Abstract
The green microalga Dunaliella salina survives in a wide range of salinities via mechanisms involving glycerol synthesis and degradation and is exploited for large amounts of nutraceutical carotenoids produced under stressed conditions. In this study, D. salina CCAP 19/30 was cultured in varying photoperiods and light intensities to study the relationship of light with different growth measurement parameters, with cellular contents of glycerol, starch and carotenoids, and with photosynthesis and respiration. Results show CCAP 19/30 regulated cell volume when growing under light/dark cycles: cell volume increased in the light and decreased in the dark, and these changes corresponded to changes in cellular glycerol content. The decrease in cell volume in the dark was independent of cell division and biological clock and was regulated by the photoperiod of the light/dark cycle. When the light intensity was increased to above 1000 μmol photons m−2 s−1, cells displayed evidence of photodamage. However, these cells also maintained the maximum level of photosynthesis efficiency and respiration possible, and the growth rate increased as light intensity increased. Significantly, the intracellular glycerol content also increased, >2-fold compared to the content in light intensity of 500 μmol photons m−2 s−1, but there was no commensurate increase in the pool size of carotenoids. These data suggest that in CCAP 19/30 glycerol stabilized the photosynthetic apparatus for maximum performance in high light intensities, a role normally attributed to carotenoids.
Keywords: Dunaliella salina CCAP 19/30, Glycerol, Light intensity, Photoperiod, Photosynthesis, Stress
Highlights
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Cell volume oscillates with the light/dark cycle in Dunaliella salina CCAP 19/30.
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Cell volume and glycerol oscillations are under diurnal control.
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Glycerol increased >2-fold when light intensity doubled to 1000 μmol photons m−2 s−1.
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Glycerol stabilized the photosynthetic apparatus in high intensity light.
1. Introduction
Microalgae are a source of a variety of natural products (Priyadarshani and Rath, 2012, Spolaore et al., 2006) including high value nutraceuticals, the exploitation of which started in the 1970’s, with the use of Dunaliella salina for the production of β-carotene, an antioxidant and a precursor of vitamin A (Raja et al., 2008). Carotenoids are essential for photosynthesis within algal chloroplasts: they are involved in both the light harvesting and photoprotecting processes, and in stabilizing the structure of photosynthetic pigment-protein complexes and aiding in their function (Mimuro and Akimoto, 2003, Mulders et al., 2014). The halotolerant Dunaliella genus comprises green microalgae that have been intensively studied for the production of β-carotene as a valuable compound for the health food industry (Ben-Amotz et al., 1982a, Davidi et al., 2014, Tafreshi and Shariati, 2009). Dunaliella algae differ from many green algal species as their cells lack a rigid polysaccharide cell wall and are bounded only by a cytoplasmic membrane, which allows them to adjust their volume and shape rapidly in response to hypo- or hyper-osmotic changes (Sadka et al., 1989, Zelazny et al., 1995). Dunaliella also produces glycerol in a salt medium via photosynthesis and the level of intracellular glycerol has been found to be proportional to the extracellular salt concentration, reaching above 50% of the dry cell weight (Ben-Amotz et al., 1982b).
In the natural environment, all life is exposed to a daily cycle of light and dark fluctuation of light intensities and seasonal oscillation of daylight length as a result of the rotation of the planet. Eukaryotic and prokaryotic cells have evolved to respond to the rhythmic changes in environmental conditions and synchronize their cellular processes to the most appropriate time of the day (Dixon et al., 2014, Duanmu et al., 2014). Research on the green microalga Chlamydomonas reinhardtii shows that a wide range of biological processes including cell division, phototaxis, chemotaxis, cell adhesion, and nitrogen metabolism can be regulated by the natural clock and environmental conditions (Matsuo and Ishiura, 2011). Apart from the regulation of biological processes, both the yield and the composition of algal biomass are dependent on environmental light conditions. For example, starch synthesis and degradation in the marine microalga Ostreococcus tauri showed a diurnal pattern with maximum starch content obtained towards the end of the day when cultured under a 12 h light/12 h dark cycle (Sorokina et al., 2011).
In industrial algal cultivations, illumination conditions such as continuous light or a light dark cycle, the length of the photoperiod and the light intensity affect both the growth of microalgae and the biomass composition (Wahidin et al., 2013). Continuous illumination in a photobioreactor system is often used to maximize the biomass production; however, excess light energy that cannot be converted into chemical energy induces photoinhibition damage to the algal photosynthetic apparatus, and inhibits the growth of algal cells (Baroli and Melis, 1998, Mulders et al., 2014). The provision of appropriate light and dark periods is therefore likely to be essential for both the growth of D. salina and optimum yields of target products. So far, despite the fact that intensive research has been carried out on the response of various Dunaliella strains to changes in environmental salt concentrations (Alkayal et al., 2010, Goyal, 2007a, Goyal, 2007b, Lin et al., 2013, Zhao et al., 2013), limited information has been reported on the strain D. salina CCAP 19/30 in terms of its growth under varying light cycles and intensities.
