Skip to content

Advertisement

  • Research
  • Open Access

A new lipid-rich microalga Scenedesmussp. strain R-16 isolated using Nile red staining: effects of carbon and nitrogen sources and initial pH on the biomass and lipid production

Biotechnology for Biofuels20136:143

https://doi.org/10.1186/1754-6834-6-143

©  Ren et al.; licensee BioMed Central Ltd. 2013

  • Received: 24 June 2013
  • Accepted: 2 October 2013
  • Published:

Abstract

Background

Biodiesel production from oleaginous microalgae shows great potential as a promising alternative to conventional fossil fuels. Currently, most research focus on algal biomass production with autotrophic cultivation, but this cultivation strategy induces low biomass concentration and it is difficult to be used in large-scale algal biomass production. By contrast, heterotrophic algae allows higher growth rate and can accumulate higher lipid. However, the fast-growing and lipid-rich microalgae that can be cultivated in heterotrophic system for the industrial application of biodiesel production are still few. Traditional solvent extraction and gravimetric determination to detect the microalgal total lipid content is time-consuming and laborious, which has become a major limiting factor for selecting large number of algae specimens. Thus, it is critical to develop a rapid and efficient procedure for the screening of lipid-rich microalgae.

Results

A novel green microalga Scenedesmus sp. strain R-16 with high total lipid content was selected using the Nile red staining from eighty-eight isolates. Various carbon sources (fructose, glucose and acetate) and nitrogen sources (nitrate, urea, peptone and yeast extract) can be utilized for microalgal growth and lipid production, and the optimal carbon and nitrogen sources were glucose (10 g L-1) and nitrate (0.6 g L-1), respectively. Compared to autotrophic situation, the strain R-16 can grow well heterotrophically without light and the accumulated total lipid content and biomass reached 43.4% and 3.46 g L-1, respectively. In addition, nitrogen deficiency led to an accumulation of lipid and the total lipid content was as high as 52.6%, and it was worth noting that strain R-16 exhibited strong tolerance to high glucose (up to 100 g L-1) and a wide range of pH (4.0-11.0).

Conclusions

The newly developed ultrasonic-assisted Nile red method proved to be an efficient isolation procedure and was successfully used in the selection of oleaginous microalgae. The isolated novel green microalgal strain R-16 was rich in lipid and can live in varied and contrasting conditions. The algae appeared to have great potential for application in microalgae-based biodiesel production.

Keywords

  • Biodiesel
  • Heterotrophy
  • Isolation
  • Lipid
  • Microalga
  • Nile red

Background

Conventional fossil fuels, such as petroleum, coal and natural gas, still play a dominant role in the global energy consumption [1]. However, it is well known that these traditional fuels are non-renewable with depleting reserves and increasing cost [2, 3]. The most promising method to meet the growing demand for energy is to explore economically feasible and alternative fuels [4, 5]. Recently, biodiesel exhibits great potential and attracts extensive interest as it is carbon-neutral and environment friendly [6]. Traditional feedstock of biodiesel contains plant oils (canola, corn, soybean, oil palm, coconut, etc.) and animal fats [7]. Nevertheless, such raw materials may compete with food supply, increase the utilization of limited farmland, and require long time to harvest which is hard to satisfy the large and long-term global energy demand [8].

Nowadays, biodiesel production technology from microalgae is widely considered as a potential and efficient method since a number of advantages, such as the simple cellular structure of microalgae, short production cycle, high intracellular lipid content, and fast growth rate [8, 9]. In addition, microalgae can be cultivated on non-arable land which could reduce the demand for farm-land and avoid the competition with food/feed crops [10]. Though many microalgal strains have been isolated and established to be rich in neutral lipid, there are still some unknown species or strains present in various local environments with the potential of applying in the production of biodiesel.

Microalgal biomass production has largely been obtained by autotrophic cultivation in open pond or closed photo-bioreactor under natural or artificial source of light [11, 12]. Nevertheless, the cell density of this culture strategy is low and the light requirement is high, and these bottlenecks make it hard to be applied in large-scale algal biomass production [11]. Compared to photoautotrophy, heterotrophic cultivation allows higher algal growth rate and enables microalgae to accumulate higher biomass and amounts of lipid using less time in the absence of light, which is critical for reducing the microalgal biomass production cost [13]. However, only a few microalgae species adapt to heterotrophic cultivation, and most of them belong to the genus Chlorella[12]. As such, it is important to screen more fast-growing and lipid-rich microalgae that can be cultivated in heterotrophic system for the industrial application of biodiesel production.

On the other hand, current methods to determine the total lipid content for selecting large number of algae specimens are complicated and generally contain extraction, purification, concentration and quantification of lipids [14]. This process is laborious and the lipid components decompose easily [15]. Recently, rapid and efficient screening methods are essential to decide novel and proper algae candidates. Nile red is a lipophilic fluorescent dye and has been used in algal biodiesel production to detect and quantify the lipid content of many microalgal strains [12]. Furthermore, some researchers further modify the Nile red fluorescence technique to improve the lipid staining efficiency and obtain satisfactory outcomes [15, 16]. However, up to now, the information about using the modified Nile red method for screening of lipid-rich microalgal species or strains is still limited.

So, this study developed a novel ultrasonic-assisted staining procedure for algal sample analysis. The isolated microalgal strain was further investigated in heterotrophic cultures for lipid production with high efficiency. Moreover, the main factors (carbon source, nitrogen source and initial pH) were systematically studied and optimized for high biomass and lipid production. In addition, this work also compared the lipid and biomass production ability of the selected strain with those previously reported.

