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Journal ArticleDOI

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

TLDR
The work presented in this review unveils the industrial capabilities of cyanobacterium Synechocystis sp.
Abstract
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.

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Metabolic Engineering Principles And Methodologies

TL;DR: The metabolic engineering principles and methodologies is universally compatible with any devices to read and an online access to it is set as public so you can get it instantly.
Journal ArticleDOI

Biosynthesis of platform chemical 3-hydroxypropionic acid (3-HP) directly from CO2 in cyanobacterium Synechocystis sp. PCC 6803

TL;DR: The results showed that overexpression of the ribulose-1, 5-bisphosphate carboxylase/oxygenase (Rubisco) gene from Anabaena sp.
Journal ArticleDOI

Axenic Biofilm Formation and Aggregation by Synechocystis sp. Strain PCC 6803 Are Induced by Changes in Nutrient Concentration and Require Cell Surface Structures.

TL;DR: A biofilm assay was developed and found that axenic Synechocystis forms biofilms of cells and extracellular material but only when cells are induced by an environmental signal, such as a reduction in the concentration of growth medium BG11.
Book ChapterDOI

Applications of genome-scale metabolic models of microalgae and cyanobacteria in biotechnology

TL;DR: This chapter provides an overview of genome-scale metabolic models of cyanobacteria and microalgae and describes their applications in biotechnology, strain design, and analysis of omics data.
References
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Journal ArticleDOI

Electrochemical Photolysis of Water at a Semiconductor Electrode

TL;DR: Water photolysis is investigated by exploiting the fact that water is transparent to visible light and cannot be decomposed directly, but only by radiation with wavelengths shorter than 190 nm.
Journal ArticleDOI

Generic assignments, strain histories, and properties of pure cultures of cyanobacteria

TL;DR: Revisions are designed to permit the generic identification of cultures, often difficult through use of the field-based system of phycological classification, and are both constant and readily determinable in cultured material.
Journal ArticleDOI

Sequencing technologies-the next generation

TL;DR: A technical review of template preparation, sequencing and imaging, genome alignment and assembly approaches, and recent advances in current and near-term commercially available NGS instruments is presented.
Journal ArticleDOI

Network Motifs: Simple Building Blocks of Complex Networks

TL;DR: Network motifs, patterns of interconnections occurring in complex networks at numbers that are significantly higher than those in randomized networks, are defined and may define universal classes of networks.
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