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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....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192385/ https://www.ncbi.nlm.nih.gov/pubmed/32353078 http://dx.doi.org/10.1371/journal.pone.0232330 |
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author | Yi, Xiao Kazlauskas, Romas Travisano, Michael |
author_facet | Yi, Xiao Kazlauskas, Romas Travisano, Michael |
author_sort | Yi, Xiao |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7192385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71923852020-05-06 Evolutionary innovation using EDGE, a system for localized elevated mutagenesis Yi, Xiao Kazlauskas, Romas Travisano, Michael PLoS One Research Article 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. Public Library of Science 2020-04-30 /pmc/articles/PMC7192385/ /pubmed/32353078 http://dx.doi.org/10.1371/journal.pone.0232330 Text en © 2020 Yi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Yi, Xiao Kazlauskas, Romas Travisano, Michael Evolutionary innovation using EDGE, a system for localized elevated mutagenesis |
title | 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_short | Evolutionary innovation using EDGE, a system for localized elevated mutagenesis |
title_sort | evolutionary innovation using edge, a system for localized elevated mutagenesis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192385/ https://www.ncbi.nlm.nih.gov/pubmed/32353078 http://dx.doi.org/10.1371/journal.pone.0232330 |
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