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AC-202, a highly effective fluorophore for the visualization of lipid droplets in green algae and diatoms

Abstract

Background

Lipid-specific live cell dyes are an important tool for the study of algal lipid metabolism, the monitoring of lipid production, and the identification of algal strains with high lipid yields. Nile Red and BODIPY have emerged as the principal dyes for these purposes. However, they suffer from a number of shortcomings including for specificity, penetration, interference from chlorophyll autofluorescence, and incompatibility with widely used genetically encoded reporters in the green and blue regions of the spectrum such as the green fluorescent protein and the red fluorescent protein.

Results

We tested a new blue fluorescent dye, AC-202, in both the green algae Chlamydomonas reinhardtii and the pennate diatom Phaeodactylum tricornutum. We show that AC-202 is effective in both algae and that after minimal sample preparation, it can label lipid droplets induced by nitrogen starvation or by inhibitors of the TOR (target of rapamycin) kinase. We found that AC-202 benefits from a low background signal and is therefore more sensitive than BODIPY for semiquantitative in vivo fluorescence measurements. Finally, a co-staining experiment indicated that AC-202 can be used for multicolor imaging in combination with both red and green fluorophores.

Conclusions

AC-202 is an alternative and highly effective fluorophore for algal research that resolves drawbacks encountered with other neutral lipid dyes. AC-202 can be used to rapidly and sensitively visualize lipid droplets, and will contribute to the identification of metabolic and signaling pathways involved in lipid droplet formation, monitoring lipid production, and in the development of screens for algal strains suitable for biofuel production.

Background

Global economic activity relies on the consumption of large quantities of fossil fuels whose combustion releases greenhouse gases that are major contributors to climate change. Despite the growing adoption of renewable energy sources, fossil fuel use continues to increase [1]. The resulting continued growth in greenhouse gas emissions risks a scenario where global temperatures rise to levels that are predicted to have major negative impacts on society, the economy, and the environment [2]. Third-generation biofuels are fuels that are produced from microalgae and which therefore have the potential to help reduce net greenhouse gas emissions if adopted on a large scale. Microalgae are unicellular organisms that can fix CO2 during photosynthesis with a higher efficiency than plants [3, 4]. They can be cultured in closed photobioreactors or in open ponds directly exposed to sunlight. Notably, these methods of cultivation have the advantage of not competing with agriculture for land use. Microalgae are also one of the fastest growing photosynthetic organisms, and some are able to double their biomass in 24Ā h [5]. Under specific conditions, microalgae can also produce large quantities of neutral lipids, mainly in the form of triacylglycerol (TAG) that can readily be transformed into liquid fuels by transesterification. Lipid yields from microalgae can be more than tenfold greater than those from the best oilseed crops (oil palm) from the same land area [5]. Microalgae therefore have great potential for contributing to the replacement of fossil fuels with lower impact alternatives in the future. Despite the seductive advantages of microalgae, many bottlenecks limit the industrial production of third-generation biofuels [6]. One of these is the elucidation of the little-understood genetic and regulatory mechanisms controlling growth and the production of high-energy molecules and valuable byproducts. This understanding will in turn accelerate the domestication of microalgae by the selection and engineering of strains with robust growth and lipid production capabilities.

Under unfavorable growth conditions such as nitrogen depletion, TAG accumulates in lipid droplets where they are surrounded by a monolayer of polar lipids decorated by proteins [7]. The major functions of lipid droplets are to efficiently store energy and to provide acyl chains for membrane synthesis when environmental conditions again become favorable. The accumulation of lipids in microalgae can be detected using several methods including coherent Raman microscopy, gravimetry, thin-layer chromatography (TLC), high-performance liquid chromatography (HPLC), liquid chromatography coupled to mass spectrometry (LCā€“MS), gas chromatography coupled to mass spectrometry (GCā€“MS), and microscopy or flow cytometry using lipid-specific dyes [8]. The use of lipid-specific dyes is a rapid and cost-effective approach that allows the semiquantitative detection of neutral lipids in many organisms including microalgae [9]. Fluorescent lipid-specific dyes are particularly useful because they allow for the investigation of the size, number, localization, and dynamics of lipid droplets within living cells. The most commonly used lipid-specific fluorophores are Nile Red and BODIPY. These fluorophores have played an important role in recent advances in the understanding of lipid metabolism in microalgae [9]. However, despite their many advantages, these dyes do have certain drawbacks. Nile Red binds with different proteins depending on the polarity of its environment, and may therefore bias lipid detection [10,11,12,13,14]. The penetration of Nile Red into many microalgae is also difficult and often necessitates pretreatment of the cells that can affect their viability [15,16,17,18,19,20,21,22]. However, perhaps the most serious drawback of Nile Red is a broad emission profile that interferes in the green with fluorescent reporters such as GFP and in the red with chlorophyll autofluorescence in photosynthetic cells [9]. BODIPY 505/515 presents several advantages over Nile Red, because it is insensitive to the polarity of the environment, is specific to lipid droplets [11, 20], and shows good penetration characteristics [23]. BODIPY 505/515 is also more photostable than its predecessor BODIPY 493/503. However, the green fluorescence of BODIPY 505/515 (hereafter referred to as BODIPY) prevents its use with commonly used reporters such as GFP. Also, under certain conditions, a weak correlation between BODIPY fluorescence intensity and lipid content can be observed [24]. Alternatives to BODIPY have been developed for lipid staining, but these alternatives also fluoresce in the green region of the spectrum [25, 26]. Therefore, it is necessary to expand the palette of lipid-specific fluorescent dyes to take full advantage of modern multicolor cell-imaging techniques.

