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Metabolic flux analysis for metabolome data validation of naturally xylose-fermenting yeasts

BACKGROUND: Efficient xylose fermentation still demands knowledge regarding xylose catabolism. In this study, metabolic flux analysis (MFA) and metabolomics were used to improve our understanding of xylose metabolism. Thus, a stoichiometric model was constructed to simulate the intracellular carbon...

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Autores principales: Veras, Henrique C. T., Campos, Christiane G., Nascimento, Igor F., Abdelnur, Patrícia V., Almeida, João R. M., Parachin, Nádia S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683545/
https://www.ncbi.nlm.nih.gov/pubmed/31382948
http://dx.doi.org/10.1186/s12896-019-0548-0
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author Veras, Henrique C. T.
Campos, Christiane G.
Nascimento, Igor F.
Abdelnur, Patrícia V.
Almeida, João R. M.
Parachin, Nádia S.
author_facet Veras, Henrique C. T.
Campos, Christiane G.
Nascimento, Igor F.
Abdelnur, Patrícia V.
Almeida, João R. M.
Parachin, Nádia S.
author_sort Veras, Henrique C. T.
collection PubMed
description BACKGROUND: Efficient xylose fermentation still demands knowledge regarding xylose catabolism. In this study, metabolic flux analysis (MFA) and metabolomics were used to improve our understanding of xylose metabolism. Thus, a stoichiometric model was constructed to simulate the intracellular carbon flux and used to validate the metabolome data collected within xylose catabolic pathways of non-Saccharomyces xylose utilizing yeasts. RESULTS: A metabolic flux model was constructed using xylose fermentation data from yeasts Scheffersomyces stipitis, Spathaspora arborariae, and Spathaspora passalidarum. In total, 39 intracellular metabolic reactions rates were utilized validating the measurements of 11 intracellular metabolites, acquired by mass spectrometry. Among them, 80% of total metabolites were confirmed with a correlation above 90% when compared to the stoichiometric model. Among the intracellular metabolites, fructose-6-phosphate, glucose-6-phosphate, ribulose-5-phosphate, and malate are validated in the three studied yeasts. However, the metabolites phosphoenolpyruvate and pyruvate could not be confirmed in any yeast. Finally, the three yeasts had the metabolic fluxes from xylose to ethanol compared. Xylose catabolism occurs at twice-higher flux rates in S. stipitis than S. passalidarum and S. arborariae. Besides, S. passalidarum present 1.5 times high flux rate in the xylose reductase reaction NADH-dependent than other two yeasts. CONCLUSIONS: This study demonstrated a novel strategy for metabolome data validation and brought insights about naturally xylose-fermenting yeasts. S. stipitis and S. passalidarum showed respectively three and twice higher flux rates of XR with NADH cofactor, reducing the xylitol production when compared to S. arborariae. Besides then, the higher flux rates directed to pentose phosphate pathway (PPP) and glycolysis pathways resulted in better ethanol production in S. stipitis and S. passalidarum when compared to S. arborariae. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12896-019-0548-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-66835452019-08-09 Metabolic flux analysis for metabolome data validation of naturally xylose-fermenting yeasts Veras, Henrique C. T. Campos, Christiane G. Nascimento, Igor F. Abdelnur, Patrícia V. Almeida, João R. M. Parachin, Nádia S. BMC Biotechnol Research Article BACKGROUND: Efficient xylose fermentation still demands knowledge regarding xylose catabolism. In this study, metabolic flux analysis (MFA) and metabolomics were used to improve our understanding of xylose metabolism. Thus, a stoichiometric model was constructed to simulate the intracellular carbon flux and used to validate the metabolome data collected within xylose catabolic pathways of non-Saccharomyces xylose utilizing yeasts. RESULTS: A metabolic flux model was constructed using xylose fermentation data from yeasts Scheffersomyces stipitis, Spathaspora arborariae, and Spathaspora passalidarum. In total, 39 intracellular metabolic reactions rates were utilized validating the measurements of 11 intracellular metabolites, acquired by mass spectrometry. Among them, 80% of total metabolites were confirmed with a correlation above 90% when compared to the stoichiometric model. Among the intracellular metabolites, fructose-6-phosphate, glucose-6-phosphate, ribulose-5-phosphate, and malate are validated in the three studied yeasts. However, the metabolites phosphoenolpyruvate and pyruvate could not be confirmed in any yeast. Finally, the three yeasts had the metabolic fluxes from xylose to ethanol compared. Xylose catabolism occurs at twice-higher flux rates in S. stipitis than S. passalidarum and S. arborariae. Besides, S. passalidarum present 1.5 times high flux rate in the xylose reductase reaction NADH-dependent than other two yeasts. CONCLUSIONS: This study demonstrated a novel strategy for metabolome data validation and brought insights about naturally xylose-fermenting yeasts. S. stipitis and S. passalidarum showed respectively three and twice higher flux rates of XR with NADH cofactor, reducing the xylitol production when compared to S. arborariae. Besides then, the higher flux rates directed to pentose phosphate pathway (PPP) and glycolysis pathways resulted in better ethanol production in S. stipitis and S. passalidarum when compared to S. arborariae. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12896-019-0548-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-05 /pmc/articles/PMC6683545/ /pubmed/31382948 http://dx.doi.org/10.1186/s12896-019-0548-0 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Veras, Henrique C. T.
Campos, Christiane G.
Nascimento, Igor F.
Abdelnur, Patrícia V.
Almeida, João R. M.
Parachin, Nádia S.
Metabolic flux analysis for metabolome data validation of naturally xylose-fermenting yeasts
title Metabolic flux analysis for metabolome data validation of naturally xylose-fermenting yeasts
title_full Metabolic flux analysis for metabolome data validation of naturally xylose-fermenting yeasts
title_fullStr Metabolic flux analysis for metabolome data validation of naturally xylose-fermenting yeasts
title_full_unstemmed Metabolic flux analysis for metabolome data validation of naturally xylose-fermenting yeasts
title_short Metabolic flux analysis for metabolome data validation of naturally xylose-fermenting yeasts
title_sort metabolic flux analysis for metabolome data validation of naturally xylose-fermenting yeasts
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683545/
https://www.ncbi.nlm.nih.gov/pubmed/31382948
http://dx.doi.org/10.1186/s12896-019-0548-0
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