Adaptive evolution of genomically recoded Escherichia coli

• Published in: Proceedings of the National Academy of Sciences - PNAS 2018-03, Vol.115 (12), p.3090-3095
• Main Authors: Wannier, Timothy M., Kunjapur, Aditya M., Rice, Daniel P., McDonald, Michael J., Desai, Michael M., Church, George M.
• Format: Article
• Language: English
• Subjects: Acid resistance; adaptive evolution; Amino acids; Bacteria; BASIC BIOLOGICAL SCIENCES; Biological Sciences; Cell growth; E coli; Escherichia coli; Evolution; Evolution & development; Fitness; Gene expression; Gene sequencing; genetic code expansion; Genomes; Genomics; Growth rate; Metabolic engineering; Mutation; nonstandard amino acids; Population genetics; Populations; Protein engineering; Proteins; recoded genome; Reproductive fitness; Strains (organisms); synthetic biology
• ISSN: 0027-8424; 1091-6490
• DOI: 10.1073/pnas.1715530115

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 off-target 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.