ArticlePloS one2014
Genome-scale reconstruction of metabolic networks of Lactobacillus casei ATCC 334 and 12A.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Evaluation of Genome-Scale Model Reconstruction Strategies forMetabolites · 2025Article
- Genome-scale metabolic model-guided systematic framework for designing customized live biotherapeutic products.NPJ systems biology and applications · 2025Review
- Pangenome reconstruction ofmSystems · 2024Article
- Dissecting the Genetic Basis of the Technological, Functional, and Safety Characteristics ofMicroorganisms · 2024Article
- Teasing out missing reactions in genome-scale metabolic networks through hypergraph learning.Nature communications · 2023Article
- Integrated Profiling of Gram-Positive and Gram-Negative Probiotic Genomes, Proteomes and Metabolomes Revealed Small Molecules with Differential Growth Inhibition of Antimicrobial-Resistant Pathogens.Journal of dietary supplements · 2023Article
- Omics Approaches to Assess Flavor Development in Cheese.Foods (Basel, Switzerland) · 2022Review
- The potential of lactic acid bacteria in mediating the control of plant diseases and plant growth stimulation in crop production - A mini review.Frontiers in plant science · 2022Review
- Genome-scale insights into the metabolic versatility of Limosilactobacillus reuteri.BMC biotechnology · 2021Article
- Article
- A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory.Microbial cell factories · 2019Article
- Comparative genomics and functional analysis of a highly adhesive dairy Lactobacillus paracasei subsp. paracasei IBB3423 strain.Applied microbiology and biotechnology · 2019Article
- Constraint-based modeling in microbial food biotechnology.Biochemical Society transactions · 2018Review
- Comparative genomic and metabolic analysis of three Lactobacillus paracasei cheese isolates reveals considerable genomic differences in strains from the same niche.BMC genomics · 2018Article
- Genome-scale modeling and transcriptome analysis of Leuconostoc mesenteroides unravel the redox governed metabolic states in obligate heterofermentative lactic acid bacteria.Scientific reports · 2017Article
- SteadyCom: Predicting microbial abundances while ensuring community stability.PLoS computational biology · 2017Article
- Lactobacillus casei as a biocatalyst for biofuel production.Journal of industrial microbiology & biotechnology · 2016Article
- Metabolic network modeling of microbial communities.Wiley interdisciplinary reviews. Systems biology and medicineReview
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lactobacillus casei strains are widely used in industry and the utility of this organism in these industrial applications is strain dependent. Hence, tools capable of predicting strain specific phenotypes would have utility in the selection of strains for specific industrial processes. Genome-scale metabolic models can be utilized to better understand genotype-phenotype relationships and to compare different organisms. To assist in the selection and development of strains with enhanced industrial utility, genome-scale models for L. casei ATCC 334, a well characterized strain, and strain 12A, a corn silage isolate, were constructed. Draft models were generated from RAST genome annotations using the Model SEED database and refined by evaluating ATP generating cycles, mass-and-charge-balances of reactions, and growth phenotypes. After the validation process was finished, we compared the metabolic networks of these two strains to identify metabolic, genetic and ortholog differences that may lead to different phenotypic behaviors. We conclude that the metabolic capabilities of the two networks are highly similar. The L. casei ATCC 334 model accounts for 1,040 reactions, 959 metabolites and 548 genes, while the L. casei 12A model accounts for 1,076 reactions, 979 metabolites and 640 genes. The developed L. casei ATCC 334 and 12A metabolic models will enable better understanding of the physiology of these organisms and be valuable tools in the development and selection of strains with enhanced utility in a variety of industrial applications.
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