Abstract
Background
Acarbose is used in the treatment of diabetes mellitus type II and is produced by Actinoplanes sp. SE50/110. Although the biosynthesis of acarbose has been intensively studied, profound knowledge about transcription factors involved in acarbose biosynthesis and their binding sites has been missing until now. In contrast to acarbose biosynthetic gene clusters in Streptomyces spp., the corresponding gene cluster of Actinoplanes sp. SE50/110 lacks genes for transcriptional regulators.
Results
The acarbose regulator C (AcrC) was identified through an in silico approach by aligning the LacI family regulators of acarbose biosynthetic gene clusters in Streptomyces spp. with the Actinoplanes sp. SE50/110 genome. The gene for acrC, located in a head-to-head arrangement with the maltose/maltodextrin ABC transporter malEFG operon, was deleted by introducing PCR targeting for Actinoplanes sp. SE50/110. Characterization was carried out through cultivation experiments, genome-wide microarray hybridizations, and RT-qPCR as well as electrophoretic mobility shift assays for the elucidation of binding motifs. The results show that AcrC binds to the intergenic region between acbE and acbD in Actinoplanes sp. SE50/110 and acts as a transcriptional repressor on these genes. The transcriptomic profile of the wild type was reconstituted through a complementation of the deleted acrC gene. Additionally, regulatory sequence motifs for the binding of AcrC were identified in the intergenic region of acbE and acbD. It was shown that AcrC expression influences acarbose formation in the early growth phase. Interestingly, AcrC does not regulate the malEFG operon.
Conclusions
This study characterizes the first known transcription factor of the acarbose biosynthetic gene cluster in Actinoplanes sp. SE50/110. It therefore represents an important step for understanding the regulatory network of this organism. Based on this work, rational strain design for improving the biotechnological production of acarbose can now be implemented.
Electronic supplementary material
The online version of this article (doi:10.1186/s12864-017-3941-x) contains supplementary material, which is available to authorized users.
Keywords: Actinoplanes, Acarbose, MalR, AcrC, Transcriptional regulation, Actinomycetes
Background
Acarbose (acarviosyl-1,4-maltose) is used for the treatment of diabetes mellitus type II, as it supports the reduction of blood sugar levels, due to its inhibitory effect on alpha-glucosidases in the human intestine [1–3]. The Gram-positive actinobacterium Actinoplanes sp. SE50/110 is a natural producer of the pseudotetrasaccharide acarbose and the genome includes the acarbose biosynthetic (acb) gene cluster [4, 5]. Therefore, Actinoplanes sp. SE50 strains are used for the biotechnological production of acarbose [6]. Actinoplanes species are characterized by genomes with high G + C contents of 69–73%, can produce motile spores and typically grow in branched hyphae [7, 8].
Based on biochemical studies of the enzymes encoded by the acb gene cluster as well as genome-wide omics studies, models for the enzymatic pathways of acarbose biosynthesis have been proposed and targets for metabolic engineering have been suggested [3, 9–11]. However, functional studies concerning the acarbose biosynthesis based on genetic engineering of Actinoplanes sp. SE50/110 or rational strain designs have not been carried out until now. Recently, tools for genetic engineering of Actinoplanes sp. SE50 strains were developed [12, 13]. Combined with the high quality genome sequence and annotation of Actinoplanes sp. SE50/110 [14], targeted mutagenesis will facilitate the validation of acarbose biosynthesis and its regulation.
The transcriptional organization of the acb gene cluster, including transcription start sites, promoter elements and operon organization, was recently elucidated [14]. The cluster is divided into seven transcription units, with most of the genes coding for biosynthetic enzymes organized in one operon. The genes acbZ, acbD and acbE are transcribed monocistronically and encode proteins of the extracellular carbohydrate and acarbose metabolism. The genes acbE and acbD are located adjacently and oriented divergently [14]. However, profound knowledge about transcription factors involved in acarbose biosynthesis and their binding sites is missing until now. In contrast to acarbose biosynthetic gene clusters in Streptomyces spp. [15, 16], the acb gene cluster in Actinoplanes sp. SE50/110 lacks genes coding for transcription factors.
Nevertheless, it is known that expression of the genes acbD and acbE is inducible by maltotriose, when expressed heterologously in Streptomyces lividans [4]. It was suggested that dyadic symmetry element boxes (DSE) in the intergenic regions of the oppositely oriented genes acbA and acbB as well as acbE and acbD, might be possible operator sites for carbohydrate dependent transcriptional regulators [3]. Similar DSE boxes associated with maltose/maltotriose induction and glucose repression were identified upstream of alpha-amylase genes in several Streptomyces spp. [17, 18].
In this study, we expanded the toolbox for genetic engineering of Actinoplanes sp. SE50/110 through the successful application of PCR targeting (“ReDirect” technology), and applied this technology for the functional characterization of the MalR type transcription factor acarbose regulator C (AcrC). The rationale for classifying this transcription factor as a regulator of acb genes is shown by an in silico approach, cultivation experiments, transcriptomics as well as electrophoretic mobility shift assays for the elucidation of its DNA-binding motifs.
