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Updated: Apr 22, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
Published on: July 14, 2015
Evolved sequence contexts for highly efficient amber suppression with noncanonical amino acids
Moritz Pott1, Moritz Johannes Schmidt, Daniel Summerer
1Department of Chemistry, Zukunftskolleg and Konstanz Research School Chemical Biology, University of Konstanz , Konstanz 78457, Germany.
Abstract:
The expansion of the genetic code with noncanonical amino acids (ncAA) enables the function of proteins to be tailored with high molecular precision. In this approach, the ncAA is charged to an orthogonal nonsense suppressor tRNA by an aminoacyl-tRNA-synthetase (aaRS) and incorporated into the target protein in vivo by suppression of nonsense codons in the mRNA during ribosomal translation. Compared to sense codon translation, this process occurs with reduced efficiency. However, it is still poorly understood, how the local sequence context of the nonsense codon affects suppression efficiency. Here, we report sequence contexts for highly efficient suppression of the widely used amber codon in E. coli for the orthogonal Methanocaldococcus jannaschii tRNA(Tyr)/TyrRS and Methanosarcina mazei tRNA(Pyl)/PylRS pairs. In vivo selections of sequence context libraries consisting of each two random codons directly up- and downstream of an amber codon afforded contexts with strong preferences for particular mRNA nucleotides and/or amino acids that markedly differed from preferences of contexts obtained in control selections with sense codons. The contexts provided high amber suppression efficiencies with little ncAA-dependence that were transferrable between proteins and resulted in protein expression levels of 70-110% compared to levels of control proteins without amber codon. These sequence contexts represent stable tags for robust and highly efficient incorporation of ncAA into proteins in standard E. coli strains and provide general design rules for the engineering of amber codons into target genes.
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