(568c) Expecting the Unexpected: Synthesis Pathway-Host Incompatibility Due to Metabolic Network Disruption
AIChE Annual Meeting
Wednesday, October 31, 2018 - 4:06pm to 4:24pm
In this work, we developed a computational method to assess the disruptive impact of synthesis pathways in microbial hosts. The steps in this predictive method are as follows. First, we predict potential byproducts that could be synthesized due to promiscuous activities of the heterologous (i.e. non-native) enzymes on native metabolites. We also predict byproducts resulting from activity of native host enzymes on non-native heterologous metabolites. To predict byproducts, we use PROXIMAL, a technique to predict metabolic derivatives for a query molecule based on an input set of enzymatic reactions. Next, host (E. coli) network is augmented with generated products and their associated reactions. The yield of the target product is then calculated based on the augmented host and compared to the target product yield without assumptions about disruption. As a test case, we demonstrate disruption during 3-hydroxypropanoic acid (3-HP) synthesis in E. coli. We report on 3-HP yield with and without disruption.
This work is novel as it is the first to examine the adverse effect of heterologous enzyme promiscuity on host metabolism and its consequences on biocatalysts. Our method serves as the first computational tool that can assist synthetic biologists to: (1) identify sources of unexpected byproducts, (2) assess the consequences of metabolic engineering on the host, and (3) quantify pathway-host incompatibility using metabolic network disruption. Outcomes from this work will aid in future studies to design robust systems with more predictable behaviors.