ArticleBMC microbiology2005
Modeling Lactococcus lactis using a genome-scale flux model.
Article in BMC microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.
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89 citing papers in PubMed.
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- Identifying the essential nutritional requirements of the probiotic bacteria Bifidobacterium animalis and Bifidobacterium longum through genome-scale modeling.NPJ systems biology and applications · 2021Article
- A novel yeast hybrid modeling framework integrating Boolean and enzyme-constrained networks enables exploration of the interplay between signaling and metabolism.PLoS computational biology · 2021Article
- Dynamic co-culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures.Biotechnology and bioengineering · 2021Article
- Respiratory Physiology of Lactococcus lactis in Chemostat Cultures and Its Effect on Cellular Robustness in Frozen and Freeze-Dried Starter Cultures.Applied and environmental microbiology · 2020Article
- Thermodynamic Limits and Optimality of Microbial Growth.Entropy (Basel, Switzerland) · 2020Review
- Reconstruction and Validation of a Genome-Scale Metabolic Model ofFrontiers in genetics · 2020Article
- Beverage and Food Fragrance Biotechnology, Novel Applications, Sensory and Sensor Techniques: An Overview.Foods (Basel, Switzerland) · 2019Review
- A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory.Microbial cell factories · 2019Article
- Aspen Plus Simulation Strategies Applied to the Study of Chitin Bioextraction from Shrimp Waste.Food technology and biotechnology · 2019Article
29 more citing papers are in PubMed but not listed here.
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3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenome-scale flux models are useful tools to represent and analyze microbial metabolism. In this work we reconstructed the metabolic network of the lactic acid bacteria Lactococcus lactis and developed a genome-scale flux model able to simulate and analyze network capabilities and whole-cell function under aerobic and anaerobic continuous cultures. Flux balance analysis (FBA) and minimization of metabolic adjustment (MOMA) were used as modeling frameworks.
resultsThe metabolic network was reconstructed using the annotated genome sequence from L. lactis ssp. lactis IL1403 together with physiological and biochemical information. The established network comprised a total of 621 reactions and 509 metabolites, representing the overall metabolism of L. lactis. Experimental data reported in the literature was used to fit the model to phenotypic observations. Regulatory constraints had to be included to simulate certain metabolic features, such as the shift from homo to heterolactic fermentation. A minimal medium for in silico growth was identified, indicating the requirement of four amino acids in addition to a sugar. Remarkably, de novo biosynthesis of four other amino acids was observed even when all amino acids were supplied, which is in good agreement with experimental observations. Additionally, enhanced metabolic engineering strategies for improved diacetyl producing strains were designed.
conclusionThe L. lactis metabolic network can now be used for a better understanding of lactococcal metabolic capabilities and potential, for the design of enhanced metabolic engineering strategies and for integration with other types of 'omic' data, to assist in finding new information on cellular organization and function.
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