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Genome-Scale Metabolic Modeling of Archaea Lends Insight into Diversity of Metabolic Function

Decades of biochemical, bioinformatic, and sequencing data are currently being systematically compiled into genome-scale metabolic reconstructions (GEMs). Such reconstructions are knowledge-bases useful for engineering, modeling, and comparative analysis. Here we review the fifteen GEMs of archaeal...

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Autores principales: Thor, ShengShee, Peterson, Joseph R., Luthey-Schulten, Zaida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241448/
https://www.ncbi.nlm.nih.gov/pubmed/28133437
http://dx.doi.org/10.1155/2017/9763848
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author Thor, ShengShee
Peterson, Joseph R.
Luthey-Schulten, Zaida
author_facet Thor, ShengShee
Peterson, Joseph R.
Luthey-Schulten, Zaida
author_sort Thor, ShengShee
collection PubMed
description Decades of biochemical, bioinformatic, and sequencing data are currently being systematically compiled into genome-scale metabolic reconstructions (GEMs). Such reconstructions are knowledge-bases useful for engineering, modeling, and comparative analysis. Here we review the fifteen GEMs of archaeal species that have been constructed to date. They represent primarily members of the Euryarchaeota with three-quarters comprising representative of methanogens. Unlike other reviews on GEMs, we specially focus on archaea. We briefly review the GEM construction process and the genealogy of the archaeal models. The major insights gained during the construction of these models are then reviewed with specific focus on novel metabolic pathway predictions and growth characteristics. Metabolic pathway usage is discussed in the context of the composition of each organism's biomass and their specific energy and growth requirements. We show how the metabolic models can be used to study the evolution of metabolism in archaea. Conservation of particular metabolic pathways can be studied by comparing reactions using the genes associated with their enzymes. This demonstrates the utility of GEMs to evolutionary studies, far beyond their original purpose of metabolic modeling; however, much needs to be done before archaeal models are as extensively complete as those for bacteria.
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spelling pubmed-52414482017-01-29 Genome-Scale Metabolic Modeling of Archaea Lends Insight into Diversity of Metabolic Function Thor, ShengShee Peterson, Joseph R. Luthey-Schulten, Zaida Archaea Review Article Decades of biochemical, bioinformatic, and sequencing data are currently being systematically compiled into genome-scale metabolic reconstructions (GEMs). Such reconstructions are knowledge-bases useful for engineering, modeling, and comparative analysis. Here we review the fifteen GEMs of archaeal species that have been constructed to date. They represent primarily members of the Euryarchaeota with three-quarters comprising representative of methanogens. Unlike other reviews on GEMs, we specially focus on archaea. We briefly review the GEM construction process and the genealogy of the archaeal models. The major insights gained during the construction of these models are then reviewed with specific focus on novel metabolic pathway predictions and growth characteristics. Metabolic pathway usage is discussed in the context of the composition of each organism's biomass and their specific energy and growth requirements. We show how the metabolic models can be used to study the evolution of metabolism in archaea. Conservation of particular metabolic pathways can be studied by comparing reactions using the genes associated with their enzymes. This demonstrates the utility of GEMs to evolutionary studies, far beyond their original purpose of metabolic modeling; however, much needs to be done before archaeal models are as extensively complete as those for bacteria. Hindawi Publishing Corporation 2017-01-04 /pmc/articles/PMC5241448/ /pubmed/28133437 http://dx.doi.org/10.1155/2017/9763848 Text en Copyright © 2017 ShengShee Thor et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Thor, ShengShee
Peterson, Joseph R.
Luthey-Schulten, Zaida
Genome-Scale Metabolic Modeling of Archaea Lends Insight into Diversity of Metabolic Function
title Genome-Scale Metabolic Modeling of Archaea Lends Insight into Diversity of Metabolic Function
title_full Genome-Scale Metabolic Modeling of Archaea Lends Insight into Diversity of Metabolic Function
title_fullStr Genome-Scale Metabolic Modeling of Archaea Lends Insight into Diversity of Metabolic Function
title_full_unstemmed Genome-Scale Metabolic Modeling of Archaea Lends Insight into Diversity of Metabolic Function
title_short Genome-Scale Metabolic Modeling of Archaea Lends Insight into Diversity of Metabolic Function
title_sort genome-scale metabolic modeling of archaea lends insight into diversity of metabolic function
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241448/
https://www.ncbi.nlm.nih.gov/pubmed/28133437
http://dx.doi.org/10.1155/2017/9763848
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