Introduction

Microbial lipids have attracted considerable interest owing to their green and efficient production methods1,2. Owing to their fatty acid (FA) composition, microbial lipids can be used as promising sources of next-generation biodiesel or food additives and pharmaceuticals3,4. Accordingly, increased research interest has focused on genetic and metabolic engineering approaches to construct engineered oleaginous cell factories for storing and producing large amounts of lipids with an attractive FA composition5,6,7. Microbial lipids are primarily composed of triacylglycerol (TAG). In general, TAG is synthesized by a variety of acyltransferases using free FAs and glycerol as substrates, and this process follows the Kennedy pathway8. Moreover, TAG can be hydrolyzed by lipase to release free FAs and glycerol, then esterified FAs can be recycled into other lipids or degraded via β-oxidation to provide metabolic energy for cellular maintenance9. Blocking the TAG degradation pathway has become a promising strategy in constructing efficient lipid-producing cell factories, such as abolishing the β-oxidation pathway or lipase10, and studies showed that the lipid titer can be increased by 2.0–4.6 times using the strategy11,12. Accordingly, TAG degradation is considered a futile process in constructing a superior cell factory for lipid production.

The process of continuous degradation and resynthesis of TAG is called TAG cycling13. In recent years, emerging evidence has indicated that TAG cycling plays important roles in systemic metabolic homeostasis14. For example, FAs for membrane lipid synthesis are derived mainly from TAG degradation rather than de novo biosynthesis via the fatty acid synthesis pathway; this demonstrates the importance of TAG degradation for supporting efficient growth initiation15,16. TAG cycling could also moderate the oxidation rate of FA by calibrating the availability of acyl-CoAs, and then further impact the intracellular acetyl-CoA concentration and redox homeostasis17. Importantly, a recent study demonstrated that TAG cycling might provide a window for lipid diversification. The FAs released from TAG cycling could be modified by elongation and desaturation such that saturated FAs could be converted to monounsaturated FAs in preadipocytes18. Therefore, considering the importance of TAG cycling, the ability of blocking the TAG degradation pathway to increase the lipid titer of oleaginous microorganisms may need to be revised.

In this study, by exploring the changes of the FA profiles in three industrial oleaginous microorganisms (Yarrowia lipolytica, Schizochytrium sp., and Mortierella alpina), five putative mechanisms for TAG cycling are proposed and examined. We demonstrate that, based on the desaturase/elongase pathway, TAG cycling facilitates the conversion of saturated FAs to long-chain polyunsaturated fatty acids (PUFAs) with prolonged fermentation time. Exploiting this TAG cycling mechanism, we develop a strategy that TAG biosynthesis and degradation are decoupled to increase the production of PUFAs and their derivatives. As a proof of concept, the production of C20:5, C22:5, and prostaglandin F2α (PGF2α) is examined. Our findings highlight the important role of lipid degradation in the construction of excellent oleaginous engineered strains.

Results

FA profile in different microorganisms under fed-batch fermentation

Three PUFA producers (engineered Y. lipolytica YlP56 for C20:5, Schizochytrium sp. for C22:6, and M. alpina for C20:4) were used to explore the differences in their FA profile changes. In particular, PUFAs were biosynthesized by the desaturase/elongase pathway in Y. lipolytica and M. alpina (Fig. 1a)19, whereas PUFAs were biosynthesized by the polyketide synthase (PKS) pathway in Schizochytrium sp. (Fig. 1b)20. As shown in Fig. 1c, the C16 and C18 FA contents (% total fatty acids, TFAs) of Y. lipolytica YlP56 continuously decreased with prolonged fermentation time. The contents of C16:0 and C18:2 significantly decreased from 28.4% and 34.8% at 48 h to 9.24% and 10.4% at 240 h, respectively. The content of C20:5 continuously increased, and the final content reached 40.5% at 240 h (Fig. 1c). The variation in the FA content of M. alpina R807 was similar to that of Y. lipolytica. The contents of C16:0 and C18:1 decreased from 18.6% and 21.7% at 48 h to 12.4% and 11.5% at 240 h, respectively, whereas the content of C20:4 continuously increased, and the final content reached 46.2% at 240 h (Fig. 1d). However, the FA profile of Schizochytrium sp. HX308 exhibited the opposite trend during fermentation. After 120 h, the contents of C14:0 and C16:0 continued to increase, whereas the content of C22:6 decreased from 48.7% at 120 h to 32.5% at 192 h (Fig. 1e). Moreover, the lipid titer and dry cell weight (DCW) of the three producers decreased at the later stage of fermentation (Supplementary Fig. 1a–c). For example, the lipid titer of the YlP56 strain decreased by 30.2%, from 31.8 g/L at 192 h to 22.2 g/L at 240 h; these results indicated that lipids were degraded at the later stage of fermentation.

Fig. 1: Analysis of fatty acid profiles in three microorganisms under fed-batch fermentation.
figure 1

a Desaturase/elongase pathway. Elo16 C16 elongase, Des9 Δ-9 desaturase, Des12 Δ-12 desaturase, Elo9 Δ-9 elongase, Des8 Δ-8 desaturase, Des5 Δ-5 desaturase, Des17 Δ-17 desaturase. b PKS pathway. PKS polyketide synthase. Variation in the fatty acid content of Y. lipolytica YlP56 (c), M. alpina R807 (d), and Schizochytrium sp. HX308 (e) during fermentation. In (ce), the data are presented as the means ± s.d. from three (n = 3) biologically independent replicates.

