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Improving phytosterol biotransformation at low nitrogen levels by enhancing the methylcitrate cycle with transcriptional regulators PrpR and GlnR of Mycobacterium neoaurum

Abstract

Background

Androstenedione (AD) is an important steroid medicine intermediate that is obtained via the degradation of phytosterols by mycobacteria. The production process of AD is mainly the degradation of the phytosterol aliphatic side chain, which is accompanied by the production of propionyl CoA. Excessive accumulation of intracellular propionyl-CoA produces a toxic effect in mycobacteria, which restricts the improvement of production efficiency. The 2-methylcitrate cycle pathway (MCC) plays a significant role in the detoxification of propionyl-CoA in bacterial. The effect of the MCC on phytosterol biotransformation in mycobacteria has not been elucidated in detail. Meanwhile, reducing fermentation cost has always been an important issue to be solved in the optimizing of the bioprocess.

Results

There is a complete MCC in Mycobacterium neoaurum (MNR), prpC, prpD and prpB in the prp operon encode methylcitrate synthase, methylcitrate dehydratase and methylisocitrate lyase involved in MCC, and PrpR is a specific transcriptional activator of prp operon. After the overexpression of prpDCB and prpR in MNR, the significantly improved transcription levels of prpC, prpD and prpB were observed. The highest conversion ratios of AD obtained by MNR-prpDBC and MNR-prpR increased from 72.3 ± 2.5% to 82.2 ± 2.2% and 90.6 ± 2.6%, respectively. Through enhanced the PrpR of MNR, the in intracellular propionyl-CoA levels decreased by 43 ± 3%, and the cell viability improved by 22 ± 1% compared to MNR at 96 h. The nitrogen transcription regulator GlnR repressed prp operon transcription in a nitrogen-limited medium. The glnR deletion enhanced the transcription level of prpDBC and the biotransformation ability of MNR. MNR-prpRglnR was constructed by the overexpression of prpR in the glnR-deleted strain showed adaptability to low nitrogen. The highest AD conversion ratio by MNR-prpRglnR was 92.8 ± 2.7% at low nitrogen level, which was 1.4 times higher than that of MNR.

Conclusion

Improvement in phytosterol biotransformation after the enhancement of propionyl-CoA metabolism through the combined modifications of the prp operon and glnR of mycobacteria was investigated for the first time. The overexpress of prpR in MNR can increase the transcription of essential genes (prpC, prpD and prpB) of MCC, reduce the intracellular propionyl-CoA level and improve bacterial viability. The knockout of glnR can enhance the adaptability of MNR to the nitrogen source. In the MNRΔglnR strain, overexpress of prpR can achieve efficient production of AD at low nitrogen levels, thus reducing the production cost. This strategy provides a reference for the economic and effective production of other valuable steroid metabolites from phytosterol in the pharmaceutical industry.

Background

Steroid drugs are widely used in anti-inflammation, endocrine regulation, and fertility management [1]. The global market for steroidal drugs has exceeded $10 billion, and the industry prospects are extensive [2]. Microbial biotransformation using phytosterols as substrates has become an important way to produce steroid precursors, such as androstenedione (AD) and 9α-hydroxyandrostenedione (9α-OH-AD) [3]. Phytosterols mainly exist in plants and are abundant in crops, such as beans and cereals, which are starting materials for steroid drugs production through mycobacterium transformation because of their low cost and environment-friendly attributes [4]. The gene-editing of the sterol side chain degradation metabolic pathway has made the industrial production of the steroidal pharmaceutical precursor by phytosterol biotransformation possible [5,6,7,8,9,10,11], but on the premise of improving production efficiency, reducing production costs is still the continuous pursuit of industrial production. Recently, studies on toxic metabolites, such as reactive oxygen species (ROS) in the production process of strains, have provided new ideas for the study of phytosterol conversion [12, 13].

