Toward systems metabolic engineering in cyanobacteria: Opportunities and bottlenecks
Abstract
We recently assessed the metabolism of Synechocystis sp PCC6803 through a constraints-based reconstruction and analysis approach and identified its main metabolic properties. These include reduced metabolic robustness, in contrast to a high photosynthetic robustness driving the optimal autotrophic metabolism. Here, we address how these metabolic features affect biotechnological capabilities of this bacterium. The search for growth-coupled overproducer strains revealed that the carbon flux re-routing, but not the electron flux, is significantly more challenging under autotrophic conditions than under mixo- or heterotrophic conditions. We also found that the blocking of the light-driven metabolism was required for carbon flux re-routing under mixotrophic conditions. Overall, our analysis, which represents the first systematic evaluation of the biotechnological capabilities of a photosynthetic organism, paradoxically suggests that the light-driven metabolism itself and its unique metabolic features are the main bottlenecks in harnessing the biotechnological potential of Synechocystis.
- Authors:
-
- Univ. of California, San Diego, CA (United States). Dept. of Bioengineering
- Univ. of Iceland, Reykjavik (Iceland). Center for Systems Biology
- Publication Date:
- Research Org.:
- Stanford Univ., CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1628705
- Grant/Contract Number:
- SC0002009
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Bioengineered
- Additional Journal Information:
- Journal Volume: 4; Journal Issue: 3; Journal ID: ISSN 2165-5979
- Publisher:
- Taylor & Francis
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Biotechnology & Applied Microbiology; Synechocystis sp PCC6803; genome-scale modeling; COBRA methods; biosustainability; metabolic engineering; photosynthetic robustness
Citation Formats
Nogales, Juan, Gudmundsson, Steinn, and Thiele, Ines. Toward systems metabolic engineering in cyanobacteria: Opportunities and bottlenecks. United States: N. p., 2013.
Web. doi:10.4161/bioe.22792.
Nogales, Juan, Gudmundsson, Steinn, & Thiele, Ines. Toward systems metabolic engineering in cyanobacteria: Opportunities and bottlenecks. United States. https://doi.org/10.4161/bioe.22792
Nogales, Juan, Gudmundsson, Steinn, and Thiele, Ines. Wed .
"Toward systems metabolic engineering in cyanobacteria: Opportunities and bottlenecks". United States. https://doi.org/10.4161/bioe.22792. https://www.osti.gov/servlets/purl/1628705.
@article{osti_1628705,
title = {Toward systems metabolic engineering in cyanobacteria: Opportunities and bottlenecks},
author = {Nogales, Juan and Gudmundsson, Steinn and Thiele, Ines},
abstractNote = {We recently assessed the metabolism of Synechocystis sp PCC6803 through a constraints-based reconstruction and analysis approach and identified its main metabolic properties. These include reduced metabolic robustness, in contrast to a high photosynthetic robustness driving the optimal autotrophic metabolism. Here, we address how these metabolic features affect biotechnological capabilities of this bacterium. The search for growth-coupled overproducer strains revealed that the carbon flux re-routing, but not the electron flux, is significantly more challenging under autotrophic conditions than under mixo- or heterotrophic conditions. We also found that the blocking of the light-driven metabolism was required for carbon flux re-routing under mixotrophic conditions. Overall, our analysis, which represents the first systematic evaluation of the biotechnological capabilities of a photosynthetic organism, paradoxically suggests that the light-driven metabolism itself and its unique metabolic features are the main bottlenecks in harnessing the biotechnological potential of Synechocystis.},
doi = {10.4161/bioe.22792},
journal = {Bioengineered},
number = 3,
volume = 4,
place = {United States},
year = {Wed May 01 00:00:00 EDT 2013},
month = {Wed May 01 00:00:00 EDT 2013}
}
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