Results
In silico analysis for the identification of a transcriptional regulator of the acarbose biosynthetic gene cluster and construction of a deletion mutant
Recently, the transcriptional organization of the acarbose biosynthetic gene cluster (acb gene cluster), including transcription start sites, promoter elements and operon organization was elucidated [14]. However, profound knowledge about transcription factors involved in acarbose biosynthesis and their binding sites was missing until now. The acb gene cluster in Actinoplanes sp. SE50/110 lacks genes coding for transcriptional regulators. Interestingly, two other gene clusters for the production of acarviostatins have been identified in Streptomyces spp.. These are the gac gene cluster from Streptomyces glaucescens GLA.O [15, 19] and the sct gene cluster from Streptomyces coelicoflavus ZG0656 [16], which each include two LacI-type regulators (garC1, garC2, and scarC1, scarC2, respectively). When using protein alignment tools such as BLASTP [20] with the protein sequences of these regulators as an input and the Actinoplanes sp. SE50/110 genome for searching, the LacI family transcriptional regulator ACSP50_6387 was the best hit in all four cases. The pairwise identity of the regulators GarC1 and GarC2 from S. glaucescens GLA.O and ScarC1 as well as ScarC2 from S. coelicoflavus ZG0656 with ACSP50_6387 was between 59.7 and 63.4%, as determined through alignments using MUSCLE [21] (Fig. 1). These observations lead to the conclusion that ACSP50_6387 is a possible transcriptional regulator of the acb gene cluster. The ACSP50_6387 gene was originally named malR and is located head to head to the maltose/maltodextrin ABC transporter gene cluster malEFG [11]. As this regulator also shows high similarities to MalR regulators, binding to the upstream region of the malEFG operon in other Actinobacteria, it was assumed that this regulator has a similar function in Actinoplanes sp. SE50/110 [22, 23]. In this study, it was shown that the LacI family regulator ACSP50_6387 is not the repressor of the malEFG operon, but is the first identified transcriptional regulator of the acb gene cluster, which is why it was named acarbose regulator C (AcrC). Conclusive evidence for this is given in the following.
A deletion mutant of the MalR-type regulator gene acrC was constructed using PCR targeting [24]. For this technology, also called “ReDirect” technology, a cosmid containing the chromosomal region surrounding acrC and the malEFG operon was modified by applying λ RED-mediated recombination [25]. The complete coding region of acrC was replaced with the selection marker aac(3)IV, conferring apramycin resistance and an oriT (RK2) for conjugational transfer of the cosmid. The gene disruption of acrC in Actinoplanes sp. SE50/110 was verified by PCR on isolated DNA and by sequencing of the PCR products. These results proved the successful application of the so-called “ReDirect” technology in Actinoplanes sp. SE50/110 for the first time.
Establishment of whole genome microarrays for Actinoplanes sp. SE50/110 and application on a ΔacrC deletion mutant
In order to characterize the transcriptional regulator AcrC, comparative genome wide transcriptome analyses were conducted. Therefore, the wild type Actinoplanes sp. SE50/110 and the mutant ΔacrC were each cultivated in triplicates in minimal medium supplemented with maltose or glucose as single carbon source. Maltose minimal medium was used, as it is known as an acarbose production medium [26]. It was assumed that maltose or a metabolic product of maltose is an effector of AcrC, due to its similarity to MalR-like regulators. Therefore, maltose or a derivative might prevent the repressor AcrC from binding to its operator sites and consequently might lower the effect of a deletion mutant on the transcript levels of relevant genes. To better analyze the effect of the deletion mutant ΔacrC on the transcriptome, glucose minimal medium was used in parallel.
RNA samples from the biological replicates were taken in the middle of the growth phase of both strains in each maltose and glucose minimal medium, respectively. RNA was isolated and the three replicates were combined for each strain and condition. Subsequently, whole genome microarrays were used to identify genes regulated by AcrC. Agilent oligonucleotide microarrays were constructed, consisting of a total of 43,803 features and representing 8238 genes of Actinoplanes sp. SE50/110. Furthermore, the arrays contained 1417 control spots. The standard protocol for microarray hybridization was adapted due to the high G + C content of Actinoplanes sp. SE50/110. Additionally, the technical variance was determined in a “yellow experiment” (data not shown). The log2(fold change) cut-off (M-value) for a false discovery rate of 0.01 was determined as 1.1 and −1.1, respectively.
Whole transcriptome analysisallowed the identification of several genes for which different transcript abundances were measured when comparing the mutant ΔacrC with the Actinoplanes sp. SE50/110 wild type (Fig. 2). For each cultivation condition, the data from two arrays (dye swap) were combined to make statistically reliable conclusions. When using the RNA from the strains grown in maltose minimal medium, 23 genes with a log2(fold change) greater than 1.1 were determined indicating significantly higher transcript levels of these genes in the mutant (t-test p < 0.05). For 54 genes, an log2(fold change) less than −1.1 was determined and thus the transcript abundances were significantly lower in the mutant (t-test p < 0.05, Fig. 2a). In glucose minimal medium, the log2(fold change) was above 1.1 for 73 genes and below −1.1 (t-test p < 0.05) for 51 genes, when comparing the strain ΔacrC to the wild type (Fig. 2b). This data provides the first evidence for genes transcriptionally regulated by AcrC (full list of genes with significantly differential transcript abundancies in Additional file 1).
In total, significantly higher transcript amounts were detected for seven genes in the strain ΔacrC in both maltose and glucose minimal medium. Among them were uncharacterized (ACSP50_2985 and ACSP50_6701) and hypothetical proteins (ACSP50_6700), a predicted extracellular protein with unknown function (ACSP50_6253) and the gene dapE2, putatively coding for a succinyl-diaminopimelate desuccinylase. The dapE2 gene is highly similar to the dapE1 gene, but since the latter is located together with dapC in the Actinoplanes sp. SE 50/110 genome it is a possible paralog. DapE2 is located downstream of acrC, which is why polar effects through the replacement of acrC with the highly transcribed apramycin resistance cassette cannot be ruled out. Apart from the gene acrC itself, only two additional genes were identified with significantly reduced transcript amounts in the ΔacrC strain in both maltose and glucose minimal medium. These included ACSP50_2217, coding for a NADPH:quinone reductase and ACSP50_4307, coding for an oxidoreductase.
