Literature DB >> 27212692

Characterization of physiological responses to 22 gene knockouts in Escherichia coli central carbon metabolism.

Christopher P Long1, Jacqueline E Gonzalez1, Nicholas R Sandoval1, Maciek R Antoniewicz2.   

Abstract

Understanding the impact of gene knockouts on cellular physiology, and metabolism in particular, is centrally important to quantitative systems biology and metabolic engineering. Here, we present a comprehensive physiological characterization of wild-type Escherichia coli and 22 knockouts of enzymes in the upper part of central carbon metabolism, including the PTS system, glycolysis, pentose phosphate pathway and Entner-Doudoroff pathway. Our results reveal significant metabolic changes that are affected by specific gene knockouts. Analysis of collective trends and correlations in the data using principal component analysis (PCA) provide new, and sometimes surprising, insights into E. coli physiology. Additionally, by comparing the data-to-model predictions from constraint-based approaches such as FBA, MOMA and RELATCH we demonstrate the important role of less well-understood kinetic and regulatory effects in central carbon metabolism.
Copyright © 2016 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  COBRA modeling; Cell physiology; Escherichia coli; Gene knockout; Metabolism

Mesh:

Substances:

Year:  2016        PMID: 27212692      PMCID: PMC5845446          DOI: 10.1016/j.ymben.2016.05.006

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


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