Published November 10, 2022 | Published + Supplemental Material
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Integrase-mediated differentiation circuits improve evolutionary stability of burdensome and toxic functions in E. coli

Abstract

Advances in synthetic biology, bioengineering, and computation allow us to rapidly and reliably program cells with increasingly complex and useful functions. However, because the functions we engineer cells to perform are typically burdensome to cell growth, they can be rapidly lost due to the processes of mutation and natural selection. Here, we show that a strategy of terminal differentiation improves the evolutionary stability of burdensome functions in a general manner by realizing a reproductive and metabolic division of labor. To implement this strategy, we develop a genetic differentiation circuit in Escherichia coli using unidirectional integrase-recombination. With terminal differentiation, differentiated cells uniquely express burdensome functions driven by the orthogonal T7 RNA polymerase, but their capacity to proliferate is limited to prevent the propagation of advantageous loss-of-function mutations that inevitably occur. We demonstrate computationally and experimentally that terminal differentiation increases duration and yield of high-burden expression and that its evolutionary stability can be improved with strategic redundancy. Further, we show this strategy can even be applied to toxic functions. Overall, this study provides an effective, generalizable approach for protecting burdensome engineered functions from evolutionary degradation.

Additional Information

© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The authors would like to thank the Sim and Liu Labs at the University of California Irvine for the use of lab space and equipment; Andrey Shur and Gordon Rix for help with MinION sequencing; Justin Bois, Andy Halleran, Anandh Swaminathan, and Andrey Shur for productive conversations; and Prof. Chang Liu, John Marken, and Gordon Rix for providing comments on the manuscript. NahRAM,, LasRAM, and LacIAM,, and their corresponding evolved promoters PSalTTC, PLasAM, and PTac were provided by Adam Meyer28. The CIDAR MoClo Parts Kit, which includes various promoter, RBS, CDS, and terminator parts used in the constructs described, was provided by Douglas Densmore (Addgene kit 1000000059). This research was supported by the Army Research Office (ARO) through grants W911NF-19-2-0026 and W911NF-09-D-0001. Author contributions. R.W. and R.M. conceived the presented idea; R.W. cloned all strains and plasmids, planned and carried out all experiments, developed the mathematical models, ran the simulations, analyzed the data, and wrote the manuscript with input and guidance from R.M. Data availability The sequences of all plasmids have been deposited in Genbank: pRW01 (OP654158), pRW02 (OP654159), pRW03 (OP654160), pRW04 (OP654161), pRW05 (OP654162), pRW06 (OP654163), pRW07 (OP654164), pRW08 (OP654165), pRW09 (OP654166), pRW10 (OP654167), pRW11 (OP654168), pRW12 (OP654169), and pRW13 (OP654170). The de novo assembled genomic sequences of strains eRWnaive1X (SAMN31276766), eRWnaive2X (SAMN31276767), eRWdiff1X (SAMN31276768), and eRWdiff2X (SAMN31276769) are available on NCBI, and the sequences of each genomic integration is available in Supplementary Data. The sequencing data described in the text and Supplementary Fig. is summarized in Supplementary Data. Primer sequences are available in Supplementary Data. Source data are provided with this paper. Code availability. All code for running, analyzing, and plotting simulations are available on GitHub [https://github.com/rlwillia/terminal-differentiation-for-evolutionary-stability] or Zenodo [10.5281/zenodo.7213995].

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Created:
August 22, 2023
Modified:
December 22, 2023