ArticleNature communications2017
Growth-coupled overproduction is feasible for almost all metabolites in five major production organisms.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed.
- Growth-coupled microbial biosynthesis of the animal pigment xanthommatin.Nature biotechnology · 2026Article
- The potential of syngas as a central mediator for a carbon-agnostic circular economy.Nature communications · 2026Review
- Molecular adaptations and engineering of extremophiles for synthetic biology and biotechnological applications.Frontiers in microbiology · 2026Review
- Exploring single-cell biosynthetic noise and dynamics for enhanced betaxanthin production in Escherichia coli.Nature communications · 2025Article
- Model-guided chemical environment and metabolic network design to couple pathways with cell fitness.Metabolic engineering communications · 2025Article
- AI-powered high-throughput digital colony picker platform for sorting microbial strains by multi-modal phenotypes.Nature communications · 2025Article
- Balancing Cell Growth and Product Synthesis for Efficient Microbial Cell Factories.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- An automated high-throughput lighting system for screening photosynthetic microorganisms in plate-based formats.Communications biology · 2025Article
- Minimal cut sets in metabolic networks: from conceptual foundations to applications in metabolic engineering and biomedicine.Briefings in bioinformatics · 2025Review
- Addressing genome scale design tradeoffs in Pseudomonas putida for bioconversion of an aromatic carbon source.NPJ systems biology and applications · 2025Article
- Seven critical challenges in synthetic one-carbon assimilation and their potential solutions.FEMS microbiology reviews · 2025Review
- A fast method for extracting essential and synthetic lethality genes in GEM models.Bioinformatics advances · 2025Article
- Harnessing the optimization of enzyme catalytic rates in engineering of metabolic phenotypes.PLoS computational biology · 2024Article
- Ashbya gossypii as a versatile platform to produce sabinene from agro-industrial wastes.Fungal biology and biotechnology · 2024Article
- A growth-coupling strategy for improving the stability of terpenoid bioproduction in Escherichia coli.Microbial cell factories · 2024Article
- Automated in vivo enzyme engineering accelerates biocatalyst optimization.Nature communications · 2024Review
- Pseudomonas putida as a platform for medium-chain length α,ω-diol production: Opportunities and challenges.Microbial biotechnology · 2024Article
- FastKnock: an efficient next-generation approach to identify all knockout strategies for strain optimization.Microbial cell factories · 2024Article
- Computational analysis into the potential of azo dyes as a feedstock for actinorhodin biosynthesis in Pseudomonas putida.PloS one · 2024Article
- Pichia pastoris growth-coupled heme biosynthesis analysis using metabolic modelling.Scientific reports · 2023Article
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2 authors.
Funding
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Abstract
Computational modelling of metabolic networks has become an established procedure in the metabolic engineering of production strains. One key principle that is frequently used to guide the rational design of microbial cell factories is the stoichiometric coupling of growth and product synthesis, which makes production of the desired compound obligatory for growth. Here we show that the coupling of growth and production is feasible under appropriate conditions for almost all metabolites in genome-scale metabolic models of five major production organisms. These organisms comprise eukaryotes and prokaryotes as well as heterotrophic and photoautotrophic organisms, which shows that growth coupling as a strain design principle has a wide applicability. The feasibility of coupling is proven by calculating appropriate reaction knockouts, which enforce the coupling behaviour. The study presented here is the most comprehensive computational investigation of growth-coupled production so far and its results are of fundamental importance for rational metabolic engineering.
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