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Probing Light-Dependent Regulation of the Calvin Cycle Using a Multi-Omics Approach

Photoautotrophic microorganisms are increasingly explored for the conversion of atmospheric carbon dioxide into biomass and valuable products. The Calvin-Benson-Bassham (CBB) cycle is the primary metabolic pathway for net CO(2) fixation within oxygenic photosynthetic organisms. The cyanobacteria, Sy...

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Autores principales: Yu King Hing, Nathaphon, Aryal, Uma K., Morgan, John A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521058/
https://www.ncbi.nlm.nih.gov/pubmed/34671374
http://dx.doi.org/10.3389/fpls.2021.733122
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author Yu King Hing, Nathaphon
Aryal, Uma K.
Morgan, John A.
author_facet Yu King Hing, Nathaphon
Aryal, Uma K.
Morgan, John A.
author_sort Yu King Hing, Nathaphon
collection PubMed
description Photoautotrophic microorganisms are increasingly explored for the conversion of atmospheric carbon dioxide into biomass and valuable products. The Calvin-Benson-Bassham (CBB) cycle is the primary metabolic pathway for net CO(2) fixation within oxygenic photosynthetic organisms. The cyanobacteria, Synechocystis sp. PCC 6803, is a model organism for the study of photosynthesis and a platform for many metabolic engineering efforts. The CBB cycle is regulated by complex mechanisms including enzymatic abundance, intracellular metabolite concentrations, energetic cofactors and post-translational enzymatic modifications that depend on the external conditions such as the intensity and quality of light. However, the extent to which each of these mechanisms play a role under different light intensities remains unclear. In this work, we conducted non-targeted proteomics in tandem with isotopically non-stationary metabolic flux analysis (INST-MFA) at four different light intensities to determine the extent to which fluxes within the CBB cycle are controlled by enzymatic abundance. The correlation between specific enzyme abundances and their corresponding reaction fluxes is examined, revealing several enzymes with uncorrelated enzyme abundance and their corresponding flux, suggesting flux regulation by mechanisms other than enzyme abundance. Additionally, the kinetics of (13)C labeling of CBB cycle intermediates and estimated inactive pool sizes varied significantly as a function of light intensity suggesting the presence of metabolite channeling, an additional method of flux regulation. These results highlight the importance of the diverse methods of regulation of CBB enzyme activity as a function of light intensity, and highlights the importance of considering these effects in future kinetic models.
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spelling pubmed-85210582021-10-19 Probing Light-Dependent Regulation of the Calvin Cycle Using a Multi-Omics Approach Yu King Hing, Nathaphon Aryal, Uma K. Morgan, John A. Front Plant Sci Plant Science Photoautotrophic microorganisms are increasingly explored for the conversion of atmospheric carbon dioxide into biomass and valuable products. The Calvin-Benson-Bassham (CBB) cycle is the primary metabolic pathway for net CO(2) fixation within oxygenic photosynthetic organisms. The cyanobacteria, Synechocystis sp. PCC 6803, is a model organism for the study of photosynthesis and a platform for many metabolic engineering efforts. The CBB cycle is regulated by complex mechanisms including enzymatic abundance, intracellular metabolite concentrations, energetic cofactors and post-translational enzymatic modifications that depend on the external conditions such as the intensity and quality of light. However, the extent to which each of these mechanisms play a role under different light intensities remains unclear. In this work, we conducted non-targeted proteomics in tandem with isotopically non-stationary metabolic flux analysis (INST-MFA) at four different light intensities to determine the extent to which fluxes within the CBB cycle are controlled by enzymatic abundance. The correlation between specific enzyme abundances and their corresponding reaction fluxes is examined, revealing several enzymes with uncorrelated enzyme abundance and their corresponding flux, suggesting flux regulation by mechanisms other than enzyme abundance. Additionally, the kinetics of (13)C labeling of CBB cycle intermediates and estimated inactive pool sizes varied significantly as a function of light intensity suggesting the presence of metabolite channeling, an additional method of flux regulation. These results highlight the importance of the diverse methods of regulation of CBB enzyme activity as a function of light intensity, and highlights the importance of considering these effects in future kinetic models. Frontiers Media S.A. 2021-10-04 /pmc/articles/PMC8521058/ /pubmed/34671374 http://dx.doi.org/10.3389/fpls.2021.733122 Text en Copyright © 2021 Yu King Hing, Aryal and Morgan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Yu King Hing, Nathaphon
Aryal, Uma K.
Morgan, John A.
Probing Light-Dependent Regulation of the Calvin Cycle Using a Multi-Omics Approach
title Probing Light-Dependent Regulation of the Calvin Cycle Using a Multi-Omics Approach
title_full Probing Light-Dependent Regulation of the Calvin Cycle Using a Multi-Omics Approach
title_fullStr Probing Light-Dependent Regulation of the Calvin Cycle Using a Multi-Omics Approach
title_full_unstemmed Probing Light-Dependent Regulation of the Calvin Cycle Using a Multi-Omics Approach
title_short Probing Light-Dependent Regulation of the Calvin Cycle Using a Multi-Omics Approach
title_sort probing light-dependent regulation of the calvin cycle using a multi-omics approach
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521058/
https://www.ncbi.nlm.nih.gov/pubmed/34671374
http://dx.doi.org/10.3389/fpls.2021.733122
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