Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA.
Department of Computer Science, Boston College, Chestnut Hill, MA, 02467, USA.
Nat Commun. 2019 May 3;10(1):2052. doi: 10.1038/s41467-019-10062-x.
Many microbial functions happen within communities of interacting species. Explaining how species with disparate growth rates can coexist is important for applications such as manipulating host-associated microbiota or engineering industrial communities. Here, we ask how microbes interacting through their chemical environment can achieve coexistence in a continuous growth setup (similar to an industrial bioreactor or gut microbiota) where external resources are being supplied. We formulate and experimentally constrain a model in which mediators of interactions (e.g. metabolites or waste-products) are explicitly incorporated. Our model highlights facilitation and self-restraint as interactions that contribute to coexistence, consistent with our intuition. When interactions are strong, we observe that coexistence is determined primarily by the topology of facilitation and inhibition influences not their strengths. Importantly, we show that consumption or degradation of chemical mediators moderates interaction strengths and promotes coexistence. Our results offer insights into how to build or restructure microbial communities of interest.
许多微生物功能发生在相互作用的物种群落中。解释具有不同生长速率的物种如何能够共存对于操纵宿主相关微生物组或工程工业群落等应用非常重要。在这里,我们研究了通过化学环境相互作用的微生物如何在外部资源不断供应的连续生长环境(类似于工业生物反应器或肠道微生物组)中实现共存。我们提出并实验限制了一个模型,其中明确纳入了相互作用的介质(例如代谢物或废物产物)。我们的模型突出了促进和自我约束作为有助于共存的相互作用,这与我们的直觉一致。当相互作用很强时,我们观察到共存主要由促进和抑制影响的拓扑结构决定,而不是它们的强度。重要的是,我们表明化学介质的消耗或降解会调节相互作用强度并促进共存。我们的结果提供了关于如何构建或重构感兴趣的微生物群落的见解。