期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 108, 期 4, 页码 1484-1489出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1012108108
关键词
antibiotic resistance; evolutionary innovation; molecular evolution; protein promiscuity; phenotype microarray
资金
- Maurice and Phyllis Paykel Trust
- Lottery Health Research Committee
- Auckland Medical Research Foundation
- Marsden Fund
Duplicated genes provide an important raw material for adaptive evolution. However, the relationship between gene duplication and the emergence of new biochemical functions is complicated, and it has been difficult to quantify the likelihood of evolving novelty in any systematic manner. Here, we describe a comprehensive search for artificially amplified genes that are able to impart new phenotypes on Escherichia coli, provided their expression is up-regulated. We used a high-throughput, library-on-library strategy to screen for resistance to antibiotics and toxins. Cells containing a complete E. coli ORF library were exposed to 237 toxin-containing environments. From 86 of these environments, we identified a total of 115 cases where overexpressed ORFs imparted improved growth. Of the overexpressed ORFs that we tested, most conferred small but reproducible increases in minimum inhibitory concentration (<= 16-fold) for their corresponding antibiotics. In many cases, proteins were acting promiscuously to impart resistance. In the absence of toxins, most strains bore no fitness cost associated with ORF overexpression. Our results show that even the genome of a nonpathogenic bacterium harbors a substantial reservoir of resistance genes, which can be readily accessed through overexpression mutations. During the growth of a population under selection, these mutations are most likely to be gene amplifications. Therefore, our work provides validation and biochemical insight into the innovation, amplification, and divergence model of gene evolution under continuous selection [Bergthorsson U, Andersson DI, Roth JR (2007) Proc Natl Acad Sci USA 104:17004-17009], and also illustrates the high frequency at which novel traits can evolve in bacterial populations.
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