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Metabolic Networks of Sodalis glossinidius: A Systems Biology Approach to Reductive Evolution

BACKGROUND: Genome reduction is a common evolutionary process affecting bacterial lineages that establish symbiotic or pathogenic associations with eukaryotic hosts. Such associations yield highly reduced genomes with greatly streamlined metabolic abilities shaped by the type of ecological associati...

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Autores principales: Belda, Eugeni, Silva, Francisco J., Peretó, Juli, Moya, Andrés
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3265509/
https://www.ncbi.nlm.nih.gov/pubmed/22292008
http://dx.doi.org/10.1371/journal.pone.0030652
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author Belda, Eugeni
Silva, Francisco J.
Peretó, Juli
Moya, Andrés
author_facet Belda, Eugeni
Silva, Francisco J.
Peretó, Juli
Moya, Andrés
author_sort Belda, Eugeni
collection PubMed
description BACKGROUND: Genome reduction is a common evolutionary process affecting bacterial lineages that establish symbiotic or pathogenic associations with eukaryotic hosts. Such associations yield highly reduced genomes with greatly streamlined metabolic abilities shaped by the type of ecological association with the host. Sodalis glossinidius, the secondary endosymbiont of tsetse flies, represents one of the few complete genomes available of a bacterium at the initial stages of this process. In the present study, genome reduction is studied from a systems biology perspective through the reconstruction and functional analysis of genome-scale metabolic networks of S. glossinidius. RESULTS: The functional profile of ancestral and extant metabolic networks sheds light on the evolutionary events underlying transition to a host-dependent lifestyle. Meanwhile, reductive evolution simulations on the extant metabolic network can predict possible future evolution of S. glossinidius in the context of genome reduction. Finally, knockout simulations in different metabolic systems reveal a gradual decrease in network robustness to different mutational events for bacterial endosymbionts at different stages of the symbiotic association. CONCLUSIONS: Stoichiometric analysis reveals few gene inactivation events whose effects on the functionality of S. glossinidius metabolic systems are drastic enough to account for the ecological transition from a free-living to host-dependent lifestyle. The decrease in network robustness across different metabolic systems may be associated with the progressive integration in the more stable environment provided by the insect host. Finally, reductive evolution simulations reveal the strong influence that external conditions exert on the evolvability of metabolic systems.
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spelling pubmed-32655092012-01-30 Metabolic Networks of Sodalis glossinidius: A Systems Biology Approach to Reductive Evolution Belda, Eugeni Silva, Francisco J. Peretó, Juli Moya, Andrés PLoS One Research Article BACKGROUND: Genome reduction is a common evolutionary process affecting bacterial lineages that establish symbiotic or pathogenic associations with eukaryotic hosts. Such associations yield highly reduced genomes with greatly streamlined metabolic abilities shaped by the type of ecological association with the host. Sodalis glossinidius, the secondary endosymbiont of tsetse flies, represents one of the few complete genomes available of a bacterium at the initial stages of this process. In the present study, genome reduction is studied from a systems biology perspective through the reconstruction and functional analysis of genome-scale metabolic networks of S. glossinidius. RESULTS: The functional profile of ancestral and extant metabolic networks sheds light on the evolutionary events underlying transition to a host-dependent lifestyle. Meanwhile, reductive evolution simulations on the extant metabolic network can predict possible future evolution of S. glossinidius in the context of genome reduction. Finally, knockout simulations in different metabolic systems reveal a gradual decrease in network robustness to different mutational events for bacterial endosymbionts at different stages of the symbiotic association. CONCLUSIONS: Stoichiometric analysis reveals few gene inactivation events whose effects on the functionality of S. glossinidius metabolic systems are drastic enough to account for the ecological transition from a free-living to host-dependent lifestyle. The decrease in network robustness across different metabolic systems may be associated with the progressive integration in the more stable environment provided by the insect host. Finally, reductive evolution simulations reveal the strong influence that external conditions exert on the evolvability of metabolic systems. Public Library of Science 2012-01-24 /pmc/articles/PMC3265509/ /pubmed/22292008 http://dx.doi.org/10.1371/journal.pone.0030652 Text en Belda 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
Belda, Eugeni
Silva, Francisco J.
Peretó, Juli
Moya, Andrés
Metabolic Networks of Sodalis glossinidius: A Systems Biology Approach to Reductive Evolution
title Metabolic Networks of Sodalis glossinidius: A Systems Biology Approach to Reductive Evolution
title_full Metabolic Networks of Sodalis glossinidius: A Systems Biology Approach to Reductive Evolution
title_fullStr Metabolic Networks of Sodalis glossinidius: A Systems Biology Approach to Reductive Evolution
title_full_unstemmed Metabolic Networks of Sodalis glossinidius: A Systems Biology Approach to Reductive Evolution
title_short Metabolic Networks of Sodalis glossinidius: A Systems Biology Approach to Reductive Evolution
title_sort metabolic networks of sodalis glossinidius: a systems biology approach to reductive evolution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3265509/
https://www.ncbi.nlm.nih.gov/pubmed/22292008
http://dx.doi.org/10.1371/journal.pone.0030652
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