Evolutionary innovation using EDGE, a system for localized elevated mutagenesis.

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....

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Main Authors: Xiao Yi, Romas Kazlauskas, Michael Travisano
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0232330
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spelling doaj-abedf9abcefc49988ee33ec0686b61772021-03-03T21:44:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01154e023233010.1371/journal.pone.0232330Evolutionary innovation using EDGE, a system for localized elevated mutagenesis.Xiao YiRomas KazlauskasMichael TravisanoMutations 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.https://doi.org/10.1371/journal.pone.0232330
collection DOAJ
language English
format Article
sources DOAJ
author Xiao Yi
Romas Kazlauskas
Michael Travisano
spellingShingle Xiao Yi
Romas Kazlauskas
Michael Travisano
Evolutionary innovation using EDGE, a system for localized elevated mutagenesis.
PLoS ONE
author_facet Xiao Yi
Romas Kazlauskas
Michael Travisano
author_sort Xiao Yi
title Evolutionary innovation using EDGE, a system for localized elevated mutagenesis.
title_short Evolutionary innovation using EDGE, a system for localized elevated mutagenesis.
title_full Evolutionary innovation using EDGE, a system for localized elevated mutagenesis.
title_fullStr Evolutionary innovation using EDGE, a system for localized elevated mutagenesis.
title_full_unstemmed Evolutionary innovation using EDGE, a system for localized elevated mutagenesis.
title_sort evolutionary innovation using edge, a system for localized elevated mutagenesis.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description 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.
url https://doi.org/10.1371/journal.pone.0232330
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