Advanced continuous cultivation methods for systems microbiology

Adamberg, Kaarel, Valgepea, Kaspar and Vilu, Raivo (2015) Advanced continuous cultivation methods for systems microbiology. Microbiology, 161 9: 1707-1719. doi:10.1099/mic.0.000146


Author Adamberg, Kaarel
Valgepea, Kaspar
Vilu, Raivo
Title Advanced continuous cultivation methods for systems microbiology
Journal name Microbiology   Check publisher's open access policy
ISSN 1465-2080
1350-0872
Publication date 2015-09-01
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1099/mic.0.000146
Open Access Status Not yet assessed
Volume 161
Issue 9
Start page 1707
End page 1719
Total pages 13
Place of publication London, United Kingdom
Publisher The Microbiology Society
Language eng
Abstract Increasing the throughput of systems biology-based experimental characterization of in silico designed strains has great potential for accelerating the development of cell factories. For this, analysis of metabolism in the steady state is essential as only this enables the unequivocal definition of the physiological state of cells, which is needed for the complete description and in silico reconstruction of their phenotypes. In this review, we show that for a systems microbiology approach, high-resolution characterization of metabolism in the steady state – growth space analysis (GSA) – can be achieved by using advanced continuous cultivation methods termed changestats. In changestats, an environmental parameter is continuously changed at a constant rate within one experiment whilst maintaining cells in the physiological steady state similar to chemostats. This increases the resolution and throughput of GSA compared with chemostats, and, moreover, enables following of the dynamics of metabolism and detection of metabolic switch-points and optimal growth conditions. We also describe the concept, challenge and necessary criteria of the systematic analysis of steady-state metabolism. Finally, we propose that such systematic characterization of the steady-state growth space of cells using changestats has value not only for fundamental studies of metabolism, but also for systems biology-based metabolic engineering of cell factories.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collection: Australian Institute for Bioengineering and Nanotechnology Publications
 
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Created: Thu, 29 Mar 2018, 23:38:27 EST