Identifying the potential lipid species for the FA profile changes

To explore whether the increase of C20:5 content accompanied with the decrease of lipid titer was related to the difference in lipid species, lipidomics at eight time points in Y. lipolytica YlP56 was tested and analyzed (Fig. 2a). The final analysis covered seven lipid species of the YlP56 strain, including TAG, diacylglycerol (DAG), monoacylglyceride (MAG), phosphatidic acid (PA), phosphatidylcholine (PC), phosphatidylethanolamine (PE), and phosphatidylinositol (PI). As shown in Fig. 2b, c, with prolonged fermentation time, the contents of C16:0 and C18:2 gradually decreased in TAG (Fig. 2b) and DAG (Fig. 2c), whereas the contents of C20:5 gradually increased. Similarly, the content of C20:5 in MAG continuously increased (Fig. 2d); thus, there was more esterified C20:5 than C16:0 and C18:2 on MAG molecule, which might indicate that endogenous lysophosphatidate acyl-transferase (LPAAT), which catalyzes sn-2 position of the TAG molecules, has high substrate preference for C20:5-CoA. In addition, PC, PE, PA and PI are the major phospholipid components in Y. lipolytica, which accounts for 0.7-4.2% in total lipids (Supplementary Fig. 2). There is a decrease in C20:5 content was observed in the PE and PA in the later fermentation stage, and although PC and PI are different from them, their low level was not sufficient to cause an increase in C20:5 content in Fig. 1c (Fig. 2e–h).

Fig. 2: Lipidomic analyses for exploration of the distribution of FAs in different lipid species.
figure 2

a Overall workflow of lipidomic testing. Variation in the fatty acid content of the total TAG (b), DAG (c), MAG (d), PC (e), PE (f), PA (g), and PI (h) samples. TAG triacylglycerol, DAG diacylglycerol, MAG monoacylglyceride, PC phosphatidylcholine, PE phosphatidylethanolamine, PA phosphatidic acid, PI phosphatidylinositol. i Variation in the titers of the major lipid species. j Abundance of TAG (C20:5/X/X), TAG (C20:5/C20:5/X), and TAG (C20:5/C20:5/C20:5). In (bj), the data are presented as the means ± s.d. from three (n = 3) biologically independent replicates.

In Y. lipolytica, TAG was the main species involved in lipid storage and accounted for 70% of the total lipids; this was followed by DAG (Supplementary Fig. 2). Although the TAG titer initially increased and then decreased (Fig. 2i), the abundance of TAG (C20:5/X/X), TAG (C20:5/C20:5/X), and TAG (C20:5/C20:5/C20:5) continuously increased (Fig. 2j). These results indicated that the FAs were reshuffled in TAG.

Verification of the hypotheses contributing to the FA profile changes

Based on FA biosynthesis pathways in Y. lipolytica (Fig. 3a), two hypotheses were proposed to explain the mechanism of the continuous increase in C20:5 content, whereas the lipid titer decreased at the later stage of fermentation in Y. lipolytica YIP56. Hypothesis 1: More of the original precursor FA (C16:0) was synthesized (Fig. 3b). To verify hypothesis 1, the sole carbon source, glucose, was depleted at 168 h to inhibit C16:0 biosynthesis. The results revealed a large reduction in the C16:0 content, whereas C20:5 still slightly increased after 192 h (Fig. 3b). In addition, cerulenin, a fatty acid synthesis pathway inhibitor, was added at 168 h to inhibit C16:0 biosynthesis, and the results showed that the content of C16:0 decreased significantly and the content of C20:5 increased slightly (Supplementary Fig. 3); thus, hypothesis 1 was excluded. Hypothesis 2: the transcription levels of the desaturase/elongase pathway were increased in the later stage of fermentation (Fig. 3c). To verify hypothesis 2, the transcription levels of seven genes in the desaturase/elongase pathway were tested at 144, 192, and 240 h. The results revealed that the transcription levels of the seven genes were similar at three time points (Fig. 3c); thus, hypothesis 2 was also excluded.

Fig. 3: Exploring the effects of precursor overaccumulation and pathway activation on C20:5 synthesis in Y. lipolytica.
figure 3

a Schematic of the metabolic pathways related to FA biosynthesis in Y. lipolytica. G6P 6-phospho gluconate, FBP fructose bisphosphate, G3P glycerol-3-phosphate, OAA oxaloacetate, α-KG α-ketoglutarate, FAS fatty acid synthesis, GUT2 glycerol-3-phosphate dehydrogenase, GPD1 glycerol-1-phosphate dehydrogenase, GPAT glycerol-3-phosphate acyl-transferase, LPAAT lysophosphatidate acyl-transferase, DGAT diacylglycerol acyl-transferase, TGL3/TGL4 triacylglycerol lipase, PEX10 peroxisomal biogenesis factor 10, POX peroxisomal acyl-CoA oxidase. b Analysis of the effects of C16:0 overaccumulation on the C20:5 biosynthesis. Glucose was removed at 168 h, the red line represents the fatty acid content in the absence of glucose, and the blue line represents the fatty acid content in the presence of glucose. The red arrow represents the time point of glucose deficiency. c Analysis of the transcription levels of seven desaturase/elongase genes related to C20:5 biosynthesis at 144, 192, and 240 h. b, c Data are presented as the means ± s.d. from three (n = 3) biologically independent replicates. Statistical analysis was performed using two-tailed Student’s t-test (*P < 0.05).

Validation of TAG cycling in Y. lipolytica

Furthermore, hypothesis 3 was proposed: TAG cycling resulted in a continuous increase in the C20:5 content. TAG cycling is the process of continuous degradation of TAG to release the free FAs that are subsequently used to resynthesize a new FA and enter the re-accumulation of TAG. Specifically, the free FAs, which were produced by the degradation of TAG through lipase, entered the FA pool and were further converted into C20:5 by the desaturase/elongase pathway for the re-accumulation of TAG (Supplementary Fig. 4). To verify hypothesis 3, the inhibition and acceleration of TAG cycling were examined.

To inhibit TAG cycling, two strategies were applied (Fig. 4a). In strategy 1, the key gene responsible for TAG degradation, TGL4, was knocked out to yield the engineered strain YlP56-ΔTGL4; this strategy resulted in less free FAs production. In strategy 2, the key gene responsible for β-oxidation, PEX10, was overexpressed to yield the engineered strain YlP56-PEX10; this strategy allowed more free FAs to be degraded to acetyl-CoA rather than enter the desaturase/elongase pathway. Compared with the YIP56 strain, the two engineered strains presented an apparent reduction in the consumption rate of C16:0 and the biosynthesis rate of C20:5. The C20:5 contents of YlP56-ΔTGL4 and YlP56-PEX10 were 34.7% and 19.0%, respectively; these values were 14.3% and 53.1% lower than those of the YIP56 strain (Fig. 4b). In addition, compared with that of the YlP56 strain, the lipid titer of YlP56-ΔTGL4 increased by 53.2% (Supplementary Fig. 5a), whereas that of YlP56-PEX10 did not significantly change (Supplementary Fig. 5b).

Fig. 4: Five strategies used to validate TAG cycling in Y. lipolytica.
figure 4

a Description of two strategies used to inhibit TAG cycling. Knocking out the TGL4 gene (strategy 1, red line) and overexpressing the PEX10 gene (strategy 2, blue line) decreased the free FA content (dotted line) and increased the acetyl-CoA content (thick line). b C16:0 and C20:5 contents of the engineered strains YIP56, YIP56-ΔTGL4, and YlP56-PEX10. c Description of two strategies to accelerate TAG cycling. Overexpression of the TGL4 gene (strategy 3, green line) and knockout of the PEX10 gene (strategy 4, purple line) increased the free FA content (thick line) and decreased the acetyl-CoA content (dotted line). d C16:0 and C20:5 contents of the engineered strains YIP56, YIP56-TGL4, and YlP56-ΔPEX10. e Description of the inhibition of the expression of the Des12 gene (strategy 5) and the corresponding changes in the C18:1, C18:2, and C20:5 contents. The inducer was added at 168 h, the red line represents the fatty acid content in the presence of the inducer, and the blue line represents the fatty acid content in the absence of the inducer. The red arrow represents the time point of inducer addition. f The abundance of 13C-labeled fatty acids. In (b, df), the data are the means ± s.d. from three (n = 3) biologically independent replicates.

To accelerate TAG cycling, two strategies were applied and included overexpressing the TGL4 gene to construct the engineered strain YlP56-TGL4 (strategy 3) and knocking out the PEX10 gene to construct the engineered strain YlP56-ΔPEX10 (strategy 4); these strategies could increase the number of free FAs entering the desaturase/elongase pathway (Fig. 4c). Compared with the YIP56 strain, the two engineered strains had an apparent increase in the consumption rate of C16:0 and the biosynthesis rate of C20:5. The C20:5 contents of YlP56-TGL4 and YlP56-ΔPEX10 were 48.7% and 49.9%, respectively; these values were 20.2% and 23.2% higher than those of the YIP56 strain (Fig. 4d). In addition, compared with that of the YlP56 strain, the lipid titer of YlP56-TGL4 decreased by 45.0% (Supplementary Fig. 5c), whereas that of YlP56-ΔPEX10 increased by 23.0% (Supplementary Fig. 5d).

In addition, to explore whether the desaturase/elongase pathway was a key factor for the increase in C20:5 content caused by TAG cycling, we used CRISPRi (under the control of the inducible promoter PEYK) to inhibit endogenous Des12 gene expression to block the supply of precursor FAs for C20:5 synthesis (strategy 5) (Fig. 4e). After adding the inducer (erythritol) at 168 h, the content of C18:1 clearly increased, whereas the content of C18:2 significantly decreased. However, the content of C20:5 moderately increased after 216 h and reached 25.9% (Fig. 4e). Furthermore, to characterize the flow direction of FAs, UL-13C18:2 was used to detect the distribution of FAs containing the 13C labels. The results showed that 13C-labeled carbons were incorporated not only into C20:4 and C20:5 but also into C16:0, C18:0 and 18:1. The relative abundance of M+16 in C16:0 reached 98.6%, and the relative abundances of M+18 in C18:0 and 18:1 reached 59.4% and 38.3%, respectively (Fig. 4f). The results indicated that some products of UL-13C18:2 produced by β-oxidation were used in the biosynthesis of C16:0, C18:0 and C18:1. In summary, TAG cycling was the main reason for the continuous increase in the C20:5 content.

Exploration of TAG cycling in M. alpina and Schizochytrium sp.

To verify whether TAG cycling could lead to FA profile changes in M. alpina and Schizochytrium sp., teglicar, the reversible carnitine palmitoyltransferase 1 was used to accelerate TAG cycling (Fig. 5a). Teglicar has been used to inhibit the β-oxidation pathway in many organisms21. By comparing the DCW, lipid titer, and FA profile of the fermentation results with different teglicar concentrations, 20 μM teglicar was selected for subsequent experiments (Supplementary Fig. 6a, b). For M. alpina, compared with the non-added teglicar group, the consumption rates of C16:0 and C18:1 content in the added group increased, and their contents were lower than the 35.1% and 41.0% of the non-added group at 240 h, respectively (Fig. 5b, c). The synthesis rate of C20:4 in the added group was greater than that in the non-added group, and its content reached 56.1% at 240 h (Fig. 5d). In addition, the lipid titer of the added group significantly increased to 1.48 times greater than that of the non-added group and finally reached 29.8 g/L (Supplementary Fig. 7a). However, in Schizochytrium sp., the addition of teglicar did not result in a trend similar to that of M. alpina. Compared with those in the non-added group, the contents of C14:0 and C16:0 in the added group decreased and then increased after 120 h and reached 16.2% and 27.3%, respectively (Fig. 5e, f). The content of C22:6 clearly decreased after 120 h, and the final content decreased to 41.3% (Fig. 5g). No significant changes were observed in the lipid titer or DCW in the added group (Supplementary Fig. 7b). C20:4 was synthesized through the desaturase/elongase pathway in M. alpina; thus, accelerating TAG cycling could increase the C20:4 content. However, the content of C22:6 could not be increased by accelerating TAG cycling in Schizochytrium sp. because C22:6 was synthesized de novo from acetyl-CoA through the PKS pathway.