Recently, two new classes of blue fluorescent lipid-specific stains have been reported. Monodansylpentane (MDH) specifically labels lipid droplets with excitation in the violet and emission in the blue (420ā€“480Ā nm) [27] and has been successfully used in plant cells [28]. However, MDH is a solvatochromatic dye that shows fluorescence in the red in aqueous environments [27]. Thus, care must be taken with the set-up of the fluorescence microscope, and multicolor imaging experiments could be complicated by this feature. Another class of lipid-specific blue fluorescent molecules (AC-201, AC-202, and AC-1041) was also recently reported in plants [29]. These markers are novel analogs of thalidomide (2,6-diisopropylphenyl-4/5-amino-substituted-4/5,6,7-trifluorophthalimides) that were originally developed as anticancer compounds [30]. These compounds show very low toxicity in plants cells [29]. The AC fluorophores are excited in the violet and emit in blue (410ā€“490Ā nm) and are compatible for use with red and green genetically encoded reporters such as GFP and RFP, as well as with chlorophyll autofluorescence [29]. AC-201, AC-202, and AC-1041 have slightly different labeling and emission properties, and show excellent penetration and stability in several plant species. Currently, there have been no reports of the use of blue fluorescent lipid-specific dyes in algae, despite the intense study of lipid droplet biogenesis and turnover in these organisms.

In this study, we tested the potential of AC-202 as an alternative fluorophore for the visualization of lipid droplets in the green algae and in diatoms. We show that AC-202 specifically labels lipid droplets induced by nitrogen in the model green algae Chlamydomonas reinhardtii and the model diatom Phaeodactylum tricornutum. AC-202 showed excellent penetration and stability characteristics, and a markedly better signal-to-noise ratio than BODIPY. We also show that AC-202 can be used to label lipid droplets induced by treatment with an ATP-competitive inhibitor of TOR (target of rapamycin). Finally, we demonstrate that AC-202 can be used in combination with other fluorophores for multicolor imaging. Thus, AC-202 is a highly effective fluorophore for the visualization and quantification of lipid droplets, which is likely to be compatible with a broad range of microalgae.

Methods

Strains and cultivation conditions

Chlamydomonas reinhardtii CC4533 (wild type) was cultivated at 23Ā Ā°C with shaking and under continuous light (50Ā ĀµmolĀ māˆ’2Ā sāˆ’1) in standard Tris-acetate-phosphate (TAP) medium [31]. For nitrogen depletion, cells at OD750ā€‰=ā€‰0.5ā€“0.7 were centrifuged at 3000Ɨg 5Ā min and washed twice with TAP-N (TAP without NH4Cl). Pellets were then resuspended in TAP-N medium as in [32]. For TOR inhibition, AZD8055 (Chemdea, Ridgewood, USA) (dissolved in DMSO) was added to a final concentration of 2Ā ĀµM in the medium at OD750ā€‰=ā€‰0.2ā€“0.3, according to [33]. The final concentration of DMSO was 0.02%.

Phaeodactylum tricornutum was cultivated at 17Ā Ā°C with shaking and under continuous light (50Ā ĀµmolĀ māˆ’2Ā sāˆ’1) in Guillard medium f/2ā€‰+ā€‰Si [34] that was made in filtered seawater (40Ā gĀ Lāˆ’1 of sea salts, Sigma S9883-500G). For nitrogen depletion, 6ā€“7Ā mL of cells from a starter culture (OD750ā€‰=ā€‰0.5) were inoculated in 200Ā mL sodium nitrate free medium, or in control medium as described previously [35].

Treatments with fluorophores

AC-202 (a gift from AVICOR Ltd, Hungary) and BODIPYā„¢ 505/515 (ThermoFisher Scientific, Villebon-sur-Yvette, France) were dissolved in DMSO and added to 1Ā mL of cells at a final concentration of 10Ā ĀµM. The final concentration of DMSO was 0.1%. Cells were then incubated in the dark for 10Ā min and washed twice with culture medium. After a final centrifugation, pellets were resuspended in culture medium and observed. MitoTrackerā„¢ Green FM (ThermoFisher Scientific) staining was performed as above, using 0.5Ā ĀµM of the fluorophore.

