Control of density and composition in an engineered two-member bacterial community
Abstract
As studies continue to demonstrate how our health is related to the status of our various commensal microbiomes, synthetic biologists are developing tools and approaches to control these microbiomes and stabilize healthy states or remediate unhealthy ones. Building on previous work to control bacterial communities, we have constructed a synthetic two-member bacterial consortium engineered to reach population density and composition steady states set by inducer inputs. We detail a screening strategy to search functional parameter space in this high-complexity genetic circuit as well as initial testing of a functional two-member circuit. We demonstrate non-independent changes in total population density and composition steady states with a limited set of varying inducer concentrations. After a dilution to perturb the system from its steady state, density and composition steady states are not regained. Modeling and simulation suggest a need for increased degradation of intercellular signals to improve circuit performance. Future experiments will implement increased signal degradation and investigate the robustness of control of each characteristic to perturbations from steady states.
Additional Information
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. bioRxiv preprint first posted online May. 9, 2019. The authors would like to thank Chelsea Hu, Leopold Green, Andrey Shur and Mark Prator for discussion and assistance in performing computational and laboratory work. The authors R. D. M. and A. P. are supported by Defense Advanced Research Projects Agency (Agreement HR0011-17-2-0008). The content of the information does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.Attached Files
Submitted - 632174v1.full.pdf
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Additional details
- Eprint ID
- 101030
- Resolver ID
- CaltechAUTHORS:20200131-092300001
- Defense Advanced Research Projects Agency (DARPA)
- HR0011-17-2-0008
- Created
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2020-01-31Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
- Caltech groups
- Division of Biology and Biological Engineering (BBE)