Salt response of the freshwater microalga Scenedesmus obliquus (Turp.) Kutz is modulated by the algal growth phase

Taha Mohamed EL-KATONY, Magda Faiz EL-ADL

Department of Botany and Microbiology, Faculty of Science, Damietta University, New Damietta City 34517, Egypt

Received Mar. 14, 2019; accepted in principle Jul. 2, 2019; accepted for publication Sep. 5, 2019 © Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020

Abstract Growth and biochemical responses of the coenobial green alga Scenedesmus obliquus to salinity stress were monitored across difference erent phases of growth. The alga was cultured on BG11 growth medium and subjected to 0, 30, 100, and 200 mmol/L NaCl for a period of 20 d, during which algal cultures were harvested at 4-d intervals. The salinity-induced inhibition of algal growth was accompanied with prolongation of timing of the difference erent growth phases. The sharp and progressive salinity-induced inhibition of algal growth rate during the early phase of growth points to salt shock but moderation of inhibition at the subsequent stages of growth means algal acclimation to salinity. The concentrations of chlorophylls a and b, soluble sugars, proteins as well as those of K + and Na + in the alga exhibited peaks at the initiation of the exponential phase of growth, with increasing magnitude in proportion to the increase in the level of salinity. Nevertheless, whereas soluble sugars of the alga peaked at initiation of the exponential phase, starch concentration progressively increased with culture age, reaching saturation towards the stationary phase. Whereas the salinity-induced increase in soluble sugars was most evident at the early stages of growth the reverse was true for starch. The present results point to fast acclimation of S. obliquus to salt stress post a brief salt shock, utilizing soluble sugars, K + and Na + for osmotic adjustment. Increasing salinity from 0 to 200 mmol/L NaCl led to progressive increase in soluble sugars, proteins, K + and Na + concentrations of the algal cells, particularly at the early stages of growth. However, the salinity-induced increase in chlorophyll concentration approached a limit at 100 mmol/L NaCl whereas that in starch concentration was more evident at the later stages of growth.

Keyword: carbohydrates; growth phase; minerals; protein; salt stress; Scenedesmus obliquus

1 INTRODUCTION

Soil and water salinity represents a serious threat to land productivity in several regions of the world, particularly the arid and semiarid zones. The problem is further aggravated by secondary salinization due to anthropogenic activities, which renders an increasing sector of the cultivated lands barren and non-fertile every year. As a strategy to cope with the problem of salinity, the poor-quality water can be utilized for cultivation of non-conventional crops that can tolerate harsh environments, in a way to devote the fresh water supplies for human use and production of food crops.

However, algae can afference ord a valuable alternative to higher plants for utilization of salt-afference ected soils and waters. Bleakley and Hayes (2017) highly appreciated the role of macroalgae (seaweeds) and microalgae in modern agriculture and termed them “under-exploited crops”. Manipulation of algae, instead of higher plants, for production of energy and animal feed can solve several problems such as competition with food production, land utilization, prolonged cultivation times, low yield, and seed toxicity (Alam et al., 2015). In addition, algae have outstanding potentiality to cope with harsh environments compared with higher plants (Lawton et al., 2015). Planktonic algae are often subjected to fl uctuating salt concentrations, particularly in estuarine water (Moisander et al., 2002), which might aid in the emergence of salttolerant algal generations by virtue of their rapid growth and reproduction rates.

Fig.1 Absorbance of the S. obliquus culture across a wavelength range of 600-760 nm

Difference erent algal species can be manipulated for production of human food, animal feed, and biofuel, in addition to the production of biologically active and antimicrobial compounds (Li et al., 2008; Bleakley and Hayes, 2017). The growth and oil producing eき ciency of algae are much higher than that of conventional oil-seed crops such as corn and soybean (Li et al., 2008). Green microalgae contain 20%-70% lipid and exhibit extraordinarily potential for cultivation as energy crops (De Vries et al., 2010). Biomass productivity and the biochemical composition are key factors determining the suitability of algae for utilization in production of useful products (Park et al., 2011). For example, protein concentration is critical for animal feed (Boland et al., 2013), whereas high lipid content is important for biofuel production (Elliott et al., 2015). Another advantage of algae over higher plants is that they can grow on industrial, municipal, and agricultural eラ uents as well as in fresh and marine waters, which evaluates them for use in wastewater treatment (Chinnasamy et al., 2010).

Scenedesmus is a genus of coenobial green algae, with regularly four or eight cells per coenobium and difference erent morphology according to the cultural conditions, including the level of salinity (Kaewkannetra et al., 2012). S. obliquus is one of the most promising algal species as feedstock for biodiesel production by virtue of its fast growth, eき cient photosynthesis, ability to accumulate lipids and to grow in wastewaters (Tang et al., 2011; Kaewkannetra et al., 2012). In addition, S. obliquus has the ability to utilize organic substrates, such as molasses, under both light and dark conditions (Combres et al., 1994), a characteristic justifying its use in bioremediation of organic wastes. The present work was conducted to monitor the consequences of salinity stress on growth and chemical composition of S. obliquus (Turp.) Kutz during difference erent growth phases. Our hypothesis is that salt response of this microalga can vary according to the growth phase. The outcomes of this work are necessary for selection of the appropriate time and level of salinity for future manipulation of S. obliquus in oil production.

2 MATERIAL AND METHOD

2.1 Algal material

Scenedesmus obliquus (Turp.) Kutz was collected from the Nile River at Damietta city (31°25′N and 31°67′E), and was identifi ed according to Guiry and Guiry (2013). The alga was isolated and maintained on BG11 growth medium (Tran et al., 2010), and the culture was renewed at regular intervals to maintain the alga in the exponential phase of growth.

