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Article

Developing a Riboswitch-Mediated Regulatory System for Metabolic Flux Control in Thermophilic Bacillus methanolicus

Department of Biotechnology and Food Sciences, Norwegian University of Science and Technology, 7034 Trondheim, Norway
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2021, 22(9), 4686; https://doi.org/10.3390/ijms22094686
Submission received: 12 March 2021 / Revised: 22 April 2021 / Accepted: 27 April 2021 / Published: 28 April 2021
(This article belongs to the Special Issue Microbial Systems and Synthetic Biology)

Abstract

:
Genome-wide transcriptomic data obtained in RNA-seq experiments can serve as a reliable source for identification of novel regulatory elements such as riboswitches and promoters. Riboswitches are parts of the 5′ untranslated region of mRNA molecules that can specifically bind various metabolites and control gene expression. For that reason, they have become an attractive tool for engineering biological systems, especially for the regulation of metabolic fluxes in industrial microorganisms. Promoters in the genomes of prokaryotes are located upstream of transcription start sites and their sequences are easily identifiable based on the primary transcriptome data. Bacillus methanolicus MGA3 is a candidate for use as an industrial workhorse in methanol-based bioprocesses and its metabolism has been studied in systems biology approaches in recent years, including transcriptome characterization through RNA-seq. Here, we identify a putative lysine riboswitch in B. methanolicus, and test and characterize it. We also select and experimentally verify 10 putative B. methanolicus-derived promoters differing in their predicted strength and present their functionality in combination with the lysine riboswitch. We further explore the potential of a B. subtilis-derived purine riboswitch for regulation of gene expression in the thermophilic B. methanolicus, establishing a novel tool for inducible gene expression in this bacterium.

1. Introduction

Transcriptomic data are a source of ample information on different regulatory elements including putative riboswitches and promoters. Riboswitches are RNA cis-regulatory elements present in genomes of organisms that belong to all domains of life: bacteria, archaea and eukaryotes, and mostly prevalent in bacteria and archaea [1]. They are located in the 5′ untranslated region of mRNA, upstream of the genes whose expression they regulate. Riboswitches usually consist of two domains: an aptamer, which is a sensing domain, and an expression platform—a regulating domain [2]. Riboswitches allosterically regulate gene expression through binding of a small-molecule ligand to the aptamer domain causing a conformational change, which then results in modification of specific gene expression [2]. This can for example contribute to regulation of activity of metabolic pathways such as the biosynthesis of vitamins (e.g., riboflavin, thiamine and cobalamin) and the metabolism of methionine, l-lysine and purines [3]. The mechanisms of action of riboswitches frequently found in bacterial species include transcription termination, translation initiation, mRNA degradation, splicing or RNA interference, with transcription termination being the most frequent [4,5]. Transcription termination is a mode of action of lysine riboswitch present in Bacillus subtilis, whereas the Escherichia coli-derived lysine riboswitch is a dual-acting riboswitch which, in addition to modulating translation initiation, is involved in the control of initial mRNA decay [6,7,8,9]. An example of a riboswitch with an atypical mode of action is a B. subtilis-derived riboswitch located upstream of the pbuE gene, encoding a purine efflux pump. In adenine-deficient conditions, the riboswitch is in an ‘off’-state and prevents gene expression by introduction of transcription termination through formation of a large hairpin [10]. This structure composed of 22 base pairs serves as an intrinsic terminator [10]. Thanks to this property, the pbuE riboswitch can be used as a part of an inducible gene expression system. It can be activated by purine analogues that are close chemical variants of adenine, 2,6-diaminopurine (2,6-DAP), 2-aminopurine (2-AP), purine (P) and N6-methyladenine (MA) [10].
Riboswitches have multiple potential uses in drug development as targets for antibacterial compounds, and in biotechnology as a tool for strain engineering. Popular engineering strategies involve the use of riboswitches to regulate the expression of the genes in the biosynthetic pathways competitive to the one of the chosen product [11,12], to deactivate riboswitch-controlled feedback inhibition in selected biosynthetic pathways [13] or to achieve dynamic control of the parts of biosynthetic pathways that can constitute metabolic burden for the cells, for example membrane proteins such as product transporters [14]. The desired riboswitches can either be detected through screening of sequences selected based on transcriptomic and functional studies [12,15], or designed using screening [2,11,16,17] or based on the pre-existing data [13].
Use of riboswitches for the fine-tuned regulation of gene expression is a promising prospect in strain engineering. In addition, access to repertoires of different promoters is fundamental for metabolic engineering of production strains. A common approach towards identification and characterization of novel promoters is based on screening of libraries of synthetic promoters, whose sequences are either completely randomized or partially based on consensus promoter sequences [18,19,20,21]. An exciting possibility for promoter engineering has emerged with development of systems biology technologies that include analysis of genomes, transcriptomes, proteomes and metabolomes. The primary transcriptome data provide information about transcription start sites and can be used for prediction of promoter sequences. This, in combination with information about transcripts abundancies, is a basis for determination of promoter strength and thus for a rational design of regulatory elements. In fact, this approach has been successfully used for identification and characterization of novel promoters in various bacterial species in recent years [18,22,23,24,25,26].
Bacillus methanolicus is a thermophilic bacterium with the potential of becoming an industrial workhorse for biotechnological production of value-added chemicals [27]. The wild-type MAG3 strain can naturally overproduce l-glutamate in methanol-controlled fed-batch fermentations, with final titers up to 60 g L−1 [28,29]. This feature is especially interesting as amino acids currently constitute most compounds produced in bioprocesses [30]. The possibility of establishing environmentally-friendly bioprocesses for production of bulk chemicals with the use of B. methanolicus as a host organism has spiked the interest of the scientific community in this bacterium and led to developments in understanding its metabolism, including characterization of its transcriptome [31,32,33,34,35]. Based on the genomic and transcriptomic data of the methylotrophic B. methanolicus, novel regulatory elements, such as a mannitol-inducible promoter, were previously predicted and characterized [36]. Here, we identify a putative lysine riboswitch based on transcriptomic data from B. methanolicus, characterize it and use it in a gene regulation system. From the same data, we further identify and characterize 10 promoters of diverse strength. Moreover, we use previously described B. subtilis-derived pbuE riboswitch to control gene expression in B. methanolicus [10].

2. Results

2.1. Transcriptome Analysis for Discovery of Novel Regulatory Elements

As previously described, the primary and whole transcriptomes of B. methanolicus were characterized through sequencing of mRNA isolated from B. methanolicus samples collected during cultivations in 16 different conditions [37]. This allowed for creation of a series of databases that cover a wide range of transcriptomic features such as transcriptional organization of operons, mRNA abundances, presence of cis-regulatory RNA elements and novel transcripts.
It was predicted in that study that the 5′ untranslated region (5′ UTR) in mRNA belonging to the locus BMMGA3_01150 contains a putative lysine riboswitch. The gene located in locus BMMGA3_01150 in the genome of B. methanolicus encodes a putative amino acid permease similar to lysine permease YvsH from B. subtilis (51.64% identity), arginine:ornithine antiporter ArcD from Pseudomonas aeruginosa PAO1 (36.73% identity) and the lysine permease LysI from Corynebacterium glutamicum 13032 (27.77% identity). Rodionov et al. (2003) identified highly specific regulatory elements responsive to l-lysine upstream of the yvsH orthologs in different Bacillus species, e.g., B. subtilis, B. cereus, B. halodurans, Geobacillus steorothemophilus, which led them to suggest that YvsH is involved in the lysine transport in the above bacilli [37]. The sequence of 5′ UTR in the mRNA of locus BMMGA3_01150 was unraveled based on the primary transcriptome data which indicate the location of transcription start site (TSS) marked in Figure 1A with a red arrow.
Here, we study the transcript abundancies and the transcription start sites for respective transcripts to predict the sequence of the putative lysine riboswitch and to create a small set of promoters putatively differing in their strength, with a goal of detection and characterization of lysine riboswitches and novel promoters. Based on the available data for primary and whole transcriptome, 10 promoters differing in their strength were selected (Table 1). The promoter sequences were established using the location of the respective TSSs and the assumed strength using the information of transcripts abundancies expressed in LogRPKM unit [32].
To test the chosen promoters, the sequence upstream of the TSS in the methanol dehydrogenase (mdh) gene promoter (Pmdh) in pTH1mp-sfGFP construct was replaced with the 200 bp sequences identified upstream of TSS of the genes with loci listed in Table 1. The resulting vectors were transformed to appropriate B. methanolicus hosts and the recombinant strains tested for fluorescence activity (Section 2.7).

