Current advances in molecular, biochemical, and computational modeling analysis of microalgal triacylglycerol biosynthesis.
Triacylglycerols (TAGs) are highly reduced energy storage molecules ideal for biodiesel production. Microalgal TAG biosynthesis has been studied extensively in recent years, both at the molecular level and systems level through experimental studies and computational modeling. However, discussions of the strategies and products of the experimental and modeling approaches are rarely integrated and summarized together in a way that promotes collaboration among modelers and biologists in this field. In this review, we outline advances toward understanding the cellular and molecular factors regulating TAG biosynthesis in unicellular microalgae with an emphasis on recent studies on rate-limiting steps in fatty acid and TAG synthesis, while also highlighting new insights obtained from the integration of multi-omics datasets with mathematical models. Computational methodologies such as kinetic modeling, metabolic flux analysis, and new variants of flux balance analysis are explained in detail. We discuss how these methods have been used to simulate algae growth and lipid metabolism in response to changing culture conditions and how they have been used in conjunction with experimental validations. Since emerging evidence indicates that TAG synthesis in microalgae operates through coordinated crosstalk between multiple pathways in diverse subcellular destinations including the endoplasmic reticulum and plastids, we discuss new experimental studies and models that incorporate these findings for discovering key regulatory checkpoints. Finally, we describe tools for genetic manipulation of microalgae and their potential for future rational algal strain design. This comprehensive review explores the potential synergistic impact of pathway analysis, computational approaches, and molecular genetic manipulation strategies on improving TAG production in microalgae.
Institute of Marine and Environmental Technology, University of Maryland Center for Environmental Science and University of Maryland Baltimore County, Baltimore, MD 21202, USA.
Sangram K
SK
Lenka
Department of Chemistry and Biochemistry, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.
Nicole
N
Carbonaro
Department of Biological Sciences, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.
Rudolph
R
Park
Department of Biological Sciences, University of Maryland, Baltimore County, Baltimore, MD 21250, USA. Electronic address: stmiller@umbc.edu.
Stephen M
SM
Miller
Department of Chemistry and Biochemistry, University of Maryland, Baltimore County, Baltimore, MD 21250, USA. Electronic address: ithorpe@umbc.edu.
Ian
I
Thorpe
Institute of Marine and Environmental Technology, University of Maryland Center for Environmental Science and University of Maryland Baltimore County, Baltimore, MD 21202, USA. Electronic address: yantao@umces.edu.
Yantao
Y
Li
D056804:Biofuels; D019295:Computational Biology; D003198:Computer Simulation; D060847:Metabolic Engineering; D064688:Metabolic Flux Analysis; D058086:Microalgae; D014280:Triglycerides
D056804:Biofuels; D014280:Triglycerides
Biofuels; Computational modeling; Flux balance analysis; Lipid; Metabolic engineering; Microalgae; Omics; Triacylglycerol biosynthesis