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The synchronous TAG production with the growth by the expression of chloroplast transit peptide-fused ScPDAT in Chlamydomonas reinhardtii

Contributed equally
Biotechnology for Biofuels201811:156

https://doi.org/10.1186/s13068-018-1160-6

  • Received: 17 March 2018
  • Accepted: 31 May 2018
  • Published:

Abstract

Background

The synchronous triacylglycerol (TAG) production with the growth is a key step to lower the cost of the microalgae-based biofuel production. Phospholipid: diacylglycerol acyltransferase (PDAT) has been identified recently and catalyzes the phospholipid contributing acyl group to diacylglycerol to synthesize TAG, and is considered as the important source of TAG in Chlamydomonas reinhardtii.

Results

Using a chimeric Hsp70A–RbcS2 promoter, exogenous PDAT form Saccharomyces cerevisiae fused with a chloroplast transit peptide was expressed in C. reinhardtii CC-137. Proved by western blot, the expression of ScPDAT showed a synchronous trend to the growth in the exponential phase. Compared to the wild type, the strain of Scpdat achieved 22% increase in the content of total fatty acids and 32% increase in TAG content. In addition, the fluctuation of C16 series fatty acid in monogalactosyldiacylglycerol, diacylglyceryltrimethylhomoserine and TAG indicated an enhancement in the TAG accumulation pathway.

Conclusion

The TAG production was enhanced in the regular cultivation without the nutrient stress by strengthening the conversion of polar lipid to TAG in C. reinhardtii and the findings provide a candidate strategy for rational engineered strain to overcome the decline in the growth during the TAG accumulation triggered by nitrogen starvation.

Keywords

  • Phospholipid: diacylglycerol acyltransferase
  • PDAT
  • Synchronous TAG production
  • Chlamydomonas reinhardtii
  • Lipid

Background

As a promising source of biodiesel, microalgae have also been a good model to investigate the biological process of triacylglycerol (TAG) production [1]. Aiming to harvest more TAG, stress conditions were normally applied in the cultivation of microalgae. However, the overall TAG productivity was limited due to the inhibition of the growth under the stress conditions, especially nutrient depletion conditions. Even numerous trials have been carried out; it is still far from success to achieve the synchronized TAG production with cell growth, which is generally considered as an essential feature of the ideal strategy for economical TAG production.

To improve the TAG production, besides the engineering approach, another way is to modify fatty acids and lipids’ metabolism flux relating to TAG synthesis by molecular biological methods, e.g., mutating key enzymes, reducing or increasing the expression and introducing exogenous genes. Till now, widely concerned targets include the genes of acyltransferases such as glycerol-3-phosphate acyltransferase (GPAT, EC 2.3.1.15), lysophosphatidic acid acyltransferase (LPAAT, EC 2.3.1.51), acyltransferase: diacylglycerol acyltransferase (DGAT, EC 2.3.1.20) [26] and the phospholipid: diacylglycerol acyltransferase (PDAT, EC 2.3.1.158) [1]. Among the above acyltransferases, PDAT was the only non-CoA-dependent acyltransferase synthesized using phospholipid acyl as donor, which was first identified in the castor by Anders and his colleagues in 2000 [7]. Before that, DGAT was considered the only enzyme that synthesizes TAG from DAG [8] and the acyl-CoA was an essential in the synthesis process.

Based on the discovery of PDAT, more researchers are focusing on the conversion of polar lipids to TAG, and the role of PDAT during the TAG production (Table 1). For instance, Zhang et al. [9] reported that PDAT1 is essential for normal pollen and seed development in Arabidopsis. In microalgae, the first PDAT was identified in C. reinhardtii (CrPDAT) and was reported with broader substrate specificity and distinct lipase functions by Yoon et al. [10]. CrPDAT not only hydrolyzes glycolipids, phospholipids and TAG, but also hydrolyzes cholesterol esters [similar to lecithin–cholesterol acyltransferase’s (LCAT) function] with a preference to use anionic phospholipids (PA/PS/PI/PG) as the acyl donor in vitro [10]. On the contrast, PDATs of other species, including LuPDAT/ScPDAT/AtPDAT, are more likely to utilize cationic phospholipids (PC/PE) as acyl donors [1, 11, 12]. However, the preference of PDAT to diacylglyceryltrimethylhomoserine (DGTS) as the donor, which is the replacement of PC in C. reinhardtii, has not been known by far.
Table 1

A functional study of PDAT derived from different species

Gene

Origin

Research

Conclusion

References

CrPDAT

Chlamydomonas reinhardtii

Utilizing RNA-Seq insert mutants

Artificial microRNA silencing of PDAT

Demonstrating the relevance of the transacylation pathway

CrPDAT possesses acyl hydrolase activities, mediated membrane lipid turnover and degradation

