Characterization of a model cyanobacterium <i>Synechocystis</i> sp. PCC 6803 autotrophic growth in a flat‐panel photobioreactor

Zavřel, Tomáš; Sinetova, Maria A.; Búzová, Diana; Literáková, Petra; Červený, Jan

doi:10.1002/elsc.201300165

Cited by 65 publications

(76 citation statements)

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“…5, C and D), which is close to the maximal division rates we observed in our batch cultures and in line with Kim et al (2011). Moreover, when applying a dilution rate of 23, we first observed higher division rates (around four divisions per day), which is close to those reported by Hihara et al (2001) and Zavrel et al (2015). This fast growth rate led to an increase in the density of the culture before the division rates stabilize and quantitatively counterbalanced the daily dilution applied.…”

Section: Is Stationary Phase Reached Because Of Metabolic/ Nutrient Lsupporting

confidence: 90%

“…doubling times of between 14.1 and 9.6 h; Kim et al, 2011). Faster doubling times of 6 and 5.6 h were reported by Hihara et al (2001) and Zavrel et al (2015), respectively; however, in the case of the latter study, these division rates could not be maintained for more 120 h. Many studies have attempted to identify growth-limiting factors in Synechocystis (e.g. nutrients and light; Kim et al, 2011;Lea-Smith et al, 2014;Burnap, 2015;Touloupakis et al, 2015;van Alphen and Hellingwerf, 2015).…”

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confidence: 88%

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A Novel Mechanism, Linked to Cell Density, Largely Controls Cell Division in Synechocystis

et al. 2017

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ORCID IDs: 0000-0001-7618-4748 (M.I.); 0000-0001-8931-7722 (T.O.); 0000-0002-6113-9570 (R.S.).Many studies have investigated the various genetic and environmental factors regulating cyanobacterial growth. Here, we investigated the growth and metabolism of Synechocystis sp. PCC 6803 under different nitrogen sources, light intensities, and CO 2 concentrations. Cells grown on urea showed the highest growth rates. However, for all conditions tested, the daily growth rates in batch cultures decreased steadily over time, and stationary phase was obtained with similar cell densities. Unexpectedly, metabolic and physiological analyses showed that growth rates during log phase were not controlled primarily by the availability of photoassimilates. Further physiological investigations indicated that nutrient limitation, quorum sensing, light quality, and light intensity (self-shading) were not the main factors responsible for the decrease in the growth rate and the onset of the stationary phase. Moreover, cell division rates in fed-batch cultures were positively correlated with the dilution rates. Hence, not only light, CO 2 , and nutrients can affect growth but also a cell-cell interaction. Accordingly, we propose that cell-cell interaction may be a factor responsible for the gradual decrease of growth rates in batch cultures during log phase, culminating with the onset of stationary phase.

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Section: Is Stationary Phase Reached Because Of Metabolic/ Nutrient Lsupporting

confidence: 90%

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confidence: 88%

A Novel Mechanism, Linked to Cell Density, Largely Controls Cell Division in Synechocystis

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“…The Synechocystis substrain GT-L (Zavřel et al, 2015b) was cultivated in flat panel photobioreactors ( Figure 1A) using at least 5 independent reactors in a quasi-continuous (turbidostat) regime, as shown in Figure 1B, with red light intensities of 27.5 − 1100 µmol(photons) m −2 s −1 , supplemented with a blue light intensity of 27.5 µmol(photons) m −2 s −1 . The addition of blue light avoids possible growth limitations in the absence of short wavelength photons (Golden, 1995).…”

Section: Establishing a Controlled And Reproducible Cultivation Setupmentioning

confidence: 99%

“…Since Synechocystis exhibits significant variations with respect to genotype (Ikeuchi and Tabata, 2001) and phenotype (Morris et al, 2016;Zavřel et al, 2017), we chose the substrain GT-L, a strain that has a documented stable phenotype for at least four years preceding this study. All data are obtained under highly reproducible and controlled experimental conditions, using flat-panel photobioreactors (Nedbal et al, 2008) within an identical setup as in previous studies (Zavřel et al, 2015b).…”