The production of AD and 9α-OH-AD from phytosterol bioprocessing mainly involves the degradation of aliphatic side chains through β-oxidation, and several propionyl-Coenzyme A (CoA) and acetyl-CoA are produced [14,15,16]. For example, when β-sitosterol is used as the substrate, the complete degradation of the side chain will produce three molecules of propionyl-CoA and one molecule of acetyl-CoA [17]. Propionyl-CoA plays an essential role in maintaining the balance of metabolic flow and energy supply during the metabolism of sterols and odd-chain fatty acids in mycobacteria [18]. Previous studies have shown that the excessive accumulation of intracellular propionyl-CoA in Mycobacterium smegmatis and M. tuberculosis produces a toxic effect, which seriously affects the growth of mycobacteria on propionate or mixtures of propionate and glucose [19, 20]. Three different detoxification mechanisms in mycobacteria have been proposed, namely, the methylmalonyl cycle pathway (MMC), the 2-methylcitrate cycle pathway (MCC), and the incorporation of propionyl moieties into cell envelope methyl-branched lipids [20]. Our recent research shows that enhanced MMC in Mycobacterium neoaurum (MNR) promotes the conversion of propionyl-CoA to nontoxic succinyl-CoA and improves the transformation of phytosterols [21]. Therefore, while metabolizing propionyl-CoA, MCC also has the dual effects of detoxification and energy supply.

Previous findings have shown that in the MCC of mycobacteria, propionyl-CoA is converted to pyruvate at a molar ratio of 1:1 [22, 23]. The methylcitrate synthase (MCS or PrpC; encoded prpC) catalyzes the condensation of propionyl-CoA with oxaloacetate to 2-methylcitrate, which is then dehydrated to produce methylaconitate. This step is accomplished by either methylcitrate dehydratase (MCD or PrpD; encoded prpD) or by the combined activity of methylcitrate dehydratase (AcnD) and methylaconitate cis–trans isomerase (PrpF). Following dehydration, methylaconitate is rehydrated by aconitase (AcnB) to yield methylisocitrate and cleaved by methylisocitrate lyase (MCL or PrpB; encoded prpB) or by isocitrate lyase to produce pyruvate and succinate [24]. The prp operon plays a key role in the assimilation of propionyl-CoA in Mycobacterium tuberculosis [25], and Mycobacterium smegmatis [19] to obtain carbon and energy and prevents the accumulation of toxic metabolites. Masiewicz et al. [26] identified the novel transcription factor (PrpR; encoded prpR) that regulates the MCC by induces self-transcription and activating the prp operon in M. tuberculosis. PrpR is essential for the utilization of odd-chain-length fatty acids, and the prpR knockout strain exhibited an inhibited growth on propionate as a sole carbon source. Therefore, speculation is that the effector of PrpR may be propionyl-CoA, which is an intermediate metabolite of both odd-chain-length fatty acids and propionate.

Current research on MCC in mycobacteria is focused on Mycobacterium tuberculosis and Mycobacterium smegmatis, which are mainly related to the function of MCC at low cholesterol concentrations and other substrates. The effect of MCC on the transformation ability of steroid precursor production strains at a high concentration of phytosterol has not been reported, which is worthy of further study.

Nitrogen is an essential element for the microbial synthesis of proteins, nucleic acids, and substances required for growth. The supply of nitrogen sources strongly influences the growth and metabolism of heterotrophic microorganisms and autotrophic algae, which is very important for the efficient generation of target products during fermentation [27,28,29,30]. The nitrogen sources that can be absorbed and utilized by microorganisms in the fermentation industry are usually expensive yeast extract and peptone [31]. Therefore, finding an inexpensive alternative nitrogen source is the primary method to reduce the cost of the medium [32]. We have tried to use the hydrolysate of mycobacterial cells instead of yeast extract to reduce the cost of nitrogen source [21], but the relatively complex process limits its large-scale application in industrial production. Compared with the use of cheap nitrogen sources, improving the adaptability of strains to poor nitrogen sources is more direct and effective in reducing the cost of nitrogen sources.

Considerable research has shown that the utilization of nitrogen sources by microorganisms is controlled by regulatory proteins such as GlnR [33]. Studies on mycobacteria have shown that GlnR can regulate nitrogen assimilation in response to its limited availability [34]. GlnR is a conserved OmpR-like transcription factor, which is one of the regulators of nitrogen metabolism in actinomycetes, can regulate more than 100 genes, and has a wide range of effects on the growth and adaptation environment [35]. In a recent study, Liu et al. [36] found that GlnR directly binds to the promoter region of prpDBC and inhibits its transcription in M. smegmatis. However, little is known about the effects of regulatory factors, PrpR and GlnR, on the transformation of phytosterols by mycobacteria. Improving the nitrogen source adaptation level of a strain by nitrogen regulation factors is significant, and to the best of our knowledge, this process has not been reported.

