dioxide using cyanobacteria has been looked at as a means to reduce the environmental burden of this gas. Among cyanobacteria, the unicellular cyanobacterium Synechocystis sp. PCC 6803 (Synechocystis 6803) is an optimal host for sustainable metabolite production. Recently, metabolite production using the TCA cycle in Synechocystis 6803 has been carried out. Previous studies revealed that the branch point of the oxidative and reductive TCA cycles, oxaloacetate metabolism, plays a key role in metabolite production. However, the biochemical mechanisms regulating oxaloacetate metabolism in Synechocystis 6803 are poorly understood. Concentrations of oxaloacetate in Synechocystis 6803 are extremely low, such that in vivo analysis of oxaloacetate metabolism does not seem realistic. Therefore, using purified enzymes, we reconstituted oxaloacetate metabolism in Synechocystis 6803 in vitro to reveal the regulatory mechanisms involved. Reconstitution of oxaloacetate metabolism revealed that pH, Mg²⁺ and phosphoenolpyruvate are important factors affecting the conversion of oxaloacetate in the TCA cycle. Biochemical analyses of the enzymes involved in oxaloacetate metabolism in this and previous studies revealed the biochemical mechanisms underlying the effects of these factors on oxaloacetate conversion. In addition, we clarified the function of two l- malate dehydrogenase isozymes in oxaloacetate metabolism. These findings serve as a basis for various applications of the cyanobacterial TCA cycle.     

Flux Balance Analysis of Cyanobacterial Metabolism: The Metabolic Network of Synechocystis sp. PCC 6803

Cyanobacteria are versatile unicellular phototrophic microorganisms that are highly abundant in many environments. Owing to their capability to utilize solar energy and atmospheric carbon dioxide for growth, cyanobacteria are increasingly recognized as a prolific resource for the synthesis of valuable chemicals and various biofuels. To fully harness the metabolic capabilities of cyanobacteria necessitates an in-depth understanding of the metabolic interconversions taking place during phototrophic growth, as provided by genome-scale reconstructions of microbial organisms. Here we present an extended reconstruction and analysis of the metabolic network of the unicellular cyanobacterium Synechocystis sp. PCC 6803. Building upon several recent reconstructions of cyanobacterial metabolism, unclear reaction steps are experimentally validated and the functional consequences of unknown or dissenting pathway topologies are discussed. The updated model integrates novel results with respect to the cyanobacterial TCA cycle, an alleged glyoxylate shunt, and the role of photorespiration in cellular growth. Going beyond conventional flux-balance analysis, we extend the computational analysis to diurnal light/dark cycles of cyanobacterial metabolism.     

In silico strategies to couple production of bioethanol with growth in cyanobacteria

Cyanobacteria have been considered as promising candidates for sustainable bioproduction from inexpensive raw materials, as they grow on light, carbon dioxide, and minimal inorganic nutrients. In this study, we present a genome-scale metabolic network model for Synechocystis sp. PCC 6803 and study the optimal design of the strain for ethanol production by using a mixed integer linear problem reformulation of a bilevel programming problem that identifies gene knockouts which lead to coupling between growth and product synthesis. Five mutants were found, where the in silico model predicts coupling between biomass growth and ethanol production in photoautotrophic conditions. The best mutant gives an in silico ethanol production of 1.054 mmol·gDW ⁻¹·h ⁻¹.     

Synechocystis sp. PCC6803 metabolic models for the enhanced production of hydrogen

In the present economy, difficulties to access energy sources are real drawbacks to maintain our current lifestyle. In fact, increasing interests have been gathered around efficient strategies to use energy sources that do not generate high CO₂ titers. Thus, science-funding agencies have invested more resources into research on hydrogen among other biofuels as interesting energy vectors. This article reviews present energy challenges and frames it into the present fuel usage landscape. Different strategies for hydrogen production are explained and evaluated. Focus is on biological hydrogen production; fermentation and photon-fuelled hydrogen production are compared. Mathematical models in biology can be used to assess, explore and design production strategies for industrially relevant metabolites, such as biofuels. We assess the diverse construction and uses of genome-scale metabolic models of cyanobacterium Synechocystis sp. PCC6803 to efficiently obtain biofuels. This organism has been studied as a potential photon-fuelled production platform for its ability to grow from carbon dioxide, water and photons, on simple culture media. Finally, we review studies that propose production strategies to weigh this organism’s viability as a biofuel production platform. Overall, the work presented in this review unveils the industrial capabilities of cyanobacterium Synechocystis sp. PCC6803 to evolve interesting metabolites as a clean biofuel production platform.     

Cyanobacterial multi-copy chromosomes and their replication

ABSTRACT

While the model bacteria Escherichia coli and Bacillus subtilis harbor single chromosomes, which is known as monoploidy, some freshwater cyanobacteria contain multiple chromosome copies per cell throughout their cell cycle, which is known as polyploidy. In the model cyanobacteria Synechococcus elongatus PCC 7942 and Synechocystis sp. PCC 6803, chromosome copy number (ploidy) is regulated in response to growth phase and environmental factors. In S. elongatus 7942, chromosome replication is asynchronous both among cells and chromosomes. Comparative analysis of S. elongatus 7942 and S. sp. 6803 revealed a variety of DNA replication mechanisms. In this review, the current knowledge of ploidy and DNA replication mechanisms in cyanobacteria is summarized together with information on the features common with plant chloroplasts. It is worth noting that the occurrence of polyploidy and its regulation are correlated with certain cyanobacterial lifestyles and are shared between some cyanobacteria and chloroplasts.     

Characterization of the role of a mechanosensitive channel in osmotic down shock adaptation in Synechocystis sp PCC 6803

Synechocystis sp strain PCC 6803 contains one gene encoding a putative large conductance mechanosensitive channel homolog [named SyMscL (slr0875)]. However, it is unclear whether SyMscL contributes to the adaptation to hypoosmotic stress in Synechocystis. Here we report the in vivo characteristics of SyMscL. SyMscL was mainly expressed in the plasma membrane of Synechocystis. Cell volume monitoring using stopped-flow spectrophotometry showed that ΔsymscL cells swelled more rapidly than wild-type cells under hypoosmotic stress conditions. Expression of symscL was under circadian control, and its peak corresponded to the beginning of subjective night. These results indicate that SyMscL functioned as one component of the osmotic homeostatic regulatory system of the cell coordinating the response of Synechocystis to daily metabolic osmotic fluctuations and environmental changes.