Microscopy

Brightfield and fluorescence images were obtained using an Axioimager M2 fitted with Axiocam HRc Camera (Carl Zeiss Microscopy, Marly le Roi, France). Fluorescence was visualized with HBO 100 mercury lamp and Plan-Apochromat 63Ɨ/1.40 Oil objective (Zeiss). Images were captured with AxioVision Rel 4.8 software. For fluorescence visualization, the filters were as follows: chlorophyll, excitation BP560/55, and emission BP645/75; AC-202, excitation BP365/50, and emission BP450/65; BODIPY, excitation BP470/40, and emission BP540/50. For quantification of fluorescence, cells were analyzed using an Apotome Z1 fitted with Axiocam MRM Camera (Zeiss). Fluorescence was visualized with HBO 100 mercury lamp Plan-Apochromat 63Ɨ/1.40 Oil objective (Zeiss). Images were captured using Zen 2012 Software. The filters were as follows: chlorophyll, excitation BP560/40, and emission BP630/75; AC-202, excitation G365 FT 395, and emission BP445/50 (Zeiss filter set 49); and BODIPY, excitation BP475/40, and emission BP530/50.

Semi-quantitative analysis of the fluorescence

Fluorescence was quantified using ImageJ (version 1.45s, NIH). An outline was drawn around individual cells, and the area and the mean fluorescence were measured. Adjacent regions without cells were selected to measure the background fluorescence. The total corrected cellular fluorescence (TCCF) was then calculated using the following formula: TCCFā€‰=ā€‰Integrated densityā€‰āˆ’ā€‰(Area of selected cellā€‰Ć—ā€‰Mean background fluorescence) as described by McCloy et al. [36]. Fluorescence intensity profiles were performed for single cells in ImageJ.

Results

AC-202 labels lipid droplets induced by nitrogen starvation in C. reinhardtii

Nitrogen starvation is a well-known condition for the induction of TAG rich lipid droplets in algae [36, 37]. We therefore tested the fluorophore AC-202 using a simple staining procedure on C. reinhardtii cells transferred to growth media with or without nitrogen (Fig.Ā 1). As a control, cells were co-stained with BODIPY, a previously characterized lipid-specific fluorophore. Cells grown without nitrogen accumulated large lipid droplets that were visible with both AC-202 and BODIPY at 48Ā h after transfer (Fig.Ā 1b) (N.B. AC-202 is shown in mauve false color). The AC-202 and BODIPY signals appeared to co-localize completely, and no interference from the red channel for chlorophyll was observed. The co-localization of AC-202 and BODIPY was also confirmed by a fluorescence profile plot of a single nitrogen-starved cell (Fig.Ā 1c). To objectively compare the two labeling methods, we quantified total corrected cellular fluorescence intensities per cell at 24 and 48Ā h post transfer (Fig.Ā 1d, e). The quantification confirmed the increase in AC-202 and BODIPY fluorescence under nitrogen-starvation conditions relative to nonstarvation conditions. However, under nitrogen-starvation conditions, AC-202 showed a higher relative fluorescence signal than BODIPY at both 24 and 48Ā h post transfer (Fig.Ā 1d, e). This can be explained by a much stronger signal-to-background ratio for AC-202 than for BODIPY, which appears to be due to diffuse cytoplasmic labeling by BODIPY under nonstarvation conditions (Fig.Ā 1b, Additional file 1). Quantification of fluorescence in cells stained with each dye alone showed that the stronger signal-to-background ratio for AC-202 is not due to energy transfer from BODIPY to AC-202 in co-stained cells (Additional file 2). Together, these results indicate that AC-202 has a specificity for lipid droplets, which is very similar to BODIPY, has good penetration abilities, and can be used to visualize and quantify nitrogen-starvation-induced lipid droplets in C. reinhardtii with high sensitivity.

Fig.Ā 1
figure 1

BODIPY and AC-202 stainings of lipid droplets in Chlamydomonas reinhardtii cells after nitrogen depletion. a Brightfield images of cells transferred to replete conditions (+Nitrogen, top) or media without nitrogen (āˆ’Nitrogen, bottom) after 48Ā h. b Fluorescence microscope images of cells transferred to replete conditions (+Nitrogen, top) or media without nitrogen (āˆ’Nitrogen, bottom) after 48Ā h and co-stained with BODIPY and AC-202. Single fluorescence channels and BODIPYā€‰+ā€‰AC-202 fluorescence (Merge) are shown. c Normalized fluorescence profile plot of the nitrogen deprived cell in (b) showing the co-localization of BODIPY and AC-202 fluorescence. The x-axis represents the horizontal distance across the cell, and the y-axis the vertically averaged pixel intensity across the cell. d, e Total corrected cellular fluorescence was calculated for each fluorophore from cells grown under replete and nitrogen-starvation conditions after 24Ā h (d) and 48Ā h (e). Values are relative to the control condition (+Nitrogen). Averages shown,ā€‰Ā±ā€‰SE; ***Pā€‰<ā€‰0.001, Students t test, nā€‰=ā€‰30; Scale bar, 5Ā ĀµM