2.2 Efference ect of salinity on algal growth and performance

One milliliter of the starting S. obliquus maintenance culture was inoculated in 250-mL Erlenmeyer fl asks containing 100 mL of sterile Chu 10 culture medium. The stock Chu 10 medium contained (mg/L): Ca(NO3)2·4H2O 57.5, K2HPO45, MgSO4·7H2O 25, Na2CO320, Na2SiO325, FeCl3·6H2O 1.33, and the pH was adjusted to 7.5±0.1. Salinity stress was imposed by adding NaCl to the medium at concentrations of 0, 30, 100, and 200 mmol/L. The fl asks were incubated, with periodic gentle shaking, in a growth chamber supplemented with white fl uorescent tubes to give irradiance of 50 μmol photons PAR/(m2·s) for 24 h at an average temperature of 25°C. An aliquot (20 mL) of the algal culture was harvested at 4-d intervals across a growth period of 20 d, and separate fl asks were used for each harvest. The experiment was factorial with two factors and three replications in a completely randomized design. The main factors were: 1) salinity with four levels (0, 30, 100, and 200 mmol/L NaCl) and 2) age of the culture with six levels (0, 4, 8, 12, 16, and 20 d).

2.3 Estimation of algal growth

Algal growth was estimated spectrophotometrically by measuring absorbance of the culture at 680 nm (A680). Scanning of the culture absorbance across a range of 600-760 nm yielded a peak at 680 nm (Fig.1).

2.4 Algal analysis

For estimation of the difference erent algal constituents, an aliquot of the algal culture was centrifuged at 6 000× g for 5 min; the pellet was re-suspended in distilled water and centrifuged, and this step was repeated once more to wash cells from the bathing solution.

2.4.1 Estimation of photosynthetic pigments

Photosynthetic pigments of the alga were determined according to the method described by Wellburn and Lichtenthaler (1984). The washed algal pellet was extracted in 80% acetone using cold mortar and pestle in dim light. The slurry was centrifuged and the clear extract was brought up to volume with 80% acetone and absorbance was read at 646 and 663 nm using a UNICO 7200 series spectrophotometer. The concentrations of chlorophyll a (chl a) and chlorophyll b (chl b) were calculated (μg/mL) using the following equations:

2.4.2 Estimation of carbohydrate fractions

2.4.2.1 Total soluble sugars (TSS)

The washed algal pellet was homogenized using a very small pestle fi tted in 1.5-mL Eppendorf tube containing 1 mL of boiling 80% ethanol for 30 min and the mixture was centrifuged at 8 000× g for 10 min. Extraction was repeated with fresh 80% ethanol, followed by centrifugation and the extracts were bulked. The residue was kept at -4°C for determination of starch. The supernatant was quantitatively transferred to glass vials and evaporated to dryness at 70°C, re-dissolved in distilled water and used for determination of soluble sugars. An aliquot of the aqueous extract was completed to 1 mL by distilled water, mixed carefully with 3 mL of the anthrone reagent (8.6 mmol/L anthrone in 80% v/v H2SO4) and heated in water bath at 80°C for 10 min. After cooling in an ice bath, absorbance was read at 623 nm against the reagent blank. Total soluble sugars were estimated from a glucose calibration curve in the range of 0 to 100 μg glucose/mL (Schlüter and Crawford, 2001).

2.4.2.2 Starch

The residue left after extraction of soluble sugars was suspended in 9.6 mol/L HClO4and stirred for 15 min at 25°C for complete hydrolysis of starch (Brányiková et al., 2011). The resulting glucose units were estimated by the anthrone method. Starch was expressed as glucose equivalents using glucose calibration curve in the range of 0 to 100 μg glucose/mL.

2.4.3 Estimation of protein

The washed algal pellet was extracted in 1 mL of 1 N NaOH for 24 h at 4 °C and the debris was removed by centrifugation at 6 000× g for 10 min. Protein content of the supernatant was determined according to the method of Bradford (1976). An aliquot of the supernatant was completed to 1 mL with distilled water, mixed with 5 mL of the Coomassie brilliant blue reagent and absorbance was read at 595 nm after standing for 5 min at room temperature. Protein concentration was calculated using a standard curve of bovine serum albumin in the range of 0-100 μg/mL.

2.4.4 Estimation of minerals

The algal K+and Na+were extracted according to the method described by Hansen and Munns (1988). The washed algal pellet was extracted in 1 mL of distilled water in Eppendorf tubes at 95°C for 2 h. The debris was removed by centrifugation at 8 000× g for 10 min. and the clear extract was used for determination of K+and Na+using a Jenway PFP7 fl ame photometer.

2.5 Defi nitions and calculations

Relative growth rate (RGR) of the alga, also known as the eき ciency index, was estimated from the following equation:

where M2and M1are the algal biomass estimated as A680at times t2and t1, respectively.

The times (d) to 10% growth ( T10), 50% growth ( T50) and 90% growth ( T90) were taken to express the length of the lag period, the midpoint of the exponential phase and onset of the stationary phase, respectively. Therefore, the period ( T90- T10) was taken to express the length of the exponential phases. The concentrations of chlorophylls, soluble sugars, starch, proteins, and ions in the alga were estimated based on A680as a measure of growth.

2.6 Statistical analysis

The data were subjected to two-way ANOVA using SPSS version 22 to assess and the efference ect of the main factors (age of culture and level of salinity) and their interaction on algal growth and composition. Mean separation was performed using the Duncan’s multiple range test at P ＜0.05.

3 RESULT

The two-way ANOVA revealed highly signifi cant efference ect of the main factors (level of salinity and age of the algal culture) and their interaction on algal growth and composition (Table 1). Among the main factors, age of culture exerted a stronger efference ect on algal composition (with greater F ratio) relative to salinity level. However, algal biomass and algal concentrations of starch and Na+exhibited stronger response to salinity than to culture age.