Section: Introductionmentioning

confidence: 99%

Quantitative insights into the cyanobacterial cell economy

Zavřel

Faizi

Loureiro

et al. 2018

Preprint

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Phototrophic microorganisms are promising resources for green biotechnology. 13 Compared to heterotrophic microorganisms, however, the cellular economy of phototrophic 14 growth is still insufficiently understood. We provide a quantitative analysis of light-limited, 15 light-saturated, and light-inhibited growth of the cyanobacterium Synechocystis sp. PCC 6803 using 16 a reproducible cultivation setup. We report key physiological parameters, including growth rate, cell 17 size, and photosynthetic activity over a wide range of light intensities. Intracellular proteins were 18 quantified to monitor proteome allocation as a function of growth rate. Among other physiological 19 adaptations, we identify an upregulation of the translational machinery and downregulation of light 20 harvesting components with increasing light intensity and growth rate. The resulting growth laws 21 are discussed in the context of a coarse-grained model of phototrophic growth and available data 22 obtained by a comprehensive literature search. Our insights into quantitative aspects of 23 cyanobacterial adaptations to different growth rates have implications to understand and optimize 24 photosynthetic productivity. 25 26 2014). While quantitative insight into the cellular economy of phototrophic microorganisms is 36 still scarce, the cellular economy of heterotrophic growth has been studied extensively-starting 37 with the seminal works of Monod, Neidhardt, and others (Neidhardt et al., 1990; Neidhardt, 1999; 38 Jun et al., 2018) to more recent quantitative studies of microbial resource allocation (Molenaar 39 et al.40 Maitra and Dill, 2015; Weiße et al., 2015). In response to changing environments, heterotrophic 41 1 of 28 Manuscript submitted to eLife microorganisms are known to differentially allocate their resources: with increasing growth rate, 42 heterotrophic microorganisms typically exhibit upregulation of ribosomes and other proteins 43 related to translation and protein synthesis (Scott et al., 2010; Molenaar et al., 2009; Peebo et al., 44 2015), exhibit complex changes in transcription profiles, e.g. (Klumpp et al., 2009; Matsumoto et al., 45 2013), and increase cell size (Kafri et al., 2016). The molecular limits of heterotrophic growth have 46 been described thoroughly (Kafri et al., 2016; Erickson et al., 2017; Scott et al., 2014; Metzl-Raz 47 et al., 2017; Klumpp et al., 2013). 48 In contrast, only few studies so far have addressed the limits of cyanobacterial growth from an 49 experimental perspective (Bernstein et al., 2016; Yu et al., 2015; Abernathy et al., 2017; Ungerer 50 et al., 2018; Jahn et al., 2018). Of particular interest were the adaptations that enable fast pho-51 toautotrophic growth (Bernstein et al., 2016; Yu et al., 2015; Abernathy et al., 2017; Ungerer et al., 52 2018). The cyanobacterium with the highest known photoautotrophic growth rate, growing with a 53 doubling time of up to ∼ 1.5h, is the strain Synechococcus elongatus UTEX 2973 (Ungerer et al., 54 2018). Compared to its c...

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“…To this end, we have taken advantage of a previously developed platform for a detailed characterization of growth of photosynthetic microorganisms, 7 based on utilization of laboratory-scale flat-panel photobioreactors 8 . The cultivation and monitoring units allow the characterization of growth during batch, 9 quasi-continuous 7 or continuous cultivation under highly controlled conditions, including regulation of key cultivation parameters such as temperature, light, pH and concentration of input CO 2 10 . Moreover, the photobioreactors are designed to non-invasively and in real time estimate physiological parameters such as photosynthetic performance (based on O 2 production, CO 2 uptake or pigment fluorescence), as well as growth rates based on optical density monitoring.…”

Section: A Quantitative Evaluation Of Ethylene Productionmentioning

confidence: 99%

Optimizing cyanobacterial product synthesis: Meeting the challenges

et al. 2016

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The synthesis of renewable bioproducts using photosynthetic microorganisms holds great promise. Sustainable industrial applications, however, are still scarce and the true limits of phototrophic production remain unknown. One of the limitations of further progress is our insufficient understanding of the quantitative changes in photoautotrophic metabolism that occur during growth in dynamic environments. We argue that a proper evaluation of the intra- and extracellular factors that limit phototrophic production requires the use of highly-controlled cultivation in photobioreactors, coupled to real-time analysis of production parameters and their evaluation by predictive computational models. In this addendum, we discuss the importance and challenges of systems biology approaches for the optimization of renewable biofuels production. As a case study, we present the utilization of a state-of-the-art experimental setup together with a stoichiometric computational model of cyanobacterial metabolism for quantitative evaluation of ethylene production by a recombinant cyanobacterium Synechocystis sp. PCC 6803.

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Characterization of a model cyanobacterium Synechocystis sp. PCC 6803 autotrophic growth in a flat‐panel photobioreactor

Cited by 65 publications

References 60 publications

A Novel Mechanism, Linked to Cell Density, Largely Controls Cell Division in Synechocystis

A Novel Mechanism, Linked to Cell Density, Largely Controls Cell Division in Synechocystis

Quantitative insights into the cyanobacterial cell economy

Optimizing cyanobacterial product synthesis: Meeting the challenges

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