Most striking when analyzing the genes with significantly different transcript amounts in both cultivation conditions, were two of the genes of the acb gene cluster. For acbE (fold change of 3.4 in maltose, 12.1 in glucose medium) and acbD (fold change of 2.6 in maltose, 10.7 in glucose medium) significantly elevated transcript levels were measured in the strain ΔacrC (Fig. 2). In glucose minimal medium, these represented the genes with the overall largest differences in the transcript amount. acbE and acbD are genes encoding proteins of the extracellular acarbose metabolism [27]. For the other acb genes, which code for proteins of the acarbose biosynthesis or the export of acarbose, no significant differences in RNA amounts were measured in maltose minimal medium. However, in glucose minimal medium an increased transcript level was detected for all acb genes in the transcription factor knockout strain (Fig. 2c). For acbM, acbN and acbB, the fold change was just below the cut-off of 2.1 (M-value 1.1) but above 1.9. For the remaining acb genes, the fold changes were between 2.2 and 5.7.
Strikingly, no significant differences in the transcript abundance for genes of the operon malEFG were measured with the microarrays. This is surprising, as the gene for AcrC is located in direct proximity to this operon on the opposite DNA strand. To validate this unexpected result, reverse transcription quantitative PCR (RT-qPCR) measurements were performed with RNA from cultivations in different carbon sources (data shown in Additional file 2). This way it was also possible to rule out that the lack of differences in the transcript levels for malEFG originate from maltose being the effector molecule and glucose acting through carbon catabolite repression. When comparing the strain ΔacrC with the wild type, no differences in the transcript amounts of malE could be detected with glucose, maltose, a mixture of glucose and maltose, glycerol, or mannitol as carbon source. However, with all tested carbon sources the transcript amounts of acbE were elevated in the ΔacrC strain compared to the wild type. The observations described here, are the first indications, that AcrC is a repressor of at least two acb genes and does not regulate the malEFG operon.
The transcription of the genes acbD and acbE is regulated by the repressor AcrC
A complementation of acrC in the deletion mutant ΔacrC was conducted to rule out polar effects of the gene replacement and to prove that the transcriptomic as well as phenotypic effects of the ΔacrC mutant can be attributed to the repressor effects of the transcriptional regulator. For the complementation of acrC in the deletion mutant ΔacrC, the φC31-based integrative vector pSET152 was used, for which the integration site in Actinoplanes sp. SE50/110 is known [12].
The complementation of acrC and the effect on the transcription of the genes malE, acbD and acbE was analyzed through RT-qPCR (Fig. 3). Therefore, RNA isolated from the middle of the growth phase of strains grown in glucose minimal medium was used. The transcript levels of the single genes in the ΔacrC deletion strain as well as the complementation strain, were compared to the levels of the wild type. The complementation of acrC was validated, as only a slightly reduced relative transcript amount compared to the wild type was measured (fold change 0.45), but no transcripts were detected in the ΔacrC deletion strain. The results of the RT-qPCR analysis for the malE gene are in line with the data from the microarray, confirming that the transcription of malE is not influenced by AcrC. The relative transcript amounts for the genes acbD and acbE in the deletion strain ΔacrC were significantly elevated compared to the wild type strain and therefore validated the results of the microarrays (fold change 39.5 for acbE and 63.3 for acbD). In the complementation strain, the transcript amounts for these genes were only moderately elevated, showing the nearly successful reconstitution of the transcriptomic profile of the wild type (fold change 1.5 for acbE and 5.1 for acbD). It should be noted that the transcription of the genes acbD and acbE is highly regulated during growth and dependent on the growth phase of Actinoplanes sp. SE50/110 (our unpublished results). This can have a strong impact on the variance of biological replicates.
AcrC has an effect on the acarbose production
Comparative cultivations of the Actinoplanes sp. SE50/110 wild type, the mutant ΔacrC and the complementation strain ΔacrC (pSET152-acrC) were carried out to examine differences in growth and acarbose production. When comparing the three strains with respect to the cell dry weight, no significant differences were detected in growth behavior (Fig. 4). The production of different acarviose metabolites by Actinoplanes sp. SE50/110 is dependent on the available carbon source. When supplying glucose as carbon source, mainly acarviosyl-glucose is formed, which is why no production of acarbose is expected under these conditions [26]. Therefore, the acarbose concentration was determined solely for the cultivation in minimal medium with maltose, since acarviosyl-maltose (acarbose) is formed under these conditions [6, 26].
For cultivations of Actinoplanes sp. SE50/110 in maltose minimal medium in shake flasks, an acarbose concentration of up to 0.98 g L−1 for the wild type, 0.93 g L−1 for the deletion mutant and 0.75 g L−1 for the complementation strain was achieved. This corresponds to the expected product titer between 0.7 g L−1 and 1.0 g L−1 described in the literature for these conditions [3, 26]. In the early growth phase of the cultivations, a maximum of the specific product formation rate was obtained for all strains (Fig. 4). This shows that acarbose is produced during growth and not in the stationary phase and confirms the hypothesis of biomass-associated acarbose production of Actinoplanes sp. SE50/110 [26]. However, the strains differed with respect to the specific product formation level, defined as produced acarbose normalized to the mean cell dry weight and cultivation time. A significantly higher maximal specific product formation rate was achieved after 47.5 h in the ΔacrC strain (1.4 × 10−2 ± 0.2 × 10−2 h−1) compared to the wild type (5.9 × 10−3 ± 0.7 × 10−3 h−1) and the complementation strain (5.5 × 10−3 ± 0.4 × 10−3 h−1). Thus, there is an effect of AcrC expression on the product formation of acarbose in the early growth phase.
The intergenic region between acbE and acbD features a binding site for AcrC
For the identification of precise binding sites of AcrC, band shift assays were carried out. Therefore, the AcrC protein was expressed in Streptomyces lividans TK23 and purified through a C-terminal hexa-histidine tag. The successful expression and purification of AcrC-His6 was verified by SDS page and a tryptic peptide fingerprint analysis using MALDI-ToF-MS/MS (Data not shown). Electrophoretic mobility shift assays (EMSA) were carried out with the purified protein and Cy3 labeled PCR fragments.