2.2. Detection of Putative Lysine Riboswitch in the Genome of B. methanolicus

In the first stage of the lysine riboswitch analysis, the sequence of 5′ UTR of the gene in locus BMMGA3_01150 was compared to the Rfam database using nhammer tool that enables improved detection of remote DNA homologs. This comparison indicates that the sequence of the putative lysine riboswitch is: AGAUGAGGUAGAGGUCGCGGUGUUUAUUAGUAAAUUGUCCGAGAGUCAGAGAAACUCGAUGAAGCAAUUGAAAGGAACCACCGCCGAAGCGCCAUAAUUUCUCUGGUUAUGGCAGCUGGGGCUGUAUCCGAACAGGUGCAGAACUGUCAUGGCGUUUGCUAUGAUGAACUAUCCAUUU [39,42] and its secondary structure is similar to the lysine riboswitch structure derived from B. subtilis (Figure 1B,C) [39,40].

2.3. Construction of Model System to Characterize Riboswitches in B. methanolicus

To study the chosen riboswitches in B. methanolicus, an expression system, pTH1mp-sfGFP, composed of the reporter gene sfGFP under control of mdh promoter cloned intro a low-copy number rolling-circle vector derived from pHP13 was used. For testing of the riboswitches, the 5‘ UTR sequence of the mdh promoter was exchanged with the respective 5‘ UTR sequences that contained the analyzed riboswitches, as depicted in Figure 2.
In the case of the B. methanolicus-derived putative lysine riboswitch, the 5′ UTR of the gene in locus BMMGA3_01150 was used to replace the 5′ UTR in mdh promoter, and in this way plasmid pTH1mplrBM-sfGFP was created. The plasmid was then used to transform different hosts to tests lysine riboswitch functionality and characteristics in B. methanolicus, as well as mesophilic B. subtilis and E. coli.

2.4. Characterization of Functionality of Putative Lysine Riboswitch from B. methanolicus

To study the effect of lysine on sfGFP fluorescence in bacterial strains with plasmids where sfGFP expression is regulated by mdh promoter (pTH1mp-sfGFP) or mdh promoter and B. methanolicus-derived lysine riboswitch (pTH1mplrBM-sfGFP), 20 mM l-lysine was added to the growth medium. A strain carrying the empty vector (pTH1mp) was used as control. The effect of l-lysine supplementations on the sfGFP fluorescence from different bacterial strains is shown in Figure 3. For all three bacterial strains (B. methanolicus, B. subtilis and E. coli), the sfGFP fluorescence decreased when l-lysine was added in the case where sfGFP expression is controlled by lysine riboswitch (pTH1mplrBM-sfGFP construct). For strains carrying the control vector (pTH1mp-sfGFP), the decrease in sfGFP fluorescence was either lower than for the strains carrying pTH1mplrBM-sfGFP or did not occur at all. Since the effect of l-lysine supplementation on sfGFP fluorescence in the strain carrying the control vector pTH1mp-sfGFP is visible only in one of the tested hosts, we attribute this effect to specific differences between the metabolism of the host organisms rather than to changes in the activity of mdh promoter. We additionally confirmed that the riboswitch responds exclusively to supplementation with l-lysine and no other amino acids tested (l-methionine, l-ornithine or l-proline). Some effect was shown due to supplementation of cadaverine; however, this was most probably due to the structural similarity between cadaverine and l-lysine (Supplementary Table S3). This means that the B. methanolicus-derived riboswitch is active in B. methanolicus in the presence of 20 mM l-lysine (Figure 3). We could also show that it is possible to functionally transfer a riboswitch derived from a thermophilic host to the mesophilic hosts B. subtilis and E. coli. To our knowledge, this is first report of transfer of a functional riboswitch derived from a thermophilic bacterium to mesophilic hosts. It should be noted that addition of l-lysine to the growth medium seems to affect growth rates and expression of sfGFP for all strains, including the control strain. However, the influence of the lysine riboswitch exceeds the physiological effect of the l-lysine supplementation.

2.5. Sensitivity of B. methanolicus-Derived Lysine Riboswitch in Its Native Host to Intracellular l-lysine Concentration

To assess the sensitivity of the B. methanolicus-derived lysine riboswitch to changes in the l-lysine concentration, the titration of its activity was performed via the cultivation of the MGA3(pTH1mplrBM-sfGFP) strain, that carries the plasmid contacting the construct with its native lysine riboswitch, in a minimal medium supplemented with the following concentrations of l-lysine 0, 0.2, 0.4, 2.5, 5, 10, and 20 mM. As shown in Figure 4, the fluorescence intensity decreases with increasing concentrations of l-lysine. The 20 mM lysine is enough to fully inhibit expression of sfGFP in the tested strain.

2.6. Sensitivity of B. methanolicus-Derived Lysine Riboswitch in Its Native Host Extracellular l-lysine Concentration

An important consideration is that the response of the lysine riboswitch depends strongly on the import rate of l-lysine into the bacterial cells. To better understand the response of the riboswitch to different l-lysine intracellular concentrations, we analyzed the fluorescence of sfGFP reporter protein, encoded by a lysine riboswitch-controlled gene in the wild-type B. methanolicus MGA3 strain and a l-lysine-overproducing strain M168-20. Both strains were transformed with the pTH1mplrBM-sfGFP plasmid and the fluorescence levels in each strain were evaluated. B. methanolicus strain M168-20 is a l-lysine-secreting classical mutant able to produce 140 mg L−1 of lysine during shake flask cultivations, which is approximately 20-fold higher than the wild-type strain MGA3 with l-lysine titers of 7 mg L−1 during flask cultivations [43,44,45]. As shown in Figure 5, when the M168-20 strain carrying the pTH1mplrBM-sfGFP plasmid was cultivated with or without addition of l-lysine to the medium, no sfGFP fluorescence was observed, indicating that the intracellular l-lysine concentration was high enough to completely arrest the expression sfGFP under control of lysine riboswitch. The differences in l-lysine secretion between wild-type and lysine-producing strains were confirmed experimentally and with l-lysine titers for analyzed strains presented in Supplementary Table S4. This finding suggests that the lysine riboswitch-based system can potentially be used as an indicator for the intracellular accumulation of l-lysine, and for regulation of gene expression and subsequent metabolic flux control in l-lysine-overproducing strains.

