A quantitative model of Bacillus cereus ATCC 9634 growth inhibition by bifidobacteria for synbiotic effect evaluation

• Published in: World journal of microbiology & biotechnology 2019-06, Vol.35 (6), p.89-13, Article 89
• Main Authors: Karetkin, Boris A., Guseva, Elena V., Evdokimova, Svetlana A., Mishchenko, Anastasia S., Khabibulina, Natalia V., Grosheva, Veronika D., Menshutina, Natalia V., Panfilov, Victor I.
• Format: Article
• Language: English
• Subjects: Applied Microbiology; Bacilli; Bacillus cereus; Bifidobacterium adolescentis; Biochemistry; Biomedical and Life Sciences; Biotechnology; Chains; Competition; Contaminants; Criteria; Culture; Environmental Engineering/Biotechnology; Fatty acids; Fermentation; Food contamination; Growth rate; Inhibitors; Inulin; Life Sciences; Microbiology; Minimum inhibitory concentration; Original Paper; Probiotics; Propionic acid; Pure culture
• ISSN: 0959-3993; 1573-0972
• DOI: 10.1007/s11274-019-2665-2

The present study is dedicated to the development of novel criteria for assessing the synbiotic effect of prebiotic and probiotic composition against a specific pathogen. These criteria were obtained from the quantitative model of Bifidobacterium adolescentis ATCC 15703 and Bacillus cereus ATCC 9634 (as a model food contaminant) competition in co-culture fermentation. The model is based on the hypothesis that probiotics can reduce the specific growth rate of non-probiotics by producing short-chain fatty acids. To define the relationship between the specific growth rate of non-probiotics and short-chain fatty acid yields, the inhibition constants were determined separately for each inhibitor produced by bifidobacteria (lactic, acetic and propionic acids) in a pure culture of bacilli. Two different equations based on the minimum inhibitor concentration ( MIC ) and inhibition constant ( K i ) were used to connect the specific growth rate and concentrations of inhibitors. The yields of the inhibitors mentioned above were obtained from co-culture experiments. The experimental values and the values predicted by the model of Bacillus count did not differ significantly (R 2 not less than 0.83) in the competition experiments. Therefore, the general criterion of the synbiotic effect was derived from the model and presents the coefficient of non-probiotic specific growth rate reduction as a result of probiotic growth and inhibitor formation in the final co-culture fermentation. This criterion has been examined for different commercial prebiotics coupled with the Bifidobacterium adolescentis strain. The synergistic combination of inulin GR with bifidobacteria had the best effect against Bacillus cereus ATCC 9634. Graphical abstract