Adaptive evolution of genomically recoded Escherichia coli

Timothy M. Wannier, Aditya M. Kunjapur, Daniel P. Rice, Michael J. McDonald, Michael M. Desai, George M. Church

Research output: Contribution to journalArticleResearchpeer-review

32 Citations (Scopus)

Abstract

Efforts are underway to construct several recoded genomes anticipated to exhibit multivirus resistance, enhanced nonstandard amino acid (nsAA) incorporation, and capability for synthetic biocontainment. Although our laboratory pioneered the first genomically recoded organism (Escherichia coli strain C321.δA), its fitness is far lower than that of its nonrecoded ancestor, particularly in defined media. This fitness deficit severely limits its utility for nsAA-linked applications requiring defined media, such as live cell imaging, metabolic engineering, and industrial-scale protein production. Here, we report adaptive evolution of C321.δA for more than 1, 000 generations in independent replicate populations grown in glucose minimal media. Evolved recoded populations significantly exceeded the growth rates of both the ancestral C321.δA and nonrecoded strains. We used next-generation sequencing to identify genes mutated in multiple independent populations, and we reconstructed individual alleles in ancestral strains via multiplex automatable genome engineering (MAGE) to quantify their effects on fitness. Several selective mutations occurred only in recoded evolved populations, some of which are associated with altering the translation apparatus in response to recoding, whereas others are not apparently associated with recoding, but instead correct for offtarget mutations that occurred during initial genome engineering. This report demonstrates that laboratory evolution can be applied after engineering of recoded genomes to streamline fitness recovery compared with application of additional targeted engineering strategies that may introduce further unintended mutations. In doing so, we provide the most comprehensive insight to date into the physiology of the commonly used C321.δA strain.

Original languageEnglish
Pages (from-to)3090-3095
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume115
Issue number12
DOIs
Publication statusPublished - 20 Mar 2018

Keywords

  • Adaptive evolution
  • Genetic code expansion
  • Nonstandard amino acids
  • Recoded genome
  • Synthetic biology

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