The aim of this experiment is to assess the impact of the introduced genetic circuit of PUFA synthase on the lipid profile, especially the DHA accumulation, in engineered Y. lipolytica using Gas Chromatography-Mass Spectrometry (GC-MS). The lipid profile of the non-engineered Y. lipolytica will be used as a control for measuring the changes in the lipid profile in the engineered Y. lipolytica.
Lipid extraction:
* All centrifugation was performed using Eppendorf Centrifuge 5702 R
Gravimetric analysis:
FAME (Fatty Acid Methyl Ester):
Gas Chromatography-Mass Spectrometry (GC-MS):
GC-MS for non-engineered Y. lipolytica:
Figure 1. GC-MS result of Linoleic acid (C18:2) Spectrum of the transesterified linoleic acid (C18:2) sample in GC-MS. The peak of the linoleic acid standard sample is indicated as a single intense peak.
Figure 2. NIST library of linoleic acid As one of the standards, a linoleic acid sample after FAME (Fatty Acid Methyl Ester) was tested. Mass spectra of the peaks were matched against the NIST library.
Figure 3. GC-MS result of Palmitic acid (c16:0)Spectrum of the transesterified palmitic acid (C16:0) sample in GC-MS. The peak of the palmitic acid standard sample is indicated as a single intense peak.
Figure 4. NIST library of palmitic acid As another standard, a palmitic acid sample after FAME (Fatty Acid Methyl Ester) was also tested. Mass spectra of the peaks were matched against the NIST library.
Figure 5. GC-MS result of lipid from Y. lipolytica cultured in YPD medium for 24h
Figure 6. GC-MS result of lipid from Y. lipolytica cultured in YPD medium for 48h
Lipid amount - gravimetric analysis:
Table 1. OD600 measurement and gravimetric analysis result
Figure 7. Lipid extract yield that is normalized to cell weight. The two-tailed P value was 0.0493, considered to be statistically significant.
GC-MS for non-engineered Y. lipolytica (grown in YNB medium)
GC-MS for engineered Y. lipolytica (specifically measure the DHA amount)
Applegate, B. L. (2007). “Extraction, Derivatization, and Analysis of Fatty Acid Methyl Ester (FAME) in
Tissue Homogenates and Blubber by ASE and Gas Chromatography.” Short description of FAME Analysis. Applied
Science, Engineering, and Technology Laboratory, University of Alaska Anchorage.
Gemperlein, K., Dietrich, D., Kohlstedt, M., Zipf, G., Bernauer, H. S., Wittmann, C., Wenzel, S. C., & Müller,
R. (2019). Polyunsaturated fatty acid production by Yarrowia lipolytica employing designed
myxobacterial PUFA
synthases. Nature Communications, 10(1), 4055.
https://doi.org/10.1038/s41467-019-12025-8
Liu, H., Song, Y., Fan, X., Wang, C., Lu, X., & Tian, Y. (2021). Yarrowia lipolytica as an oleaginous platform
for the production of value-added fatty acid-based bioproducts.
Frontiers in Microbiology, 11. https://doi.org/10.3389/fmicb.2020.608662
The aim of this experiment is to examine the influence of media type and different nitrogen source levels, and a peroxisome inhibitor (3-Amino-1,2,4-triazole(3-AT)) in lipid accumulation by using Nile blue and Nile Red staining assay.
Previous research shows that yeasts cultured in YNB (YNB-defined synthetic media) have higher lipid accumulation levels in cells than in YPD media (Gasovic et al, 2023). Additionally, nitrogen limitation can increase lipid accumulation levels. However, it only compares the most commonly used YNB media (with 5g/L ammonium sulfate as the nitrogen source) and YNB completely without the nitrogen source (Pomraning et al, 2016). Since nitrogen source levels may also affect the growth of the yeast, we decided to investigate the lipid accumulation levels under different nitrogen source levels and media types.
Some studies show that inhibiting peroxisome in Y. lipolytica can increase lipid accumulation (Xue et al, 2013). 3-amino-1,2,4-triazole (3-AT) has been proven to inhibit peroxisome by inhibiting the peroxisomal catalase (Ueda et al, 2003). We decided to add 3-AT to YPD media to investigate the lipid accumulation levels under the addition of peroxisome inhibitor.
Nile Blue Staining
Table 2. Plate design for Nile Blue staining of Y. lipolytica cultured in YPD and YNB (with 5 g/L ammonium sulfate)
Figure 8. Real plate for Nile Blue staining of Y. lipolytica cultured in YPD and YNB (with 5 g/L ammonium sulfate)
Nile Red Staining
Table 3. Plate design for Nile Red staining of Y. lipolytica cultured in YNB (with 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 g/L ammonium sulfate, respectively)
Figure 9. Real plate for Nile Red staining of Y. lipolytica cultured in YNB (with 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 g/L ammonium sulfate, respectively)
Table 4. Plate design for Nile Red staining of Y. lipolytica cultured in YPD and YPD (with 10mM 3-AT, a peroxisome inhibitor)
Figure 10. Real plate for Nile Red staining of Y. lipolytica cultured in YPD and YPD (with 10mM 3-AT, a peroxisome inhibitor)
Expected Results:
Nile Blue Staining
Figure 11. Nile Blue staining result of Y. lipolytica cultured in YPD and YNB (with 5 g/L ammonium sulfate)
Nile Red Staining of nitrogen limiting
Figure 12. Nile Red staining result of Y. lipolytica cultured in YNB (with 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 g/L ammonium sulfate, respectively)
Nile Red Staining of peroxisome inhibitor
Figure 13. Nile Red staining result of Y. lipolytica cultured in YPD and YPD (with 10mM 3-AT, a peroxisome inhibitor)
Jovanovic Gasovic, S., Dietrich, D., Gläser, L., Cao, P., Kohlstedt, M., & Wittmann, C. (2023). Multi-omics
view of recombinant Yarrowia lipolytica: Enhanced ketogenic amino acid catabolism increases
polyketide-synthase-driven docosahexaenoic production to high selectivity at the gram scale. Metabolic
Engineering, 80, 45–65.
