One‐shot 13C15N‐metabolic flux analysis for simultaneous quantification of carbon and nitrogen flux

Abstract Metabolic flux is the final output of cellular regulation and has been extensively studied for carbon but much less is known about nitrogen, which is another important building block for living organisms. For the tuberculosis pathogen, this is particularly important in informing the develop...

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Main Authors: Khushboo Borah Slater, Martin Beyß, Ye Xu, Jim Barber, Catia Costa, Jane Newcombe, Axel Theorell, Melanie J Bailey, Dany J V Beste, Johnjoe McFadden, Katharina Nöh
Format: Article
Language:English
Published: Springer Nature 2023-01-01
Series:Molecular Systems Biology
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Online Access:https://doi.org/10.15252/msb.202211099
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author Khushboo Borah Slater
Martin Beyß
Ye Xu
Jim Barber
Catia Costa
Jane Newcombe
Axel Theorell
Melanie J Bailey
Dany J V Beste
Johnjoe McFadden
Katharina Nöh
author_facet Khushboo Borah Slater
Martin Beyß
Ye Xu
Jim Barber
Catia Costa
Jane Newcombe
Axel Theorell
Melanie J Bailey
Dany J V Beste
Johnjoe McFadden
Katharina Nöh
author_sort Khushboo Borah Slater
collection DOAJ
description Abstract Metabolic flux is the final output of cellular regulation and has been extensively studied for carbon but much less is known about nitrogen, which is another important building block for living organisms. For the tuberculosis pathogen, this is particularly important in informing the development of effective drugs targeting the pathogen's metabolism. Here we performed 13C15N dual isotopic labeling of Mycobacterium bovis BCG steady state cultures, quantified intracellular carbon and nitrogen fluxes and inferred reaction bidirectionalities. This was achieved by model scope extension and refinement, implemented in a multi‐atom transition model, within the statistical framework of Bayesian model averaging (BMA). Using BMA‐based 13C15N‐metabolic flux analysis, we jointly resolve carbon and nitrogen fluxes quantitatively. We provide the first nitrogen flux distributions for amino acid and nucleotide biosynthesis in mycobacteria and establish glutamate as the central node for nitrogen metabolism. We improved resolution of the notoriously elusive anaplerotic node in central carbon metabolism and revealed possible operation modes. Our study provides a powerful and statistically rigorous platform to simultaneously infer carbon and nitrogen metabolism in any biological system.
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series Molecular Systems Biology
spelling doaj-art-5bb60f4298fe4261b1609c783aff848a2025-08-20T03:06:10ZengSpringer NatureMolecular Systems Biology1744-42922023-01-0119311810.15252/msb.202211099One‐shot 13C15N‐metabolic flux analysis for simultaneous quantification of carbon and nitrogen fluxKhushboo Borah Slater0Martin Beyß1Ye Xu2Jim Barber3Catia Costa4Jane Newcombe5Axel Theorell6Melanie J Bailey7Dany J V Beste8Johnjoe McFadden9Katharina Nöh10Faculty of Health and Medical Sciences, University of SurreyForschungszentrum Jülich GmbH, Institute of Bio‐ and Geosciences, IBG‐1: BiotechnologyFaculty of Health and Medical Sciences, University of SurreyFaculty of Health and Medical Sciences, University of SurreyFaculty of Engineering and Physical Sciences, University of SurreyFaculty of Health and Medical Sciences, University of SurreyForschungszentrum Jülich GmbH, Institute of Bio‐ and Geosciences, IBG‐1: BiotechnologyFaculty of Engineering and Physical Sciences, University of SurreyFaculty of Health and Medical Sciences, University of SurreyFaculty of Health and Medical Sciences, University of SurreyForschungszentrum Jülich GmbH, Institute of Bio‐ and Geosciences, IBG‐1: BiotechnologyAbstract Metabolic flux is the final output of cellular regulation and has been extensively studied for carbon but much less is known about nitrogen, which is another important building block for living organisms. For the tuberculosis pathogen, this is particularly important in informing the development of effective drugs targeting the pathogen's metabolism. Here we performed 13C15N dual isotopic labeling of Mycobacterium bovis BCG steady state cultures, quantified intracellular carbon and nitrogen fluxes and inferred reaction bidirectionalities. This was achieved by model scope extension and refinement, implemented in a multi‐atom transition model, within the statistical framework of Bayesian model averaging (BMA). Using BMA‐based 13C15N‐metabolic flux analysis, we jointly resolve carbon and nitrogen fluxes quantitatively. We provide the first nitrogen flux distributions for amino acid and nucleotide biosynthesis in mycobacteria and establish glutamate as the central node for nitrogen metabolism. We improved resolution of the notoriously elusive anaplerotic node in central carbon metabolism and revealed possible operation modes. Our study provides a powerful and statistically rigorous platform to simultaneously infer carbon and nitrogen metabolism in any biological system.https://doi.org/10.15252/msb.202211099Bayesian metabolic flux analysiscarbon metabolismisotope labelingMycobacterium tuberculosisnitrogen metabolism
spellingShingle Khushboo Borah Slater
Martin Beyß
Ye Xu
Jim Barber
Catia Costa
Jane Newcombe
Axel Theorell
Melanie J Bailey
Dany J V Beste
Johnjoe McFadden
Katharina Nöh
One‐shot 13C15N‐metabolic flux analysis for simultaneous quantification of carbon and nitrogen flux
Molecular Systems Biology
Bayesian metabolic flux analysis
carbon metabolism
isotope labeling
Mycobacterium tuberculosis
nitrogen metabolism
title One‐shot 13C15N‐metabolic flux analysis for simultaneous quantification of carbon and nitrogen flux
title_full One‐shot 13C15N‐metabolic flux analysis for simultaneous quantification of carbon and nitrogen flux
title_fullStr One‐shot 13C15N‐metabolic flux analysis for simultaneous quantification of carbon and nitrogen flux
title_full_unstemmed One‐shot 13C15N‐metabolic flux analysis for simultaneous quantification of carbon and nitrogen flux
title_short One‐shot 13C15N‐metabolic flux analysis for simultaneous quantification of carbon and nitrogen flux
title_sort one shot 13c15n metabolic flux analysis for simultaneous quantification of carbon and nitrogen flux
topic Bayesian metabolic flux analysis
carbon metabolism
isotope labeling
Mycobacterium tuberculosis
nitrogen metabolism
url https://doi.org/10.15252/msb.202211099
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