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Evolutionary constraints permeate large metabolic networks

BACKGROUND: Metabolic networks show great evolutionary plasticity, because they can differ substantially even among closely related prokaryotes. Any one metabolic network can also effectively compensate for the blockage of individual reactions by rerouting metabolic flux through other pathways. Thes...

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Autor principal: Wagner, Andreas
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2753571/
https://www.ncbi.nlm.nih.gov/pubmed/19747381
http://dx.doi.org/10.1186/1471-2148-9-231
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author Wagner, Andreas
author_facet Wagner, Andreas
author_sort Wagner, Andreas
collection PubMed
description BACKGROUND: Metabolic networks show great evolutionary plasticity, because they can differ substantially even among closely related prokaryotes. Any one metabolic network can also effectively compensate for the blockage of individual reactions by rerouting metabolic flux through other pathways. These observations, together with the continual discovery of new microbial metabolic pathways and enzymes, raise the possibility that metabolic networks are only weakly constrained in changing their complement of enzymatic reactions. RESULTS: To ask whether this is the case, I characterized pairwise and higher-order associations in the co-occurrence of genes encoding metabolic enzymes in more than 200 completely sequenced representatives of prokaryotic genera. The majority of reactions show constrained evolution. Specifically, genes encoding most reactions tend to co-occur with genes encoding other reaction(s). Constrained reaction pairs occur in small sets whose number is substantially greater than expected by chance alone. Most such sets are associated with single biochemical pathways. The respective genes are not always tightly linked, which renders horizontal co-transfer of constrained reaction sets an unlikely sole cause for these patterns of association. CONCLUSION: Even a limited number of available genomes suffices to show that metabolic network evolution is highly constrained by reaction combinations that are favored by natural selection. With increasing numbers of completely sequenced genomes, an evolutionary constraint-based approach may enable a detailed characterization of co-evolving metabolic modules.
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spelling pubmed-27535712009-09-29 Evolutionary constraints permeate large metabolic networks Wagner, Andreas BMC Evol Biol Research Article BACKGROUND: Metabolic networks show great evolutionary plasticity, because they can differ substantially even among closely related prokaryotes. Any one metabolic network can also effectively compensate for the blockage of individual reactions by rerouting metabolic flux through other pathways. These observations, together with the continual discovery of new microbial metabolic pathways and enzymes, raise the possibility that metabolic networks are only weakly constrained in changing their complement of enzymatic reactions. RESULTS: To ask whether this is the case, I characterized pairwise and higher-order associations in the co-occurrence of genes encoding metabolic enzymes in more than 200 completely sequenced representatives of prokaryotic genera. The majority of reactions show constrained evolution. Specifically, genes encoding most reactions tend to co-occur with genes encoding other reaction(s). Constrained reaction pairs occur in small sets whose number is substantially greater than expected by chance alone. Most such sets are associated with single biochemical pathways. The respective genes are not always tightly linked, which renders horizontal co-transfer of constrained reaction sets an unlikely sole cause for these patterns of association. CONCLUSION: Even a limited number of available genomes suffices to show that metabolic network evolution is highly constrained by reaction combinations that are favored by natural selection. With increasing numbers of completely sequenced genomes, an evolutionary constraint-based approach may enable a detailed characterization of co-evolving metabolic modules. BioMed Central 2009-09-11 /pmc/articles/PMC2753571/ /pubmed/19747381 http://dx.doi.org/10.1186/1471-2148-9-231 Text en Copyright © 2009 Wagner; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wagner, Andreas
Evolutionary constraints permeate large metabolic networks
title Evolutionary constraints permeate large metabolic networks
title_full Evolutionary constraints permeate large metabolic networks
title_fullStr Evolutionary constraints permeate large metabolic networks
title_full_unstemmed Evolutionary constraints permeate large metabolic networks
title_short Evolutionary constraints permeate large metabolic networks
title_sort evolutionary constraints permeate large metabolic networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2753571/
https://www.ncbi.nlm.nih.gov/pubmed/19747381
http://dx.doi.org/10.1186/1471-2148-9-231
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