| Literature DB >> 35836020 |
Do Soon Kim1,2,3, Andrew Watkins4,5, Erik Bidstrup1,2,6, Joongoo Lee1,2,7, Ved Topkar4, Camila Kofman1,2, Kevin J Schwarz8, Yan Liu9, Grigore Pintilie10, Emily Roney1,2, Rhiju Das4,11, Michael C Jewett12,13.
Abstract
RNA-based macromolecular machines, such as the ribosome, have functional parts reliant on structural interactions spanning sequence-distant regions. These features limit evolutionary exploration of mutant libraries and confound three-dimensional structure-guided design. To address these challenges, we describe Evolink (evolution and linkage), a method that enables high-throughput evolution of sequence-distant regions in large macromolecular machines, and library design guided by computational RNA modeling to enable exploration of structurally stable designs. Using Evolink, we evolved a tethered ribosome with a 58% increased activity in orthogonal protein translation and a 97% improvement in doubling times in SQ171 cells compared to a previously developed tethered ribosome, and reveal new permissible sequences in a pair of ribosomal helices with previously explored biological function. The Evolink approach may enable enhanced engineering of macromolecular machines for new and improved functions for synthetic biology.Entities:
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Year: 2022 PMID: 35836020 DOI: 10.1038/s41589-022-01064-w
Source DB: PubMed Journal: Nat Chem Biol ISSN: 1552-4450 Impact factor: 16.174