AC-202 labels lipid droplets induced by the inhibition of TOR in Chlamydomonas reinhardtii

Inhibition of the eukaryotic TOR (target of rapamycin) kinase has been shown to induce lipid droplet formation in very diverse algae including the green alga C. reinhardtii, the red alga Cyanidioschyzon merolae, the Excavata Euglena gracilis and the diatom Phaeodactylum tricornutum [16, 33, 38, 39]. However, the TOR pathway remains little understood in these organisms compared to in plants or animals [40], and new tools are required for more in-depth investigations of TOR function. In order to test whether AC-202 can also be used to detect lipid droplets induced by the inhibition of TOR function, we treated C. reinhardtii cells with the specific ATP-competitive TOR inhibitor AZD8055 under conditions that were previously shown to induce lipid droplets [33] (Fig.Ā 2). As expected, after 48Ā h, cells treated with AZD-8055 accumulated lipid droplets that were labeled with both BODIPY and AC-202 (Fig.Ā 2b). The BODIPY and AC-202 signals co-localized completely in AZD8055-treated cells (Fig.Ā 2b, c). Quantification of the fluorescence per cell showed that AC-202 staining allowed for the detection of a significant difference between nitrogen-starvation and control conditionsĀ 24Ā h after treatment. However, no significant difference between nitrogen-starvation and control conditions was observed with BODIPY staining at the same time point (Fig.Ā 2d). After 48Ā h and in agreement with the microscopy images, we could observe a significant difference in fluorescence per cell for BODIPY, although this ratio was smaller than that of AC-202 (Fig.Ā 2e).

Fig.Ā 2
figure 2

BODPIPY and AC-202 stainings of lipid droplets in Chlamydomonas reinhardtii cells in the presence of a TOR inhibitor. a Brightfield images of cells treated with DMSO (top) or a TOR inhibitor (AZD8055, bottom) after 48Ā h. b Fluorescence microscope images of cells treated with DMSO (top) or a TOR inhibitor (AZD8055, bottom) for 48Ā h and co-stained with BODIPY and AC-202. Single fluorescence channels and BODIPYā€‰+ā€‰AC-202 fluorescence (Merge) are shown. c Normalized fluorescence profile plot of the AZD8055-treated cell in (b) showing the co-localization of BODIPY and AC-202 fluorescence. The x-axis represents the horizontal distance across the cell, and the y-axis the vertically averaged pixel intensity across the cell. d, e Total corrected cellular fluorescence was calculated for each fluorophore from cells grown under control (DMSO) or TOR inhibition conditions (AZD8055) after 24Ā h (d) and 48Ā h (e). Values are relative to the control condition (DMSO). Averages shown,ā€‰Ā±ā€‰SE; **Pā€‰<ā€‰0.001, ***Pā€‰<ā€‰0.001, Students t-test, nā€‰=ā€‰30; Scale bar, 5Ā ĀµM

AC-202 can be used for multicolor fluorescence imaging

A problem encountered with BODIPY and Nile Red is that their fluorescence characteristics preclude their use with many known green and red fluorescent reporters such as GFP and RFP [41]. The spectral emission of AC-202 is from 410 to 490Ā nm, therefore it should be possible to use AC-202 simultaneously with other green and red reporters without interference. To test this idea, we stained nitrogen-starved cells with the green mitochondrial dye MitoTracker Green FM in combination with AC-202 (Fig.Ā 3). We also visualized chlorophyll autofluorescence in the red channel. As before, AC-202 labeled the lipid droplets in the nitrogen-starved cells. MitoTracker Green stained diffuse cellular structures similar to those observed previously [42]. Merging the three channels showed that the structures identified in each channel are distinct (Fig.Ā 3). This result indicates that AC-202 can be used for multicolor imaging in combination with green and red reporters and that it does not interfere with chlorophyll autofluorescence.

Fig.Ā 3
figure 3

Multicolor imaging of Chlamydomonas reinhardtii cells after nitrogen depletion. Fluorescence microscope images of cells grown under replete conditions (+Nitrogen, top) or without nitrogen (āˆ’Nitrogen, bottom) and co-stained with MitoTracker and AC-202 48Ā h after transfer on to the nitrogen-depleted medium. AC-202 and MitoTracker can be used to simultaneously label lipid droplets and mitochondria, respectively. Scale bar, 5Ā ĀµM

AC-202 labels lipid droplets induced by nitrogen starvation in the diatom Phaeodactylum tricornutum

