Next Article in Journal
Structural Stability Comparisons Between Natural and Engineered Group II Chaperonins: Are Crenarchaeal “Heat Shock” Proteins Also “pH Shock” Resistant?
Previous Article in Journal
Kiwifruit Vine Decline Syndrome (KVDS) Alters Soil Enzyme Activity and Microbial Community
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effect of TetR Family Transcriptional Regulator PccD on Phytosterol Metabolism of Mycolicibacterium

School of Pharmaceutical Sciences and Food Engineering, Liaocheng University, Liaocheng 252059, China
*
Authors to whom correspondence should be addressed.
Microorganisms 2024, 12(11), 2349; https://doi.org/10.3390/microorganisms12112349
Submission received: 22 August 2024 / Revised: 15 November 2024 / Accepted: 16 November 2024 / Published: 18 November 2024
(This article belongs to the Special Issue Microbial Metabolic Engineering Technology)

Abstract

:
Androstenedione (AD) is an important intermediate for the production of steroidal drugs. The process of transforming phytosterols into AD by Mycolicibacterium is mainly the degradation process of the phytosterol side chain, and the excessive accumulation of propionyl-CoA produced by Mycobacterium will produce toxic effects, which seriously restricts the transformation performance of strains. In this study, Mycolicibacterium sp. LZ2 (Msp) was used as the research object to study the transcription factor PccD of the TetR family, which has the role of propionyl-CoA metabolism regulation. By constructing overexpression and deletion strains of pccD, it was confirmed that pccD had an inhibitory effect on the transcription of propionyl-CoA carboxylase genes (pccA and pccB). Electrophoretic Mobility Shift Assay (EMSA) and DNase I footprint analysis demonstrated that PccD is directly involved in the transcriptional regulation of pccA and pccB and is a negative transcriptional regulator of the pcc operon. In the study of phytosterol transformation, the growth rate and bacterial viability of Msp-ΔpccD were higher than Msp, but the growth of Msp-pccD was inhibited. As a result of testing of intracellular propionyl-CoA levels and AD production yields, it was found that lower propionyl-CoA levels and higher AD production yields were observed in Msp-ΔpccD. The results expand the cognition of propionyl-CoA metabolism regulation and provide a theoretical basis and reference for the rational transformation of phytosterol transformation strains and secondary metabolite synthesis strains with propionyl-CoA as a substrate, which has important research significance.

1. Introduction

Steroids are the second largest class of drugs after antibiotics. It has remarkable physiological and pharmacological functions, such as anti-allergy, anti-infection and anti-shock [1,2]. Androst-4-ene-3, 17-dione (androstenedione, AD), the main steroid pharmaceutical intermediate, can synthesize almost all steroid hormone drugs [3]. The establishment of a technical system for the synthesis of AD by microbial transformation using phytosterols as substrates successfully solved the problem of depletion of natural resources for chemical synthesis using dioscin as raw material. This technology also opens up a new way for the sustainable development of the global steroid hormone industry and has become the main production method of steroid hormone drugs [4]. In recent years, with the rapid development of biological fermentation, enzyme transformation, and omics technology, Mycolicibacterium has been listed as an important production strain for the production of various steroid drug intermediates such as AD. On the basis of the strain, the sterol metabolic pathway was modified by means of genetic engineering breeding to produce a new modified strain. This method has qualitatively improved the production capacity of various steroidal drug intermediates such as AD. The process of Mycolicibacterium sp. LZ2 metabolizing phytosterol to synthesize AD is mainly the β-like oxidation process of the phytosterol side chain, which will produce a large amount of acetyl-CoA and propionyl-CoA, and the amount of propionyl-CoA is at least twice that of acetyl-CoA [5]. Existing studies have shown that propionyl-CoA inhibits enzymes of the central metabolic pathways, such as pyruvate dehydrogenase, succinyl-CoA synthetase, and citrate lyase [6,7,8,9]. Therefore, whether human or microbial, excessive accumulation of propionyl-CoA in cells will produce toxicity and a stress response [10,11,12,13].
In Mycobacteriaceae microorganisms, there are multiple pathways to metabolize propionyl-CoA for detoxification. One is the methyl citrate metabolism pathway (MCC) that converts propionyl-CoA to succinate [14]. The other is the methylmalonyl pathway (MMC) that converts propionyl-CoA to succinyl-CoA [15]. Propionyl-CoA carboxylase (PCC) plays a key role in the MMC pathway, so the MMC pathway is also called the PCC pathway [16]. In addition, methylmalonyl-CoA produced by propionyl-CoA will be further synthesized into polyketide virulence lipids, such as phthiocerol dimycocerosate (PDIM) and sulfolipid-1 [17]. Our previous study showed that intact MCC and MMC pathways also exist in Mycolicibacterium sp. LZ2, and interference with either pathway can affect AD synthesis [3,18]. Therefore, propionyl-CoA plays an important role in maintaining metabolic flux balance, energy supply, and detoxification during Mycobacteriaceae microorganisms’ utilization of phytosterol and odd-chain fatty acids [15,19,20]. However, for Msp to improve the yield and production efficiency of AD, it is necessary to enhance the degradation efficiency of the phytosterol side chain or increase the substrate concentration, which will lead to excessive accumulation of propionyl-CoA in cells [21,22]. Excessive accumulation of propionyl-CoA will lead to problems, such as a long conversion cycle and low product yield in AD production. Existing studies have shown that strengthening the MMC pathway in actinomycetes strains, such as Saccharopolyspora erythraea [23], Actinosynnema pretiosum [24], and Streptomyces hygroscopicus [25], can effectively increase the production of secondary metabolites. Our previous studies have demonstrated that overexpression of the β subunit gene (pccB) of PCC and co-expression with ndh in Mycobacterium neoaurum TCCC 11978 can achieve enhancement of the MMC pathway [3]. In Actinomycetes, acyl-CoA carboxylase (ACCase) is usually regulated by the TetR family of regulators. These regulators interact with various small molecule chemicals to regulate different physiological aspects of bacteria [26]. The TetR-type repressor (bkaR) was shown to regulate the branched-chain keto-acid metabolism in M. smegmatis and M. tuberculosis. A microarray analysis show that BkaR also has global regulatory functions, and some genes related to β oxidation can be directly regulated by it [27]. Therefore, in addition to regulating propionyl-CoA metabolism, BkaR may have the function of global regulation, and plays a regulatory role in metabolic processes such as phytosterol degradation, branched-chain keto acid metabolism and β oxidation. In S. erythraea, PccD, a homolog of BkaR, has a negative regulatory function on propionyl-CoA assimilation [16,28], in addition to the regulatory function of branched-chain amino acid degradation. Knockdown of its encoding gene pccD can relieve its inhibition of MMC and branched-chain amino acid degradation pathways, thus significantly increasing erythromycin yield [16]. Similarly, in Streptomyces avermitilis, a TetR Family Transcriptional Repressor (AccR) negatively regulates acetyl-CoA and propionyl-CoA production and carboxylation. Knockdown of the AccR-encoding gene increased abamectin production by 14.5% [29]. The TetR family transcriptional regulator (BkdR) in Streptomyces albus B4 chassis regulates the supply of precursors required for heterologous spinosad biosynthesis by controlling acetyl-CoA and propionyl-CoA assimilation. Deleting the BkdR-encoding gene increases the production of heterologous spinosad [26].
Transcription regulators play a regulatory role in the transcription level in response to environmental or cell signals. The changes in their expression and regulatory ability play an important role in maintaining the survival status and productivity of strains [30]. There are few reports on the metabolic regulation mechanism of propionyl-CoA, an intermediate product, in transforming phytosterols into AD by Mycolicibacterium. Our previous studies have confirmed that the transcription factor PrpR can regulate the level of propionyl coenzyme A in cells through the MCC pathway, thus affecting the synthesis of AD, but the molecular mechanism of the MMC pathway of propionyl coenzyme A metabolism in Mycolicibacterium sp. LZ2 has not been studied. In order to study the metabolism of propionyl coenzyme A by the MMC pathway and the molecular mechanism affecting the metabolism of propionyl coenzyme A, the research work of this paper was carried out. By consulting the literature, the transcription factor genes that have been identified to regulate the MMC pathway were compared with the whole genome of Mycolicibacterium sp. LZ2, and the target gene D174_19740 (pccD) with the highest similarity was located, encoding the TetR family regulatory protein (PccD), so the research on the regulation mechanism of transcription factor PccD was carried out. In order to study the effect of transcription factor PccD on the physiological properties of the strain, pccD knockout and overexpression strains were constructed to evaluate the growth status and AD production performance of the strain. In order to study the regulatory mechanism of transcription factor PccD on the adjacent pccA and pccB genes encoding propionyl-CoA carboxylase, RT-qPCR experiments were carried out. It was found that the transcription factor PccD had a negative regulatory effect on the pccA and pccB genes encoding propionyl-CoA carboxylase. In order to study whether the transcription factor PccD directly interacts with the regulatory regions of pccA and pccB, and to clarify the specific binding sites, EMSA and DNase I footprinting experiments were carried out. It was found that the transcription factor PccD binds to the upstream promoter region of pccA and pccB genes and inhibits propionyl coenzyme A metabolism. The molecular mechanism of the transcription factor PccD regulating target genes was clarified. The intracellular propionyl-CoA level was analyzed to elucidate the mechanism of transcription factor PccD’s influence on intracellular propionyl-CoA metabolism and the mechanism of transcription factor PccD’s influence on AD synthesis by regulating propionyl-CoA metabolism.

