Gene variant space for biosensor-based dynamic regulation

Abstract

Inside a cell, protein, production and biosensor pathways can be genetically engineered within a dynamic regulation architecture that provides robustness to cell factories. Here we investigated how the selection of gene variants and their associated expression efficiency and kinetic parameters can lead to a wide diversity of dynamic responses in terms of protein or metabolite production. Results show that there is a trade-off between gene expression efficiency and pathway performance, and it can be eventually related to the evolutionary fingerprint of each gene variant. Therefore, the organism source of gene variants is a factor that needs to be considered in the design of dynamic regulation for genetic circuits.