Results and discussion

Algal isolation with improved Nile red method

BG-11 medium supplemented with glucose was frequently used for the cultivation of green algae [17]. Eighty-eight strains of microalgae like microorganisms that can grow on BG-11 agar plate were selected using the above mentioned produces. It was found that all the 88 colonies can grow well on the BG-11 agar plate and exhibited green color, which implied that all the isolated strains belonged to the division of Chlorophyta. In addition to cell growth, total lipid content was another critical indicator to decide whether the screened algal strain was a promising lipid producer with high lipid production ability. Solvent extraction and gravimetric determination was the most commonly used method to ascertain the total lipid content of microalgae [16]. However, this traditional method is time-consuming and requires large amounts of microalgae samples, making it difficult to be applied in the rapid and efficient screening of lipid-rich algal strains [14]. Nile red is a lipid-soluble dye and has been widely employed to determine the cellular lipid content of microalgae in qualitative and in situ quantitative analysis [15]. Nevertheless, most green algae possessed rigid cell wall boundaries which may inhibit the Nile red from dissolving in the cellular lipid [16]. Therefore, a useful and effective ultrasonic-assisted method was applied to stain the lipid compounds in the present work. The fluorescence emissions of 88 algae isolates were obtained using the Nile red method (Figure 1). Seventy-five algae isolates gave weak fluorescence intensity (less than 300 a. u.), and high fluorescence intensities achieved from the other 13 isolates indicated the high lipid content. In particular, the strain R-16 yielded quite strong fluorescence intensity (651 a. u.), suggesting it was a promising alternative feedstock for the production of lipid.
Figure 1
Figure 1

Fluorescence emissions of 88 algal strains obtained with the ultrasonic-assisted Nile red method.

Identification of the microalga

The microalgal strain R-16 was selected by the above described procedure and then successfully scaled up to a pure culture. The photograph of optical microscope and SEM of the strain R-16 were shown in Figure 2a and c, respectively. Microscopic and SEM analysis allowed preliminary identification of the microalga as genus Scenedesmus. The strain R-16 was small green colonial microalgae, and the cells were aligned in a flat plate. Most of colonies were composed of 2–4 cells in oblong or ovate shapes, and sometimes unicellular cell can also exist in cultivation. The algal cells approximately ranged from 4 to 16 μm in length and 3 to 8 μm in width depending on different growth stage. Moreover, the selected microalgae with Nile red staining exhibited bright yellow fluorescence, which indicated high intracellular lipid content of the microalgae (Figure 2b).
Figure 2
Figure 2

Microscopic morphological observation and SEM image of strain R-16. (a), light micrograph; (b), fluorescence micrograph of microalgae stained with Nile red; (c), SEM image (8,000 ×).

To further determine the taxonomic position, molecular phylogenetic analysis was used to confirm the isolated strain. The 18S rRNA gene complete sequence of strain R-16 consisting of 1,419 bases was determined and submitted to the GenBank (Accession No.: KC859922). In the phylogram (Additional file 1: Figure S1), the 18S rDNA sequence of strain R-16 confirmed its identification as Scenedesmus sp.. The 18S rRNA gene complete sequence of strain R-16 exhibited 100% similarity to that of Scenedesmus abundans strain UTEX 343 (Accession No.: X73995.1), and the nucleotides of strain UTEX 343 (1,794 bases) covered all nucleotides of strain R-16 (1,419 bases). However, no identification could be made based on the ITS sequence comparison because the lack of molecular data for the Scenedesmus abundans in Genbank. The ITS sequence of strain R-16 shared 99% sequence similarity with that of Desmodesmus sp. Tow10/11 T-2 W (Accession No.: DQ417553.1), an uncharacterized Desmodesmus specie (Additional file 2: Table S1). Thus, more specific phylogenetic characterization cannot be given, and the microalga was called Scenedesmus sp. strain R-16 and used in the following experiments.

Effects of carbon and nitrogen sources

Three monosaccharides (fructose, maltose, glucose), three organic acids (acetate, propionate, butyrate) and one disaccharide (sucrose) were used to investigate the influence of carbon source on heterotrophic growth and lipid production in dark condition (Figure 3a and Additional file 3: Figure S2a). Results indicated that the strain R-16 can utilize all the monosaccharides and organic acids but their biomass concentrations and total lipid contents showed great differences. Among above carbon sources, glucose was the best substrate with the maximum biomass concentration (3.46 g L-1), specific growth rate (0.819 d-1) and highest total lipid content (43.4%). Acetate and fructose were also acceptable carbon sources which exhibited lower total lipid content (34.4%/31.8%), biomass concentration (1.86 g L-1/1.57 g L-1) and specific growth rate (0.667 d-1/0.626 d-1), respectively. Further, butyrate and maltose resulted in poor total lipid content (24.8%/24.7%), biomass concentration (0.79 g L-1/0.73 g L-1) and specific growth rate (0.458 d-1/0.438 d-1), respectively. Sucrose was not suitable carbon source for strain R-16 since low biomass and total lipid content were acquired. These demonstrated that there was a close relationship between microalgal growth and lipid biosynthesis for heterotrophic strain R-16. Similar law was also observed by some other microalgae species like Chromochloris zofingiensis[18, 19].
Figure 3
Figure 3

Biomass concentration and total lipid content of strain R-16 with various carbon and nitrogen sources. (a), carbon sources: FR, fructose; MA, maltose; GL, glucose; AC, acetate; PR, propionate; BU, butyrate; SU, sucrose. (b), nitrogen sources: BE, beef extract; UR, urea; PE, peptone; AM, ammonium; SN, sodium nitrate; LC, L-cysteine; YE, yeast extract; SG, sodium glutamate.

In addition, strain R-16 can utilize both inorganic and organic nitrogen sources for growth and lipid accumulation (Figure 3b and Additional file 3: Figure S2b). Sodium nitrate led to the highest biomass concentration of 3.47 g L-1 and specific growth rate of 0.821 d-1, followed by that achieved with the medium supplemented with urea (2.98 g L-1/0.781 d-1) and yeast extract (2.38 g L-1/0.727 d-1). The maximum total lipid content of 44.8% occurred when peptone was utilized as the nitrogen source, but the biomass concentration and specific growth rate were only 1.16 g L-1 and 0.552 d-1, respectively. It might be due to that inefficient utilization of peptone could result in the N-starvation of algal cells which induced higher total lipid content of algae [20]. Above results showed that glucose and sodium nitrate were the best carbon and nitrogen source for both growth and lipid production of strain R-16 under the investigated conditions.