In the present work, we show for the first time that genetically manipulating transcription factors can improve the AD production in a Mycobacterium. The transcriptional level of prpDBC and the changes in cell growth and AD production after the overexpression of prpR in MNR were studied. The effects of glnR deletion on the transcription level of prpDBC and the AD molar conversion rates were investigated at different nitrogen source levels. To further improve the productivity of AD, a prpR overexpressing strain MNR-prpRglnR was constructed under glnR deletion, and the AD productivity of MNR-prpRglnR at different nitrogen source levels was evaluated. In summary, strategies for effectively enhancing AD production by using prp operon and glnR were first reported.

Materials and methods

Mutant strains construction

All modified strains and plasmids used in this work are listed in Table 1. Escherichia coli DH5α was used for plasmid replication. Genes overexpression and deletion methods have been reported in previous studies [21]. In MNR, the vector pMV261 having kanamycin resistance (KanR) was used to overexpress the target gene. Genes of PrpR and PrpDBC were amplified from the genome of MNR. The prpR and prpDBC genes were recombined with the linearized pMV261 using the In-Fusion HD Cloning method to generate recombinant plasmids, which were named pMV261-prpR and pMV261-prpDBC, respectively. The recombinant plasmid introduced to MNR through electroporation to gain the recombinant strains (MNR-prpR and MNR-prpDBC). The empty plasmid control strain (MNR-pMV261) was constructed by the introduction of pMV261 into the MNR. The in-frame deletion mutants of glnR were built by referring to the methods of Yao et al. [22]. The 1131 bp upstream sequence and 1107 bp downstream sequence of glnR were obtained as a recombinant fragment by PCR. Two fragments were ligated into the plasmid p2NIL and then digested with PacI and ligated with a selection marker cassette from pGoal19 to construct a homologous recombinant plasmid. The constructed plasmid was transferred into mycobacterial cells by electroporation, and the glnR knockout strain was screened according to the previously reported protocol [11]. Construction of recombinant strains MNR-prpRglnR and MNR-prpDBCglnR by electroporation of plasmids pMV261-prpR and pMV261-prpDBC into MNRΔglnR.

Table 1 Strains, plasmids, and primers used in this study

Medium and cultivation conditions

All reagents and substrates were prepared as previously described [13, 21]. E. coli DH5α was cultured at 37 °C in Luria–Bertani (LB) medium (10.0 g/L tryptone, 5.0 g/L yeast extract, and 10 g/L NaCl at pH 7.0), where appropriate, kanamycin was added to the medium with a final concentration of 50 μg/mL. Mycobacteria seeds were prepared according to the previous description [21]. Seeds were inoculated into a shake flask containing 50 mL of fermentation medium at 10% inoculation for phytosterol bioconversion and then cultured for 168 h at 30 °C and 200 rpm. The phytosterol biotransformation medium (pH 7.5) contained 10 g/L glucose, 2.0 g/L (NH4)2HPO4, 0.05 g/L ferric ammonium citrate, 0.25 g/L MgSO4, 25 mM hydroxypropyl-β-cyclodextrin, and 5 g/L phytosterol. The normal nitrogen source level was set to 1 (N1), and one-tenth (N0.1), one-half (N0.5), three-fifths (N0.6), seven-tenths (N0.7), four-fifths (N0.8), and nine-tenths (N0.9) of its weight were added to the fermentation medium to investigate the effects of different nitrogen source levels on the strain.

Quantitative reverse transcription-PCR (qRT-PCR)

For qRT-PCR analysis, the cells were cultured for 48 h and collected by centrifugation at 8,000×g for 10 min at 4 °C. Isolation of RNA was carried out according to the method described by our previous description [13]. The qRT-PCR analysis was performed according to the previously described method [37]. The primers for qRT-PCR were listed in Table 1. The messenger RNA (mRNA) level of the 16S rRNA gene was used as the housekeeping gene (internal control) to normalize the sampling errors [38]. Relative gene expression levels were calculated by the comparative Ct method (2−ΔΔCt method) [39].