When using the intergenic region of acbE and acbD as well as the intergenic region of malE/acrC together with AcrC, a retardation of the DNA was observed. No bandshift was detected when using the upstream region of dapE2 as a control (Fig. 5a). Therefore, AcrC binds to the promoter regions of acbE and acbD as well as of acrC itself but not to the promoter region of dapE2.
An analysis of the intergenic region of acbD and acbE revealed two potential DNA binding sites with inverted repeat sequences, which are typical for the specific binding of transcriptional regulators [28, 29]. Upstream of the translation start of acbE, the motif 5′-CTTGCTG-3 bp-TAGCAAG-3′ (O1) is found at a distance of 60 bp. The TSS of acbE is located 40 bp downstream of this palindromic motif. A secondary TSS of acbD is located 21 bp upstream of this motif. Upstream of the start codon of acbD (50 bp) the motif 5′-CTGCAAG-2 bp-CTTGCAG-3′ (O2) can be identified. The primary TSS of acbD can be found 15 bp upstream of this motif (Fig. 5b). A similar inverted repeat motif is also located in the intergenic region of malE and acrC, but with a weaker consensus sequence in the second repeat of 5′-CTTGCAG-3 bp -ATGGAAG-3′. The repeat is found downstream of two acrC TSS as well as upstream of one malE and a third acrC TSS (Fig. 5c). When unlabeled double-stranded oligonucleotides covering only these motifs were added to the EMSAs as competitive DNA in excess amounts, the binding of AcrC to the DNA was reversed (Fig. 5a). A complete displacement was observed starting at a 50 fold molar excess of the double-stranded displacement oligonucleotide over the labeled PCR fragment. When using a 25 fold excess, the displacement was partial (data not shown). This is a proof that the identified DNA regions are required AcrC binding. The identified motifs were used to build a position weight matrix and the Actinoplanes sp. SE50/110 genome was scanned for additional motifs. However, the motif was not identified upstream of other genes with significantly different transcript amounts when comparing the ΔacrC with the wild type through microarrays.
To identify a possible effector of AcrC, which interacts with the ligand-binding domain and causes its dissociation from the DNA-binding site by a conformational change, different sugars were added to the protein-DNA mix. However, a retardation of the DNA was still observed, when adding glucose, galactose, maltose, maltotriose or acarbose in a range of 1 to 20 mM (data not shown). Therefore, an effector could not be identified yet.
Discussion
Genetic engineering technologies and whole genome microarrays were established to characterize the transcription factor AcrC
The transcription factor AcrC was identified through an in silico approach by comparing the regulators of the acarbose biosynthetic gene clusters from S. glaucescens GLA.O [15] and S. coelicoflavus ZG0656 [16] with the genome of Actinoplanes sp. SE50/110. AcrC is a member of the LacI/GalR family of transcriptional regulators, which is mainly composed of repressor proteins of genes involved in carbohydrate and nucleotide metabolism [30, 31].
After the in silico identification of AcrC as a possible transcription factor of the acb gene cluster, methods for creating deletion mutants as well as a cost effective genome wide transcriptomics method with a relatively fast data evaluation pipeline were needed. When the work on AcrC was conducted, both elements were missing for Actinoplanes sp. SE50/110, and therefore PCR targeting (“ReDirect” technology) and genome wide microarrays were established for this organism.
The gene of acrC was replaced with an apramycin resistance cassette by applying PCR targeting [24], which proved the successful application of this technology in Actinoplanes sp. SE50/110 for the first time. This expands the toolbox for genetic engineering of Actinoplanes sp. SE50/110 additionally to the application of integrative vectors [12] and the meanwhile adapted genome editing using CRISPR/Cas9 [13].
The applicatiin of microarrays and RT-qPCR showned that the transcript levels of the genes acbE and acbD were elevated in the ΔacrC strain. This effect, caused by the deletion of acrC, was reversed by a complementation of acrC, confirming the successful reconstitution of the transcriptomic profile of the wild type. Although a clear effect of the complementation was shown, the transcript amount of acrC was only half as large as the transcript amount of the wild type, possibly resulting in slightly increased transcript amounts for acbE and acbD in the complementation strain compared to the wild type. An explanation for this could be possible polar effects at the integration site on the transcription of acrC. Another reason for the slight variances between the transcript levels of the wild type and ΔacrC strain could be that the transcription of the genes acbD and acbE is highly regulated during growth and dependent on the growth phase of Actinoplanes sp. SE50/110. This can lead to variances on the transcript levels between the strains, as it was observed for the comparison of the relative RNA amount of acbD in the complementation strain with the wild type.
Polar effects on neighboring genes were also observed through the replacement of acrC with the highly transcribed antibiotic resistance cassette. The gene dapE2, located directly downstream of acrC, is transcribed stronger in the strain ΔacrC and this effect was not reversed through the complementation (data not shown). Additionally it was shown that AcrC does not bind to the upstream region of dapE2, leading to the conclusion that the increased transcription of this gene in the mutant strain is caused by polar effects. Such effects on neighboring genes are unavoidable when applying PCR-targeting by replacing a target gene with a resistance marker cassette [32, 33]. This method can be expanded and improved by removing the antibiotic resistance cassette through site-specific recombination systems [34, 35], but this has not yet been applied to Actinoplanes sp. SE50/110. Alternatively, the recently established CRISPR/Cas9 technology enables scar-free and resistance marker-free deletions in the genome of Actinoplanes sp. SE50/110 with a single conjugation [13].