Effect of glucose

Strain R-16 was cultured in the medium containing glucose with various concentrations (5, 10, 30, 50, 70 and 100 g L-1). The effects of glucose concentration on algal growth and total lipid content were studied (Figure 4a). When the glucose concentration increased from 5 to 30 g L-1, the biomass sharply increased from 1.58 to 4.12 g L-1, while further increase of glucose to 100 g L-1 led to the decrease of cell concentration. This indicated that excessively high or low glucose in the medium had inhibitory effect on the cell growth. It should be noted that the tolerance boundary for glucose of strain R-16 was higher than those of other algal strains [20]. On the other hand, the total lipid content of 43.4% was obtained with the initial glucose concentration of 10 g L-1, and this value was higher than that of 30 g L-1 glucose. To determine the optimal glucose concentration, the residual glucose in the culture medium was ascertained as a function of time (Figure 4b). In the culture (6 days) with 10 g L-1 glucose, glucose was almost completely utilized and residual glucose was only 0.74 g L-1 at the end of the fermentation. This indicated that glucose utilization efficiency reached 92.6%. However, glucose utilization efficiency was just about 50% when 30 g L-1 glucose was used as the sole carbon source. The conversion ratio of glucose to oil (Y oil/glu ) was an important parameter in the algal biodiesel production [21]. The Y oil/glu of the culture supplemented with 10 g L-1 glucose was 0.162 g g-1 of glucose at the end of incubation, which was much higher than that of 30 g L-1 glucose (0.111 g g-1 of glucose). Considering the above results, although higher biomass concentration appeared at 30 g L-1 glucose, the best value of Y oil/glu was obtained at 10 g L-1 glucose. This means that strain R-16 can convert glucose into lipid with high efficiency. Therefore, 10 g L-1 glucose was the optimal concentration and was employed in the following tests.
Figure 4
Figure 4

Effect of glucose. (a), Effect of glucose concentration on biomass and total lipid content; (b), Time-course profiles of glucose consumption under various initial glucose concentrations.

Effects of sodium nitrate and initial pH

Five different NaNO3 concentrations (0.2, 0.4, 0.6, 0.8 and 1.0 g L-1) were designed to investigate the effect of NaNO3 concentration on cell growth and lipid accumulation of stain R-16 (Figure 5a). The algal biomass enhanced significantly when NaNO3 concentration increased from 0.2 to 0.6 g L-1, while further increase of NaNO3 (0.6-1.0 g L-1) had little influence on algal growth. This suggested that 0.6 g L-1 NaNO3 could satisfy the growth requirement of strain R-16. Most importantly, the total lipid content and concentration exhibited significant difference under varied NaNO3 concentration. The total lipid content evidently decreased from 52.6% to 13.7% when the NaNO3 concentration increased from 0.2 to 1.0 g L-1. The result was reasonable because shortage of nitrogen could inhibit the synthesis of protein which was good for the accumulation of lipid in algal cells, whereas the algae did not produce large lipid at high concentration of NaNO3[22, 23]. Nevertheless, the total biomass and lipid productivity at 0.2 g L-1 NaNO3 were much lower than those of 0.6 g L-1 NaNO3, and thus the optimum NaNO3 concentration should be 0.6 g L-1 by simultaneously considering both the biomass and total lipid content.
Figure 5
Figure 5

Effects of NaNO 3 and initial pH. (a), Effect of NaNO3 concentration on biomass and total lipid content. (b), Effect of initial pH on biomass and total lipid content.

The pH was another important factor which had great effect on the properties of microbial surface and flocculation, and such influence can change biochemical metabolism and the form of enzyme system [24]. In the present research the initial pH varied from 3.0 to 12.0 (Figure 5b). This experiment found an interesting phenomenon, that is, the strain R-16 had strong pH tolerance and can grow well in a wide range of pH (4.0-11.0). Furthermore, the total lipid content of algal cells was similar from pH 6.0 to pH 11.0, while the total lipid content decreased at pH 4.0. At two extreme pH (3.0 and 12.0), the algal cells showed poor growth and lipid productivity. These results indicated that the algal growth and lipid accumulation were slightly affected by the pH of the medium (pH 6.0-11.0), which showed the potential of using strain R-16 for the treatment of wastewater or waste biomass into lipid in a wide pH range. In addition, similar phenomenon was also observed by a few researchers with various algal strains (Chlorella sorokiniana and Asterarcys quadricellulare) in autotrophic situation [20, 25]. However, in this study the strain R-16 can grow well in heterotrophic culture condition and also exhibited amazing pH tolerance, which might be caused by self-metabolism regulation or special structure of the microalgae. Nevertheless, up to now, the mechanism of this process has not yet been given, and the detailed explanation needed to be further investigated in the future work.