2. Materials and Methods

2.1. Strains and Cultivation Conditions

The strains, primers, and plasmids used in this study are shown in Table 1. E. coli DH5α was used to construct plasmids and cultured in a Luria–Bertani (LB) medium at 37 °C. The Mycolicibacterium sp. LZ2 (Msp) was used as the wild-type strain. Since Msp is highly homologous to Mycolicibacterium neoaurum VKM Ac-1815D, for which the complete genome sequence is available. pMV261 was used for gene overexpression; p2NIL and pGOAL19 were used to construct suicide knockout plasmids. The preparation of inclined colonies, seeds, and fermentation experiments were carried out according to the previous description [31].

2.2. Construction of Recombinant Strains

Gene overexpression and deletion methods have been reported in previous studies [18]. In Msp, the vector pMV261 with kanamycin (kan) resistance was used to overexpress the target gene. The pccD gene was amplified from the Msp genome and recombined with linearized pMV261 by the In-Fusion HD Cloning method to produce a recombinant plasmid designated pMV261-pccD. Electroporation introduced the recombinant plasmid into Msp, and the overexpression recombinant strain Msp-pccD was obtained. The steps of constructing the pccD knockout plasmid are described as follows: using the Msp genome as a template, PCR amplification obtained recombinant fragments of 1120 bp upstream and 1200 bp downstream of pccD. The two fragments were ligated to plasmid p2NIL, digested with PacI, and ligated to the selection marker cassette of pGOAL19 to construct the homologous recombination plasmid p2G19-pccD. The constructed plasmid was transferred into Msp cells by electroporation and screened for positive results, and the screened pccD knockout strain was named Msp-ΔpccD.

2.3. Isolation of RNA and Quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR) Analyses

For qRT-PCR analysis, the strains were cultured for 60 h and collected by centrifugation at 8000× g for 10 min at 4 °C. RNA was extracted using the TRIzol Plus RNA Purification Kit (Invitrogen (Waltham, MA, USA), # 12183555) following the protocol provided with the kit, followed by cDNA synthesis using the FastKing RT Kit (TIANGEN (Beijing, China), # KR116). Real-time quantitative PCR was performed using SYBR Green PCR reagent (TIANGEN, # FP205). PCR cycle parameters: 95 °C for 15 min, then 40 cycles, 95 °C for 10 s, 55 °C for 30 s, 72 °C for 30 s, and finally extension at 72 °C for 10 min. The 16S rRNA was used as a control to normalize sampling errors [34]. Relative gene expression levels were calculated by the comparative Ct method (2−ΔΔCt method) [35].