In order to test whether AC-202 has the potential to be used for the visualization of lipid droplets in a wide range of microalgae, we tested AC-202 on the distantly related chromalveolate model diatom P. tricornutum. Like many algae, P. tricornutum accumulates lipid droplets under stress conditions, including nitrogen starvation [35]. Therefore, we cultivated P. tricornitum in medium with or without nitrogen for 72Ā h and then co-stained the cells with AC-202 and BODIPY to visualize lipid droplet accumulation. As expected, lipid droplets accumulated in cells were grown without nitrogen and were readily visible with both AC-202 and BODIPY (Fig.Ā 4b). The AC-202 and BODIPY fluorescence co-localized completely under nitrogen-starvation conditions (Fig.Ā 4c). The quantification of fluorescence intensities per cell showed that the signal for both fluorophores increases significantly in response to nitrogen deprivation (Fig.Ā 4d). However, as we also observed in C. reinhardtii, AC-202 showed a higher signal-to-background ratio than BODIPY. These results indicate that AC-202 can be used to visualize lipid droplets in the chromalveolate model diatom P. tricornutum with a higher sensitivity than BODIPY.

Fig.Ā 4
figure 4

BODIPY and AC-202 staining of lipid droplets in Phaeodactylum tricornutum cells under nitrogen depletion. a Brightfield images of cells grown under replete conditions (+Nitrogen, top) or without nitrogen (āˆ’Nitrogen, bottom) after 72Ā h. b Fluorescence microscope images of cells grown under replete conditions (+Nitrogen, top) or without nitrogen (āˆ’Nitrogen, bottom) and co-stained with BODIPY and AC-202. c Normalized fluorescence profile plot of the cell in (b) showing the co-localization of BODIPY and AC-202 fluorescence. d Total corrected cellular fluorescence was calculated for each fluorophore from cells grown under replete and nitrogen-starvation conditions after 72Ā h. Values are relative to the control condition (+Nitrogen). Averages shown,ā€‰Ā±ā€‰SE; ***Pā€‰<ā€‰0.001, Students t-test, nā€‰=ā€‰30; Scale bar, 5Ā ĀµM

Discussion

The use of lipid-specific dyes is a nondestructive, rapid, and semi-quantitative method to investigate the size, location, and dynamics of lipids droplets in living organisms. The two most used lipid dyes in microalgae are Nile Red and BODIPY [9]. Despite their important contribution to biofuel research on microalgae, these two dyes have some drawbacks including limited specificity to lipids (Nile Red), poor penetration into cells (Nile Red) and interference with chlorophyll autofluorescence (Nile Red) and green fluorophores (Nile Red and BODIPY). In this work, we tested the new blue fluorescent lipid dye AC-202 on the green algae C. reinhardtii and the model diatom P. tricornutum.

We show that AC-202 efficiently labels lipid droplets induced under nitrogen depletion in both C. reinhardtii and P. tricornutum, and in a manner very similar to BODIPY (Figs.Ā 1, 4). AC-202 can also be used to label lipid droplets induced by treatment with TOR inhibitor in C. reinhardtii (Fig.Ā 2). This indicates that AC-202 works well under different conditions of lipid droplet induction. Under all these conditions, AC-202 penetrated very well into algae cells indicating that it was not blocked by the membrane or cell wall of either algae, or by the silicified frustule of P. tricornutum. Quanti of the AC-202 signal indicated an increase of the total cellular fluorescence from 24Ā h of nitrogen depletion or treatment with the TOR inhibitor. Previous studies using direct GCā€“MS quantification show that an increase in TAG levels can be detected at 24Ā h under similar conditions, confirming the results that we obtained with AC-202 [16, 33, 38]. Likewise, N-depletion has been shown to cause a greater TAG increase than TOR inhibitor treatment, a phenomenon that we could also observe using AC-202 [16, 33]. Interestingly, under conditions of TOR inhibition, AC-202 fluorescence showed a quantitative difference at 24Ā h relative to the control while BODIPY did not. Along with the higher signal-to-background ratio, this result indicates that AC-202 is more sensitive than BODIPY, and that AC-202 fluorescence may also better reflect changes in TAG content. Indeed, a weak correlation between BODIPY fluorescence intensity and lipid content has previously been observed [24]. Thus, AC-202 may be a more useful tool for revealing subtle intracellular modifications in neutral lipid content. Finally, we have shown that in algae, and as predicted from its spectral emission characteristics, AC-202 does not interfere with red chlorophyll autofluorescence or with a green fluorescent dye (Fig.Ā 3). These results underline the potential for combining AC-202 staining with both green and red fluorophores or genetically encoded reporters for multicolor fluorescence imaging in microalgae.

Conclusions

Altogether, our data indicate that AC-202 is a robust and sensitive marker of lipid droplets that can be used for co-staining with red and green fluorophores in both green algae and diatoms. Thus, the use of AC-202 for labeling algal lipid droplets can resolve the major drawbacks that can be encountered with the fluorescent dyes that are currently used. We believe that AC-202 is therefore of great interest for the large community of researchers who are interested in the fundamental and applied aspects of neutral lipid accumulation in microalgae. For example, AC-202 could facilitate genetic or pharmacological approaches toward investigating the function of specific metabolic and signaling pathways involved in lipid droplet accumulation, be used for rapidly monitoring lipid production in an industrial setting, and has potential for use in the development of screens for algal suitable for biofuel production.