Growth and lipid production under various culture modes

Besides heterotrophic cultivation, strain R-16 can grow in autotrophic conditions as well (Figure 6). The biomass of autotrophic microalgae reached 0.41 g L-1 in 6 days growth, whereas the biomass of heterotrophic microalgae increased to 3.46 g L-1 in the same experimental period. By fitting the measured data of biomass concentration to time (Figure 6a), the X max of heterotrophic culture obtained from Logistic model was 3.48 g L-1, which was similar to the experimental data of 3.46 g L-1. This value was much higher than that of autotrophic algae (0.41 g L-1). In addition, correlation coefficient (R 2 ) for the model fit was 0.999, indicating distinguished agreement of Logistic model to experimental results. The results showed that heterotrophic culture of strain R-16 exhibited higher growth rate and biomass concentration in comparison with its autotrophic culture. On the other side, the cumulative rate of lipid of strain R-16 under heterotrophic culture was faster than that under autotrophic culture (Figure 6b). The maximum total lipid concentration of strain R-16 was 1.50 g L-1 in heterotrophic culture, but the total lipid concentration in autotrophic culture was only 0.07 g L-1 on the sixth day. Heterotrophic algal cells were rich in lipid compounds, whereas autotrophic strain R-16 accumulated little lipid in the whole cultivation period. In a study, similar result was also found in the cultivation of Chlorella cells [12]. Moreover, the heterotrophic algae grew in lag phase (about 1 day) to adapt themselves to the environmental conditions, and entered the exponential growth phase and grew exponentially until the fourth day. And then, algal growth became slow and turned into stationary phase (5–6 days). It can be found the variation of lipid concentration correlated with the cell growth in the exponential phase, which indicated that the increase of biomass concentration resulted in the increase of total lipid concentration. By contrast, during stationary phase the algal growth was slow and most of lipid came from the accumulation of microalgae. Above results showed that heterotrophic culture of strain R-16 was better than autotrophic culture in terms of cell growth and lipid production.
Figure 6
Figure 6

Growth curves and profiles of lipid accumulation. (a), Growth curves of strain R-16 under autotrophic and heterotrophic conditions; (b), Lipid accumulation of strain R-16 under autotrophic and heterotrophic conditions.

Comparison of lipid production capability with relevant studies

The biomass and lipid production ability of different microalgal strains using glucose as carbon source were summarized (Table 1). It was shown that the biomass of 3.46 g L-1, total lipid content of 43.4% and lipid productivity of 250.27 mg L-1 d-1 attained in the present work were comparable or even higher than those reported in literature. Furthermore, it was worth noting that the Y oil/glu of this research (0.162 g g-1) was higher than the previous reports of Chlorella sorokiniana (0.057 g g-1) and Scenedesmus quadricauda (0.15 g g-1) (Table 1). This indicated that the strain R-16 can efficiently convert the substrate to cellular lipid. Moreover, it was proposed that the growth rate and lipid productivity in mixotrophic culture conditions were higher in comparison with those in autotrophic and heterotrophic conditions [13]. Compared to heterotrophic culture, Chlorella protothecoides in mixotrophic culture can produce 69% higher lipid with 61.5% less release of CO2[21]. Additionally, Cheirsilp and Torpee [13] found that freshwater Chlorella sp., marine Chlorella sp., Nannochloropsis sp. and Cheatoceros sp. can accumulate high lipid content in photoautotrophic, heterotrophic and mixotrophic cultures. The highest biomass and lipid production were all obtained in mixotrophic culture for the four algal strains. Moreover, the lipid content of Scenedesmus quadricauda was 33.1% in mixotrophic culture, whereas the lipid content decreased to 14-28% in photoautotrophic and heterotrophic cultures [28]. In this work, the total lipid content of strain R-16 reached 43.4% in heterotrophic culture, indicating that the biomass and lipid production capacity of strain R-16 could be further improved by using the mixotrophic culture.
Table 1

Comparison of biomass and lipid production with glucose as carbon source

Microalgae

Glucose concentration (g L-1)

Biomass concentration (g L-1)

Total lipid content (%DW)

Lipid productivity (mg L-1d-1)

Y oil/glu

Reference

Chlorella sorokiniana Shih.et Krauss MIC-G5

1

0.72a

33

29.8

NA

[26]

Chlorella sp.

10

3.76

15.6

58.8

NA

[13]

Chlorella vulgaris C4-3

10

0.8

15.78

21a

NA

[27]

Chlorella saccharophila UTEX 247

40

1.1

37

58.5a

NA

[12]

Chlorella sorokiniana CCTCCM209220

40

3.2

56

256

0.057a

[20]

Ettlia texensis

3

1.2a

14-19

NA

NA

[11]

Nannochloropsis sp.

10

3.83

19.3

74

NA

[13]

Monoraphidium sp. FXY-10

10

3.96

37.56

148.74

NA

[8]

Scenedesmus quadricauda

5

3.39

22.1a

107.1a

0.15a

[28]

R-16

10

3.46

43.4

250.27

0.162

This study

aCalculated value according to reported data.

In addition, a critical challenge of heterotrophic microalgae derived from the high cost of culture medium, especially the carbon sources [28]. Most researchers reduced the cost of algal cultivation by using some cheap and easily available feedstock (such as starch, wastewater and cellulose-hydrolyzed solution) and gained promising results [29, 30]. It was found that some microalgae like strain R-16 can utilize the volatile fatty acids (VFAs) as the substrate for growth and lipid accumulation [8]. In the production of other bio-energy (such as bio-hydrogen, bio-methane, bio-ethanol, bio-butanol and bio-electricity), there are many VFAs left in the effluent [31–33]. Take bio-hydrogen production for example, the degradation of large molecular substrates by dark-fermentative bacteria can generate many VFAs, which mainly contain acetic acid, propionic acid and butyric acid [34]. However, VFAs in effluent may decrease the pH of reaction system and induce inhibition effect to the microorganisms or pollution to the environment. Photo-fermentative bacteria can utilize the VFAs from dark-fermentation as electron donors and produce hydrogen in the presence of light [35]. Currently, most studies focused on the combination of dark- and photo-fermentation to alleviate the end-product inhibition and improve the substrate conversion efficiency [34–36]. Though the combined system can markedly increase the theoretical hydrogen yield to 12 mol mol-1 glucose-1, the experimental energy conversion efficiency of the combined system is still not high enough for the practical reality of biological hydrogen production [37]. Furthermore, it should be noted that the photo-fermentative bacteria need additional light with low photosynthetic efficiency (less than 10%), which could greatly increase the operating cost [38]. By contrast, above mentioned VFAs in effluent can be further utilized by microalgae without light for lipid production and energy recovery, whereas so far related research on this field was lacking. So, it was a promising strategy to combine the microalgal lipid production with one or more other bio-energy production methods to reduce the cost of algal cultivation and increase the energy recovery of the whole process.

