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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2012
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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. |
format | Online Article Text |
id | pubmed-3362087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT reyesluish visualizingevolutioninrealtimemethodforstrainengineering AT winklerjames visualizingevolutioninrealtimemethodforstrainengineering AT kaokatyc visualizingevolutioninrealtimemethodforstrainengineering |