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Glucose consumption rate-dependent transcriptome profiling of Escherichia coli provides insight on performance as microbial factories

BACKGROUND: The modification of glucose import capacity is an engineering strategy that has been shown to improve the characteristics of Escherichia coli as a microbial factory. A reduction in glucose import capacity can have a positive effect on production strain performance, however, this is not a...

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Autores principales: Fragoso-Jiménez, Juan Carlos, Gutierrez-Rios, Rosa María, Flores, Noemí, Martinez, Alfredo, Lara, Alvaro R., Delvigne, Frank, Gosset, Guillermo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472385/
https://www.ncbi.nlm.nih.gov/pubmed/36100849
http://dx.doi.org/10.1186/s12934-022-01909-y
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author Fragoso-Jiménez, Juan Carlos
Gutierrez-Rios, Rosa María
Flores, Noemí
Martinez, Alfredo
Lara, Alvaro R.
Delvigne, Frank
Gosset, Guillermo
author_facet Fragoso-Jiménez, Juan Carlos
Gutierrez-Rios, Rosa María
Flores, Noemí
Martinez, Alfredo
Lara, Alvaro R.
Delvigne, Frank
Gosset, Guillermo
author_sort Fragoso-Jiménez, Juan Carlos
collection PubMed
description BACKGROUND: The modification of glucose import capacity is an engineering strategy that has been shown to improve the characteristics of Escherichia coli as a microbial factory. A reduction in glucose import capacity can have a positive effect on production strain performance, however, this is not always the case. In this study, E. coli W3110 and a group of four isogenic derivative strains, harboring single or multiple deletions of genes encoding phosphoenolpyruvate:sugar phosphotransferase system (PTS)-dependent transporters as well as non-PTS transporters were characterized by determining their transcriptomic response to reduced glucose import capacity. RESULTS: These strains were grown in bioreactors with M9 mineral salts medium containing 20 g/L of glucose, where they displayed specific growth rates ranging from 0.67 to 0.27 h(−1), and specific glucose consumption rates (qs) ranging from 1.78 to 0.37 g/g h. RNA-seq analysis revealed a transcriptional response consistent with carbon source limitation among all the mutant strains, involving functions related to transport and metabolism of alternate carbon sources and characterized by a decrease in genes encoding glycolytic enzymes and an increase in gluconeogenic functions. A total of 107 and 185 genes displayed positive and negative correlations with qs, respectively. Functions displaying positive correlation included energy generation, amino acid biosynthesis, and sugar import. CONCLUSION: Changes in gene expression of E. coli strains with impaired glucose import capacity could be correlated with qs values and this allowed an inference of the physiological state of each mutant. In strains with lower qs values, a gene expression pattern is consistent with energy limitation and entry into the stationary phase. This physiological state could explain why these strains display a lower capacity to produce recombinant protein, even when they show very low rates of acetate production. The comparison of the transcriptomes of the engineered strains employed as microbial factories is an effective approach for identifying favorable phenotypes with the potential to improve the synthesis of biotechnological products. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-022-01909-y.
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spelling pubmed-94723852022-09-15 Glucose consumption rate-dependent transcriptome profiling of Escherichia coli provides insight on performance as microbial factories Fragoso-Jiménez, Juan Carlos Gutierrez-Rios, Rosa María Flores, Noemí Martinez, Alfredo Lara, Alvaro R. Delvigne, Frank Gosset, Guillermo Microb Cell Fact Research BACKGROUND: The modification of glucose import capacity is an engineering strategy that has been shown to improve the characteristics of Escherichia coli as a microbial factory. A reduction in glucose import capacity can have a positive effect on production strain performance, however, this is not always the case. In this study, E. coli W3110 and a group of four isogenic derivative strains, harboring single or multiple deletions of genes encoding phosphoenolpyruvate:sugar phosphotransferase system (PTS)-dependent transporters as well as non-PTS transporters were characterized by determining their transcriptomic response to reduced glucose import capacity. RESULTS: These strains were grown in bioreactors with M9 mineral salts medium containing 20 g/L of glucose, where they displayed specific growth rates ranging from 0.67 to 0.27 h(−1), and specific glucose consumption rates (qs) ranging from 1.78 to 0.37 g/g h. RNA-seq analysis revealed a transcriptional response consistent with carbon source limitation among all the mutant strains, involving functions related to transport and metabolism of alternate carbon sources and characterized by a decrease in genes encoding glycolytic enzymes and an increase in gluconeogenic functions. A total of 107 and 185 genes displayed positive and negative correlations with qs, respectively. Functions displaying positive correlation included energy generation, amino acid biosynthesis, and sugar import. CONCLUSION: Changes in gene expression of E. coli strains with impaired glucose import capacity could be correlated with qs values and this allowed an inference of the physiological state of each mutant. In strains with lower qs values, a gene expression pattern is consistent with energy limitation and entry into the stationary phase. This physiological state could explain why these strains display a lower capacity to produce recombinant protein, even when they show very low rates of acetate production. The comparison of the transcriptomes of the engineered strains employed as microbial factories is an effective approach for identifying favorable phenotypes with the potential to improve the synthesis of biotechnological products. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-022-01909-y. BioMed Central 2022-09-14 /pmc/articles/PMC9472385/ /pubmed/36100849 http://dx.doi.org/10.1186/s12934-022-01909-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fragoso-Jiménez, Juan Carlos
Gutierrez-Rios, Rosa María
Flores, Noemí
Martinez, Alfredo
Lara, Alvaro R.
Delvigne, Frank
Gosset, Guillermo
Glucose consumption rate-dependent transcriptome profiling of Escherichia coli provides insight on performance as microbial factories
title Glucose consumption rate-dependent transcriptome profiling of Escherichia coli provides insight on performance as microbial factories
title_full Glucose consumption rate-dependent transcriptome profiling of Escherichia coli provides insight on performance as microbial factories
title_fullStr Glucose consumption rate-dependent transcriptome profiling of Escherichia coli provides insight on performance as microbial factories
title_full_unstemmed Glucose consumption rate-dependent transcriptome profiling of Escherichia coli provides insight on performance as microbial factories
title_short Glucose consumption rate-dependent transcriptome profiling of Escherichia coli provides insight on performance as microbial factories
title_sort glucose consumption rate-dependent transcriptome profiling of escherichia coli provides insight on performance as microbial factories
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472385/
https://www.ncbi.nlm.nih.gov/pubmed/36100849
http://dx.doi.org/10.1186/s12934-022-01909-y
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