Microbiome-based stratification of healthy individuals into compositional
categories, referred to as "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 configurationComment: Main Text, Figures, Methods, Supplementary Figures, and Supplementary
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