Fig. 5: Exploration of the TAG cycling in M. alpina and Schizochytrium sp.
figure 5

a Diagram of teglicar inhibition of the β-oxidation pathway. C16:0 content (b), C18:1 content (c), and C20:4 content (d) of M. alpina under 0 μM and 20 μM teglicar. C14:0 content (e), C16:0 content (f), and C22:6 content (g) of Schizochytrium sp. under 0 μM and 20 μM teglicar. In (bg), the data are presented as the means ± s.d. from three (n = 3) biologically independent replicates.

Decoupling of TAG synthesis and degradation

In general, the synthesis of TAG from glucose is accompanied by the degradation of TAG. However, TAG synthesis requires nitrogen restriction, and this stress condition accelerates cell senescence and TAG degradation22; this results in the PUFA titer initially increasing and then decreasing with prolonged fermentation time (Strategy 1, Fig. 6a). Blocking TAG degradation, such as by knocking out the TGL4 gene and β-oxidation-related genes, is a common method for increasing PUFA titer10 (Strategy 2, Fig. 6b). However, blocking TAG degradation has a negative effect on lipid metabolism and energy homeostasis23; thus, the PUFA titer cannot be sustainably improved.

Fig. 6: Decoupling the synthesis and degradation of TAG to improve the production of PUFAs and their derivatives.
figure 6

a Diagram of PUFA production in wild-type strains when glucose was used as the initial substrate (Strategy 1). b Diagram of PUFA production in the engineered strain after blocking lipid degradation-related genes with glucose as the initial substrate (Strategy 2). Blocking the TGL4 and PEX10 genes is represented by red double slash, and TAG degradation process blocking is represented by a red funnel. c Diagram of PUFA production in the engineered strain with the decoupling of TAG synthesis and degradation using glucose as the initial substrate. The TGL4 gene and the dCas9-VPR expression cassette are both controlled by the PEYK promoter. The black dotted line represents the decoupling time point of TAG synthesis and degradation. In stage I of fermentation, the TGL4 gene is not expressed in the absence of erythritol (red light). In stage II of fermentation, the TGL4 and dCas9 genes are activated and expressed in the presence of erythritol (green light) (Strategy 3). Erythritol is represented by the blue ball. VPR, hybrid tripartite transcriptional activator VP64-p65-Rta. d C20:5 and lipid titers of YIP56 and the engineered strains YIP56-D2 and YIP56-D3. The black dotted line represents the decoupling time point of TAG synthesis and degradation. e Biosynthesis pathway of C22:5 and PGF2α. Elo5, Δ-5 elongase; COX, cyclooxygenase; PGF, prostaglandin F synthase. f C22:5 titers of the engineered strains YIP58 and YIP58-D3. The green arrow represents the time point of inducer addition. g PGF2α titers of the engineered strains YIP60 and YIP60-D3. The blue arrow represents the time point of inducer addition. In (d, fg), data are presented as the means ± s.d. from three (n = 3) biologically independent replicates.

Here, based on the TAG cycling, we proposed a strategy in which TAG synthesis and degradation were decoupled to improve the production of PUFAs and their derivatives. This strategy consisted of two stages: in stage I, inhibiting TAG cycling for the overaccumulation of TAG, and in stage II, TAG cycling was accelerated to enhance the desaturase/elongase process of FAs. Specifically, the dCas9-VPR expression cassette under the control of the PEYK-inducible promoter was integrated into the Intc site of the engineered strain YlP56-ΔPEX10, and the promoter of the TGL4 gene was also replaced with the PEYK promoter; yielded the engineered strain YlP56-D3. In stage I of fermentation, the TGL4 and dCas9 genes were not expressed without erythritol, TAG was in a high-speed accumulation stage, and TAG cycling was inhibited. When erythritol was added in stage II of fermentation, the TGL4 gene and dCas9 gene were activated and expressed, and the TAG degradation rate and TAG cycling accelerated; thus, the PUFA titer was improved (strategy 3, Fig. 6c). These results revealed that the C20:5 content of strain YlP56-D3 (Strategy 3) increased (Supplementary Fig. 8a). Finally, the C20:5 titer of strain YIP56-D3 was 116.2% higher than that of the YIP56 strain and 45.5% higher than that of strain YIP56-D2 (strategy 2) and reached 19.5 g/L (Fig. 6d).

To verify the generality of the strategy, two high-value-added products, C22:5 and PGF2α, were tested. C22:5 is a component of seal oil and plays an important role in cardiovascular and cerebrovascular diseases and body immunity24. PGF2α is a C20:4 derivative and has important physiological functions in the digestive, reproductive, and respiratory systems25. The PaC20 gene (encoding Δ-5 elongase) was overexpressed in strains YIP56 and YIP56-D3, respectively (Fig. 6e), and the engineered strains YIP58 and YIP58-D3 were obtained. The C22:5 content increased from 26.5% in the YIP58 strain to 38.3% in the YIP58-D3 strain (Supplementary Fig. 8b), and the C22:5 titer reached 12.3 g/L; this value was 1.99 times greater than that of the engineered strain YIP58 (Fig. 6f). The Des17 gene of strains YIP56 and YIP56-D3 was knocked out by CRISPR, and the codon-optimized GvCOX and MmPGF genes were integrated into the Scp2 site of the genome to obtain engineered strains YIP60 and YIP60-D3 (Fig. 6e). The PGF2α titer of YIP60-D3 was 41.7% higher than that of YIP60 and reached 1.02 mg/L (Fig. 6g). The above results indicated that the strategy of decoupling TAG synthesis and degradation could effectively improve the production of PUFAs and their derivatives.

