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Measuring the burden of hundreds of BioBricks defines an evolutionary limit on constructability in synthetic biology

Author

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  • Noor Radde

    (The University of Texas at Austin)

  • Genevieve A. Mortensen

    (The University of Texas at Austin)

  • Diya Bhat

    (The University of Texas at Austin)

  • Shireen Shah

    (The University of Texas at Austin)

  • Joseph J. Clements

    (The University of Texas at Austin)

  • Sean P. Leonard

    (The University of Texas at Austin)

  • Matthew J. McGuffie

    (The University of Texas at Austin)

  • Dennis M. Mishler

    (The University of Texas at Austin
    The University of Texas at Austin)

  • Jeffrey E. Barrick

    (The University of Texas at Austin)

Abstract

Engineered DNA will slow the growth of a host cell if it redirects limiting resources or otherwise interferes with homeostasis. Escape mutants that alleviate this burden can rapidly evolve and take over cell populations, making genetic engineering less reliable and predictable. Synthetic biologists often use genetic parts encoded on plasmids, but their burden is rarely characterized. We measured how 301 BioBrick plasmids affected Escherichia coli growth and found that 59 (19.6%) were burdensome, primarily because they depleted the limited gene expression resources of host cells. Overall, no BioBricks reduced the growth rate of E. coli by >45%, which agreed with a population genetic model that predicts such plasmids should be unclonable. We made this model available online for education ( https://barricklab.org/burden-model ) and added our burden measurements to the iGEM Registry. Our results establish a fundamental limit on what DNA constructs and genetic modifications can be successfully engineered into cells.

Suggested Citation

  • Noor Radde & Genevieve A. Mortensen & Diya Bhat & Shireen Shah & Joseph J. Clements & Sean P. Leonard & Matthew J. McGuffie & Dennis M. Mishler & Jeffrey E. Barrick, 2024. "Measuring the burden of hundreds of BioBricks defines an evolutionary limit on constructability in synthetic biology," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50639-9
    DOI: 10.1038/s41467-024-50639-9
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