Algorithms for ribosome traffic engineering and their potential in improving host cells' titer and growth rate.

ABSTRACT: mRNA translation is a fundamental cellular process consuming most of the intracellular energy; thus, it is under extensive evolutionary selection for optimization, and its efficiency can affect the host's growth rate. We describe a generic approach for improving the growth rate (fitness) of any organism by introducing synonymous mutations based on comprehensive computational models. The algorithms introduce silent mutations that may improve the allocation of ribosomes in the cells via the decreasing of their traffic jams during translation respectively. As a result, resources availability in the cell changes leading to improved growth-rate. We demonstrate experimentally the implementation of the method on Saccharomyces cerevisiae: we show that by introducing a few mutations in two computat

SUBMITTER: Zur H 

PROVIDER: S-EPMC7713304 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature