The effects of genetic background on the evolution of antibiotic resistance and its fitness costs

Antibiotic resistance is a growing public-health concern. Efforts to control the emergence and spread of resistance would benefit from an improved ability to forecast when and how it will evolve. To predict the evolution of resistance with accuracy, we must understand and integrate information about many factors, including a bacterium's evolutionary history. This dissertation centers on the effects of genetic background on the evolution of phenotypic resistance, its genetic basis, and its fitness costs. To address these issues, I used Escherichia coli strains from the long-term evolution experiment (LTEE) that independently evolved for multiple decades in an environment without antibiotics.First, I examined how readily these LTEE strains could overcome prior losses of intrinsic resistance through subsequent evolution when challenged with antibiotics. Second, I investigated whether lineages founded from different genotypes take parallel or divergent mutational paths to achieve increased resistance. Third, I tested whether fitness costs of resistance mutations are constant across different genetic backgrounds. In these studies, I focused attention on the interplay between repeatability and contingency in the evolutionary process. My findings demonstrate that genetic background can influence both the phenotypic and genotypic evolution of resistance and its associated fitness costs. I conclude this dissertation with a broader discussion about these and other factors that can influence the evolution of antibiotic resistance, and their clinical and public-health implications.