Determination of intracellular propionyl-CoA concentrations

During the fermentation of MNR, MNR-prpR and MNR-prpDBC, samples were taken at 24-hour intervals, and the samples were divided equally. One part was used to detect the dry cell weight (DCW) according to the previous method [40], and the other was used to analyze intracellular propionyl-CoA. Intracellular propionyl-CoA levels were detected using a modified method previously described by Xu et al. [41]. Cells cultures were harvested and quenched in liquid nitrogen and washed twice with precooled phosphate-buffered saline (PBS, pH 8.0), then added with lysis buffer (10% trichloroacetic acid and 2 mM dithiothreitol), and repeatedly frozen and thawed four times using liquid nitrogen ice water, then sonicated on ice for 5 min (work 5 s, stop 5 s) using an ultrasonic disintegrator (JY96-IIN; Ningbo Xinzhi Instruments Inc., Ningbo, China). The supernatant was collected by centrifugation at 14,000×g for 10 min at 4 °C and transferred to an equilibrated solid-phase extraction column (Sep-Pak, tC18; Waters, Milford, MA). After loading the sample, wash the extraction column with 0.1% trifluoroacetic acid (TFA). The extraction column was subsequently eluted with 40% acetonitrile containing 0.1% TFA. The collected eluent was freeze-drying performed in a freeze-dryer (Alpha 2–4 LD plus, Martin Christ, Osterode am Harz, Germany) and stored at − 80 °C until analysis.

For the analysis of propionyl-CoA, the prepared samples were assayed by high-performance liquid chromatography (HPLC) using Agilent 1260 (Agilent Technologies, Santa Clara, CA, U.S.A.) equipped with UV detection at 260 nm. HPLC analysis was realized on a reversed-phase C18 column (250 mm × 4.6 mm) at 25 °C, and the two mobile-phase solvents used were buffer A (acetonitrile) and buffer B (100 mM ammonium acetate, pH 5.8). The linear gradient elution was carried out at 0.8 mL/min, and elution condition was as follows: 2–12% A (0–5 min), 12–38% A (5–15 min), 38% A (15–17 min), 38–2% A (17–19 min), data collection was stopped at 30 min. The content of propionyl-CoA was calculated by the external standard method.

Propionyl-CoA (Sigma, USA) was used for the preparation of the standard curve. The standard stock solution of propionyl-CoA (100 μmol/L) was prepared and stored at − 80 °C. Propionyl-CoA standard working solutions were prepared by diluting the stock solutions to 0.01, 0.05, 0.1, 0.2, 0.5, 1, 2, 2.5, 5.0, and 10 μmol/L. The calibration curve was prepared using the standard working solutions of propionyl-CoA. For each sample, the propionyl-CoA concentration was calculated by interpolating the sample measurement in the standard curve. Finally, the intracellular propionyl-CoA concentrations were calculated according to the DCW value of each sample.

Detection of bacterial viability and product analysis

The bacterial viability using the modified CCK-8 method was determined as described previously [13]. The fermentation broth adjusts the OD600 value to 1 using a Tris–HCl buffer (pH 7.2). Add 190 μL fermentation broth and 10 μL of WST-8 to the 96-well plate, detect absorbance at 450 nm after 1 h incubate at 30 °C. For product analysis, samples were taken every 24 h during the conversion of phytosterol, and the same volume of ethyl acetate was added to 1 mL fermentation broth for 30 min. After 12,000×g centrifugation for 10 min, 200 μL extract was dissolved in 80% methanol after vacuum drying and centrifuged at 12,000 × g for 20 min for HPLC analysis. HPLC analysis was prepared according to the method described by the previous description [21].

Results and discussion

Sequence homology and function analysis of PrpR, PrpD, PrpB, PrpC and GlnR

Previous studies confirm that M. smegmatis contains prpD, prpD and prpC, but M. tuberculosis contains only prpD and prpC. The activity of PrpB is provided by isocitrate lyases of M. tuberculosis (ICL1 and ICL2; encoded icl1 and icl2), which are two isoforms involved in the glyoxylate pathway. The amino acid sequence analysis showed that the PrpD, PrpB and PrpC of MNR were similar to M. smegmatis and M. tuberculosis with sequence identity between 76 and 88% (Fig. 1a). The sequence concordance between the PrpR of MNR and the transcription factor PrpR of M. smegmatis was 74%. Sequence homology alignment results showed that MNR and 9a-OH-AD producing strain M. fortuitum (MFT) [13] had a complete MCC, and the similarity of each enzyme was higher than 82%. Therefore, MCC is widely present in mycobacteria with phytosterol transformation ability. The analysis of the prpDBC upstream region revealed a typical PrpR binding motif (TTCGCAAA), and GlnR binding motif (GGACCGGCACCGTAAC) were observed in the upstream region of prpDBC in MNR (Fig. 1b). According to Liu et al. [36], GlnR directly binds to the promoter region of prpDBC and inhibits its transcription in M. smegmatis. So the same mechanism also exists in MNR.

