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A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory
- Source :
- Microbial Cell Factories, Kristjansdottir, T, Bosma, E F, Branco Dos Santos, F, Özdemir, E, Herrgård, M J, França, L, Ferreira, B, Toftgaard Nielsen, A & Gudmundsson, S 2019, ' A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory ', Microbial Cell Factories, vol. 18, no. 1, 186 . https://doi.org/10.1186/s12934-019-1229-3, Microbial Cell Factories, Vol 18, Iss 1, Pp 1-19 (2019), Microbial Cell Factories, 18:186. BioMed Central
- Publication Year :
- 2019
- Publisher :
- BioMed Central, 2019.
-
Abstract
- Publisher's version (útgefin grein).<br />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 1112T 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 1112T that has been experimentally parameterized and validated and can accurately predict metabolic behavior of this important platform cell factory.<br />This study was supported by the Marine Biotechnology ERA-NET Thermo-Factories project grant number 5178–00003B; the Technology Development fund in Iceland grant number 159004-0612; The Novo Nordisk Foundation in Denmark; and the European Union’s Horizon 2020 research and innovation programme under grant agreement No 686070 (DD-DeCaF).
- Subjects :
- Limosilactobacillus reuteri
Cell factory
Lactobacillus reuteri
lcsh:QR1-502
Phosphoketolase
Bioengineering
Computational biology
Applied Microbiology and Biotechnology
lcsh:Microbiology
Metabolic engineering
03 medical and health sciences
chemistry.chemical_compound
Genamengi
Genome-scale metabolic model
Glycerol
Glycolysis
030304 developmental biology
0303 health sciences
biology
030306 microbiology
Research
Probiotics
food and beverages
Metabolism
biology.organism_classification
Frumulíffræði
chemistry
Metabolic Engineering
Gerlar
Fermentation
Flux (metabolism)
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 14752859
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Microbial Cell Factories
- Accession number :
- edsair.doi.dedup.....f84158f09e5725e9324c8343d31b6594