Title
Reconstruction of the microalga Nannochloropsis salina genome-scale metabolic model with applications to lipid production.
Abstract
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.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.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.
Year
DOI
Venue
2017
10.1186/s12918-017-0441-1
BMC Systems Biology
Keywords
Field
DocType
Genome-scale Metabolic model,Microalgæ,Nannochloropsis salina,TAG
Genome,Metabolic Model,Biology,Nannochloropsis salina,Botany,Systems biology,Cell biology,Computational biology,Polyunsaturated fatty acid,Nannochloropsis
Journal
Volume
Issue
ISSN
11
1
1752-0509
Citations 
PageRank 
References 
0
0.34
12
Authors
9