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Published on: May 23, 2020
Engineering consortia by polymeric microbial swarmbots
Lin Wang1, Xi Zhang1, Chenwang Tang1
1CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Synthetic microbial consortia can now be stabilized using a novel spatial segregation method. This approach, inspired by nature, overcomes nutrient competition challenges, enabling precise control over microbial communities for advanced applications.
Area of Science:
- Synthetic biology
- Microbial ecology
- Materials science
Background:
- Synthetic microbial consortia offer advanced problem-solving capabilities beyond monocultures.
- Nutrient competition often leads to the failure of co-cultivating synthetic microbial communities.
- Natural microbial communities exhibit spatial organization, allowing species coexistence.
Purpose of the Study:
- To develop an engineered spatial segregation method for assembling stable synthetic microbial consortia.
- To overcome the limitations of nutrient competition in co-cultivation.
- To enable precise control over microbial subpopulations and their interactions.
Main Methods:
- Development of microbial swarmbot consortia (MSBC) using polymeric microcapsules.
- Encapsulation of microbial subpopulations within microcapsules that allow molecular transport.
- Integration of synthetic biology principles with material science for consortia assembly.
Main Results:
- Successful assembly of stable synthetic consortia with engineered spatial segregation.
- Demonstration of flexibility and precision in controlling consortium composition and subpopulation distribution.
- Enabled modulation of division of labor and intercellular communication within consortia.
Conclusions:
- The MSBC method provides a robust strategy for assembling stable and controllable synthetic microbial communities.
- This approach overcomes key challenges in microbial co-cultivation, particularly nutrient competition.
- The findings lay the foundation for diverse applications in biomanufacturing and engineered photosynthesis.
