IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-25852-5.html
   My bibliography  Save this article

Directed evolution of rRNA improves translation kinetics and recombinant protein yield

Author

Listed:
  • Fan Liu

    (The Broad Institute of MIT & Harvard University)

  • Siniša Bratulić

    (The Broad Institute of MIT & Harvard University
    Chalmers University of Technology)

  • Alan Costello

    (The Broad Institute of MIT & Harvard University
    The Scripps Research Institute)

  • Teemu P. Miettinen

    (Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology)

  • Ahmed H. Badran

    (The Broad Institute of MIT & Harvard University
    The Scripps Research Institute)

Abstract

In bacteria, ribosome kinetics are considered rate-limiting for protein synthesis and cell growth. Enhanced ribosome kinetics may augment bacterial growth and biomanufacturing through improvements to overall protein yield, but whether this can be achieved by ribosome-specific modifications remains unknown. Here, we evolve 16S ribosomal RNAs (rRNAs) from Escherichia coli, Pseudomonas aeruginosa, and Vibrio cholerae towards enhanced protein synthesis rates. We find that rRNA sequence origin significantly impacted evolutionary trajectory and generated rRNA mutants with augmented protein synthesis rates in both natural and engineered contexts, including the incorporation of noncanonical amino acids. Moreover, discovered consensus mutations can be ported onto phylogenetically divergent rRNAs, imparting improved translational activities. Finally, we show that increased translation rates in vivo coincide with only moderately reduced translational fidelity, but do not enhance bacterial population growth. Together, these findings provide a versatile platform for development of unnatural ribosomal functions in vivo.

Suggested Citation

  • Fan Liu & Siniša Bratulić & Alan Costello & Teemu P. Miettinen & Ahmed H. Badran, 2021. "Directed evolution of rRNA improves translation kinetics and recombinant protein yield," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25852-5
    DOI: 10.1038/s41467-021-25852-5
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-25852-5
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-25852-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yekaterina Shulgina & Marena I. Trinidad & Conner J. Langeberg & Hunter Nisonoff & Seyone Chithrananda & Petr Skopintsev & Amos J. Nissley & Jaymin Patel & Ron S. Boger & Honglue Shi & Peter H. Yoon &, 2024. "RNA language models predict mutations that improve RNA function," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25852-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.