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Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling

BACKGROUND: Cyanobacteria are increasingly recognized as promising cell factories for the production of renewable biofuels and chemical feedstocks from sunlight, CO2, and water. However, most biotechnological applications of these organisms are still characterized by low yields. Increasing the produ...

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Autores principales: Erdrich, Philipp, Knoop, Henning, Steuer, Ralf, Klamt, Steffen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180434/
https://www.ncbi.nlm.nih.gov/pubmed/25323065
http://dx.doi.org/10.1186/s12934-014-0128-x
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author Erdrich, Philipp
Knoop, Henning
Steuer, Ralf
Klamt, Steffen
author_facet Erdrich, Philipp
Knoop, Henning
Steuer, Ralf
Klamt, Steffen
author_sort Erdrich, Philipp
collection PubMed
description BACKGROUND: Cyanobacteria are increasingly recognized as promising cell factories for the production of renewable biofuels and chemical feedstocks from sunlight, CO2, and water. However, most biotechnological applications of these organisms are still characterized by low yields. Increasing the production performance of cyanobacteria remains therefore a crucial step. RESULTS: In this work we use a stoichiometric network model of Synechocystis sp. PCC 6803 in combination with CASOP and minimal cut set analysis to systematically identify and characterize suitable strain design strategies for biofuel synthesis, specifically for ethanol and isobutanol. As a key result, improving upon other works, we demonstrate that higher-order knockout strategies exist in the model that lead to coupling of growth with high-yield biofuel synthesis under phototrophic conditions. Enumerating all potential knockout strategies (cut sets) reveals a unifying principle behind the identified strain designs, namely to reduce the ratio of ATP to NADPH produced by the photosynthetic electron transport chain. Accordingly, suitable knockout strategies seek to block cyclic and other alternate electron flows, such that ATP and NADPH are exclusively synthesized via the linear electron flow whose ATP/NADPH ratio is below that required for biomass synthesis. The products of interest are then utilized by the cell as sinks for reduction equivalents in excess. Importantly, the calculated intervention strategies do not rely on the assumption of optimal growth and they ensure that maintenance metabolism in the absence of light remains feasible. Our analyses furthermore suggest that a moderately increased ATP turnover, realized, for example, by ATP futile cycles or other ATP wasting mechanisms, represents a promising target to achieve increased biofuel yields. CONCLUSION: Our study reveals key principles of rational metabolic engineering strategies in cyanobacteria towards biofuel production. The results clearly show that achieving obligatory coupling of growth and product synthesis in photosynthetic bacteria requires fundamentally different intervention strategies compared to heterotrophic organisms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12934-014-0128-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-41804342014-10-14 Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling Erdrich, Philipp Knoop, Henning Steuer, Ralf Klamt, Steffen Microb Cell Fact Research BACKGROUND: Cyanobacteria are increasingly recognized as promising cell factories for the production of renewable biofuels and chemical feedstocks from sunlight, CO2, and water. However, most biotechnological applications of these organisms are still characterized by low yields. Increasing the production performance of cyanobacteria remains therefore a crucial step. RESULTS: In this work we use a stoichiometric network model of Synechocystis sp. PCC 6803 in combination with CASOP and minimal cut set analysis to systematically identify and characterize suitable strain design strategies for biofuel synthesis, specifically for ethanol and isobutanol. As a key result, improving upon other works, we demonstrate that higher-order knockout strategies exist in the model that lead to coupling of growth with high-yield biofuel synthesis under phototrophic conditions. Enumerating all potential knockout strategies (cut sets) reveals a unifying principle behind the identified strain designs, namely to reduce the ratio of ATP to NADPH produced by the photosynthetic electron transport chain. Accordingly, suitable knockout strategies seek to block cyclic and other alternate electron flows, such that ATP and NADPH are exclusively synthesized via the linear electron flow whose ATP/NADPH ratio is below that required for biomass synthesis. The products of interest are then utilized by the cell as sinks for reduction equivalents in excess. Importantly, the calculated intervention strategies do not rely on the assumption of optimal growth and they ensure that maintenance metabolism in the absence of light remains feasible. Our analyses furthermore suggest that a moderately increased ATP turnover, realized, for example, by ATP futile cycles or other ATP wasting mechanisms, represents a promising target to achieve increased biofuel yields. CONCLUSION: Our study reveals key principles of rational metabolic engineering strategies in cyanobacteria towards biofuel production. The results clearly show that achieving obligatory coupling of growth and product synthesis in photosynthetic bacteria requires fundamentally different intervention strategies compared to heterotrophic organisms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12934-014-0128-x) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-19 /pmc/articles/PMC4180434/ /pubmed/25323065 http://dx.doi.org/10.1186/s12934-014-0128-x Text en © Erdrich et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Erdrich, Philipp
Knoop, Henning
Steuer, Ralf
Klamt, Steffen
Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling
title Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling
title_full Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling
title_fullStr Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling
title_full_unstemmed Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling
title_short Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling
title_sort cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180434/
https://www.ncbi.nlm.nih.gov/pubmed/25323065
http://dx.doi.org/10.1186/s12934-014-0128-x
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