3.1 Algal growth

Time course of algal growth exhibited a sigmoidal pattern, with distinct lag period, followed by an exponential phase and ultimately a stationary phase. The timing of onset of these phases was markedly prolonged with the increase in the level of salinity. The values of T10, T50and T90were increased by 74%, 39%, and 50%, respectively, upon increasing salinity from 0 to 200 mmol/L NaCl (Fig.2a).

Besides afference ecting timing of the difference erent growth phases, salinity led to marked reduction in algal growth, and the magnitude of reduction varied according to the growth stage. During the early stage of growth (up to 8 d), algal growth exhibited a sharp progressive reduction of 85% with the increase in salinity from 0 to 200 mmol/L NaCl. However, at the later stages, algal growth exhibited relatively moderate reductions of 67% by the 12thday and 58% afterwards as salinity level exceeded a threshold of 30 mmol/L NaCl up to 200 mmol/L NaCl. In addition, with the progress of age, the threshold salinity was associated with progressive promotion of algal growth (Fig.2b).

RGR of S. obliquus followed a common time course with a peak of 0.42/d across the period 4-8 d (i.e., by the 6thday of growth), irrespective of salinity level and variable efference ect of salinity around this peak (Fig.2c). The efference ect of salinity on RGR was manifested as a strong inhibition during the early stage of growth that diminished with the progress of time, and reversed to a marked promotion, which in turn diminished at the late stages. During the earliest period of growth (0-4 d) RGR was progressively lowered from 0.328/d in absence of salinity 0 to -0.151/d at 200 mmol/L NaCl, but this aggressive efference ect of salinity diminished during the subsequent period (4-8 d). A positive efference ect of salinity on RGR was then observed across the third growth interval, where RGR was increased from 0.133/d in absence of salinity to 0.322/d at 200 mmol/L NaCl; and this positive efference ect again diminished to a small positive efference ect at the fourth interval and almost no efference ect at the fi nal interval (Fig.2d).

Table 1 Two-way ANOVA showing the efference ect of the main factors (salinity and age of culture) and their interaction on growth and chemical composition of S. obliquus

3.2 Photosynthetic pigments

The concentrations of chl a and chl b in the algal cells exhibited a bell-shaped time course, with peaks at the 4thday of growth, which magnitudes difference ered according to the level of salinity (Fig.3a & c). Likewise, the efference ect of salinity was modulated by the age of culture. At the early stages of growth (the period from the 4thto the 8thday), chl a and chl b, with overall high levels, exhibited a peak at 100 mmol/L NaCl. Post this early period, the two pigments exhibited steady moderate increase with the increase in salinity up to 200 mmol/L NaCl and the magnitude of increase being inversely proportional to the culture age (Fig.3b & d).

Fig.2 Efference ect of salinity on growth of S. obliquus

Despite the coincidence in the time course and efference ect of salinity on chl a and chl b of S. obliquus, the magnitude of response difference ered in the two pigments. This led to changes in the time course and salinity efference ect on the chl a/chl b ratio. The time course of chl a/chl b ratio exhibited a distinct periodic rhythm at salinity levels up to 100 mmol/L NaCl, with alternating minima and maxima. However, at 200 mmol/L NaCl, the initial decline was followed by steady low values across the period of 4-16 d with a limited rise at the 20thday (Fig.3e). The response of chl a/chl b ratio to salinity varied according the growth stage. During the early phase of growth (4-8 d), chl a/chl b ratio was subjected to negligible decline in response to salinity. However, during the subsequent period (12-16 d), the chl a/chl b ratio exhibited a transient limited increase at 30 mmol/L NaCl, followed by marked decline with further increase in salinity up to 200 mmol/L NaCl. At the latest stage of growth (the 20thday), the chl a/chl b ratio exhibited progressive decline of 53% across the whole range of salinity (Fig.3f).

Fig.3 Efference ect of salinity on photosynthetic pigment composition of S. obliquus

3.3 Carbohydrate fractions

Total soluble sugars (TSS) of the alga exhibited their peaks by the 4thday of growth at all salinity levels, but with increasing magnitude in proportion with the increase in salinity level of the medium (Fig.4a). Likewise, the efference ect of salinity on TSS was age-dependent, being particularly evident at the earliest stage of growth (the 4thday), at which TSS experienced a fourfold increase as salinity level increased from 100 to 200 mmol/L NaCl. Although the increase in TSS by salinity at the 8thday of growth amounted to about six folds, the overall level of TSS was very low at this stage. Post the 8thday, the salinityinduced increase in TSS concentration of the alga was very limited with overall very low levels of TSS (Fig.4b).

Fig.4 Efference ect of salinity on carbohydrate fractions of S. obliquus

Starch concentration of the alga exhibited an initial increase up to a certain age, followed by either a steady level or slight decline depending on the level of salinity. At 0 and 30 mmol/L NaCl, the increase in starch concentration progressed up to the 12thand 4thd respectively, followed by a plateau, but at 100 and 200 mmol/L NaCl, the increase progressed up to the 12thand 16thd, followed by a slight decrease (Fig.4c). Salinity led to increasing starch concentration of the alga, and the magnitude of increase varied from 120% at the early stages of growth (the 4thand 8thd) to 260% at the latter stages, as salinity exceeded 30 mmol/L up to 200 mmol/L NaCl (Fig.4d).