To explore the effect of light period and light intensity on the regulation of growth, photosynthesis and biomass composition of CCAP 19/30, cells were cultured under a range of light/dark periods within a 24 h cycle and different light intensities and different markers of growth compared with those under continuous light. Photosynthesis of the cells was monitored in relation to light conditions along with the cellular content of photosynthesis-related biomass compounds including chlorophyll, carotenoids, protein, glycerol and starch. Understanding how regulation of light conditions and diurnal control helps to improve the production of algal biomass and desired bioproducts will guide treatment with suitable stressors and determine the time for treatment or harvesting of the algal biomass.
2. Material and methods
2.1. Algal strain and cell cultures
Green microalga Dunaliella salina CCAP 19/30 was obtained from the Culture Collection of Algae and Protozoa (CCAP, Scotland, UK). Our previous study has shown the strain CCAP 19/30 grows best in medium with the salinity of 0.5 M NaCl and identical growth curves were obtained when carbon sources were provided by either 10 mM NaHCO3 in the medium or continuous supply of 5% CO2. Therefore in this study algae were cultured in Modified Johnsons Medium (J/l) (Borowitzka, 1988) containing 0.5 M NaCl and 10 mM NaHCO3 with pH adjusted to 7.5 by 10 mM Tris-buffer. Algae were maintained on 2% agar plates in a temperature controlled growth chamber at (20 ± 2) °C. Illumination was provided under a 12 h light, 12 h dark cycle by cool white fluorescent lamps with a light intensity of ∼50 μmol photons m−2 s−1. Small stock cultures with ∼25 ml medium were grown to mid-log phase by inoculation from algal colonies on agar plates. Stock cultures were then diluted 1 in 50 (v/v) as inoculum for larger cultures in each experiment. For algal cultivation, Erlenmeyer flasks containing 500 ml medium each were maintained at 25 °C with continuous shaking (100 rpm) in an ALGEM Environmental Modeling Labscale Photobioreactor (Algenuity, UK), which enables algae to grow under closely controlled conditions of light, temperature and mixing level. LEDs located at the bottom of the bioreactor chamber support the photosynthetic growth of algae by providing white, red or blue light at controlled light intensities.
To explore the effect of various photoperiods, a stock culture was set up under 12 h light/12 h dark condition (LD) in the Algem at 25 °C with continuous shaking (100 rpm). This stock culture was maintained for three days, and at the end of the dark period, 10 ml of the culture was inoculated into 1 L flask containing 490 ml of the medium. Six cultures were inoculated and grown under various cycles over a 24 h period: continuous light (LL), 4 h light and 20 h dark (4/20 LD), 8 h light and 16 h dark (8/16 LD), 12 h light and 12 h dark (12/12 LD), 16 h light and 8 h dark (16/8 LD) and 20 h light and 4 h dark (20/4 LD). Under LL and 12/12 LD conditions, cell growth under a range of light intensities (50, 100, 200, 500, 1000 and 1500 μmol photons m−2 s−1) was compared. Each growth condition was set up at least in triplicate. Cell growth was monitored automatically in the bioreactor by recording the value obtained for light scatter at 725 nm in OD units, with a time interval of 1 h between measurements during the culture period. Cell concentration was determined by counting the cell number in culture broth using a haemocytometer.
Specific growth rate (μ) and doubling time (Td) of all cultures were calculated according to values of OD725nm recorded using the data output of the photobioreactor in order to characterize the cell growth at various conditions. The specific growth rate (μ) of the algal growth and doubling time (Td) were calculated according to:
where ODt and OD0 refer to optical density at time t (h) and time zero respectively.
2.2. Cell volume analysis
Cell number and cell size distribution of cultures under LL or 12/12 LD conditions were measured with a BD AccuriTM C6 flow cytometer (BD biosciences, USA) as described by (Barker et al., 2012). Cell size can be quantitatively obtained by accurately measuring the forward-angle light scatter (FSC) signals of the algal culture broth and compare the mean FSC values obtained from samples and calibrating beads of known diameters. Images of cells grown under various light intensities were taken using a cell counter (Celeromics Technologies 1300) connected to a microscope and analyzed to calculate the average cell volume of each condition. At least 100 cells were taken in the image of each culture condition and the average cell volume of all measurements was taken. The cell volume was calculated based on the method described by Sun and Liu (Sun and Liu, 2003). By assuming Dunaliella cells have a geometric shape of prolate spheroid, the biovolumes of CCAP 19/30 cells cultured under various light intensities were calculated according to the equation:
where d is the diameter of cross section and h is the diameter of apical section of a subspherical body.
