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On the Origins and Control of Community Types in the Human Microbiome

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2016

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Public Library of Science
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Gibson, Travis E., Amir Bashan, Hong-Tai Cao, Scott T. Weiss, and Yang-Yu Liu. 2016. “On the Origins and Control of Community Types in the Human Microbiome.” PLoS Computational Biology 12 (2): e1004688. doi:10.1371/journal.pcbi.1004688. http://dx.doi.org/10.1371/journal.pcbi.1004688.

Abstract

Microbiome-based stratification of healthy individuals into compositional categories, referred to as “enterotypes” or “community types”, holds promise for drastically improving personalized medicine. Despite this potential, the existence of community types and the degree of their distinctness have been highly debated. Here we adopted a dynamic systems approach and found that heterogeneity in the interspecific interactions or the presence of strongly interacting species is sufficient to explain community types, independent of the topology of the underlying ecological network. By controlling the presence or absence of these strongly interacting species we can steer the microbial ecosystem to any desired community type. This open-loop control strategy still holds even when the community types are not distinct but appear as dense regions within a continuous gradient. This finding can be used to develop viable therapeutic strategies for shifting the microbial composition to a healthy configuration.

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Biology and Life Sciences, Species Interactions, Microbiology, Medical Microbiology, Microbiome, Genetics, Genomics, Microbial Genomics, Ecology, Ecosystems, Microbial Ecosystems, Ecology and Environmental Sciences, Community Ecology, Medicine and Health Sciences, Pathology and Laboratory Medicine, Pathogenesis, Host-Pathogen Interactions, Computer and Information Sciences, Graph Theory, Directed Graphs, Physical Sciences, Mathematics, Evolutionary Biology, Evolutionary Processes, Speciation, Species Delimitation, Systems Science, Dynamical Systems

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