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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2017
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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. |
format | Online Article Text |
id | pubmed-5241448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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