PPubMed27 Mar 2018Cited 99×

From Network Analysis to Functional Metabolic Modeling of the Human Gut Microbiota Functional Metabolic Modeling of the Gut Microbiota Bauer and Thiele

Eugen Bauer, Ines Thiele, Naseer Sangwan

Abstract

An important hallmark of the human gut microbiota is its species diversity and complexity. Various diseases have been associated with a decreased diversity leading to reduced metabolic functionalities.

A figure from From Network Analysis to Functional Metabolic Modeling of the Human Gut Microbiota Functional Metabolic Modeling of the Gut Microbiota Bauer and Thiele — fig. from the paper

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Network and constraint‑based modeling reveal species‑specific metabolic differences and dynamic interactions in the human gut microbiota.

What’s new

i.Applied an automatic ModelSEED pipeline to reconstruct metabolic networks for 300 representative gut microbes
ii.Demonstrated compartmentalized community models that integrate multiple species and host metabolism
iii.Showed population‑based modeling of a six‑microbe community captures dynamic cross‑feeding and diet responses
iv.Highlighted the need for manual curation of reactions to ensure accurate directionality and stoichiometry
v.Discussed challenges such as horizontal gene transfer and assumptions of homogeneous cell populations

How they did it

Metabolic reconstructions were built by extracting reactions from biochemical databases, curating directionality, and assembling stoichiometric (S‑matrix) models. Flux balance analysis and its extensions (dynamic FBA, multi‑objective optimization) were used to simulate single‑species, compartmentalized, and population‑based community models. Model outputs were scaled to millimoles per gram dry weight per hour to compare metabolic capabilities.

What they found

Reconstructed metabolic networks for 300 gut microbial species using ModelSEED
Population‑based model of a six‑microbe community revealed highly active metabolism and dynamic cross‑feeding interactions
Compartmentalized community models can incorporate >100 species and predict host‑microbe metabolic exchanges

Caveats

✕Manual curation of reactions remains essential for accurate modeling
✕Population‑based approaches assume homogeneous cell populations, limiting prediction of individual‑level interactions
✕Horizontal gene transfer effects on community metabolism have not yet been studied

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