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Emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism

BACKGROUND: The human gut contains approximately 10(14) bacteria, belonging to hundreds of different species. Together, these microbial species form a complex food web that can break down nutrient sources that our own digestive enzymes cannot handle, including complex polysaccharides, producing shor...

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Autores principales: Hoek, Milan J. A. van, Merks, Roeland M. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434578/
https://www.ncbi.nlm.nih.gov/pubmed/28511646
http://dx.doi.org/10.1186/s12918-017-0430-4
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author Hoek, Milan J. A. van
Merks, Roeland M. H.
author_facet Hoek, Milan J. A. van
Merks, Roeland M. H.
author_sort Hoek, Milan J. A. van
collection PubMed
description BACKGROUND: The human gut contains approximately 10(14) bacteria, belonging to hundreds of different species. Together, these microbial species form a complex food web that can break down nutrient sources that our own digestive enzymes cannot handle, including complex polysaccharides, producing short chain fatty acids and additional metabolites, e.g., vitamin K. Microbial diversity is important for colonic health: Changes in the composition of the microbiota have been associated with inflammatory bowel disease, diabetes, obesity and Crohn’s disease, and make the microbiota more vulnerable to infestation by harmful species, e.g., Clostridium difficile. To get a grip on the controlling factors of microbial diversity in the gut, we here propose a multi-scale, spatiotemporal dynamic flux-balance analysis model to study the emergence of metabolic diversity in a spatial gut-like, tubular environment. The model features genome-scale metabolic models (GEM) of microbial populations, resource sharing via extracellular metabolites, and spatial population dynamics and evolution. RESULTS: In this model, cross-feeding interactions emerge readily, despite the species’ ability to metabolize sugars autonomously. Interestingly, the community requires cross-feeding for producing a realistic set of short-chain fatty acids from an input of glucose, If we let the composition of the microbial subpopulations change during invasion of adjacent space, a complex and stratified microbiota evolves, with subspecies specializing on cross-feeding interactions via a mechanism of compensated trait loss. The microbial diversity and stratification collapse if the flux through the gut is enhanced to mimic diarrhea. CONCLUSIONS: In conclusion, this in silico model is a helpful tool in systems biology to predict and explain the controlling factors of microbial diversity in the gut. It can be extended to include, e.g., complex nutrient sources, and host-microbiota interactions via the intestinal wall. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-017-0430-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-54345782017-05-18 Emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism Hoek, Milan J. A. van Merks, Roeland M. H. BMC Syst Biol Research Article BACKGROUND: The human gut contains approximately 10(14) bacteria, belonging to hundreds of different species. Together, these microbial species form a complex food web that can break down nutrient sources that our own digestive enzymes cannot handle, including complex polysaccharides, producing short chain fatty acids and additional metabolites, e.g., vitamin K. Microbial diversity is important for colonic health: Changes in the composition of the microbiota have been associated with inflammatory bowel disease, diabetes, obesity and Crohn’s disease, and make the microbiota more vulnerable to infestation by harmful species, e.g., Clostridium difficile. To get a grip on the controlling factors of microbial diversity in the gut, we here propose a multi-scale, spatiotemporal dynamic flux-balance analysis model to study the emergence of metabolic diversity in a spatial gut-like, tubular environment. The model features genome-scale metabolic models (GEM) of microbial populations, resource sharing via extracellular metabolites, and spatial population dynamics and evolution. RESULTS: In this model, cross-feeding interactions emerge readily, despite the species’ ability to metabolize sugars autonomously. Interestingly, the community requires cross-feeding for producing a realistic set of short-chain fatty acids from an input of glucose, If we let the composition of the microbial subpopulations change during invasion of adjacent space, a complex and stratified microbiota evolves, with subspecies specializing on cross-feeding interactions via a mechanism of compensated trait loss. The microbial diversity and stratification collapse if the flux through the gut is enhanced to mimic diarrhea. CONCLUSIONS: In conclusion, this in silico model is a helpful tool in systems biology to predict and explain the controlling factors of microbial diversity in the gut. It can be extended to include, e.g., complex nutrient sources, and host-microbiota interactions via the intestinal wall. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-017-0430-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-16 /pmc/articles/PMC5434578/ /pubmed/28511646 http://dx.doi.org/10.1186/s12918-017-0430-4 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hoek, Milan J. A. van
Merks, Roeland M. H.
Emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism
title Emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism
title_full Emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism
title_fullStr Emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism
title_full_unstemmed Emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism
title_short Emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism
title_sort emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434578/
https://www.ncbi.nlm.nih.gov/pubmed/28511646
http://dx.doi.org/10.1186/s12918-017-0430-4
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