Multi-Layer, Composable and Programmable Biomolecular Circuits for Microbial Consortia

From Murray Wiki
Revision as of 05:22, 11 December 2023 by Murray (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

The long-term goal of this project is to create the mathematical, experimental, and application framework for recombinase-based biomolecular circuits, with a new focus on distributed operations in microbial consortia. Initial work has demonstrated the construction of a synthetic plasmid conjugation system that can pass plasmids to defined recipient strains within a population. In this project, we will build on those results and use plasmid conjugation as a means to implement multi-strain engineered microbial consortia with dynamic properties that are relevant for a range of modular, composable and programmable biological behaviors, including event logging, materials synthesis, programmable biofilms, and engineered living materials.

Current participants:

Additional participants:

Collaborators:

Past participants:

Objectives

Icb-multilayer.png

Our objective for this project is to demonstrate that by decoupling transfer blocking from plasmid cleavage, we can engineer programmable behavior that operates at the population-level layer. Then, by encoding variants of a given transcriptional circuit on different plasmid types, we will demonstrate the composability of circuit dynamics across multiple layers. Finally, we will construct strain-level circuit elements and compose them with circuit elements at the transcriptional and plasmid layers to demonstrate how multilayer systems lead to multiplicative scaling in the number of system configurations.

References

None to date


This research is supported by the Institute for Collaborative Biotechnologies through cooperative agreement W911NF-19-2-0026 from the U.S. Army Research Office. The content of the information on this page does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.

  • Agency: Army Research Office
  • Grant number: W911NF-19-2-0026
  • Start date: 1 Dec 2021
  • End date: 30 Nov 2023
  • Support: 1 graduate student, part-time technician
  • Reporting: Annual reports