Reconstruction, verification and in-silico analysis of a genome-scale metabolic model of bacterial cellulose producing Komagataeibacter xylinus.
Bacterial cellulose
Flux balance analysis
Genome scale metabolic model
Komagataeibacter xylinus
Journal
Bioprocess and biosystems engineering
ISSN: 1615-7605
Titre abrégé: Bioprocess Biosyst Eng
Pays: Germany
ID NLM: 101088505
Informations de publication
Date de publication:
Jun 2020
Jun 2020
Historique:
received:
21
06
2019
accepted:
03
12
2019
pubmed:
3
2
2020
medline:
10
4
2021
entrez:
3
2
2020
Statut:
ppublish
Résumé
In this study, a comprehensive genome-scale metabolic network of Komagataeibacter xylinus as the model microorganism was reconstructed based on genome annotation, for better understanding of metabolic growth and biosynthesis of bacterial cellulose (BC). The reconstructed network included 640 genes, 783 metabolic reactions and 865 metabolites. The model was completely successful to predict the lack of growth under anaerobic conditions. Model validation by the data for the growth of acetic acid bacteria with ethanol-limited chemostat cultures showed that there is a good agreement for the O
Identifiants
pubmed: 32008096
doi: 10.1007/s00449-020-02299-4
pii: 10.1007/s00449-020-02299-4
doi:
Substances chimiques
Cellulose
9004-34-6
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM