Abstract
Lipid production in microalgae is highly dependent on the applied light intensity. However, for the EPA producing model-diatom Phaeodactylum tricornutum, clear consensus on the impact of incident light intensity on lipid productivity is still lacking. This study quantifies the impact of different incident light intensities on the biomass, TAG and EPA yield on light in nitrogen starved batch cultures of P. tricornutum. The maximum biomass concentration and maximum TAG and EPA contents were found to be independent of the applied light intensity. The lipid yield on light was reduced at elevated light intensities (>100 μmol m-2 s-1). The highest TAG yield on light (112 mg TAG molph-1) was found at the lowest light intensity tested (60 μmol m-2 s-1), which is still relatively low to values reported in literature for other algae. Furthermore, mass balance analysis showed that the EPA fraction in TAG may originate from photosynthetic membrane lipids.
Introduction
Lipid production by phototrophic microalgae is only economically feasible today for high-value products, such as pigments and ω-3-fatty acids [1]. One of the major hurdles for commercial bulk microalgal lipid production is the low lipid yield on light [1–3].
Typically, microalgal lipid production is induced by nitrogen deficiency. When exposed to nitrogen deficient conditions, some microalgal species can accumulate triacylglycerol (TAG) up to 30–60% of dry weight [4–6]. However, nitrogen deficiency is often accompanied with impaired or even fully inactivated photosynthesis [4,7] and therefore results in a reduced TAG yield on light. For commercial production of TAGs, the TAG yield on light should be increased.
One of the most advertised microalgae for commercial lipid production is Phaeodactylum tricornutum. P. tricornutum is a salt-water diatom that is already cultivated at large scale for aquaculture. This microalgae produces large amounts of eicosapentaenoic acid (EPA; a long chain polyunsaturated fatty acid) and can produce TAG up to 30% of dry weight [4]. It is generally acknowledged, however, that high light exposure can severely affect the biomass and lipid productivity of this diatom [8–12]. However, clear consensus regarding the impact of light intensity on TAG and EPA productivity in P. tricornutum is still lacking. The aim of this work is to obtain insight in the relation between incident light intensity and the accumulation of TAG and EPA under nitrogen starvation.
Material and methods
Strain, medium and precultivation
Phaeodactylum tricornutum SAG1090-1b was obtained from the Culture Collection of Algae Goettingen University, Germany. Cultures were maintained in 250 mL shake flasks containing 100 mL filter sterilized (pore size 0.2 μm) medium. The medium was designed to reach a biomass concentration of 2.5 g L-1 and consisted out of 252 mM NaCl, 16.8 mM KNO3, 3.5 mM Na2SO4, 5 mM MgSO4 7H2O, 2.4 mM CaCl2 2H2O, 2.5 mM K2HPO4, 10 mM NaHCO3, 28 μM NaFeEDTA, 80 μM Na2EDTA 2H2O, 19 μM MnCl2 4H2O, 4 μM ZnSO4 7H2O, 1.2 μM CoCl2 6H2O, 1.3 μM CuSO4 5H2O, 0.1 μM Na2MoO4 2H2O, 0.1 μM Biotin, 3.7 μM vitamin B1 and 0.1 μM vitamin B12. The medium contained 100 mM, 2-[4-(2-hydroxyethyl)piperazin-1-yl]ethanesulfonic acid (HEPES) as a pH buffer. Prior to cultivation, the pH was adjusted with KOH to pH 7.2.
Cultures were maintained in a cultivation chamber at 25°C, orbitally shaken at 120 rpm, illuminated at an incident light intensity of 40–60 μmol m-2 s-1 and a 16:8h light:dark (LD) cycle under enriched air (2% CO2). Three days prior to the start of the experiment, cultures were transferred to an orbital shaker incubator with an incident light intensity of 160 μmol m-2 s-1, 16:8h LD cycles and 2.5% CO2 enriched air.
Photo bioreactor setup and operation
Experiments were performed in aseptic, flat-panel, airlift-loop reactors (Algaemist, Technical Development Studio, Wageningen University, the Netherlands). The reactor has a working volume of 400 mL, a light path of 14 mm and an illuminated area of 0.028 m2 (Schematic illustration of the reactor design is given in Breuer et al. [9]). Illumination was provided using 6 LED lamps with a warm white light spectrum, (BXRA W1200, Bridgelux, USA, emission spectrum given in the S1 Fig) under a 16:8h LD cycle. The incident photon flux density (PFDin) was measured with a LI-COR 190-SA 2π PAR (400–700 nm) quantum sensor (PAR, USA) and determined as the average over 28 points evenly distributed over the illuminated surface of the inside of the front glass panel of the reactor. The culture was continuously supplied with sterile moisturized air at 0.4 L min-1. pH was maintained at 7.2 by on-demand sparging of CO2 to the airflow and temperature was kept constant at 20°C. Reactor medium was similar to the preculture medium, with modifications to the amount of KNO3 (5 mM instead of 16.8 mM) and exclusion of HEPES. 5 mM of KNO3 is sufficient to reach a biomass concentration of 1.2 g L-1 (assuming a cellular nitrogen fraction of 10% per dry weight, measurements not shown). Per day, a maximum of 2 drops of 1% (v/v) antifoam (Antifoam B, J.T. Baker) were added manually to the reactor when foaming was visible.
Reactors were heat sterilized (60 min at 121°C) and inoculated at a biomass concentration of approximately 0.5 g L-1 of dry weight and grown at an incident light intensity of 100 μmol m-2 s-1. Once the biomass concentration reached 1 g L-1, which was typically three days after inoculation, the set points for incident light intensity were changed to the desired values (60, 100, 250, 500, or 750 μmol m-2 s-1 incident light intensity). The day at which the light intensity was changed to the experimental set point was regarded as start of the experiment, and therefore referred to as t = 0. Periodically, samples (approximately 20 mL culture volume) were taken aseptically and analysed for dry weight concentration, triacylglycerol (TAG) and total fatty acid (TFA) concentration and composition, dissolved (residual) nitrate Photosystem II (PSII) maximum quantum yield (Fv/Fm) ratio, and absorption cross section. After taking a sample, the culture volume was restored by adding 0.2 μm-filtered reactor medium to ensure that the pH probe remained submerged. Depending on whether the culture was in N-replete phase or N-depleted phase, this medium contained either 5 mM KNO3 or no nitrogen, respectively.
Five different incident light intensities were selected that cover both low light and light saturation (light saturation point for P. tricornutum was found at 150–200 μmol m-2 s-1 [13–15]). Three photo bioreactor experiments were conducted in biological duplicate to test reproducibility[16].
Measurements for dry weight, Fv/Fm and dissolved nitrogen were performed in technical triplicates. Measurements for the light absorption spectrum, lipid content and composition were performed in technical duplicate.
Biomass analysis
Samples were taken at regular time points to monitor biomass dry weight concentration gravimetrically as described by [17]. Light absorption spectrum was measured in a double-beam spectrophotometer (UV-2600, Shimadzu, Japan) equipped with an integrated sphere (ISR-2600). The average dry weight-specific optical cross section (αC in m2 g-1) was calculated from the obtained absorption spectrum as described by [18]. The Fv/Fm ratio was measured using an AquaPen-C AP-C 100 FluorPen fluorometer (Photon Systems Instruments, Czech Republic) equipped with an orange LED emitter (excitation light 620 nm) as described by [19].
The triacylglycerol (TAG), membrane lipid (ML) and total fatty acid (TFA) content and fatty acid composition were determined by lipid extraction (chloroform:methanol mixture), lipid class separation using a silica column, transesterification and subsequently quantified using gas chromatography (GC-FID) as described by Breuer et al. [9]. The dissolved nitrate concentration was measured with an AQ2 nutrient analyser (Seal Analytical, USA) as described by Benvenuti et al. [20].
Calculating yield and productivity
The time averaged volumetric productivity (ri(t0 → t)) was calculated by dividing the amount of formed product (i: biomass, triacylglycerol, EPA) over cultivation time according to Eq 1;
(1) |
The time averaged yield of TAG on light (YTAG,ph(t0 → t)) on each time point was calculated by dividing the amount of TAG produced in that period by the amount of light supplied in that period [21]. In addition, the photon costs for initial biomass production until nitrogen depletion were incorporated by assuming that this biomass was made with a theoretical net photosynthetic yield, Yx,ph, of 1g molph;
(2) |
In Eq 2, TAG(t) and TAG(tN = 0) represent the TAG concentration at time point t and the moment of nitrogen starvation, respectively. The exact time of nitrogen starvation (tN = 0) was estimated by interpolation of the biomass concentration to 1.2 g L-1. I0 is the incident light intensity, z is the reactor depth and Cx,N = 0 is the biomass concentration at the onset of nitrogen starvation.
Results and discussion
Effect of light on biomass growth
The impact of five different light intensities on biomass, TAG and EPA productivity during nitrogen starvation was assessed in batch-wise operated flat-panel photo bioreactors that were subjected to 16:8h light:dark (LD) cycles. Results for dry weight, quantum yield and TAG content are shown in Fig 1.
Sufficient nitrogen was added to reach a biomass concentration of 1.2 g DW L-1. After that biomass concentration was reached, all nitrogen was used and the culture was exposed to nitrogen starvation. The biomass concentration further increased up to 2.2 g L-1 of dry weight, which was due to the accumulation of TAG (Fig 1) and carbohydrates (S1 Table). The maximum achieved biomass concentration was reached 5 days after nitrogen starvation started, except for the culture exposed to the lowest light conditions, which reached the maximum biomass 14 days after nitrogen starvation started. The maximum reached biomass concentration was 2.15±0.1 g L-1, independent of the supplied light intensity (Fig 1A). Other studies showed similar findings for the freshwater microalgae Acutodesmus obliquus under nitrogen starvation [4].
