Controlling microbial co-culture based on substrate pulsing can lead to stability through differential fitness advantages

PLoS Comput Biol. 2022 Oct 31;18(10):e1010674. doi: 10.1371/journal.pcbi.1010674. eCollection 2022 Oct.

Abstract

Microbial consortia are an exciting alternative for increasing the performances of bioprocesses for the production of complex metabolic products. However, the functional properties of microbial communities remain challenging to control, considering the complex interaction mechanisms occurring between co-cultured microbial species. Indeed, microbial communities are highly dynamic and can adapt to changing environmental conditions through complex mechanisms, such as phenotypic diversification. We focused on stabilizing a co-culture of Saccharomyces cerevisiae and Escherichia coli in continuous cultures. Our preliminary data pointed out that transient diauxic shifts could lead to stable co-culture by providing periodic fitness advantages to the yeast. Based on a computational toolbox called MONCKS (for MONod-type Co-culture Kinetic Simulation), we were able to predict the dynamics of diauxic shift for both species based on a cybernetic approach. This toolbox was further used to predict the frequency of diauxic shift to be applied to reach co-culture stability. These simulations were successfully reproduced experimentally in continuous bioreactors with glucose pulsing. Finally, based on a bet-hedging reporter, we observed that the yeast population exhibited an increased phenotypic diversification process in co-culture compared with mono-culture, suggesting that this mechanism could be the basis of the metabolic fitness of the yeast.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bioreactors
  • Coculture Techniques
  • Computer Simulation
  • Escherichia coli / metabolism
  • Glucose* / metabolism
  • Saccharomyces cerevisiae* / metabolism

Substances

  • Glucose

Grants and funding

This project was supported through different research grants. First, we would like to thank the Era-Cobiotech established based on the H2020 European framework for providing funding (Contibio and ComRaDes projects). Wallonia is also gratefully acknowledged for financial support. This measure is co-financed with tax funds on the basis of the budget passed by the Saxon state parliament. JAM is supported by a post-doctoral grant (Contibio project). FM is supported by a post-doctoral grant (Sunup project, supported by Wallonia). LH is supported by a FRIA PhD grant provided by the Belgian Fund for Scientific Research (FNRS). MD is supported by a PhD grant provided by the Belgian Fund for Scientific Research (FNRS) in the context of an Era-Net Aquatic Pollutant project (ARENA). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.