Scientific Reports (Aug 2017)

Reconstruction of a Genome-scale Metabolic Network of Komagataeibacter nataicola RZS01 for Cellulose Production

  • Heng Zhang,
  • Chao Ye,
  • Nan Xu,
  • Chuntao Chen,
  • Xiao Chen,
  • Fanshu Yuan,
  • Yunhua Xu,
  • Jiazhi Yang,
  • Dongping Sun

DOI
https://doi.org/10.1038/s41598-017-06918-1
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 9

Abstract

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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.