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Controlling microbial communities: a theoretical framework

View ORCID ProfileMarco Tulio Angulo, Claude H. Moog, View ORCID ProfileYang-Yu Liu
doi: https://doi.org/10.1101/149765
Marco Tulio Angulo
1National Council for Science and Technology (CONACyT), Ciudad de México 03940, México.
2Institute of Mathematics, Universidad Nacional Autónoma de México, Juriquilla 76230, México.
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Claude H. Moog
3Laboratoire des Sciences du Numrique de Nantes, UMR CNRS 6004, Nantes 44321, France.
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Yang-Yu Liu
4Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.
5Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA.
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Abstract

Microbial communities perform key functions for the host they associate with or the environment they reside in. Our ability to control those microbial communities is crucial for maintaining or even enhancing the well-being of their host or environment. But this potential has not been fully harvested due to the lack of a systematic method to control those complex microbial communities. Here we introduce a theoretical framework to rigorously address this challenge, based on the new notion of structural accessibility. This framework allows the identification of minimal sets of “driver species” through which we can achieve feasible control of the entire community. We apply our framework to control the core microbiota of a sea sponge and the gut microbiota of gnotobiotic mice infected with C. difficile. This control-theoretical framework fundamentally enhances our ability to effectively manage and control complex microbial communities, such as the human gut microbiota. In particular, the concept of driver species of a microbial community holds translational promise in the design of probiotic cocktails for various diseases associated with disrupted microbiota.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted June 14, 2017.
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Controlling microbial communities: a theoretical framework
Marco Tulio Angulo, Claude H. Moog, Yang-Yu Liu
bioRxiv 149765; doi: https://doi.org/10.1101/149765
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Controlling microbial communities: a theoretical framework
Marco Tulio Angulo, Claude H. Moog, Yang-Yu Liu
bioRxiv 149765; doi: https://doi.org/10.1101/149765

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