Abbreviations

BODIPY:

boron-dipyrromethene

TOR:

target of rapamycin

TAG:

triacylglycerol

GC-MS:

gas chromatography coupled to mass spectrometry

GFP:

green fluorescent protein

TAG:

triacylglycerol

LCā€“MS:

liquid chromatography coupled to mass spectrometry

RFP:

red fluorescent protein

EGFP:

enhanced green fluorescent protein

TAP:

tris-acetate-phosphate

TLC:

thin layer chromatography

References

  1. IEA. World energy outlook 2016. Paris: IEA; 2016.

    Google ScholarĀ 

  2. IPCC. Climate change 2014: synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change. Geneva: IPCC; 2014.

    Google ScholarĀ 

  3. Weyer KM, Bush DR, Darzins A, Willson BD. Theoretical maximum algal oil production. BioEnergy Res. 2010;3:204ā€“13.

    ArticleĀ  CASĀ  Google ScholarĀ 

  4. Melis A. Solar energy conversion efficiencies in photosynthesis: minimizing the chlorophyll antennae to maximize efficiency. Plant Sci. 2009;177:272ā€“80.

    ArticleĀ  CASĀ  Google ScholarĀ 

  5. Chisti Y. Biodiesel from microalgae beats bioethanol. Trends Biotechnol. 2008;26:126ā€“31.

    ArticleĀ  CASĀ  Google ScholarĀ 

  6. Shurin JB, Burkart MD, Mayfield SP, Smith VH. Recent progress and future challenges in algal biofuel production. F1000 Res. 2016. https://doi.org/10.12688/f1000research.9217.1.

    Google ScholarĀ 

  7. Goold H, Beisson F, Peltier G, Li-Beisson Y. Microalgal lipid droplets: composition, diversity, biogenesis and functions. Plant Cell Rep. 2015;34:545ā€“55.

    ArticleĀ  CASĀ  Google ScholarĀ 

  8. Challagulla V, Nayar S, Walsh K, Fabbro L. Advances in techniques for assessment of microalgal lipids. Crit Rev Biotechnol. 2017;37:566ā€“78.

    ArticleĀ  CASĀ  Google ScholarĀ 

  9. Rumin J, Bonnefond H, Saint-Jean B, Rouxel C, Sciandra A, Bernard O, Cadoret JP, Bougaran G. The use of fluorescent Nile Red and BODIPY for lipid measurement in microalgae. Biotechnol Biofuels. 2015;8:42.

    ArticleĀ  Google ScholarĀ 

  10. Brown WJ, Sullivan TR, Greenspan P. Nile Red staining of lysosomal phospholipid inclusions. Histochemistry. 1992;97:349ā€“54.

    ArticleĀ  CASĀ  Google ScholarĀ 

  11. Cirulis JT, Strasser BC, Scott JA, Ross GM. Optimization of staining conditions for microalgae with three lipophilic dyes to reduce precipitation and fluorescence variability. Cytometry A. 2012;81:618ā€“26.

    ArticleĀ  Google ScholarĀ 

  12. Ghoneim N. Photophysics of Nile Red in solution: steady state spectroscopy. Spectrochim Acta A. 2000;56:1003ā€“10.

    ArticleĀ  CASĀ  Google ScholarĀ 

  13. Greenspan P, Fowler SD. Spectrofluorometric studies of the lipid probe, Nile Red. J Lipid Res. 1985;26:781ā€“9.

    CASĀ  Google ScholarĀ 

  14. Oā€™Rourke EJ, Soukas AA, Carr CE, Ruvkun G. C. elegans major fats are stored in vesicles distinct from lysosome-related organelles. Cell Metab. 2009;10:430ā€“5.

    ArticleĀ  Google ScholarĀ 

  15. Chen W, Sommerfeld M, Hu Q. Microwave-assisted nile red method for in vivo quantification of neutral lipids in microalgae. Bioresour Technol. 2011;102:135ā€“41.

    ArticleĀ  CASĀ  Google ScholarĀ 

  16. Prioretti L, Avilan L, CarriĆØre F, MontanĆ© M-H, Field B, GrĆ©gori G, Menand B, Gontero B. The inhibition of TOR in the model diatom Phaeodactylum tricornutum promotes a get-fat growth regime. Algal Res. 2017;26:265ā€“74.

    ArticleĀ  Google ScholarĀ 

  17. Chen W, Zhang C, Song L, Sommerfeld M, Hu Q. A high throughput Nile Red method for quantitative measurement of neutral lipids in microalgae. J Microbiol Methods. 2009;77:41ā€“7.

