Xiao Yue, Zhai Qixiao, Zhang Hao, Chen Wei, Hill Colin
State Key Laboratory of Food Science and Technology and School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China; email:
International Joint Research Laboratory for Probiotics, Jiangnan University, Wuxi, Jiangsu 214122, China.
Annu Rev Food Sci Technol. 2021 Mar 25;12:213-233. doi: 10.1146/annurev-food-061120-014739. Epub 2020 Dec 14.
and spp. are best understood for their applications as probiotics, which are often transient, but as commensals it is probable that stable colonization in the gut is important for their beneficial roles. Recent research suggests that the establishment and persistence of strains of and in the gut are species- and strain-specific and affected by natural history, genomic adaptability, and metabolic interactions of the bacteria and the microbiome and immune aspects of the host but also regulated by diet. This provides new perspectives on the underlying molecular mechanisms. With an emphasis on host-microbe interaction, this review outlines how the characteristics of individual and bacteria, the host genotype and microbiome structure,diet, and host-microbe coadaptation during bacterial gut transition determine and influence the colonization process. The diet-tuned and personally tailored colonization can be achieved via a machine learning prediction model proposed here.
[具体细菌名称]和[具体细菌名称]作为益生菌的应用已得到充分理解，它们通常是短暂存在的，但作为共生菌，在肠道中稳定定殖可能对其发挥有益作用很重要。最近的研究表明，[具体细菌名称]和[具体细菌名称]菌株在肠道中的建立和持续存在具有物种和菌株特异性，受细菌和微生物群的自然史、基因组适应性、代谢相互作用以及宿主的免疫方面影响，同时也受饮食调节。这为潜在的分子机制提供了新的视角。本综述着重于宿主 - 微生物相互作用，概述了单个[具体细菌名称]和[具体细菌名称]细菌的特征、宿主基因型和微生物群结构、饮食以及细菌在肠道转变过程中的宿主 - 微生物共同适应如何决定和影响定殖过程。通过本文提出的机器学习预测模型可以实现饮食调整和个性化定制的定殖。