Fig. 1
figure1

Sequence homology and function analysis of PrpR, PrpD, PrpB, PrpC and GlnR of four mycobacteria. a The structural variations of the PrpR, PrpD, PrpB, PrpC and GlnR. b GlnR and PrpR bind the promoter region of prpDBC in M. neoaurum

The function of prp gene cluster in MNR

PrpR promotes the transcription of prpDBC in MNR

The prpR and prpDBC overexpression strains (MNR-prpR and MNR-prpDBC) were constructed for studying the effect of PrpR on prpDBC in MNR. The relative transcription levels of prpD, prpB and prpC in MNR, MNR-prpR and MNR-prpDBC were compared in the presence of phytosterols. As shown in Fig. 2a, the relative transcription level of prpDBC increased significantly in the prpR-overexpressed strain compared with that in the wild type strain. The prpD, prpB and prpC transcripts increased in MNR-prpR 16.5 ± 2.4-, 10.5 ± 3.1- and 36.0 ± 4.9-fold, respectively. The overexpression of prpDBC increased the transcription levels of prpD, prpB and prpC 5.6 ± 2.0-, 6.5 ± 2.8- and 5.3 ± 2.0-fold, respectively. Therefore, prpR is a positive transcription regulator of prpDBC in MNR. In addition, the relative transcription level of prpD, prpB and prpC in strain MNR-prpR was higher than that in MNR-prpDBC. The reason may be that the PrpR protein produced by overexpression of prpR in MNR-prpR can promote the transcription of prpD, prpB and prpC on the genome, and also promote the transcription of prpR gene, thus producing a dual promoting effect on prpD, prpB and prpC transcription. Therefore, as far as the relative transcription level of prpD, prpB and prpC is concerned, overexpression of prpR alone has a better effect.

Fig. 2
figure2

Recombinant strain qRT-PCR analysis, growth status, and AD conversion ratio of MNR, MNR-prpR and MNR-prpDBC. a qRT-PCR analysis of the expression variations of prpR, prpD, prpB and prpC. b Growth curves of MNR, MNR-prpR, and MNR-prpDBC. c Time courses of biotransformation rates of AD by MNR, MNR-prpR, and MNR-prpDBC. Error bars indicate the standard deviation from three independent experiments and the levels of statistical significance are indicated as follows: *p < 0.05; **p  < 0.01; ***p < 0.001; NS, indicates no significant difference (p > 0.05)

Enhancement of AD productivity by overexpressing the prp operon

The effects of prp operon enhancement on cell growth and AD production were studied. It was found that the conversion rate of a single gene (prpD, prpB and prpC) overexpression was always lower than that of co-expression of three genes (data not shown). Therefore, the prpR and prpDBC overexpression strains (MNR-prpR and MNR-prpDBC) were selected for comparative study with the parental strain (MNR) and the control strain (MNR-pMV261). Although all strains have the same growth trend, the introduction of plasmids could reduce the biomass, which is more pronounced when overexpressing foreign genes. The biomass of the MNR-prpR and MNR-prpDBC were lower than the MNR and control strain, and MNR-prpR had the smallest biomass (Fig. 2b). As shown in Fig. 2c, the AD production capacity of recombinant strains was higher than that of MNR and MNR-pMV261. The highest AD molar conversion rates of MNR-prpR and MNR-prpDBC were 90.6 ± 2.6% and 82.2 ± 2.2%, respectively, which were higher than the parental strain (72.3 ± 2.5%) and control strain (70.1 ± 2.7%). The AD conversion rate of MNR-prpDBC was always lower than that of MNR and MNR-pMV261 before 48 h, and the conversion rate of MNR-pMV261 was consistently lower than that of MNR. The main reason for this phenomenon may be due to the increased metabolic load caused by the generation of antibiotic resistance and genes overexpression. The above results showed that the overexpression of prp operon enhanced the AD production capacity of MNR, and the effect of prpR overexpression was most evident.

