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Exhaustive Analysis of a Genotype Space Comprising 10(15) Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation

All biological evolution takes place in a space of possible genotypes and their phenotypes. The structure of this space defines the evolutionary potential and limitations of an evolving system. Metabolism is one of the most ancient and fundamental evolving systems, sustaining life by extracting ener...

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Autores principales: Hosseini, Sayed-Rzgar, Barve, Aditya, Wagner, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4529314/
https://www.ncbi.nlm.nih.gov/pubmed/26252881
http://dx.doi.org/10.1371/journal.pcbi.1004329
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author Hosseini, Sayed-Rzgar
Barve, Aditya
Wagner, Andreas
author_facet Hosseini, Sayed-Rzgar
Barve, Aditya
Wagner, Andreas
author_sort Hosseini, Sayed-Rzgar
collection PubMed
description All biological evolution takes place in a space of possible genotypes and their phenotypes. The structure of this space defines the evolutionary potential and limitations of an evolving system. Metabolism is one of the most ancient and fundamental evolving systems, sustaining life by extracting energy from extracellular nutrients. Here we study metabolism’s potential for innovation by analyzing an exhaustive genotype-phenotype map for a space of 10(15) metabolisms that encodes all possible subsets of 51 reactions in central carbon metabolism. Using flux balance analysis, we predict the viability of these metabolisms on 10 different carbon sources which give rise to 1024 potential metabolic phenotypes. Although viable metabolisms with any one phenotype comprise a tiny fraction of genotype space, their absolute numbers exceed 10(9) for some phenotypes. Metabolisms with any one phenotype typically form a single network of genotypes that extends far or all the way through metabolic genotype space, where any two genotypes can be reached from each other through a series of single reaction changes. The minimal distance of genotype networks associated with different phenotypes is small, such that one can reach metabolisms with novel phenotypes – viable on new carbon sources – through one or few genotypic changes. Exceptions to these principles exist for those metabolisms whose complexity (number of reactions) is close to the minimum needed for viability. Increasing metabolic complexity enhances the potential for both evolutionary conservation and evolutionary innovation.
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spelling pubmed-45293142015-08-12 Exhaustive Analysis of a Genotype Space Comprising 10(15) Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation Hosseini, Sayed-Rzgar Barve, Aditya Wagner, Andreas PLoS Comput Biol Research Article All biological evolution takes place in a space of possible genotypes and their phenotypes. The structure of this space defines the evolutionary potential and limitations of an evolving system. Metabolism is one of the most ancient and fundamental evolving systems, sustaining life by extracting energy from extracellular nutrients. Here we study metabolism’s potential for innovation by analyzing an exhaustive genotype-phenotype map for a space of 10(15) metabolisms that encodes all possible subsets of 51 reactions in central carbon metabolism. Using flux balance analysis, we predict the viability of these metabolisms on 10 different carbon sources which give rise to 1024 potential metabolic phenotypes. Although viable metabolisms with any one phenotype comprise a tiny fraction of genotype space, their absolute numbers exceed 10(9) for some phenotypes. Metabolisms with any one phenotype typically form a single network of genotypes that extends far or all the way through metabolic genotype space, where any two genotypes can be reached from each other through a series of single reaction changes. The minimal distance of genotype networks associated with different phenotypes is small, such that one can reach metabolisms with novel phenotypes – viable on new carbon sources – through one or few genotypic changes. Exceptions to these principles exist for those metabolisms whose complexity (number of reactions) is close to the minimum needed for viability. Increasing metabolic complexity enhances the potential for both evolutionary conservation and evolutionary innovation. Public Library of Science 2015-08-07 /pmc/articles/PMC4529314/ /pubmed/26252881 http://dx.doi.org/10.1371/journal.pcbi.1004329 Text en © 2015 Hosseini 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
Hosseini, Sayed-Rzgar
Barve, Aditya
Wagner, Andreas
Exhaustive Analysis of a Genotype Space Comprising 10(15) Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation
title Exhaustive Analysis of a Genotype Space Comprising 10(15) Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation
title_full Exhaustive Analysis of a Genotype Space Comprising 10(15) Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation
title_fullStr Exhaustive Analysis of a Genotype Space Comprising 10(15) Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation
title_full_unstemmed Exhaustive Analysis of a Genotype Space Comprising 10(15) Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation
title_short Exhaustive Analysis of a Genotype Space Comprising 10(15) Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation
title_sort exhaustive analysis of a genotype space comprising 10(15) central carbon metabolisms reveals an organization conducive to metabolic innovation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4529314/
https://www.ncbi.nlm.nih.gov/pubmed/26252881
http://dx.doi.org/10.1371/journal.pcbi.1004329
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