2.3. Biomass analysis
Cells were harvested at 3 h intervals over a 24 h period to determine the cellular content of the target products: glycerol, chlorophyll and carotenoids. Based on our previous study, cells harvested by centrifugation at 3000 G would not be damaged and glycerol remained in cell pellets (Xu et al., 2015), therefore, 1 ml of culture samples were taken and centrifuged at 3000 G for 5 min to get the cell pellets. The pellets were then resuspended in 1 ml of distilled water and 200 μl of chloroform and vigorously vortexed to extract the glycerol. The water phase containing glycerol was separated from chloroform by centrifugation at 10,000 G for 10 min and the glycerol concentration in the water phase was determined according to the following procedure (Bondioli and Bella, 2005): A series of glycerol standards with various concentrations were prepared first to generate standard curves. Each working standard and the samples were treated with 1.2 ml of a 10 mM sodium periodate solution and shaken for 30 s. Each solution was then treated with 1.2 ml of a 0.2 M acetylacetone solution, placed in a water bath at 70 °C for 1 min and stirred manually. The solutions were immediately placed in cold water to stop the reaction and the absorbance was measured using a UV/Vis spectrometer at wavelength of 410 nm.
Cellular protein content was determined using the Total protein kit, Micro Lowry, Peterson’s Modification (Sigma-Aldrich Co. LLC.) according to manufacturer’s instructions. Cellular starch content was measured using Total Starch Assay Kit (Megazyme, Ireland) according to the manufacturer’s instructions.
Pigments were extracted from harvested biomass using 80% (v/v) acetone. The absorbance of acetone extract without cell debris was measured at wavelength of 480 nm for total carotenoids. The content of total carotenoids was calculated according to Strickland & Parsons (Strickland and Parsons, 1972):
Total Carotenoids (μg ml−1) = 4.0 × Abs480nm, |
where Abs480nm is the absorbance of 80% acetone extract measured at 480 nm.
Chlorophyll a, b and total Chlorophyll were evaluated by measuring the absorbance of the acetone extract at 664 nm and 647 nm and calculated according to Porra et al. (Porra et al., 1989):
Chl a (μg ml−1) = (12.25 × Abs664nm) – (2.55 × Abs647nm); |
Chl b (μg ml−1) = (20.31 × Abs647nm) – (4.91 × Abs664nm), |
Total Chl (μg ml−1) = Chl a (μg ml−1) + Chl b (μg ml−1), |
where Abs647nm and Abs664nm refer to the absorbance of the 80% acetone extract measured at 664 nm and 647 nm respectively.
A sine wave equation trend-line was fitted to the data for cell size, cell glycerol content and cell starch content using Microsoft Excel 2013 solver to optimise A, f and k by minimising the sum of the square of the differences between the results derived from the experimental data and those calculated from the equations, for the sine wave described by equation:
where A is the amplitude, f is frequency (day-1), t is time (day), k is a phase shift constant and B is the overall average value.
2.4. Oxygen evolution and dark respiration
Cells were harvested during the exponential growth phase and NaHCO3 was added to a final concentration of 10 mM 5 min before the start of each measurement. The rate of net O2 evolution and dark respiration were measured as described by Brindley at al. (Brindley et al., 2010) at 25 °C by a Clark-type electrode (Hansatech) (Delieu and Walker, 1983). O2 evolution was induced with 1500 μmol photons m−2 s−1 actinic light. After an initial period of 30 min of dark adaption, O2 evolution was measured for 5 min followed by dark respiration for 20 min. The average net rate of photosynthesis was then determined from the oxygen gradient over 5 min, dO2/dt. Dark respiration was determined by following the same procedure, except that it was calculated using the data from the last 5 min of the 20 min experiment. Sodium dithionite was used to calibrate the electrode.
2.5. Room temperature fluorescence
The maximum quantum yield of photosystem II was measured using a Walz PAM 101 fluorometer with the 101-ED emitter-detector unit. Walz Optical Unit ED-101US was used for cell suspension. All samples were grown to an OD725nm of ∼0.5. Actinic light for state-2 to state-1 transitions was provided by Flexilux 150 HL white light behind a blue Corning 4–96 glass filter. Prior to measurement cells were dark-adapted for 5 min. Minimum fluorescence (F0) was determined by illuminating with measuring light (0.01 μmol photons m−2 s−1). Maximum fluorescence (Fm) for dark-adapted state was determined with 0.8 s long saturation (6500 μmol photons m−2 s−1) pulse delivered from a Schott KL 1500 white light source. The actinic light was then turned on and a second saturation pulse was applied after 20 min (F’m). At the end of state transitions measurement, actinic light was turn off to obtain F′0. The maximum quantum yield of PSII (Fv/Fm) was calculated as (Fm–F0)/Fm; The effective quantum yield of PSII (ΦPSII) was calculated as (F’m–Ft)/F’m; Photochemical quenching (qP) was calculated as (F’m – Ft)/(F’m–F′0) (Genty et al., 1989).