[13]

[10]

ScPDAT

Saccharomyces cerevisiae

Lacking the predicted membrane-spanning region of ScPDAT expressed in Pichia pastoris

ScPDAT can catalyze a number of transacylation reactions at a low rate

[11]

AtPDAT

Arabidopsis

Exploring role of enzymes in TAG synthesis by RNA interference

Over-expression of AtPDAT in microsomal preparations of roots and leaves

Coexpression of PDAT1 with oleosin

Disruption of SDP1 TAG lipase or PXA1 severely decreases FA turnover, leading to increases in leaf TAG accumulation

The velocity of AtPDAT dependent on acyl composition

Enhancing fatty acid synthesis and diverting fatty acids from membrane lipids to triacylglycerol

Over-expression of PDAT1 enhances the turnover of FAs in leaf lipids

[9]

[12]

[14]

[15]

LuPDAT

Linum usitatissimum L.

Over-expression of LuPDAT genes in yeast and Arabidopsis

Certain PDATs have the unique ability to efficiently channel ALA into TAG

[16]

MiPDAT

Myrmecia incisa Reisigl

Over-expression of MiPDAT and increase transcription levels in M. incisa

The mechanism is discussed that MiPDAT in this microalgal uses PC to yield TAG

[1]

While comparing the sequence of PADT in C reinhardtii CC-137 to the other PADTs’, a high similarity between PDAT from Saccharomyces cerevisiae (ScPDAT) and CrPDAT was shown with 35% similarity [10]. The major difference of CrPDAT to ScPDAT lies in the existence of two unique gap regions, GAP1 (570–700) with 14 consecutive SG repeats (black underlined in Fig. 1), GAP2 (840–930) with 30 amino acid residues A and 13 G (dotted line in Fig. 1). However, the function of these gaps is unknown. Setting aside gaps, ScPDAT shares more than 40% similarity to CrPDAT (Additional file 1: Figure S1). Based on the alignment analysis, ScPDAT can be considered as a CrPDAT without gaps and may act instead of CrPDAT while over-expressed in C. reinhardtii to inspect its function as acyltransferase.
Fig. 1
Fig. 1

The sequence alignment of de-gapped CrPDAT and ScPDAT. The protein sequences of CrPDAT (GenBank: AFB73928) without gap1 and gap2 regions and ScPDAT (GenBank: NM_001183185) were aligned by Clustalw2 and Espript 3.0 software

To explore the role of PDAT during the TAG accumulation, ScPDAT was used and over-expressed in C. reinhardtii. Especially, taking into consideration that CrPDAT is located in the chloroplast of C. reinhardtii; the chloroplast transit peptide (cTP) of CrPDAT was fused in the front of ScPDAT. Here we started from the over-expression of cTP-fused ScPDAT in C. reinhardtii CC-137 and inspected the difference between engineered strain and wild type, on the effects on the accumulation of the lipids and fatty acid profile. The results will be helpful in understanding PDAT’s bio-functions and contribute to the theoretical foundation of TAG production in microalgae.

Results and discussion

Verification of ScPDAT sequence and transformants

The ScPDAT and a pChlamy vectors were integrated by RF cloning to construct the pChlamy–ScPDAT recombinant plasmid. The results are shown in supplementary materials (Additional file 2: Figure S2A). After cloned into Escherichia coli DH5α, the plasmid was sequenced and verified as the design (Fig. 2a).
Fig. 2
Fig. 2

The construction and effects of exogenous ScPDAT. a The map of pChlamy–ScPDAT plasmid. PUCori: (high-copy replication and growth in E. coli, 673 bp), Hsp70A–RbcS2 (a hybrid constitutive promoter, 495 bp), Int-1 Rbc S2 (maintains the high expression of ScPDAT, 144 bp), β2-tubulin (drives the expression of Aph7 gene, 312 bp), Hygromycin (selection of C. reinhardtii, 1310 bp), Ampicillin (selection of the plasmid in E. coli, 860 bp), Pbla (expression of the ampicillin resistance gene, 51 bp). b Western blot of ScPDAT in Scpdat, the growth curve of wild type and Scpdat. Cells sampled during a 5-day culture cycle and grown in TAP medium. Each type of algae takes three bottles a day and does not put them back. Shown are mean values and SD; n = 3. Assay conditions are described in “Methods”. c The chlorophyll fluorescence of wild type and Scpdat. Shown are mean values and SD; n = 3. Assay conditions are described in “Methods

After electroporated into C. reinhardtii CC-137, the transformants of pChlamy–ScPDAT were selected and verified by direct PCR amplification (Additional file 2: Figure S2B). Randomly, nine positive clones were inoculated into 100-mL shake flasks and no obvious difference in the growth was observed and one strain was selected and named as Scpadt for the further investigation.

