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Reconstruction of the microalga Nannochloropsis salina genome-scale metabolic model with applications to lipid production.
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- Author(s): Loira N;Loira N;Loira N; Mendoza S; Mendoza S; Mendoza S; Paz Cortés M; Paz Cortés M; Paz Cortés M; Paz Cortés M; Rojas N; Rojas N; Travisany D; Travisany D; Travisany D; Genova AD; Genova AD; Genova AD; Gajardo N; Gajardo N; Ehrenfeld N; Ehrenfeld N; Maass A; Maass A; Maass A
- Source:
BMC systems biology [BMC Syst Biol] 2017 Jul 04; Vol. 11 (1), pp. 66. Date of Electronic Publication: 2017 Jul 04.- Publication Type:
Journal Article- Language:
English - Source:
- Additional Information
- Source: Publisher: BioMed Central Country of Publication: England NLM ID: 101301827 Publication Model: Electronic Cited Medium: Internet ISSN: 1752-0509 (Electronic) Linking ISSN: 17520509 NLM ISO Abbreviation: BMC Syst Biol Subsets: MEDLINE
- Publication Information: Original Publication: London : BioMed Central
- Subject Terms:
- Abstract: Background: Nannochloropsis salina (= Eustigmatophyceae) is a marine microalga which has become a biotechnological target because of its high capacity to produce polyunsaturated fatty acids and triacylglycerols. It has been used as a source of biofuel, pigments and food supplements, like Omega 3. Only some Nannochloropsis species have been sequenced, but none of them benefit from a genome-scale metabolic model (GSMM), able to predict its metabolic capabilities.
Results: We present iNS934, the first GSMM for N. salina, including 2345 reactions, 934 genes and an exhaustive description of lipid and nitrogen metabolism. iNS934 has a 90% of accuracy when making simple growth/no-growth predictions and has a 15% error rate in predicting growth rates in different experimental conditions. Moreover, iNS934 allowed us to propose 82 different knockout strategies for strain optimization of triacylglycerols.
Conclusions: iNS934 provides a powerful tool for metabolic improvement, allowing predictions and simulations of N. salina metabolism under different media and genetic conditions. It also provides a systemic view of N. salina metabolism, potentially guiding research and providing context to -omics data. - References: Mar Drugs. 2016 Mar 25;14 (4):null. (PMID: 27023568)
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Trends Biotechnol. 2014 Oct;32(10):521-8. (PMID: 25168414) - Contributed Indexing: Keywords: Genome-scale Metabolic model; Microalgæ; Nannochloropsis salina; TAG
- Accession Number: 0 (Lipids)
N762921K75 (Nitrogen) - Publication Date: Date Created: 20170706 Date Completed: 20180312 Latest Revision: 20181113
- Publication Date: 20240829
- Accession Number: PMC5496344
- Accession Number: 10.1186/s12918-017-0441-1
- Accession Number: 28676050
- Source:
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