Enzyme-Constrained Models and Omics Analysis of Streptomyces coelicolor Reveal Metabolic Changes that Enhance Heterologous Production

Summary: Many biosynthetic gene clusters (BGCs) require heterologous expression to realize their genetic potential, including silent and metagenomic BGCs. Although the engineered Streptomyces coelicolor M1152 is a widely used host for heterologous expression of BGCs, a systemic understanding of how...

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Main Authors: Snorre Sulheim, Tjaša Kumelj, Dino van Dissel, Ali Salehzadeh-Yazdi, Chao Du, Gilles P. van Wezel, Kay Nieselt, Eivind Almaas, Alexander Wentzel, Eduard J. Kerkhoven
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:iScience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004220307173
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spelling doaj-f41af98888e14fc2be2e920391988f962020-11-25T01:38:26ZengElsevieriScience2589-00422020-09-01239101525Enzyme-Constrained Models and Omics Analysis of Streptomyces coelicolor Reveal Metabolic Changes that Enhance Heterologous ProductionSnorre Sulheim0Tjaša Kumelj1Dino van Dissel2Ali Salehzadeh-Yazdi3Chao Du4Gilles P. van Wezel5Kay Nieselt6Eivind Almaas7Alexander Wentzel8Eduard J. Kerkhoven9Department of Biotechnology and Nanomedicine, SINTEF Industry, 7034 Trondheim, Norway; Department of Biotechnology and Food Science, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, NorwayDepartment of Biotechnology and Food Science, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, NorwayDepartment of Biotechnology and Nanomedicine, SINTEF Industry, 7034 Trondheim, NorwayDepartment of Systems Biology and Bioinformatics, Faculty of Computer Science and Electrical Engineering, University of Rostock, 18057 Rostock, GermanyMicrobial Biotechnology, Institute of Biology, Leiden University, 2300 Leiden, the NetherlandsMicrobial Biotechnology, Institute of Biology, Leiden University, 2300 Leiden, the NetherlandsIntegrative Transcriptomics, Center for Bioinformatics, University of Tübingen, 72070 Tübingen, GermanyDepartment of Biotechnology and Food Science, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, Norway; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and General Practice, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, NorwayDepartment of Biotechnology and Nanomedicine, SINTEF Industry, 7034 Trondheim, NorwaySystems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden; Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, 412 96 Gothenburg, Sweden; Corresponding authorSummary: Many biosynthetic gene clusters (BGCs) require heterologous expression to realize their genetic potential, including silent and metagenomic BGCs. Although the engineered Streptomyces coelicolor M1152 is a widely used host for heterologous expression of BGCs, a systemic understanding of how its genetic modifications affect the metabolism is lacking and limiting further development. We performed a comparative analysis of M1152 and its ancestor M145, connecting information from proteomics, transcriptomics, and cultivation data into a comprehensive picture of the metabolic differences between these strains. Instrumental to this comparison was the application of an improved consensus genome-scale metabolic model (GEM) of S. coelicolor. Although many metabolic patterns are retained in M1152, we find that this strain suffers from oxidative stress, possibly caused by increased oxidative metabolism. Furthermore, precursor availability is likely not limiting polyketide production, implying that other strategies could be beneficial for further development of S. coelicolor for heterologous production of novel compounds.http://www.sciencedirect.com/science/article/pii/S2589004220307173Systems BiologyOmicsMetabolic Engineering
collection DOAJ
language English
format Article
sources DOAJ
author Snorre Sulheim
Tjaša Kumelj
Dino van Dissel
Ali Salehzadeh-Yazdi
Chao Du
Gilles P. van Wezel
Kay Nieselt
Eivind Almaas
Alexander Wentzel
Eduard J. Kerkhoven
spellingShingle Snorre Sulheim
Tjaša Kumelj
Dino van Dissel
Ali Salehzadeh-Yazdi
Chao Du
Gilles P. van Wezel
Kay Nieselt
Eivind Almaas
Alexander Wentzel
Eduard J. Kerkhoven
Enzyme-Constrained Models and Omics Analysis of Streptomyces coelicolor Reveal Metabolic Changes that Enhance Heterologous Production
iScience
Systems Biology
Omics
Metabolic Engineering
author_facet Snorre Sulheim
Tjaša Kumelj
Dino van Dissel
Ali Salehzadeh-Yazdi
Chao Du
Gilles P. van Wezel
Kay Nieselt
Eivind Almaas
Alexander Wentzel
Eduard J. Kerkhoven
author_sort Snorre Sulheim
title Enzyme-Constrained Models and Omics Analysis of Streptomyces coelicolor Reveal Metabolic Changes that Enhance Heterologous Production
title_short Enzyme-Constrained Models and Omics Analysis of Streptomyces coelicolor Reveal Metabolic Changes that Enhance Heterologous Production
title_full Enzyme-Constrained Models and Omics Analysis of Streptomyces coelicolor Reveal Metabolic Changes that Enhance Heterologous Production
title_fullStr Enzyme-Constrained Models and Omics Analysis of Streptomyces coelicolor Reveal Metabolic Changes that Enhance Heterologous Production
title_full_unstemmed Enzyme-Constrained Models and Omics Analysis of Streptomyces coelicolor Reveal Metabolic Changes that Enhance Heterologous Production
title_sort enzyme-constrained models and omics analysis of streptomyces coelicolor reveal metabolic changes that enhance heterologous production
publisher Elsevier
series iScience
issn 2589-0042
publishDate 2020-09-01
description Summary: Many biosynthetic gene clusters (BGCs) require heterologous expression to realize their genetic potential, including silent and metagenomic BGCs. Although the engineered Streptomyces coelicolor M1152 is a widely used host for heterologous expression of BGCs, a systemic understanding of how its genetic modifications affect the metabolism is lacking and limiting further development. We performed a comparative analysis of M1152 and its ancestor M145, connecting information from proteomics, transcriptomics, and cultivation data into a comprehensive picture of the metabolic differences between these strains. Instrumental to this comparison was the application of an improved consensus genome-scale metabolic model (GEM) of S. coelicolor. Although many metabolic patterns are retained in M1152, we find that this strain suffers from oxidative stress, possibly caused by increased oxidative metabolism. Furthermore, precursor availability is likely not limiting polyketide production, implying that other strategies could be beneficial for further development of S. coelicolor for heterologous production of novel compounds.
topic Systems Biology
Omics
Metabolic Engineering
url http://www.sciencedirect.com/science/article/pii/S2589004220307173
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