2.7. Characterization of Novel Promoters in B. methanolicus

By using the published transcriptomic data for B. methanolicus, we were able to identify a series of promoters differing in strength (Section 2.1; [32]). To experimentally validate the promoter strengths during methanol-based growth, we replaced the mdh promoter in pTH1mp-sfGFP plasmid with the selected promoters. The sequence of the ribosome binding site (RBS) was left unaltered to exclude any effect of the protein translation on the final sfGFP fluorescence. A total of 10 promoters with predicted different strengths were selected for further testing. However, the sequence predicted to be the strongest chromosome-based promoter (p01; Phps-phi) was not included due to technical issues with strain construction. As expected, the use of the selected promoters for control of sfGFP expression led to different levels of sfGFP fluorescence (Figure 6), either higher or lower than in the control strain MGA3 (pTH1mp-sfGFP), carrying the mdh promoter. However, since mdh is a plasmid-born gene in B. methanolicus, it is not possible to directly compare the transcriptomic data for that gene with the data on sfGFP fluorescence [46].

2.8. Consolidation of Identified Promoters and Lysine Riboswitch to Create Novel Tools for Gene Expression Regulation

To expand the potential applicability of newly characterized lysine riboswitch and some of the tested promoters, we substituted the mdh promoter upstream of the lysine riboswitch. Based on the initial screening, four promoters were chosen to be used together with the lysine riboswitch for the control of sfGFP expression. Promoters p05 and p12 were included as promoters potentially stronger than mdh promoter, and promoter p18 as potentially weaker. We also included p01 (Phps-phi) which is predicted to be the strongest chromosomal promoter of B. methanolicus but was not able to experimentally validate this in this study. As shown in Figure 7, the background expression from the Phps-phi promoter is 7.3-fold stronger than from mdh promoter however, it also leads to higher translation readthrough when the riboswitch is activated by addition of l-lysine. Some discrepancies are observed between the strength of tested promoters when the riboswitch is present in the construct in comparison to constructs without the riboswitch. However, the general trend for the promoter strength showed that p05 and p12 are stronger than the mdh promoter and p18 is weaker. Here, we could show that the riboswitch-controlled gene expression can be additionally affected by the strength of the promoter located upstream of this regulatory element.

2.9. Transfer of Mesophilic Riboswitches to Thermophilic B. methanolicus

To further expand the genetic toolbox for B. methanolicus the new genetic system for riboswitch characterization (Section 2.3) was used to test the activity of B. subtilis-derived pbuE riboswitch in B. methanolicus. We also tested a variation of the pbuE-riboswitch with a modified P1 region, which can potentially lead to an increase in the sensitivity and dynamic range of the inducible system, as described in Marcano-Velazquez et al. (2019). The P1 region is a part of a purine riboswitch aptamer which forms a three-way RNA junction from helix P1 and hairpins P2 and P3, and changes in length of P1 helix affect the activity of pbuE riboswitch in the presence of 2-aminopurine [47]. Additionally, we have tested the pbuE riboswitch under the control of the Phps-phi promoter.
As shown in Figure 8, the pbuE riboswitch is functional in B. methanolicus, and it is activated by supplementation of 1 mM 2-aminopurine into the growth media. Furthermore, both exchange of the promoter as well as the introduction of a mutation in the P1 helix have effect on the activity of the pbuE riboswitch. Exchange of the mdh promoter to the Phps-phi led to two changes in the activity of the riboswitch. Firstly, the background fluorescence of the reporter protein, sfGFP, increased which can be caused the fact that the Phps-phi promoter is putatively stronger than the mdh promoter. Secondly, in an activated state of the riboswitch—the sfGFP fluorescence was higher in the construct with a Phps-phi promoter in comparison to mdh promoter, this observation is could also be caused by the differences in promoter strength. The modification in the P1 region led to increased responsiveness of the riboswitch to supplementation with 2-aminopurine and slightly increased background in comparison to the wildtype version of the riboswitch. The use of pbuE riboswitch with P1 modification leads to relatively low background expressions together with adequately high expression in its fully induced state. In fact, when the modified variant of the pbuE riboswitch was used, the sfGFP fluorescence in its fully induced state was as high as the sfGFP fluorescence in strain containing control construct pTH1mp-sfGFP. Altogether, we were able to create a novel system for control of gene expression in B. methanolicus.

3. Discussion

In this study, a genetic system for investigation of properties of riboswitches in the thermophilic and methylotrophic B. methanolicus was created and used for characterization of a putative native lysine riboswitch and a B. subtilis-derived pbuE riboswitch. Based on the available transcriptomic data for B. methanolicus MGA3 the sequence of the putative lysine riboswitch was annotated and experimentally validated. It was shown to be functional in its native host and in two heterologous, mesophilic hosts. To our knowledge, this is a first example of functional transfer of the riboswitch from a thermophilic host to its mesophilic counterpart.
In order to fully activate the B. methanolicus-derived lysine riboswitch in its native host, l-lysine was supplemented to a final concentration of 5 mM (750 mg L−1) whereas B. subtilis and E. coli-derived riboswitches tested either in their native hosts or in C. glutamicum are activated by addition of 0.1 mM l-lysine or less [6,9,12]. This discrepancy in concentration of supplemented l-lysine can be caused either by differences in sensitivity of different riboswitches or by the activity of the l-lysine import system in different bacteria. The import and export system for l-lysine is not fully elucidated in B. methanolicus and it is, therefore, not possible to predict how the supplementation of growth medium affects the intracellular l-lysine concentrations in B. methanolicus [48]. For that reason, we tested the behavior of the lysine riboswitch in l-lysine-overproducing strain M168-20. Based on the available data for wild-type MGA3 and l-lysine-overproducing NOA2#13A52-8A66 strains, the intracellular l-lysine concentration in M168-20 can be assumed to lie within the range of 2.3–66.8 mM [29]. Our data show that this intracellular l-lysine concentration is enough to fully suppress expression of sfGFP under control of lysine riboswitch in M168-20 strain without additional supplementation of growth media with l-lysine. This result suggest that the B. methanolicus-derived riboswitch is less sensitive to changes in l-lysine concentrations than E. coli and B. subtilis-derived riboswitches which may be caused by the fact that the intracellular concentration of l-lysine in B. methanolicus is higher than in B. subtilis or E. coli [6,12,29,49].
Furthermore, a set of 10 different promoter sequences were identified based on transcriptomic data and experimentally verified for B. methanolicus in this study. Hitherto, only three promoters have been shown to be functional in B. methanolicus, one of them being mdh promoter. Methanol dehydrogenase constitutes up 22% of total soluble protein in cells of B. methanolicus grown under methanol-limiting conditions which makes it one of the most abundant proteins in the proteome of B. methanolicus [33,50]. The screening results of selected promoter sequences do not exactly reflect predictions made based on the transcriptomic data. This finding is not surprising, as the transcriptomic data were created based on the mRNA isolated from cells cultivated under different conditions, and the promoter activity in the current study was measured only in one of the conditions used for transcriptome analysis [37]. Altogether, the transcriptomic data are a useful guide for selection of active promoters based on the theoretical estimation of their strength, and it can be therefore used in future studies when a wide range of active promoters is needed. This approach for search of functional regulatory elements was shown to be successful before and seems to have some advantages over the use of libraries of randomized promoter sequences [18,22,23,24,25,26].
Promoters from the newly created collection were combined with the sequence of the characterized lysine riboswitch to establish a new tool for regulation of gene expression in B. methanolicus. Three promoters tested in this study were chosen, together with the untested promoter that regulates the expression of the operon encoding 3-hexulose-6-phosphate synthase (Hps) and phosphohexose isomerase (Phi) Phps-phi (p01). Based on the transcriptomic and enzymatic activity data, this promoter can be assumed to be strong in B. methanolicus [51,52]. The exchange of mdh promoter with other promoters had, in most of the cases, a predictable effect on the sfGFP fluorescence intensity; the use of promoters designated as p01 and p12 led to increased sfGFP fluorescence when the lysine riboswitch was not activated and use of p18 led to decreased fluorescence in comparison to mdh promoter. The residual (background) sfGFP fluorescence after l-lysine supplementation differed accordingly depending on the promoter strength, as it was higher for stronger promoters. This finding shows the flexibility and predictability of the lysine riboswitch-controlled system which will allow for its future use in more complex genetic systems.
Lastly, a system for regulation of gene expression based on the. B. subtilis-derived pbuE riboswitch was created and shown to be functional in B. methanolicus. This is in accordance with previous experiments, where it was active in different bacterial species, E. coli, B. subtilis, and thermophilic Geobacillus thermoglucosidasius and Clostridium thermocellum [53,54,55]. It was previously shown that genetic elements are transferable between mesophilic and thermophilic bacterial species, for example B. megaterium-derived xylose-inducible promoter drives gene expression in B. methanolicus. Furthermore, signal peptides derived from G. stearothermophilus, B. subtilis and B. licheniformis support protein secretion in B. methanolicus [41,56]. The pbuE riboswitch-based gene expression system has beneficial features for use in B. methanolicus. Firstly, 2-AP that is used for its activation is a gratuitous inducer, meaning that it does not serve as a carbon source for B. methanolicus. Furthermore, a pbuE riboswitch-based gene expression system is titratable which renders it useful for sensitive applications, such as expression of host toxic gene products. The properties of the system can be modified through exchange of the promoter upstream of pbuE-riboswitch. However, use of a strong promoter Phps-phi was not beneficial in this case as it led to increased background. The change in sequence of P1 helix, which functions as the antitermination element of the pbuE riboswitch, led to improved properties for regulation of gene expression, as the sfGFP fluorescence upon full induction increased in comparison to wild-type lysine riboswitch, while remaining tunable, inducible and maintaining a low background expression.
The riboswitch-based systems developed here can potentially be used for the regulation of gene expression in B. methanolicus, with lysine riboswitches being especially useful for regulation of the genes that belong to the lysine biosynthesis pathway and 2-aminopurine riboswitch for inducible gene expression. Furthermore, use of regulated gene expression systems that are functional both in E. coli and B. methanolicus can become a solution to reoccurring cloning problems caused by utilization of a strong, constitutive promoter Pmdh. High-level expression in E. coli is well studied and established, but expression of toxic genes especially requires special attention in order to avoid detrimental effects on the livability of E. coli cells [57]. Widely used approaches involve usage of pre-determined vector-host systems and control of plasmid copy number and tightly controlled promoters [58,59,60]. More conveniently, other approaches allow use of the vector of choice by utilizing different E. coli strains, reducing the copy number of ColE1-derived plasmids (CopyCutter EPI400 cells from Epicentre, Illumina, or ABLE C and K strains from Agilent), or by reducing incubation temperature. In the case of the B. methanolicus-derived riboswitch described in this study, expression of the gene of choice is strongly reduced in E. coli when placed under control of the riboswitch, allowing toxic genes/proteins to be cloned.