Well-functioning and reliable genetic engineering technologies in combination with fast and easily applicable whole genome transcriptomic methods will be indispensable for the clarification of regulatory networks in Actinoplanes sp. SE50/110. Although RNA-Seq has several advantages over microarrays, such as its single-nucleotide resolution and a much greater (log-linear) dynamic range [36, 37], the latter still have a legitimacy, as they can be used to simultaneously screen multiple samples in a cost-effective manner. The genome of Actinoplanes sp. SE50/110 harbors about 500 genes, which contain predicted DNA binding domains and might function as transcriptional regulators, of which now only the first one is functionally characterized. The methods established here will be helpful for the screening of many more transcription factors and understanding their biological functions. This knowledge will be of high value for metabolic engineering of this biotechnologically important organism.
AcrC is the missing repressor of the acarbose biosynthetic gene cluster
When comparing the whole transcriptome of the deletion mutant ΔacrC with the Actinoplanes sp. SE50/110 wild type, it was noticeable that no significant differences in the transcript abundance for genes of the maltose/maltodextrin ABC transporter operon malEFG were detected. This was not expected, as the gene coding for AcrC is located adjacently and divergently oriented to malEFG. Furthermore, its function was predicted as a MalR-type regulator and AcrC shows high similarities to MalR regulators, acting as a repressor of the malEFG operon in other Actinobacteria [22, 23]. The deletion of malR in S. coelicolor results in a glucose-insensitive transcription of malE [22, 38]. The transcriptional repressor MalR from S. lividans was shown to not only bind to regulatory sequences upstream of malEFG, but also to operator sites upstream of alpha-amylase genes [23, 39, 40]. Glucose repression of alpha-amylase genes mediated through LacI/GalR type transcription factors was also reported for other Gram-positive bacteria [41–43]. In this study, it was shown that AcrC binds to the intergenic region of acbE and acbD in Actinoplanes sp. SE50/110 and acts as a transcriptional repressor on these genes. AcbE is an acarbose-resistant alpha-amylase, which degrades starch and maltodextrins to maltose and maltotriose or higher malto-oligosaccharides [44]. The gene acbD encodes an acarviose transferase, which is proposed to catalyze the transfer of acarviosyl moieties from acarbose to the hydroxyl group of various sugars [45, 46]. The architecture of the catalytic site of AcbD is similar to other enzymes of the alpha-amylase family [44, 46]. Although the MalR type regulator AcrC of Actinoplanes sp. SE50/110 does not influence the transcription of the malEFG operon, it still binds upstream of similar genes as MalR does in Streptomyces spp.
Two binding sites for AcrC, each composed of a palindromic 7 bp repeat (5′-CTTGC(A/T)G-3′) where identified in the intergenic region of acbE and acbD. The regulatory motif resembles the core binding site of MalR in S. lividans, which is described as 5′-CTTGCAG-3′, occurring as an inverted and a direct repeat upstream of malE but downstream of the promoter site [23]. Additional motifs were identified upstream of amylase and chitinase genes as direct or inverted repeats with a spacer of 3–15 bp [40]. In Actinoplanes sp. SE50/110 one of the operator sites is located downstream of the acbD transcription start sites and therefore blocks the RNA polymerase, but the other operator is located upstream of the promoter of acbE. However, the binding motif is located three base pairs upstream of the −35 region of this promoter, possibly acting by sterically blocking the RNA-polymerase from binding to the promoter. The close proximity of the two operator sites (182 bp) hints towards a possible tetrameric protein assembled of two homodimers, similar to the E. coli lactose repressor protein LacI [47, 48]. The repressor function of LacI is strengthened by DNA-looping with two operator sequences [49–51]. AcrC could form a similar structure, causing nearly the complete intergenic region between acbE and acbD to from a loop, thereby blocking all three promoters and increasing the repression effect. In Actinoplanes sp. SE50/110 the consensus-binding motif for AcrC also occurs as an inverted repeat with in the intergenic region between malE and acrC. Binding of AcrC to this region was shown with band shift assays. However, the potential binding site is located upstream of the malE TSS and downstream of two out of three acrC TSS. Together, with the observation that the transcription of malE is unchanged when deleting acrC, it can be assumed that only a transcriptional autoregulation of acrC occurs.
The consensus binding motif of AcrC was not identified upstream of the six additional genes with significantly different transcript amounts in both carbon source conditions. Although not consistently differentially transcribed in both conditions, transcriptional regulators were among the genes with significantly different transcript amounts in each condition. Therefore, indirect effects through changed metabolite concentrations or affected regulatory networks cannot be ruled out as cause for the differential transcript levels of these genes.
An effector molecule interacting with the ligand-binding domain of AcrC and thereby leading to a detachment of the repressor from the operator site was not detected through in vitro band shift assays. Nevertheless, the effect of the acrC deletion on the transcription of the acb genes, in particular acbE and acbD, was stronger in glucose containing medium compared to maltose minimal medium. This could indicate a detached repressor from the operator in maltose conditions. Combined, this could lead to the conclusion that maltose itself is not the effector of AcrC but a metabolic product directly derived from it. Maltodextrins can be built up intracellularly from maltose [52, 53] and are therefore promising candidates to be the effectors of AcrC, as it was also shown for MalR in S. lividans [23].
During the early growth phase, a significantly higher maximal specific product formation rate was achieved in the ΔacrC strain compared to the wild type and the complementation strain. Thus, there is a clear effect of AcrC expression on the acarbose formation in the early growth phase. This supports the assumption that AcrC is responsible for the repression of genes of the acb gene cluster in vivo, as the acarbose production is directly influenced by the deletion of the transcriptional regulator acrC. Based on literature and current models, acarbose is formed intracellularly and the extracellular proteins AcbE and AcbD are not directly involved in acarbose biosynthesis, when growing Actinoplanes sp. SE50/110 in maltose minimal medium [3, 26]. Therefore, a direct correlation of the transcription of the genes acbE and acbD with acarbose formation is not expected. It could be suspected that the gene products of acbD and acbE have additional enzymatic functions or that indirect effects such as feedback inhibition might influence acarbose formation.
