ArticlePLoS computational biology2021
Designing microbial communities to maximize the thermodynamic driving force for the production of chemicals.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Cooperativity in microbial biotechnology: synthetic consortia as emerging metabolic engineering strategy for sustainable bioproduction.Frontiers in bioengineering and biotechnology · 2026Review
- Designing synthetic microbial communities for enhanced anaerobic waste treatment.Applied and environmental microbiology · 2025Review
- Article
- Implementation of aComputational and structural biotechnology journal · 2025Article
- Biotechnology systems engineering: preparing the next generation of bioengineers.Frontiers in systems biology · 2025Article
- DyMMM-LEAPS: An ML-based framework for modulating evenness and stability in synthetic microbial communities.Biophysical journal · 2024Article
- PyCoMo: a python package for community metabolic model creation and analysis.Bioinformatics (Oxford, England) · 2024Article
- Network-wide thermodynamic constraints shape NAD(P)H cofactor specificity of biochemical reactions.Nature communications · 2023Article
- A structured evaluation of genome-scale constraint-based modeling tools for microbial consortia.PLoS computational biology · 2023Article
- Optimal evaluation of energy yield and driving force in microbial metabolic pathway variants.PLoS computational biology · 2023Article
- Artificial microbial consortia for bioproduction processes.Engineering in life sciences · 2023Review
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2 authors.
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Abstract
Microbial communities have become a major research focus due to their importance for biogeochemical cycles, biomedicine and biotechnological applications. While some biotechnological applications, such as anaerobic digestion, make use of naturally arising microbial communities, the rational design of microbial consortia for bio-based production processes has recently gained much interest. One class of synthetic microbial consortia is based on specifically designed strains of one species. A common design principle for these consortia is based on division of labor, where the entire production pathway is divided between the different strains to reduce the metabolic burden caused by product synthesis. We first show that classical division of labor does not automatically reduce the metabolic burden when metabolic flux per biomass is analyzed. We then present ASTHERISC (Algorithmic Search of THERmodynamic advantages in Single-species Communities), a new computational approach for designing multi-strain communities of a single-species with the aim to divide a production pathway between different strains such that the thermodynamic driving force for product synthesis is maximized. ASTHERISC exploits the fact that compartmentalization of segments of a product pathway in different strains can circumvent thermodynamic bottlenecks arising when operation of one reaction requires a metabolite with high and operation of another reaction the same metabolite with low concentration. We implemented the ASTHERISC algorithm in a dedicated program package and applied it on E. coli core and genome-scale models with different settings, for example, regarding number of strains or demanded product yield. These calculations showed that, for each scenario, many target metabolites (products) exist where a multi-strain community can provide a thermodynamic advantage compared to a single strain solution. In some cases, a production with sufficiently high yield is thermodynamically only feasible with a community. In summary, the developed ASTHERISC approach provides a promising new principle for designing microbial communities for the bio-based production of chemicals.
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