The Contribution of High-Order Metabolic Interactions to the Global Activity of a Four-Species Microbial Community
The Contribution of High-Order Metabolic Interactions to the Global Activity of a Four-Species Microbial Community
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DOI：
10.1371/journal.pcbi.1005079
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发表时间：
2016-09-01
影响因子：
4.3
通讯作者：
Boedicker, James Q.
中科院分区：
文献类型：
--
作者：
Guo, Xiaokan;Boedicker, James Q.
生物群落的活动是涉及群落成员之间相互作用的复杂过程的结果。通常不清楚如何将这些相互作用准确地纳入预测模型。以前的工作已经表明了一系列的积极和消极的代谢对物种之间的相互作用。在这里，我们研究的能力，修改后的一般Lotka-Volterra模型与细胞间的相互作用系数预测的整体代谢率的混合良好的微生物群落组成的四个异养天然分离物，实验量化的强度，两个，三个，和四个物种的相互作用。在这个社区内，任何一对微生物物种之间的相互作用是积极的，而高阶的相互作用，3个或更多的微生物物种之间，轻微调制社区代谢。对于这个简单的社区，代谢率可以很好地预测，只有考虑到成对的相互作用。使用实验确定的相互作用参数的模拟显示，细胞分布的空间异质性增加了多物种相互作用的重要性，在本地和全球尺度上的支配功能。
The activity of a biological community is the outcome of complex processes involving interactions between community members. It is often unclear how to accurately incorporate these interactions into predictive models. Previous work has shown a range of positive and negative metabolic pairwise interactions between species. Here we examine the ability of a modified general Lotka-Volterra model with cell-cell interaction coefficients to predict the overall metabolic rate of a well-mixed microbial community comprised of four heterotrophic natural isolates, experimentally quantifying the strengths of two, three, and four-species interactions. Within this community, interactions between any pair of microbial species were positive, while higher-order interactions, between 3 or more microbial species, slightly modulated community metabolism. For this simple community, the metabolic rate of can be well predicted only with taking into account pairwise interactions. Simulations using the experimentally determined interaction parameters revealed that spatial heterogeneity in the distribution of cells increased the importance of multispecies interactions in dictating function at both the local and global scales.