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Optimizing bacteriophage engineering through an accelerated evolution platform

The emergence of antibiotic resistance has raised serious concerns within scientific and medical communities, and has underlined the importance of developing new antimicrobial agents to combat such infections. Bacteriophages, naturally occurring bacterial viruses, have long been characterized as pro...

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Autores principales: Favor, Andrew H., Llanos, Carlos D., Youngblut, Matthew D., Bardales, Jorge A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438504/
https://www.ncbi.nlm.nih.gov/pubmed/32814789
http://dx.doi.org/10.1038/s41598-020-70841-1
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author Favor, Andrew H.
Llanos, Carlos D.
Youngblut, Matthew D.
Bardales, Jorge A.
author_facet Favor, Andrew H.
Llanos, Carlos D.
Youngblut, Matthew D.
Bardales, Jorge A.
author_sort Favor, Andrew H.
collection PubMed
description The emergence of antibiotic resistance has raised serious concerns within scientific and medical communities, and has underlined the importance of developing new antimicrobial agents to combat such infections. Bacteriophages, naturally occurring bacterial viruses, have long been characterized as promising antibiotic alternatives. Although bacteriophages hold great promise as medical tools, clinical applications have been limited by certain characteristics of phage biology, with structural fragility under the high temperatures and acidic environments of therapeutic applications significantly limiting therapeutic effectiveness. This study presents and evaluates the efficacy of a new accelerated evolution platform, chemically accelerated viral evolution (CAVE), which provides an effective and robust method for the rapid enhancement of desired bacteriophage characteristics. Here, our initial use of this methodology demonstrates its ability to confer significant improvements in phage thermal stability. Analysis of the mutation patterns that arise through CAVE iterations elucidates the manner in which specific genetic modifications bring forth desired changes in functionality, thereby providing a roadmap for bacteriophage engineering.
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spelling pubmed-74385042020-08-21 Optimizing bacteriophage engineering through an accelerated evolution platform Favor, Andrew H. Llanos, Carlos D. Youngblut, Matthew D. Bardales, Jorge A. Sci Rep Article The emergence of antibiotic resistance has raised serious concerns within scientific and medical communities, and has underlined the importance of developing new antimicrobial agents to combat such infections. Bacteriophages, naturally occurring bacterial viruses, have long been characterized as promising antibiotic alternatives. Although bacteriophages hold great promise as medical tools, clinical applications have been limited by certain characteristics of phage biology, with structural fragility under the high temperatures and acidic environments of therapeutic applications significantly limiting therapeutic effectiveness. This study presents and evaluates the efficacy of a new accelerated evolution platform, chemically accelerated viral evolution (CAVE), which provides an effective and robust method for the rapid enhancement of desired bacteriophage characteristics. Here, our initial use of this methodology demonstrates its ability to confer significant improvements in phage thermal stability. Analysis of the mutation patterns that arise through CAVE iterations elucidates the manner in which specific genetic modifications bring forth desired changes in functionality, thereby providing a roadmap for bacteriophage engineering. Nature Publishing Group UK 2020-08-19 /pmc/articles/PMC7438504/ /pubmed/32814789 http://dx.doi.org/10.1038/s41598-020-70841-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Favor, Andrew H.
Llanos, Carlos D.
Youngblut, Matthew D.
Bardales, Jorge A.
Optimizing bacteriophage engineering through an accelerated evolution platform
title Optimizing bacteriophage engineering through an accelerated evolution platform
title_full Optimizing bacteriophage engineering through an accelerated evolution platform
title_fullStr Optimizing bacteriophage engineering through an accelerated evolution platform
title_full_unstemmed Optimizing bacteriophage engineering through an accelerated evolution platform
title_short Optimizing bacteriophage engineering through an accelerated evolution platform
title_sort optimizing bacteriophage engineering through an accelerated evolution platform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438504/
https://www.ncbi.nlm.nih.gov/pubmed/32814789
http://dx.doi.org/10.1038/s41598-020-70841-1
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