Fig.5 Time course of protein (a) and the starch/protein ratio (c) of S. obliquus under increasing salinity levels; salinityresponse relationship of protein (b) and the starch/protein ratio (d) at difference erent growth stages

The time course of the TSS/Starch ratio of the alga varied according to the level of salinity. At the low salinity levels (0 and 30 mmol/L NaCl) the TSS/Starch ratio was subjected to sharp decline with the progress of culture age up to the 12thday of growth, with no further decline afterwards. However, at higher salinity levels (100 and 200 mmol/L NaCl) there was a transient moderate increase by the 4thday of growth, followed by sharp decline afterwards (Fig.4e). Likewise, the efference ect of salinity on the TSS/starch ratio of the alga depended on the growth stage, being particularly evident at the early stages of growth. After 4 d of growth, the TSS/starch ratio exhibited a minimum at 30 mmol/L NaCl, followed by a sharp rise with further increase in salinity up to 200 mmol/L NaCl, whereas after 8 d, the rise was progressive up to 100 mmol/L NaCl with no further increase at 200 mmol/L NaCl. At the late stages of growth (12-20 d), the very low values of the TSS/starch ratio led to very limited efference ect of salinity but with a maximum at 30 mmol/L NaCl (Fig.4f).

3.4 Protein content and starch/protein ratio

Algal protein exhibited a time course similar to that of total soluble sugars (TSS), peaking by the 4thday of growth with increasing peak magnitude in proportion with the increase in the level of salinity (Fig.5a). Increasing salinity post 30 mmol/L NaCl led to progressive increase in protein concentration of the alga. However, the magnitude of increase was most pronounced at the early stages of growth (averaged around seven folds at the 4thand 8thd) but fades out with the progress of culture age (amounting to only two folds at the 12thday and down to 93% at the 16thand 20thd) (Fig.5b).

The starch/protein ratio of the alga exhibited a time course similar to that of growth, with an initial lag phase, followed by a period of sharp rise and terminated with a steady phase or a slight decline (Fig.5c). The transition between these phases was modulated by the level of salinity. For example, the lag period was relatively brief, with an average of 4 d in the control and 30 mmol/L NaCl but prolonged up to the 8thday at 100 and 200 mmol/L NaCl. Likewise, the beginning of the stationary phase was set at the 12thday for 0-100 mmol/L NaCl but extended up to the 16thday for 200 mmol/L NaCl. In turn, the efference ect of salinity on the starch/protein ratio depended on the growth stage. At the early stages of growth (4-8 d), the starch/protein ratio was in the overall low and declined by about 70% as salinity exceeded a threshold of 30 mmol/L NaCl up to 200 mmol/L NaCl. By the 12thday, the efference ect of salinity on the starch/protein ratio was negligible, and later on (the 16th-20thd), the ratio experienced a small decrease at 30 mmol/L NaCl, followed by 90% increase with further increase in salinity up to 200 mmol/L NaCl (Fig.5d).

3.5 Mineral content

K+concentration of the alga exhibited a time course similar to that of soluble sugars and protein concentration with peaks, of increasing magnitude with the increase in salinity, by the 4thday of growth (Fig.6a). Increasing salinity led to a progressive increase in K+concentration of the alga, and the magnitude of increase was most pronounced at the early stages of growth, averaging around three folds at the 4thand 8thd but diminished with the progress of culture age, approaching 95% at the 12thday and only 37% at the 16thand 20thd (Fig.6b).

The time course of the algal Na+concentration was more or less similar to that of K+. However, the peaking time was shifted from the 4thday at low and moderate salinity (up to 100 mmol/L NaCl) to the 8thday at 200 mmol/L NaCl (Fig.6c). The increase in Na+concentration of the alga, in response to salinity, varied from 22 folds at the 4thand 12thd of growth and 10 folds at the 16thand 20thd across the whole range of salinity to 34 folds post 100 mmol/L and up to 200 mmol/L NaCl at the 8thday (Fig.6d).

The time course of algal K+/Na+ratio exhibited a periodic rhythm of sharp decline by the 4thday, followed by sharp rise during the subsequent 8 or 12 d, then mild decline and rise across the steady phase of growth. Whereas the initial sharp reduction in the K+/Na+ratio was intensifi ed with the increase in salinity, with magnitudes of 75%, 85%, 92% and 96% at 0, 30, 100 and 200 mmol/L NaCl, respectively; the subsequent rise was diminished by salinity, and amounted to 2.5 folds at 0-100 mmol/L NaCl across the period from the 4th-12thd and 80% across the period from the 4th-16thd at 200 mmol/L NaCl (Fig.6e). The reduction in K+/Na+ratio of the alga in response to salinity averaged around 90% across the whole range of salinity, independent on the culture age (Fig.6f).

4 DISCUSSION

The sigmoidal growth curve of S. obliquus, with a distinct lag period followed by an exponential phase and ultimately a stationary phase, is in accordance with the postulation of Rai et al. (2015) that microalgae share the growth phases of microbial populations. However, the timing of onset of the difference erent growth phases is expected to vary depending on the algal species, growth conditions, and presence of stress factors. The genotypic efference ect emerges clearly when comparing the relatively brief growth phases of S. obliquus with the prolonged phases of Chl orella sp. demonstrated by Rai et al. (2015). The present work suggests that in addition to adversely afference ecting the magnitude of growth, salinity also slowed down the speed of S. obliquus growth, with delayed timing of transition between the difference erent growth phases, particularly onset of the exponential phase. The reduction in microalgal growth under salinity stress has been reported for Scenedesmus sp. CCNM 1077 (Pancha et al., 2015), and Chl orella sp. (Rai et al., 2015), and the slowing down of growth rate has been reported for Chl orella vulgaris (Church et al., 2017).