3. Results
3.1. Growth of CCAP 19/30 under continuous light and light/dark cycles with various photoperiods
To investigate the effect of different photoperiod on the growth of CCAP 19/30, cultures were exposed to 24 h light/dark (LD) cycles with different photoperiods and also continuous light (LL). Results are shown in Fig. 1 (see also Supplementary Material Table I). The light periods were 4, 8, 12, 16, 20 and 24 h in every 24 h (4/20 LD, 8/16 LD, 12/12 LD, 16/8 LD, 20/4 LD and LL respectively) with the light intensity of 200 μmol photons m−2 s−1. The data show that cultures grown under different light conditions showed different overall growth rates over the six days monitored. The longer the photoperiod that the cultures were exposed to, the faster the growth rates and the higher the cell densities that could be obtained. Moreover, different growth rates were obtained in the light periods and the dark periods for cultures grown in LD cycles. Algae grown in all LD cycle conditions presented a clear rhythmic oscillation in the optical density of the culture broth (Fig. 1). Light scatter at 725 nm was used as a measure of the biomass concentration of the cultures and increased in all light periods but decreased in all dark periods. This oscillation in the optical density was absent in cultures grown under continuous light. Besides, this oscillation was found to respond exactly to the rhythmic changes of the light conditions in all LD cultures despite the length of the photoperiods (Fig. 1).
3.2. Cell volume of CCAP 19/30 is controlled by light/dark cycles
The cell density, optical density and cell volume of CCAP 19/30 cultures were monitored over a 48 h period when cultured under 12/12 LD conditions with the light intensity of 200 μmol photons m−2 s−1 during the light periods. As shown in Fig. 2A, over the 48 h period monitored, the optical density of the respective cultures showed clear oscillations and increased in the light periods and decreased in the dark periods. However, in Fig. 2B cell number of the cultures slightly increased both in the light and dark periods. If the total biovolume is evaluated by multiplying the average cell volume with the cell number, it can be concluded that the average cell volume must also decrease in the dark period in order for the optical density to decrease while the cell number increases. As a result, the decrease in optical density suggests either the division of mother cells into smaller daughter cells or an actual reduction in the cell volume. Cell division could explain why the optical density remained relatively unchanged during the dark in the first few days when the cell density was low. However, after cell density increased, the optical density had a significant decrease during the dark period despite the length of the photoperiods (Fig. 1), indicating cell division was not the main reason that cells in the dark had smaller cell volumes. The more likely explanation was that algal metabolism during the LD cycle caused oscillations in the cellular content of osmolytes such as glycerol, which further induced the oscillation in the cell volume over the cycle. Cultures under continuous light were changed to LD conditions at the end of the log phase and the optical densities started to show the oscillation once the cultures were placed in the dark (data not shown), confirming that the decrease in optical density was only caused by absence of light.
Flow cytometry was used to monitor cell numbers and measure the cell diameter of CCAP 19/30 cells grown under 12/12 LD cycles in order to find out whether the oscillation of biomass density (optical density of the culture broth) was caused by changes in cell volumes. By running a series of calibrating beads sizing from 1 to 15 μm in diameter, it can be seen that the mean forward-angle light scatter (FSC-A) signal is in a high linear relationship with the particle size (Fig. 2D). Thus the FSC-A values of cultures grown over the 48 h LD cycles as shown in Fig. 2C prove that the cell diameter increased during the light periods and decreased in the dark periods.
