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Evolutionary innovation using EDGE, a system for localized elevated mutagenesis

Xiao Yi, Romas J. Kazlauskas, Michael Travisano

2020PLoS ONE11 citationsDOIOpen Access PDF

Abstract

Mutations arising across the whole genome can hinder the emergence of evolutionary innovation required for adaptation because many mutations are deleterious. This trade-off is overcome by elevated mutagenesis to localized loci. Examples include phase variation and diversity-generating retroelements. However, these mechanisms are rare in nature; and all have narrow mutational spectra limiting evolutionary innovation. Here, we engineer a platform of Experimental Designed Genic Evolution (EDGE) to study the potential for evolutionary novelty at a single locus. Experimental evolution with EDGE shows that bacterial resistance to a novel antibiotic readily evolves, provided that elevated mutagenesis is focused on a relevant gene. A model is proposed to account for the cost and benefit of such single loci to adaptation in a changing environment and explains their high mutation rates, limited innovation, and the rarity of localized mutagenesis in nature. Overall, our results suggest that localized mutation systems can facilitate continuing adaptive evolution without necessarily restricting the spectrum of mutations. EDGE has utility in dissecting the complex process of adaptation with its localized, efficient evolution.

Topics & Concepts

MutagenesisBiologyAdaptation (eye)GeneticsNoveltyMutationLocus (genetics)Genome evolutionGeneComputational biologyExperimental evolutionDirected evolutionGenomeEvolutionary biologyMutantNeurosciencePhilosophyTheologyEvolution and Genetic DynamicsCRISPR and Genetic EngineeringGenomics and Phylogenetic Studies
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