Optimizing cyanobacterial product synthesis: Meeting the challenges

Authors

ZAVŘEL Tomáš ČERVENÝ Jan KNOOP Henning STEUER Ralf

Year of publication 2016
Type Article in Periodical
Magazine / Source BIOENGINEERED
Citation
Web http://dx.doi.org/10.1080/21655979.2016.1207017
Doi http://dx.doi.org/10.1080/21655979.2016.1207017
Keywords biofuels; biotechnology; cyanobacteria; ethylene; genome-scale models (GSM); MIMS; photobioreactors; systems biology
Description The synthesis of renewable bioproducts using photosynthetic microorganisms holds great promise. Sustainable industrial applications, however, are still scarce and the true limits of phototrophic production remain unknown. One of the limitations of further progress is our insufficient understanding of the quantitative changes in photoautotrophic metabolism that occur during growth in dynamic environments. We argue that a proper evaluation of the intra- and extracellular factors that limit phototrophic production requires the use of highly-controlled cultivation in photobioreactors, coupled to real-time analysis of production parameters and their evaluation by predictive computational models. In this addendum, we discuss the importance and challenges of systems biology approaches for the optimization of renewable biofuels production. As a case study, we present the utilization of a state-of-the-art experimental setup together with a stoichiometric computational model of cyanobacterial metabolism for quantitative evaluation of ethylene production by a recombinant cyanobacterium Synechocystis sp. PCC 6803.
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