Next Article in Journal
Asymmetrical Flow Field-Flow Fractionation on Virus and Virus-Like Particle Applications
Next Article in Special Issue
Identification of A Novel Arsenic Resistance Transposon Nested in A Mercury Resistance Transposon of Bacillus sp. MB24
Previous Article in Journal
Enhanced Production of Fatty Acid Ethyl Ester with Engineered fabHDG Operon in Escherichia coli
Previous Article in Special Issue
Deciphering the Structural Basis of High Thermostability of Dehalogenase from Psychrophilic Bacterium Marinobacter sp. ELB17
Open AccessArticle

Computational Modelling of Metabolic Burden and Substrate Toxicity in Escherichia coli Carrying a Synthetic Metabolic Pathway

1
Systems Biology Laboratory, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00 Brno, Czech Republic
2
Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Bld. A13, 625 00 Brno, Czech Republic
3
Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Bld. A25, 625 00 Brno, Czech Republic
*
Authors to whom correspondence should be addressed.
Microorganisms 2019, 7(11), 553; https://doi.org/10.3390/microorganisms7110553
Received: 30 September 2019 / Revised: 5 November 2019 / Accepted: 7 November 2019 / Published: 11 November 2019
(This article belongs to the Special Issue Microbial Degradation of Xenobiotics)
In our previous work, we designed and implemented a synthetic metabolic pathway for 1,2,3-trichloropropane (TCP) biodegradation in Escherichia coli. Significant effects of metabolic burden and toxicity exacerbation were observed on single cell and population levels. Deeper understanding of mechanisms underlying these effects is extremely important for metabolic engineering of efficient microbial cell factories for biotechnological processes. In this paper, we present a novel mathematical model of the pathway. The model addresses for the first time the combined effects of toxicity exacerbation and metabolic burden in the context of bacterial population growth. The model is calibrated with respect to the real data obtained with our original synthetically modified E. coli strain. Using the model, we explore the dynamics of the population growth along with the outcome of the TCP biodegradation pathway considering the toxicity exacerbation and metabolic burden. On the methodological side, we introduce a unique computational workflow utilising algorithmic methods of computer science for the particular modelling problem. View Full-Text
Keywords: biodegradation; computational modelling; population growth; metabolic burden; environmental pollutants biodegradation; computational modelling; population growth; metabolic burden; environmental pollutants
Show Figures

Figure 1

MDPI and ACS Style

Demko, M.; Chrást, L.; Dvořák, P.; Damborský, J.; Šafránek, D. Computational Modelling of Metabolic Burden and Substrate Toxicity in Escherichia coli Carrying a Synthetic Metabolic Pathway. Microorganisms 2019, 7, 553.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop