A diurnal flux balance model of Synechocystis sp. PCC 6803 metabolism.

Phototrophic organisms such as cyanobacteria utilize the sun's energy to convert atmospheric carbon dioxide into organic carbon, resulting in diurnal variations in the cell's metabolism. Flux balance analysis is a widely accepted constraint-based optimization tool for analyzing growth and...

Full description

Bibliographic Details
Main Authors: Debolina Sarkar, Thomas J Mueller, Deng Liu, Himadri B Pakrasi, Costas D Maranas
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1006692
id doaj-bbc9ffe10eba4789a75149d6e18e79dd
record_format Article
spelling doaj-bbc9ffe10eba4789a75149d6e18e79dd2021-04-21T15:12:00ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582019-01-01151e100669210.1371/journal.pcbi.1006692A diurnal flux balance model of Synechocystis sp. PCC 6803 metabolism.Debolina SarkarThomas J MuellerDeng LiuHimadri B PakrasiCostas D MaranasPhototrophic organisms such as cyanobacteria utilize the sun's energy to convert atmospheric carbon dioxide into organic carbon, resulting in diurnal variations in the cell's metabolism. Flux balance analysis is a widely accepted constraint-based optimization tool for analyzing growth and metabolism, but it is generally used in a time-invariant manner with no provisions for sequestering different biomass components at different time periods. Here we present CycleSyn, a periodic model of Synechocystis sp. PCC 6803 metabolism that spans a 12-hr light/12-hr dark cycle by segmenting it into 12 Time Point Models (TPMs) with a uniform duration of two hours. The developed framework allows for the flow of metabolites across TPMs while inventorying metabolite levels and only allowing for the utilization of currently or previously produced compounds. The 12 TPMs allow for the incorporation of time-dependent constraints that capture the cyclic nature of cellular processes. Imposing bounds on reactions informed by temporally-segmented transcriptomic data enables simulation of phototrophic growth as a single linear programming (LP) problem. The solution provides the time varying reaction fluxes over a 24-hour cycle and the accumulation/consumption of metabolites. The diurnal rhythm of metabolic gene expression driven by the circadian clock and its metabolic consequences is explored. Predicted flux and metabolite pools are in line with published studies regarding the temporal organization of phototrophic growth in Synechocystis PCC 6803 paving the way for constructing time-resolved genome-scale models (GSMs) for organisms with a circadian clock. In addition, the metabolic reorganization that would be required to enable Synechocystis PCC 6803 to temporally separate photosynthesis from oxygen-sensitive nitrogen fixation is also explored using the developed model formalism.https://doi.org/10.1371/journal.pcbi.1006692
collection DOAJ
language English
format Article
sources DOAJ
author Debolina Sarkar
Thomas J Mueller
Deng Liu
Himadri B Pakrasi
Costas D Maranas
spellingShingle Debolina Sarkar
Thomas J Mueller
Deng Liu
Himadri B Pakrasi
Costas D Maranas
A diurnal flux balance model of Synechocystis sp. PCC 6803 metabolism.
PLoS Computational Biology
author_facet Debolina Sarkar
Thomas J Mueller
Deng Liu
Himadri B Pakrasi
Costas D Maranas
author_sort Debolina Sarkar
title A diurnal flux balance model of Synechocystis sp. PCC 6803 metabolism.
title_short A diurnal flux balance model of Synechocystis sp. PCC 6803 metabolism.
title_full A diurnal flux balance model of Synechocystis sp. PCC 6803 metabolism.
title_fullStr A diurnal flux balance model of Synechocystis sp. PCC 6803 metabolism.
title_full_unstemmed A diurnal flux balance model of Synechocystis sp. PCC 6803 metabolism.
title_sort diurnal flux balance model of synechocystis sp. pcc 6803 metabolism.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2019-01-01
description Phototrophic organisms such as cyanobacteria utilize the sun's energy to convert atmospheric carbon dioxide into organic carbon, resulting in diurnal variations in the cell's metabolism. Flux balance analysis is a widely accepted constraint-based optimization tool for analyzing growth and metabolism, but it is generally used in a time-invariant manner with no provisions for sequestering different biomass components at different time periods. Here we present CycleSyn, a periodic model of Synechocystis sp. PCC 6803 metabolism that spans a 12-hr light/12-hr dark cycle by segmenting it into 12 Time Point Models (TPMs) with a uniform duration of two hours. The developed framework allows for the flow of metabolites across TPMs while inventorying metabolite levels and only allowing for the utilization of currently or previously produced compounds. The 12 TPMs allow for the incorporation of time-dependent constraints that capture the cyclic nature of cellular processes. Imposing bounds on reactions informed by temporally-segmented transcriptomic data enables simulation of phototrophic growth as a single linear programming (LP) problem. The solution provides the time varying reaction fluxes over a 24-hour cycle and the accumulation/consumption of metabolites. The diurnal rhythm of metabolic gene expression driven by the circadian clock and its metabolic consequences is explored. Predicted flux and metabolite pools are in line with published studies regarding the temporal organization of phototrophic growth in Synechocystis PCC 6803 paving the way for constructing time-resolved genome-scale models (GSMs) for organisms with a circadian clock. In addition, the metabolic reorganization that would be required to enable Synechocystis PCC 6803 to temporally separate photosynthesis from oxygen-sensitive nitrogen fixation is also explored using the developed model formalism.
url https://doi.org/10.1371/journal.pcbi.1006692
work_keys_str_mv AT debolinasarkar adiurnalfluxbalancemodelofsynechocystissppcc6803metabolism
AT thomasjmueller adiurnalfluxbalancemodelofsynechocystissppcc6803metabolism
AT dengliu adiurnalfluxbalancemodelofsynechocystissppcc6803metabolism
AT himadribpakrasi adiurnalfluxbalancemodelofsynechocystissppcc6803metabolism
AT costasdmaranas adiurnalfluxbalancemodelofsynechocystissppcc6803metabolism
AT debolinasarkar diurnalfluxbalancemodelofsynechocystissppcc6803metabolism
AT thomasjmueller diurnalfluxbalancemodelofsynechocystissppcc6803metabolism
AT dengliu diurnalfluxbalancemodelofsynechocystissppcc6803metabolism
AT himadribpakrasi diurnalfluxbalancemodelofsynechocystissppcc6803metabolism
AT costasdmaranas diurnalfluxbalancemodelofsynechocystissppcc6803metabolism
_version_ 1714667822552973312