Modelling the emergent dynamics and major metabolites of the human colonic microbiota
Modelling the emergent dynamics and major metabolites of the human colonic microbiota
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DOI：
10.1111/1462-2920.12599
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发表时间：
2015-05-01
影响因子：
5.1
通讯作者：
Flint, Harry J.
中科院分区：
文献类型：
--
作者：
Kettle, Helen;Louis, Petra;Flint, Harry J.
在这里，我们提出了第一次尝试在人体结肠微生物动力学建模结合不确定性和适应。这是基于一个莫诺方程为基础的发展，微分方程模型，它产生的人口动态和主要代谢物的微生物群落从人类结肠的计算机模拟。为了降低系统的复杂性，我们将细菌群落分为10个细菌功能组（BFG），每个功能组由其底物偏好，代谢途径和首选pH范围区分。该模型模拟了大量细菌菌株的生长，并结合了人与人之间微生物群组成的变化，同时还允许继承和适应环境变化。该模型显示，再现许多观察到的变化，主要的系统发育组和关键代谢产物，如丁酸，乙酸和丙酸响应一个单位的pH值变化，在实验连续流发酵罐接种人类粪便微生物群。然而，它应该被视为一种学习工具，随着我们对细菌群及其相互作用的了解的扩大而更新。鉴于进入结肠的困难，建模可以在解释实验数据和预测饮食调节的后果方面发挥极其重要的作用。
We present here a first attempt at modelling microbial dynamics in the human colon incorporating both uncertainty and adaptation. This is based on the development of a Monod-equation based, differential equation model, which produces computer simulations of the population dynamics and major metabolites of microbial communities from the human colon. To reduce the complexity of the system, we divide the bacterial community into 10 bacterial functional groups (BFGs) each distinguished by its substrate preferences, metabolic pathways and its preferred pH range. The model simulates the growth of a large number of bacterial strains and incorporates variation in microbiota composition between people, while also allowing succession and enabling adaptation to environmental changes. The model is shown to reproduce many of the observed changes in major phylogenetic groups and key metabolites such as butyrate, acetate and propionate in response to a one unit pH shift in experimental continuous flow fermentors inoculated with human faecal microbiota. Nevertheless, it should be regarded as a learning tool to be updated as our knowledge of bacterial groups and their interactions expands. Given the difficulty of accessing the colon, modelling can play an extremely important role in interpreting experimental data and predicting the consequences of dietary modulation.