4. Materials and Methods

4.1. Strains, Plasmids, and Primers

Bacterial strains and plasmids used in this study are listed in Table 2, and primers (Sigma Aldrich) are listed in Supplementary Table S1. The E. coli strain DH5α was used as a general cloning host. The following strains were used as sources of gDNA for cloning of the lysine riboswitches: B. subtilis 168, B. methanolicus MGA3 and E. coli MG1655, and as hosts for screening of lysine riboswitches: B. subtilis 168, B. methanolicus MGA3. B. methanolicus M168-20 and E. coli DH5α.

4.2. Molecular Cloning

E. coli DH5α-competent cells were prepared according to the calcium chloride protocol, as described previously [62]. All standard molecular cloning procedures were carried out as described in Sambrook and Russell (2001) [63] or according to manuals provided by producers. Genomic DNA from B. subtilis 168, B. methanolicus MGA3 and E. coli MG1655 was isolated [64]. PCR products were amplified using Cloneamp HiFi PCR Premix (Takara) and purified using a QIAquick PCR Purification kit from Qiagen. DNA fragments were separated using 0.8% SeaKem LE agarose gels (Lonza) and isolated using a QIAquick Gel Extraction Kit (Qiagen). DNA fragments were joined by the means the isothermal DNA assembly [65]. Table 3 presents the list of DNA fragments that were used for plasmid construction this study. Colony PCR was performed using GoTaq DNA Polymerase (Promega). The sequences of cloned DNA fragments were confirmed by Sanger sequencing (Eurofins). B. methanolicus MGA3 and M168-20 were made electrocompetent and transformed by electroporation as described by Jakobsen et al. (2006) with modifications [56,66].

4.3. Media and Conditions for Shake Flask Cultivations

Recombinant E. coli and B. subtilis strains were cultivated at 37 °C in Lysogeny Broth (LB) or on LB agar plates [67] supplemented, when necessary, with 15 or 5 μg mL−1 chloramphenicol, respectively. For experiments involving lysine riboswitches, strains of E. coli and B. subtilis were cultivated at 37 °C in minimal medium MVcM supplemented with 10 g L−1 glucose, 20 mM l-lysine and 15 or 5 μg mL−1 chloramphenicol, respectively, unless stated otherwise. For standard cultivations, recombinant strains of B. methanolicus were cultivated in MVcM minimal medium with 200 mM methanol supplemented with 5 μg mL−1 chloramphenicol. MVcM medium contained the following, in 1 L of distilled water: K2HPO4, 4.09 g; NaH2PO4*H2O, 1.49 g; (NH4)2SO4, 2.11 g and was adjusted to pH 7.2 before autoclaving. MVcM medium was supplemented with 1 mL 1 M MgSO4*7H2O solution, 1 mL trace elements solution and 1 mL vitamin solution. The 1 M MgSO4*7H2O solution contained 246.47 g of MgSO4*7H2O in 1 L of distilled water, trace elements solution contained the following, in 1 L of distilled water: FeSO4*7H20, 5.56 g; CuSO4*2H2O, 27.28 mg; CaCl2*2H2O, 7.35 g; CoCl2*6H2O, 40.50 mg; MnCl2*4H2O, 9.90 g; ZnSO4*7H2O, 287.54 mg; Na2MoO4*2H2O, 48.40 mg; H3BO3, 30.92 mg; HCl, 80 mL and vitamin solution contained the following, in 1 L of distilled water: biotin, thiamine hydrochloride, riboflavin, calcium d-pantothenate, pyridoxine hydrochloride, nicotinamide, 0.1 g each; 4-aminobenzoic acid, 0.02 g; folic acid, vitamin B12 and lipoic acid, 0.01 g each [52]. When needed, 10 g L−1 xylose (v/v) was added for induction. The 20 mM l-lysine or 1 mM 2-aminopurine were added when necessary. For precultures, minimal medium supplemented with 0.25 g L−1 yeast extract, designated MVcMY, was used. Cultivations were performed in triplicates in 250 mL baffled flasks (40 mL, 200 rpm, 50 °C), inoculated to a starting OD600 = 0.2. Growth was monitored by measuring OD600 with a cell density meter (WPA CO 8000 Biowave). Specific growth rates were calculated from the exponential phase, by calculating the slope of semi logarithmic plots of optical density versus time over a suitable period of time.