Cultures that are light limited are expected to show an increase in biomass productivity upon increasing light intensities [9]. However, our results show no differences in productivities for the cultures exposed to 100 μmol m-2 s-1 and higher (Fig 1). This similarity in productivity might be explained by photo inhibition that occurred from 100 μmol m-2 s-1 onwards. As soon as the photosynthetic machinery becomes inhibited, further increasing light intensity would not enhance the productivity anymore [22]. According to Fig 1B, a strong decline in Fv/Fm was observed (from 0.6 to 0) for cultures exposed to light intensities above 100 μmol m-2 s-1 immediately after nitrogen starvation. A decline in Fv/Fm is generally acknowledged with reduced photosynthetic efficiency or photo damage [19,23,24]. Geider et al. [13] presented a light curve for P. tricornutum. Similar to our findings, they reported that from 100 μmol m-2 s-1 onwards light saturation occurs in P. tricornutum. In addition, Acién Fernández et al. [25] performed outdoor growth experiments with P. tricornutum, where the maximum biomass productivity was reached at average irradiances of 50–150 μmol m-2 s-1 and decreased at light intensities higher than 150 μmol m-2 s-1. Altogether, it is likely that in this work P. tricornutum becomes photo inhibited at light intensities above 100 μmol m-2 s-1.
Changes in TAG accumulation, productivity and yields
Independent of incident light intensity, the TAG concentration increased from 0.05 g L-1 (3% of dry weight) under nitrogen replete conditions to ~0.41 g L-1 (~25% of dry weight) after prolonged nitrogen starvation (Fig 1 and S2 Table). These maximum TAG contents are in agreement with observations from literature (Table 1).
Table 1. Comparison of the maximum TAG and total fatty acid content obtained in this study to literature values.
Except for the culture exposed to the lowest light intensity (60 μmol m-2 s-1), TAG accumulation did not differ significantly for the tested conditions (Fig 1). The culture exposed to high incident light intensity (750 μmol m-2 s-1) showed a decline in TAG content from day 11 onwards, which might indicate photo damage or even cell death.
The TAG yield on light is directly proportional to areal productivity and is therefore also strongly related to investment and variable production costs. The maximum time-averaged TAG yield on light is often used as indicator to determine optimal harvest moments [7]. Our study shows that large differences were observed in the maximum time-averaged TAG yield on light among the different tested incident light intensities (Fig 2). Of all tested conditions, the cultures exposed to low light (60 μmol m-2 s-1) reached the highest maximum TAG yield on light (112 mg TAG molph-1). Increasing the incident light intensity only resulted in lower TAG yields on light: 96 mg TAG molph-1 for the culture exposed to 100 μmol m-2 s-1 and 36–48 mg TAG molph-1 for cultures exposed to even higher light intensities. In comparison with other studies (Table 2), P. tricornutum shows relative low TAG yields on light compared to other strains at similar or higher incident light intensities.
Table 2. Comparison of the maximum time-averaged TAG yield on light obtained in this study to literature values.
Species | TAG yield on light | Incident light intensity | Operational strategy | Reference |
---|---|---|---|---|
(g mol-1) | (μmol m-2 s-1) | |||
Phaeodactylum tricornutum | 0.12 | 60 | Batch, LD16:8 | This study |
Acutodesmus obliquus | 0.24, 0.13, 0.09, 0.04 | 200, 500, 800, 1500 | Batch, CL | [9] |
Acutodesmus obliquus | 0.15 | 500 | Batch, CL | [39] |
Acutodesmus obliquus slm1 | 0.22 | 500 | Batch, CL | [39] |
Acutodesmus obliquus | 0.16 | 500 | Batch, LD16:8 | Remmers et al. (submitted) |
Acutodesmus obliquus slm1 | 0.20 | 500 | Batch, LD16:8 | Remmers et al. (submitted) |
Clorella zofingiensis | 0.32 | 245 | Batch, CL | [5] |
Chlorella vulgaris | 0.161 | 6152 | Batch, outdoor | [40] |
Chlorococcum litrorale | 0.16 | 6363 | Batch, sinosidial LD 16:8 | [41] |
Chlorococcum litrorale, S5 sorted population | 0.32 | 6363 | Batch, sinosidial LD 16:8 | [41] |
Neochloris oleoabundans | 0.16 | 218 | Batch, CL | [6] |
Nannochloropsis oculata | 0.17–0.254 | 250 | Batch, CL | [42] |
Nannochloropsis sp. | 0.10 | 6363 | Batch, sinosidial LD 16:8 | [20] |
Nannochloropsis sp. | 0.145 | 636 | Batch, CL | [7] |
Sustained biomass productivity upon nitrogen starvation is a key selection parameter for efficient TAG production. As shown in Fig 1A, P. tricornutum only showed a 2–2.2-fold biomass increase upon nitrogen starvation. Other oleaginous green microalgae (e.g. Acutodesmus obliquus, Chlorella zofingiensis) showed a 6–8 fold increase in biomass upon nitrogen starvation [4,5,19]. High photon to TAG conversion yields are only possible when light energy is efficiently used to fix carbon (e.g. measured as biomass productivity) and when the majority of fixed carbon is channelled towards storage lipids (e.g. TAG content). Literature reports that diatoms are specifically known to mobilize alternative electron transport (AET) pathways, that can eradicate up to 50% of the electrons released by PS II [28–30]. Also, increased Non-Photochemical Quenching (NPQ) rates were found for P. tricornutum when exposed to increased light intensities [31–33]. Both processes are known to protect the cells from photo inhibition but to also result in inherent productivity losses. For P. tricornutum, these mechanisms might explain the reduced photosynthetic efficiency compared to other microalgae under low light nitrogen starvation.
Considering the abovementioned light sensitivity of P. tricornutum during nitrogen starvation, precautions should be taken to prevent the culture from extensive photo inhibition when working in high irradiance conditions [34]. Examples are to increase the culture cell density to create a dark zone in which the photo inhibitory damage can be repaired [35,36] or to execute strain improvement for reduced antenna size [37,38].
FA composition
The fatty acid composition of TAG and membrane lipids (ML) did not substantially change over time nor with incident light intensity (the complete fatty acid composition of both fractions during the time-course of the experiments can be found in Table 3). The most abundant fatty acids in TAG were found to be C16:1 (44% of total TAG fatty acids) and C16:0 (30% of total TAG fatty acids). Only a small fraction of C20:5 (EPA) was found in the TAG pool (6–10% of total TAG fatty acids). The membrane lipid fraction was primarily comprised of C16:0 (20% of total ML fatty acids), C16:1 (25–30% of total ML fatty acids) and C20:5 (25–30% of total ML fatty acids) (Table 3). Literature reports similar fatty acid profiles in P. tricornutum [4,43–45]. As a consequence of TAG accumulation (Fig 1) and the lower EPA content of TAG compared to membrane lipids, the EPA fraction of the total fatty acid pool in the biomass dropped from 25% to 9% of the total fatty acids (S3 Table). Because the biomass productivity declined at the onset of nitrogen depletion, EPA productivity was highest (6–12 mg L-1day-1) under nitrogen replete growth conditions.
Table 3. Average fatty acid composition of P. tricornutum in the TAG and ML lipid fraction for five different light intensities: 60, 100, 250, 500 and 750 μmol m-2 s-1.
% of fatty acids in TAG fraction | % of fatty acids in ML fraction | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
60 | 100 | 250 | 500 | 750 | 60 | 100 | 250 | 500 | 750 | |
C14:0 | 5.1 | 5 | 5.5 | 5.2 | 5.8 | 6.5 | 5.7 | 5.5 | 6.4 | 6 |
(0.7) | (0.5) | (0.9) | (0.5) | (0.4) | (0.3) | (0.7) | (0.8) | (0.4) | (1.2) | |
C16:0 | 24.8 | 26.3 | 31.8 | 29.8 | 25 | 19.1 | 21.2 | 25.7 | 26.3 | 31.1 |
(3.6) | (4.5) | (1.4) | (3.7) | (0.4) | (3.3) | (3.7) | (5.6) | (7.9) | (8.5) | |
C16:1 | 40.4 | 44.8 | 43.1 | 42 | 49.1 | 26.4 | 26.5 | 26.6 | 25.8 | 21.8 |
(5.1) | (3.2) | (3.1) | (5.5) | (3.4) | (2.3) | (2.1) | (2.2) | (1.5) | (4.3) | |
C16:2 | 0.7 | 1.3 | 1.9 | 0.7 | 2.1 | 3 | 2.5 | 1.2 | 1.7 | 1.2 |
(0.5) | (1.3) | (0.4) | (0.3) | (3.1) | (1.1) | (1.9) | (0.6) | (1) | (0.5) | |
C16:3 | 1.1 | 1.3 | 1.2 | 0.9 | 1.4 | 5.2 | 4.3 | 3.7 | 4.1 | 3.4 |
(0.5) | (0.8) | (0.6) | (0.3) | (0.7) | (2.3) | (1.7) | (1.9) | (2.5) | (2.3) | |
C18:0 | 1.8 | 1.7 | 1.6 | 1.4 | 1.5 | 2.4 | 3.6 | 5.2 | 3.4 | 7.6 |
(0.2) | (0.3) | (0.5) | (0.2) | (0.5) | (1) | (1.5) | (2.8) | (1.3) | (5.3) | |
C18:1 | 5.8 | 5.7 | 5.1 | 4.2 | 4.6 | 2.7 | 3.8 | 4.1 | 4 | 4.5 |
(1.2) | (1.4) | (1.1) | (0.6) | (1.1) | (1.1) | (2.4) | (1.7) | (1.7) | (1.6) | |
C18:2w6 | 1.4 | 1.3 | 1.3 | 1.1 | 1.3 | 2 | 1.4 | 2.2 | 2 | 2 |
(0.3) | (0.3) | (0.2) | (0.3) | (0.2) | (0.6) | (0.4) | (0.8) | (0.8) | (1.1) | |
C18:3w3 | 6.7 | 3.3 | 2.8 | 5.6 | 2.7 | 1.5 | 1.5 | 1.7 | 1.3 | 1.5 |
(4.3) | (2.4) | (0.6) | (5.4) | (0.6) | (0.4) | (0.6) | (0.5) | (0.3) | (0.8) | |
C20:3'(n3 | 0.9 | 0.4 | 0.1 | 1.7 | 0.4 | 5.8 | 5.7 | 3.8 | 3.7 | 3 |
(0.8) | (0.3) | (0.1) | (4) | (0.8) | (1.7) | (2.7) | (1.3) | (0.7) | (2.1) | |
C20:5'(n3 | 7.8 | 7.1 | 6.7 | 7.4 | 7.2 | 25.5 | 23.8 | 20.3 | 21.3 | 18 |
(1.4) | (1.4) | (0.8) | (1) | (1.1) | (5.7) | (7) | (5.5) | (7.1) | (8.9) |
EPA incorporation in membrane lipids and triacylglycerol
Fig 3 shows the EPA concentration per litre culture with respect to the TAG en membrane lipid fraction. Apart from a small increase until day 5, neither a substantial net synthesis nor breakdown of EPA upon N starvation is observed. However, the distribution of EPA over TAG and membrane lipids changes over time. Upon nitrogen depletion, a substantial increase in EPA distribution towards TAG can be observed. Simultaneously, we observed a decrease in EPA that was bound to membrane lipids. Therefore, we hypothesize that the EPA found in TAG under nitrogen starvation could partially be derived from EPA-containing membrane lipids that were restructured upon nitrogen depletion. Similar observations have been made for Nannochloropsis oceanica [46], Nannochloropsis oculata and Pavlova lutheri [47].
For many species, nitrogen depletion results in an inherent degradation of photosynthetic membrane lipids with simultaneous accumulation of TAG. Part of the fatty acids originating from membrane lipids could thus be used as fatty acyl donors for TAG synthesis under nutrient deprivation (Fig 3). However, detailed knowledge on the mechanisms behind carbon partitioning in microalgae under nitrogen deprivation is still lacking [47–51] and further research using 13C labelling should confirm these observations. To further improve EPA productivity by means of metabolic engineering or process development [52], it is crucial to understand the regulation of EPA towards different lipids classes (e.g. TAG or structural membrane lipids) under different environmental conditions.
Conclusion
Elevated light intensities (>100 μmol m-2 s-1) reduce the photosynthetic efficiency and the TAG yield on light during nitrogen starvation, likely caused by photo inhibition. Compared to other microalgae strains, relative low TAG yields on light were observed for P. tricornutum as the maximum yield was only 112 mg TAG molph-1 (at 60 μmol m-2 s-1). TAG contents were similar for all light intensities tested (i.e. 25% of dry weight). Further analysis on the fatty acid composition revealed that the TAG fraction of P. tricornutum contains 6–10% of EPA. Mass balance analysis revealed this EPA fraction may originate partly from photosynthetic membrane lipids that were restructured after nitrogen depletion.
