ArticleMicrobial cell factories2022
Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation.
Article in Microbial cell factories, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Enhanced Low-Temperature Corn Straw Degradation Using a Synthetic Microbial Mixture.Life (Basel, Switzerland) · 2026Article
- Division of labour enables Yarrowia lipolytica synthetic consortia to achieve higher growth rates from starch.Microbial cell factories · 2026Review
- Multicellular PID control for robust regulation of biological processes.Journal of the Royal Society, Interface · 2025Article
- Multiscale modelling of bioprocess dynamics and cellular growth.Microbial cell factories · 2024Article
- Enhancing plant growth promoting rhizobacterial activities through consortium exposure: A review.Frontiers in bioengineering and biotechnology · 2023Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundLow-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.
resultsHere, 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.
conclusionsWe 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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