2.4. Protein Overexpression and Purification

The pccD gene was amplified from the Msp genome, and the fragment was ligated to the linear pET-30a (+) vector by a seamless cloning method. The recombinant plasmid was transferred into the competent state of E. coli BL21 (DE3), and the positive clone was detected and screened for sequencing verification. The successful recombinant plasmid was transferred into competent E. coli Rosetta (DE3) for expression. The monoclonal colonies were picked and cultured in LB liquid medium containing 30 µg/mL kanamycin and 34 µg/mL chloramphenicol at 37 °C for 12 h, and the bacteria were preserved. The plasmid was extracted for enzyme digestion verification. The successfully verified bacterial solution was inoculated into 50 mL LB liquid medium containing 30 µg/mL kanamycin and 34 µg/mL chloramphenicol for culture. When the OD value reached 0.6, 0.5 mM inducer IPTG was added and cultured at 20 °C overnight for a large amount of expression, and the cells were collected by centrifugation. The cells were dissolved with 50 mM Tris, 300 mM NaCl, 0.2 mM PMSF, 0.1% Triton X-100 (pH 8.0), sonicated, and the supernatant crude protein was collected by centrifugation. Take 5 mL of Ni-NTA and wash the equilibrium column with a binding buffer of 5 times the column bed volume. The crude protein was incubated with the equilibrated column packing for 1 h, and the effluent was collected. Clean the balancing column with a binding buffer. The column was washed with the washing buffer, and the effluent was collected. Elute with an elution buffer to collect the effluent. The crude protein and effluent components were treated separately, samples were prepared, and SDS-PAGE detection was carried out.

2.5. Gel Migration Experiment (EMSA)

PCR probe preparation was performed using puc57 plasmid with promoter sequences upstream of the pccA and pccB genes as templates and primers M13-f and M13-r with FAM fluorescent labels. The obtained PCR product was mixed with 6× loading Buffer and then detected by agarose gel electrophoresis with 2% TAE gel at 160 V for 15 min. All PCR products were recovered using the DiaSpin Column PCR Product Purification Kit (Sangon Biotech). The purified FAM-labeled DNA probe was combined with the purified gradient concentration of protein by reaction at room temperature 25 °C for 30 min using an EMSA kit (Sangon Biotech). Then, 6% non-denaturing PAGE gel was prepared, the EMSA reaction product was added to the gel wells, and the pre-electrophoresis solution containing 0.5× TBE non-denaturing gel was used for 60 V constant pressure for 30 min. Then electrophoresis at 170 V low temperature for 30 min, and the bands were detected by a fluorescent gel imager.

2.6. DNase I Footprinting

As in the EMSA reaction system, the purified FAM-labeled DNA probe was bound to the purified gradient protein concentration at room temperature at 25 °C for 30 min. After the reaction, add 5 µL of enzyme digestion system containing 10× React buffer (Thermo Fisher Scientific, Shanghai, China, EN0521), 1 M CaCl2, DNase I, and Nuclease-free water to the protein and DNA binding product, react at 37 °C for 55 s, then immediately add 10 µL of 0.5 M EDTA, mix well, and inactivate at 65 °C for 10 min to terminate the reaction. Then, the reaction product was recovered through the column with a DiaSpin column PCR product purification kit (Sangon Biotech) and sent to Shanghai Sangon Biotech for sequencing.

2.7. Determination and Analytical Methods

2.7.1. Cell Growth and Bacterial Viability Detection

The growth of cells was determined by optical density in a medium free of phytosterols. However, cell growth in a culture medium containing phytosterols is challenging to measure by using this method. In this study, the cells extracted with ethyl acetate were resuspended in PBS, and then the absorbance value of OD600 was measured with a microplate reader to obtain the cell growth curve. Bacterial viability assays were performed using previously reported methods. The 2-(2-methoxy-4-nitrophenyl)-3-(4-nitrophenyl)-5-(2,4-disulfobenzene)-2H-tetrazole monosodium salt (WST-8) was reduced to formazan by bacteria, and its production amount and bacterial activity were positively correlated. After adjusting the OD600 value to 1 with pH 7.2 Tris-HCl buffer, 190 µL was added to a 96-well plate, and 10 µL of WST-8 were added to each well. After incubation at 30 °C for 1 h, the absorption value of 450 nm was detected with a microplate reader. Bacterial viability was reflected by the OD450 value.

2.7.2. Determination of Intracellular Propionyl-CoA

Intracellular propionyl-CoA levels were detected using a modified method previously described by Xu et al. [16]. During the fermentation of Msp, Msp-pccD and Msp-ΔpccD, samples were taken every 24 h to analyze intracellular propionyl-CoA content. The collected cells were washed twice with pre-cooled phosphate-buffered saline (PBS, pH 8.0), then lysed on ice by adding lysis buffer (SDS lysate and 10% HCl) for 5 min, and shaken and milled for 2 min using a high-throughput tissue grinder (working for 10 s, stopping for 10 s), then frozen at −80 °C overnight, shaken and milled again for 1 min after thawing, and 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. After loading, the extraction column was washed with 95% methanol. This was followed by elution with 5% methanol. The collected eluate was stored at −80 °C until analysis. High performance liquid chromatography (HPLC) analysis was performed using a reversed phase C18 column (250 × 4.6 mm) at a column temperature of 25 °C. The two mobile phase solvents used were buffer A (methanol) and buffer B (100 mM ammonium acetate, pH 5.8), respectively. Linear gradient elution was performed at a flow rate of 0.5 mL/min with elution conditions: 10% to 20% A (0–5 min), 20% to 38% A (5–15 min), 38% A (15–17 min), 38% to 10% A (17–19 min), and data acquisition was stopped at 30 min. A calibration curve was prepared using a propionyl-CoA standard working solution. The propionyl-CoA concentration was calculated for each sample by inserting sample measurements into the standard curve.

2.7.3. Analysis of Product AD

In the process of phytosterol conversion, samples were taken every 24 h, an equal volume of ethyl acetate was added to 0.8 mL of fermentation broth, ultrasonic extraction was carried out for 30 min, centrifugation at 12,000× g for 10 min, and 100 μL of the extract was dried at room temperature and dissolved in 1 mL of 80% methanol, centrifugation at 12,000× g for 20 min, and HPLC analysis was performed. HPLC analysis was performed according to the previously described method [31].

2.7.4. Statistical Analysis Methods for Data in the Article

For the data that requires statistical analysis in the article, we used GraphPad Prism 8.02(263) and Origin 2024 for processing and conducted unpaired t-tests and ANOVA analysis. All data were repeated three times * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001.