The growth and chlorophyll fluorescence variation of Scpadt

The growth and Fv/Fm in Scpdat was monitored and compared with those of the wide type (WT). Scpdat showed a slow initial growth on the first day (Fig. 2b), together with a relatively lower Fv/Fm (Fig. 2c). Then the growth turned into the exponential phase till the fourth day and achieved the same final OD750 as WT. There was also no significant difference in the final biomass, about 0.80 g/mL (dry weight).

For Fv/Fm, both WT and Scpdat showed a slight decrease at the beginning of the exponential phase, in the first and second day, respectively, and Scpdat decreased more than WT. Then both strains recovered and kept the similar trend while Scpdat remained 0.1–0.2 unit lower than WT.

Expression of ScPDAT in Scpadt

The expression during the above 5 day’s cultivation was monitored by western blot and GAPDH was used as the control. The expression of ScPDAT changed significantly during the cultivation. The protein expression reached to the peak on the third day, and then fell down to a stable level (Fig. 2b). It is notable that the expression of ScPDAT increased consistently with the growth within the exponential phase (Fig. 2b).

Fatty acid profile and total lipid content

The aim of the introducing of ScPDAT is to promote the synthesis of TAG. Both the FA profile and content were compared between Scpdat and WT. The total lipid contents were calculated by the sum of FAs after trans-esterification and GC quantification. The content of FAs in two strains was compared and is shown in Fig. 3a, and FA profile variation from the inoculation to day 4 are shown in Table 2. The results showed that Scpadt produced 23% more FAs than WT.
Fig. 3
Fig. 3

The effects on FAs of Scpdat. a The total lipid content in dry weight of the wild type and Scpdat. During the culture period of 0–4 days, the left and right columns in each day represent the wild type and Scpdat, respectively. Dates are shown as * and ** denote significant difference (p < 0.05) and extremely significant difference (p < 0.01), respectively. b The contents of SFA, MUFA and PUFA in wild type and Scpdat. The fatty acids of wild type and Scpdat were classified into three categories: SFA, MUFA, PUFA, and compared with the content for each kind of fatty acid, respectively. Dates are shown as * and ** denote significant difference (p < 0.05) and extremely significant difference (p < 0.01), respectively

Table 2

Fatty acid composition of wild type and Scpdat

Time (day)/FA profiling (%)

