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Application of Stable Isotope Tracing to Elucidate Metabolic Dynamics During Yarrowia lipolytica α-Ionone Fermentation.
Czajka, Jeffrey J; Kambhampati, Shrikaar; Tang, Yinjie J; Wang, Yechun; Allen, Doug K.
Afiliación
  • Czajka JJ; Department of Energy, Environmental and Chemical Engineering, Washington University, St. Louis, MO, USA.
  • Kambhampati S; Donald Danforth Plant Science Center, St. Louis, MO, USA.
  • Tang YJ; Department of Energy, Environmental and Chemical Engineering, Washington University, St. Louis, MO, USA. Electronic address: yinjie.tang@seas.wustl.edu.
  • Wang Y; Arch Innotek, LLC, 4320 Forest Park Avenue, St Louis, MO, USA. Electronic address: ywang@arch-innotek.com.
  • Allen DK; Donald Danforth Plant Science Center, St. Louis, MO, USA; United States Department of Agriculture, Agricultural Research Service, St. Louis, MO, USA. Electronic address: doug.allen@usda.gov.
iScience ; 23(2): 100854, 2020 Feb 21.
Article en En | MEDLINE | ID: mdl-32058965
Targeted metabolite analysis in combination with 13C-tracing is a convenient strategy to determine pathway activity in biological systems; however, metabolite analysis is limited by challenges in separating and detecting pathway intermediates with current chromatographic methods. Here, a hydrophilic interaction chromatography tandem mass spectrometry approach was developed for improved metabolite separation, isotopologue analysis, and quantification. The physiological responses of a Yarrowia lipolytica strain engineered to produce ∼400 mg/L α-ionone and temporal changes in metabolism were quantified (e.g., mevalonate secretion, then uptake) indicating bottleneck shifts in the engineered pathway over the course of fermentation. Dynamic labeling results indicated limited tricarboxylic acid cycle label incorporation and, combined with a measurable ATP shortage during the high ionone production phase, suggested that electron transport and oxidative phosphorylation may limit energy supply and strain performance. The results provide insights into terpenoid pathway metabolic dynamics of non-model yeasts and offer guidelines for sensor development and modular engineering.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IScience Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IScience Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos