Nature CommunicationsSynthetic BiologyPeer-reviewed journal article
Measuring the burden of hundreds of BioBricks defines an evolutionary limit on constructability in synthetic biology
Noor Radde, Genevieve A. MortenseniD, Diya BhatiD, Shireen Shah, Joseph J. Clements, Sean P. LeonardiD, Matthew J. McGuffieiD, Dennis M. MishleriD, Jeffrey E. BarrickiD
Abstract
Engineered DNA will slow the growth of a host cell if it redirects limiting resources or otherwise interferes with homeostasis. Populations of engineered cells can rapidly become dominated by "escape mutants" that evolve to alleviate this burden by inactivating the intended function. Synthetic biologists working with bacteria rely on genetic parts and devices encoded on plasmids, but the burden of different engineered DNA sequences is rarely characterized. We measured how 301 BioBricks on high-copy plasmids affected the growth rate of Escherichia coli. Of these, 59 (19.6%) negatively impacted growth. The burden imposed by engineered DNA is commonly associated with diverting ribosomes or other gene expression factors away from producing endogenous genes that are essential for cellular replication. In line with this expectation, BioBricks exhibiting burden were more likely to contain highly active constitutive promoters and strong ribosome binding sites. By monitoring how much each BioBrick reduced expression of a chromosomal GFP reporter, we found that the burden of most, but not all, BioBricks could be wholly explained by diversion of gene expression resources. 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" because escape mutants will take over during growth of a bacterial colony or small laboratory culture from a transformed cell. We made this model available as an interactive web tool for synthetic biology education and added our burden measurements to the iGEM Registry descriptions of each BioBrick.
- organism: E. coli
- assay: DNA methylation
- assay: CRISPR screen
- research focus: benchmarking
- approach: statistical model
- Citations
- 35
- FWCI
- 4.76
- Field percentile
- top 3%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Scaling between DNA and cell size governs bacterial growth homeostasis and resource allocation
Boyan Li, Songyuan Zhang, … Long Qian·bioRxiv·Nov 12, 2021
- Quantitative measurement of synthetic repression curves reveals design challenges for genetic circuit engineering under growth arrest
John P. Marken, Mark Prator, … Richard M. Murray·ACS Synthetic BiologyPeer-reviewed·May 13, 2026
- A Plasmid System with Tunable Copy Number
Miles V. Rouches, Yasu Xu, … Guillaume Lambert·Nature CommunicationsPeer-reviewed·Jul 7, 2022
- Quantifying cellular capacity to identify gene expression designs with reduced burden
Francesca Ceroni, Rhys J R Algar, … Tom Ellis·bioRxiv·Dec 22, 2014
- Resource usage and gene circuit performance characterization in a cell-free ?breadboard?
Dan Siegal-Gaskins, Zoltan A. Tuza, … Richard M. Murray·bioRxiv·Mar 9, 2014
- Growth defects and loss-of-function in synthetic gene circuits
Evangelos-Marios Nikolados, Andrea Y. Weiße, … Diego A. Oyarzún·ACS Synthetic BiologyPeer-reviewed·May 22, 2019