4.4. Fluorescence Microplate Assay

Bacterial strains were cultivated at either 37 or 50 °C in MVcM supplemented with 5 μg mL−1 chloramphenicol and 20 mM l-lysine for at least 6 h, reaching a minimum OD600 = 0.4 (one doubling) before harvesting. For fluorescence microplate assays, cells were harvested by centrifugation at 13,000 rpm for 10 min and washed twice with PBS, before resuspension in PBS. A volume of 200 μL of resuspended cells were used for measuring fluorescence in microtiter plates (Falcon™ 96-well, clear bottom black polystyrene Imaging Microplate). An Infinite 200 PRO plate reader (Tecan Group Ltd.) was used for fluorescence measurements, with settings: ex 485/9 nm, em 535/20 nm. sfGFP signals were collected with a gain setting of 90 and divided by OD600for normalization.

4.5. Determination of Amino Acid Concentration

For the analysis of amino acids concentrations, 1 mL of the bacterial cultures was centrifuged for 10 min at 13,000 g. Extracellular amino acids were quantified by means of high-pressure liquid chromatography (Waters Alliance e2695 Separations Module) after FMOC-Cl (fluorenylmethyloxycarbonyl chloride) derivatization of the supernatants, according to the protocol described before [68]. Samples were separated on a C18 column (Symmetry C18 Column, 100 Å, 3.5 µm, 4.6 mm × 75 mm, Waters) according to the gradient flow presented in Table 4 where A is the elution buffer (50 mM Na-acetate pH = 4.2) and B is an organic solvent (acetonitrile).
The detection was performed with a fluorescence detector (Waters 2475 HPLC Multi Fluorescence Detector), with excitation and emission at 265 and 315 nm, respectively.

5. Conclusions

In this report, we present the feasibility of riboswitch-based systems for control of gene expression in a thermophilic methylotroph, B. methanolicus MGA3. Based on the RNA-seq data, we have detected a putative lysine riboswitch in the genome of B. methanolicus and confirmed its functionality through analysis of changes in sfGFP fluorescence with and without the presence of l-lysine. The response of the lysine riboswitch to changes in intra- and extracellular concentrations of l-lysine B. methanolicus demonstrates its feasibility for potential use in metabolic engineering for metabolic flux control or as a lysine sensor. Furthermore, ten novel promoters were predicted based on RNA-seq data and here experimentally shown to be functional in B. methanolicus. The promoters differ in their strength, ranging from 0.1- to 5.9-fold of the activity of the control promoter, Pmdh. A system for regulation of gene expression based on the B. subtilis-derived pbuE riboswitch was created and shown to be functional in B. methanolicus. Lastly, the genetic tools were used in combination, presenting the potential for creation of novel genetic systems for control of gene expression in B. methanolicus.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/ijms22094686/s1, Table S1: List of primers used in this study, Table S2: Relative mean sfGFP fluorescence in pellets of B. methanolicus, B. subtilis, or E. coli recombinant strains carrying empty vector (pTH1mp), vector with sfGFP gene under the control of the Pmdh (pTH1mp-sfGFP) and vector with sfGFP gene under the control of the Pmdh and lysine riboswitch (pTH1mplrBM-sfGFP). OD600 normalized fluorescence from strains carrying the empty vector and vector pTH1mp-sfGFP are used as controls. OD600 normalized sfGFP fluorescence from cultures without or with 20 mM lysine added is shown (raw data for Figure 3). Table S3. Effect of different amino acids on activity of lysine riboswitch. OD600 normalized sfGFP fluorescence from cultures without addition of amino acid or with 10 mM l-lysine, cadaverine, l-methionine, l-ornithine or l-proline is shown. The standard deviation of technical triplicates is shown. Table S4. L-Lysine final titers for MGA3 and M168-20 strains carrying different plasmids for controlled sfGFP production. The means of triplicates with standard deviations are shown.

Author Contributions

Experimental procedure and the data analysis, M.I. and S.H.; writing—original draft preparation, M.I.; writing—review and editing, M.I., S.H. and T.B.; coordination, T.B.; funding acquisition, M.I. and T.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The Research Council of Norway within ERA CoBioTech, an ERA-Net Cofund Action under H2020, grant number 285794 ERA-NET. SH acknowledges support ERA_MBT project ThermoFactories funded by Research Council of Norway.

Acknowledgments

We thank Michael Davidson and Geoffrey Waldofor plasmid sfGFP-pBAD. We thank dr. Eivind B. Drejer for technical assistance in creation of pTH1mp-sfGFP construct and Eirik Jelstad for technical assistance in creation of plasmids for testing the strength of different promoters.

Conflicts of Interest

No conflicts of interest exist.