The earlier sharp progressive reduction of S. obliquus growth rate in response to salinity versus the moderate sluggish reduction at the subsequent growth stages might mean that immediate exposure of the alga to salt stress induces salt shock, leading to growth retardation and achievement of negative growth rates, but, prolonged exposure to salinity will allow the development of salt resistance mechanisms, which aids in algal acclimation to salt stress. The earlier depression in RGR of the alga by salinity turned to no efference ect at mid stages of growth and subsequently to growth promotion, which in turn diminished with the progress of culture age towards the stationary stage. This behavior is expected in view of the limited culture volume used in the present work, which will lead to briefi ng of the difference erent growth phases.

Fig.6 Efference ect of salinity on mineral composition of S. obliquus

Salt acclimation or acquired salinity tolerance is common in plant cells, where previous exposure to salinity induces protective mechanisms and confers tolerance against subsequent exposure to high salinity (Pandolfi et al., 2016). The distinct ability of algal cells to acclimate to salt stress has been proposed by Erdmann and Hagemann (2001), who postulated that almost all cell types, including algae and cyanobacteria, are able to withstand a certain range of salt concentrations. Rapid acclimation to salinity stress is expected in micro-algae by virtue of their vigorous metabolic activity and high rate of cell division. In such organisms, growth and reproduction can be considered two aspects of cell division, where the new growth is in fact a new generation with distinct physiological and probably genetic characteristics. The osmotic and specifi c ion hazards of salinity stress can activate intensive acclimation processes that lead to production of resistant cells with distinct physiological characteristics. This acclimation process involves restoration of turgor via buildup of osmolytes, regulated ion uptake via changes in membrane permeability and accumulation of compatible solutes (Khatoon et al., 2014) as well as adjustment of metabolism via altered gene expression and enzyme activity (Erdmann and Hagemann, 2001).

The peaks of chl a, and chl b, coincided with the initiation of exponential phase of growth, and chlorophyll concentration declined in aging cells, probably in synchrony with lowering of metabolic activity. In addition, algal acclimation to salinity stress seems to be associated with alteration in the photosynthetic pigment composition of the alga. The initial salt shock was associated with a benefi cial efference ect of 100 mmol/L NaCl compared with either lower or higher salinities, but later on, the benefi cial efference ect of moderate salinity diminished and was replaced with a progressive, although mild, increase in photosynthetic pigment concentration with the increase in salinity. The reduction in biomass at high salinity was associated with reduction in chlorophyll content of Amphora subtropica (BenMoussa-Dahmen et al., 2016) and Scenedesmus sp. CCNM 1077 (Pancha et al., 2015). The striking matching in the periodicity of the chl a/chl b ratio and the K+/Na+ratio of S. obliquus suggests that the alteration in algal K+concentration, either temporal or salinity-induced, has direct consequences on chl a in particular. The mild efference ect of salinity on the chl a/chl b ratio at the early stages of growth versus a marked reducing efference ect at the later stages might mean that the adverse efference ect of salinity on photosynthetic pigments, which targets chl a in particular, is intensifi ed with the progress of culture age.

The peaks of soluble sugars (SS) coincided with termination of the lag phase and onset of the exponential phase of growth, whereas starch exhibited a progressive increase towards the stationary phase of growth. This suggests that accumulation of soluble sugars is a pre-requisite for initiation of the exponential phase to fuel cell division and metabolic activities of this rapid growth stage. However, as the cells grow older there is a tendency to store photosynthates in the form of starch, with consequent lowering in the SS/starch ratio. This might also mean that S. obliquus manipulates primarily soluble sugars as osmotically active solutes for initiation of the active growth phase, but subsequently another osmotica, probably Na+, K+and proline, might aid in osmotic adjustment, concomitantly with conversion of soluble sugars to starch. In this regard, it has been claimed that the inter-conversion of carbon resources of algal cells among soluble sugars, starch, and lipids depends on algal species and environmental conditions (Del Río et al., 2017). For example, the pathways of lipid and starch synthesis compete for common bio-synthetic precursors in Chlamydomonas reinhardtii (Chiu et al., 2017), and the excess algal photosynthates are converted into storage carbohydrates (starch) or lipids under N defi ciency (Yamaguchi et al., 2017).

The rise in the SS/starch ratio of S. obliquus with the increase in salinity might point to salinity-induced conversion of starch to soluble sugars or limited condensation of soluble sugars into starch. This might represent a mechanism of osmotic adjustment under the impact of salinity. The role of soluble sugars, along with other osmotically active compatible solutes such as proline and glycine betaine, in maintenance of cellular structure and functioning is well-established (Ahmed et al., 2017). Carbohydrate content of Amphora subtropica increased under salinity stress, despite the reduction in algal biomass and chlorophyll content (BenMoussa-Dahmen et al., 2016). Salinity has been reported to increase sugar, glycerin, and proline contents of microalgae (Erdmann and Hagemann, 2001). Although the increase in proline, soluble proteins, and soluble carbohydrates of microalgae under the impact of salinity was achieved at the expense of insoluble and total contents of proteins and carbohydrates, accumulation of active osmolytes has been considered an adaptive response rather than a refl ection of impaired metabolism (Ahmed et al., 1989). The present fi ndings suggest that at initiation of the exponential phase, high salinity might induce buildup of soluble sugars with an overall enhanced production of photosynthates. However, by the mid-exponential phase, salinity seems to enhance conversion of starch to soluble sugars, resulting in marked rise in SS with an overall inhibition of photosynthesis. The increase in starch concentration in S. obliquus, observed in the present work particularly at the later stages of growth, is in accordance with that reported by Siaut et al. (2011) for the fresh water microalga Chlamydomonas reinhardtii.