3. Results and Discussion

3.1. Genome Analysis Shows That the PCC Gene Operon Is Conserved in Actinomycetes

The PCC pathway-related gene cluster was analyzed for Mycolicibacterium smegmatis MC2 155 (msm), Mycolicibacterium neoaurum VKM Ac-1815D (mne), Mycobacterium sp. VKM Ac-1817D (myv), Streptomyces avermitilis MA-4680 (sma), and Streptomyces albidoflavus J1074 (salb) using the SSDB database of Kyoto Encyclopedia of Genes and Genomes (KEGG). Multiple putative pcc genes were present in all strains of interest, but the putative gene capable of constituting operon with the adjacent TetR-type repressor gene was unique. Through gene structure and sequence alignment analysis, the PCC pathway gene cluster was found to be conserved in actinomycetes (Figure 1). The regulator gene, which has been confirmed to have a regulatory effect on PCC, was compared with the whole genome gene of M. neoaurum VKM Ac-1815D, and the target gene with the highest similarity was located as D174_19740. The D174_19740 has 68% homology to bkaR (MSMEG_4718) of M. smegmatis MC2 155, 45% homology to accR (SAVERM_5279) of S. avermitilis MA-4680 (sma), and 43% homology to bkdR (XNR_4213) of S. albidoflavus J1074. By analyzing the genes adjacent to D174_19740, the results indicate that D174_19735 encodes the β subunit of propionyl-CoA carboxylase (PccB), and D174_19730 encodes the α subunit of propionyl-CoA carboxylase (PccA). The gene cluster of pcc in Msp was named pcc operon, and the genes homologous to D174_19730, D174_19735 and D174_19740 were named pccA, pccB, and pccD, respectively.

3.2. The Transcription Factor PccD Directly Inhibits the Expression of pccA and pccB Genes

To study the expression regulation of the transcription factor PccD on the adjacent pccA and pccB, a pccD overexpressing bacterium named Msp-pccD was constructed in Msp. A pccD knockout strain was constructed by homologous recombination and designated as Msp-ΔpccD. The strains were cultured to the logarithmic phase for 60 h, RNA was extracted, and the transcription levels of pccA, pccB, and pccD in Msp, Msp-pccD, and Msp-ΔpccD were analyzed by qRT-PCR (Figure 2). The results showed that after the pccD gene was knocked out, the transcription of pccD could not be detected. The transcription level of pccD in bacteria overexpressing Msp-pccD was 15 times higher than that of Msp. Correspondingly, deletion of the pccD gene resulted in an 11-fold and 9-fold up-regulation of the gene expression levels of pccA and pccB, respectively. By contrast, overexpression of pccD resulted in a 6-fold and 3-fold down-regulation of the gene transcription levels of pccA and pccB, respectively. These results suggest that the transcription factor PccD inhibits the expression of pccA and pccB genes.

3.3. Transcription Factor PccD Binds to Promoter Regions Upstream of pccA and pccB Genes

The gene structure analysis of the pcc gene cluster showed that pccA and pccB share the same promoter, which is in the opposite direction to the downstream pccD gene. The intergenic regions between pccA and pccB and pccD are very short. Through sequence alignment, it is found that Msp has similar structures to the DNA binding sequences of BkaR and AccR of strains such as M. smegmatis MC2 155 and S. avermitilis MA-4680. Computational analysis of the pccA and pccB promoter of all the species tested using MEME identified a palindromic motif with two highly conserved cores (Figure 3a). Therefore, it is reasonable to assume that the TetR family protein PccD is a transcriptional regulator of pccA and pccB. To determine whether PccD directly interacts with the pccA and pccB regulatory regions, EMSA experiments were performed using FAM-labeled DNA probes of His-PccD and the upstream regions of the pccA and pccB genes. As shown in the results of in vitro experiments in Figure 3b, the motifs upstream of the pccA and pccB genes were significantly shifted in the bands after incubation with His-PccD protein (Figure 3b). Thus, the transcription factor PccD can bind to motifs upstream of the pccA and pccB genes. To elucidate the regulatory mechanism of PccD on the transcription of the pccA and pccB genes and determine the precise DNA binding site of PccD, DNase I footprinting experiments were performed with His-PccD protein and FAM-labeled probes made from the upstream regulatory regions of pccA and pccB genes. As can be seen from Figure 3c, there is apparent binding between the PccD protein and the probe of interest, forming a protected area on the probe. These results indicate that PccD specifically binds to the GTCCATTTGAGTTAATCAT and ATGGTATGTTAATCGTAATTAAC sequences within the pccA and pccB promoter regions. Thus, PccD inhibits transcription of the pccA and pccB genes by blocking the ligation of RNA polymerase to its promoter, thereby preventing transcription initiation and extension.

3.4. Regulation of Propionyl-CoA Metabolism by Transcription Factor PccD

Msp produces a toxic intermediate propionyl-CoA while metabolizing phytosterols to AD. Previous studies have shown that enhancing the intracellular PCC pathway is helpful to the growth of strains in a medium containing phytosterols, and the cell viability and AD transformation yield of recombinant bacteria are effectively improved [3]. To study the effect of PccD on the metabolism of phytosterols by Msp, Msp, Msp-pccD, and Msp-ΔpccD strains were cultured in a medium containing 5 g/L phytosterols, and samples were taken every 24 h to observe the growth and bacterial viability of each strain (Figure 4a,b). The results showed that the growth status and bacterial viability of Msp-ΔpccD were higher than those of Msp, which may be because the deletion of pccD relieved its inhibition of pccB and pccA gene transcription. The increase of PCC promoted the metabolism of propionyl-CoA. Contrary to the situation of the Msp-ΔpccD strain, the growth rate and bacterial viability of the Msp-pccD strain were lower than those of Msp. The reason may be that the excess PccD produced by overexpression of PccD enhances the inhibition of pccB and pccA gene transcription and thus reduces the production of PCC. Eventually, excess propionyl-CoA has a toxic effect on the strain. To verify this speculation, intracellular propionyl-CoA concentrations of Msp, Msp-pccD, and Msp-ΔpccD grown on a phytosterol-containing medium were measured. The results showed that the deletion of pccD did promote the metabolism of propionyl-CoA, resulting in the decrease of intracellular propionyl-CoA concentration, which was more obvious at 120 h than 72 h of fermentation; whereas overexpression of pccD led to an increase in intracellular propionyl-CoA concentration (Figure 4c). Taken together, these observations further demonstrate that PccD is a transcriptional repressor of the pccB and pccA genes, which attenuates propionyl-CoA metabolism by reducing PCC production.

