Intervention of triethylamine on Dunaliella tertiolecta reveals metabolic insights into triacylglycerol accumulation
Introduction
Under the adverse environments, some plants or algae will accumulate triacylglycerols (TAGs). TAGs or oils can be converted to fatty acid methyl esters, which can be used in biodiesel production directly [1]. Compared to land plants, microalgae-based biofuels have important advantages over plant-based biofuels including its greater solar energy conversion efficiency, non-arable land utilization and high content of neutral lipids with energy-dense [2,3]. Besides, microalgae are single-cell photosynthetic organisms with a clear genetic background, which makes it possible to engineer microalgae genetically. Recently, D. tertiolecta has received considerable attention in recent years because of its efficient lipids production (up to 67% of the organism dry weight). Under environmental stimuli such as high light, salt stress, and nutrient deprivation, the lipid can further massively be accumulated in D. tertiolecta [4]. Another important advantage is that it lacks a rigid cell wall, which eases genetic manipulation and product extraction [5]. Furthermore, its cultivation process could eliminate contaminations from the clean cultures, utilize inorganic nutrients presented in brackish water, wastewater, or saltwater, along with the sunshine to generate biofuels by absorbing CO2 as a carbon source through photosynthesis.
Adding chemical inducers to algal culture medium is an effective way to promote the accumulation of oil in algal cells. Several chemical agents such as azide, pyridine, brefeldin A, epigallocatechin gallate, and triethylamine, were employed to trigger the biosynthesis at TAG [[6], [7], [8]]. Our previous study had found that triethylamine could boost and elevate the lipid production, resulting in a 36.8% and 33.0% increase in lipid production and lipid content per cell, respectively [9]. Triethylamine is the most effective lipid inducer for lipid content per cell ever discovered.
The de novo transcriptome assembly and quantitative gene expression analysis is a common strategy to analyze the channel metabolites and key enzymes to lipid biosynthesis in microalgae strains. There is a growing number of oleaginous microalgae from which de novo transcriptomes have been annotated and assembled but the quantitative gene expression analysis in these microalgae has not yet been conducted [[10], [11], [12], [13]]. Moreover, most of the transcriptome analysis of oil producing microalgae focused on the lipid metabolism pathway under nitrogen deficiency [14].
D. tertiolecta is known to produce large quantities of lipids in response to triethylamine stresses in our previous work [9]. But the mechanism behind it is still unclear. In the present study, we generated large-scale, highly reproducible transcript profiles of D. tertiolecta to elucidate the metabolic pathway interactions and regulatory mechanisms involved in the accumulation of TAG. D. tertiolecta was cultured under 100 ppm triethylamine and normal condition and major biomolecules including lipid productivity, lipid contents, and fatty acid methyl esters distribution were measured. The transcriptome was assembled de novo and sequenced, gene expression was quantified and analyzed, and comparative analysis of genes, pathways, and broader gene ontology categories was carried out. These findings enhance our understanding of TAG production in microalgae and will facilitate rational genetic engineering of this organism and other related species for the overproduction of TAG or other biological products.
Section snippets
Strains and cultivation conditions
D. tertiolecta strain FACHB, obtained from the Institute of Hydrobiology, Chinese Academy of Science, were grown in microalgae medium containing 1.5 M NaCl and cultivated for 10 days at 26 °C and 8000 lx under a 16/8 h dark/light cycle with shaking at 96 rpm [15]. For the sake of clarity, our work conducted is based on technical and biological triplicates. The results of the mean values are given in this article. Statistical analysis of gene expression, lipid content and growth rate were
Effect of triethylamine on lipid content and composition
To study the effects of triethylamine on algae cells, we monitored the biomass of D. tertiolecta and its morphology under a microscope. The biomass of D. tertiolecta in the control group showed a trend of gradual increase and then stabilized, while the number of algae cells in the drug-treated group added with triethylamine showed a downward trend (Fig. 1A). The number of algae cells in the experimental group decreased sharply within 24 h after adding triethylamine. Thereafter, the number of
Conclusion
Based on the analysis of TAG synthesis, fatty acid synthesis and oil-related transcription factors, we can design gene transformation strategies to achieve the purpose of high oil accumulation in Dunaliella. First of all, we can use RNAi to interfere with TPT genes to reduce the input of carbon source to the cytoplasm. In the cytoplasm, we can over express ME and interfere with CPK and PDC by RNAi to achieve the accumulation of PYR, the intermediate product of fatty acid synthesis. In
Abbreviations
- GPAT
glycerol-3-phosphate acyltransferase
- LPAAT
lysophosphatidic acid acyltransferase
- DGK
diacylglycerol kinase
- DGAT
diacylglycerol acyltransferase
- PDAT
phospholipid: diacylglycerol acyltransferase
- PAP
phosphatidic acid phosphatase
- PIPPLC
phosphoinositide phospholipase C
- CPT
cholinephosphotranseferase
- G3P
glycerol-3-phosphate
- Lyso-PA
lysophosphatidate
- DAG
diacylglycerol
- TAG
tracylglycerol
- PC
1,2-diacyl-sn-glycero-3-phosphocholine
- Pi
phosphate
- GK
glucose kinase
- GPI
glucose phosphate isomerase
- PFK
phosphofructose kinase
- PGK
CRediT authorship contribution statement
Hao-Hong Chen: Investigation, Methodology, Writing - original draft. Lu-Lu Xue: Data curation. Ming-Hua Liang: Investigation. Jian-Guo Jiang: Supervision, Writing - review & editing.
Declaration of competing interest
The authors declare no commercial or financial conflict of interest.
Acknowledgements
This work was supported by the National Natural Science Foundation of China (31571773, 31741100, 31871778, and 31801468), China Postdoctoral Science Foundation (2018M630950 and 2019T120733), Guangdong Province Science and Technology Plan Project (2016A010105002), Guangdong Provincial Bureau of Ocean and Fishery Science and Technology to Promote a Special (A20161A11), Guangdong Basic and Applied Basic Research Foundation (2019A1515010656), and the Fundamental Research Funds for the Central
Statement of informed consent, human/animal rights
No conflicts, informed consent, or human or animal rights are applicable to this study.
Authors' agreement to authorship and submission
All the authors agreed to the authorship and submission of the manuscript to Algal Research.
Declaration of authors' contributions
HC was the main author of this work. HC conducted laboratory experiments for this work. ML was the lead supervisor of the group on this project and JJ provided an overall assessment of this work. All authors read and approved the final manuscript.
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