0

1

2

3

4

WT

Scpdat

WT

Scpdat

WT

Scpdat

WT

Scpdat

WT

Scpdat

C16:0

22.9 ± 0.8

21.0 ± 0.7

31.2 ± 4.6

26.0 ± 2.6

20.0 ± 0.2

21.6 ± 2.6

21.4 ± 0.5

19.2 ± 0.4

21.7 ± 1.1

20.5 ± 1.0

C18:0

2.2 ± 0.6

1.7 ± 0.3

4.8 ± 0.0

3.6 ± 0.6

2.5 ± 0.2

2.1 ± 0.3

2.4 ± 0.0

1.7 ± 0.3

2.2 ± 0.1

2.1 ± 0.5

C16:1n9

7.2 ± 0.6

5.8 ± 0.1

0.8 ± 0.6

1.2 ± 0.5

7.3 ± 0.3

2.4 ± 3.1

6.7 ± 0.6

7.2 ± 0.9

6.4 ± 0.4

5.9 ± 1.1

C16:1n7

4.6 ± 1.8

3.8 ± 1.3

3.6 ± 0.9

3.0 ± 0.9

6.1 ± 0.3

3.0 ± 1.1

4.0 ± 1.5

3.7 ± 1.0

3.7 ± 1.2

3.9 ± 1.6

C18:1n9

1.0 ± 0.0

1.0 ± 0.5

1.7 ± 1.5

2.1 ± 0.5

1.9 ± 0.1

0.6 ± 0.5

2.9 ± 0.9

1.2 ± 0.5

1.9 ± 0.5

1.0 ± 0.1

C18:1n7

7.6 ± 0.7

6.3 ± 0.2

5.0 ± 2.1

4.9 ± 1.8

6.7 ± 0.1

3.9 ± 1.0

5.7 ± 0.8

4.6 ± 0.4

7.1 ± 0.9

5.0 ± 0.5

C16:2n6

2.4 ± 0.1

1.4 ± 0.2

1.4 ± 0.0

1.2 ± 0.1

1.8 ± 0.0

1.3 ± 0.3

2.4 ± 0.1

2.1 ± 0.1

2.5 ± 0.1

1.6 ± 0.2

C18:2n6

7.8 ± 0.6

5.0 ± 0.2

8.6 ± 0.2

9.6 ± 0.7

8.6 ± 0.5

8.1 ± 1.1

10.2 ± 0.8

9.8 ± 0.5

8.9 ± 0.0

6.7 ± 0.7

C16:3n6

1.5 ± 0.1

2.3 ± 0.0

1.0 ± 0.2

1.3 ± 0.2

1.3 ± 0.2

1.6 ± 0.0

1.8 ± 0.1

2.2 ± 0.1

1.6 ± 0.0

2.1 ± 0.1

C16:3n3

2.1 ± 0.9

1.5 ± 0.3

1.6 ± 0.1

2.3 ± 0.5

2.8 ± 0.3

2.4 ± 0.1

1.5 ± 0.8

1.7 ± 0.1

1.6 ± 0.9

1.5 ± 0.2

C18:3n6

7.2 ± 0.1

7.7 ± 0.4

6.2 ± 0.3

5.8 ± 1.1

7.4 ± 0.2

6.5 ± 0.7

6.8 ± 0.3

7.2 ± 0.2

7.5 ± 0.7

7.1 ± 0.1

C18:3n3

20.7 ± 1.8

25.2 ± 1.0

22.5 ± 0.9

25.3 ± 1.9

19.6 ± 0.5

28.8 ± 1.4

20.4 ± 1.5

23.0 ± 1.1

21.2 ± 2.7

24.9 ± 1.3

C16:4n3

10.3 ± 0.2

14.3 ± 0.6

9.9 ± 1.0

11.6 ± 1.5

11.0 ± 0.1

15.8 ± 0.2

11.5 ± 0.4

14.4 ± 0.6

11.7 ± 1.4

15.1 ± 0.3

C18:4n3

2.4 ± 0.5

2.8 ± 0.1

1.6 ± 1.2

2.2 ± 0.4

3.0 ± 0.1

1.9 ± 0.8

2.2 ± 0.5

2.1 ± 0.2

2.0 ± 0.3

2.6 ± 0.3

Date are shown as means \( \bar{x} \) ± SD (n = 3); It is indicated that during the culture period of 0–4 days; Data of fatty acids were the percentage of peak area

The contents of saturated fatty acids (SFA), monounsaturated fatty acids (MUFA) and polyunsaturated fatty acids (PUFA) in WT and Scpdat are shown in Fig. 3b. Comparing both strains, there was no significant difference in the content of MSFA. However, the highly significant difference (p < 0.01) existed in PUFA between Scpdat and wild type. In fact, PUFA accounted for 83% increase of TFA from Scpdat to WT. Besides, significant difference (p < 0.05) also existed in SFA content.

To inspect the contribution of different lipids to the increased TFA, the samples of day 3 were used to make a detailed FA analysis based on the separation of lipids by TLC. According to the character of lipid construction of C. reinhardtii, five types of lipids were analyzed, including sulfoquinovosyldiacylglycerol (SQDG), digalactosyldiacylglycerol (DGDG), monogalactosyldiacylglycerol (MGDG), diacylglyceroltrimethyhomoserine (DGTS), and TAG. The content of above lipids is shown in Fig. 4a and the FA content in each lipid is listed in Table 3. Scpdat owned significant higher amount of SQDG, DGTS and TAG (p < 0.01) than WT and 32% increase of TAG was achieved in Scpdat.
Fig. 4
Fig. 4

The effects on lipids of Scpdat. a. The contents of lipids in wild type and Scpdat. The main five esters (SQDG, MGDG, DGDG, DGTS, and TAG) were isolated by TLC method. Date are shown as * and ** denote significant difference (p < 0.05) and extremely significant difference (p < 0.01), respectively. b The contents of fatty acids with significant difference of SQDG, MGDG, DGDG, DGTS and TAG. The graph is summarized by GC analysis of five kinds of esters, and the left and right columns in each ester represent the wild type and Scpdat, respectively. Dates are shown as ** denote extremely significant difference (p < 0.01)

Table 3

Fatty acid composition of SQDG, DGDG, DGTS, MGDG and TAG in wild type and Scpdat

Time (day)/FA profiling (%)