Conclusions

The newly developed ultrasonic-assisted Nile red method was applied in the screening of lipid-rich microalgae and proved to be an efficient isolation procedure. Based on this method, a novel green microalgal strain, Scenedesmus sp. R-16, was isolated and characterized from 88 microalgae isolates. Strain R-16 can be acclimatized to high glucose (up to 100 g L-1) and a wide range of pH (4.0-11.0). Many carbon and nitrogen sources can be used by strain R-16 for growth and lipid production. By using the optimum carbon source (10 g L-1 of glucose) and nitrogen source (0.6 g L-1 of sodium nitrate), strain R-16 exhibited high biomass of 3.46 g L-1and total lipid content of 43.4% under heterotrophic condition. When nitrogen was scarce, total lipid content could reach a maximum value of 52.6%. Compared with other reported oleaginous algal strains, Scenedesmus sp. R-16 showed great potential in the lipid production for renewable biodiesel production.

Methods

Isolation and purification of the microalga

Samples of soil were collected from Harbin, Heilongjiang province, China, and then were inoculated in autoclaved BG11 medium at 25 ± 1°C under cool white fluorescent light until algal growth was detected [39]. The pre-cultured samples were diluted and streaked on BG11 medium-enriched agar plates. Individual colonies were picked up and cultured in liquid BG11 medium that contained glucose using the same culture conditions described above. The streaking and inoculation procedures were repeated about 3–4 times until pure cultures were attained.

Molecular identification

Genomic DNA was extracted with a SK1375 kit according to the manufacturer’s instructions [40]. The 18S rDNA and ITS regions were amplified using the primers described in Additional file 4: Table S2 [41, 42]. The 25 μl PCR reaction system contained approximately 1 μl of template DNA, 0.5 μl (10 μmol L-1) of forward primer, 0.5 μl (10 μmol L-1) of reverse primer, 0.5 μl dNTP mixer (10 mmol L-1 each), 1.0 U of Ex Taq DNA polymerase and 2.5 μl 10 × Ex Taq PCR buffer. Amplification conditions were performed as follows: 5 min at 94°C, followed by 35 cycles of denaturation at 94°C for 30 s, 35 s annealing at 55°C, and 1 min extension step at 72°C with a final extension of 8 min at 72°C. The PCR products were separated by electrophoresis on 1.0% agarose gel. Afterwards, bands were extracted from gel and purified using a PCR purification kit (SK1131 kit). The purified PCR products were ligated into the pUCm-T followed by transforming into Escherichia coli competent cells (SK2301 kit). Recombinant plasmid was extracted from transformed E. coli with a SK1191 kit following the guidelines of the manufacturer [43]. All kits were provided by Sangon Biotech (Shanghai) Co., Ltd., (Shanghai, China). Sequence alignment and analysis of the similarity of the18S rRNA and ITS gene were performed with BLAST in GenBank database.

Culture conditions

In the autotrophic culture, algal cells in the stationary phase were inoculated into 250 ml Erlenmeyer flasks containing 150 ml BG11 medium, which had been adjusted to near neutral pH and autoclaved at 121°C for 15 min. The microalgae were cultured at 25 ± 1°C using incubator shaker at 130 rpm with serial florescence light of around 5000 lux. For heterotrophic culture, seven carbon sources (fructose, maltose, glucose, acetate, propionate, butyrate, sucrose) were separately supplemented to the liquid culture medium. The initial concentrations of all carbon sources were calculated as the same carbon atom number of 10 g L-1 glucose. Beef extract, urea, peptone, ammonium chloride, sodium nitrate, L-cysteine, yeast extract and sodium glutamate were chosen as the nitrogen sources with the initial concentrations computed as the same nitrogen atom number of 0.6 g L-1 sodium nitrate. The glucose concentration, sodium nitrate concentration and initial pH were in the range of 5–100 g L-1, 0.2-1.0 g L-1 and 3.0-12.0, respectively. Each culture was cultured using the same conditions described in the autotrophic culture without light exposure. The initial algal concentration of both autotrophic and heterotrophic trials was approximately 0.1 g L-1. After reaching the stationary phase (defined by no further increase in cell concentration), the cultures were harvested and analyzed for biomass and lipid production. All experiments were conducted in triplicate, and results were expressed as means of the replicates along with standard deviation (± SD).

Nile red staining

Eighty-eight algal strains that had high biomass were chosen for the determination of lipid content. Based on preliminary procedure for improved Nile red staining (data not published), the selected cells (5 ml) were centrifuged at 8,000 g for 10 min and washed with distilled water several times. Then the collected cells were re-suspended in a 10 ml tubes and pretreated with an ultrasonic processor (Sonics VCX130PB, USA). Furthermore, 15 μl of Nile red solution (0.5 mg ml-1 in acetone) was added to 5 ml of algal suspensions and gently vortexed for 1 min. After 15 min of incubation in darkness, the fluorescence of the suspension was measured with a fluorescence spectrophotometer (JASCO FP-6500, Japan). According to preliminary experiments, the excitation and emission wavelengths for the fluorescence determination were selected as 530 and 568 nm, respectively. Unstained cells and Nile red alone were used as the autofluorescence control. The relative fluorescence intensity of Nile red was attained after subtraction of both the autofluorescence of microalgae and the self-fluorescence of Nile red.

Algal growth kinetics

Most growth processes of microorganisms can be described by Monod, Baranyi and Logistic equations [30, 44]. Among them, Logistic equation was widely applied to interpret the relationship between the algal growth and biomass density in nutrition-limited conditions [45]. Thus, Logistic model Eq. (1) was chosen for algal growth.
dX dt = kc 1 - X X max X
(1)

where dX/dt was the microalgal growth rate; k c was the maximum specific growth rate of the microalgae, X was the biomass concentration of microalgae, X max was the maximum cell concentration.

