Lipid characterization of an arachidonic acid-rich oil producing fungus Mortierella alpina

Wenjia Wu, Jiacheng Yan, Xiaojun Ji, Xin Zhang, Jingsheng Shang, Lina Sun, Lujing Ren, He Huang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Mortierella alpina has been considered as the most effective producer of arachidonic acid (ARA)-rich oil. It was found that several methods could improve the percentage of ARA in total lipids successfully, as they activated the desaturation system on the endoplasmic reticulum. Additionally, in M. alpina the ARA exists in several forms, such as triacylglycerol (TAG), and diacylglycerol (DAG). These forms are caused by different acyltransferases and they determine the nutrient value of the microbial oil. However, few works revealed detailed fatty acid distribution among lipid classes, which to some extent impeded the accurate regulation in ARA accumulation. Herein, this paper gives information on the accumulation process of main lipid classes and the changes of fatty acid composition in these lipids during ARA accumulation period in M. alpina. The result demonstrates that TAG was the dominant component of the total lipids, and it is the main form for ARA storage. The ARA enrichment stage occurred during 168-192 h when the amount of total lipids maintained steady. Further analysis indicated that the newly formed ARA-TAG might come from the incorporation and modification of saturated and monounsaturated fatty acids in other lipid classes. This work could be helpful for further optimization of ARA-rich TAG production.

Original languageEnglish
Pages (from-to)1183-1187
Number of pages5
JournalChinese Journal of Chemical Engineering
Volume23
Issue number7
DOIs
StatePublished - 1 Jul 2015

Keywords

  • Arachidonic acid
  • Lipid characterization
  • Mortierella alpina
  • Triacylglycerol

Fingerprint

Dive into the research topics of 'Lipid characterization of an arachidonic acid-rich oil producing fungus Mortierella alpina'. Together they form a unique fingerprint.

Cite this