MGDG

DGTS

SQDG

DGDG

TAG

WT

Scpdat

WT

Scpdat

WT

Scpdat

WT

Scpdat

WT

Scpdat

C16:0

0.63 ± 0.00

0.27 ± 0.01

0.44 ± 0.01

0.82 ± 0.00

0.36 ± 0.01

0.47 ± 0.00

0.15 ± 0.01

0.23 ± 0.01

0.38 ± 0.00

0.36 ± 0.00

C16:1n9

0.04 ± 0.00

0.02 ± 0.00

0.02 ± 0.00

0.05 ± 0.00

0.01 ± 0.00

0.01 ± 0.00

0.01 ± 0.00

0.01 ± 0.00

0.76 ± 0.00

0.87 ± 0.01

C16:1n7

0.11 ± 0.00

0.04 ± 0.00

0.03 ± 0.00

0.03 ± 0.00

0.03 ± 0.01

0.03 ± 0.01

0.02 ± 0.00

0.02 ± 0.00

0.09 ± 0.01

0.08 ± 0.01

C16:2n6

0.12 ± 0.00

0.05 ± 0.01

0.07 ± 0.00

0.16 ± 0.00

0.01 ± 0.02

0.03 ± 0.01

0.01 ± 0.01

0.01 ± 0.01

0.05 ± 0.02

0.04 ± 0.02

C16:3n6

0.11 ± 0.00

0.11 ± 0.00

0.00 ± 0.00

0.01 ± 0.00

0.01 ± 0.01

0.03 ± 0.00

0.00 ± 0.00

0.00 ± 0.00

0.04 ± 0.00

0.09 ± 0.00

C16:3n3

0.06 ± 0.01

0.04 ± 0.00

0.03 ± 0.00

0.10 ± 0.00

0.01 ± 0.01

0.02 ± 0.00

0.00 ± 0.00

0.00 ± 0.00

0.02 ± 0.00

0.03 ± 0.01

C16:4n3

0.59 ± 0.00

0.69 ± 0.01

0.02 ± 0.00

0.06 ± 0.00

0.04 ± 0.01

0.20 ± 0.00

0.01 ± 0.01

0.00 ± 0.01

0.37 ± 0.00

0.77 ± 0.00

C18:0

0.14 ± 0.00

0.10 ± 0.00

0.03 ± 0.01

0.06 ± 0.00

0.04 ± 0.01

0.04 ± 0.01

0.03 ± 0.00

0.04 ± 0.00

0.19 ± 0.00

0.21 ± 0.00

C18:1n9

0.17 ± 0.00

0.12 ± 0.00

0.10 ± 0.00

0.17 ± 0.00

0.06 ± 0.01

0.06 ± 0.01

0.06 ± 0.01

0.05 ± 0.01

0.12 ± 0.00

0.13 ± 0.00

C18:1n7

0.17 ± 0.00

0.09 ± 0.00

0.09 ± 0.00

0.14 ± 0.00

0.04 ± 0.00

0.04 ± 0.01

0.02 ± 0.00

0.03 ± 0.01

0.13 ± 0.00

0.12 ± 0.00

C18:2n6

0.53 ± 0.00

0.46 ± 0.00

0.18 ± 0.00

0.41 ± 0.00

0.04 ± 0.01

0.07 ± 0.01

0.04 ± 0.00

0.07 ± 0.01

0.20 ± 0.01

0.25 ± 0.01

C18:3n6

0.23 ± 0.00

0.13 ± 0.00

0.10 ± 0.00

0.18 ± 0.00

0.04 ± 0.01

0.03 ± 0.01

0.03 ± 0.01

0.07 ± 0.01

0.23 ± 0.00

0.31 ± 0.00

C18:3n3

1.36 ± 0.00

1.65 ± 0.00

0.17 ± 0.00

0.48 ± 0.00

0.06 ± 0.01

0.09 ± 0.00

0.03 ± 0.01

0.07 ± 0.00

0.39 ± 0.00

0.64 ± 0.00

C18:4n3

0.17 ± 0.02

0.10 ± 0.02

0.08 ± 0.02

0.11 ± 0.01

0.04 ± 0.01

0.04 ± 0.01

0.05 ± 0.01

0.05 ± 0.02

0.09 ± 0.01

0.15 ± 0.01

Date are shown as means \( \bar{x} \)  ± SD (n = 3). Sample of wild type and Scpdat were cultured at the 3rd day. Data of fatty acids were the percentage of DW

In terms of FAs shown in Fig. 4b, the PUFAs in SQDG (C16:4n3), DGDG (C18:3n3 and C18:3n6), DGTS (C16:2n6, C16:3n3, C16:4n3 and C18:3n6) and TAG (C16:3n6 and C16:4n3) of Scpdat were highly significantly (p < 0.01) increased, and contributed to the increase of TFA. On the contrast, the major C16 series FAs highly significantly (p < 0.01) decreased in MGDG of Scpdat and only C18:2n6 increased (p < 0.01).

Discussion

The synchronization of the growth and TAG is an ideal route for the sustainable production of biofuels; however, the conflict between the growth and energy storage compound’s accumulation is endogenous. As a redundant system, the reassembly of the biomass to retard the impact of stress remains in the nature of the cell. So, there were few successes in the establishment of engineered microalgae strains by way of enhancing the expression of enzymes involving in biosynthesis of FAs or lipids, e.g., acetyl-CoA carboxylases (ACCases), whose over-expression did not promote the simultaneous improvement of TAG with the growth [17, 18], or by modification of expression regulation, e.g., by transcription factors or promoters [19].

