Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation.

Microb Cell Fact

Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW72AZ, UK.

Published: June 2022

AI Article Synopsis

  • Low-cost sustainable feedstocks from plant or food waste are vital for biotechnologies but require multiple enzymes for breakdown, often leading to limitations in standard monoculture systems.
  • A two-strain consortium model was tested, where each strain specializes in different stages of substrate degradation, showing improved performance compared to traditional single-cell cultures once a certain expression threshold is exceeded.
  • Resource-aware whole-cell models can predict when using division of labor (DOL) is advantageous, helping inform design choices for efficient degradation of complex substrates like starch.

Article Abstract

Background: Low-cost sustainable feedstocks are essential for commercially viable biotechnologies. These feedstocks, often derived from plant or food waste, contain a multitude of different complex biomolecules which require multiple enzymes to hydrolyse and metabolise. Current standard biotechnology uses monocultures in which a single host expresses all the proteins required for the consolidated bioprocess. However, these hosts have limited capacity for expressing proteins before growth is impacted. This limitation may be overcome by utilising division of labour (DOL) in a consortium, where each member expresses a single protein of a longer degradation pathway.

Results: Here, we model a two-strain consortium, with one strain expressing an endohydrolase and a second strain expressing an exohydrolase, for cooperative degradation of a complex substrate. Our results suggest that there is a balance between increasing expression to enhance degradation versus the burden that higher expression causes. Once a threshold of burden is reached, the consortium will consistently perform better than an equivalent single-cell monoculture.

Conclusions: We demonstrate that resource-aware whole-cell models can be used to predict the benefits and limitations of using consortia systems to overcome burden. Our model predicts the region of expression where DOL would be beneficial for growth on starch, which will assist in making informed design choices for this, and other, complex-substrate degradation pathways.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195437PMC
http://dx.doi.org/10.1186/s12934-022-01842-0DOI Listing

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