References

  1. Pavlova, N.; Kaloudas, D.; Penchovsky, R. Riboswitch distribution, structure, and function in bacteria. Gene 2019, 708, 38–48. [Google Scholar] [CrossRef] [PubMed]
  2. Xiu, Y.; Jang, S.; Jones, J.A.; Zill, N.A.; Linhardt, R.J.; Yuan, Q.; Jung, G.Y.; Koffas, M.A.G. Naringenin-responsive riboswitch-based fluorescent biosensor module for Escherichia coli co-cultures. Biotechnol. Bioeng. 2017, 114, 2235–2244. [Google Scholar] [CrossRef] [PubMed]
  3. Vitreschak, A.G. Riboswitches: The oldest mechanism for the regulation of gene expression? Trends Genet. 2004, 20, 44–50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Machtel, P.; Bąkowska-Żywicka, K.; Żywicki, M. Emerging applications of riboswitches—From antibacterial targets to molecular tools. J. Appl. Genet. 2016, 57, 531–541. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Sinumvayo, J.P.; Zhao, C.; Tuyishime, P. Recent advances and future trends of riboswitches: Attractive regulatory tools. World J. Microbiol. Biotechnol. 2018, 34, 171. [Google Scholar] [CrossRef] [PubMed]
  6. Blount, K.F.; Wang, J.X.; Lim, J.; Sudarsan, N.; Breaker, R.R. Antibacterial lysine analogs that target lysine riboswitches. Nat. Chem. Biol. 2006, 3, 44–49. [Google Scholar] [CrossRef] [PubMed]
  7. Grundy, F.J.; Lehman, S.C.; Henkin, T.M. The L box regulon: Lysine sensing by leader RNAs of bacterial lysine biosynthesis genes. Proc. Natl. Acad. Sci. USA 2003, 100, 12057–12062. [Google Scholar] [CrossRef] [Green Version]
  8. Sudarsan, N.; Wickiser, J.K.; Nakamura, S.; Ebert, M.S.; Breaker, R.R. An mRNA structure in bacteria that controls gene expression by binding lysine. Genes Dev. 2003, 17, 2688–2697. [Google Scholar] [CrossRef] [Green Version]
  9. Caron, M.-P.; Bastet, L.; Lussier, A.; Simoneau-Roy, M.; Massé, E.; Lafontaine, D.A. Dual-acting riboswitch control of translation initiation and mRNA decay. Proc. Natl. Acad. Sci. USA 2012, 109, E3444–E3453. [Google Scholar] [CrossRef] [Green Version]
  10. Mandal, M.; Breaker, R.R. Adenine riboswitches and gene activation by disruption of a transcription terminator. Nat. Struct. Mol. Biol. 2003, 11, 29–35. [Google Scholar] [CrossRef]
  11. Zhou, L.; Ren, J.; Li, Z.; Nie, J.; Wang, C.; Zeng, A.-P. Characterization and engineering of a Clostridium glycine rboswitch and its use to control a novel metabolic pathway for 5-aminolevulinic acid production in Escherichia coli. ACS Synth. Biol. 2019, 8, 2327–2335. [Google Scholar] [CrossRef]
  12. Zhou, L.-B.; Zeng, A.-P. Exploring lysine riboswitch for metabolic flux control and improvement of l-lysine synthesis in Corynebacterium glutamicum. ACS Synth. Biol. 2014, 4, 729–734. [Google Scholar] [CrossRef] [PubMed]
  13. Boumezbeur, A.-H.; Bruer, M.; Stoecklin, G.; Mack, M. Rational engineering of transcriptional riboswitches leads to enhanced metabolite levels in Bacillus subtilis. Metab. Eng. 2020, 61, 58–68. [Google Scholar] [CrossRef]
  14. Zhou, L.-B.; Zeng, A.-P. Engineering a lysine-ON riboswitch for metabolic control of lysine production in Corynebacterium glutamicum. ACS Synth. Biol. 2015, 4, 1335–1340. [Google Scholar] [CrossRef]
  15. Cai, Y.; Xia, M.; Dong, H.; Qian, Y.; Zhang, T.; Zhu, B.; Wu, J.; Zhang, D. Engineering a vitamin B12 high-throughput screening system by riboswitch sensor in Sinorhizobium meliloti. BMC Biotechnol. 2018, 18, 27. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Jang, S.; Jang, S.; Im, D.-K.; Kang, T.J.; Oh, M.-K.; Jung, G.Y. Artificial caprolactam-specific riboswitch as an intracellular metabolite sensor. ACS Synth. Biol. 2019, 8, 1276–1283. [Google Scholar] [CrossRef]
  17. Pham, H.L.; Wong, A.; Chua, N.; Teo, W.S.; Yew, W.S.; Chang, M.W. Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-tolerant phenotypes. Nat. Commun. 2017, 8, 1–12. [Google Scholar] [CrossRef] [PubMed]
  18. Luo, Y.; Zhang, L.; Barton, K.W.; Zhao, H. Systematic identification of a panel of strong constitutive promoters from Streptomyces albus. ACS Synth. Biol. 2015, 4, 1001–1010. [Google Scholar] [CrossRef] [PubMed]
  19. Siegl, T.; Tokovenko, B.; Myronovskyi, M.; Luzhetskyy, A. Design, construction and characterisation of a synthetic promoter library for fine-tuned gene expression in actinomycetes. Metab. Eng. 2013, 19, 98–106. [Google Scholar] [CrossRef] [PubMed]
  20. Seghezzi, N.; Amar, P.; Koebmann, B.; Jensen, P.R.; Virolle, M.-J. The construction of a library of synthetic promoters revealed some specific features of strong Streptomyces promoters. Appl. Microbiol. Biotechnol. 2011, 90, 615–623. [Google Scholar] [CrossRef]
  21. Liu, D.; Mao, Z.; Guo, J.; Wei, L.; Ma, H.; Tang, Y.-J.; Chen, T.; Wang, Z.; Zhao, X. Construction, model-based analysis, and characterization of a promoter library for fine-tuned gene expression in Bacillus subtilis. ACS Synth. Biol. 2018, 7, 1785–1797. [Google Scholar] [CrossRef] [PubMed]
  22. Li, S.; Wang, J.; Li, X.; Yin, S.; Wang, W.; Yang, K. Genome-wide identification and evaluation of constitutive promoters in streptomycetes. Microb. Cell Factories 2015, 14, 172. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Zhou, S.; Ding, R.; Chen, J.; Du, G.; Li, H.; Zhou, J. Obtaining a panel of cascade promoter-5′-UTR complexes in Escherichia coli. ACS Synth. Biol. 2017, 6, 1065–1075. [Google Scholar] [CrossRef]
  24. Babski, J.; Haas, K.A.; Näther-Schindler, D.; Pfeiffer, F.; Förstner, K.U.; Hammelmann, M.; Hilker, R.; Becker, A.; Sharma, C.M.; Marchfelder, A.; et al. Genome-wide identification of transcriptional start sites in the haloarchaeon Haloferax volcanii based on differential RNA-Seq (dRNA-Seq). BMC Genom. 2016, 17, 1–19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Yang, Y.; Shen, W.; Huang, J.; Li, R.; Xiao, Y.; Wei, H.; Chou, Y.-C.; Zhang, M.; Himmel, M.E.; Chen, S.; et al. Prediction and characterization of promoters and ribosomal binding sites of Zymomonas mobilis in system biology era. Biotechnol. Biofuels 2019, 12, 1–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Liu, X.; Yang, H.; Zheng, J.; Ye, Y.; Pan, L. Identification of strong promoters based on the transcriptome of Bacillus licheniformis. Biotechnol. Lett. 2017, 39, 873–881. [Google Scholar] [CrossRef] [PubMed]
  27. Brautaset, T.; Jakobsen, Ø.M.; Josefsen, K.D.; Flickinger, M.C.; Ellingsen, T.E. Bacillus methanolicus: A candidate for industrial production of amino acids from methanol at 50 °C. Appl. Microbiol. Biotechnol. 2007, 74, 22–34. [Google Scholar] [CrossRef]
  28. Heggeset, T.M.B.; Krog, A.; Balzer, S.; Wentzel, A.; Ellingsen, T.E.; Brautaset, T. Genome sequence of thermotolerant Bacillus methanolicus: Features and regulation related to methylotrophy and production of l-lysine and l-glutamate from methanol. Appl. Environ. Microbiol. 2012, 78, 5170–5181. [Google Scholar] [CrossRef] [Green Version]
  29. Brautaset, T.; Williams, M.D.; Dillingham, R.D.; Kaufmann, C.; Bennaars, A.; Crabbe, E.; Flickinger, M.C. Role of the Bacillus methanolicus citrate synthase II gene, citY, in regulating the secretion of glutamate in l-lysine-secreting mutants. Appl. Environ. Microbiol. 2003, 69, 3986–3995. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Wendisch, V.F. Metabolic engineering advances and prospects for amino acid production. Metab. Eng. 2020, 58, 17–34. [Google Scholar] [CrossRef]
