Journal
METABOLIC ENGINEERING
Volume 8, Issue 6, Pages 628-638Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymben.2006.07.006
Keywords
elementary (flux) mode; metabolic network analysis; inverse metabolic engineering; biomass yield optimization
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Inverse metabolic engineering based on elementary mode analysis was applied to maximize the biomass yield of Escherchia coli MG1655. Elementary mode analysis was previously employed to identify among 1691 possible pathways for cell growth the most efficient pathway with maximum biomass yield. The metabolic network analysis predicted that deletion of only 6 genes reduces the number of possible elementary modes to the most efficient pathway. We have constructed a strain containing these gene deletions and we evaluated its properties in batch and in chemostat growth experiments. The results show that the theoretical predictions are closely matched by the properties of the designed strain. (c) 2006 Elsevier Inc. All rights reserved.
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