3.3. Cellular glycerol and starch content increased in light and decreased in dark
Glycerol is one of the most important osmolytes in Dunaliella cells that regulate the changes in cell volume. Dunaliella species are able to accumulate a significant amount of intracellular glycerol in response to the extracellular osmotic pressure (Ben-Amotz and Avron, 1981, Chitlaru and Pick, 1991). In the present study, extracellular osmotic conditions were held constant, and consequently the changes of cell volume during the LD cycles should reflect a similar oscillation in the cellular glycerol content so as to maintain constant intracellular osmotic conditions. As shown in Fig. 3A, cellular glycerol content of CCAP 19/30 grown under 12/12 LD cycles showed an oscillation changing within the range of 1.7–9.3 pg cell−1. The cellular glycerol content increased overall in the light periods tending to reach the maximum level around the end of the light periods. In the dark, glycerol content per cell decreased, then increased a few hours before the light period. It has been reported that the carbon source for glycerol synthesis in Dunaliella upon salt stress is contributed by both photosynthesis and starch degradation (Goyal, 2007b), so cellular starch content of CCAP 19/30 grown under 12/12 LD cycles was measured as shown in Fig. 3B. Cellular starch content over the LD cycles shows a similar pattern to cellular glycerol content in CCAP 19/30, namely, it increased in the light, then decreased in the dark and then increased some hours before return of the light period. The decrease then increase in the dark period in starch and glycerol contents per cell is noteworthy. As shown in Fig. 3(C) and (D), each of cell size, and cellular glycerol and starch contents varied over time in a sinusoidal manner, with the effects of time on each dependant variable being statistically significant (P < 0.001). When the data were fitted to a sine wave function the time periods of the wave for each data set were calculated as 24.9 h and 23.3 h for cell size and cellular glycerol content respectively, but only 20.7 h for cellular starch content. Clearly many effects including additional dark-related events such as membrane lipid breakdown releasing glycerol may be involved in modulating starch and glycerol pool sizes in the dark. Nevertheless, overall the data suggest that the diurnal cycle of photosynthesis and respiration under 12/12 LD conditions would appear to play a major role in regulating the cycle of cellular glycerol and starch content.
3.4. Growth of CCAP 19/30 under light/dark cycles with different light intensities
Comparing the growth of CCAP 19/30 under continuous light and various LD cycles in Fig. 1, it is apparent that under continuous light, algal growth rate is significantly improved since the carbon assimilation rate is higher with more light energy received by the cells. Increasing the light intensity should therefore increase the algal growth rate. As shown in Fig. 4, when increasing the light intensity from 50 to 1500 μmol photons m−2 s−1, the growth rate of CCAP 19/30 increased rapidly with the increase in light intensity in both LD and LL light conditions. Fig. 4 also shows that during the dark periods (12–24 h and 36–48 h), the optical densities of cultures grown under the LD cycles decreased markedly in contrast to the situation for cultures grown under continuous light, which is consistent with the result shown in Fig. 1.
Table 1 compares the doubling times, obtained by calculating the maximum specific growth rate, for CCAP cultures grown either under a period of either continuous light at different light intensities or under the LD cycle. Since the growth rate in the light period differs from that in the dark phase only the light period growth rates were used. These data together with those in Fig. 4 show that although under continuous light, cultures could reach high cell densities in a shorter time, which means a faster overall growth rate, cultures grown under LD cycles actually grew slightly faster in the light period than cultures under continuous light, indicating that cells grown in a LD cycle condition are fine-tuned to carry out photosynthesis more efficiently than under continuous light.
Table 1.
Light intensity (μmol photons · m−2 · s−1) | Doubling time |
|
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Continuous light | Light/dark period | |
50 | 198.0 (±19.1) | 63.0 (±11.2) |
200 | 28.0 (±2.8) | 23.3 (±2.1) |
500 | 7.5 (±0.1) | 6.4 (±0.2) |
1000 | 7.2 (±0.2) | 5.0 (±0.2) |
1500 | 6.5 (±0.3) | 4.2 (±0.1) |
3.5. Major biomass compositions of CCAP 19/30 grown under various light intensities
Dunaliella species have been found to be carotenoid-accumulating strains such that the carotenoids/chlorophyll ratio significantly increases upon high light stress. In the present study, the pigment composition (total chlorophyll and carotenoids) of CCAP 19/30 grown under 12/12 LD cycle with light intensities from 50 to 1500 μmol photons m−2 s−1 was determined. As can be seen in Table 2, with increasing light intensities, the cells appeared to be increasingly stressed based on the reduction in content of both chlorophyll and carotenoids. Furthermore, the carotenoids/chlorophyll ratio of CCAP 19/30 only slightly increased from low light to high light (Table 2). By contrast, cellular glycerol content increased. Shown in Table 2, the glycerol content of CCAP 19/30 cultures growing in LD conditions under various light intensities was monitored during the mid-log phase of growth and at the end of the light period during a 24 h period when glycerol reaches the maximum level. At low light when the light intensities were 50, 200 or 500 μmol photons m−2 s−1, the cellular glycerol content was maintained at similar levels (, however when the light intensity increased to high light (1000 and 1500 μmol photons m−2 s−1), the cellular glycerol content increased >2-fold compared to the values at low light (Table 2). Unlike cellular glycerol content, total starch and protein content of CCAP 19/30 cells grown under various light intensities remained constant when increasing the light from 50 to 1500 μmol photons m−2 s−1 as shown in Table 2.
Table 2.
Light intensity (μmol photons m−2 s−1) | Carotenoids (pg cell−1) | Chlorophyll (pg cell−1) | Carotenoids/Chlorophyll | Glycerol (pg cell−1) | Starch (pg cell−1) | Protein (pg cell−1) | Average cell volume (μm3) |
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50 | 0.81 ± 0.11 | 3.23 ± 0.45 | 0.25 ± 0.00 | 8.97 ± 1.66 | 20.16 ± 0.67 | 22.51 ± 2.24 | 175.60 ± 46.44 |
200 | 0.78 ± 0.13 | 3.65 ± 0.61 | 0.21 ± 0.00 | 12.06 ± 3.17 | 23.71 ± 0.85 | 22.44 ± 1.41 | 190.03 ± 56.48 |
500 | 0.58 ± 0.01 | 2.25 ± 0.11 | 0.26 ± 0.01 | 7.51 ± 1.05 | 20.64 ± 3.67 | 22.21 ± 2.03 | 179.32 ± 48.33 |
1000 | 0.56 ± 0.02 | 1.83 ± 0.10 | 0.31 ± 0.01 | 23.26 ± 3.94 | 21.86 ± 2.55 | 26.63 ± 4.08 | 202.19 ± 41.29 |
1500 | 0.53 ± 0.02 | 1.54 ± 0.07 | 0.34 ± 0.01 | 21.14 ± 4.02 | 20.72 ± 1.06 | 19.28 ± 2.39 | 210.72 ± 55.39 |
3.6. Photosynthetic activities of CCAP 19/30 acclimated to various light intensities
Prolonged exposure to high light is known to induce photodamage, resulting in less functional photosystems and decrease in the photosynthetic yield (Baroli and Melis, 1998, Melis, 1999), yet using OD725nm measurement, CCAP 19/30 appeared to grow optimally at high light intensities of 1000 and 1500 μmol photons m−2 s−1: these levels of light are normally considered to be photodamaging for higher plants and other photosynthetic microorganisms (Havaux et al., 2000). In order to gain more insight into the photosynthetic health of cells that had been fully acclimated to light intensity ranging from 50 to 1500 μmol photons m−2 s−1, the quantum yield of photosystem II (PSII), photochemical quenching, and oxygen evolution were investigated.
The quantum yield of PSII is measured by the ratio of Fv/Fm, and represents the maximum potential quantum efficiency of PSII if all capable reaction centres were open. Fig. 5 shows that the Fv/Fm value decreased with increase in light intensity from ∼0.55 at 50 and 200 μmol photons m−2 s−1, and reached a constant low value of between 0.3 and 0.4 for light intensities above 500 μmol photons m−2 s−1 (Fig. 5). In parallel, O2 evolution rate decreased from 50 to 500 μmol photons m−2 s−1 when normalized to cell number (Fig. 6A) or was unchanged when normalized to total chlorophyll (Fig. 6B); remarkably, however, O2 evolution rate increased to a maximum level for those cells acclimated to 1000 and 1500 μmol photons m−2 s−1 (Fig. 6A and B).
Photosynthetic efficiency is often calculated from fluorescence measurement as the product of effective quantum yield of open PSII center (ΦPSII) and fraction of PSII centres in the open state (qP). Despite the decrease in the Fv/Fm with light intensity, other photosynthetic parameters such as effective ΦPSII and qP were relatively unchanged with increase in the light intensity (Fig. 5). Shown in Fig. 6C and D, dark respiration rate first decreased from 50 to 200 μmol photons m−2 s−1, then increased from 200 to 1500 μmol photons m−2 s−1 (Fig. 6C and D). Shown in Fig. 7, the decrease in both photosynthesis and respiration from 50 to 200 μmol photons m−2 s−1 was accompanied by glycerol synthesis and the cellular glycerol content increased. From 200 to 500 μmol photons m−2 s−1, the increase in respiration rate with the decrease in photosynthesis coupled with the now declining cellular glycerol content suggested that cells started to use glycerol for respiration at 500 μmol photons m−2 s−1. From 500 to 1000 μmol photons m−2 s−1, both photosynthesis and respiration increased remarkably, paralleling the increase in cellular glycerol concentration; while from 1000 to 1500 μmol photons m−2 s−1, photosynthesis became saturated and respiration continued to increase, most likely at the expense of glycerol, which declined in concentration. Taken together with the growth data, these data suggest that CCAP 19/30 cells adjust their photosystems to achieve maximum photosynthesis even when they are exposed to high light intensity and suffering photodamage. The link between photosynthetic efficiency and glycerol synthesis is shown clearly in Fig. 7, and suggests that glycerol plays an important role along with carotenoids (Table 2) in protecting cells from oxidative damage.
4. Discussion
The work presented here shows that D. salina CCAP 19/30 cells alter their cell diameter in response to a light/dark cycle of light, and that the periodicity of change in cell diameter corresponds to change in cellular glycerol content. Results in Fig. 2 illustrate that the cells increase in volume in the light periods and decrease in volume in the dark periods. To our best knowledge, this is the first report of cell volume oscillation in D. salina when growing under diurnal conditions. Since D. salina cells lack a rigid polysaccharide cell wall, their cytoplasmic membranes allow the cells to adjust their volume and shape rapidly in response to the environmental changes (Maeda and Thompson, 1986). Although early studies have reported rhythmic changes in cell shapes of Euglena gracilis (Lonergan, 1983), the mechanism in E. gracilis is different to that in D. salina reported in this study. E. gracilis cell shape is under direct control of the biological clock and thus even under continuous light, the daily rhythm of cell shape remains. However, when D. salina was grown under continuous light, the oscillation in cell shape ceased (Fig. 1), indicating that it is under the control of diurnal change rather than circadian rhythm, or due to cell division. The oscillation in cell volume and cellular glycerol content of CCAP 19/30 is not found in several other Dunaliella species maintained in the laboratory, including Dunaliella parva, Dunaliella quartolecta, and Dunaliella polymorpha nor in green microalga Chlamydomonas reinhardtii (data not shown); and since no previous report has been found, it may be a species specific property.
The synthesis or degradation of glycerol in response to osmotic pressure change is commonly assumed to be triggered by cell volume change (Ben-Amotz and Avron, 1981, Zelazny et al., 1995). However in this study, we show by using light/dark cycles that the change in cell volume can also be the result of change in cellular glycerol content. Glycerol is produced by Dunaliella via photosynthesis and the adjustment in glycerol concentration is achieved by regulating the carbon flux between either the synthesis of starch or glycerol (Goyal, 2007b, Goyal, 2007a). In the dark, there is no carbon fixed to glycerol from photosynthesis, and starch is respired to produce energy and metabolites: the pool size of glycerol is thus reduced. This causes the cell volume to decrease in the dark to maintain the osmotic pressure. With further time in the dark an apparent increase in cellular glycerol and starch contents was observed: this seemingly counter-intuitive observation may nevertheless be due to additional dark-related events such as the effects of lipid catabolism in photoautotrophic algae that have been deprived of an external carbon and energy source, releasing fatty acids and glycerol.
It is well documented that exposure of chloroplasts to high light leads to PSII photodamage when the rate of photodamage exceeds that of the repair cycle, leading to photoinhibition and reduced photosynthetic efficiency (Melis, 1999, Yokthongwattana and Melis, 2008). For the higher plant Arabidopsis thaliana, the rate of photodamage dominates in light intensities greater than 500 μmol photons m−2 s−1 and leads to photoinhibition (Havaux et al., 2000). In our study, light intensity at all values above 500 μmol photons m−2 s−1 resulted in a decrease in the ratio of Fv/Fm by about 34% compared to that at 200 μmol photons m−2 s−1 indicating PSII damage. The decreased photosynthetic rate observed for cultures acclimated to light intensities of 200 and 500 μmol photons m−2 s−1 is therefore likely to be due to photoinhibition. At higher light intensities, however, photosynthetic rate increased to a maximum level (Fig. 6A and 6B). This finding implies that CCAP 19/30 might have evolved an efficient repair cycle that allows it to turnover damaged PSII at a much faster rate at high light intensity to allow it to maintain maximum photosynthetic efficiency. Indeed, it has been shown that Dunaliella tertiolecta was able to recover the PS II efficiency by 80% from photodamage within just 1 min of dark adaption (Casper-Lindley and Björkman, 1998).
The enhanced rate of photosynthesis at high light intensities in this study contributed to the tolerance of CCAP 19/30 to photodamage. The rate of photodamage is dependent upon QA redox state, occurring at low probability when QA is oxidized and excitation energy is utilized in the electron transport chain at a much faster rate (Melis, 1999). Increase in the photosynthetic rate therefore leads to rapid oxidation of the PQ-pool, which in turn drains electrons at a much faster rate from the QA site of PSII, reducing the possibility of PSII-photodamage. The ability of D. salina to enhance photosynthetic activity under stressed conditions has been previously reported by Liska et al. (Liska et al., 2004). In their study, the enhanced photosynthesis was found to contribute to salinity tolerance of D. salina and cells grown at high salinity showed enhancement of CO2 assimilation, starch mobilization as well as up regulated key enzymes in photosynthesis.
