GC/MS-based 13C metabolic flux analysis resolves the parallel and cyclic photomixotrophic metabolism of Synechocystis sp. PCC 6803 and selected deletion mutants including the Entner-Doudoroff and phosphoketolase pathways

Abstract:
        Abstract
        
          Background
          
            Cyanobacteria receive huge interest as green catalysts. While exploiting energy from sunlight, they co-utilize sugar and CO
            2
            . This photomixotrophic mode enables fast growth and high cell densities, opening perspectives for sustainable biomanufacturing. The model cyanobacterium
            Synechocystis
            sp. PCC 6803 possesses a complex architecture of glycolytic routes for glucose breakdown that are intertwined with the CO
            2
            -fixing Calvin-Benson-Bassham (CBB) cycle. To date, the contribution of these pathways to photomixotrophic metabolism has remained unclear.
          
        
        
          Results
          
            Here, we developed a comprehensive approach for
            13
            C metabolic flux analysis of
            Synechocystis
            sp. PCC 6803 during steady state photomixotrophic growth. Under these conditions, the Entner-Doudoroff (ED) and phosphoketolase (PK) pathways were found inactive but the microbe used the phosphoglucoisomerase (PGI) (63.1%) and the oxidative pentose phosphate pathway (OPP) shunts (9.3%) to fuel the CBB cycle. Mutants that lacked the ED pathway, the PK pathway, or phosphofructokinases were not affected in growth under metabolic steady-state. An ED pathway-deficient mutant (
            Δeda
            ) exhibited an enhanced CBB cycle flux and increased glycogen formation, while the OPP shunt was almost inactive (1.3%). Under fluctuating light,
            ∆eda
            showed a growth defect, different to wild type and the other deletion strains.
          
        
        
          Conclusions
          
            The developed approach, based on parallel
            13
            C tracer studies with GC–MS analysis of amino acids, sugars, and sugar derivatives, optionally adding NMR data from amino acids, is valuable to study fluxes in photomixotrophic microbes to detail. In photomixotrophic cells, PGI and OPP form glycolytic shunts that merge at switch points and result in synergistic fueling of the CBB cycle for maximized CO
            2
            fixation. However, redirected fluxes in an ED shunt-deficient mutant and the impossibility to delete this shunt in a GAPDH2 knockout mutant, indicate that either minor fluxes (below the resolution limit of
            13
            C flux analysis) might exist that could provide catalytic amounts of regulatory intermediates or alternatively, that EDA possesses additional so far unknown functions. These ideas require further experiments.

SEEK ID: https://ibisbahub.eu/publications/8

DOI: 10.1186/s12934-022-01790-9

Projects: HIGHFLUX

Publication type: Journal

Journal: Microbial Cell Factories

Citation: Microb Cell Fact 21(1),69

Date Published: 1st Dec 2022

Registered Mode: by DOI

Authors: Dennis Schulze, Michael Kohlstedt, Judith Becker, Edern Cahoreau, Lindsay Peyriga, Alexander Makowka, Sarah Hildebrandt, Kirstin Gutekunst, Jean-Charles Portais, Christoph Wittmann

help Submitter
Citation
Schulze, D., Kohlstedt, M., Becker, J., Cahoreau, E., Peyriga, L., Makowka, A., Hildebrandt, S., Gutekunst, K., Portais, J.-C., & Wittmann, C. (2022). GC/MS-based 13C metabolic flux analysis resolves the parallel and cyclic photomixotrophic metabolism of Synechocystis sp. PCC 6803 and selected deletion mutants including the Entner-Doudoroff and phosphoketolase pathways. In Microbial Cell Factories (Vol. 21, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1186/s12934-022-01790-9
Activity

Views: 1139

Created: 30th Nov 2022 at 13:25

Last updated: 30th Nov 2022 at 13:25

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
(v.1.14.2)
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH
IBISBA is a pan-European research infrastructure that is currently funded by the EU Horizon 2020 projects
IBISBA 1.0 (grant agreement number 730976) and PREP-IBISBA (grant agreement number 871118).
Registering data or other knowledge assets on this platform is the sole responsibility of Users.
IBISBA cannot be held responsible for misuse or misappropriation of data and assets belonging to a Third Party..