Discussion

In this work, we have demonstrated the role and mechanism of TAG cycling in PUFA biosynthesis and developed a strategy in which TAG biosynthesis and degradation were decoupled to effectively increase the production of PUFAs and their derivatives.

From the perspective of lipid metabolism, blocking TAG and FA degradation is an efficient strategy for the overproduction of lipids. On the one hand, blocking TAG degradation in yeast, plants, and animals leads to the overaccumulation of lipids26,27,28. In Saccharomyces cerevisiae, the TGL3, TGL4, and TGL5 genes all encode functional lipases, and their deletion resulted in a 2.49-fold increase in the TAG titer29,30. Unlike S. cerevisiae, only two genes encoding lipases (TGL3 and TGL4) are found in Y. lipolytica. TGL4 is the main lipase responsible for TAG degradation, and TGL3 may act as a positive regulator of TGL4 rather than a functional lipase. Knocking out the TGL4 gene resulted in a 1.8-fold increase in the lipid titer31. In this study, knocking out the TGL4 gene also resulted in an increase in the lipid titer of 53.1% (Supplementary Fig. 5a). However, the independent deletion of lipase could lead to growth delay since it is important for maintaining lipid homeostasis; this has been demonstrated in S. cerevisiae, Y. lipolytica YB-392, and Phaeodactylum tricornutum32,33,34 and was also consistent with our results (Supplementary Fig. 5a). On the other hand, the β-oxidative degradation of FAs occurred mainly in the peroxisomes of oil-producing microorganisms. Six acyl-CoA oxidases (POX1-POX6) were the catalytic enzymes for the first reaction of β-oxidation, and their deletion resulted in the complete loss of the β-oxidation function, a 1.6-fold increase of FAs titer, but also and an unbalance in FA metabolism35,36,37. However, each acyl-CoA oxidase has a different chain length preference38. For example, knocking out the POX2 gene independently resulted in a significant decrease in long-chain FAs39; in this study, knocking out a single POX gene did not meet the TAG cycling acceleration needs. In contrast, the PEX10 gene encodes proteins responsible for peroxisome biogenesis and is involved in peroxisome formation and proliferation without substrate preference40. However, excessive accumulation of free FAs led to cell stress. Some studies have shown that independent deletion of the PEX10 gene can lead to cell stress, which occurs only in media supplemented with oleic acid41,42. In this study, the engineered strain YIP56-ΔPEX10 was grown in medium with glucose as the sole carbon source, which had no negative effect on cell growth (Supplementary Fig. 5d). Moreover, overexpression of the TGL4 gene led to excessive accumulation of FAs, resulting in a decrease in DCW (Supplementary Fig. 5c); these results indicated that intracellular FAs were produced mainly by TAG degradation and not de novo synthesis via the fatty acid synthesis pathway.

In many oleaginous microorganisms, such as M. alpina, Cryptococcus podzolicus, and Parietochloris incisa, the lipid titer generally shows a decrease in the later fermentation process43,44,45,46. Several specific conditions could trigger the degradation of accumulated lipids; these conditions include providing FAs for membrane lipid synthesis during the exponential growth phase or upon exit from starvation conditions or providing metabolic energy via peroxisomal β-oxidation upon nutrient depletion occurs47. Although the lipid titer decreased, the PUFA content of continued to increase in some microorganisms. In particular, the C20:4 content rapidly increased throughout the ageing process in M. alpina; this represented the ageing stage in which the cells stopped growing but did not die48,49. The results of the intracellular metabolomics analysis indicated that the C20:4 content increased at the expense of the degradation of other FAs; this was a similar principle to the accelerated TAG cycling observed in our study. We proposed that regulating TAG cycling to increase PUFA production was applicable to microorganisms harboring the desaturase/elongase pathway. For microorganisms in the PKS pathway, PUFAs were synthesized de novo from acetyl-CoA; thus, the free FAs released by TAG degradation could not be further synthesized into PUFAs. Typically, Schizochytrium sp. did not improve PUFA synthesis by regulating TAG cycling (Fig. 5g). Similarly, the C20:4 and C20:5 contents of Aurantiochytrium limacinum in the PKS pathway did not increase with prolonged fermentation time50. However, in Nannochloropsis gaditana, Phaeodactylum tricornutum, and Myrmecia incisa, which use the desaturase/elongase pathway51,52, the PUFA content gradually increased with prolonged fermentation time; the results were also consistent with those from our study (Fig. 1a, b).

In this study, all results confirmed that TAG degradation was not a useless process, and provided an insight for better utilization of TAG degradation in constructing a superior cell factory for lipid production was provided. In the early stage of fermentation, TAG cycling was inhibited to enhance TAG overaccumulation, and TAG cycling was then accelerated to promote PUFAs production in the later stage of fermentation. The titers of C20:5, C22:5, and PGF2α increased by 116.2%, 99.4%, and 41.7%, respectively. This strategy was applicable only to microorganisms whose FAs are synthesized via the desaturase/elongase pathway. Future advances will focus on comprehensively utilizing TAG degradation to maximize the potential of developing oil-producing microbial cell factories.

