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Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0

The complexity of metabolic networks in microbial communities poses an unresolved visualization and interpretation challenge. We address this challenge in the newly expanded version of a software tool for the analysis of biological networks, VisANT 5.0. We focus in particular on facilitating the vis...

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Autores principales: Granger, Brian R., Chang, Yi-Chien, Wang, Yan, DeLisi, Charles, Segrè, Daniel, Hu, Zhenjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833320/
https://www.ncbi.nlm.nih.gov/pubmed/27081850
http://dx.doi.org/10.1371/journal.pcbi.1004875
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author Granger, Brian R.
Chang, Yi-Chien
Wang, Yan
DeLisi, Charles
Segrè, Daniel
Hu, Zhenjun
author_facet Granger, Brian R.
Chang, Yi-Chien
Wang, Yan
DeLisi, Charles
Segrè, Daniel
Hu, Zhenjun
author_sort Granger, Brian R.
collection PubMed
description The complexity of metabolic networks in microbial communities poses an unresolved visualization and interpretation challenge. We address this challenge in the newly expanded version of a software tool for the analysis of biological networks, VisANT 5.0. We focus in particular on facilitating the visual exploration of metabolic interaction between microbes in a community, e.g. as predicted by COMETS (Computation of Microbial Ecosystems in Time and Space), a dynamic stoichiometric modeling framework. Using VisANT’s unique metagraph implementation, we show how one can use VisANT 5.0 to explore different time-dependent ecosystem-level metabolic networks. In particular, we analyze the metabolic interaction network between two bacteria previously shown to display an obligate cross-feeding interdependency. In addition, we illustrate how a putative minimal gut microbiome community could be represented in our framework, making it possible to highlight interactions across multiple coexisting species. We envisage that the “symbiotic layout” of VisANT can be employed as a general tool for the analysis of metabolism in complex microbial communities as well as heterogeneous human tissues. VisANT is freely available at: http://visant.bu.edu and COMETS at http://comets.bu.edu.
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spelling pubmed-48333202016-04-22 Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0 Granger, Brian R. Chang, Yi-Chien Wang, Yan DeLisi, Charles Segrè, Daniel Hu, Zhenjun PLoS Comput Biol Research Article The complexity of metabolic networks in microbial communities poses an unresolved visualization and interpretation challenge. We address this challenge in the newly expanded version of a software tool for the analysis of biological networks, VisANT 5.0. We focus in particular on facilitating the visual exploration of metabolic interaction between microbes in a community, e.g. as predicted by COMETS (Computation of Microbial Ecosystems in Time and Space), a dynamic stoichiometric modeling framework. Using VisANT’s unique metagraph implementation, we show how one can use VisANT 5.0 to explore different time-dependent ecosystem-level metabolic networks. In particular, we analyze the metabolic interaction network between two bacteria previously shown to display an obligate cross-feeding interdependency. In addition, we illustrate how a putative minimal gut microbiome community could be represented in our framework, making it possible to highlight interactions across multiple coexisting species. We envisage that the “symbiotic layout” of VisANT can be employed as a general tool for the analysis of metabolism in complex microbial communities as well as heterogeneous human tissues. VisANT is freely available at: http://visant.bu.edu and COMETS at http://comets.bu.edu. Public Library of Science 2016-04-15 /pmc/articles/PMC4833320/ /pubmed/27081850 http://dx.doi.org/10.1371/journal.pcbi.1004875 Text en © 2016 Granger et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Granger, Brian R.
Chang, Yi-Chien
Wang, Yan
DeLisi, Charles
Segrè, Daniel
Hu, Zhenjun
Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0
title Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0
title_full Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0
title_fullStr Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0
title_full_unstemmed Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0
title_short Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0
title_sort visualization of metabolic interaction networks in microbial communities using visant 5.0
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833320/
https://www.ncbi.nlm.nih.gov/pubmed/27081850
http://dx.doi.org/10.1371/journal.pcbi.1004875
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