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Dynamic allocation of orthogonal ribosomes facilitates uncoupling of co-expressed genes

Author

Listed:
  • Alexander P. S. Darlington

    (University of Warwick)

  • Juhyun Kim

    (University of Surrey)

  • José I. Jiménez

    (University of Surrey)

  • Declan G. Bates

    (University of Warwick)

Abstract

Introduction of synthetic circuits into microbes creates competition between circuit and host genes for shared cellular resources, such as ribosomes. This can lead to the emergence of unwanted coupling between the expression of different circuit genes, complicating the design process and potentially leading to circuit failure. By expressing a synthetic 16S rRNA with altered specificity, we can partition the ribosome pool into host-specific and circuit-specific activities. We show mathematically and experimentally that the effects of resource competition can be alleviated by targeting genes to different ribosomal pools. This division of labour can be used to increase flux through a metabolic pathway. We develop a model of cell physiology which is able to capture these observations and use it to design a dynamic resource allocation controller. When implemented, this controller acts to decouple genes by increasing orthogonal ribosome production as the demand for translational resources by a synthetic circuit increases.

Suggested Citation

  • Alexander P. S. Darlington & Juhyun Kim & José I. Jiménez & Declan G. Bates, 2018. "Dynamic allocation of orthogonal ribosomes facilitates uncoupling of co-expressed genes," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-02898-6
    DOI: 10.1038/s41467-018-02898-6
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    Cited by:

    1. Kirill Sechkar & Harrison Steel & Giansimone Perrino & Guy-Bart Stan, 2024. "A coarse-grained bacterial cell model for resource-aware analysis and design of synthetic gene circuits," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Andras Gyorgy, 2023. "Competition and evolutionary selection among core regulatory motifs in gene expression control," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Brian D. Huang & Dowan Kim & Yongjoon Yu & Corey J. Wilson, 2024. "Engineering intelligent chassis cells via recombinase-based MEMORY circuits," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    4. Carlos Barajas & Hsin-Ho Huang & Jesse Gibson & Luis Sandoval & Domitilla Vecchio, 2022. "Feedforward growth rate control mitigates gene activation burden," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

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