The chimeric promoter Hsp70-RBCS2 has been proved as a good promoter for the exogenous gene expression in the microalgae cells targeting to the high expression [20, 21]. The high temperature, higher than 35 °C, is commonly used to induce the expression with the aid of Hsp70 promoter [20, 22, 23]. It is interesting here that under the convenient temperature, 25 °C, the expression of the chimeric ScPDAT consisted to the growth, and with a slight effect to the growth, 22% increase in total fatty acid and 32% increase in TAG was obtained. The effects on FAs were also inspected under nitrogen-absent cultivation (unpublished data); however, the enhancement of FAs was only shown within the first 24 h, 10% increase (percentage of DW) in Scpdat and 10% decrease in WT. It is postulated that CC-137 mainly accumulates starch under the beginning of nitrogen-absent conditions, and the effect of ScPDAT on FAs was masked by significant changes in overall carbon flux.

The significantly increased FAs in TAG were two C16 species, C16:3n6 and C16:4n3, which were all prokaryotic FAs in chloroplast, while the significantly decrease FAs in MGDG were also C16 FAs. CrPDAT has been shown with a strong in vitro activity to utilize MGDG as the acyl donor to synthesize TAG, and mediates the chloroplast membrane turnover and degradation [10]. It is reasonable to postulate that exogenous ScPDAT, with high similarity to CrPDAT, converted the MGDG in the chloroplast directly to TAG on a certain degree. This conversion of MGDG caused sequential decrease in the photosynthesis ability indicated by the decrease of Fv/Fm.

Furthermore, C16:4n3 and C18:3n3 were two chloroplast biomarker FAs, which were mostly existing in the chloroplast [24], and were also the major contributors to the increased lipid content. Combining Fv/Fm changes and FAs profile changes in different lipids (Fig. 4b, Additional file 3: Figure S3), especially those of C16 series FAs, it can be postulated that exogenous ScPDAT mainly affected the FA and lipid metabolism in chloroplast, with the help of CrPDAT’s cTP. However, the chloroplast location of cTP-fused ScPDAT needs more direct proofs, and it will be carried out by way of fluorescence protein labeling as Yang et al. [25] or Mori et al.’s [26] reports.

It is interesting that the exogenous ScPDAT showed a growth-related expression monitored by western blot. The similar pattern was also found in the expression of endogenous chloroplast glyceraldehyde-3-phosphate dehydrogenase (GAP3, chloroplast GAPDH of C. reinhardtii, phytozome: Cre01.g010900.t1.2) (data were not shown here). The regulation of Hsp70-RBCS2 promoter-driven expression has already reported to be manipulated on both transcription and RNA silence levels. Because both ScPDAT and GAP3 were expressed with cTPs, whether the growth-related expression is the interaction between cTPs and Hsp70-RBCS2 promoter will be further studied and verified on both transcript and protein levels. The understanding of the expression regulation will contribute to the rational design of microalgae based expression system.

Conclusion

A CrPDAT cTP-fused ScPDAT in the upstream was constructed in the pChlamy vector and the transformants of C. reinhardtii CC-137 were screened by hygromycin B and PCR verification. On the growth, Scpdat showed a slow initial growth, but recovered quick and reached to the same final level as WT, while a slight decrease of Fv/Fm, was also observed during the cultivation. The result of western blot disclosed that the abundance of ScPDAT protein changed with the growth, which reached to the peak during the exponential growth phase. Both the fatty acid profile and lipid content analysis showed that the total fatty acid and TAG accumulation in Scpdat increased by 22 and 32%, respectively. The shift of chloroplast lipids metabolism was considered as the reason for the delay of the initial growth and the decrease in Fv/Fm. In summary, this report showed a simultaneous product of both lipid and biomass without stress induction, and will be a potential solution for the biofuel production in the future.

Methods

Microalgal strain and growth conditions

Microalgal strain C. reinhardtii CC-137 was obtained from the Chlamydomonas Resource Center with the ID of CC-137. Microalgae were grown as batch cultures in flasks with tris acetate phosphate (TAP) media. Cultures in liquid medium or on the plate were grown at 25 ± 1 °C in an artificial climate incubator, under a 24-h light photoperiod provided by cool white fluorescence light with 50-μmol photons m−2 s−1 irradiance. For liquid culture, 100-mL culture was incubated in 250-mL conical flasks.

Gene cloning and analysis of ScPDAT

Fused with 279 bp transmembrane signal peptide from CrPDAT (chloroplast transit peptide), 1953 bp coding region of ScPDAT was cloned into the pChlamy expression vector (GeneArt® Chlamydomonas TOPO® Engineering Kits, Invitrogen) through the RF cloning method [27] as following: ScPDAT (6 nM), pChlamy vector plasmid (300 pM), HS DNA premixed polymerase (Takara). The products of RF cloning were transformed into DH5α cell. The pChlamy–ScPDAT plasmid was sequenced (Fig. 2) by Takara for verification.

