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Author |
Loira, N.; Mendoza, S.; Cortes, M.P.; Rojas, N.; Travisany, D.; Di Genova, A.; Gajardo, N.; Ehrenfeld, N.; Maass, A. |
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Title |
Reconstruction of the microalga Nannochloropsis salina genome-scale metabolic model with applications to lipid production |
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Year |
2017 |
Publication |
Bmc Systems Biology |
Abbreviated Journal |
BMC Syst. Biol. |
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11 |
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Pages |
17 pp |
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Keywords |
Genome-scale Metabolic model; Nannochloropsis salina; TAG; Microalg ae |
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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. |
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Address |
[Loira, Nicolas; Mendoza, Sebastian; Paz Cortes, Maria; Travisany, Dante; Di Genova, Alex; Maass, Alejandro] Univ Chile, Ctr Math Modeling, Math, Beauchef 851,7th Floor, Santiago, Chile, Email: nloira@dim.uchile.cl |
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Publisher |
Biomed Central Ltd |
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English |
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ISSN |
1752-0509 |
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Notes |
WOS:000404918700001 |
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Call Number |
UAI @ eduardo.moreno @ |
Serial |
744 |
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