The peaking of protein concentration of S. obliquus at the onset of the exponential phase, in harmony with photosynthetic pigments, SS and K+, might mean that the production of SS and protein and, to a lesser extent photosynthetic pigments, as well as the uptake of K+are aspects of algal performance that are similarly afference ected by salinity and growth phase of the alga. Nevertheless, protein concentration of Thalassiosira weissfl ogii increased progressively with the advance of diatom growth from the exponential to the stationary phase (García et al., 2012). This pattern of favored protein synthesis at the early stage of algal growth, followed by enhanced production of starch at the expense of protein, which was manifested as a progressive rise in the starch/protein ratio of the alga with progress of culture age-might arise from nutrient limitation during the late stages of algal growth. In support to this postulation, N defi ciency can lead to conversion of excess algal photosynthates into starch (Yamaguchi et al., 2017).

The promoting efference ect of salinity on algal protein at the early stages of growth that diminished with the progress of culture age might mean that salt shock targets primarily cell division and expansion without afference ecting protein synthesis, but with the elapse of time, salinity can inhibit protein synthesis to a greater extent relative to its efference ect on algal growth. Salinity has been reported to reduce protein concentration of Amphora subtropica (BenMoussa-Dahmen et al., 2016) and Nanno chl oropsis sp. (Gu et al., 2012). However, the efference ect of salinity on algal proteins seems to be related to alterations in carbohydrate content. Whereas the enhanced carbohydrate content was associated with reduced protein content in Ulva lactuca (Kumari et al., 2014), it was associated with increased protein content in Nanno chl oropsis sp. and Tetraselmis sp. (Khatoon et al., 2014). Expectedly, salinity might afference ect algal protein fractions difference erentially, where the increase in soluble proteins was associated with a decrease in insoluble-and total proteins as reported for Scenedesmus obliquus (Ahmed et al., 1989).

The peaking of algal K+concentration and to a lesser extent Na+concentration, in harmony with SS, at the initiation of the exponential phase of growth signifi es that the eき ciency of K+and Na+accumulation is associated with the enhanced metabolic activity of the vigorously growing cells at this stage of growth. The striking increase in algal K+concentration with the increase in salinity, particularly at the early stages of growth that diminished with the progress of culture age might mean that the actively growing cells at the early stages of growth possess a distinct ability to restore K+homeostasis under the impact of salinity, a trait that diminishes in mature cells. This conclusion can be supported by the relatively moderate salinityinduced reduction in the algal K+/Na+ratio at the early stages of growth versus marked decrease at the late stages. It has been claimed that upon exposure of plant cells to salinity, specifi c processes such as regulation of ion uptake, restoration of turgor pressure, and accumulation of compatible solutes and stress proteins are activated (Talebi et al., 2013; Bonomelli et al., 2018). However, because of cell aging, the adverse efference ect of salinity emerged again at the late stationary phase. Thus, the adverse efference ect of salinity on membrane integrity and K+selectivity seems to be mild in the vigorously growing cells but severe in the mature cells of the late stationary phase.

The peaking of algal Na+concentration at initiation of the exponential phase of growth might be viewed as manipulation of Na+, as a cheap inorganic osmoticum, under the impact of salinity stress rather than indiscriminate seep of Na+across the membrane. It is quite probable that, at the initiation of this active stage of growth, algal cells possess integral membranes with conscious control of ion passage into the cell. This ability seems to diminish in the mature cells of the late stationary phase. In support to the role of salt ions in osmotic adjustment, the biomass peak of Thalassiosira weissfl ogii at high salinity has been attributed to the increase in the mineral fraction, which might be manipulated in osmotic adjustment (García et al., 2012). Nevertheless, excessive accumulation of Na+and Cl-under salinity stress, which is mostly accompanied with lowered K+selectivity and low Ca2+uptake, would lead to ionic imbalance in plant cells (Sudhir and Murthy, 2004). One of the aspects of ionic imbalance is the lowering of the K+/Na+ratio, which can be considered a sensitive indicator of the salt injury in plant cells (Maathuis and Amtmann, 1999). Maintenance of the K+/Na+homeostasis via limitation of Na+uptake may be considered as tolerance mechanisms to salt stress (Akça and Samsunlu, 2012; Yang and Guo, 2018). The present fi ndings reveal that S. obliquus utilizes K+and Na+in addition to soluble sugars for osmotic adjustment under salinity stress, particularly at the early stages of growth.

5 CONCLUSION

The adverse efference ect of salinity on S. obliquus was manifested as slowing down of the speed of growth and delay in timing of transition between the difference erent growth phases. S. obliquus rapidly acclimates to salt stress, post a brief salt shock, utilizing diverse osmotica including soluble sugars in addition to K+and Na+. Accumulation of soluble sugars in the algal cells seems a pre-requisite for enrollment in the rapid growth stage, but as the cells grow older starch represents the main carbohydrate storage.

6 DATA AVAILABILITY STATEMENT

The data sets of the current study are available from the corresponding author on reasonable request.

References

Ahmed A M, Mohame d A A, Heikal M M, Shafea A A. 1989. Changes in metabolism of Scenedesmus obliquus after relief of salinization stress. Medical Journal of Islamic World Academy of Sciences, 2(2): 100-105.

Ahmed R A, He M L, Aftab R A, Zheng S Y, Nagi M, Bakri R, Wang C H. 2017. Bioenergy application of Dunaliella salina SA 134 grown at various salinity levels for lipid production. Scientif ic Reports, 7(1): 8 118, https://doi.org/10.1038/s41598-017-07540-x.

Akça Y, Samsunlu E. 2012. The efference ect of salt stress on growth, chlorophyll content, proline and nutrient accumulation, and K/Na ratio in walnut. Pakistan Journal of Botany, 44(5): 1 513-1 520.

Alam A, Ullah S, Alam S, Shah H U, Aftab S, Siddiq M, Manzoor N. 2015. Inf luence of culture media and carbon sources on biomass productivity and oil content of the algae Sirogonium sticticum, Temnogyra ref lexa, Uronema elongatum, and Chroococcus turgidus. Turkish Journal of Botany, 39(4): 599-605, https://doi.org/10.3906/bot-1405-16.