Enhancement of the MCC can reduce the accumulation of propionyl-CoA in cells and increase the viability of bacteria

The MNR, MNR-prpR and MNR-prpDBC intracellular propionyl-CoA level assays showed that the recombinant strains had similar trends to the parental strains. The overexpression of the prpR and prpDBC can effectively reduce the accumulation of propionyl-CoA in the middle and late stages of biotransformation (Fig. 3a), and the MNR-prpR has the lowest intracellular propionyl-CoA level. At 96 h, intracellular levels of propionyl-CoA in MNR-prpR and MNR-prpDBC (5.9 ± 0.5 and 7.8 ± 0.6 μM) were reduced by 43 ± 3% and 23 ± 4% compared to MNR (10.2 ± 0.9 μM). Moreover, the cell viability of recombinant strains was improved. The MNR-prpR always showed higher cell viability than MNR and MNR-prpDBC (Fig. 3b). The highest cell viability of MNR-prpR (1.6 ± 0.04) was 22 ± 1% higher than that of MNR (1.3 ± 0.04). Although the cell survival rates of the three strains decreased after 96 h, MNR-prpR and MNR-prpDBC showed a slower downward trend than MNR. At 144 h, the cell viability of MNR was only 53 ± 1% of the highest value, whereas the ratio of MNR-prpR was 83 ± 1%. In M. tuberculosis, MCC is essential for growth on propionate or cholesterol. Masiewicz et al. [26] confirmed that PrpR as a transcription factor is directly involved in the regulation of genes encoding the key enzymes of methylcitrate PrpD, PrpC and isocitrate lyase Icl1 cycles. The deletion of the prpR genes results in impaired growth in vitro on propionate or cholesterol as a sole carbon source. Similar results were obtained for non-pathogenic M. smegmatis [19].

Fig. 3
figure3

Intracellular propionyl-CoA level and cell viability of MNR, MNR-prpR and MNR-prpDBC. a Propionyl-CoA levels of strains in the biotransformation process. b Cell viability of strains in the biotransformation process. Error bars indicate the standard deviation from three independent experiments

The MCC plays an essential role in the detoxification of propionyl-CoA in mycobacteria. The overexpression of the prp operon can enhance the MCC, reduce the intracellular accumulation of propionyl-CoA and maintain cell viability. The reduction of propionyl-CoA also has a promoting effect on the side chain degradation of phytosterols, effectively improving the AD production capacity of MNR.

The function of glnR in MNR

glnR expression repressed the transcription of prpDBC

In the study of the effects of different nitrogen sources on the conversion of phytosterols by MNR, diammonium phosphate was found to be an excellent inorganic nitrogen source to replace yeast extracts. The optimum amount of (NH4)2HPO4 for use was 3.5 g/L, and the yield of AD decreased significantly with the decrease of (NH4)2HPO4 usage (data not shown). During the growth of M. smegmatis, nitrogen restriction increases the level of glnR transcription and inhibits the transcription of prpDBC involved in the MCC [36]. Inspired by this, the transcriptional levels of glnR and prpDBC in MNR were studied at different nitrogen source levels. As shown in Fig. 4a, the glnR transcription level increased 12.9 ± 1.4-fold at the nitrogen-limited level (N0.1), but a 96 ± 1% decrease for prpD, a 71 ± 2% decrease for prpB, and a 91 ± 1% decrease for prpC. At a low nitrogen source level (N0.5), the same trend was observed for prp operon. A prpR knockout (MNRΔglnR) and a replenishing strain (MNRΔglnR::glnR) were constructed and used in further confirming the effect of PrpR on the transcription of prpDBC. The transcription levels of prpDBC genes were studied under N0.1 conditions (Fig. 4b). Compared with MNR, the deletion of glnR resulted in increased prpD, prpB and prpC transcripts by 3.3 ± 0.6, 2.2 ± 0.5 and 9.6 ± 1.1 times, respectively.