3.5. Deletion of the pccD Gene in Msp Improves AD Yield

The process of transforming phytosterol into AD in Mycolicibacterium is mainly the process of phytosterol side-chain degradation. Excessive accumulation of propionyl-CoA produced by side-chain degradation will have toxic effects on strains and seriously restrict the performance of strains in transforming AD [2,18]. From the above results, it is speculated that the deletion of pccD can enhance propionyl-CoA metabolism by Msp, which is beneficial to the production of AD from phytosterols. To verify this speculation, the AD transformation yields of Msp, Msp-pccD, and Msp-ΔpccD strains were compared using a fermentation medium containing 5 g/L phytosterol. The results showed that the deletion of the pccD gene significantly improved the productivity of the strain. Compared with Msp, the Msp-ΔpccD strain increased the AD transformation yield by 8.75%. However, the AD transformation yield of the pccD overexpressing strain Msp-pccD decreased by 9.88% compared with the original Msp strain (Figure 5). It can be seen that PccD affects the AD production performance of strains by regulating the metabolism of propionyl-CoA.

4. Conclusions

The excessive propionyl-CoA produced by the conversion of phytosterols by Mycolicibacterium sp. LZ2 will have a toxic effect on the strain. The metabolism of propionyl-CoA needs to be strictly regulated to prevent its accumulation and reduce toxicity. There are two pathways metabolizing propionyl-CoA in Mycolicibacterium sp. LZ2, MCC, and MMC pathways. In the MMC pathway, propionyl-CoA generates succinyl-CoA through a series of enzymes such as propionyl-CoA carboxylase to further synthesize AD. However, because the molecular mechanism of the MMC pathway of propionyl-CoA metabolism in Mycolicibacterium sp. LZ2 is not clear, we carried out this study. In this study, the transcription factor genes identified in the literature that can regulate the MMC pathway were compared with the whole genome of Mycolicibacterium sp. LZ2, and the most similar target gene D174_19740 (pccD) was located, encoding the TetR family regulatory protein (PccD). Therefore, the regulation mechanism of transcription factor PccD was studied. EMSA and DNase I footprinting assays in vitro verified that the TetR family transcription factor PccD encoded by the pccD gene can directly interact with the upstream promoter region of the pccB and pccA genes encoding PCC on the MMC pathway to inhibit the transcription of the pccB and pccA genes.
In this paper, succinate, an intermediate metabolite in the propionate metabolic pathway, was shown to affect the binding activity of the transcription factor PccD to the pccB and pccA genes. After the pccD gene was knocked down, the transcription of pccD could not be detected, while the transcription level of pccD in Msp-pccD strain was 15 times that of Msp. Correspondingly, deletion of the pccD gene resulted in an 11-fold and 9-fold increase in the gene expression levels of pccB and pccA, respectively; while overexpression of pccD resulted in a 6-fold and 3-fold decrease in the gene transcription levels of pccB and pccA, respectively. In addition, lower propionyl-CoA levels and higher AD conversion yields were observed in the Msp-ΔpccD strain compared to the wild-type strain. Based on the above experimental results, we proposed a regulatory mechanism model of the transcription factor PccD in Mycolicibacterium sp. LZ2 regulating the MMC pathway (Figure 6).

Author Contributions

Conceptualization, X.Z. and Y.Z.; methodology, P.X. and Y.Z.; software, P.X. and Y.Z.; validation, P.X. and F.L.; formal analysis, P.X. and P.X.; investigation, D.P., P.X., F.L., Y.L., Y.H. and X.Z.; resources, X.Z. and Y.Z.; data curation, P.X.; writing—original draft preparation, D.P., P.X. and Y.Z.; writing—review and editing, P.X., X.Z. and Y.Z.; visualization, P.X. and Y.Z.; supervision, X.Z.; project administration, Y.Z.; funding acquisition, Y.Z. and X.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (32100065 and 32300031), Shandong Province Youth Entrepreneurship Technology Support Program for Higher Education Institutions (2023KJ207), the Natural Science Foundation of Shandong Province of China (ZR2023MB095).

