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Researchers developed software and genetic parts to distribute complex genetic circuits across multiple cells, enabling powerful distributed biological computing. This breakthrough allows for programmable control of multicellular systems.

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Area of Science:

  • Synthetic Biology
  • Computational Biology
  • Genetics

Background:

  • Distributed computing offers powerful computational capabilities.
  • Cell-to-cell communication can enable complex computations.
  • Previous methods lacked tools for large-scale genetic circuit distribution.

Purpose of the Study:

  • To develop software and genetic tools for partitioning large genetic circuits across multiple cells.
  • To demonstrate the feasibility of distributed biological computing using a cryptographic algorithm.
  • To enable programmable control of multicellular biological processes.

Main Methods:

  • Design software for genetic circuit partitioning.
  • Development of genetic parts for implementing subcircuits.
  • Implementation of a 2-bit MD5 hashing algorithm across 66 Escherichia coli strains.
  • Experimental verification of signal integration, processing, and propagation.

Main Results:

  • Successfully partitioned a 110-logic-gate genetic circuit across 66 bacterial strains.
  • Introduced 1.1 Mb of recombinant DNA into bacterial genomes.
  • Verified correct function and signal propagation between engineered strains.
  • Demonstrated a functional 2-bit MD5 hash computation.

Conclusions:

  • The developed tools enable the creation of distributed genetic circuits.
  • This approach facilitates complex computations within multicellular systems.
  • Programmable control of multicellular biological processes is achievable.