Lu Hengqian, Chen Haiqin, Tang Xin, Zhao Jianxin, Zhang Hao, Chen Wei
School of Food Science and Technology, Jiangnan University, Wuxi 214122, Jiangsu, China.
Sheng Wu Gong Cheng Xue Bao. 2021 Mar 25;37(3):846-859. doi: 10.13345/j.cjb.200642.
Microbial oils are potential resources of fuels and food oils in the future. In recent years, with the rapid development of systems biology technology, understanding the physiological metabolism and lipid accumulation characteristics of oleaginous microorganisms from a global perspective has become a research focus. As an important tool for systems biology research, omics technology has been widely used to reveal the mechanism of high-efficiency production of oils by oleaginous microorganisms. This provides a basis for rational genetic modification and fermentation process control of oleaginous microorganisms. In this article, we summarize the application of omics technology in oleaginous microorganisms, introduced the commonly used sample pre-processing and data analysis methods for omics analysis of oleaginous microorganisms, reviewe the researches for revealing the mechanism of efficient lipid production by oleaginous microorganisms based on omics technologies including genomics, transcriptomics, proteomics (modification) and metabolomics (lipidomics), as well as mathematical models based on omics data. The future development and application of omics technology for microbial oil production are also proposed.
微生物油脂是未来燃料和食用油的潜在资源。近年来,随着系统生物学技术的快速发展,从全局角度了解产油微生物的生理代谢和脂质积累特性已成为研究热点。作为系统生物学研究的重要工具,组学技术已被广泛用于揭示产油微生物高效产油的机制。这为产油微生物的合理基因改造和发酵过程控制提供了依据。在本文中,我们总结了组学技术在产油微生物中的应用,介绍了产油微生物组学分析常用的样品预处理和数据分析方法,综述了基于基因组学、转录组学、蛋白质组学(修饰)和代谢组学(脂质组学)等组学技术揭示产油微生物高效产脂机制的研究,以及基于组学数据的数学模型。还提出了组学技术在微生物油脂生产中的未来发展和应用。