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Visualizing evolution in real-time method for strain engineering

The adaptive landscape for an industrially relevant phenotype is determined by the effects of the genetic determinants on the fitness of the microbial system. Identifying the underlying adaptive landscape for a particular phenotype of interest will greatly enhance our abilities to engineer more robu...

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Detalles Bibliográficos
Autores principales: Reyes, Luis H., Winkler, James, Kao, Katy C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3362087/
https://www.ncbi.nlm.nih.gov/pubmed/22661973
http://dx.doi.org/10.3389/fmicb.2012.00198
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author Reyes, Luis H.
Winkler, James
Kao, Katy C.
author_facet Reyes, Luis H.
Winkler, James
Kao, Katy C.
author_sort Reyes, Luis H.
collection PubMed
description The adaptive landscape for an industrially relevant phenotype is determined by the effects of the genetic determinants on the fitness of the microbial system. Identifying the underlying adaptive landscape for a particular phenotype of interest will greatly enhance our abilities to engineer more robust microbial strains. Visualizing evolution in real-time (VERT) is a recently developed method based on in vitro adaptive evolution that facilitates the identification of fitter mutants throughout the course of evolution. Combined with high-throughput genomic tools, VERT can greatly enhance the mapping of adaptive landscapes of industrially relevant phenotypes in microbial systems, thereby expanding our knowledge on the parameters that can be used for strain engineering.
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spelling pubmed-33620872012-06-01 Visualizing evolution in real-time method for strain engineering Reyes, Luis H. Winkler, James Kao, Katy C. Front Microbiol Microbiology The adaptive landscape for an industrially relevant phenotype is determined by the effects of the genetic determinants on the fitness of the microbial system. Identifying the underlying adaptive landscape for a particular phenotype of interest will greatly enhance our abilities to engineer more robust microbial strains. Visualizing evolution in real-time (VERT) is a recently developed method based on in vitro adaptive evolution that facilitates the identification of fitter mutants throughout the course of evolution. Combined with high-throughput genomic tools, VERT can greatly enhance the mapping of adaptive landscapes of industrially relevant phenotypes in microbial systems, thereby expanding our knowledge on the parameters that can be used for strain engineering. Frontiers Research Foundation 2012-05-29 /pmc/articles/PMC3362087/ /pubmed/22661973 http://dx.doi.org/10.3389/fmicb.2012.00198 Text en Copyright © Reyes, Winkler and Kao. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) , which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
spellingShingle Microbiology
Reyes, Luis H.
Winkler, James
Kao, Katy C.
Visualizing evolution in real-time method for strain engineering
title Visualizing evolution in real-time method for strain engineering
title_full Visualizing evolution in real-time method for strain engineering
title_fullStr Visualizing evolution in real-time method for strain engineering
title_full_unstemmed Visualizing evolution in real-time method for strain engineering
title_short Visualizing evolution in real-time method for strain engineering
title_sort visualizing evolution in real-time method for strain engineering
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3362087/
https://www.ncbi.nlm.nih.gov/pubmed/22661973
http://dx.doi.org/10.3389/fmicb.2012.00198
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