The ABC transporter MalEFG was suggested as a possible acarbose-metabolite re-importer and AglEFG might be an additional maltose/maltodextrin importer [10, 54]. The proteins MalE, MalF and MalG were detected in high abundancies in both maltose and glucose-grown Actinoplanes sp. SE50/110 cultures [11]. This could lead to the conclusion that MalEFG imports acarviosyl metabolites independently from the available carbon source and could explain a possible evolutionary change of the AcrC regulon in Actinoplanes sp. SE50/110, dependent on the presence of the functional acarbose cluster. However, it could be beneficial to regulate the energy consuming expression and secretion of AcbE and AcbD, depending on the available carbon source. This function is implemented by AcrC in Actinoplanes sp. SE50/110 and could explain the special interaction between AcrC and the transcription of acb genes.
Conclusions
The identification of AcrC as a repressor of genes of the acarbose biosynthetic gene cluster is an important step towards understanding the transcriptional regulation of the acarbose biosynthesis. This study not only describes the first documented transcription factor of the acb gene cluster in Actinoplanes sp. SE50/110 but is also the first functional study of genetic engineering that influences acarbose production in the biotechnologically important rare actinomycete Actinoplanes sp. SE50/110. Genetic engineering technologies were developed and can be used in combination with the described microarrays as well as RNA-Seq, to further elucidate the complex regulatory network of Actinoplanes sp. SE50/110. Based on this work, rational strain design for the improvement of acarbose production can be carried out.
Methods
Strains, media and reagents
All standard cloning procedures were carried out with Escherichia coli DH5αMCR [55]. E. coli BW25113/pIJ790 [24] was used for λ RED recombineering of cosmids. E. coli ET12567/pUZ8002 [56] was used as a conjugation host for the target organism Actinoplanes sp.SE50/110 (ATCC 31044) to generate mutant strains (this study). Streptomyces lividans TK23 [57] was used for overexpression of AcrC.
Actinoplanes sp. SE50/110 was grown on soy flour medium agar (SFM; 20 g L−1 soy flour, 20 g L−1 mannitol, 20 g L−1 agar, pH 8, tap water) and in NBS medium for molecular cloning procedures as well as strain maintenance. Minimal medium was supplemented with 2.4 C-mole of the respective sugar as carbon source. The composition of the liquid media is described elsewhere [10]. When needed, chloramphenicol (25 μg mL-1), kanamycin (50 μg mL-1), apramycin (50 μg mL-1) or hygromycin (100 μg/mL) was added to the media.
Soy flour (full fat) was used from Sobo Naturkost (Cologne, Germany) and purchased at a local store. For all PCRs, Phusion High-Fidelity PCR Master Mix with GC Buffer (NEB, Ipswich, MA, USA) was used. Gibson assembly master mix was prepared with Phusion High-Fidelity DNA Polymerase (Thermo Fisher Scientific, Waltham, MA, USA), T5 Exonuclease (Epicentre, Madison, WI, USA) and TaqDNA Ligase (NEB, Ipswich, MA, USA).
Cultivation of Actinoplanes sp. SE50/110 and quantification of acarbose
For the cultivation of Actinoplanes sp. SE50/110 50 mL of medium were inoculated with 1 mL of spore suspension. Spores were harvested from freshly grown SFM agar plates with cultures grown for 6–7 days at 28 °C after uniformly plating 300 μL of a glycerol stock. Spores were washed off by adding 2 mL ddH20 and carefully detaching them with a cotton swab. One plate resulted in roughly 1 mL spore suspension. The suspension of all plates for one strain was mixed before inoculation.
Cell dry weights were determined by harvesting 1 mL of cell suspension in weighed reaction tubes (20,000 g, 5 min). The supernatant was stored at −20 °C for acarbose quantification. The cell pellets were washed twice with ddH20, dried at 70 °C for 48 h and weighed. For subsequent RNA isolation, 1 mL of cell suspension was centrifuged for 15 s at 16,000 g and immediately frozen in liquid nitrogen. Cell pellets were stored at −80 °C until further processed for RNA isolation.
Acarbose in the supernatant of Actinoplanes sp. SE50/110 cultivations was quantified by HPLC. Therefore, the supernatant was centrifuged (20,000 g, 2 min) to remove residual particles. Afterwards, 200 μL supernatant were mixed with 800 μL methanol, vortexed and centrifuged again (20,000 g, 2 min) to remove the resulting precipitate. The supernatant was transferred to HPLC vials and analyzed in a HPLC system (Finnigan Mat P4000 pump, AS3000 autosampler and UV6000LP detector, Thermo Fisher Scientific, Waltham, MA, USA). A flow of 1 mL min−1 of a mixture of 68% acetonitrile and 32% phosphate buffer (0.62 g L−1 KH2PO4 and 0.38 g L−1 K2HPO4·2H2O) was applied on a Hypersil APS-2 amino LC column (125 × 4 mm and 3 μm particle size, Thermo Fisher Scientific, Waltham, MA, USA) heated to 40 °C. The detection of acarbose was carried out with an UV detector at 210 nm. The acarbose concentration calculated with from the peak area and with a calibration curve.
Construction of Actinoplanes sp. SE50/110 mutants
The regulator gene acrC was disrupted from start to stop codon in Actinoplanes sp. SE50/110 by applying PCR targeting, also called ReDirect. The ReDirect protocol (version 1.4) was carried out as described in detail elsewhere [25]. All primers used in this study are listed in Additional file 3. The plasmid pIJ773 [24] (received from B. Ostash, Ivan Franko National University of Lviv, Ukraine was used as template for the disruption cassette containing an apramycin resistance (aac(3)IV) and an oriT (RK2). The chromosomal sequence of acrC on a pcc2FOS based fosmid, containing the genomic region 12,914 bp downstream to 24,255 bp upstream of acrC, was replaced with the disruption cassette. The chloramphenicol resistance cassette on the pcc2FOS vector was replaced by a hygromycin resistance gene (received from L. Horbal, Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Germany) as a second selection marker. Conjugation of the cosmid was carried out as described previously [12]. After purification of exconjugants from E. coli, successful double-crossovers were verified by apramycin resistance and recovery of hygromycin sensitivity.
