合生元由活微生物和能被宿主微生物选择性利用的底物组成,能够为宿主健康带来益处。关于协同合生元的研究表明,相比于单一低聚糖,低聚糖组合对益生菌的生长和功能效果更好。但是不同低聚糖益生元如何组合,低聚糖益生元组合对益生菌生长的促进作用属于协同作用还是叠加作用尚不明确。SynergyFinder 3.0是近年开发的用于交互式和可视化分析多种药物组合效应的工具包。该文以动物双歧杆菌乳亚种(Bifidobacterium animals subsp.lactis)bb-12、短双歧杆菌(Bifidobacterium breve)grx05和植物乳植杆菌(Lactiplantibacillus plantarum)660为例,以最大细胞生长量(ΔOD600)和最大比生长率为指标,基于SynergyFinder 3.0理性分析了54种低聚糖组合对菌株生长的组合效应。结果表明,该实验条件下所有2种寡糖组合的ZIP值都在10以下,表明2种寡糖组合对菌株生长的促进作用不属于协同效应,而是叠加效应。该研究拓展了对益生菌、低聚糖组合效应的认识。对协同合生元的理性设计和产品开发具有一定指导意义。未来通过体外和体内实验,结合基因组尺度的代谢网络模型,探究低聚糖组合对益生菌生长的协同效应十分必要。
Synbiotic is defined as a mixture comprising live microorganisms and substrate(s) selectively utilized by host microorganisms that confer a health benefit on the host.Research on synergistic synbiotics has shown that compared to single oligosaccharides, oligosaccharides in combination have better growth and functional effects on probiotics.However, it is unclear how different oligosaccharides and probiotics are rationally combined, and whether the promotion of probiotic growth by oligosaccharide combinations is synergistic or additive.SynergyFinder 3.0 is an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples.In this study, the maximum cell growth (ΔOD600) and maximum specific growth rate of Bifidobacterium animals subsp.lactis bb-12, Bifidobacterium breve grx05, and Lactiplantibacillus plantarum 660 in 54 combinations of oligosaccharides were analyzed by SynergyFinder 3.0.Results showed that under the experimental conditions, the ZIP values of all oligosaccharide combinations were below 10, indicating that the promoting effect of the two oligosaccharide combinations on bacterial growth was not synergistic, but an additive effect.This study expanded our knowledge of the combined effects of oligosaccharides on probiotic growth.It has a certain guiding significance for the rational design and product development of synergistic synbiotics.It is necessary to explore the synergistic effect of oligosaccharide combinations on probiotic growth through in vitro and in vivo experiments, combined with genomic scale metabolic network models in the future.
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