    ArticleĀ  CASĀ  Google ScholarĀ 

  18. Doan T-TY, Obbard JP. Improved Nile Red staining of Nannochloropsis sp. J Appl Phycol. 2011;23:895ā€“901.

    ArticleĀ  CASĀ  Google ScholarĀ 

  19. Mendoza GuzmĆ”n H, de la Jara Valido A, Carmona Duarte L, Freijanes Presmanes K. Analysis of interspecific variation in relative fatty acid composition: use of flow cytometry to estimate unsaturation index and relative polyunsaturated fatty acid content in microalgae. J Appl Phycol. 2011;23:7ā€“15.

    ArticleĀ  Google ScholarĀ 

  20. Mutanda T, Ramesh D, Karthikeyan S, Kumari S, Anandraj A, Bux F. Bioprospecting for hyper-lipid producing microalgal strains for sustainable biofuel production. Bioresour Technol. 2011;102:57ā€“70.

    ArticleĀ  CASĀ  Google ScholarĀ 

  21. Pick U, Rachutin-Zalogin T. Kinetic anomalies in the interactions of Nile Red with microalgae. J Microbiol Methods. 2012;88:189ā€“96.

    ArticleĀ  CASĀ  Google ScholarĀ 

  22. 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;91:321ā€“8.

    ArticleĀ  CASĀ  Google ScholarĀ 

  23. Cooper MS, Hardin WR, Petersen TW, Cattolico RA. Visualizing ā€œgreen oilā€ in live algal cells. J Biosci Bioeng. 2010;109:198ā€“201.

    ArticleĀ  CASĀ  Google ScholarĀ 

  24. De la Hoz Siegler H, Ayidzoe W, Ben-Zvi A, Burrell RE, McCaffrey WC. Improving the reliability of fluorescence-based neutral lipid content measurements in microalgal cultures. Algal Res. 2012;1:176ā€“84.

    ArticleĀ  Google ScholarĀ 

  25. Spandl J, White DJ, Peychl J, Thiele C. Live cell multicolor imaging of lipid droplets with a new dye, LD540. Traffic. 2009;10:1579ā€“84.

    ArticleĀ  CASĀ  Google ScholarĀ 

  26. Park J, Na S, Lee Y, Lee S, Park S, Jeon N. Measurement of lipid droplet accumulation kinetics in Chlamydomonas reinhardtii using seoul-fluor. Energies. 2013;6:5703.

    ArticleĀ  Google ScholarĀ 

  27. Yang H-J, Hsu C-L, Yang J-Y, Yang WY. Monodansylpentane as a blue-fluorescent lipid-droplet marker for multi-color live-cell imaging. PLoS ONE. 2012;7:e32693.

    ArticleĀ  CASĀ  Google ScholarĀ 

  28. Gidda SK, Park S, Pyc M, Yurchenko O, Cai Y, Wu P, Andrews DW, Chapman KD, Dyer JM, Mullen RT. Lipid droplet-associated proteins (LDAPs) are required for the dynamic regulation of neutral lipid compartmentation in plant cells. Plant Physiol. 2016;170:2052ā€“71.

    ArticleĀ  CASĀ  Google ScholarĀ 

  29. Kuntam S, Puskas LG, Ayaydin F. Characterization of a new class of blue-fluorescent lipid droplet markers for live-cell imaging in plants. Plant Cell Rep. 2015;34:655ā€“65.

    ArticleĀ  CASĀ  Google ScholarĀ 

  30. Puskas LG, Feher LZ, Vizler C, Ayaydin F, Raso E, Molnar E, Magyary I, Kanizsai I, Gyuris M, Madacsi R, et al. Polyunsaturated fatty acids synergize with lipid droplet binding thalidomide analogs to induce oxidative stress in cancer cells. Lipids Health Dis. 2010;9:56.

    ArticleĀ  Google ScholarĀ 

  31. Harris E. The Chlamydomonas sourcebook: a comprehensive guide to biology and laboratory use. San Diego: Academic Press; 1989.

    Google ScholarĀ 

  32. Imamura S, Kanesaki Y, Ohnuma M, Inouye T, Sekine Y, Fujiwara T, Kuroiwa T, Tanaka K. R2R3-type MYB transcription factor, CmMYB1, is a central nitrogen assimilation regulator in Cyanidioschyzon merolae. Proc Natl Acad Sci USA. 2009;106:12548ā€“53.

    ArticleĀ  CASĀ  Google ScholarĀ 

  33. Imamura S, Kawase Y, Kobayashi I, Shimojima M, Ohta H, Tanaka K. TOR (target of rapamycin) is a key regulator of triacylglycerol accumulation in microalgae. Plant Signal Behav. 2016;11:e1149285.

