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A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory

BACKGROUND: Lactobacillus reuteri is a heterofermentative Lactic Acid Bacterium (LAB) that is commonly used for food fermentations and probiotic purposes. Due to its robust properties, it is also increasingly considered for use as a cell factory. It produces several industrially important compounds...

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Autores principales: Kristjansdottir, Thordis, Bosma, Elleke F., Branco dos Santos, Filipe, Özdemir, Emre, Herrgård, Markus J., França, Lucas, Ferreira, Bruno, Nielsen, Alex T., Gudmundsson, Steinn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821008/
https://www.ncbi.nlm.nih.gov/pubmed/31665018
http://dx.doi.org/10.1186/s12934-019-1229-3
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author Kristjansdottir, Thordis
Bosma, Elleke F.
Branco dos Santos, Filipe
Özdemir, Emre
Herrgård, Markus J.
França, Lucas
Ferreira, Bruno
Nielsen, Alex T.
Gudmundsson, Steinn
author_facet Kristjansdottir, Thordis
Bosma, Elleke F.
Branco dos Santos, Filipe
Özdemir, Emre
Herrgård, Markus J.
França, Lucas
Ferreira, Bruno
Nielsen, Alex T.
Gudmundsson, Steinn
author_sort Kristjansdottir, Thordis
collection PubMed
description BACKGROUND: Lactobacillus reuteri is a heterofermentative Lactic Acid Bacterium (LAB) that is commonly used for food fermentations and probiotic purposes. Due to its robust properties, it is also increasingly considered for use as a cell factory. It produces several industrially important compounds such as 1,3-propanediol and reuterin natively, but for cell factory purposes, developing improved strategies for engineering and fermentation optimization is crucial. Genome-scale metabolic models can be highly beneficial in guiding rational metabolic engineering. Reconstructing a reliable and a quantitatively accurate metabolic model requires extensive manual curation and incorporation of experimental data. RESULTS: A genome-scale metabolic model of L. reuteri JCM 1112(T) was reconstructed and the resulting model, Lreuteri_530, was validated and tested with experimental data. Several knowledge gaps in the metabolism were identified and resolved during this process, including presence/absence of glycolytic genes. Flux distribution between the two glycolytic pathways, the phosphoketolase and Embden–Meyerhof–Parnas pathways, varies considerably between LAB species and strains. As these pathways result in different energy yields, it is important to include strain-specific utilization of these pathways in the model. We determined experimentally that the Embden–Meyerhof–Parnas pathway carried at most 7% of the total glycolytic flux. Predicted growth rates from Lreuteri_530 were in good agreement with experimentally determined values. To further validate the prediction accuracy of Lreuteri_530, the predicted effects of glycerol addition and adhE gene knock-out, which results in impaired ethanol production, were compared to in vivo data. Examination of both growth rates and uptake- and secretion rates of the main metabolites in central metabolism demonstrated that the model was able to accurately predict the experimentally observed effects. Lastly, the potential of L. reuteri as a cell factory was investigated, resulting in a number of general metabolic engineering strategies. CONCLUSION: We have constructed a manually curated genome-scale metabolic model of L. reuteri JCM 1112(T) that has been experimentally parameterized and validated and can accurately predict metabolic behavior of this important platform cell factory.
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spelling pubmed-68210082019-11-04 A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory Kristjansdottir, Thordis Bosma, Elleke F. Branco dos Santos, Filipe Özdemir, Emre Herrgård, Markus J. França, Lucas Ferreira, Bruno Nielsen, Alex T. Gudmundsson, Steinn Microb Cell Fact Research BACKGROUND: Lactobacillus reuteri is a heterofermentative Lactic Acid Bacterium (LAB) that is commonly used for food fermentations and probiotic purposes. Due to its robust properties, it is also increasingly considered for use as a cell factory. It produces several industrially important compounds such as 1,3-propanediol and reuterin natively, but for cell factory purposes, developing improved strategies for engineering and fermentation optimization is crucial. Genome-scale metabolic models can be highly beneficial in guiding rational metabolic engineering. Reconstructing a reliable and a quantitatively accurate metabolic model requires extensive manual curation and incorporation of experimental data. RESULTS: A genome-scale metabolic model of L. reuteri JCM 1112(T) was reconstructed and the resulting model, Lreuteri_530, was validated and tested with experimental data. Several knowledge gaps in the metabolism were identified and resolved during this process, including presence/absence of glycolytic genes. Flux distribution between the two glycolytic pathways, the phosphoketolase and Embden–Meyerhof–Parnas pathways, varies considerably between LAB species and strains. As these pathways result in different energy yields, it is important to include strain-specific utilization of these pathways in the model. We determined experimentally that the Embden–Meyerhof–Parnas pathway carried at most 7% of the total glycolytic flux. Predicted growth rates from Lreuteri_530 were in good agreement with experimentally determined values. To further validate the prediction accuracy of Lreuteri_530, the predicted effects of glycerol addition and adhE gene knock-out, which results in impaired ethanol production, were compared to in vivo data. Examination of both growth rates and uptake- and secretion rates of the main metabolites in central metabolism demonstrated that the model was able to accurately predict the experimentally observed effects. Lastly, the potential of L. reuteri as a cell factory was investigated, resulting in a number of general metabolic engineering strategies. CONCLUSION: We have constructed a manually curated genome-scale metabolic model of L. reuteri JCM 1112(T) that has been experimentally parameterized and validated and can accurately predict metabolic behavior of this important platform cell factory. BioMed Central 2019-10-29 /pmc/articles/PMC6821008/ /pubmed/31665018 http://dx.doi.org/10.1186/s12934-019-1229-3 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Kristjansdottir, Thordis
Bosma, Elleke F.
Branco dos Santos, Filipe
Özdemir, Emre
Herrgård, Markus J.
França, Lucas
Ferreira, Bruno
Nielsen, Alex T.
Gudmundsson, Steinn
A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory
title A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory
title_full A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory
title_fullStr A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory
title_full_unstemmed A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory
title_short A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory
title_sort metabolic reconstruction of lactobacillus reuteri jcm 1112 and analysis of its potential as a cell factory
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821008/
https://www.ncbi.nlm.nih.gov/pubmed/31665018
http://dx.doi.org/10.1186/s12934-019-1229-3
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