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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...

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Detalles Bibliográficos
Autores principales: Binder, Stephan, Schendzielorz, Georg, Stäbler, Norma, Krumbach, Karin, Hoffmann, Kristina, Bott, Michael, Eggeling, Lothar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
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.
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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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