When exposed to high light, the Dunaliella cells are reported to use the carotenoid synthesis pathway as a protective mechanism against photodamage (Kim et al., 2013, Mulders et al., 2014, Park et al., 2013, Salguero et al., 2003). Different Dunaliella strains may vary significantly in their response to light stress and show different sensitivity to the light intensities. In this study, the strain CCAP 19/30 only shows a slight increase in the carotenoids/chlorophyll ratio with both carotenoids and chlorophyll content decreased due to photoinhibition (Table 2). This suggests that carotenoid synthesis in this strain may not be the main functioning mechanism to protect cells from high light stress. Instead, the >2-fold increase in cellular glycerol content at high light indicates glycerol may act as a chemical chaperone to maintain photosynthetic efficiency at high light. In a previous study by Yilancioglu et al. (Yilancioglu et al., 2014), a strong correlation between glycerol production and the maximum and effective photosynthetic yield parameters showed that glycerol plays an important role not only in regulating the osmotic balance but also determining the yield and biochemical composition of the biomass under oxidative stress.
Glycerol synthesis in Dunaliella species as a response to osmotic stress has been intensively studied. Upon hyperosmotic stress, Dunaliella cells respond immediately by reducing their cell volume due to water efflux across the cell membrane (Chen and Jiang, 2009). Plasma membrane sterols sense the cell volume change and trigger the synthesis of glycerol (Zelazny et al., 1995). In the present study, increasing cellular concentration of glycerol correlated positively with photodamage to the cells cultured under different light intensities, as indicated by the Fv/Fm values (Fig. 5). At the same time results in this study show that with high light stress, photosynthesis is enhanced and that the increase in photosynthesis was accompanied by an increase in dark respiration rate (Fig. 6C and D) and glycerol synthesis (Fig. 7A and B). The faster growth rate in high light (Fig. 4) shows energy demand is higher, and was probably met by the faster carbon assimilation and respiration (Fig. 6). These findings accord with a previous study which found that Dunaliella cells contained higher glycerol contents at higher light intensities (Davis et al., 2015). The higher cellular glycerol content of cells grown at high light intensities also indicates larger cell diameters at high light, as shown in Table 2, the average cell volume of cells indeed increases with the light intensity, which is in line with the study on D. salina CCAP 19/18 by Park et al. (Park et al., 2013). However, despite the significant increase in cellular glycerol content at 1000 and 1500 μmol photons m−2 s−1 (about 2-fold of that at 50, 200 and 500 μmol photons m−2 s−1), the cell volume did not show such a significant increase with light (Table 2), indicating that glycerol functions as more than an osmolyte to balance the osmotic pressure in CCAP 19/30, but also a protecting mechanism when under high light stress.
In Fig. 8 we propose a working model in which CCAP 19/30 uses glycerol in metabolic homeostasis because glycerol synthesis is able to reduce the possibility of photoinhibition by draining electrons from the QA site from photosynthesis (Fig. 7). Thus in light, dihydroxyacetone phosphate (DHAP), the precursor of glycerol is isomerised rapidly and reversibly by triose phosphate isomerase from glyceraldehyde-3-phosphate (GAP), the export product of the Calvin cycle in photosynthesis placing an energy demand on the cell, whilst glycerol synthesis from DHAP requires reducing equivalents (NADH or FADH2) for glycerol phosphate dehydrogenase functionality. The parallel increase in respiration (Fig. 6C and D) suggests that synthesized glycerol might be used for anabolic metabolism via oxidative respiration using the mitochondrial citric acid cycle. The actual pool size of glycerol however could be a reflection of multiple survival strategies under high light intensity since glycerol can also be used for membrane (triglyceride) regeneration, or stored in the form of starch. In some lipid-storing green algae (Combe et al., 2015, Yilancioglu et al., 2014) oxidative stress either caused by nitrogen depletion or by exposure to excess light or by application of exogenous H2O2 is correlated with an increase in triglycerides content (but also see (Ben-Amotz et al., 1985)). Glycerol can also serve as a biocompatible solute or chemical chaperone to assist in refolding damaged proteins (Lamitina et al., 2006). Clearly glycerol has multiple functions that serve to protect and maintain growth of CCAP 19/30 cells not only in conditions of high salinity but also under high light intensities.
Contribution
Yanan Xu and Iskander M. Ibrahim were responsible for design of and conducting the experiments and preparation of the manuscript.
Patricia J. Harvey was responsible for planning, analysis of data and preparation of the manuscript.
Acknowledgement
This research was supported by a grant to Prof. Patricia Harvey as part of Ecotec21 a project selected under the European Cross-border Cooperation Programme INTERREG IV A France (Channel) – England, co-funded by the European Régional Development Fund and by grant agreement no. 613870 awarded under FP7 KBBE.2013.3.2–02. The authors would like to express their sincere gratitude to Prof. Ami Ben-Amotz, Dr John Milledge and to Dr Elinor P Thompson for invaluable discussion and to Dr Paul Dyer for his assistance with the flow cytometer analysis undertaken.
Footnotes
Supplementary data related to this article can be found at http://dx.doi.org/10.1016/j.plaphy.2016.05.021.
Appendix A. Supplementary data
The following is the supplementary data related to this article:
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