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding authors.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Peng, H.; Wang, Y.; Jiang, K.; Chen, X.; Zhang, W.; Zhang, Y.; Deng, Z.; Qu, X. A Dual Role Reductase from Phytosterols Catabolism Enables the Efficient Production of Valuable Steroid Precursors. Angew. Chem. Int. Ed. 2020, 60, 5414–5420. [Google Scholar] [CrossRef] [PubMed]
  2. Zhang, Y.; Xiao, P.; Pan, D.; Zhou, X. New Insights into the Modification of the Non-Core Metabolic Pathway of Steroids in Mycolicibacterium and the Application of Fermentation Biotechnology in C-19 Steroid Production. Int. J. Mol. Sci. 2023, 24, 5236. [Google Scholar] [CrossRef] [PubMed]
  3. Zhou, X.; Zhang, Y.; Shen, Y.; Zhang, X.; Zhang, Z.; Xu, S.; Luo, J.; Xia, M.; Wang, M. Economical Production of Androstenedione and 9α-Hydroxyandrostenedione Using Untreated Cane Molasses by Recombinant Mycobacteria. Bioresour. Technol. 2019, 290, 121750. [Google Scholar] [CrossRef] [PubMed]
  4. Shao, M.; Zhang, X.; Rao, Z.; Xu, M.; Yang, T.; Xu, Z.; Yang, S. Identification of Steroid C27 Monooxygenase Isoenzymes Involved in Sterol Catabolism and Stepwise Pathway Engineering of Mycobacterium Neoaurum for Improved Androst-1,4-Diene-3,17-Dione Production. J. Ind. Microbiol. Biotechnol. 2019, 46, 635–647. [Google Scholar] [CrossRef]
  5. Szentirmai, A. Microbial Physiology of Sidechain Degradation of Sterols. J. Ind. Microbiol. 1990, 6, 101–115. [Google Scholar] [CrossRef]
  6. Shaw, L.; Engel, P.C. The Suicide Inactivation of Ox Liver Short-Chain Acyl-CoA Dehydrogenase by Propionyl-CoA. Formation of an FAD Adduct. Biochem. J. 1985, 230, 723–731. [Google Scholar] [CrossRef]
  7. Schwab, M.A.; Sauer, S.W.; Okun, J.G.; Nijtmans, L.G.J.; Rodenburg, R.J.T.; van den Heuvel, L.P.; Dröse, S.; Brandt, U.; Hoffmann, G.F.; Ter Laak, H.; et al. Secondary Mitochondrial Dysfunction in Propionic Aciduria: A Pathogenic Role for Endogenous Mitochondrial Toxins. Biochem. J. 2006, 398, 107–112. [Google Scholar] [CrossRef]
  8. Gregersen, N. The Specific Inhibition of the Pyruvate Dehydrogenase Complex from Pig Kidney by Propionyl-CoA and Isovaleryl-CoA. Biochem. Med. 1981, 26, 20–27. [Google Scholar] [CrossRef]
  9. Brock, M.; Buckel, W. On the Mechanism of Action of the Antifungal Agent Propionate. Eur. J. Biochem. 2004, 271, 3227–3241. [Google Scholar] [CrossRef]
  10. Wongkittichote, P.; Mew, N.A.; Chapman, K.A. Propionyl-CoA Carboxylase—A Review. Mol. Genet. Metab. 2017, 122, 145–152. [Google Scholar] [CrossRef]
  11. Rhee, K.Y.; Carvalho, L.P.S.; Bryk, R.; Ehrt, S.; Marrero, J.; Park, S.W.; Schnappinger, D.; Venugopal, A.; Nathan, C. Central Carbon Metabolism in Mycobacterium Tuberculosis: An Unexpected Frontier. Trends Microbiol. 2011, 19, 307–314. [Google Scholar] [CrossRef] [PubMed]
  12. Lee, W.; VanderVen, B.C.; Fahey, R.J.; Russell, D.G. Intracellular Mycobacterium Tuberculosis Exploits Host-Derived Fatty Acids to Limit Metabolic Stress. J. Biol. Chem. 2013, 288, 6788–6800. [Google Scholar] [CrossRef] [PubMed]
  13. Hayden, J.D.; Brown, L.R.; Gunawardena, H.P.; Perkowski, E.F.; Chen, X.; Braunstein, M. Reversible Acetylation Regulates Acetate and Propionate Metabolism in Mycobacterium Smegmatis. Microbiology 2013, 159, 1986–1999. [Google Scholar] [CrossRef] [PubMed]
  14. Munoz-Elias, E.J.; Upton, A.M.; Cherian, J.; McKinney, J.D. Role of the Methylcitrate Cycle in Mycobacterium Tuberculosis Metabolism, Intracellular Growth, and Virulence. Mol. Microbiol. 2006, 60, 1109–1122. [Google Scholar] [CrossRef]
  15. Savvi, S.; Warner, D.F.; Kana, B.D.; McKinney, J.D.; Mizrahi, V.; Dawes, S.S. Functional Characterization of a Vitamin B12-Dependent Methylmalonyl Pathway in Mycobacterium Tuberculosis: Implications for Propionate Metabolism during Growth on Fatty Acids. J. Bacteriol. 2008, 190, 3886–3895. [Google Scholar] [CrossRef]
  16. Xu, Z.; Wang, M.; Ye, B.-C. TetR Family Transcriptional Regulator PccD Negatively Controls Propionyl Coenzyme A Assimilation in Saccharopolyspora Erythraea. J. Bacteriol. 2017, 199, e00281-17. [Google Scholar] [CrossRef]
  17. Roth, A.T.; Philips, J.A.; Chandra, P. The Role of Cholesterol and Its Oxidation Products in Tuberculosis Pathogenesis. Immunometabolism 2024, 6, e00042. [Google Scholar] [CrossRef]
  18. Zhang, Y.; Zhou, X.; Wang, X.; Wang, L.; Xia, M.; Luo, J.; Shen, Y.; Wang, M. Improving Phytosterol Biotransformation at Low Nitrogen Levels by Enhancing the Methylcitrate Cycle with Transcriptional Regulators PrpR and GlnR of Mycobacterium Neoaurum. Microb. Cell Fact. 2020, 1, 13. [Google Scholar] [CrossRef]
  19. Eoh, H.; Rhee, K.Y. Methylcitrate Cycle Defines the Bactericidal Essentiality of Isocitrate Lyase for Survival of Mycobacterium Tuberculosis on Fatty Acids. Proc. Natl. Acad. Sci. USA 2014, 111, 4976–4981. [Google Scholar] [CrossRef]
  20. Griffin, J.E.; Pandey, A.K.; Gilmore, S.A.; Mizrahi, V.; McKinney, J.D.; Bertozzi, C.R.; Sassetti, C.M. Cholesterol Catabolism by Mycobacterium Tuberculosis Requires Transcriptional and Metabolic Adaptations. Chem. Biol. 2012, 19, 218–227. [Google Scholar] [CrossRef]
