Abstract
Biosynthesis of fatty alcohol holds great promise as substitute to replace petroleum-derived fatty alcohols to mitigate environmental concerns and reduce earth’s carbon footprint. In this protocol, we detail the procedures of how to use the YaliBrick gene assembly platform to achieve modular assembly of fatty alcohol pathway in Y. lipolytica. To limit fatty alcohol oxidation, we will also describe the hydroxyurea-based protocols for the efficient disruption of POX1 gene, encoding the fatty acyl coenzyme A in Y. lipolytica, with the homologous arm about 500 bp. We envision that this chapter would improve our ability to engineer microbial cell factories for oleochemical and fatty alcohol production in oleaginous yeast species.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang G, Xiong X, Ghogare R, Wang P, Meng Y, Chen S (2016) Exploring fatty alcohol-producing capability of Yarrowia lipolytica. Biotechnol Biofuels 9:107
Noweck K, Grafahrend W (2000) Fatty alcohols. In: Ullmann’s encyclopedia of industrial chemistry. Wiley-VCH KGaA, Weinheim
Xu P, Qiao K, Stephanopoulos G (2017) Engineering oxidative stress defense pathways to build a robust lipid production platform in Yarrowia lipolytica. Biotechnol Bioeng 114(7):1521–1530
Fillet S, Gibert J, Suárez B, Lara A, Ronchel C, Adrio JL (2015) Fatty alcohols production by oleaginous yeast. J Ind Microbiol Biotechnol 42(11):1463–1472
Carlsson AS, Yilmaz JL, Green AG, Stymne S, Hofvander P (2011) Replacing fossil oil with fresh oil–with what and for what? Eur J Lipid Sci Technol 113(7):812–831
Fargione J, Hill J, Tilman D, Polasky S, Hawthorne P (2008) Land clearing and the biofuel carbon debt. Science 319(5867):1235–1238
Xu P, Qiao K, Ahn WS, Stephanopoulos G (2016) Engineering Yarrowia lipolytica as a platform for synthesis of drop-in transportation fuels and oleochemicals. Proc Natl Acad Sci 113(39):10848–10853
Wong L, Engel J, Jin E, Holdridge B, Xu P (2017) YaliBricks, a versatile genetic toolkit for streamlined and rapid pathway engineering in Yarrowia lipolytica. Metab Eng Commun 5(Supplement C):68–77
Tsakraklides V, Brevnova E, Stephanopoulos G, Shaw AJ (2015) Improved gene targeting through cell cycle synchronization. PLoS One 10(7):e0133434
Xu P, Vansiri A, Bhan N, Koffas M (2012) ePathBrick: a synthetic biology platform for engineering metabolic pathways in E-coli. ACS Synth Biol 1(7):256–266
Xu P, Koffas MAG, Polizzi K, Kontoravdi C (2013) Assembly of multi-gene pathways and combinatorial pathway libraries through ePathBrick vectors. Synth Biol 1073:107–129
Shetty RP, Endy D, Knight TF (2008) Engineering BioBrick vectors from BioBrick parts. J Biol Eng 2:5
Xu P, Gu Q, Wang W, Wong L, Bower AGW, Collins CH, Koffas MAG (2013) Modular optimization of multi-gene pathways for fatty acids production in E. coli. Nat Commun 4:1409
Xu P, Rizzoni EA, Sul SY, Stephanopoulos G (2016) Improving metabolic pathway efficiency by statistical model-based multivariate regulatory metabolic engineering. ACS Synth Biol 6(1):148–158
Xu P, Li L, Zhang F, Stephanopoulos G, Koffas M (2014) Improving fatty acids production by engineering dynamic pathway regulation and metabolic control. Proc Natl Acad Sci U S A 111(31):11299–11304
Xu P (2018) Production of chemicals using dynamic control of metabolic fluxes. Curr Opin Biotechnol 53:12–19
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Sun, W., Yang, Z., Xu, P. (2021). Engineering Yarrowia lipolytica for Production of Fatty Alcohols with YaliBrick Vectors. In: Wheeldon, I., Blenner, M. (eds) Yarrowia lipolytica. Methods in Molecular Biology, vol 2307. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1414-3_11
Download citation
DOI: https://doi.org/10.1007/978-1-0716-1414-3_11
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-0716-1413-6
Online ISBN: 978-1-0716-1414-3
eBook Packages: Springer Protocols