In order to complement the disrupted gene in the ΔacrC strain, a modified version of the integrative vector pSET152 [58] was used. The apramycin resistance gene of pSET152 was exchanged for a hygromycin resistance gene and the acrC gene including the 5′-UTR and promoter region (determined with data from [14]) was cloned in the multiple cloning site by isothermal Gibson assembly [59].
DNA of Actinoplanes sp. SE50/110 strains was isolated as described before [13]. PCR was used to confirm the constructed cosmids and plasmids as well as the genotype of all Actinoplanes sp. SE50/110 strains. PCR fragments were purified and Sanger sequencing was carried out by the in-house sequencing core facility.
Transcriptomic analyses
RNA isolation
For RNA isolation frozen cell pellets were suspended in 800 μL RLT buffer (RNeasy mini kit, Qiagen, Hilden, Germany) and transferred to 2 mL lysing matrix tubes (0.1 mm spherical silica beads, MP Biomedicals, Santa Ana, California, USA). Cell disruption was carried out in a homogenizer (FastPrep FP120, Thermo Fisher Scientific, Waltham, MA, USA) for two times 20 s at speed setting 6.5 and 1 min on ice in between. Subsequently, the cell suspension was centrifuged for 3 min at 13,000 g and 4 °C. The supernatant was used for RNA extraction using a Qiagen RNeasy mini kit in combination with an RNase-free DNase kit (Qiagen, Hilden, Germany) for on-column and off-column DNA digestion. PCR with primers binding to genomic Actinoplanes sp. SE50/110 DNA was used to verify complete removal of residual DNA. Quality and quantity of the RNA was analyzed with a NanoDrop 1000 spectrometer (Peqlab, Erlangen, Germany) and an Agilent RNA 6000 Pico kit run on an Agilent Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA, USA).
Whole genome oligonucleotide microarrays
Custom whole genome oligonucleotide microarrays representing the coding sequence of Actinoplanes sp. SE50/110 were designed with eArray (Agilent Technologies, Santa Clara, CA, USA) and ordered in the 4x44K format (Agilent Technologies, Santa Clara, CA, USA). These consist of 43,803 features representing 8238 genes and 1417 control spots. All experimental procedures, including sample preparation, cDNA synthesis and labeling, microarray hybridization and washing as well as scanning and feature extraction, were carried out as described by the manufacturer. The kit Two-Color Microarray-Based Prokaryote Analysis FairPlay III Labeling (Version 1.4, Agilent Technologies, Santa Clara, CA, USA) was used with the following adjustments, which were optimized and tested in previous experiments. The quantities and volumes of the components of the hybridization samples were adjusted to fit the 4x44K array format. The mix was prepared with 330 ng of each labeled cDNA and 11 μL gene expression blocking agent. The cDNA blocking mix was filled up to 55 μL with H2O and mixed with 55 μL Hi-RPM hybridization buffer. 100 μL of the hybridization mix were used for the hybridization of one array. Washing of the microarrays was carried out including stabilization and drying solution. The number and length of the washing steps was increased (two wash cycles, with 5 min wash buffer 1 and 1 min wash buffer 2) to reduce signal artifacts due to the high G + C content of Actinoplanes sp. SE50/110. Amersham CyDye mono-reactive dye packs were used from GE Healthcare (Little Chalfont, UK). All other microarray specific reagents as well as the hybridization oven and the microarray scanner were used from Agilent Technologies (Santa Clara, CA, USA).
Feature extraction was performed with the Agilent Feature Extraction Software Version 10.7.3.1 (Agilent Technologies, Santa Clara, CA, USA), applying the protocol GE2_107_Sep09. Subsequent data analysis, including LOWESS normalization and statistical analysis was performed with EMMA2 [60]. A p-value of 0.05 was used as a cut-off for significance and the M-value cut-offs for a false discovery rate of 0.01 were determined as 1.1 and −1.1, respectively.
Reverse transcription quantitative PCR
RT-qPCR was applied for relative mRNA quantification of single genes. Primers were designed to amplify 75 to 150 bps of intragenic regions (list of primers in Additional file 3). A SensiFast SYBR No-Rox One-Step Kit (Bioline, London, UK) and 96 well lightcycler plates (Sarstedt, Nümbrecht, Germany) were used for measurements in a LightCycler 96 System (Roche, Mannheim, Germany). 1 μL of template RNA, adjusted to 200 ng µL-1, was mixed with 19 μL master mix containing 1 μL of specific primers (10 μM each), 0.2 μL reverse transcriptase, 0.4 μL RNase inhibitor, 10 μL reaction mix and 7.4 μL 5 M betain. A minimum of three biological replicates in each technical duplicates was included for every measurement. Two negative controls with 1 μL H2O as template were included for each analyzed gene. Reverse transcription was performed at 45 °C for 20 min, followed by 2 min at 95 °C, a three step amplification (95 °C 5 s, 60 °C 10 s, 72 °C 10 s, 60 cycles) and a melting profile. The LightCycler 96 V1.1 software was used for inspection of control measurements and melting curve analysis. The relative RNA amount was normalized on total RNA (200 ng) and calculated as 2-ΔCq. ΔCq was calculated as the difference of the mean Cq in the mutant strain compared to the control strain.