Supporting information
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This work was carried our within the EU project Fuel4Me. Fuel4Me was funded by the European Union’s Seventh Programme for Research and Technology Development (EU-FP7) under grant agreement No. 308983. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Ruiz J, Olivieri G,de Vree J, Bosma R, Willems P, Reith JH, et al. Towards industrial products from microalgae. Energy Environ Sci. 2016;9: 3036–3043. [Google Scholar]
- 2.Chauton MS, Reitan KI, Norsker NH, Tveterås R, Kleivdal HT. A techno-economic analysis of industrial production of marine microalgae as a source of EPA and DHA-rich raw material for aquafeed: Research challenges and possibilities. Aquaculture. 2015;436: 95–103. [Google Scholar]
- 3.Norsker N-H, Barbosa MJ, Vermuë MH, Wijffels RH. Microalgal production—A close look at the economics. Biotechnol Adv. 2011;29: 24–27. 10.1016/j.biotechadv.2010.08.005 [DOI] [PubMed] [Google Scholar]
- 4.Breuer G, Lamers PP, Martens DE, Draaisma RB, Wijffels RH. The impact of nitrogen starvation on the dynamics of triacylglycerol accumulation in nine microalgae strains. Bioresour Technol. 2012;124: 217–26. 10.1016/j.biortech.2012.08.003 [DOI] [PubMed] [Google Scholar]
- 5.Mulders KJM, Janssen JH, Martens DE, Wijffels RH, Lamers PP. Effect of biomass concentration on secondary carotenoids and triacylglycerol (TAG) accumulation in nitrogen-depleted Chlorella zofingiensis. Algal Res. 2014;6: 8–16. [Google Scholar]
- 6.Santos AM, Wijffels RH, Lamers PP. pH-upshock yields more lipids in nitrogen-starved Neochloris oleoabundans. Bioresour Technol. 2014;152: 299–306. 10.1016/j.biortech.2013.10.079 [DOI] [PubMed] [Google Scholar]
- 7.Benvenuti G, Lamers PP, Breuer G, Bosma R, Cerar A, Wijffels RH, et al. Microalgal TAG production strategies: why batch beats repeated-batch. Biotechnol Biofuels. 2016;9: 64 10.1186/s13068-016-0475-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bitaubé Pérez E, Caro Pina I, Pérez Rodríquez L. Kinetic model for growth of Phaeodactylum tricornutum in intensive culture photobioreactor. Biochem Eng J. 2008;40: 520–525. [Google Scholar]
- 9.Breuer G, Lamers PP, Martens DE, Draaisma RB, Wijffels RH. Effect of light intensity, pH, and temperature on triacylglycerol (TAG) accumulation induced by nitrogen starvation in Scenedesmus obliquus. Bioresour Technol. 2013;143: 1–9. 10.1016/j.biortech.2013.05.105 [DOI] [PubMed] [Google Scholar]
- 10.Molina-Grima E, Pérez JAS, Camacho FG, Fernández FGA, Sevilla JMF, Sanz FV. Effect of dilution rate on eicosapentaenoic acid productivity of Phaeodactylum tricornutum utex 640 in outdoor chemostat culture. Biotechnol Appl Biochem. Kluwer Academic Publishers; 1994;16: 1035–1040. [Google Scholar]
- 11.Reis A, Gouveia L, Veloso V, Fernandes HL, Empis JA, Novais JM. Eicosapentaenoic acid-rich biomass production by the microalga Phaeodactylum tricornutum in a continuous-flow reactor. Bioresour Technol. 1996;55: 83–88. [Google Scholar]
- 12.Yongmanitchal W, Ward OP. Growth and eicosapentaenoic acid production by Phaeodactylum tricornutum in batch and continuous culture systems. J Am Oil Chem Soc. Springer-Verlag; 1992;69: 584–590. [Google Scholar]
- 13.Geider J. R, Osborne BA, Raven JA. Light Dependence of Growth and Photosynthesis in Phaeodactylum Tricornutum (bacillariophyceae). J Phycol. 1985;21: 609–619. [Google Scholar]
- 14.Ritchie RJ. Fitting light saturation curves measured using modulated fluorometry. Photosynth Res. 2008;96: 201–215. 10.1007/s11120-008-9300-7 [DOI] [PubMed] [Google Scholar]
- 15.Wiegman S, Barranguet C, Spijkerman E, Kraak MHS, Admiraal W. The role of ultraviolet-adaptation of a marine diatom in photoenhanced toxicity of acridine. Environ Toxicol Chem. 2003;22: 591–598. [PubMed] [Google Scholar]
- 16.Postma PR, Miron TL, Olivieri G, Barbosa MJ, Wijffels RH, Eppink MHM. Mild disintegration of the green microalgae Chlorella vulgaris using bead milling. Bioresour Technol. 2015;184: 297–304. 10.1016/j.biortech.2014.09.033 [DOI] [PubMed] [Google Scholar]
- 17.Lamers PP, van de Laak CCW, Kaasenbrood PS, Lorier J, Janssen M, De Vos RCH, et al. Carotenoid and fatty acid metabolism in light-stressed Dunaliella salina. Biotechnol Bioeng. 2010;106: 638–48. 10.1002/bit.22725 [DOI] [PubMed] [Google Scholar]
- 18.de Mooij T, Janssen M, Cerezo-Chinarro O, Mussgnug JH, Kruse O, Ballottari M, et al. Antenna size reduction as a strategy to increase biomass productivity: a great potential not yet realized. J Appl Phycol. 2014;27: 1063–1077. [Google Scholar]