  31. Ochsner, A.M.; Müller, J.E.; Mora, C.A.; Vorholt, J.A. In vitro activation of NAD-dependent alcohol dehydrogenases by Nudix hydrolases is more widespread than assumed. FEBS Lett. 2014, 588, 2993–2999. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Irla, M.; Neshat, A.; Brautaset, T.; Rückert, C.; Kalinowski, J.; Wendisch, V.F. Transcriptome analysis of thermophilic methylotrophic Bacillus methanolicus MGA3 using RNA-sequencing provides detailed insights into its previously uncharted transcriptional landscape. BMC Genom. 2015, 16, 73. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Müller, J.E.N.; Litsanov, B.; Bortfeld-Miller, M.; Trachsel, C.; Grossmann, J.; Brautaset, T.; Vorholt, J.A. Proteomic analysis of the thermophilic methylotroph Bacillus methanolicus MGA. Proteomics 2014, 14, 725–737. [Google Scholar] [CrossRef] [PubMed]
  34. Carnicer, M.; Vieira, G.; Brautaset, T.; Portais, J.-C.; Heux, S. Quantitative metabolomics of the thermophilic methylotroph Bacillus methanolicus. Microb. Cell Factories 2016, 15, 1–12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Delépine, B.; Gil López, M.; Carnicer, M.; Vicente, C.M.; Wendisch, V.F.; Heux, S. Charting the metabolic landscape of the facultative methylotroph Bacillus methanolicus. mSystems 2020, 5, e00745-20. [Google Scholar] [CrossRef]
  36. Irla, M.; Heggeset, T.M.B.; Nærdal, I.; Paul, L.; Haugen, T.; Le, S.B.; Brautaset, T.; Wendisch, V.F. Genome-based genetic tool development for Bacillus methanolicus: Theta- and rolling circle-replicating plasmids for inducible gene expression and application to methanol-based cadaverine production. Front. Microbiol. 2016, 7, 1481. [Google Scholar] [CrossRef] [Green Version]
  37. Rodionov, D.A.; Vitreschak, A.G.; Mironov, A.A.; Gelfand, M.S. Regulation of lysine biosynthesis and transport genes in bacteria: Yet another RNA riboswitch? Nucleic Acids Res. 2003, 31, 6748–6757. [Google Scholar] [CrossRef] [Green Version]
  38. Hilker, R.; Stadermann, K.B.; Doppmeier, D.; Kalinowski, J.; Stoye, J.; Straube, J.; Winnebald, J.; Goesmann, A. ReadXplorer—visualization and analysis of mapped sequences. Bioinformatics 2014, 30, 2247–2254. [Google Scholar] [CrossRef] [Green Version]
  39. Griffiths-Jones, S.; Bateman, A.; Marshall, M.; Khanna, A.; Eddy, S.R. Rfam: An RNA family database. Nucleic Acids Res. 2003, 31, 439–441. [Google Scholar] [CrossRef] [Green Version]
  40. Sweeney, B.A.; Hoksza, D.; Nawrocki, E.P.; Ribas, C.E.; Madeira, F.; Cannone, J.J.; Gutell, R.R.; Maddala, A.; Meade, C.; Williams, L.D.; et al. R2DT: Computational framework for template-based RNA secondary structure visualisation across non-coding RNA types. bioRxiv 2020. [Google Scholar] [CrossRef]
  41. Mortazavi, A.; Williams, B.A.; McCue, K.; Schaeffer, L.; Wold, B. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat. Methods 2008, 5, 621–628. [Google Scholar] [CrossRef] [PubMed]
  42. Wheeler, T.J.; Eddy, S.R. nhmmer: DNA homology search with profile HMMs. Bioinformatics 2013, 29, 2487–2489. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Brautaset, T.; Jakobsen, Ø.M.; Degnes, K.F.; Netzer, R.; Naerdal, I.; Krog, A.; Dillingham, R.; Flickinger, M.C.; Ellingsen, T.E. Bacillus methanolicus pyruvate carboxylase and homoserine dehydrogenase I and II and their roles for l-lysine production from methanol at 50 °C. Appl. Microbiol. Biotechnol. 2010, 87, 951–964. [Google Scholar] [CrossRef]
  44. Nærdal, I.; Netzer, R.; Ellingsen, T.E.; Brautaset, T. Analysis and manipulation of aspartate pathway genes for l-lysine overproduction from methanol by Bacillus methanolicus. Appl. Environ. Microbiol. 2011, 77, 6020–6026. [Google Scholar] [CrossRef] [Green Version]
  45. Nærdal, I.; Pfeifenschneider, J.; Brautaset, T.; Wendisch, V.F. Methanol-based cadaverine production by genetically engineered Bacillus methanolicus strains. Microb. Biotechnol. 2015, 8, 342–350. [Google Scholar] [CrossRef]
  46. Brautaset, T.; Øyvind, M.J.M.; Flickinger, M.C.; Valla, S.; Ellingsen, T.E. Plasmid-dependent methylotrophy in thermotolerant Bacillus methanolicus. J. Bacteriol. 2004, 186, 1229–1238. [Google Scholar] [CrossRef] [Green Version]
  47. Priyakumar, U.D.; MacKerell, A.D. Role of the adenine ligand on the stabilization of the secondary and tertiary interactions in the adenine riboswitch. J. Mol. Biol. 2010, 396, 1422–1438. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Nærdal, I.; Netzer, R.; Irla, M.; Krog, A.; Heggeset, T.M.B.; Wendisch, V.F.; Brautaset, T. l-Lysine production by Bacillus methanolicus: Genome-based mutational analysis and l-lysine secretion engineering. J. Biotechnol. 2017, 244, 25–33. [Google Scholar] [CrossRef]
  49. Tempest, D.W.; Meers, J.L.; Brown, C.M. Influence of environment on the content and composition of microbial free amino acid pools. J. Gen. Microbiol. 1970, 64, 171–185. [Google Scholar] [CrossRef] [Green Version]
  50. Arfman, N.; Watling, E.M.; Clement, W.; Van Oosterwijk, R.J.; De Vries, G.E.; Harder, W.; Attwood, M.M.; Dijkhuizen, L. Methanol metabolism in thermotolerant methylotrophic Bacillus strains involving a novel catabolic NAD-dependent methanol dehydrogenase as a key enzyme. Arch. Microbiol. 1989, 152, 280–288. [Google Scholar] [CrossRef] [Green Version]
  51. Yasueda, H.; Kawahara, Y.; Sugimoto, S.-I. Bacillus subtilis yckG and yckF encode two key enzymes of the ribulose monophosphate pathway used by methylotrophs, and yckH is required for their expression. J. Bacteriol. 1999, 181, 7154–7160. [Google Scholar] [CrossRef] [Green Version]
  52. Schendel, F.J.; Bremmon, C.E.; Flickinger, M.C.; Guettler, M.; Hanson, R.S. l-Lysine production at 50 degrees C by mutants of a newly isolated and characterized methylotrophic Bacillus sp. Appl. Environ. Microbiol. 1990, 56, 963–970. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Frieda, K.L.; Block, S.M. Direct observation of cotranscriptional folding in an adenine riboswitch. Science 2012, 338, 397–400. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Marcano-Velázquez, J.G.; Batey, R.T. Structure-guided mutational analysis of gene regulation by the Bacillus subtilis pbuE adenine-responsive riboswitch in a cellular context. J. Biol. Chem. 2015, 290, 4464–4475. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Marcano-Velazquez, J.G.; Lo, J.; Nag, A.; Maness, P.-C.; Chou, K.J.; Marcano, J. Developing riboswitch-mediated gene regulatory controls in thermophilic bacteria. ACS Synth. Biol. 2019, 8, 633–640. [Google Scholar] [CrossRef] [PubMed]
  56. Irla, M.; Drejer, E.B.; Brautaset, T.; Hakvåg, S. Establishment of a functional system for recombinant production of secreted proteins at 50 °C in the thermophilic Bacillus methanolicus. Microb. Cell Factories 2020, 19, 1–16. [Google Scholar] [CrossRef] [PubMed]
  57. Saida, F.; Uzan, M.; Odaert, B.; Bontems, F. Expression of highly toxic genes in E. coli: Special strategies and genetic tools. Curr. Protein Pept. Sci. 2006, 7, 47–56. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Bowers, L.M.; LaPoint, K.; Anthony, L.; Pluciennik, A.; Filutowicz, M. Bacterial expression system with tightly regulated gene expression and plasmid copy number. Gene 2004, 340, 11–18. [Google Scholar] [CrossRef] [PubMed]
  59. Mardanov, A.V.; Strakhova, T.S.; Smagin, V.A.; Ravin, N.V. Tightly regulated, high-level expression from controlled copy number vectors based on the replicon of temperate phage N. Gene 2007, 395, 15–21. [Google Scholar] [CrossRef]
