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Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment with Escherichia coli
Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment with Escherichia coli
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Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment with Escherichia coli
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Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment with Escherichia coli
Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment with Escherichia coli

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Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment with Escherichia coli
Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment with Escherichia coli
Journal Article

Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment with Escherichia coli

2021
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Overview
Antibiotic resistance is a growing health concern. Efforts to control resistance would benefit from an improved ability to forecast when and how it will evolve. Epistatic interactions between mutations can promote divergent evolutionary trajectories, which complicates our ability to predict evolution. We recently showed that differences between genetic backgrounds can lead to idiosyncratic responses in the evolvability of phenotypic resistance, even among closely related Escherichia coli strains. In this study, we examined whether a strain’s genetic background also influences the genotypic evolution of resistance. Do lineages founded by different genotypes take parallel or divergent mutational paths to achieve their evolved resistance states? We addressed this question by sequencing the complete genomes of antibiotic-resistant clones that evolved from several different genetic starting points during our earlier experiments. We first validated our statistical approach by quantifying the specificity of genomic evolution with respect to antibiotic treatment. As expected, mutations in particular genes were strongly associated with each drug. Then, we determined that replicate lines evolved from the same founding genotypes had more parallel mutations at the gene level than lines evolved from different founding genotypes, although these effects were more subtle than those showing antibiotic specificity. Taken together with our previous work, we conclude that historical contingency can alter both genotypic and phenotypic pathways to antibiotic resistance.