Transformation of pChlamy–ScPDAT into microalgae

The recombinant plasmid pChlamy–ScPDAT was electroporated into microalgae using a Bio-Rad apparatus, following the kit’s protocol. Specifically, after linearized by pvuI restriction enzyme (Takara), 2–3 µg pChlamy–ScPDAT and the same volume deionized water as a comparison were used per electroporation.

Selecting the engineered microalgae

The transformed algal cells in the 6-well plate were harvested and cultured into the solid selection medium supplemented with 10-μg/mL hygromycin (Invitrogen). The surviving colonies were picked up and grown in liquid medium with hygromycin B and subcultured every week. To preclude the impact of hygromycin in engineered microalgae, cells were cultured in TAP medium without hygromycin for three culture cycles prior to biochemical and molecular analyses and PCR verification of transgene was performed before further cultivation using universal primers of the pChlamy vector and specific primers of ScPDAT, respectively.

Western blot test of the expression of ScPDAT

To examine the expression of ScPDAT protein in the engineered microalgae, western blot analysis was performed. The anti-His antibody (ABclonal) was used to detect the ScPDAT proteins. Briefly, 50 mL cultivation of cells was collected by centrifuge at 4 °C, 10,000g for 5 min. After removal of the supernatant, cells were frozen in liquid nitrogen, and stored in − 80 °C refrigerator.

Before the lysis of cells, 20–30 mL of ethanol per sample was used to extract the algae pigment following a centrifuge at 4 °C, 10,000g for 5 min. Then cells were washed by cold deionized water twice to remove ethanol. Adding 1 mL of lysis buffer (50 mM Tris–HCl, pH 7.5, 0.15 M NaCl, 1 mM EDTA, 1% NP-40, 10% glycerol, and 1 mM phenylmethylsulfonyl fluoride-PMSF and complete protease inhibitor cocktails) per sample and performed further lysis process on ice [28].

The algal cells were disrupted on a tissue disintegrator (SCIENTZ-48) and placed on ice for 1–2 h. After centrifugation at 12,000g for 20 min, the supernatant was assayed for protein concentration. Uniform protein content was applied to SDS-PAGE electrophoresis. An aliquot of 25 μg protein from each sample was resolved by 10% SDS-PAGE and stained with Coomassie Brilliant Blue G-250 to visualize the protein bands. The other identical gel was electrotransferred to a PVDF membrane for standard western blot analysis. Two SDS-PAGE gels of the same sample were transplanted and incubated with His antibody and GAPDH (CST) antibody, respectively. The GAPDH antibody was used as internal control at a dilution of 1:1000. Finally, The PVDF membrane immersed in the exposure liquid (Tanon™ High-sig ECL Western Blotting Substrate) developed on the exposure instrument (Multifunctional imager: FUSION-FX5-820).

Growth and chlorophyll fluorescence measurement

The microalgal concentration was determined daily by optical density measurements at 750 nm by a UV–Vis spectrophotometer (Jasco-V530). The maximum quantum efficiency of photosystem II (PS II), termed Fv/Fm. Fv/Fm, was measured by a chlorophyll fluorometer (Water-PAM WALZ) [29, 30].

Fatty acid and lipid content analysis

The dry cells were used to detect the fatty acid profiles or contents, and TAG contents [31, 32]. Briefly, approximately 5 mg of dry cells was weighed (MSE125P-1CE-DI, Sartorius), 5 mL 2% H2SO4–methanol (v/v H2SO4/methanol) was added, and the mixture was heated at 70 °C for 1 h. FAMEs were extracted by hexane and quantified using an Agilent GC 7890A fitted with FID and a DB-23 column (Agilent Technologies) [31]. Methyl heptadecanoate (C17, Sigma-Aldrich) was used as an internal standard to determine fatty acid recovery for quantification.