https://doi.org/10.1016/j.ymben.2023.09.003
Pomraning, K. R., Kim, Y.-M., Nicora, C. D., Chu, R. K., Bredeweg, E. L., Purvine, S. O., Hu, D., Metz, T. O.,
& Baker, S. E. (2016). Multi-omics analysis reveals regulators of the response to nitrogen limitation in
Yarrowia lipolytica. BMC Genomics, 17(1), 138.
https://doi.org/10.1186/s12864-016-2471-2
Rakicka, M., Lazar, Z., Dulermo, T., Fickers, P., & Nicaud, J. M. (2015). Lipid production by the oleaginous
yeast Yarrowia lipolytica using industrial by-products under different culture conditions. Biotechnology for
Biofuels, 8(1), 104.
https://doi.org/10.1186/s13068-015-0286-z
Rostron, K. A., & Lawrence, C. L. (2017).
Nile red staining of neutral lipids in yeast. In C. Pellicciari & M. Biggiogera (Eds.), Histochemistry of
Single Molecules (Vol. 1560, pp. 219–229). Springer New York.
https://doi.org/10.1007/978-1-4939-6788-9_16
Ueda, M., Kinoshita, H., Yoshida, T., Kamasawa, N., Osumi, M., & Tanaka, A. (2003). Effect of catalase-specific
inhibitor 3-amino-1,2,4-triazole on yeast peroxisomal catalase in vivo. FEMS Microbiology Letters, 219(1),
93–98.
https://doi.org/10.1016/S0378-1097(02)01201-6
Xue, Z., Sharpe, P. L., Hong, S.-P., Yadav, N. S., Xie, D., Short, D. R., Damude, H. G., Rupert, R. A., Seip, J.
E., Wang, J., Pollak, D. W., Bostick, M. W., Bosak, M. D., Macool, D. J., Hollerbach, D. H., Zhang, H., Arcilla,
D. M., Bledsoe, S. A., Croker, K., … Zhu, Q. (2013). Production of omega-3 eicosapentaenoic acid by metabolic
engineering of Yarrowia lipolytica. Nature Biotechnology, 31(8), 734–740.
https://doi.org/10.1038/nbt.2622
We thank Biosciences Central Research Facility of HKUST (Clear Water Bay) to support the work in general equipment core.
The aim of this experiment is to examine the concentration of DHA in engineered Y. lipolytica culture.
DHA standard curve:
* All measurement was performed using BioDrop μLite Spectrophotometer.
Figure 14. DHA Standard Curve (205nm)
DHA measurement:
* All measurement was performed using BioDrop μLite Spectrophotometer.
Sahi, A. K., Anjali, Varshney, N., Poddar, S., Vajanthri, K. Y., & Mahto, S. K. (2019). Optimizing a detection method for estimating polyunsaturated fatty acid in human milk based on colorimetric sensors. Materials Science for Energy Technologies, 2(3), 624–628. https://doi.org/10.1016/j.mset.2019.07.001
The aim of this experiment is to examine the growth of Y. lipolytica in medium with glucose versus glycerol as the carbon source. The recorded data is analysed to estimate the time period of each growth phase, the carrying capacity, and the theoretical growth rate.
Y. Lipolytica Growth Curve:
Conditions
General Conditions:
Variable Conditions:
Results & Analysis:
Figure 15. Sept 16th Growth Curve
First Derivative :
Steps | Function |
---|---|
Carbon Source | Maximum Growth Rate |
20g/L Glucose (Control) | 0.2245 |
20g/L Glycerol | 0.2410 |
40g/L Glucose | 0.1840 |
40g/L Glycerol | 0.2725 |
Figure 16. Sept 16th First Derivative
From our results, we identified that glycerol has a higher maximum growth rate than glucose for both concentrations. It was also observed that the cell culture reaches mid exponential phase earlier when using glycerol as the carbon source, which agrees with our modelling results.
Y. lipolytica is known of its ability to utilize waste carbon sources for growth, such as crude glycerol and waste cooking oils. In the future, we hope to evaluate the efficiency of using waste carbon sources as media to reduce the environmental impact and costs of yeast cultivation, as well as potential future work to further optimize our production process.
The aim of this experiment is to assess the expression of each subunit of PUFA synthase.
Each subunit of PUFA synthase is attached to a His-tag, so we use a His-tag antibody as our primary antibody. An anti-Rabbit/Mouse IgG antibody is used as our secondary antibody.
Protein Sample Preparation
Sodium Dodecyl Sulphate Polyacrylamide Gel Electrophoresis (SDS-PAGE)
Western Blot
We will be able to detect the subunit of PUFA synthase in our engineered Y. lipolytica.
Nevada. (2014). Western Blot to Examine Yeast Strains for Protein Expression. iGEM. https://static.igem.org/mediawiki/2014/5/52/UNR_Western_Blot_Protocol_to_detect_GFP_in_yeast.pdf