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J Mol Biol. 2014 Nov 25;426(23):3907-16. doi: 10.1016/j.jmb.2014.03.017. Epub 2014 Apr 12.

Towards predictive models of the human gut microbiome.

Author information

1
Department of Biology, University of Massachusetts Dartmouth, 285 Old Westport Road, North Dartmouth, MA 02747, USA. Electronic address: vbucci@umassd.edu.
2
Program in Computational Biology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, Box 460, New York, NY 10065, USA. Electronic address: xavierj@mskcc.org.

Abstract

The intestinal microbiota is an ecosystem susceptible to external perturbations such as dietary changes and antibiotic therapies. Mathematical models of microbial communities could be of great value in the rational design of microbiota-tailoring diets and therapies. Here, we discuss how advances in another field, engineering of microbial communities for wastewater treatment bioreactors, could inspire development of mechanistic mathematical models of the gut microbiota. We review the state of the art in bioreactor modeling and current efforts in modeling the intestinal microbiota. Mathematical modeling could benefit greatly from the deluge of data emerging from metagenomic studies, but data-driven approaches such as network inference that aim to predict microbiome dynamics without explicit mechanistic knowledge seem better suited to model these data. Finally, we discuss how the integration of microbiome shotgun sequencing and metabolic modeling approaches such as flux balance analysis may fulfill the promise of a mechanistic model.

KEYWORDS:

antibiotic; biofilm; mathematical modeling; metagenomics; network inference

PMID:
24727124
PMCID:
PMC4194272
DOI:
10.1016/j.jmb.2014.03.017
[Indexed for MEDLINE]
Free PMC Article

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