TAG quantification required total lipid extraction from biomass [33] and lipid separation by TLC. Methanol:chloroform:water (1:1:0.9) was used as the extraction solvent. A 950-µL extraction solvent composed of methanol:chloroform:water (1:2:0.8) was first added to pre-weighed dry cells with a pre-addition of the methyl heptadecanoate TAG 51:0 followed by 30 min sonication. After complete mixing, an additional 250 µL of chloroform was mixed into the solvent, followed by subsequent addition of 250 µL H2O. The samples were vortexed and centrifuged and then the organic phase of the lower layer was transferred to a 2-mL vial. This process was repeated two more times. The extracted lipids were pooled and then dried under a nitrogen flow. Next, 100 µL of chloroform was added to re-dissolve the total lipids, and the lipid extracts were deposited onto a TLC plate (TLC silica gel 60 F254, Merck KGA). The TLC plate was developed with hexane/diethyl ether/acetic acid (85:15:1, v/v/v), and the lipids were revealed by spraying with 0.05% (m/v) primuline (Sigma Aldrich) in acetone/water (80/20, v/v). The silica-containing TAG was scrapped off, followed by trans-esterification and GC detection.
$$ T_{\text{i}} \, = \,{{X_{\text{i}} } \mathord{\left/ {\vphantom {{X_{\text{i}} } {\sum {X_{\text{i}} \, \times \,100\% } }}} \right. \kern-0pt} {\sum {X_{\text{i}} \, \times \,100\% } }} $$
(1)
$$ M_{\text{i}} \, = \,{{\left( {{{X_{\text{i}} } \mathord{\left/ {\vphantom {{X_{\text{i}} } {X_{\text{s}} \times M_{\text{s}} }}} \right. \kern-0pt} {X_{\text{s}} \times M_{\text{s}} }}} \right)} \mathord{\left/ {\vphantom {{\left( {{{X_{\text{i}} } \mathord{\left/ {\vphantom {{X_{\text{i}} } {X_{\text{s}} \times M_{\text{s}} }}} \right. \kern-0pt} {X_{\text{s}} \times M_{\text{s}} }}} \right)} {M_{\text{a}} \, \times \,100\% }}} \right. \kern-0pt} {M_{\text{a}} \, \times \,100\% }} $$
(2)
$$ M_{\text{TAG}} \, = {{\left( {{{\sum {X_{\text{i}} } } \mathord{\left/ {\vphantom {{\sum {X_{\text{i}} } } {X_{\text{s}} \, \times \,M_{\text{s}} }}} \right. \kern-0pt} {X_{\text{s}} \, \times \,M_{\text{s}} }}} \right)} \mathord{\left/ {\vphantom {{\left( {{{\sum {X_{\text{i}} } } \mathord{\left/ {\vphantom {{\sum {X_{\text{i}} } } {X_{\text{s}} \, \times \,M_{\text{s}} }}} \right. \kern-0pt} {X_{\text{s}} \, \times \,M_{\text{s}} }}} \right)} {M_{\text{a}} \, \times \,100\% }}} \right. \kern-0pt} {M_{\text{a}} \, \times \,100\% }}\,, $$
(3)
where Ti, Mi and MTAG were the individual fatty acid percentage of total fatty acids, fatty acid content and TAG content, respectively [32].

Notes

Abbreviations

FA: 

fatty acid

TAG: 

glyceryl trioleate

PDAT: 

phospholipid: diacylglycerol acyltransferase

DGAT: 

diacylglycerol acyltransferase

GPAT: 

glycerol-3-phosphate acyltransferase

LPAAT: 

lysophosphatidic acid acyltransferase

LPLA2: 

lysosomal phospholipase A2

LCAT: 

lecithin–cholesterol acyltransferase

DAG: 

diacylglycerol

SDP1: 

sugar-dependent1

PXA1: 

peroxisomal transporter1

ALA: 

α-linolenic acid

PL: 

phospholipid

PC: 

phosphatidylcholine

GAPDH: 

glyceraldehyde phosphate dehydrogenase

GC: 

gas chromatography

FID: 

flame ionization detector

TLC: 

thin-layer chromatography

PSII: 

photosystem II

DW: 

dry weight

SFA: 

saturated fatty acid

MUFA: 

monounsaturated fatty acids

PUFA: 

polyunsaturated fatty

MGDG: 

monogalactosyldiacylglycerol

DGDG: 

digalactosyldiacylglycerol

SQDG: 

sulfoquinovosyldiacylglycerol

DGTS: 

diacylglyceryltrimethylhomoserine

ACCase: 

acetyl-CoA carboxylase

FAs: 

fatty acid synthase

Declarations

Authors’ contributions

CX designed the research; CX, TJ and XS is in charge of experiments; ZZ, FY, YM and YG performed research; ZZ, CX, LJ and FX analyzed the data; YY and LY provided technical support; ZZ, CX and LJ wrote the paper; FX made a final proof of data presented. All authors read and approved the final manuscript.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 31470432) and Provincial Natural Science Foundation of Liaoning (No. 2014020090).

Competing interests

The authors declare that they have no competing interests.

Ethics approval and consent to participate

Not applicable.

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Authors’ Affiliations

(1)
School of Bioengineering, Dalian Polytechnic University, Dalian, 116034, China
(2)
Marine Bioengineering Group, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
(3)
University of Chinese Academy of Sciences, Beijing, 100049, China
(4)
Key Laboratory of Separation Science for Analytical Chemistry, Scientific Research Center for Translational Medicine, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China

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