Ecological dynamics of the gut microbiome in response to dietary fiber

被引:0
|
作者
Hongbin Liu
Chen Liao
Lu Wu
Jinhui Tang
Junyu Chen
Chaobi Lei
Linggang Zheng
Chenhong Zhang
Yang-Yu Liu
Joao Xavier
Lei Dai
机构
[1] Chinese Academy of Sciences,CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology
[2] Program for Computational and Systems Biology,Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute
[3] Memorial Sloan-Kettering Cancer Center,State Key Laboratory of Microbial Metabolism, School of Life Science and Biotechnology
[4] Shenzhen Institute of Advanced Technology,Channing Division of Network Medicine, Department of Medicine
[5] Chinese Academy of Sciences,undefined
[6] Shanghai Jiao Tong University,undefined
[7] Brigham and Women’s Hospital and Harvard Medical School,undefined
来源
The ISME Journal | 2022年 / 16卷
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摘要
Dietary fibers are generally thought to benefit intestinal health. Their impacts on the composition and metabolic function of the gut microbiome, however, vary greatly across individuals. Previous research showed that each individual’s response to fibers depends on their baseline gut microbiome, but the ecology driving microbiota remodeling during fiber intake remained unclear. Here, we studied the long-term dynamics of the gut microbiome and short-chain fatty acids (SCFAs) in isogenic mice with distinct microbiota baselines fed with the fermentable fiber inulin and resistant starch compared to the non-fermentable fiber cellulose. We found that inulin produced a generally rapid response followed by gradual stabilization to new equilibria, and those dynamics were baseline-dependent. We parameterized an ecology model from the time-series data, which revealed a group of bacteria whose growth significantly increased in response to inulin and whose baseline abundance and interspecies competition explained the baseline dependence of microbiome density and community composition dynamics. Fecal levels of SCFAs, such as propionate, were associated with the abundance of inulin responders, yet inter-individual variation of gut microbiome impeded the prediction of SCFAs by machine learning models. We showed that our methods and major findings were generalizable to dietary resistant starch. Finally, we analyzed time-series data of synthetic and natural human gut microbiome in response to dietary fiber and validated the inferred interspecies interactions in vitro. This study emphasizes the importance of ecological modeling to understand microbiome responses to dietary changes and the need for personalized interventions.
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页码:2040 / 2055
页数:15
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