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A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level
We present a novel method for visualizing intracellular metabolite concentrations within single cells of Escherichia coli and Corynebacterium glutamicum that expedites the screening process of producers. It is based on transcription factors and we used it to isolate new L-lysine producing mutants of...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3446293/ https://www.ncbi.nlm.nih.gov/pubmed/22640862 http://dx.doi.org/10.1186/gb-2012-13-5-r40 |
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author | Binder, Stephan Schendzielorz, Georg Stäbler, Norma Krumbach, Karin Hoffmann, Kristina Bott, Michael Eggeling, Lothar |
author_facet | Binder, Stephan Schendzielorz, Georg Stäbler, Norma Krumbach, Karin Hoffmann, Kristina Bott, Michael Eggeling, Lothar |
author_sort | Binder, Stephan |
collection | PubMed |
description | We present a novel method for visualizing intracellular metabolite concentrations within single cells of Escherichia coli and Corynebacterium glutamicum that expedites the screening process of producers. It is based on transcription factors and we used it to isolate new L-lysine producing mutants of C. glutamicum from a large library of mutagenized cells using fluorescence-activated cell sorting (FACS). This high-throughput method fills the gap between existing high-throughput methods for mutant generation and genome analysis. The technology has diverse applications in the analysis of producer populations and screening of mutant libraries that carry mutations in plasmids or genomes. |
format | Online Article Text |
id | pubmed-3446293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34462932012-09-20 A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level Binder, Stephan Schendzielorz, Georg Stäbler, Norma Krumbach, Karin Hoffmann, Kristina Bott, Michael Eggeling, Lothar Genome Biol Method We present a novel method for visualizing intracellular metabolite concentrations within single cells of Escherichia coli and Corynebacterium glutamicum that expedites the screening process of producers. It is based on transcription factors and we used it to isolate new L-lysine producing mutants of C. glutamicum from a large library of mutagenized cells using fluorescence-activated cell sorting (FACS). This high-throughput method fills the gap between existing high-throughput methods for mutant generation and genome analysis. The technology has diverse applications in the analysis of producer populations and screening of mutant libraries that carry mutations in plasmids or genomes. BioMed Central 2012 2012-05-28 /pmc/articles/PMC3446293/ /pubmed/22640862 http://dx.doi.org/10.1186/gb-2012-13-5-r40 Text en Copyright ©2012 Binder et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Binder, Stephan Schendzielorz, Georg Stäbler, Norma Krumbach, Karin Hoffmann, Kristina Bott, Michael Eggeling, Lothar A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level |
title | A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level |
title_full | A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level |
title_fullStr | A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level |
title_full_unstemmed | A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level |
title_short | A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level |
title_sort | high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3446293/ https://www.ncbi.nlm.nih.gov/pubmed/22640862 http://dx.doi.org/10.1186/gb-2012-13-5-r40 |
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