A tRNA Modification-based strategy for Identifying amiNo acid Overproducers (AMINO)

Hao Guo, Ning Wang, Tingting Ding, Bo Zheng, Liwei Guo, Chaoyong Huang, Wuyuan Zhang, Lichao Sun, Xiaoyan Ma*, Yi Xin Huo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Amino acids have a multi-billion-dollar market with rising demand, prompting the development of high-performance microbial factories. However, a general screening strategy applicable to all proteinogenic and non-proteinogenic amino acids is still lacking. Modification of the critical structure of tRNA could decrease the aminoacylation level of tRNA catalyzed by aminoacyl-tRNA synthetases. Involved in a two-substrate sequential reaction, amino acids with increased concentration could elevate the reduced aminoacylation rate caused by specific tRNA modification. Here, we developed a selection system for overproducers of specific amino acids using corresponding engineered tRNAs and marker genes. As a proof-of-concept, overproducers of five amino acids such as L-tryptophan were screened out by growth-based and/or fluorescence-activated cell sorting (FACS)-based screening from random mutation libraries of Escherichia coli and Corynebacterium glutamicum, respectively. This study provided a universal strategy that could be applied to screen overproducers of proteinogenic and non-proteinogenic amino acids in amber-stop-codon-recoded or non-recoded hosts.

Original languageEnglish
Pages (from-to)11-25
Number of pages15
JournalMetabolic Engineering
Volume78
DOIs
Publication statusPublished - Jul 2023

Keywords

  • Amber stop codon
  • Amino acid overproducer
  • Codon expansion
  • High-throughput screening
  • tRNA modification

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