ArticleBMC systems biology2017
Reconstruction of the microalga Nannochloropsis salina genome-scale metabolic model with applications to lipid production.
Article in BMC systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 57 citations in OpenAlex.
- Microalgal cell factories for bioenergy and climate action: a circular bioeconomy roadmap.Microbial cell factories · 2026Review
- Predictive Algal Systems Biology: Integrating Omics, Genome-Scale Metabolic Models, and Machine Learning.Bioengineering (Basel, Switzerland) · 2026Review
- Charting the state of GEMs in microalgae: progress, challenges, and innovations.Frontiers in plant science · 2025Review
- Metabolic modeling of Halomonas campaniensis improves polyhydroxybutyrate production under nitrogen limitation.Applied microbiology and biotechnology · 2024Article
- Identification of gene function based on models capturing natural variability of Arabidopsis thaliana lipid metabolism.Nature communications · 2023Article
- Toward mechanistic modeling and rational engineering of plant respiration.Plant physiology · 2023Article
- Optimization of nutrient utilization efficiency and productivity for algal cultures under light and dark cycles using genome-scale model process control.NPJ systems biology and applications · 2023Article
- The paradoxes hidden behind the Droop model highlighted by a metabolic approach.Frontiers in plant science · 2022Article
- Metabolic pathway analysis of walnut endophytic bacterium Bacillus subtilis HB1310 related to lipid production from fermentation of cotton stalk hydrolysate based on genome sequencing.Biotechnology letters · 2021Article
- A Genome-Scale Metabolic Model ofMicroorganisms · 2020Article
- Current Status and Applications of Adaptive Laboratory Evolution in Industrial Microorganisms.Journal of microbiology and biotechnology · 2020Review
- Biochemical Characteristics and a Genome-Scale Metabolic Model of an Indian Euryhaline Cyanobacterium with High Polyglucan Content.Metabolites · 2020Article
- Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina.BMC bioinformatics · 2020Article
- An adjustable algal chloroplast plug-and-play model for genome-scale metabolic models.PloS one · 2020Article
- Genome-Scale Metabolic Networks Shed Light on the Carotenoid Biosynthesis Pathway in the Brown AlgaeAntioxidants (Basel, Switzerland) · 2019Article
- Nuclear Genome Assembly of the Microalga Nannochloropsis salina CCMP1776.Microbiology resource announcements · 2019Article
- Advanced genetic tools enable synthetic biology in the oleaginous microalgae Nannochloropsis sp.Plant cell reports · 2018Review
- Recent developments in synthetic biology and metabolic engineering in microalgae towards biofuel production.Biotechnology for biofuels · 2018Review
- Advances in metabolic modeling of oleaginous microalgae.Biotechnology for biofuels · 2018Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNannochloropsis 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.
resultsWe 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.
conclusionsiNS934 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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