Electron Transport in Cyanobacteria and Its Potential in Bioproduction

Lea‐Smith, David J.; Hanke, Guy

doi:10.1002/9783527824908.ch2

Cited by 5 publications

(3 citation statements)

References 160 publications

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“…Next we compared the differences between PCC 11901 and PCC 6803 in cellular processes, including electron transport and light harvesting ( Table S6 ; Figure 2 ) [ 26 ]. All subunits of the three main complexes, photosystem II and I, and cytochrome b 6 f , are present.…”

Section: Resultsmentioning

confidence: 99%

Development of a Biotechnology Platform for the Fast-Growing Cyanobacterium Synechococcus sp. PCC 11901

et al. 2022

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Synechococcus sp. PCC 11901 reportedly demonstrates the highest, most sustained growth of any known cyanobacterium under optimized conditions. Due to its recent discovery, our knowledge of its biology, including the factors underlying sustained, fast growth, is limited. Furthermore, tools specific for genetic manipulation of PCC 11901 are not established. Here, we demonstrate that PCC 11901 shows faster growth than other model cyanobacteria, including the fast-growing species Synechococcuselongatus UTEX 2973, under optimal growth conditions for UTEX 2973. Comparative genomics between PCC 11901 and Synechocystis sp. PCC 6803 reveal conservation of most metabolic pathways but PCC 11901 has a simplified electron transport chain and reduced light harvesting complex. This may underlie its superior light use, reduced photoinhibition, and higher photosynthetic and respiratory rates. To aid biotechnology applications, we developed a vitamin B12 auxotrophic mutant but were unable to generate unmarked knockouts using two negative selectable markers, suggesting that recombinase- or CRISPR-based approaches may be required for repeated genetic manipulation. Overall, this study establishes PCC 11901 as one of the most promising species currently available for cyanobacterial biotechnology and provides a useful set of bioinformatics tools and strains for advancing this field, in addition to insights into the factors underlying its fast growth phenotype.

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Section: Resultsmentioning

confidence: 99%

Development of a Biotechnology Platform for the Fast-Growing Cyanobacterium Synechococcus sp. PCC 11901

et al. 2022

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“…In this work, we present the first wavelength-dependent mathematical ODE-based photosynthesis model for cyanobacteria. The model contains all major processes involved in the Synechocystis photosynthetic electron flow, from light capture to CO 2 fixation [17] and a description of the respiratory chain embedded within the same membrane. Furthermore, cyanobacteria-specific mechanisms were implemented in the model, including state transitions and OCP-mediated NPQ [3, 39, 71, 42].…”

Section: Discussionmentioning

confidence: 99%

“…Numerous plant models of primary metabolism helped to identify the most favorable environmental conditions, nutrient compositions, and genetic modifications to maximize the desired outputs [16,15]. Despite the evolutionary connection between cyanobacteria and plants, the structural and kinetic differences between cyanobacteria and plants (e.g., competition for electrons due to respiration [17], phycobilisomes (PBSs) as cyanobacterial light-harvesting antennae, photoprotection mediated by Orange Carotenoid Protein (OCP), existence of Carbon Concentrating Mechanism (CCM)) prevent the use of established plantbased models for photosynthesis [3,17,18,19,20,21]. Even standard experimental methods developed for plants for non-invasive probing of photosynthesis using spectrometric techniques, such as Pulse Amplitude Modulation (PAM) fluorometry and the Saturation Pulse method (PAM-SP) [22], may require either adaptation or change in the interpretation of the measurements when applied to cyanobacteria [3,23,24].…”

Section: Introductionmentioning

confidence: 99%

Shedding light on blue-green photosynthesis: A wavelength-dependent mathematical model of photosynthesis in Synechocystis sp. PCC 6803

Pfennig,

Kullmann,

Zavřel

et al. 2023

Preprint

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Cyanobacteria hold great potential to revolutionize conventional industries and farming practices with their light-driven chemical production. To fully exploit their photosynthetic capacity and enhance product yield, it is crucial to investigate their intricate interplay with the environment, in a particular light. Mathematical models provide valuable insights for optimising strategies in this pursuit. In this study, we present an ordinary differential equation-based model for cyanobacterium Synechocystis sp. PCC 6803 to assess its performance under various light sources, including monochromatic light. Our model accurately predicts the partitioning of electrons through four main pathways, O2 evolution, and the rate of carbon fixation. Additionally, it successfully captures chlorophyll fluorescence signals, enabling valuable information extraction. We explore state transition mechanisms, favouring PSII quenching over PBS detachment based on theoretical evidence. Moreover, we evaluate metabolic control for biotechnological production under diverse light colours and irradiances. By offering a comprehensive computational model of cyanobacterial photosynthesis, our work enhances understanding of light-dependent cyanobacterial behaviour and supports optimising their metabolism for industrial applications.

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Extracellular polymeric substances in psychrophilic cyanobacteria: A potential bioflocculant and carbon sink to mitigate cold stress

Shafeeq¹,

Hamid²,

Baba³

et al. 2022

Biocatalysis and Agricultural Biotechnology

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Electron Transport in Cyanobacteria and Its Potential in Bioproduction

Cited by 5 publications

References 160 publications

Development of a Biotechnology Platform for the Fast-Growing Cyanobacterium Synechococcus sp. PCC 11901

Development of a Biotechnology Platform for the Fast-Growing Cyanobacterium Synechococcus sp. PCC 11901

Shedding light on blue-green photosynthesis: A wavelength-dependent mathematical model of photosynthesis in Synechocystis sp. PCC 6803

Extracellular polymeric substances in psychrophilic cyanobacteria: A potential bioflocculant and carbon sink to mitigate cold stress

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