Abstract
In recent years, microalgae has received a lot of attention as potential sources of renewable energy, especially given the increase in oil prices and environmental concerns. Therefore, microalgal systems biology can shed light on complex interactions in biological systems through integration of various omics data. Genome-scale metabolic reconstruction can provide insights into cellular metabolism and species-specific adaptive features, whereas in silico analysis is a powerful tool for analysis of metabolic flux and identification of gene targets for enhanced production of biofuel precursors. Here, we highlight the current state of research in microalgal systems biology and evaluate the potential for future sustainable microalgae-based biofuel engineering and development of “green cell factories.”
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List of Abbreviations
List of Abbreviations
- ACP:
-
Acyl carrier protein
- BOF:
-
Biomass object function
- C3:
-
Three-carbon
- CFPP:
-
Cold filter plugging point
- CoA:
-
Coenzyme A
- ER:
-
Endoplasmic reticulum
- FBA:
-
Flux balance analysis
- GPR:
-
Gene-protein-reaction
- HMG-CoA:
-
3-hydroxy-3-methylglutaryl-CoA
- IPP:
-
Isopentenyl diphosphate
- MEP:
-
2-C-methyl-D-erythritol 4-phosphate
- MVA:
-
Mevalonate
- PGA:
-
3-phosphoglyceric acid
- PhPP:
-
Phenotype phase plane analysis
- RACE:
-
Rapid amplification of cDNA ends
- RubisCO:
-
Ribulose-1,5-bisphosphate carboxylase/oxygenase
- TAG:
-
Triacylglycerol
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Hong, SJ., Lee, CG. (2015). Microalgal Systems Biology for Biofuel Production. In: Prokop, A., Bajpai, R., Zappi, M. (eds) Algal Biorefineries. Springer, Cham. https://doi.org/10.1007/978-3-319-20200-6_1
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