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Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways

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...

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Autores principales: Vavitsas, Konstantinos, Rue, Emil Østergaard, Stefánsdóttir, Lára Kristín, Gnanasekaran, Thiyagarajan, Blennow, Andreas, Crocoll, Christoph, Gudmundsson, Steinn, Jensen, Poul Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556357/
https://www.ncbi.nlm.nih.gov/pubmed/28806958
http://dx.doi.org/10.1186/s12934-017-0757-y
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author Vavitsas, Konstantinos
Rue, Emil Østergaard
Stefánsdóttir, Lára Kristín
Gnanasekaran, Thiyagarajan
Blennow, Andreas
Crocoll, Christoph
Gudmundsson, Steinn
Jensen, Poul Erik
author_facet Vavitsas, Konstantinos
Rue, Emil Østergaard
Stefánsdóttir, Lára Kristín
Gnanasekaran, Thiyagarajan
Blennow, Andreas
Crocoll, Christoph
Gudmundsson, Steinn
Jensen, Poul Erik
author_sort Vavitsas, Konstantinos
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12934-017-0757-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-55563572017-08-16 Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways Vavitsas, Konstantinos Rue, Emil Østergaard Stefánsdóttir, Lára Kristín Gnanasekaran, Thiyagarajan Blennow, Andreas Crocoll, Christoph Gudmundsson, Steinn Jensen, Poul Erik Microb Cell Fact Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12934-017-0757-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-15 /pmc/articles/PMC5556357/ /pubmed/28806958 http://dx.doi.org/10.1186/s12934-017-0757-y Text en © The Author(s) 2017 Open AccessThis 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.
spellingShingle Research
Vavitsas, Konstantinos
Rue, Emil Østergaard
Stefánsdóttir, Lára Kristín
Gnanasekaran, Thiyagarajan
Blennow, Andreas
Crocoll, Christoph
Gudmundsson, Steinn
Jensen, Poul Erik
Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways
title Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways
title_full Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways
title_fullStr Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways
title_full_unstemmed Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways
title_short Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways
title_sort responses of synechocystis sp. pcc 6803 to heterologous biosynthetic pathways
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556357/
https://www.ncbi.nlm.nih.gov/pubmed/28806958
http://dx.doi.org/10.1186/s12934-017-0757-y
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