Programming functions within microbial consortia

Abstract

Microbial consortia hold great promise for applications in living materials, bioremediation,antifouling, and therapeutics. Current techniques for designing consortia typically involve 2-15species, far short of the hundreds of bacterial species that make up most naturally occurringconsortia. Communities that are too simple in composition are likely to suffer from a lack ofstability in real-world environments and less robust functional attributes, creating a need for newtechniques for designing highly complex (100+ member) communities and programming them tocarry out biochemical functions of interest.In this proposal, we will develop the foundational tools required to design and build communitiesof 100-200 species that carry out specific biochemical functions and are stable enough to betransplanted into real-world environments. In preliminary work, we have constructed a syntheticgut bacterial community of 119 species and shown that it is unexpectedly stable, both in vitro andin real-world environments. In Objective 1, we will explore the principles that underlie speciescentricprogramming, defining a complete set of parts (strains), using empirical data to build amodel ofhow carbon flows through the community, and creating a framework for constructingcommunities that carry out biochemical pathways ofinterest. In Objective 2, we will studypathway-centric programming by identifying a basis set of biochemical pathways, learning howthe pathway-host relationship dictates robustness and resilience of pathway function, andexploring the principles of endowing a community with a new biochemical function. Collectively,these objectives will make it possible to design and build communities at the 100+ strain scale thatare endowed with biochemical functions and function stably, predictably and robustly in varyingenvironments.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 24, 2024
Source ID
N000142412092

Entities

People

  • Michael A. Fischbach

Organizations

  • Office of Naval Research
  • Stanford University
  • United States Navy

Tags

Fields of Study

  • Biology

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Distributed Systems and Data Platform Development
  • Molecular and Cellular Biochemistry

Technology Areas

  • Biotechnology