Literature DB >> 31625072

Flux balance analysis of cyanobacteria reveals selective use of photosynthetic electron transport components under different spectral light conditions.

Masakazu Toyoshima1, Yoshihiro Toya1, Hiroshi Shimizu2.   

Abstract

Cyanobacteria acclimate and adapt to changing light conditions by controlling the energy transfer between photosystem I (PSI) and II (PSII) and pigment composition. Photosynthesis is driven by balancing the excitation between PSI and PSII. To predict the detailed electron transfer flux of cyanobacteria, we refined the photosynthesis-related reactions in our previously reconstructed genome-scale model. Two photosynthetic bacteria, Arthrospira and Synechocystis, were used as models. They were grown under various spectral light conditions and flux balance analysis (FBA) was performed using photon uptake fluxes into PSI and PSII, which were converted from each light spectrum by considering the photoacclimation of pigments and the distribution ratio of phycobilisome to PSI and PSII. In Arthrospira, the FBA was verified with experimental data using six types of light-emitting diodes (White, Blue, Green, Yellow, Red1, and Red2). FBA predicted the cell growth of Synechocystis for the LEDs, excepting Red2. In an FBA simulation, cells used respiratory terminal oxidases and two NADH dehydrogenases (NDH-1 and NDH-2) to balance the PSI and PSII excitations depending on the light conditions. FBA simulation with our refined model functionally implicated NDH-1 and NDH-2 as a component of cyclic electron transport in the varied light environments.

Entities:  

Keywords:  Cyanobacteria; Flux balance analysis; Genome-scale model; Photosynthetic electron transport

Mesh:

Substances:

Year:  2019        PMID: 31625072     DOI: 10.1007/s11120-019-00678-x

Source DB:  PubMed          Journal:  Photosynth Res        ISSN: 0166-8595            Impact factor:   3.573


  62 in total

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3.  Reconstruction and verification of a genome-scale metabolic model for Synechocystis sp. PCC6803.

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Journal:  Appl Microbiol Biotechnol       Date:  2011-09-01       Impact factor: 4.813

Review 4.  Light regulation of pigment and photosystem biosynthesis in cyanobacteria.

Authors:  Ming-Yang Ho; Nathan T Soulier; Daniel P Canniffe; Gaozhong Shen; Donald A Bryant
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Review 5.  Algal light sensing and photoacclimation in aquatic environments.

Authors:  Deqiang Duanmu; Nathan C Rockwell; J Clark Lagarias
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6.  Flux balance analysis of photoautotrophic metabolism: Uncovering new biological details of subsystems involved in cyanobacterial photosynthesis.

Authors:  Xiao Qian; Min Kyung Kim; G Kenchappa Kumaraswamy; Ananya Agarwal; Desmond S Lun; G Charles Dismukes
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Review 7.  A viewpoint: why chlorophyll a?

Authors:  Lars Olof Björn; George C Papageorgiou; Robert E Blankenship
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Review 8.  Reconstruction of biochemical networks in microorganisms.

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9.  Genome-scale modeling of light-driven reductant partitioning and carbon fluxes in diazotrophic unicellular cyanobacterium Cyanothece sp. ATCC 51142.

Authors:  Trang T Vu; Sergey M Stolyar; Grigoriy E Pinchuk; Eric A Hill; Leo A Kucek; Roslyn N Brown; Mary S Lipton; Andrei Osterman; Jim K Fredrickson; Allan E Konopka; Alexander S Beliaev; Jennifer L Reed
Journal:  PLoS Comput Biol       Date:  2012-04-05       Impact factor: 4.475

10.  Adjustments to Photosystem Stoichiometry and Electron Transfer Proteins Are Key to the Remarkably Fast Growth of the Cyanobacterium Synechococcus elongatus UTEX 2973.

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Journal:  MBio       Date:  2018-02-06       Impact factor: 7.867

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  6 in total

1.  Protocol for hybrid flux balance, statistical, and machine learning analysis of multi-omic data from the cyanobacterium Synechococcus sp. PCC 7002.

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2.  Genome-scale metabolic network model of Eriocheir sinensis icrab4665 and nutritional requirement analysis.

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Journal:  BMC Genomics       Date:  2022-06-28       Impact factor: 4.547

Review 3.  Current Status and Future Strategies to Increase Secondary Metabolite Production from Cyanobacteria.

Authors:  Yujin Jeong; Sang-Hyeok Cho; Hookeun Lee; Hyung-Kyoon Choi; Dong-Myung Kim; Choul-Gyun Lee; Suhyung Cho; Byung-Kwan Cho
Journal:  Microorganisms       Date:  2020-11-24

4.  A Hybrid Flux Balance Analysis and Machine Learning Pipeline Elucidates Metabolic Adaptation in Cyanobacteria.

Authors:  Supreeta Vijayakumar; Pattanathu K S M Rahman; Claudio Angione
Journal:  iScience       Date:  2020-11-18

5.  Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development.

Authors:  Nicolò S Vasile; Alessandro Cordara; Giulia Usai; Angela Re
Journal:  Front Microbiol       Date:  2021-04-01       Impact factor: 5.640

6.  Over-expression of an electron transport protein OmcS provides sufficient NADH for D-lactate production in cyanobacterium.

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  6 in total

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