Artificial Symmetry-Breaking for Morphogenetic Engineering Bacterial Colonies

ACS Synth Biol. 2017 Feb 17;6(2):256-265. doi: 10.1021/acssynbio.6b00149. Epub 2016 Nov 28.

Abstract

Morphogenetic engineering is an emerging field that explores the design and implementation of self-organized patterns, morphologies, and architectures in systems composed of multiple agents such as cells and swarm robots. Synthetic biology, on the other hand, aims to develop tools and formalisms that increase reproducibility, tractability, and efficiency in the engineering of biological systems. We seek to apply synthetic biology approaches to the engineering of morphologies in multicellular systems. Here, we describe the engineering of two mechanisms, symmetry-breaking and domain-specific cell regulation, as elementary functions for the prototyping of morphogenetic instructions in bacterial colonies. The former represents an artificial patterning mechanism based on plasmid segregation while the latter plays the role of artificial cell differentiation by spatial colocalization of ubiquitous and segregated components. This separation of patterning from actuation facilitates the design-build-test-improve engineering cycle. We created computational modules for CellModeller representing these basic functions and used it to guide the design process and explore the design space in silico. We applied these tools to encode spatially structured functions such as metabolic complementation, RNAPT7 gene expression, and CRISPRi/Cas9 regulation. Finally, as a proof of concept, we used CRISPRi/Cas technology to regulate cell growth by controlling methionine synthesis. These mechanisms start from single cells enabling the study of morphogenetic principles and the engineering of novel population scale structures from the bottom up.

Keywords: CRISPR; modeling; morphogenesis; morphogenetic engineering; synthetic biology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacteria / genetics*
  • CRISPR-Cas Systems / genetics
  • Computer Simulation
  • Gene Expression / genetics
  • Genetic Engineering / methods
  • Methionine / genetics
  • RNA / genetics
  • Reproducibility of Results
  • Synthetic Biology / methods

Substances

  • RNA
  • Methionine