    ArticleĀ  Google ScholarĀ 

  34. Guillard RRL. Culture of phytoplankton for feeding marine invertebrates. In: Smith WL, Chanley MH, editors. Culture of marine invertebrate animals: proceedingsā€”1st conference on culture of marine invertebrate animals greenport. Boston: Springer; 1975. p. 29ā€“60.

    ChapterĀ  Google ScholarĀ 

  35. Alipanah L, Rohloff J, Winge P, Bones AM, Brembu T. Whole-cell response to nitrogen deprivation in the diatom Phaeodactylum tricornutum. J Exp Bot. 2015;66:6281ā€“96.

    ArticleĀ  CASĀ  Google ScholarĀ 

  36. Griffiths MJ, Harrison STL. Lipid productivity as a key characteristic for choosing algal species for biodiesel production. J Appl Phycol. 2009;21:493ā€“507.

    ArticleĀ  CASĀ  Google ScholarĀ 

  37. Bromke MA, Sabir JS, Alfassi FA, Hajarah NH, Kabli SA, Al-Malki AL, Ashworth MP, Meret M, Jansen RK, Willmitzer L. Metabolomic profiling of 13 diatom cultures and their adaptation to nitrate-limited growth conditions. PLoS ONE. 2015;10:e0138965.

    ArticleĀ  Google ScholarĀ 

  38. Imamura S, Kawase Y, Kobayashi I, Sone T, Era A, Miyagishima SY, Shimojima M, Ohta H, Tanaka K. Target of rapamycin (TOR) plays a critical role in triacylglycerol accumulation in microalgae. Plant Mol Biol. 2015;89:309ā€“18.

    ArticleĀ  CASĀ  Google ScholarĀ 

  39. Mukaida S, Ogawa T, Ohishi K, Tanizawa Y, Ohta D, Arita M. The effect of rapamycin on biodiesel-producing protist Euglena gracilis. Biosci Biotechnol Biochem. 2016;80:1223ā€“9.

    ArticleĀ  CASĀ  Google ScholarĀ 

  40. PĆ©rez-PĆ©rez M, Couso I, Crespo J. The TOR signaling network in the model unicellular green alga Chlamydomonas reinhardtii. Biomolecules. 2017;7:54.

    ArticleĀ  Google ScholarĀ 

  41. Miquel M, Trigui G, dā€™Andrea S, Kelemen Z, Baud S, Berger A, Deruyffelaere C, Trubuil A, Lepiniec L, Dubreucq B. Specialization of oleosins in oil body dynamics during seed development in Arabidopsis seeds. Plant Physiol. 2014;164:1866ā€“78.

    ArticleĀ  CASĀ  Google ScholarĀ 

  42. Hayashi Y, Shinozaki A. Visualization of microbodies in Chlamydomonas reinhardtii. J Plant Res. 2012;125:579ā€“86.

    ArticleĀ  CASĀ  Google ScholarĀ 

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Authorsā€™ contributions

SH, BF, and BM designed the experiments. SH performed the experiments. SH, BF, and BM wrote the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We thank Lazlo Puskas (AVICOR Ltd, Hungary) for providing AC-202, Ariane Atteia for Chlamydomonas reinhardtii CC4533 strain, and Brigitte Gontero for Phaeodactylum tricornutum. Microscopy was performed at the IBDML optical imaging facility.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding authors on reasonable request.

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Not applicable.

Ethics approval and consent to participate

Not applicable.

Funding

SH was funded by the CEA Irtelis Ph.D. program. The project was supported by ANR SIGNAUXBIONRJ (ANR-15-CE05-0021-03) and France BioImaging Infrastructure (ANR-10-INBS-04-01 Investments for the future).

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Correspondence to Ben Field or BenoƮt Menand.

Additional files

Additional file 1.

BODIPY has a higher cytoplasmic background signal than AC-202 under nitrogen replete conditions. (a) Fluorescence microscope images of a cell (from Fig.Ā 1b) under nitrogen replete conditions after 48Ā h. (b) A normalized fluorescence profile plot of the cell shows a higher cytoplasmic background for BODIPY compared to AC-202. Scale bar, 5Ā ĀµM.

Additional file 2.

Quantification of total corrected cellular fluorescence under single and co-staining conditions for BODIPY and AC-202. (a) Fluorescence microscope images of C. reinhardtii cells transferred to media without nitrogen after 48Ā h and stained with BODIPY and AC-202. (b) Total corrected cellular fluorescence was calculated for each fluorophore from cells grown under nitrogen starvation conditions after 48Ā h. Averages shown,ā€‰Ā±ā€‰SE; **Pā€‰<ā€‰0.01, Student t test, nā€‰=ā€‰30 cells; Scale bar, 5Ā ĀµM.

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Harchouni, S., Field, B. & Menand, B. AC-202, a highly effective fluorophore for the visualization of lipid droplets in green algae and diatoms. Biotechnol Biofuels 11, 120 (2018). https://doi.org/10.1186/s13068-018-1117-9

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