Evidence map›Paper›PMID 39048554›Full record

ArticleNature communications2024

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

Noor Radde, Genevieve A Mortensen, Diya Bhat, Shireen Shah, Joseph J Clements, Sean P Leonard, Matthew J McGuffie, Dennis M Mishler, Jeffrey E Barrick

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Why cellular computations challenge our design principles.Seminars in cell & developmental biology · 2025
    Review
  7. Survival and spread of engineeredApplied and environmental microbiology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Energy Aware Technology Mapping of Genetic Logic Circuits.bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Noor Radde *Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX, USA.
Genevieve A Mortensen *Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX, USA.ORCID 0009-0003-4370-3646
Diya BhatDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX, USA.ORCID 0009-0005-4357-894X
Shireen ShahDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX, USA.
Joseph J ClementsDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX, USA.
Sean P LeonardDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-5634-3254
Matthew J McGuffieDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX, USA.
Dennis M MishlerDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX, USA.
Jeffrey E BarrickDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX, USA. jbarrick@cm.utexas.edu.ORCID 0000-0003-0888-7358

Funding

The biophysical basis of translational selectionR01GM088344 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARRICK, JEFFREY EVAN, WILKE, CLAUS O · 2009 to 2023
$3.5M
National Science Foundation (NSF) DBI-0939454National Science Foundation (NSF) IOS-2103208National Science Foundation (NSF) MCB-2123996NIGMS NIH HHS R01 GM088344United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF-20-1-0195U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01GM088344
6 · The paper itself

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.

Indexed as

Escherichia coliGenetic EngineeringPlasmidsSynthetic BiologyModels, Genetic

Identifiers

PMID39048554
PMCPMC11269670

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.