At the beginning of the experiments (t = 0), the initial algal concentration was X = X 0 and after integration the expression of Logistic equation became Eq. (2):
X = X 0 X max e Kct X max - X 0 + X 0 e Kct
(2)

Analytical methods

The cell morphology of the isolated strain was observed using microscope and scanning electron microscopy (SEM). Light and fluorescence micrographs were obtained with a microfluorometer (BX51-TF, Olympus Optical Co., Ltd., Japan). Before analyzing with SEM, the surface of algal cells was coated with a gold layer by employing Sputter Coater (Hitachi E-1010, Japan). Further, the treated specimens were explored by a scanning electron microscope (Hitachi S-3400 N, Japan) as the methods described previously [46]. The biomass in dry weight (DW) and total lipid content were determined as the produces described previously [20, 47, 48]. The residual glucose in the culture broth was measured with oxidase method [35]. The pH value was monitored by a pHS-3C pH meter (Shanghai Leici Instrument Factory, China). The light intensity was measured on the surface of flasks with a digital luxmeter (TES-1332A, TES Electrical Electronic Co., China). The specific growth rate (μ, d-1) of microalgae was calculated according to the Eq. (3):
μ = In N 2 - In N 1 t 2 - t 1
(3)

where N 2 and N 1 represented the DW values at the time t 2 and t 1 , respectively.

Abbreviations

SEM: 

Scanning electron microscopy

18S rRNA: 

18S ribosomal ribonucleic acid

18S rDNA: 

18S ribosomal deoxyribonucleic acid

ITS: 

Internal transcribed spacer

N: 

Nitrogen

Yoil/glu: 

Conversion ratio of glucose to oil

NaNO3: 

Sodium nitrate

CO2: 

Carbon dioxide

VFAs: 

Volatile fatty acids

DNA: 

Deoxyribonucleic acid

PCR: 

Polymerase chain reaction

BLAST: 

Basic local alignment search tool

SD: 

Standard deviation

DW: 

Dry weight

NA: 

Not available.

Declarations

Acknowledgements

This study is supported by the national Natural Science Foundation of China (No. 51106040), project 51121062 (National Creative Research Groups), and Academician Workstation Construction in Guangdong Province (No. 2012B090500018).

