Predicting a Human Gut Microbiota's Response to Diet in Gnotobiotic Mice

被引:411
作者
Faith, Jeremiah J. [1 ]
McNulty, Nathan P. [1 ]
Rey, Federico E. [1 ]
Gordon, Jeffrey I. [1 ]
机构
[1] Washington Univ, Sch Med, Ctr Genome Sci & Syst Biol, St Louis, MO 63108 USA
关键词
MICROBES;
D O I
10.1126/science.1206025
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
The interrelationships between our diets and the structure and operations of our gut microbial communities are poorly understood. A model community of 10 sequenced human gut bacteria was introduced into gnotobiotic mice, and changes in species abundance and microbial gene expression were measured in response to randomized perturbations of four defined ingredients in the host diet. From the responses, we developed a statistical model that predicted over 60% of the variation in species abundance evoked by diet perturbations, and we were able to identify which factors in the diet best explained changes seen for each community member. The approach is generally applicable, as shown by a follow-up study involving diets containing various mixtures of pureed human baby foods.
引用
收藏
页码:101 / 104
页数:4
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