Biosynthesis of Triacylglycerol Molecules with a Tailored PUFA Profile in Industrial Microalgae

Overview
TitleBiosynthesis of Triacylglycerol Molecules with a Tailored PUFA Profile in Industrial Microalgae
AuthorsXin Y, Shen C, She Y, Chen H, Wang C, Wei L, Yoon K, Han D, Hu Q, Xu J
TypeJournal Article
Journal NameMolecular plant
Volume12
Issue4
Year2019
Page(s)474-488
CitationXin Y, Shen C, She Y, Chen H, Wang C, Wei L, Yoon K, Han D, Hu Q, Xu J. Biosynthesis of Triacylglycerol Molecules with a Tailored PUFA Profile in Industrial Microalgae. Molecular plant. 2019 04 01; 12(4):474-488.

Abstract

The composition of polyunsaturated fatty acids (PUFAs) in triacylglycerols (TAGs) is key to health benefits and for oil applications, yet the underlying genetic mechanism remains poorly understood. In this study, by in silico, ex vivo, and in vivo profiling of type-2 diacylglycerol acyltransferases (DGAT2s) in Nannochloropsis oceanica we revealed two novel PUFA-preferring enzymes that discriminate individual PUFA species in TAG assembly, with NoDGAT2J for linoleic acid (LA) and NoDGAT2K for eicosapentaenoic acid (EPA). The LA and EPA composition of TAG molecules is mediated in vivo via the functional partitioning between NoDGAT2J and 2K, both of which are localized in the chloroplast envelope. By modulating transcript abundance of the DGAT2s, an N. oceanica strain bank was created, where proportions of LA and EPA in TAG vary by 18.7-fold (between 0.21% and 3.92% dry weight) and 34.7-fold (between 0.09% and 3.12% dry weight), respectively. These findings lay the foundation for producing designer TAG molecules with tailored health benefits or for biofuel applications in industrial microalgae and higher-plant crops.

Properties
Additional details for this publication include:
Property NameValue
Journal CountryEngland
Publication TypeJournal Article
Language Abbreng
LanguageEnglish
CopyrightCopyright © 2018 The Author. Published by Elsevier Inc. All rights reserved.
DOI10.1016/j.molp.2018.12.007
Elocation10.1016/j.molp.2018.12.007
PIIS1674-2052(18)30374-5
Journal AbbreviationMol Plant
Publication Date2019 04 01
eISSN1752-9867
ISSN1752-9867
Publication ModelPrint-Electronic
Publication TypeResearch Support, Non-U.S. Gov't
Cross References
This publication is also available in the following databases:
DatabaseAccession
PMID: PubMedPMID:30580039