- 19.Benvenuti G, Bosma R, Cuaresma M, Janssen M, Barbosa MJ, Wijffels RH. Selecting microalgae with high lipid productivity and photosynthetic activity under nitrogen starvation. J Appl Phycol. 2014;27: 1425–1431. [Google Scholar]
- 20.Benvenuti G, Bosma R, Ji F, Lamers P, Barbosa MJ, Wijffels RH. Batch and semi-continuous microalgal TAG production in lab-scale and outdoor photobioreactors. J Appl Phycol. 2016;28: 3167–3177. 10.1007/s10811-016-0897-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Breuer G, Lamers PP, Janssen M, Wijffels RH, Martens DE. Opportunities to improve the areal oil productivity of microalgae. Bioresour Technol. 2015;186: 294–302. 10.1016/j.biortech.2015.03.085 [DOI] [PubMed] [Google Scholar]
- 22.Dillschneider R, Steinweg C, Rosello-Sastre R, Posten C. Biofuels from microalgae: Photoconversion efficiency during lipid accumulation. Bioresour Technol. 2013;142: 647–654. 10.1016/j.biortech.2013.05.088 [DOI] [PubMed] [Google Scholar]
- 23.Parkhill J-P, Maillet G, Cullen JJ. Fluorescence-based maximal quantum yield for PSII as a diagnostic of nutrient stress. J Phycol. 2001;37: 517–529. [Google Scholar]
- 24.Zhao Y, Wang Y, Quigg A. Comparison of population growth and photosynthetic apparatus changes in response to different nutrient status in a diatom and a coccolithophore. Wetherbee R, editor. J Phycol. 2015;51: 872–884. 10.1111/jpy.12327 [DOI] [PubMed] [Google Scholar]
- 25.Acién Fernández FG, Hall DO, Cañizares Guerrero E, Krishna Rao K, Molina Grima E. Outdoor production of Phaeodactylum tricornutum biomass in a helical reactor. J Biotechnol. 2003;103: 137–152. 10.1016/S0168-1656(03)00101-9 [DOI] [PubMed] [Google Scholar]
- 26.Griffiths MJ,van Hille RP, Harrison STL. Lipid productivity, settling potential and fatty acid profile of 11 microalgal species grown under nitrogen replete and limited conditions. J Appl Phycol. 2011;24: 989–1001. [Google Scholar]
- 27.Santos-Ballardo DU, Rendón-Unceta MDC, Rossi S, Vázquez-Gómez R, Hernández-Verdugo S, Valdez-Ortiz A. Effects of outdoor cultures on the growth and lipid production of Phaeodactylum tricornutum using closed photobioreactors. World J Microbiol Biotechnol. 2016;32: 128 10.1007/s11274-016-2089-1 [DOI] [PubMed] [Google Scholar]
- 28.Jallet D, Caballero MA, Gallina AA, Youngblood M, Peers G. Photosynthetic physiology and biomass partitioning in the model diatom Phaeodactylum tricornutum grown in a sinusoidal light regime. Algal Res. 2016;18: 51–60. [Google Scholar]
- 29.Wagner H, Jakob T, Lavaud J, Wilhelm C. Photosystem II cycle activity and alternative electron transport in the diatom Phaeodactylum tricornutum under dynamic light conditions and nitrogen limitation. Photosynth Res. 2015;128: 151–161. 10.1007/s11120-015-0209-7 [DOI] [PubMed] [Google Scholar]
- 30.Waring J, Klenell M, Bechtold U, Underwood GJC, Baker NR. Light-Induced Responses of Oxygen Photoreduction, Reactive Oxygen Species Production and Scavenging in Two Diatom Species. J Phycol. 2010;46: 1206–1217. [Google Scholar]
- 31.Bailleul B, Rogato A,de Martino A, Coesel S, Cardol P, Bowler C, et al. An atypical member of the light-harvesting complex stress-related protein family modulates diatom responses to light. Proc Natl Acad Sci. 2010;107: 18214–18219. 10.1073/pnas.1007703107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Chauton MS, Winge P, Brembu T, Vadstein O, Bones AM. Gene regulation of carbon fixation, storage, and utilization in the diatom Phaeodactylum tricornutum acclimated to light/dark cycles. Plant Physiol. 2013;161: 1034–48. 10.1104/pp.112.206177 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Lavaud J, Rousseau B,van Gorkom HJ, Etienne A-L. Influence of the Diadinoxanthin Pool Size on Photoprotection in the Marine Planktonic Diatom Phaeodactylum tricornutum. Plant Physiol. 2002;129: 1398–1406. 10.1104/pp.002014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Richmond A. Handbook of Microalgal Culture: Biotechnology and Applied Phycology. John Wiley & Sons; 2008. [Google Scholar]
- 35.Olivieri G, Salatino P, Marzocchella A. Advances in photobioreactors for intensive microalgal production: configurations, operating strategies and applications. J Chem Technol Biotechnol. 2014;89: 178–195. [Google Scholar]
- 36.Tredici MR, Zittelli GC. Efficiency of sunlight utilization: Tubular versus flat photobioreactors. Biotechnol Bioeng. 1998;57: 187–197. [DOI] [PubMed] [Google Scholar]