Authors’ Affiliations

(1)
State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, China

References

  1. Liu J, Chen L, Wang J, Qiao J, Zhang W: Proteomic analysis reveals resistance mechanism against biofuel hexane in Synechocystis sp. PCC 6803. Biotechnol Biofuels. 2012, 5: 68-10.1186/1754-6834-5-68.View ArticleGoogle Scholar
  2. Cai J, Wang G: Screening and hydrogen-producing characters of a highly efficient H2-producing mutant of Rhodovulum sulfidophilum P5. Bioresour Technol. 2013, 142: 18-25.View ArticleGoogle Scholar
  3. Lei A, Chen H, Shen G, Hu Z, Chen L, Wang J: Expression of fatty acid synthesis genes and fatty acid accumulation in haematococcus pluvialis under different stressors. Biotechnol Biofuels. 2012, 5: 18-10.1186/1754-6834-5-18.View ArticleGoogle Scholar
  4. Xie GJ, Liu BF, Xing DF, Nan J, Ding J, Ren NQ: Photo-fermentative bacteria aggregation triggered by L-cysteine during hydrogen production. Biotechnol Biofuels. 2013, 6: 64-10.1186/1754-6834-6-64.View ArticleGoogle Scholar
  5. Ren HY, Liu BF, Ding J, Nan J, Xie GJ, Zhao L, Chen MG, Ren NQ: Enhanced photo-hydrogen production of Rhodopseudomonas faecalis RLD-53 by EDTA addition. Int J Hydrogen Energy. 2012, 37: 8277-8281. 10.1016/j.ijhydene.2012.02.071.View ArticleGoogle Scholar
  6. Yang F, Hanna M, Sun R: Value-added uses for crude glycerol–a byproduct of biodiesel production. Biotechnol Biofuels. 2012, 5: 13-10.1186/1754-6834-5-13.View ArticleGoogle Scholar
  7. Zaimes G, Khanna V: Microalgal biomass production pathways: evaluation of life cycle environmental impacts. Biotechnol Biofuels. 2013, 6: 88-10.1186/1754-6834-6-88.View ArticleGoogle Scholar
  8. Yu X, Zhao P, He C, Li J, Tang X, Zhou J, Huang Z: Isolation of a novel strain of Monoraphidium sp. and characterization of its potential application as biodiesel feedstock. Bioresour Technol. 2012, 121: 256-262.View ArticleGoogle Scholar
  9. Pereira H, Barreira L, Mozes A, Florindo C, Polo C, Duarte C, Custodio L, Varela J: Microplate-based high throughput screening procedure for the isolation of lipid-rich marine microalgae. Biotechnol Biofuels. 2011, 4: 61-10.1186/1754-6834-4-61.View ArticleGoogle Scholar
  10. Chaichalerm S, Pokethitiyook P, Yuan W, Meetam M, Sritong K, Pugkaew W, Kungvansaichol K, Kruatrachue M, Damrongphol P: Culture of microalgal strains isolated from natural habitats in Thailand in various enriched media. Appl Energy. 2012, 89: 296-302. 10.1016/j.apenergy.2011.07.028.View ArticleGoogle Scholar
  11. Isleten-Hosoglu M, Ayyıldız-Tamis D, Zengin G, Elibol M: Enhanced growth and lipid accumulation by a new Ettlia texensis isolate under optimized photoheterotrophic condition. Bioresour Technol. 2013, 131: 258-265.View ArticleGoogle Scholar
  12. Isleten-Hosoglu M, Gultepe I, Elibol M: Optimization of carbon and nitrogen sources for biomass and lipid production by Chlorella saccharophila under heterotrophic conditions and development of Nile red fluorescence based method for quantification of its neutral lipid content. Biochem Eng J. 2012, 61: 11-19.View ArticleGoogle Scholar
  13. Cheirsilp B, Torpee S: Enhanced growth and lipid production of microalgae under mixotrophic culture condition: effect of light intensity, glucose concentration and fed-batch cultivation. Bioresour Technol. 2012, 110: 510-516.View ArticleGoogle Scholar
  14. Sitepu IR, Ignatia L, Franz AK, Wong DM, Faulina SA, Tsui M, Kanti A, Boundy-Mills K: An improved high-throughput Nile red fluorescence assay for estimating intracellular lipids in a variety of yeast species. J Microbiol Methods. 2012, 91: 321-328. 10.1016/j.mimet.2012.09.001.View ArticleGoogle Scholar
  15. Doan TT, Obbard J: Improved Nile Red staining of Nannochloropsis sp. J Appl Phycol. 2011, 23: 895-901. 10.1007/s10811-010-9608-5.View ArticleGoogle Scholar
  16. Chen W, Sommerfeld M, Hu Q: Microwave-assisted Nile red method for in vivo quantification of neutral lipids in microalgae. Bioresour Technol. 2011, 102: 135-141. 10.1016/j.biortech.2010.06.076.View ArticleGoogle Scholar
  17. Zhou W, Li Y, Min M, Hu B, Chen P, Ruan R: Local bioprospecting for high-lipid producing microalgal strains to be grown on concentrated municipal wastewater for biofuel production. Bioresour Technol. 2011, 102: 6909-6919. 10.1016/j.biortech.2011.04.038.View ArticleGoogle Scholar
  18. Liu J, Huang J, Fan KW, Jiang Y, Zhong Y, Sun Z, Chen F: Production potential of Chlorella zofingienesis as a feedstock for biodiesel. Bioresour Technol. 2010, 101: 8658-8663. 10.1016/j.biortech.2010.05.082.View ArticleGoogle Scholar
  19. Sun N, Wang Y, Li YT, Huang JC, Chen F: Sugar-based growth, astaxanthin accumulation and carotenogenic transcription of heterotrophic Chlorella zofingiensis (Chlorophyta). Process Biochem. 2008, 43: 1288-1292. 10.1016/j.procbio.2008.07.014.View ArticleGoogle Scholar
  20. Wan MX, Wang RM, Xia JL, Rosenberg JN, Nie ZY, Kobayashi N, Oyler GA, Betenbaugh MJ: Physiological evaluation of a new Chlorella sorokiniana isolate for its biomass production and lipid accumulation in photoautotrophic and heterotrophic cultures. Biotechnol Bioeng. 2012, 109: 1958-1964. 10.1002/bit.24477.View ArticleGoogle Scholar
  21. Xiong W, Gao C, Yan D, Wu C, Wu Q: Double CO2 fixation in photosynthesis-fermentation model enhances algal lipid synthesis for biodiesel production. Bioresour Technol. 2010, 101: 2287-2293. 10.1016/j.biortech.2009.11.041.View ArticleGoogle Scholar
  22. Ruangsomboon S: Effect of light, nutrient, cultivation time and salinity on lipid production of newly isolated strain of the green microalga, Botryococcus braunii KMITL 2. Bioresour Technol. 2012, 109: 261-265.View ArticleGoogle Scholar
  23. Li Y, Horsman M, Wang B, Wu N, Lan C: Effects of nitrogen sources on cell growth and lipid accumulation of green alga Neochloris oleoabundans. Appl Microbiol Biotechnol. 2008, 81: 629-636. 10.1007/s00253-008-1681-1.View ArticleGoogle Scholar
  24. Wong MT, Zhang D, Li J, Hui RKH, Tun HM, Brar MS, Park TJ, Chen Y, Leung F: Towards a metagenomic understanding on enhanced biomethane production from waste activated sludge after pH 10 pretreatment. Biotechnol Biofuels. 2013, 6: 38-10.1186/1754-6834-6-38.View ArticleGoogle Scholar