Fig. 4
figure4

The function of glnR in MNR. a The transcription of prpDBC is responsive to nitrogen availability. b GlnR represses the transcription of prpDBC in MNR. c Optimization of the addition of nitrogen levels for AD production. d Time course of AD production by MNR-prpRglnR in low nitrogen levels. Error bars indicate the standard deviation from three independent experiments and the levels of statistical significance are indicated as follows: *p < 0.05; **p  < 0.01; ***p < 0.001

The transcription levels of prpDBC in MNRΔglnR::glnR were equivalent to that in MNR. These results further demonstrated that GlnR inhibited the transcription of prpDBC involved in the MCC in response to stress from low nitrogen sources. These findings were consistent with previous reports, the deletion of glnR alleviates the GlnR-mediated repression of prpDBC and increases the activity of the MCC (assimilation of propanoate and propionyl-CoA) [36].

Effects of deleting glnR on cell growth and biotransformation

The existing data indicate glnR is a global transcriptional regulator. In Saccharopolyspora erythraea, glnR can not only regulate nitrogen metabolism, but also regulate carbon metabolism [42] and homeostasis of intracellular phosphorus [43], and affects the synthesis of actinomycete antibiotics in Streptomyces [44]. Recent studies showed that GlnR inhibits the transcription of the prpDBC involved in the MCC at low nitrogen levels. The findings revealed a unique link between nitrogen metabolism and propionyl-CoA assimilation involved in fatty acid or cholesterol utilization [36]. The GlnR responds to low nitrogen source levels and inhibits prpDBC. PrpD, PrpB and PrpC are the core enzymes of MCC and play an important role in the metabolism of propionyl-CoA. The overexpression of prp operon in MNRΔglnR affects the AD production of MNR. The prpR and prpDBC overexpression strains of MNRΔglnR (MNR-prpRglnR and MNR-prpDBCglnR) were constructed, and the cell growth and biotransformation of different strains were studied at different levels of nitrogen sources. As shown in Table 2, all strains had low biomass and biotransformation rates under N0.1 conditions. With the increase nitrogen source level, the two indices of each strain increased significantly. At the same nitrogen source level, glnR deletion was beneficial to the transformation of phytosterols, and the overexpression of prp operon gene cluster can further enhance the transformation ability of MNR. Consistent with the above results, the overexpression of prpR in glnR-deleted strains was more effective than prpDBC. Under the conditions of N0.1, N0.5 and N1, the biotransformation rates of MNR-prpRglnR were 21.6 ± 2.4%, 57.7 ± 2.8% and 94.3 ± 3.4%, which were 1.6, 1.4 and 1.2 times higher than MNR (13.8 ± 2.8%, 42.4 ± 2.7 and 75.7 ± 3.5), respectively. These results indicated that the nitrogen source level is an important factor affecting the cell growth and AD production of MNR. At low nitrogen level, the deletion of glnR relieved the inhibition of GlnR on prpDBC and increased the metabolism of propionyl-CoA by MCC.

Table 2 Recombinant strain growth status and AD conversion ratio in different levels of nitrogen sources

Effect of different nitrogen sources levels on the AD production of MNR-prpRglnR

The impact of varying nitrogen source levels on the AD production of MNR and MNR-prpRglnR were investigated in a shake flask. The result was used in studying the feasibility of reducing the cost of nitrogen sources. The biotransformation rates of MNR and MNR-prpRglnR increased with nitrogen source level from N0.5 to N1 (Fig. 4c). The AD biotransformation rates of MNR-prpRglnR (90.6 ± 4.2%) under N0.7 condition was 1.2 times than that of MNR under N1 condition (75.7 ± 3.9%). The AD biotransformation rates of MNR-prpRglnR increased slightly with nitrogen content. The AD conversion rates of MNR-prpRglnR were 92.8 ± 2.7%, 93.7 ± 3.6% and 94.2 ± 3.0% under N0.8, N0.9 and N1 conditions, respectively. Therefore, in subsequent experiments, N0.7 conditions were selected for the investigation of the phytosterol biotransformation of MNR-prpRglnR. As shown in Fig. 4d, compared with MNR, MNR-prpRglnR had higher phytosterol biotransformation ability during fermentation. At 144 h, the highest biotransformation rate of MNR-prpRglnR was 92.8 ± 2.7%, which was 28.4 ± 1.0% higher than that of MNR (64.4 ± 2.5%). A comparison of the AD formation rate (qp) of MNR and MNRΔglnR-prpR showed that the highest qp (0.045) of MNRΔglnR-prpR at 72 h was 2 times higher than the highest qp (0.023) of MNR at 96 h. Moreover, the production time for the highest qp for MNRΔglnR-prpR was shorter by 24 h. Therefore, the AD production performance of MNRΔglnR-prpR is better than that of MNR at the low nitrogen source level.

