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Bayesian multi-model-based 13C15N-metabolic flux analysis quantifies carbon-nitrogen metabolism in mycobacteria

View ORCID ProfileKhushboo Borah, Martin Beyß, Ye Xu, Jim Barber, Catia Costa, Jane Newcombe, Axel Theorell, View ORCID ProfileMelanie J Bailey, Dany JV Beste, Johnjoe McFadden, Katharina Nöh
doi: https://doi.org/10.1101/2022.03.08.483448
Khushboo Borah
1Faculty of Health and Medical Sciences, University of Surrey, UK, GU2 7XH
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  • ORCID record for Khushboo Borah
Martin Beyß
2Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences, IBG-1: Biotechnology, 52425 Jülich, Germany
3RWTH Aachen University, Computational Systems Biotechnology, 52062 Aachen, Germany
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Ye Xu
1Faculty of Health and Medical Sciences, University of Surrey, UK, GU2 7XH
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Jim Barber
1Faculty of Health and Medical Sciences, University of Surrey, UK, GU2 7XH
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Catia Costa
4Faculty of Engineering and Physical Sciences, University of Surrey, UK, GU2 7XH
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Jane Newcombe
1Faculty of Health and Medical Sciences, University of Surrey, UK, GU2 7XH
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Axel Theorell
2Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences, IBG-1: Biotechnology, 52425 Jülich, Germany
5Computational Systems Biology, ETH Zürich, 4058 Basel, Switzerland
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Melanie J Bailey
4Faculty of Engineering and Physical Sciences, University of Surrey, UK, GU2 7XH
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  • ORCID record for Melanie J Bailey
Dany JV Beste
1Faculty of Health and Medical Sciences, University of Surrey, UK, GU2 7XH
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Johnjoe McFadden
1Faculty of Health and Medical Sciences, University of Surrey, UK, GU2 7XH
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  • For correspondence: j.mcfadden@surrey.ac.uk k.noeh@fz-juelich.de
Katharina Nöh
2Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences, IBG-1: Biotechnology, 52425 Jülich, Germany
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  • For correspondence: j.mcfadden@surrey.ac.uk k.noeh@fz-juelich.de
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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 pathogen Mycobacterium tuberculosis (Mtb), this is particularly important in informing the development of effective drugs targeting Mtb’s metabolism. Here we performed 13C15N dual isotopic labelling of mycobacterial steady state cultures and quantified intracellular carbon-nitrogen (CN) and nitrogen (N) fluxes in addition to carbon (C) fluxes and inferred their reaction bidirectionalities. The combination of 13C15N-MFA with a Bayesian multi-model approach allowed us to resolve C and N fluxes simultaneously which was not possible with classical 13C-MFA. We quantified CN fluxes for amino acid and, for the first time, nucleotide biosynthesis. Our analysis identified glutamate as the central CN and N node in mycobacteria, and improved resolution of the anaplerotic node. Our study describes a powerful platform to measure carbon and nitrogen metabolism in any biological system with statistical rigor.

Competing Interest Statement

The authors have declared no competing interest.

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Posted March 08, 2022.
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Bayesian multi-model-based 13C15N-metabolic flux analysis quantifies carbon-nitrogen metabolism in mycobacteria
Khushboo Borah, Martin Beyß, Ye Xu, Jim Barber, Catia Costa, Jane Newcombe, Axel Theorell, Melanie J Bailey, Dany JV Beste, Johnjoe McFadden, Katharina Nöh
bioRxiv 2022.03.08.483448; doi: https://doi.org/10.1101/2022.03.08.483448
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Bayesian multi-model-based 13C15N-metabolic flux analysis quantifies carbon-nitrogen metabolism in mycobacteria
Khushboo Borah, Martin Beyß, Ye Xu, Jim Barber, Catia Costa, Jane Newcombe, Axel Theorell, Melanie J Bailey, Dany JV Beste, Johnjoe McFadden, Katharina Nöh
bioRxiv 2022.03.08.483448; doi: https://doi.org/10.1101/2022.03.08.483448

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