ArticleScientific reports2017
Reconstruction of a Genome-scale Metabolic Network of Komagataeibacter nataicola RZS01 for Cellulose Production.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 32 citations in OpenAlex.
- Quantitative Metaproteomic Characterization of Acetic Acid Bacteria Reveals Functional Dynamics During Verdejo Wine Acetification.Proteomes · 2026Article
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- Modulating Microbial Materials - Engineering Bacterial Cellulose with Synthetic Biology.ACS synthetic biology · 2024Review
- Whole genome sequencing analysis of Komagataeibacter nataicola reveals its potential in food waste valorisation for cellulose production.Molecular biology reports · 2024Article
- The Space-Exposed Kombucha Microbial Community MemberFrontiers in microbiology · 2022Article
- Systematic Understanding of Recent Developments in Bacterial Cellulose Biosynthesis at Genetic, Bioprocess and Product Levels.International journal of molecular sciences · 2021Review
- Functional and genomic characterization ofBiotechnology reports (Amsterdam, Netherlands) · 2021Article
- Enhanced Production of Bacterial Cellulose inJournal of microbiology and biotechnology · 2020Article
- Towards control of cellulose biosynthesis by Komagataeibacter using systems-level and strain engineering strategies: current progress and perspectives.Applied microbiology and biotechnology · 2020Review
- Understanding the metabolism of the tetralin degrader Sphingopyxis granuli strain TFA through genome-scale metabolic modelling.Scientific reports · 2020Article
- Article
- Genomic sequencing, genome-scale metabolic network reconstruction, and in silico flux analysis of the grape endophytic fungus Alternaria sp. MG1.Microbial cell factories · 2019Article
- Genome-Scale Metabolic Reconstruction ofFrontiers in microbiology · 2019Article
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9 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Bacterial cellulose (BC) is widely used in industries owing to its high purity and strength. Although Komagataeibacter nataicola is a representative species for BC production, its intracellular metabolism leading to BC secretion is unclear. In the present study, a genome-scale metabolic network of cellulose-producing K. nataicola strain RZS01 was reconstructed to understand its metabolic behavior. This model iHZ771 comprised 771 genes, 2035 metabolites, and 2014 reactions. Constraint-based analysis was used to characterize and evaluate the critical intracellular pathways. The analysis revealed that a total of 71 and 30 genes are necessary for cellular growth in a minimal medium and complex medium, respectively. Glycerol was identified as the optimal carbon source for the highest BC production. The minimization of metabolic adjustment algorithm identified 8 genes as potential targets for over-production of BC. Overall, model iHZ771 proved to be a useful platform for understanding the physiology and BC production of K. nataicola.
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