Methods

Plasmids and strains

In this study, all plasmids were constructed by Gibson assembly. The products (homologous arms, target genes) obtained via polymerase chain reaction (PCR) were digested, recovered, and then ligated to the pUC-HUH vector backbone to overexpress or knock out genes in Y. lipolytica. Plasmid pCRISPRi was used as a vector for inhibiting the expression of the Des12 gene. Plasmid pCRISPRyl was used as a vector for replacing the promoter of TGL4 and knocking out the Des17 gene. These constructed plasmids of the pUC series were digested with EcoR I and Not I to yield the linear portions; these portions were introduced into the starting strain Y. lipolytica YIP56 using the chemical transformation method (Frozen-EZ Yeast Transformation II Kit, Zymo Research, Orange, CA).

Y. lipolytica YIP56 is an engineered strain that overexpresses Δ-8 desaturase, Δ-9 elongase, Δ-5 desaturase, and Δ-17 desaturase (lab stock). The linear portions, pUC-Scp2-TGL4 and pUC-Scp2-PEX10 integrated into the Scp2 site of Y. lipolytica YIP56 by homologous recombination to overexpress TGL4 and PEX10, respectively, and the engineered strains of YIP56-TGL4 and YIP56-PEX10 were obtained. The linear portions, pUC-HUH-ΔTGL4 and pUC-HUH-ΔPEX10, were used to knock out TGL4 and PEX10 by homologous recombination in isolation or in a combinatorial manner, and the engineered strains of YIP56-ΔTGL4, YIP56-ΔPEX10, and YIP56-D2 were obtained. Using YIP56 as the starting strain, the promoter of TGL4 was replaced with PEYK, and the PEYK-dCas9-VPR expression cassette was integrated into the Intc site to obtain the engineered strain YIP56-D3. The linear portion, pUC-Scp2-PaC20, was integrated into the Scp2 sites of YIP56 and YIP56-D3 by homologous recombination to produce C22:5, and the engineered strains of YIP58 and YIP58-D3, respectively, were obtained. The linear portions of pUC-Scp2-PGF were integrated into the Scp2 sites of YIP56 and YIP56-D3 with Des17 gene deletion by homologous recombination to produce PGF2α, and the engineered strains of YIP60 and YIP60-D3, respectively, were obtained. The competent cells were coated with SD medium and incubated at 28 °C for 48-60 h. Genomic DNA was the colony PCR template and was extracted using the E.Z.N.A. Yeast DNA Kit (Omega Bio-Tek, Inc.). The URA gene is a screening marker and was used for counterselection on yeast extract peptone dextrose (YPD) solid plates supplemented with 5-fluoroorotic acid (5-FOA) (Macklin, China). The URA-deficient strain could be used as the starting strain for the next transformation.

M. alpina R807 and Schizochytrium sp. HX308 are industrial PUFA producers. E. coli DH5α was used for recombinant plasmid construction. All plasmids and strains used in this study are provided in Supplementary Tables 1 and  2. All overexpressed genes and promoter sequences used in this study are provided in Supplementary Data 1, and primer sequences used in this study are provided in Supplementary Data 2 (synthesized in Sangon Biotech, China).

Strain culture conditions

Luria-Bertani (LB) medium (10 g/L tryptone, 5 g/L yeast extract, and 10 g/L NaCl) supplemented with 50 mg/L ampicillin was used for E. coli culture unless otherwise noted. E. coli was generally cultured at 37 °C for 12-14 h.

YPD medium (20 g/L glucose, 20 g/L peptone, and 10 g/L yeast extract) was used for the culture of Y. lipolytica. Synthetic defined (SD) solid medium (5 g/L (NH4)2SO4, 20 g/L glucose, 1.7 g/L yeast nitrogen base (YNB), and 30 g/L agar) was used to screen the Y. lipolytica transformants. YPD solid medium supplemented with 5-FOA was used to remove the URA3 counterselection marker. Fermentation medium (2.5 g/L yeast extract, 0.3 g/L peptone, 1.7 g/L YNB without amino acids, and 60 g/L glucose) was used as fermentation medium to produce lipids and C20:5. A single colony of Y. lipolytica was inoculated into YPD liquid medium and grown at 220 rpm and 28 °C overnight to obtain the seed mixture.

For M. alpina, seed medium I (2 g/L yeast extract, 30 g/L glucose, 2 g/L KH2PO4, and 10 g/L corn syrup) and seed medium II (6 g/L yeast extract, 50 g/L glucose, 2 g/L KH2PO4, and 4 g/L corn syrup) were used for cell culture. Potato glucose agar (PDA) slanted medium (200 g/L potato, 20 g/L glucose, and 20 g/L agar) was used for slant inoculation. The fermentation medium (10 g/L yeast extract, 80 g/L glucose, 4 g/L KH2PO4, 3 g/L NaNO3, and 0.5 g/L MgSO4·7H2O) was used to produce lipids and C20:4 in M. alpina. A loop of M. alpina mycelia was inoculated on a PDA slant and incubated at 25 °C for ~5–7 days. The mycelia were cultured in seed medium I and II in sequence for 20–24 h at 25 °C with shaking at 125 rpm and then inoculated into fermentation medium for lipid production.

