Piyush Nanda
Selection Phase Fermentation Strategy
“The dream of every cell is to become two cells”
-François Jacob
Problem
Mitigating climate change requires a rapid switch to biomanufacturing. Scalable biomanufacturing poses a dual challenge: i) effectively driving metabolic fluxes towards the formation of the product of interest (a metabolic engineering challenge) and ii) maintaining the engineered strains in their optimal bioproduction state during fermentation (a bioprocessing challenge). Natural selection complicates an engineer’s bioproduction objectives by favoring strains that grow faster throughout fermentation. Such growth dynamics lead to the enrichment of non-producing strains-fast dividing cheaters in the bioreactor, especially in a continuous reactor system (Rugbjerg et al. 2019, Nat. Biotech.). Addressing this challenge requires a new, innovative strategy.
Several strategies are proposed, including deep DNA sequencing for actively monitoring the rise of such mutants. Moreover, recent studies have proposed coaxing strains towards bioproduction by driving an essential gene’s expression proportionately to the product generated – a strategy that will penalize non-producing strains (Rugbjerg et al. 2020). Despite years of research, we have yet to develop an easier-to-implement but scalable strategy. I propose a simple approach to counter-select fast-growing mutants by transiently changing from a ‘production mode’ to a ‘selection mode’.
A risk-benefit tradeoff shapes growth rates. A cell can either allocate resources to reproduction-filling its cytosol with ribosomes and metabolic machinery to grow fast, or allocate a part of the resources towards accumulating proteins it might need during periods of starvation (Basan et al. 2020, Nature; Wu et al. 2022, PNAS). Studying the behavior of microbes in fluctuating environments has established tradeoffs between growth during feast and preparation for famine. Naturally occurring wild isolates of model yeast, Saccharomyces cerevisiae, show significant variations in the growth rate ( Chiara et al, 2022, Nat. Eco. and Evol.). Different strains were likely subjected to varying forms of environmental fluctuations. The presence of abundant glucose, like in a bioreactor, preferentially selects for populations with high growth rates. Meanwhile, periods of feasts followed by prolonged famines select strains that grow slowly but can survive well during famine.
Solution
I propose a new kind of fermentation strategy: Fluctuostat. This involves switching between a production phase (fermentation) and a selection phase (artificial famine induced by stressors). Fast-growing mutants will rise during the fermentation phase but will face a survival challenge during the selection phase, where slower-growing cell factories will get an evolutionary advantage. Of course, the selection phase won’t generate any bioproducts. Therefore, it is essential to estimate the duration of the selection phase so that effective productivity is maximized.
Current studies (Rugbjerg et al. 2019, Nat. Biotech.; Figure 1) reveal a pressing issue: within just 60-70 generations of growth from a single colony to a 200 m3 bioreactor, a significant fraction, i.e. 40% of the population, is overtaken by non-producing strains-a substantial productivity cost to the industry. Determining which stressors will be best suited for the existing biomanufacturing infrastructure is crucial. This strategy presents an unexplored approach to improving productivity by subjecting a population of microbial cell factories to a fluctuating environment.