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Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways

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dc.contributor Háskóli Íslands
dc.contributor University of Iceland
dc.contributor.author Vavitsas, Konstantinos
dc.contributor.author Rue, Emil Østergaard
dc.contributor.author Stefánsdóttir, Lára Kristín
dc.contributor.author Gnanasekaran, Thiyagarajan
dc.contributor.author Blennow, Andreas
dc.contributor.author Crocoll, Christoph
dc.contributor.author Guðmundsson, Steinn
dc.contributor.author Jensen, Poul Erik
dc.date.accessioned 2017-10-10T13:23:11Z
dc.date.available 2017-10-10T13:23:11Z
dc.date.issued 2017-08-15
dc.identifier.citation Vavitsas, K., Rue, E. Ø., Stefánsdóttir, L. K., Gnanasekaran, T., Blennow, A., Crocoll, C., . . . Jensen, P. E. (2017). Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways. Microbial Cell Factories, 16(1), 140. doi:10.1186/s12934-017-0757-y
dc.identifier.issn 1475-2859
dc.identifier.uri https://hdl.handle.net/20.500.11815/431
dc.description.abstract Background There are an increasing number of studies regarding genetic manipulation of cyanobacteria to produce commercially interesting compounds. The majority of these works study the expression and optimization of a selected heterologous pathway, largely ignoring the wholeness and complexity of cellular metabolism. Regulation and response mechanisms are largely unknown, and even the metabolic pathways themselves are not fully elucidated. This poses a clear limitation in exploiting the rich biosynthetic potential of cyanobacteria. Results In this work, we focused on the production of two different compounds, the cyanogenic glucoside dhurrin and the diterpenoid 13R-manoyl oxide in Synechocystis PCC 6803. We used genome-scale metabolic modelling to study fluxes in individual reactions and pathways, and we determined the concentrations of key metabolites, such as amino acids, carotenoids, and chlorophylls. This allowed us to identify metabolic crosstalk between the native and the introduced metabolic pathways. Most results and simulations highlight the metabolic robustness of cyanobacteria, suggesting that the host organism tends to keep metabolic fluxes and metabolite concentrations steady, counteracting the effects of the heterologous pathway. However, the amino acid concentrations of the dhurrin-producing strain show an unexpected profile, where the perturbation levels were high in seemingly unrelated metabolites. Conclusions There is a wealth of information that can be derived by combining targeted metabolite identification and computer modelling as a frame of understanding. Here we present an example of how strain engineering approaches can be coupled to ‘traditional’ metabolic engineering with systems biology, resulting in novel and more efficient manipulation strategies.
dc.description.sponsorship The work was financially supported by: (1) Copenhagen Plant Science Centre, (2) “Plant Power: Light-Driven Synthesis of Complex Terpenoids Using Cytochromes P450” (12-131834) funded by Innovation Fund Denmark (previously the Danish Council for Strategic Research), (3) from the Novo Nordisk Foundation (Sustainable production of forskolin, a high-value diterpenoid, NNF13OC0005685), (4) the VILLUM Foundation (Light-driven biosynthesis: Improving photosynthesis by designing and exploring novel electron transfer pathways, Project No. 13363), (5) the COST Action ES1408 European network for algal-bioproducts (EUALGAE), (6) Danish National Research Foundation (DNRF) grant99; and (7) the University of Iceland Research Fund.
dc.format.extent 140
dc.language.iso en
dc.publisher Springer Nature
dc.relation.ispartofseries Microbial Cell Factories;16(1)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Cyanobacteria
dc.subject Metabolism
dc.subject Terpenoids
dc.subject Amino acids
dc.subject Metabolic modelling
dc.subject Blágrænþörungar
dc.subject Efnaskipti
dc.subject Amínósýrur
dc.title Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways
dc.type info:eu-repo/semantics/article
dcterms.license This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
dc.description.version Peer Reviewed
dc.identifier.journal Microbial Cell Factorie
dc.identifier.doi 10.1186/s12934-017-0757-y
dc.relation.url http://link.springer.com/content/pdf/10.1186/s12934-017-0757-y.pdf
dc.contributor.department Rannsóknarsetur í kerfislíffræði (HÍ)
dc.contributor.department Center for Systems Biology (UI)
dc.contributor.school Verkfræði- og náttúruvísindasvið (HÍ)
dc.contributor.school School of Engineering and Natural Sciences (UI)


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