Ensuring Host Fitness via Ramp Engineering

We describe a generic approach for improving the fitness of any host/organism by introducing silent/synonymous mutations based on whole cell computational models. The algorithm introduces silent mutations that improve the allocation of resources (e.g. ribosomes or RNAP) in the cells via the elimination of traffic jams (e.g. during translation or transcription). As a result, more resources are available for the cell promoting improved fitness and growth-rate.

The approach can be employed for improving the growth rate/fitness of any organism used in biotechnology, medicine, and agriculture.