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Application of Stable Isotope Tracing to Elucidate Metabolic Dynamics During Yarrowia lipolytica α-Ionone Fermentation

Targeted metabolite analysis in combination with (13)C-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 hydrophil...

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Autores principales: Czajka, Jeffrey J., Kambhampati, Shrikaar, Tang, Yinjie J., Wang, Yechun, Allen, Doug K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005465/
https://www.ncbi.nlm.nih.gov/pubmed/32058965
http://dx.doi.org/10.1016/j.isci.2020.100854
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author Czajka, Jeffrey J.
Kambhampati, Shrikaar
Tang, Yinjie J.
Wang, Yechun
Allen, Doug K.
author_facet Czajka, Jeffrey J.
Kambhampati, Shrikaar
Tang, Yinjie J.
Wang, Yechun
Allen, Doug K.
author_sort Czajka, Jeffrey J.
collection PubMed
description Targeted metabolite analysis in combination with (13)C-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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spelling pubmed-70054652020-02-13 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. iScience Article Targeted metabolite analysis in combination with (13)C-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. Elsevier 2020-01-22 /pmc/articles/PMC7005465/ /pubmed/32058965 http://dx.doi.org/10.1016/j.isci.2020.100854 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Czajka, Jeffrey J.
Kambhampati, Shrikaar
Tang, Yinjie J.
Wang, Yechun
Allen, Doug K.
Application of Stable Isotope Tracing to Elucidate Metabolic Dynamics During Yarrowia lipolytica α-Ionone Fermentation
title Application of Stable Isotope Tracing to Elucidate Metabolic Dynamics During Yarrowia lipolytica α-Ionone Fermentation
title_full Application of Stable Isotope Tracing to Elucidate Metabolic Dynamics During Yarrowia lipolytica α-Ionone Fermentation
title_fullStr Application of Stable Isotope Tracing to Elucidate Metabolic Dynamics During Yarrowia lipolytica α-Ionone Fermentation
title_full_unstemmed Application of Stable Isotope Tracing to Elucidate Metabolic Dynamics During Yarrowia lipolytica α-Ionone Fermentation
title_short Application of Stable Isotope Tracing to Elucidate Metabolic Dynamics During Yarrowia lipolytica α-Ionone Fermentation
title_sort application of stable isotope tracing to elucidate metabolic dynamics during yarrowia lipolytica α-ionone fermentation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005465/
https://www.ncbi.nlm.nih.gov/pubmed/32058965
http://dx.doi.org/10.1016/j.isci.2020.100854
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