Heterologous expression and purification of AcrC in Streptomyces lividans
For the heterologous expression and purification of the AcrC protein, the acrC gene was cloned by Gibson assembly [59] into the multiple cloning site of the pGM1202 expression vector (G. Muth, unpubl. Data, available through Addgene # 69615) which includes a pSG5 origin of replication [61], the PtipA promoter and a C-terminal His6-tag. The expression vector was transferred into Streptomyces lividans TK23 by conjugation. The strain was grown in 50 mL yeast extract-malt extract (YEME) medium with 50 μg mL−1 apramycin in a 250 mL flask at 28 °C and 180 rpm. After 3 days, 15 mL of the culture were transferred to 200 mL fresh YEME medium supplemented with 25 μg mL−1 thiostrepton to induce gene expression. The cells were cultivated for further 3 to 4 days at 28 °C and 180 rpm. Afterwards, the cells were harvested by centrifugation at 5000 g for 20 min at 4 °C. The pellet was resuspended in ice-cold lysis buffer (50 mM NaH2PO4, 300 mM NaCl, 10 mM imidazole, pH 8). Cell disruption was carried out with a French press for three times. Cell debris were separated from the soluble fraction by centrifugation (5000 g, 1 h) at 4 °C. The protein was purified from the supernatant using Protino® Ni-TED 1000 Packed Columns as described by the manufacturer (Macherey-Nagel, Düren, Germany) and stored in 30 mM Tris-HCl, 300 mM NaCl, pH 8.5 buffer at 4 °C.
Electrophoretic mobility shift assays
DNA band shift assays were performed with Cy3-labeled PCR fragments and ds oligos for displacements (list of primers in Additional file 3). Cy3-labeled primers (Metabion, Steinkirchen, Germany) were used to produce PCR fragments, which were then purified by using a PCR Clean Up Kit (Macherey Nagel, Düren, Germany). The oligonucleotides were annealed by heating 5 min to 95 °C and then ramp to 4 °C at 0.1 °C s−1.
The binding assay was performed in a final reaction volume of 20 μL containing 80 pmol His-tagged AcrC protein, 4 μL of 5× EMSA binding buffer (100 mM Na2HPO4, 375 mM KCl, 25% Glycerin, pH 8), 2.5 mM MgCl2 and 0.1 mM EDTA. In addition, 0.05 μg of herring sperm DNA and 0.1 μg BSA (bovine serum albumin) was added to each reaction to block unspecific protein-DNA interactions. After incubation for 20 min at room temperature the samples were separated on a 10% native polyacrylamide gel (Biorad, Hercules, CA, USA) at 170 V using TBE (89 mM Tris base, 89 mM boric acid, 2 mM EDTA) as running buffer. The gel was scanned on a Typhoon 8600 Variable Mode Imager (GE Healthcare, Little Chalfont, UK).
Additional files
Acknowledgments
We thank Bohdan Ostash and Liliya Horbal for providing strains and plasmids and Robin Wördenweber for proofreading this manuscript. JD, TG, VO and TW acknowledge support from the CLIB-Graduate Cluster Industrial Biotechnology at Bielefeld University, Germany, which is supported by the Ministry of Innovation, Science and Research (MIWF) of the federal state North Rhine-Westphalia, Germany and Bielefeld University, Germany. We gratefully thank our cooperation partner Bayer AG (Leverkusen, Germany) for their continuous support and funding.
Funding
This study was funded by the Bayer AG and CLIB-Graduate Cluster Industrial Biotechnology. We acknowledge support of the publication fee by Deutsche Forschungsgemeinschaft and the Open Access Publication Funds of Bielefeld University.
Availability of data and materials
The microarray datasets generated during the current study are available in the ArrayExpress database (www.ebi.ac.uk/arrayexpress) under accession number E-MTAB-5459. All other datasets supporting the conclusions of this article are included within the article and its additional files.
Abbreviations
- AcrC
Acarbose regulator C
- ds oligo
Double-stranded oligonucleotides
- DSE
Dyadic symmetry element
- EMSA
Electrophoretic mobility shift assays
- Glc-MM
Glucose minimal medium
- HTH
Helix-turn-helix
- Mal-MM
Maltose minimal medium
- nAcb
Acarbose biosynthesis
- RT-qPCR
Reverse transcription quantitative PCR
- wt
Wild type
Authors’ contributions
JD and TW designed, planed and interpreted the experimental work of this study. TG developed PCR targeting for Actinoplanes sp. SE50/110. TG, VO and TW constructed the deletion mutant. JD and TW carried out the transcriptomic experiments. JD carried out all other experimental work and revised the manuscript. TW drafted the manuscript. JK, AP, SSB and VO assisted in interpreting the data and revised the manuscript. TZ advised the project and was involved in revising the manuscript. JK and AP coordinated this study. All authors read and approved the final manuscript.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Footnotes
Electronic supplementary material
The online version of this article (doi:10.1186/s12864-017-3941-x) contains supplementary material, which is available to authorized users.
Contributor Information
Timo Wolf, Email: twolf@cebitec.uni-bielefeld.de.
Julian Droste, Email: jdroste@cebitec.uni-bielefeld.de.
Tetiana Gren, Email: tagren@cebitec.uni-bielefeld.de.
Vera Ortseifen, Email: vera@cebitec.uni-bielefeld.de.
Susanne Schneiker-Bekel, Email: schneike@cebitec.uni-bielefeld.de.
Till Zemke, Email: till.zemke@bayer.com.
Alfred Pühler, Email: puehler@cebitec.uni-bielefeld.de.
Jörn Kalinowski, Email: Joern.Kalinowski@cebitec.uni-bielefeld.de.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The microarray datasets generated during the current study are available in the ArrayExpress database (www.ebi.ac.uk/arrayexpress) under accession number E-MTAB-5459. All other datasets supporting the conclusions of this article are included within the article and its additional files.