- 37.de Mooij T, Schediwy K, Wijffels RH, Janssen M. Modeling the competition between antenna size mutant and wild type microalgae in outdoor mass culture. J Biotechnol. 2016;240: 1–13. 10.1016/j.jbiotec.2016.10.009 [DOI] [PubMed] [Google Scholar]
- 38.Perin G, Bellan A, Segalla A, Meneghesso A, Alboresi A, Morosinotto T. Generation of random mutants to improve light-use efficiency of Nannochloropsis gaditana cultures for biofuel production. Biotechnol Biofuels. 2015;8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Breuer G, de Jaeger L, Artus VPG, Martens DE, Springer J, Draaisma RB, et al. Superior triacylglycerol (TAG) accumulation in starchless mutants of Scenedesmus obliquus: (II) evaluation of TAG yield and productivity in controlled photobioreactors. Biotechnol Biofuels. 2014;7: 70 10.1186/1754-6834-7-70 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Münkel R, Schmid-Staiger U, Werner A, Hirth T. Optimization of outdoor cultivation in flat panel airlift reactors for lipid production by Chlorella vulgaris. Biotechnol Bioeng. 2013;110: 2882–2893. 10.1002/bit.24948 [DOI] [PubMed] [Google Scholar]
- 41.Cabanelas ITD, van der Zwart M, Kleinegris DMM, Wijffels RH, Barbosa MJ. Sorting cells of the microalga Chlorococcum littorale with increased triacylglycerol productivity. Biotechnol Biofuels. 2016;9: 183 10.1186/s13068-016-0595-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Van Vooren G, Le Grand F, Legrand J, Cuiné S, Peltier G, Pruvost J. Investigation of fatty acids accumulation in Nannochloropsis oculata for biodiesel application. Bioresour Technol. 2012;124: 421–432. 10.1016/j.biortech.2012.08.009 [DOI] [PubMed] [Google Scholar]
- 43.Abida H, Dolch L-J, Meï C, Villanova V, Conte M, Block MA, et al. Membrane Glycerolipid Remodeling Triggered by Nitrogen and Phosphorus Starvation in Phaeodactylum tricornutum. Plant Physiol. 2015;167: 118–136. 10.1104/pp.114.252395 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Alonso DL, Belarbi E-H, Fernández-Sevilla JM, Rodríguez-Ruiz J, Grima EM. Acyl lipid composition variation related to culture age and nitrogen concentration in continuous culture of the microalga Phaeodactylum tricornutum. Phytochemistry. 2000;54: 461–471. 10.1016/S0031-9422(00)00084-4 [DOI] [PubMed] [Google Scholar]
- 45.Gatenby CM, Orcutt DM, Kreeger DA, Parker BC, Jones VA, Neves RJ. Biochemical composition of three algal species proposed as food for captive freshwater mussels. J Appl Phycol. 2003;15: 1–11. [Google Scholar]
- 46.Jia J, Han D, Gerken HG, Li Y, Sommerfeld M, Hu Q, et al. Molecular mechanisms for photosynthetic carbon partitioning into storage neutral lipids in Nannochloropsis oceanica under nitrogen-depletion conditions. Algal Res. 2015;7: 66–77. [Google Scholar]
- 47.Guihéneuf F, Stengel DB. LC-PUFA-enriched oil production by microalgae: accumulation of lipid and triacylglycerols containing n-3 LC-PUFA is triggered by nitrogen limitation and inorganic carbon availability in the marine haptophyte Pavlova lutheri. Mar Drugs. 2013;11: 4246–66. 10.3390/md11114246 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Juergens MT, Disbrow B, Shachar-Hill Y. The Relationship of Triacylglycerol and Starch Accumulation to Carbon and Energy Flows during Nutrient Deprivation in Chlamydomonas reinhardtii. Plant Physiol. 2016;171: 2445–2457. 10.1104/pp.16.00761 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Klein U. Intracellular Carbon Partitioning in Chlamydomonas reinhardtii. Plant Physiol. 1987;85: 892–897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Mühlroth A, Li K, Røkke G, Winge P, Olsen Y, Hohmann-Marriott MF, et al. Pathways of lipid metabolism in marine algae, co-expression network, bottlenecks and candidate genes for enhanced production of EPA and DHA in species of Chromista. Mar Drugs. 2013;11: 4662–97. 10.3390/md11114662 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Tonon T, Harvey D, Larson TR, Graham IA. Long chain polyunsaturated fatty acid production and partitioning to triacylglycerols in four microalgae. Phytochemistry. 2002;61: 15–24. [DOI] [PubMed] [Google Scholar]
- 52.Adarme-Vega TC, Lim DKY, Timmins M, Vernen F, Li Y, Schenk PM. Microalgal biofactories: a promising approach towards sustainable omega-3 fatty acid production. Microb Cell Factories. 2012;11: 96. [DOI] [PMC free article] [PubMed] [Google Scholar]
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