BenMoussa-Dahmen I, Chtourou H, Rezgui F, Sayadi S, Dhouib A. 2016. Salinity stress increases lipid, secondary metabolites and enzyme activity in Amphora subtropica and Dunaliella sp. for biodiesel production. Bioresource Technology, 218: 816-825, https://doi.org/10.1016/j.biortech.2016.07.022.

Bleakley S, Hayes M. 2017. Algal proteins: extraction,

application, and challenges concerning production.

Foods, 6(5): 33, https://doi.org/10.3390/foods6050033.

Boland M J, Rae A N, Vereijken J M, Meuwissen M P M, Fischer A R H, Van Boekel M A J S, Rutherfurd S M, Gruppen H, Moughan P J, Hendriks W H. 2013. The future supply of animal-derived protein for human consumption. Trends in Food Science & Technology, 29(1): 62-73, https://doi.org/10.1016/j.tifs.2012.07.002.

Bonomelli C, Celis V, Lombardi G, Mártiz J. 2018. Salt stress efference ects on avocado ( Persea americana Mill.) plants with and without seaweed extract ( Ascophyllum nodosum) application. Agronomy, 8(5): 64, https://doi.org/10.3390/agronomy8050064.

Bradford M M. 1976. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Analytical Biochemistry, 72(1-2): 248-254, https://doi.org/10.1016/ 0003-2697(76)90527-3.

Brányiková I, Maršálková B, Doucha J, Brányik T, Bišová K, Zachleder V, Vítová M. 2011. Microalgae—novel highly eき cient starch producers. Biotechnology and Bioengineering, 108(4): 766-776, https://doi.org/10.1002/bit.23016.

Chinnasamy S, Bhatnagar A, Hunt R W, Das K C. 2010. Microalgae cultivation in a wastewater dominated by carpet mill eラ uents for biofuel applications. Bioresource Technology, 101(9): 3 097-3 105, https://doi.org/10.1016/j.biortech.2009.12.026.

Chiu L D, Ho S H, Shimada R, Ren N Q, Ozawa T. 2017. Rapid in vivo lipid/carbohydrate quantifi cation of single microalgal cell by Raman spectral imaging to reveal salinity-induced starch-to-lipid shift. Biotechnology for Biofuels, 10: 9, https://doi.org/10.1186/s13068-016-0691-y.

Church J, Hwang J H, Kim K T, McLean R, Oh Y K, Nam B, Joo J C, Lee W H. 2017. Efference ect of salt type and concentration on the growth and lipid content of Chl orella vulgaris in synthetic saline wastewater for biofuel production. Bioresource Technology, 243: 147-153, https://doi.org/10.1016/j.biortech.2017.06.081.

Combres C, Laliberté G, Reyssac J S, De La Noüe J. 1994. Efference ect of acetate on growth and ammonium uptake in the microalga Scenedesmus obliquus. Physiologia Plantarum, 91(4): 729-734, https://doi.org/10.1111/j.1399-3054.1994.tb03012.x.

De Vries S C, Van De Ven G W J, Van Ittersum M K, Giller K E. 2010. Resource use eき ciency and environmental performance of nine major biofuel crops, processed by fi rst-generation conversion techniques. Biomass and Bioenergy, 34(5): 588-601, https://doi.org/10.1016/j.biombioe.2010.01.001.

Del Río E, García-Gómez E, Moreno J, Guerrero M G, García-González M. 2017. Microalgae for oil. Assessment of fatty acid productivity in continuous culture by two highyield strains, Chl orococcum oleofaciens and Pseudokirchneriella subcapitata. Algal Research, 23: 37-42, https://doi.org/10.1016/j.algal.2017.01.003.

Elliott D C, Biller P, Ross A B, Schmidt A J, Jones S B. 2015. Hydrothermal liquefaction of biomass: developments from batch to continuous process. Bioresource Technology, 178: 147-156, https://doi.org/10.1016/j.biortech.2014.09.132.

Erdmann N, Hagemann M. 2001. Salt acclimation of algae and cyanobacteria: a comparison. In: Rai L C, Gaur J P eds. Algal Adaptation to Environmental Stresses: Physiological, Biochemical and Molecular Mechanisms. Springer, Berlin, Heidelberg. p.323-361, https://doi.org/10.1007/978-3-642-59491-5_11.

García N, López-Elías J A, Miranda A, Martínez-Porchas M, Huerta N, García A. 2012. Efference ect of salinity on growth and chemical composition of the diatom Thalassiosira weissfl ogii at three culture phases. Latin American Journal of Aquatic Research, 40(2): 435-440, https://doi.org/10. 3856/vol40-issue2-fulltext-18.

Gu N, Lin Q, Li G, Tan Y H, Huang L M, Lin J D. 2012. Efference ect of salinity on growth, biochemical composition, and lipid productivity of Nanno chl oropsis oculata CS 179. Engineering in Life Sciences, 12(6): 631-637, https://doi.org/10.1002/elsc.201100204.

Guiry M D, Guiry G M. 2013. AlgaeBase. World-wide Electronic Publication, National University of Ireland, Galway. http://www.algaebase.org. Accessed on 2013.

Hansen E H, Munns D N. 1988. Efference ect of CaSO₄ and NaCl on mineral content of Leucaena leucocephala. Plant and Soil, 107(1): 101-105, https://doi.org/10.1007/BF02371550.

Kaewkannetra P, Enmak P, Chiu T. 2012. The efference ect of CO2and salinity on the cultivation of Scenedesmus obliquus for biodiesel production. Biotechnology and Bioprocess Engineering, 17(3): 591-597, https://doi.org/10.1007/s12257-011-0533-5.

