Metabolic Engineering Strategies for the Enhanced Microalgal Production of Long-Chain Polyunsaturated Fatty Acids (LC-PUFAs)

被引:9
作者
Ghiffary, Mohammad Rifqi [1 ,2 ]
Kim, Hyun Uk [2 ]
Chang, Yong Keun [1 ,2 ]
机构
[1] Adv Biomass R&D Ctr, Daejeon 34141, South Korea
[2] Korea Adv Inst Sci & Technol, BK21 Plus Program, Dept Chem & Biomol Engn, Daejeon 34141, South Korea
基金
新加坡国家研究基金会;
关键词
long-chain polyunsaturated fatty acids (LC-PUFAs); metabolic engineering; microalgae; PHAEODACTYLUM-TRICORNUTUM; THALASSIOSIRA-PSEUDONANA; EICOSAPENTAENOIC ACID; TRANSCRIPTION FACTOR; LIPID PRODUCTION; OVEREXPRESSION; EXPRESSION; ACYLTRANSFERASE; ACCUMULATION; KNOCKDOWN;
D O I
10.1002/biot.201900043
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Long-chain polyunsaturated fatty acids (LC-PUFAs), largely obtained from fish oil, serve as valuable dietary supplements with many health benefits, especially arachidonic acid, eicosapentaenoic acid, and docosahexaenoic acid. In recent years, interest in the sustainable production of LC-PUFAs using heterologous production hosts has drastically increased because overfishing and polluted oceans have led to a gradual decline in the supply of LC-PUFAs from fish oil in the last few decades. Some species of microalgae have been considered to be an ideal producer of LC-PUFAs as they inherently accumulate large amounts of LC-PUFAs and utilize CO2 using light energy. Also, a growing number of genetic toolboxes have become available, and the microalgal cultivation process is amenable to a scale-up. In fact, tremendous progress has been achieved in the development of high-performance strains of microalgae through metabolic engineering that has led to the efficient production of fatty acids and various derivatives in the last decade. This review discusses metabolic engineering strategies that have contributed to the enhanced production of LC-PUFAs using microalgae, including optimizing fatty acid biosynthetic pathway and intracellular supply of precursors and cofactors, as well as engineering transcription factors.
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页数:7
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