  21. Liu, M.; Xiong, L.-B.; Tao, X.; Liu, Q.-H.; Wang, F.-Q.; Wei, D.-Z. Metabolic Adaptation of Mycobacterium Neoaurum ATCC 25795 in the Catabolism of Sterols for Producing Important Steroid Intermediates. J. Agric. Food Chem. 2018, 66, 12141–12150. [Google Scholar] [CrossRef] [PubMed]
  22. Sun, W.-J.; Wang, L.; Liu, H.-H.; Liu, Y.-J.; Ren, Y.-H.; Wang, F.-Q.; Wei, D.-Z. Characterization and Engineering Control of the Effects of Reactive Oxygen Species on the Conversion of Sterols to Steroid Synthons in Mycobacterium Neoaurum. Metab. Eng. 2019, 56, 97–110. [Google Scholar] [CrossRef] [PubMed]
  23. Reeves, A.; Brikun, I.; Cernota, W.; Leach, B.; Gonzalez, M.; Markweber, J. Engineering of the Methylmalonyl-CoA Metabolite Node of Saccharopolyspora Erythraea for Increased Erythromycin Production. Metab. Eng. 2007, 9, 293–303. [Google Scholar] [CrossRef] [PubMed]
  24. Zhao, M.; Fan, Y.; Wei, L.; Hu, F.; Hua, Q. Effects of the Methylmalonyl-CoA Metabolic Pathway on Ansamitocin Production in Actinosynnema Pretiosum. Appl. Biochem. Biotechnol. 2016, 181, 1167–1178. [Google Scholar] [CrossRef] [PubMed]
  25. Jung, W.S.; Yoo, Y.J.; Park, J.W.; Park, S.R.; Han, A.R.; Ban, Y.H.; Kim, E.J.; Kim, E.; Yoon, Y.J. A Combined Approach of Classical Mutagenesis and Rational Metabolic Engineering Improves Rapamycin Biosynthesis and Provides Insights into Methylmalonyl-CoA Precursor Supply Pathway in Streptomyces Hygroscopicus ATCC 29253. Appl. Microbiol. Biotechnol. 2011, 91, 1389–1397. [Google Scholar] [CrossRef]
  26. Wang, W.; Tang, H.; Cui, X.; Wei, W.; Wu, J.; Ye, B.-C. Engineering of a TetR Family Transcriptional Regulator BkdR Enhances Heterologous Spinosad Production in Streptomyces Albus B4 Chassis. Appl. Environ. Microbiol. 2024, 90, e00838-24. [Google Scholar] [CrossRef]
  27. Balhana, R.J.C.; Swanston, S.N.; Coade, S.; Withers, M.; Sikder, M.H.; Stoker, N.G.; Kendall, S.L. bkaR Is a TetR-Type Repressor That Controls an Operon Associated with Branched-Chain Keto-Acid Metabolism in Mycobacteria. FEMS Microbiol. Lett. 2013, 345, 132–140. [Google Scholar] [CrossRef]
  28. Xu, Z.; Liu, Y.; Ye, B.-C. PccD Regulates Branched-Chain Amino Acid Degradation and Exerts a Negative Effect on Erythromycin Production in Saccharopolyspora Erythraea. Appl. Environ. Microbiol. 2018, 84, e00049-18. [Google Scholar] [CrossRef]
  29. Lyu, M.; Cheng, Y.; Han, X.; Wen, Y.; Song, Y.; Li, J.; Chen, Z. AccR, a TetR Family Transcriptional Repressor, Coordinates Short-Chain Acyl Coenzyme A Homeostasis in Streptomyces Avermitilis. Appl. Environ. Microbiol. 2020, 86, e00508-20. [Google Scholar] [CrossRef]
  30. Browning, D.F.; Busby, S.J.W. The Regulation of Bacterial Transcription Initiation. Nat. Rev. Microbiol. 2004, 2, 57–65. [Google Scholar] [CrossRef]
  31. Zhang, Y.; Zhou, X.; Yao, Y.; Xu, Q.; Shi, H.; Wang, K.; Feng, W.; Shen, Y. Coexpression of VHb and MceG Genes in Mycobacterium sp. Strain LZ2 Enhances Androstenone Production via Immobilized Repeated Batch Fermentation. Bioresour. Technol. 2021, 342, 125965. [Google Scholar] [CrossRef] [PubMed]
  32. Stover, C.K.; de la Cruz, V.F.; Fuerst, T.R.; Burlein, J.E.; Benson, L.A.; Bennett, L.T.; Bansal, G.P.; Young, J.F.; Lee, M.H.; Hatfull, G.F.; et al. New Use of BCG for Recombinant Vaccines. Nature 1991, 351, 456–460. [Google Scholar] [CrossRef] [PubMed]
  33. Parish, T.; Stoker, N.G. Use of a Flexible Cassette Method to Generate a Double Unmarked Mycobacterium Tuberculosis tlyA plcABC Mutant by Gene Replacement. Microbiology 2000, 146, 1969–1975. [Google Scholar] [CrossRef] [PubMed]
  34. Xu, J.-Z.; Wu, Z.-H.; Gao, S.-J.; Zhang, W. Rational Modification of Tricarboxylic Acid Cycle for Improving L-Lysine Production in Corynebacterium Glutamicum. Microb. Cell Fact. 2018, 17, 105. [Google Scholar] [CrossRef]
  35. Livak, K.J.; Schmittgen, T.D. Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef]
Figure 1. Genomic context of the PCC pathway gene cluster in mycobacteria and their close relatives. Grey shades represent conserved regions between genomes, and grey levels represent the Identity of adjacent genes, whose values are displayed in the shadows.
Figure 1. Genomic context of the PCC pathway gene cluster in mycobacteria and their close relatives. Grey shades represent conserved regions between genomes, and grey levels represent the Identity of adjacent genes, whose values are displayed in the shadows.
Microorganisms 12 02349 g001
Figure 2. Gene expression levels of pccA (a), pccB (b), and pccD (c) in Msp, Msp-pccD, and Msp-ΔpccD detected by qRT-PCR. These values are the mean of the standard deviations of three replicate experiments. ****, p < 0.0001 (unpaired t-test).
Figure 2. Gene expression levels of pccA (a), pccB (b), and pccD (c) in Msp, Msp-pccD, and Msp-ΔpccD detected by qRT-PCR. These values are the mean of the standard deviations of three replicate experiments. ****, p < 0.0001 (unpaired t-test).
Microorganisms 12 02349 g002
Figure 3. Transcription factor PccD binds to upstream promoter regions of pccA and pccB genes in Msp. (a) Genetic organization of the pcc operon in the Msp. (b) EMSA of His-PccD protein with upstream promoter regions of pccA and pccB. (c) Electropherograms of a DNase I digest of pccA and pccB promoter probe incubated with 2 μg of His-PccD.