Khatoon H, Rahman N A, Banerjee S, Harun N, Suleiman S S, Zakaria N H, Lananan F, Abdul Hamid S H, Endut A. 2014. Efference ects of difference erent salinities and pH on the growth and proximate composition of Nanno chl oropsis sp. and Tetraselmis sp. isolated from South China Sea cultured under control and natural condition. International Biodeterioration & Biodegradation, 95: 11-18, https://doi.org/10.1016/j.ibiod.2014.06.022.

Kumari P, Kumar M, Reddy C R K, Jha B. 2014. Nitrate and phosphate regimes induced lipidomic and biochemical changes in the intertidal macroalga Ulva lactuca (Ulvophyceae, Chlorophyta). Plant and Cell Physiology, 55(1): 52-63, https://doi.org/10.1093/pcp/pct156.

Lawton R J, De Nys R, Magnusson M E, Paul N A. 2015. The efference ect of salinity on the biomass productivity, protein and lipid composition of a freshwater macroalga. Algal Research, 12: 213-220, https://doi.org/10.1016/j.algal. 2015.09.001.

Li Y Q, Horsman M, Wang B, Wu N, Lan C Q. 2008. Efference ects of nitrogen sources on cell growth and lipid accumulation of green alga Neo chl oris oleoabundans. Applied Microbiology and Biotechnology, 81(4): 629-636, https://doi.org/10.1007/s00253-008-1681-1.

Maathuis F J M, Amtmann A. 1999. K+Nutrition and Na+toxicity: the basis of cellular K+/Na+ratios. Annals of Botany, 84(2): 123-133, https://doi.org/10.1006/anbo. 1999.0912.

Moisander P H, McClinton E, Paerl H W. 2002. Salinity efference ects on growth, photosynthetic parameters, and nitrogenase activity in estuarine planktonic cyanobacteria. Microbial Ecology, 43(4): 432-442, https://doi.org/10.1007/s00248-001-1044-2.

Pancha I, Chokshi K, Mishra S. 2015. Enhanced biofuel production potential with nutritional stress amelioration through optimization of carbon source and light intensity in Scenedesmus sp. CCNM 1077. Bioresource Technology, 179: 565-572, https://doi.org/10.1016/j.biortech.2014.12.079.

Pandolfi C, Azzarello E, Mancuso S, Shabala S. 2016. Acclimation improves salt stress tolerance in Zea mays plants. Journal of Plant Physiology, 201: 1-8, https://doi.org/10.1016/j.jplph.2016.06.010.

Park J B K, Craggs R J, Shilton A N. 2011. Wastewater treatment high rate algal ponds for biofuel production. Bioresource Technology, 102(1): 35-42, https://doi.org/10.1016/j.biortech.2010.06.158.

Rai M P, Gautom T, Sharma N. 2015. Efference ect of salinity, pH, light intensity on growth and lipid production of microalgae for bioenergy application. OnLine Journal of Biological Sciences, 15(4): 260-267, https://doi.org/10.3844/ojbsci.2015.260.267.

Schlüter U, Crawford R M M. 2001. Long-term anoxia tolerance in leaves of Acorus calamus L. and Iris pseudacorus L. Journal of Experimental Botany, 52(364): 2 213-2 225, https://doi.org/10.1093/jexbot/52.364.2213.

Siaut M, Cuiné S, Cagnon C, Fessler B, Nguyen M, Carrier P, Beyly A, Beisson F, Triantaphylidès C, Li-Beisson Y, Peltier G. 2011. Oil accumulation in the model green alga Chl amydomonas reinhardtii: characterization, variability between common laboratory strains and relationship with starch reserves. B M C Biotechnology, 11: 7, https://doi.org/10.1186/1472-6750-11-7.

Sudhir P, Murthy S D S. 2004. Efference ects of salt stress on basic processes of photosynthesis. Photosynthetica, 42(4): 481-486.

Talebi A F, Mohtashami S K, Tabatabae M, Tohidfar M, Bagheri A, Zeinalabedini M, Mirzaei H H, Mirzajanzadeh M, Shafaroudi S M, Bakhtiari S. 2013. Fatty acids profi ling: a selective criterion for screening microalgae strains for biodiesel production. Algal Research, 2(3): 258-267, https://doi.org/10.1016/j.algal.2013.04.003.

Tang D H, Han W, Li P L, Miao X L, Zhong J J. 2011. CO2biofi xation and fatty acid composition of Scenedesmus obliquus and Chl orella pyrenoidosa in response to difference erent CO2levels. Bioresource Technology, 102(3): 3 071-3 076, https://doi.org/10.1016/j.biortech.2010.10. 047.

Tran H L, Kwon J S, Kim Z H, Oh Y, Lee C G. 2010. Statistical optimization of culture media for growth and lipid production of Botryococcus braunii LB572. Biotechnology and Bioprocess Engineering, 15(2): 277-284, https://doi.org/10.1007/s12257-009-0127-7.

Wellburn A R, Lichtenthaler H. 1984. Formulae and program to determine total carotenoids and chlorophylls a and b of leaf extracts in difference erent solvents. In: Sybesma C ed. Advances in Photosynthesis Research. Springer, Dordrecht. p.9-12, https://doi.org/10.1007/978-94-017-6368-4_3.

Yamaguchi S, Motokura K, Tanaka K, Imamura S. 2017. Catalytic processes for utilizing carbohydrates derived from algal biomass. Catalysts, 7(5): 163, https://doi.org/10.3390/catal7050163.

Yang Y Q, Guo Y. 2018. Elucidating the molecular mechanisms mediating plant salt-stress responses. New Phytologist, 217(2): 523-539, https://doi.org/10.1111/nph.14920.