| 초록 |
Synthetic biology aims to design and construct a bacterial genome harboring a minimum number of genes that can maintain self-replicable life. However, the genome-reduced bacteria often showed impaired growth under laboratory conditions that could not be understood based on the removed gene functions. The unexpected phenotypes highlight our limited understanding of bacterial genomes. Here, we deployed adaptive laboratory evolution (ALE) to re-optimize growth performance of a genome-reduced strain. Multi-omic analysis of the evolved genome-reduced strain revealed both transcriptome- and translatome-wide remodeling that orchestrated re-optimized metabolism and growth. These results reveal that failure of prediction may not be associated with understanding individual gene products, but rather result from insufficient understanding of the genome-reduced strain’s systems biology. |