Figure 3. Transcription factor PccD binds to upstream promoter regions of pccA and pccB genes in Msp. (a) Genetic organization of the pcc operon in the Msp. (b) EMSA of His-PccD protein with upstream promoter regions of pccA and pccB. (c) Electropherograms of a DNase I digest of pccA and pccB promoter probe incubated with 2 μg of His-PccD.
Microorganisms 12 02349 g003
Figure 4. PccD negatively regulates the metabolism of propionyl-CoA. (a) Growth curves of strains Msp, Msp-pccD and Msp-ΔpccD on phytosterol medium. (b) Cell viability of strains Msp, Msp-pccD and Msp-ΔpccD on phytosterol medium. (c) Intracellular propionyl-CoA concentrations of strains Msp, Msp-pccD, and Msp-ΔpccD were cultured in a phytosterol medium for 72 h and 120 h. The error bars represent the standard deviation of the three biological replicates. NS p > 0.05, *** p ≤ 0.001. (ANOVA analysis).
Figure 4. PccD negatively regulates the metabolism of propionyl-CoA. (a) Growth curves of strains Msp, Msp-pccD and Msp-ΔpccD on phytosterol medium. (b) Cell viability of strains Msp, Msp-pccD and Msp-ΔpccD on phytosterol medium. (c) Intracellular propionyl-CoA concentrations of strains Msp, Msp-pccD, and Msp-ΔpccD were cultured in a phytosterol medium for 72 h and 120 h. The error bars represent the standard deviation of the three biological replicates. NS p > 0.05, *** p ≤ 0.001. (ANOVA analysis).
Microorganisms 12 02349 g004
Figure 5. Yield of transformation of phytosterols into AD by strains Msp, Msp-pccD and Msp-ΔpccD. The error bars represent the standard deviation of the three biological replicates.
Figure 5. Yield of transformation of phytosterols into AD by strains Msp, Msp-pccD and Msp-ΔpccD. The error bars represent the standard deviation of the three biological replicates.
Microorganisms 12 02349 g005
Figure 6. The regulatory mechanism model of transcription factor PccD regulating MMC pathway.
Figure 6. The regulatory mechanism model of transcription factor PccD regulating MMC pathway.
Microorganisms 12 02349 g006
Table 1. Plasmids, strains and primers used in this study.
Table 1. Plasmids, strains and primers used in this study.
Strains, Plasmids, and PrimersSignificant PropertiesSource or PurposeReferences
strain
Mutant of BNCC191574Starting strainBeNa Culture Collection (Xinyang, China)[31]
Escherichia coli DH5αGeneral cloning host TransgenBiotech (Beijing, China)
E. coli BL21 (DE3)Gene expression hostSangon Biotech (Shanghai, China)
Msp-pccDpccD overexpressed This work strain of MspThis work
Msp-ΔpccDDeletion of pccD in MspThis work
plasmid
pMV261Shuttle vector of Mycobacterium and Escherichia coli, carrying the heat shock hsp60 promoter, KanROverexpression of target genes[32]
p2NILPlasmid for allelic exchange, non-replicative in Mycobacterium species, KanRKnockout plasmid construction[33]
pGOAL19lacZ, hyg, and sacB marker genes cassette, HygRKnockout plasmid construction[33]
pMV261-pccDpMV261 carrying an extra pccD for overexpression, KanRThis work
p2G19-pccDp2NIL carrying the homologous arms of pccD and the selection markers from pGOAL19This work
pET-30a (+)E. coli expression plasmidSangon Biotech (Shanghai, China)
pET-pccDInsertion of pccD gene at pET-30a (+) multiple cloning sites for heterologous expression of PccD proteinThis work
Primer
M13-fGTTGTAAAACGACGGCCAGPCR preparation of probes
M13-rCAGGAAACAGCTATGACPCR preparation of probes
pccD-fGGATCCAGCTGCAGAATTCATGCCCACTGAGACTCCGCGpccD amplification
pccD-rCGCTAGTTAACTACGTCGACTCAGTGCGCGGCGGGTCAAGGpccD amplification
pccD-U-fATAAACTACCGCATTAAAGCTTACAACACGCCGTTGTTGGCGpccD deletion
pccD-U-rCAGATCTCGATCGCCGGCCCGCTGACACpccD deletion
pccD-D-fCGGCGATCGAGATCTGGGTCGACGTACTpccD deletion
pccD-D-rTGACACTATAGAATACATAGGATCCGTACATGACCACCGGCCGGGpccD deletion
16s-f-RT/16s-r-RTGTAGGGTCCGAGCGTTGTC/GCGTCAGTTACTGCCCAGAGQuantitative RT-PCR
pccA-f-RT/pccA-r-RTGATGGAACACGCGCTCAAAG/ACTCCTTGCTTGCGGTGATGQuantitative RT-PCR
pccB-f-RT/pccB-r-RTTGTACGACGAATGTCCC/CTTCTTGACGGTGATCGGGTQuantitative RT-PCR
pccD-f-RT/pccD-r-RTGCATTTCGCCAACAAGGAGG/TCGATGAGTCTGTCCAGTGCQuantitative RT-PCR
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Xiao, P.; Pan, D.; Li, F.; Liu, Y.; Huang, Y.; Zhou, X.; Zhang, Y. Effect of TetR Family Transcriptional Regulator PccD on Phytosterol Metabolism of Mycolicibacterium. Microorganisms 2024, 12, 2349. https://doi.org/10.3390/microorganisms12112349

AMA Style

Xiao P, Pan D, Li F, Liu Y, Huang Y, Zhou X, Zhang Y. Effect of TetR Family Transcriptional Regulator PccD on Phytosterol Metabolism of Mycolicibacterium. Microorganisms. 2024; 12(11):2349. https://doi.org/10.3390/microorganisms12112349

Chicago/Turabian Style

Xiao, Peiyao, Delong Pan, Fuyi Li, Yuying Liu, Yang Huang, Xiuling Zhou, and Yang Zhang. 2024. "Effect of TetR Family Transcriptional Regulator PccD on Phytosterol Metabolism of Mycolicibacterium" Microorganisms 12, no. 11: 2349. https://doi.org/10.3390/microorganisms12112349

APA Style

Xiao, P., Pan, D., Li, F., Liu, Y., Huang, Y., Zhou, X., & Zhang, Y. (2024). Effect of TetR Family Transcriptional Regulator PccD on Phytosterol Metabolism of Mycolicibacterium. Microorganisms, 12(11), 2349. https://doi.org/10.3390/microorganisms12112349

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop