Toward Synthetic Biology Strategies for Adipic Acid
Production: An in Silico Tool for Combined Thermodynamics
and Stoichiometric Analysis of Metabolic Networks
posted on 2017-12-13, 00:00authored byNils J. H. Averesch, Verónica S. Martínez, Lars K. Nielsen, Jens O. Krömer
Adipic acid, a nylon-6,6
precursor, has recently gained popularity
in synthetic biology. Here, 16 different production routes to adipic
acid were evaluated using a novel tool for network-embedded thermodynamic
analysis of elementary flux modes. The tool distinguishes between
thermodynamically feasible and infeasible modes under determined metabolite
concentrations, allowing the thermodynamic feasibility of theoretical
yields to be assessed. Further, patterns that always caused infeasible
flux distributions were identified, which will aid the development
of tailored strain design. A review of cellular efflux mechanisms
revealed that significant accumulation of extracellular product is
only possible if coupled with ATP hydrolysis. A stoichiometric analysis
demonstrated that the maximum theoretical product carbon yield heavily
depends on the metabolic route, ranging from 32 to 99% on glucose
and/or palmitate in Escherichia coli and Saccharomyces cerevisiae metabolic
models. Equally important, metabolite concentrations appeared to be
thermodynamically restricted in several pathways. Consequently, the
number of thermodynamically feasible flux distributions was reduced,
in some cases even rendering whole pathways infeasible, highlighting
the importance of pathway choice. Only routes based on the shikimate
pathway were thermodynamically favorable over a large concentration
and pH range. The low pH capability of S. cerevisiae shifted the thermodynamic equilibrium of some pathways toward product
formation. One identified infeasible-pattern revealed
that the reversibility of the mitochondrial malate dehydrogenase contradicted
the current state of knowledge, which imposes a major restriction
on the metabolism of S. cerevisiae.
Finally, the evaluation of industrially relevant constraints revealed
that two shikimate pathway-based routes in E. coli were the most robust.