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Reconstruction and analysis of a genome-scale metabolic model of the oleaginous fungus Mortierella alpina
BACKGROUND: Mortierella alpina is an oleaginous fungus used in the industrial scale production of arachidonic acid (ARA). In order to investigate the metabolic characteristics at a systems level and to explore potential strategies for enhanced lipid production, a genome-scale metabolic model of M. a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301621/ https://www.ncbi.nlm.nih.gov/pubmed/25582171 http://dx.doi.org/10.1186/s12918-014-0137-8 |
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author | Ye, Chao Xu, Nan Chen, Haiqin Chen, Yong Q Chen, Wei Liu, Liming |
author_facet | Ye, Chao Xu, Nan Chen, Haiqin Chen, Yong Q Chen, Wei Liu, Liming |
author_sort | Ye, Chao |
collection | PubMed |
description | BACKGROUND: Mortierella alpina is an oleaginous fungus used in the industrial scale production of arachidonic acid (ARA). In order to investigate the metabolic characteristics at a systems level and to explore potential strategies for enhanced lipid production, a genome-scale metabolic model of M. alpina was reconstructed. RESULTS: This model included 1106 genes, 1854 reactions and 1732 metabolites. On minimal growth medium, 86 genes were identified as essential, whereas 49 essential genes were identified on yeast extract medium. A series of sequential desaturase and elongase catalysed steps are involved in the synthesis of polyunsaturated fatty acids (PUFAs) from acetyl-CoA precursors, with concomitant NADPH consumption, and these steps were investigated in this study. Oxygen is known to affect the degree of unsaturation of PUFAs, and robustness analysis determined that an oxygen uptake rate of 2.0 mmol gDW(−1) h(−1) was optimal for ARA accumulation. The flux of 53 reactions involving NADPH was significantly altered at different ARA levels. Of these, malic enzyme (ME) was confirmed as a key component in ARA production and NADPH generation. When using minimization of metabolic adjustment, a knock-out of ME led to a 38.28% decrease in ARA production. CONCLUSIONS: The simulation results confirmed the model as a useful tool for future research on the metabolism of PUFAs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-014-0137-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4301621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43016212015-01-22 Reconstruction and analysis of a genome-scale metabolic model of the oleaginous fungus Mortierella alpina Ye, Chao Xu, Nan Chen, Haiqin Chen, Yong Q Chen, Wei Liu, Liming BMC Syst Biol Research Article BACKGROUND: Mortierella alpina is an oleaginous fungus used in the industrial scale production of arachidonic acid (ARA). In order to investigate the metabolic characteristics at a systems level and to explore potential strategies for enhanced lipid production, a genome-scale metabolic model of M. alpina was reconstructed. RESULTS: This model included 1106 genes, 1854 reactions and 1732 metabolites. On minimal growth medium, 86 genes were identified as essential, whereas 49 essential genes were identified on yeast extract medium. A series of sequential desaturase and elongase catalysed steps are involved in the synthesis of polyunsaturated fatty acids (PUFAs) from acetyl-CoA precursors, with concomitant NADPH consumption, and these steps were investigated in this study. Oxygen is known to affect the degree of unsaturation of PUFAs, and robustness analysis determined that an oxygen uptake rate of 2.0 mmol gDW(−1) h(−1) was optimal for ARA accumulation. The flux of 53 reactions involving NADPH was significantly altered at different ARA levels. Of these, malic enzyme (ME) was confirmed as a key component in ARA production and NADPH generation. When using minimization of metabolic adjustment, a knock-out of ME led to a 38.28% decrease in ARA production. CONCLUSIONS: The simulation results confirmed the model as a useful tool for future research on the metabolism of PUFAs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-014-0137-8) contains supplementary material, which is available to authorized users. BioMed Central 2015-01-13 /pmc/articles/PMC4301621/ /pubmed/25582171 http://dx.doi.org/10.1186/s12918-014-0137-8 Text en © Ye et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Ye, Chao Xu, Nan Chen, Haiqin Chen, Yong Q Chen, Wei Liu, Liming Reconstruction and analysis of a genome-scale metabolic model of the oleaginous fungus Mortierella alpina |
title | Reconstruction and analysis of a genome-scale metabolic model of the oleaginous fungus Mortierella alpina |
title_full | Reconstruction and analysis of a genome-scale metabolic model of the oleaginous fungus Mortierella alpina |
title_fullStr | Reconstruction and analysis of a genome-scale metabolic model of the oleaginous fungus Mortierella alpina |
title_full_unstemmed | Reconstruction and analysis of a genome-scale metabolic model of the oleaginous fungus Mortierella alpina |
title_short | Reconstruction and analysis of a genome-scale metabolic model of the oleaginous fungus Mortierella alpina |
title_sort | reconstruction and analysis of a genome-scale metabolic model of the oleaginous fungus mortierella alpina |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301621/ https://www.ncbi.nlm.nih.gov/pubmed/25582171 http://dx.doi.org/10.1186/s12918-014-0137-8 |
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