4.8 Article

Orthogonal translation enables heterologous ribosome engineering in E. coli

Journal

NATURE COMMUNICATIONS
Volume 12, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-020-20759-z

Keywords

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Funding

  1. National Institutes of Health Director's Early Independence Award [DP5-OD-024590]
  2. NASA Exobiology Program [NNH17ZDA001N-EXO]
  3. Broad Institute of MIT and Harvard

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The study explores the potential of engineering heterologous ribosomes in living cells, discovering that optimized rRNA processing and supplementation with cognate r-proteins can enhance their function. It also notes reduced subunit exchange with host ribosomes for some heterologous ribosomes. This work provides a general framework for heterologous ribosome engineering and expands the use of heterologous parts in synthetic biology.
The ribosome represents a promising avenue for synthetic biology, but its complexity and essentiality have hindered significant engineering efforts. Heterologous ribosomes, comprising rRNAs and r-proteins derived from different microorganisms, may offer opportunities for novel translational functions. Such heterologous ribosomes have previously been evaluated in E. coli via complementation of a genomic ribosome deficiency, but this method fails to guide the engineering of refractory ribosomes. Here, we implement orthogonal ribosome binding site (RBS):antiRBS pairs, in which engineered ribosomes are directed to researcher-defined transcripts, to inform requirements for heterologous ribosome functionality. We discover that optimized rRNA processing and supplementation with cognate r-proteins enhances heterologous ribosome function for rRNAs derived from organisms with >= 76.1% 16S rRNA identity to E. coli. Additionally, some heterologous ribosomes undergo reduced subunit exchange with E. coli-derived subunits. Cumulatively, this work provides a general framework for heterologous ribosome engineering in living cells. Synthetic biologists often co-opt heterologous parts to affect new functions in living cells, yet such an approach has rarely been extended to structural components of the ribosome. Here, the authors describe generalizable methods to express ribosomes from divergent microbes in E. coli and maximize their function.

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