For Schizochytrium sp., seed medium (20 g/L NaSO4, 4.6 g/L MgSO4·7H2O, 4.8 g/L(NH4)2SO4, 1.25 g/L NaCl, 1 g/L KCl, 20 g/L monosodium glutamate, 4 g/L KH2PO4, 4 g/L yeast extract, and 50 g/L glucose) was used for cell culture. The fermentation medium (12 g/L NaSO4, 2 g/L MgSO4·7H2O, 4 g/L (NH4)2SO4, 0.5 g/L KCl, 0.7 K2SO4, 0.15 g/L CaCl2, 20 g/L monosodium glutamate, 4 g/L KH2PO4, 4 g/L yeast extract, 100 g/L glucose, 0.008 g/L MnCl2, 0.008 g/L ZnSO4, 0.0001 g/L CoCl2, 0.0001 g/L NaMnO4, 0.006 g/L CuSO4, 0.006 g/L NiSO4, 0.02 g/L FeSO4, 0.2 % (v/v) Vitamin B1, 0.2 % (v/v) Vitamin B6, and 0.2 % (v/v) Vitamin B12) was used to produce lipids and C22:6. Schizochytrium sp. was cultured at 170 rpm and 28 °C overnight.

Additionally, the fermentation broths of M. alpina and Schizochytrium sp. were supplemented with teglicars (MedChemExpress, USA) at different concentrations (5, 10, 20, 30, 40, and 50 μM) for 72 and 48 h in flasks to test the DCW, lipid titer, and FA profile.

Lipidomic and 13C metabolic flow analysis

For Lipidomic analysis, during the fed-batch fermentation process of Y. lipolytica, 5 mL of 24 samples at eight time points (48, 96, 120, 144, 168, 192, 216, and 240 h, n = 3) were collected. These 24 samples were centrifuged at 8000 × g for 2 min to obtain the cells, and the cells were then preserved with liquid nitrogen. Lipidomics analysis was performed at Majorbio (Shanghai): 50 mg samples were homogenized at 50 Hz and −10 °C for 6 min using a high-throughput tissue crusher WonBio-96C (Shanghai Wonbio Technology Co., Ltd), followed by sonication at 40 kHz and 5 °C for 30 min. Subsequently, the samples were placed at −20 °C for 30 min, centrifuged at 13,000 × g at 4 °C for 15 min, and then 350 µL of the lipid extract from the upper phase was transferred to a new tube and evaporated to dryness under a gentle stream of nitrogen. The dry samples were reloaded by brief sonication with 100 µL isopropanol: acetonitrile (1:1, v/v) loading solution in a 5 °C water bath. The extracted lipids were centrifuged at 13,000 × g for 15 min at 4 °C, and 2 µL of the supernatant was injected into a Thermo UHPLC-Q Exactive HF-X Vanquish Horizon system, equipped with Accucore C30 column (100 × 2.1 mm i.d, 2.6 µm; Thermo, USA). The mobile phase consisted of solvent A (10 mM ammonium acetate in acetonitrile: H2O = 1:1 (v/v) (0.1% (v/v) formic acid)), and solvent B (2 mM ammonium acetate in acetonitrile: isopropanol: H2O = 10:88:2 (v/v) (0.02% (v/v) formic acid)). Injection parameters were as follows: volume: 2 µL, flow rate: 0.4 mL/min, column temperature: 40 °C, and total chromatographic separation for 20 min. The solvent gradient of solvent B was varied according to the following conditions: linear gradient from 35% to 60% (0–4 min); from 60% to 85% (4–12 min); from 85% to 100% (12–15 min), 100% standing (15–17 min); from 100% to 35% (18–20 min), and maintained at 35% until the end of separation. The ion-spray voltage floated at −3000 V in negative mode and at +3000 V in positive mode, and the detection was carried out over a mass range of 200–2000 m/z. After UHPLC-MS/MS analyses, the raw data were imported into the LipidSearch (Thermo, CA) for peak detection, alignment, and identification. Lipidomic features detected in at least 80% of any set of samples were retained. After filtering, minimum metabolite values were imputed for specific samples in which the metabolite levels fell below the lower limit of quantitation and each metabolic features were normalized by sum. The response intensity of the sample mass spectrum peaks was normalized by the sum normalization method, and the normalized data matrix was obtained for subsequent analysis.

For 13C metabolic flow analysis, 8 mg of UL-13C18:2 (Shanghai Yuanye Bio-Technology Co., Ltd, China) was added at 178 h, and the mixture was cultured for 20 h. Next, 5 mL of fermentation broth was collected and centrifuged at 8000 × g for 2 min; afterwards, the cells were washed twice with phosphate-buffered saline (PBS). The cells were subsequently preserved with liquid nitrogen. The 13C metabolic flow was examined at Novogene (Beijing, China).

Real-time quantitative PCR (RT-qPCR) assay

The total RNA of Y. lipolytica YIP56 was extracted using a FastPure Universal Plant Total RNA Isolation Kit (Vazyme, China). Then, the RNA was reverse transcribed into cDNA with HiScript III RT SuperMix (Vazyme, China). cDNA, as a template, and was used for RT-qPCR analysis (QuantStudioTM 3 Real-Time PCR Instrument, 96-well, Thermo, USA). Using the G6PDH gene (encoding glucose-6-phosphate dehydrogenase) as an internal reference gene, the relative expression level of the elongase/desaturase gene was determined using the 2(−ΔΔCT) method. The primers used for RT-qPCR are provided in the Supplementary Data 2.

