Long-term homeostasis in microbial consortia via auxotrophic cross-feeding
- Nicolas E Grandel 1, Amanda M Alexander 2,3, Xiao Peng 1, Caroline Palamountain 3, Razan N Alnahhas 3, Andrew J Hirning 3,4, Krešimir Josić 5,6,7,8, Matthew R Bennett 9,10,11
- Nicolas E Grandel 1, Amanda M Alexander 2,3, Xiao Peng 1
- 1Rice University, Graduate Program in Systems, Synthetic, Physical Biology, Houston, TX, USA.
- 2University of Houston, Department of Mathematics, Houston, TX, USA.
- 3Rice University, Department of Biosciences, Houston, TX, USA.
- 4Nikon Instruments, Melville, NY, USA.
- 5University of Houston, Department of Mathematics, Houston, TX, USA. kjosic@uh.edu.
- 6Rice University, Department of Biosciences, Houston, TX, USA. kjosic@uh.edu.
- 7Rice University, Rice Synthetic Biology Institute, Houston, TX, USA. kjosic@uh.edu.
- 8University of Houston, Department of Biology and Biochemistry, Houston, TX, USA. kjosic@uh.edu.
- 9Rice University, Department of Biosciences, Houston, TX, USA. matthew.bennett@rice.edu.
- 10Rice University, Rice Synthetic Biology Institute, Houston, TX, USA. matthew.bennett@rice.edu.
- 11Rice University, Department of Bioengineering, Houston, TX, USA. matthew.bennett@rice.edu.
- 0Rice University, Graduate Program in Systems, Synthetic, Physical Biology, Houston, TX, USA.
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View abstract on PubMed
Summary
This summary is machine-generated.We developed a simple cross-feeding method to precisely control synthetic microbial consortia proportions. This technique uses engineered E. coli strains and nutrient regulation, minimizing metabolic burden for robust biomanufacturing applications.
Area Of Science
- Synthetic biology
- Microbial ecology
- Metabolic engineering
Background
- Synthetic microbial consortia offer versatile applications in biomaterials, biomanufacturing, and biotherapeutics by dividing metabolic tasks.
- Current synthetic consortia often necessitate complex control strategies to maintain stable population proportions.
Purpose Of The Study
- To present a straightforward and efficient method for controlling the proportions of synthetic microbial consortia.
- To demonstrate precise regulation of consortia composition with minimal metabolic impact on constituent strains.
Main Methods
- Utilized mutually auxotrophic Escherichia coli strains with distinct essential gene deletions in a continuous co-culture system.
- Implemented cross-feeding of essential nutrients between strains to regulate individual growth rates and consortium proportions.
- Employed ordinary differential equations to model and predict the co-culture dynamics in response to nutrient availability.
Main Results
- Achieved precise control over consortia proportions through the exogenous addition of specific nutrients.
- Demonstrated that the cross-feeding strategy effectively regulates the growth rates of different microbial strains within the consortium.
- The developed mathematical model accurately predicted the co-culture behavior under varying nutrient conditions.
Conclusions
- The presented cross-feeding method offers a simple yet powerful tool for robust synthetic microbial consortia proportion control.
- This approach minimizes metabolic load on engineered strains, enhancing the stability and applicability of microbial consortia.
- The findings facilitate advancements in biomanufacturing and biotherapeutics through improved control of engineered microbial communities.
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