ArticlePloS one2014
Adaptive evolution of synthetic cooperating communities improves growth performance.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 65 citations in OpenAlex.
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- Cooperativity in microbial biotechnology: synthetic consortia as emerging metabolic engineering strategy for sustainable bioproduction.Frontiers in bioengineering and biotechnology · 2026Review
- Strengthen or Weaken: Evolutionary Directions of Cross-Feeding After Formation.Environmental microbiology reports · 2025Review
- Competitive fitness of Staphylococcus aureus against nasal commensals depends on biotin biosynthesis and acquisition.The ISME journal · 2025Article
- The evolution of reduced facilitation in a four-species bacterial community.Evolution letters · 2024Article
- Enhanced metabolic entanglement emerges during the evolution of an interkingdom microbial community.Nature communications · 2024Article
- Discovery of novel amino acid production traits by evolution of synthetic co-cultures.Microbial cell factories · 2023Article
- A Two-Compartment Fermentation System to Quantify Strain-Specific Interactions in Microbial Co-Cultures.Bioengineering (Basel, Switzerland) · 2023Article
- Adaptive Laboratory Evolution of Microorganisms: Methodology and Application for Bioproduction.Microorganisms · 2022Review
- Assembling stable syntrophic Escherichia coli communities by comprehensively identifying beneficiaries of secreted goods.Cell systems · 2021Article
- Adaptive laboratory evolution of microbial co-cultures for improved metabolite secretion.Molecular systems biology · 2021Article
- Automated design of synthetic microbial communities.Nature communications · 2021Article
- Metabolic modelling approaches for describing and engineering microbial communities.Computational and structural biotechnology journal · 2021Review
- Towards a Systems Biology Approach to Understanding the Lichen Symbiosis: Opportunities and Challenges of Implementing Network Modelling.Frontiers in microbiology · 2021Review
- Binary Metabolic Phenotypes and Phenotype Diversity Metrics for the Functional Characterization of Microbial Communities.Frontiers in microbiology · 2021Article
- A mechanistic model of metabolic symbioses in microbes recapitulates experimental data and identifies a continuum of symbiotic interactions.Theory in biosciences = Theorie in den Biowissenschaften · 2020Article
- Modeling microbial cross-feeding at intermediate scale portrays community dynamics and species coexistence.PLoS computational biology · 2020Article
- The microbial exometabolome: ecological resource and architect of microbial communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Symbiotic interactions between organisms are important for human health and biotechnological applications. Microbial mutualism is a widespread phenomenon and is important in maintaining natural microbial communities. Although cooperative interactions are prevalent in nature, little is known about the processes that allow their initial establishment, govern population dynamics and affect evolutionary processes. To investigate cooperative interactions between bacteria, we constructed, characterized, and adaptively evolved a synthetic community comprised of leucine and lysine Escherichia coli auxotrophs. The co-culture can grow in glucose minimal medium only if the two auxotrophs exchange essential metabolites - lysine and leucine (or its precursors). Our experiments showed that a viable co-culture using these two auxotrophs could be established and adaptively evolved to increase growth rates (by ∼3 fold) and optical densities. While independently evolved co-cultures achieved similar improvements in growth, they took different evolutionary trajectories leading to different community compositions. Experiments with individual isolates from these evolved co-cultures showed that changes in both the leucine and lysine auxotrophs improved growth of the co-culture. Interestingly, while evolved isolates increased growth of co-cultures, they exhibited decreased growth in mono-culture (in the presence of leucine or lysine). A genome-scale metabolic model of the co-culture was also constructed and used to investigate the effects of amino acid (leucine or lysine) release and uptake rates on growth and composition of the co-culture. When the metabolic model was constrained by the estimated leucine and lysine release rates, the model predictions agreed well with experimental growth rates and composition measurements. While this study and others have focused on cooperative interactions amongst community members, the adaptive evolution of communities with other types of interactions (e.g., commensalism, ammensalism or parasitism) would also be of interest.
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