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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7005465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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