Metabolite extraction and analysis

Lipid quantification and FA profile analysis: A total of 20 mg of lyophilized cells was accurately weighed and suspended in 500 μL of sodium hydroxide in methanol (1 mol/L), followed by the addition of 100 µL of internal standard comprising 2 g/L methyl heptadecanoate (Sigma-Aldrich) and 2 g/L glyceryl triheptadecanoate (Sigma-Aldrich) in hexane. The above mixed samples were vortexed at 1200 rpm for 5 h. Then, 40 µL of 98% sulfuric acid was added to neutralize the sodium hydroxide, after which 400 µL of hexane was added, followed by vortexing at 1200 rpm for 30 min to extract the fatty acid methyl esters. The mixed samples were centrifuged at 8000 × g for 3 min. The upper organic phase was transferred into a glass vial for gas chromatography. The samples were analyzed using a GC-2030 system (Shimadzu, Japan) equipped with a flame ionization detector (FID) and a DB-23 GC column (60.0 m × 0.25 mm × 0.25 μm, Agilent, USA). Nitrogen was used as a carrier gas, and its rate was 20 mL/min. The temperatures of the inlet and FID detector were 250 °C and 280 °C, respectively. The column conditions were as follows: initial column temperature of 100 °C, increased to 196 °C at a rate of 25 °C/min, and then increased using a slower rate of 2 °C/min to 220 °C and held for 10 min. The detection volume was 1 μL. Each FA methyl ester peak was identified based on its unique retention time. Total lipids and FAs were quantified by comparison with commercial fatty acid methyl ester standards normalized to methyl heptadecanoate and glyceryl triheptadecanoate.

The DCW was determined by gravimetry. A 5 mL culture at different time points was centrifuged at 8000 × g for 3 min. The supernatant was discarded, and the cells were washed twice with PBS. Then, the cells were lyophilized for 48 h and transferred to pre-weighed filter paper for weight measurement.

Glucose concentration: the samples were centrifuged at 8000 × g for 3 min to collect the supernatant, which was subsequently diluted 100 times with deionized water. Glucose-lactate SBA-40E Biosensory Analyzer (Yanhe, China) was used to test the glucose concentration.

Prostaglandin assay: the samples were centrifuged at 8000 × g for 5 min to collect the cells and supernatant, respectively. The supernatant was diluted 100 times with PBS for detection. The cells were subsequently washed twice with PBS. Next, the cells were broken by repeated grinding with liquid nitrogen. The broken cells were dissolved with PBS and centrifuged to obtain the supernatant, which was subsequently diluted 100 times with PBS for detection. PGF2α was measured using General Prostaglandin F2 Alpha (PGF2α) ELISA Kit (Jonlnbio, Shanghai). The PGF2α concentration was calculated from the standard data diluted to the level within the standard line.

Fed-batch fermentation

Fed-batch fermentation experiments with Y. lipolytica and Schizochytrium sp. were performed in 5 L bioreactors (T&J Bioengineering Co., Ltd., Shanghai, China). Fed-batch fermentation experiments with M. alpina were performed in a 1000 mL baffled flask.

For Y. lipolytica, a single colony was inoculated into 20 mL of YPD liquid medium and grown at 220 rpm and 28 °C overnight. The culture mixture was transferred to 200 mL of YPD liquid medium to obtain a seed culture; this culture was inoculated into 1.5 L fermentation medium at a 10% ratio and cultured for 240 h (0.35 vvm, 28 °C). Unlike shake-flask fermentation, the fermentation medium in bioreactor contained 2.5 g/L yeast extract, 0.3 g/L peptone, 1.7 g/L YNB without amino acids, and 2.7 g/L (NH4)2SO4, and initial glucose concentration was 100 g/L. The agitation speed was varied between 300 and 1000 rpm to maintain the dissolved oxygen concentration above 20% of the atmospheric value. The pH of the culture was constantly controlled at 5.50 ± 0.2 by automatically adding 10 mol/L sodium hydroxide. 800 g/L glucose was fed when the glucose concentration was lower than 30 g/L, and 200 mL ammonium sulfate (17.6 g/L) was fed at a speed of 8 mL/h after 24 h. In addition, 1 μg/mL cerulenin (aladdin, China) was added at 168 h to inhibit C16:0 biosynthesis. In the experiment of glucose starvation, the glucose feeding rate was adjusted according to the glucose consumption rate to ensure the glucose concentration in the medium was 0 at 168 h. In the experiment of inhibiting Des12 gene expression, erythritol (Sangon Biotech, China) was added at 168 h to activate the expression of the dCas9 gene to inhibit Des12 gene expression. In the decoupling strategy, 40 g/L erythritol was added at 168 h (the dividing point between Stages I and II of fermentation) to activate and express the dCas9 and TGL4 genes.

For M. alpina, a loop of mycelia was inoculated on a PDA slant and incubated at 25 °C for ~5–7 days. The mycelia were cultured in seed medium I and II in sequence for 20–24 h at 25 °C with shaking at 125 rpm and then inoculated into 200 mL fermentation medium and cultured for 240 h. Unlike shake-flask fermentation, the initial glucose concentration in bioreactor was 80 g/L, and 800 g/L glucose was supplemented when the residual glucose concentration was lower than 20 g/L. In addition, 20 μM teglicar was added to inhibit the β-oxidation of FAs.

For Schizochytrium sp., 1 mL of glycerol-preserved cells was inoculated into 100 mL of seed medium and passaged for three generations, and the resulting culture was inoculated into 3 L of fermentation culture at a 10% ratio and cultured for 192 h (0.4 vvm, 28 °C). The initial agitation speed was set at 250 rpm, and the maximum speed reached 450 rpm. The initial glucose concentration was 80 g/L, and 800 g/L glucose was supplemented with a 50 g/L feed rate when the residual glucose concentration was lower than 20 g/L. The pH of the culture was constantly maintained at 6.50 ± 0.2 by automatically adding 3 mol/L NaOH or citric acid. In addition, 20 μM teglicar was added to inhibit the β-oxidation of FAs.

Additionally, the FA content, lipid titer, DCW, and residual glucose concentration were measured every 24 h.

Statistical analysis

All experiments in the study were performed in three biological replicates. The response curves of the FA contents of the three microorganisms were calculated using linear regression or smooth differentiate/integrate curve fitting in GraphPad Prism version 8.0.2 (GraphPad Inc., USA). All results are expressed as the means ± standard deviations.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.