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Investigating the Role of β-Disodium Glycerophosphate and Urea in Promoting Growth of Streptococcus thermophilus from Omics-Integrated Genome-Scale Models.

Chengjie HouXin SongZhiqiang XiongGuangqiang WangYong-Jun XiaLianzhong Ai
Published in: Foods (Basel, Switzerland) (2024)
This study investigates the impact of urea and β-GP on the growth of Streptococcus thermophilus S-3, a bacterium commonly used in industrial fermentation processes. Through a series of growth experiments, transcriptome, metabolome, and omics-based analyses, the research demonstrates that both urea and β-GP can enhance the biomass of S. thermophilus , with urea showing a more significant effect. The optimal urea concentration for growth was determined to be 3 g/L in M17 medium. The study also highlights the metabolic pathways influenced by urea and β-GP, particularly the galactose metabolism pathway, which is crucial for cell growth when lactose is the substrate. The integration of omics data into the genome-scale metabolic model of S. thermophilus , iCH502, allowed for a more accurate prediction of metabolic fluxes and growth rates. The study concludes that urea can serve as a viable substitute for β-GP in the cultivation of S. thermophilus , offering potential cost and efficiency benefits in industrial fermentation processes. The findings are supported by validation experiments with 11 additional strains of S. thermophilus , which showed increased biomass in UM17 medium.
Keyphrases
  • wastewater treatment
  • genome wide
  • heavy metals
  • gene expression
  • dna methylation
  • machine learning
  • cystic fibrosis
  • staphylococcus aureus
  • deep learning
  • artificial intelligence
  • saccharomyces cerevisiae
  • rna seq
  • big data