  25. Hong JW, Kim SA, Chang J, Yi J, Jeong J, Kim S, Kim SH, Yoon HS: Isolation and description of a Korean microalga, Asterarcys quadricellulare KNUA020, and analysis of its biotechnological potential. Algae. 2012, 27: 197-203. 10.4490/algae.2012.27.3.197.View ArticleGoogle Scholar
  26. Ngangkham M, Ratha S, Prasanna R, Saxena A, Dhar D, Sarika C, Prasad R: Biochemical modulation of growth, lipid quality and productivity in mixotrophic cultures of Chlorella sorokiniana. SpringerPlus. 2012, 1: 1-13. 10.1186/2193-1801-1-1.View ArticleGoogle Scholar
  27. Kim DG, Hur SB: Growth and fatty acid composition of three heterotrophic Chlorella species. Algae. 2013, 28: 101-109. 10.4490/algae.2013.28.1.101.View ArticleGoogle Scholar
  28. Zhao G, Yu J, Jiang F, Zhang X, Tan T: The effect of different trophic modes on lipid accumulation of Scenedesmus quadricauda. Bioresour Technol. 2012, 114: 466-471.View ArticleGoogle Scholar
  29. Zhang X, Yan S, Tyagi RD, Surampalli RY: Energy balance and greenhouse gas emissions of biodiesel production from oil derived from wastewater and wastewater sludge. Renew Energy. 2013, 55: 392-403.View ArticleGoogle Scholar
  30. Yang J, Li X, Hu H, Zhang X, Yu Y, Chen Y: Growth and lipid accumulation properties of a freshwater microalga, Chlorella ellipsoidea YJ1, in domestic secondary effluents. Appl Energy. 2011, 88: 3295-3299. 10.1016/j.apenergy.2010.11.029.View ArticleGoogle Scholar
  31. Clarke D, Jablonski S, Moran B, Anandarajah G, Taylor G: How can accelerated development of bioenergy contribute to the future UK energy mix? Insights from a MARKAL modelling exercise. Biotechnol Biofuels. 2009, 2: 13-10.1186/1754-6834-2-13.View ArticleGoogle Scholar
  32. Ren HY, Liu BF, Ding J, Xie GJ, Zhao L, Xing DF, Guo WQ, Ren NQ: Continuous photo-hydrogen production in anaerobic fluidized bed photo-reactor with activated carbon fiber as carrier. RSC Adv. 2012, 2: 5531-5535. 10.1039/c2ra20420g.View ArticleGoogle Scholar
  33. Dong H, Yu H, Yu H, Gao N, Wang X: Enhanced performance of activated carbon-polytetrafluoroethylene air-cathode by avoidance of sintering on catalyst layer in microbial fuel cells. J Power Sources. 2013, 232: 132-138.View ArticleGoogle Scholar
  34. Liu BF, Ren NQ, Tang J, Ding J, Liu WZ, Xu JF, Cao GL, Guo WQ, Xie GJ: Bio-hydrogen production by mixed culture of photo- and dark-fermentation bacteria. Int J Hydrogen Energy. 2010, 35: 2858-2862. 10.1016/j.ijhydene.2009.05.005.View ArticleGoogle Scholar
  35. Liu BF, Ren NQ, Xie GJ, Ding J, Guo WQ, Xing DF: Enhanced bio-hydrogen production by the combination of dark- and photo-fermentation in batch culture. Bioresour Technol. 2010, 101: 5325-5329. 10.1016/j.biortech.2010.02.024.View ArticleGoogle Scholar
  36. Liu BF, Ren NQ, Xing DF, Ding J, Zheng GX, Guo WQ, Xu JF, Xie GJ: Hydrogen production by immobilized R. faecalis RLD-53 using soluble metabolites from ethanol fermentation bacteria E. harbinense B49. Bioresour Technol. 2009, 100: 2719-2723. 10.1016/j.biortech.2008.12.020.View ArticleGoogle Scholar
  37. Hay JXW, Wu TY, Juan JC, Jahim MJ: Biohydrogen production through photo fermentation or dark fermentation using waste as a substrate: overview, economics, and future prospects of hydrogen usage. Biofuels. Bioprod Bioref. 2013, 7: 334-352. 10.1002/bbb.1403.View ArticleGoogle Scholar
  38. Akkerman I, Janssen M, Rocha J, Wijffels RH: Photobiological hydrogen production: photochemical efficiency and bioreactor design. Int J Hydrogen Energy. 2002, 27: 1195-1208. 10.1016/S0360-3199(02)00071-X.View ArticleGoogle Scholar
  39. Wang W, Liu X, Lu X: Engineering cyanobacteria to improve photosynthetic production of alka(e)nes. Biotechnol Biofuels. 2013, 6: 1-9. 10.1186/1754-6834-6-1.View ArticleGoogle Scholar
  40. Feng L, Zhou R, Zhao C, Chen G, Li Y, Li N: Identification of microorganism producing humic acids with sugarcane molasses alcohol waste water and optimum the fermentation conditions. China Biotechnol. 2012, 32: 80-85.Google Scholar
  41. Gao Z, Mori T, Kondo R: The pretreatment of corn stover with Gloeophyllum trabeum KU-41 for enzymatic hydrolysis. Biotechnol Biofuels. 2012, 5: 28-10.1186/1754-6834-5-28.View ArticleGoogle Scholar
  42. Wang J, Yang L, Qiu X, Liu Y, Zhou W, Wan YJ: Diversity analysis of Beauveria bassiana isolated from infected silkworm in southwest China based on molecular data and morphological features of colony. World J Microbiol Biotechnol. 2013, 29: 1263-1269. 10.1007/s11274-013-1289-1.View ArticleGoogle Scholar
  43. Yang X, Liu P, Hao Z, Shi J, Zhang S: Characterization and identification of freshwater microalgal strains toward biofuel production. BioResources. 2011, 7: 686-695.Google Scholar
  44. Yang J, Rasa E, Tantayotai P, Scow KM, Yuan H, Hristova KR: Mathematical model of Chlorella minutissima UTEX2341 growth and lipid production under photoheterotrophic fermentation conditions. Bioresour Technol. 2011, 102: 3077-3082. 10.1016/j.biortech.2010.10.049.View ArticleGoogle Scholar
  45. Zhang Y, Su H, Zhong Y, Zhang C, Shen Z, Sang W, Yan G, Zhou X: The effect of bacterial contamination on the heterotrophic cultivation of Chlorella pyrenoidosa in wastewater from the production of soybean products. Water Res. 2012, 46: 5509-5516. 10.1016/j.watres.2012.07.025.View ArticleGoogle Scholar
  46. Ren HY, Liu BF, Xie GJ, Zhao L, Ren NQ: Carrier modification and its application in continuous photo-hydrogen production using anaerobic fluidized bed photo-reactor. GCB Bioenergy. 2013, doi:10.1111/gcbb.12073Google Scholar
  47. Fuentes-Grünewald C, Garcés E, Alacid E, Rossi S, Camp J: Biomass and lipid production of dinoflagellates and raphidophytes in indoor and outdoor photobioreactors. Mar Biotechnol. 2013, 15: 37-47. 10.1007/s10126-012-9450-7.View ArticleGoogle Scholar
  48. Rismani-Yazdi H, Haznedaroglu B, Hsin C, Peccia J: Transcriptomic analysis of the oleaginous microalga Neochloris oleoabundans reveals metabolic insights into triacylglyceride accumulation. Biotechnol Biofuels. 2012, 5: 74-10.1186/1754-6834-5-74.View ArticleGoogle Scholar

Copyright

© Ren et al.; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Advertisement

Biotechnology for Biofuels

ISSN: 1754-6834

Contact us