A novel strategy for improving phytosterol biotransformation in low nitrogen levels by the transcriptional regulators PrpR and GlnR

Our previous studies showed that the enhancement of the propionyl-CoA carboxylase gene in the MMC of propionyl-CoA metabolism could improve the ability of MNR to transform phytosterols. In the present study, based on the identification of prp operon and glnR in MNR, a novel strategy of improving phytosterol biotransformation in a low nitrogen level was established (Fig. 5). In MNR, the overexpression of the prp operon enhanced MCC to reduce the accumulation of propionyl-CoA and its endotoxic, thus, enabling the strains to maintain high activity to achieve efficient production of AD. The combination strategy of knocking out glnR and overexpressing prpR can eliminate the inhibitory effect of glnR on prpDBC, increase the low nitrogen adaptation ability of MNR and enable the MNR-prpRglnR to produce AD efficiently under low nitrogen sources.

Fig. 5
figure5

The regulatory mechanism of GlnR and PrpR on prpDBC involved in the methylcitrate cycle pathway of MNR

Conclusions

In this study, we identified the prp operon and the glnR in MNR and studied the regulatory effects of PrpR and GlnR on prpD, prpB and prpC. The enhancement of prpR and prpDBC can effectively reduce the accumulation of propionyl-CoA and enhance the phytosterol biotransformation ability of MNR. Besides, glnR-deficient strains can better adapt to a low nitrogen source environment and reduce nitrogen source consumption in AD production. These findings provide new insights into the enhancement of the production capacity of steroid precursors of mycobacteria and the reduction of the cost of using nitrogen sources.

Availability of data and materials

All data generated or analyzed in this study are included in the published article.

Abbreviations

AD:

androstenedione

9α-OH-AD:

9α-hydroxyandrostenedione

MNR:

Mycobacterium neoaurum

MFT:

Mycobacterium fortuitum

prpC :

methylcitrate synthase gene

prpD :

methylcitrate dehydratase/hydratase gene

prpB :

methylisocitrate lyase gene

MMC:

methyl citrate cycle

prpR :

propionate regulator PrpR gene

glnR :

nitrogen transcription regulator GlnR gene

CoA:

coenzyme A

DCW:

dry cell weight

ROS:

reactive oxygen species

MCC:

2-methylcitrate cycle pathway

LB:

Luria–Bertani

KanR :

kanamycin resistance

qRT-PCR:

quantitative Reverse Transcription-PCR

mRNA:

messenger RNA

PBS:

phosphate-buffered saline

HPLC:

high-performance liquid

AcnD:

methylcitrate dehydratase

PrpF:

methylaconitate cis–trans isomerase

AcnB:

aconitase

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Acknowledgements

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Funding

This work was supported by the National Key R&D Program of China, Synthetic Biology Research (Grant No. 2019YFA0905300), the National Natural Science Foundation of China (Grant No. 21978221), the China Postdoctoral Science Foundation (Grant No. 2018M631748), the Innovation Project of Excellent Doctorial Dissertation of Tianjin University of Science and Technology (Grant No. 2019007), the Foundation of Key Laboratory of Industrial Fermentation Microbiology of Ministry of Education and Tianjin Key Laboratory of Industrial Microbiology (Grant No. 2018KF007), and the Natural Science Foundation of Shandong Province of China (No. ZR2018QC002).

Author information

YZ and XZ contributed equally to this work. YZ and XZ performed most of the experiments, data analyses, and interpretation. YS designed and supervised the research and edited the manuscript aspects of this work. XW and LW designed and participated in the experimental aspects of this work. MX and JL helped edit the manuscript. MW supervised the research and edited the manuscript. All authors read and approved the final manuscript.

Correspondence to Yang Zhang or Yanbing Shen or Min Wang.

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Zhang, Y., Zhou, X., Wang, X. et al. Improving phytosterol biotransformation at low nitrogen levels by enhancing the methylcitrate cycle with transcriptional regulators PrpR and GlnR of Mycobacterium neoaurum. Microb Cell Fact 19, 13 (2020). https://doi.org/10.1186/s12934-020-1285-8

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Keywords

  • Mycobacterium neoaurum
  • Androstenedione
  • Methylcitrate cycle
  • Transcriptional regulator
  • Nitrogen level