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Functional Modules, Structural Topology, and Optimal Activity in Metabolic Networks
Modular organization in biological networks has been suggested as a natural mechanism by which a cell coordinates its metabolic strategies for evolving and responding to environmental perturbations. To understand how this occurs, there is a need for developing computational schemes that contribute t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3469419/ https://www.ncbi.nlm.nih.gov/pubmed/23071431 http://dx.doi.org/10.1371/journal.pcbi.1002720 |
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author | Resendis-Antonio, Osbaldo Hernández, Magdalena Mora, Yolanda Encarnación, Sergio |
author_facet | Resendis-Antonio, Osbaldo Hernández, Magdalena Mora, Yolanda Encarnación, Sergio |
author_sort | Resendis-Antonio, Osbaldo |
collection | PubMed |
description | Modular organization in biological networks has been suggested as a natural mechanism by which a cell coordinates its metabolic strategies for evolving and responding to environmental perturbations. To understand how this occurs, there is a need for developing computational schemes that contribute to integration of genomic-scale information and assist investigators in formulating biological hypotheses in a quantitative and systematic fashion. In this work, we combined metabolome data and constraint-based modeling to elucidate the relationships among structural modules, functional organization, and the optimal metabolic phenotype of Rhizobium etli, a bacterium that fixes nitrogen in symbiosis with Phaseolus vulgaris. To experimentally characterize the metabolic phenotype of this microorganism, we obtained the metabolic profile of 220 metabolites at two physiological stages: under free-living conditions, and during nitrogen fixation with P. vulgaris. By integrating these data into a constraint-based model, we built a refined computational platform with the capability to survey the metabolic activity underlying nitrogen fixation in R. etli. Topological analysis of the metabolic reconstruction led us to identify modular structures with functional activities. Consistent with modular activity in metabolism, we found that most of the metabolites experimentally detected in each module simultaneously increased their relative abundances during nitrogen fixation. In this work, we explore the relationships among topology, biological function, and optimal activity in the metabolism of R. etli through an integrative analysis based on modeling and metabolome data. Our findings suggest that the metabolic activity during nitrogen fixation is supported by interacting structural modules that correlate with three functional classifications: nucleic acids, peptides, and lipids. More fundamentally, we supply evidence that such modular organization during functional nitrogen fixation is a robust property under different environmental conditions. |
format | Online Article Text |
id | pubmed-3469419 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34694192012-10-15 Functional Modules, Structural Topology, and Optimal Activity in Metabolic Networks Resendis-Antonio, Osbaldo Hernández, Magdalena Mora, Yolanda Encarnación, Sergio PLoS Comput Biol Research Article Modular organization in biological networks has been suggested as a natural mechanism by which a cell coordinates its metabolic strategies for evolving and responding to environmental perturbations. To understand how this occurs, there is a need for developing computational schemes that contribute to integration of genomic-scale information and assist investigators in formulating biological hypotheses in a quantitative and systematic fashion. In this work, we combined metabolome data and constraint-based modeling to elucidate the relationships among structural modules, functional organization, and the optimal metabolic phenotype of Rhizobium etli, a bacterium that fixes nitrogen in symbiosis with Phaseolus vulgaris. To experimentally characterize the metabolic phenotype of this microorganism, we obtained the metabolic profile of 220 metabolites at two physiological stages: under free-living conditions, and during nitrogen fixation with P. vulgaris. By integrating these data into a constraint-based model, we built a refined computational platform with the capability to survey the metabolic activity underlying nitrogen fixation in R. etli. Topological analysis of the metabolic reconstruction led us to identify modular structures with functional activities. Consistent with modular activity in metabolism, we found that most of the metabolites experimentally detected in each module simultaneously increased their relative abundances during nitrogen fixation. In this work, we explore the relationships among topology, biological function, and optimal activity in the metabolism of R. etli through an integrative analysis based on modeling and metabolome data. Our findings suggest that the metabolic activity during nitrogen fixation is supported by interacting structural modules that correlate with three functional classifications: nucleic acids, peptides, and lipids. More fundamentally, we supply evidence that such modular organization during functional nitrogen fixation is a robust property under different environmental conditions. Public Library of Science 2012-10-11 /pmc/articles/PMC3469419/ /pubmed/23071431 http://dx.doi.org/10.1371/journal.pcbi.1002720 Text en © 2012 Resendis-Antonio 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Resendis-Antonio, Osbaldo Hernández, Magdalena Mora, Yolanda Encarnación, Sergio Functional Modules, Structural Topology, and Optimal Activity in Metabolic Networks |
title | Functional Modules, Structural Topology, and Optimal Activity in Metabolic Networks |
title_full | Functional Modules, Structural Topology, and Optimal Activity in Metabolic Networks |
title_fullStr | Functional Modules, Structural Topology, and Optimal Activity in Metabolic Networks |
title_full_unstemmed | Functional Modules, Structural Topology, and Optimal Activity in Metabolic Networks |
title_short | Functional Modules, Structural Topology, and Optimal Activity in Metabolic Networks |
title_sort | functional modules, structural topology, and optimal activity in metabolic networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3469419/ https://www.ncbi.nlm.nih.gov/pubmed/23071431 http://dx.doi.org/10.1371/journal.pcbi.1002720 |
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