  60. Sletta, H.; Nedal, A.; Aune, T.E.V.; Hellebust, H.; Hakvåg, S.; Aune, R.; Ellingsen, T.E.; Valla, S.; Brautaset, T. Broad-host-range plasmid pJB658 can be used for industrial-level production of a secreted host-toxic single-chain antibody fragment in Escherichia coli. Appl. Environ. Microbiol. 2004, 70, 7033–7039. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Pédelacq, J.-D.; Cabantous, S.; Tran, T.; Terwilliger, T.C.; Waldo, G.S. Engineering and characterization of a superfolder green fluorescent protein. Nat. Biotechnol. 2005, 24, 79–88. [Google Scholar] [CrossRef] [PubMed]
  62. Green, R.; Rogers, E.J. Transformation of chemically competent E. coli. Methods Enzymol. 2013, 529, 329–336. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Sambrook, J.; Russell, D.W. Molecular Cloning: A Laboratory Manual, 3rd ed.; Cold Spring Laboratory Press: New York, NY, USA, 2001. [Google Scholar]
  64. Eikmanns, B.J.; Thum-Schmitz, N.; Eggeling, L.; Lüdtke, K.-U.; Sahm, H. Nucleotide sequence, expression and transcriptional analysis of the Corynebacterium glutamicum gltA gene encoding citrate synthase. Microbiology 1994, 140, 1817–1828. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Gibson, D.G.; Young, L.; Chuang, R.; Venter, J.C.; Hutchison, C.A., III; Smith, H.O. Enzymatic assembly of DNA molecules up to several hundred kilobases. Nat. Methods. 2009, 6, 343–345. [Google Scholar] [CrossRef] [PubMed]
  66. Jakobsen, Ø.M.; Benichou, A.; Flickinger, M.C.; Valla, S.; Ellingsen, T.E.; Brautaset, T. Upregulated transcription of plasmid and chromosomal ribulose monophosphate pathway genes is critical for methanol assimilation rate and methanol tolerance in the methylotrophic bacterium Bacillus methanolicus. J. Bacteriol. 2006, 188, 3063–3072. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Bertani, G. Studies on lysogenesis. I. The mode of phage liberation by lysogenic Escherichia coli. J. Bacteriol. 1951, 62, 293–300. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Haas, T.; Poetter, M.; Pfeffer, J.C.; Kroutil, W.; Skerra, A.; Lerchner, A.; Tauber, K.C.; Sattler, J.H.; Schaffer, S. Oxidation and Amination of Secondary Alcohols. U.S. Patent Application 14/237,121, 16 October 2014. [Google Scholar]
Figure 1. Transcriptional organization of putative lysine riboswitch of B. methanolicus MGA3 (A), its predicted structure (B) and predicted structure of B. subtilis-derived lysine riboswitch (C). (A) The first line (1) represents the genomic organization of the genes in the cluster, the next one (2) the mapped reads of 5′-end primary transcripts, and the last (3): the putative corresponding transcripts. The level of transcription is visualized with ReadXplorer [38] and given as absolute reads (coverage) at the corresponding genomic positions. Data are based on the previously published RNA-seq analysis [37]. (B) Predicted secondary structure of putative lysine riboswitch derived from B. methanolicus. (C) Predicted secondary structure of putative lysine riboswitch derived from B. subtilis. Both predicted structures were generated by R2DT using the lysine riboswitch template provided by Rfam [39,40].
Figure 1. Transcriptional organization of putative lysine riboswitch of B. methanolicus MGA3 (A), its predicted structure (B) and predicted structure of B. subtilis-derived lysine riboswitch (C). (A) The first line (1) represents the genomic organization of the genes in the cluster, the next one (2) the mapped reads of 5′-end primary transcripts, and the last (3): the putative corresponding transcripts. The level of transcription is visualized with ReadXplorer [38] and given as absolute reads (coverage) at the corresponding genomic positions. Data are based on the previously published RNA-seq analysis [37]. (B) Predicted secondary structure of putative lysine riboswitch derived from B. methanolicus. (C) Predicted secondary structure of putative lysine riboswitch derived from B. subtilis. Both predicted structures were generated by R2DT using the lysine riboswitch template provided by Rfam [39,40].
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Figure 2. pTH1mp-sfGFP-based system for characterization of novel regulatory elements. Promoter Pmdh controls sfGFP expression. For evaluation of lysine riboswitch, the 5′ UTR sequence of Pmdh is replaced with 5′ UTR sequence that contains putative riboswitch.
Figure 2. pTH1mp-sfGFP-based system for characterization of novel regulatory elements. Promoter Pmdh controls sfGFP expression. For evaluation of lysine riboswitch, the 5′ UTR sequence of Pmdh is replaced with 5′ UTR sequence that contains putative riboswitch.
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Figure 3. Relative mean sfGFP fluorescence in pellets of B. methanolicus, B. subtilis, or E. coli recombinant strains carrying empty vector (pTH1mp), a vector with sfGFP gene under the control of the Pmdh (pTH1mp-sfGFP) or a vector with sfGFP gene under the control of the Pmdh and lysine riboswitch (pTH1mplrBM-sfGFP). OD600 normalized fluorescence from strains carrying the empty vector and vector pTH1mp-sfGFP are used as controls. OD600 normalized sfGFP fluorescence from cultures without (solid bars) or with 20 mM lysine added (dotted bar) is shown. Relative fluorescence was calculated for each strain separately in relation to OD600 normalized fluorescence of strain carrying pTH1mp-sfGFP plasmid cultivated in medium supplemented with 20 mM l-lysine. The standard deviation of technical triplicates is shown. The raw data are available in supplementary information (Supplementary Table S2).
Figure 3. Relative mean sfGFP fluorescence in pellets of B. methanolicus, B. subtilis, or E. coli recombinant strains carrying empty vector (pTH1mp), a vector with sfGFP gene under the control of the Pmdh (pTH1mp-sfGFP) or a vector with sfGFP gene under the control of the Pmdh and lysine riboswitch (pTH1mplrBM-sfGFP). OD600 normalized fluorescence from strains carrying the empty vector and vector pTH1mp-sfGFP are used as controls. OD600 normalized sfGFP fluorescence from cultures without (solid bars) or with 20 mM lysine added (dotted bar) is shown. Relative fluorescence was calculated for each strain separately in relation to OD600 normalized fluorescence of strain carrying pTH1mp-sfGFP plasmid cultivated in medium supplemented with 20 mM l-lysine. The standard deviation of technical triplicates is shown. The raw data are available in supplementary information (Supplementary Table S2).
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Figure 4. Effect of changes in concentrations of added l-lysine on OD600 normalized sfGFP fluorescence in pellets of recombinant strain B. methanolicus MGA3 (pTH1mplrBM-sfGFP). Mean sfGFP fluorescence in pellets of B. methanolicus recombinant strain carrying a vector with the sfGFP gene under the control of the Pmdh and lysine riboswitch (pTH1mplrBM-sfGFP) is presented. The standard deviation of technical triplicates is shown.
Figure 4. Effect of changes in concentrations of added l-lysine on OD600 normalized sfGFP fluorescence in pellets of recombinant strain B. methanolicus MGA3 (pTH1mplrBM-sfGFP). Mean sfGFP fluorescence in pellets of B. methanolicus recombinant strain carrying a vector with the sfGFP gene under the control of the Pmdh and lysine riboswitch (pTH1mplrBM-sfGFP) is presented. The standard deviation of technical triplicates is shown.
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Figure 5. Effect of l-lysine production on activity of B. methanolicus-derived lysine riboswitch in wild-type B. methanolicus strain MGA3 and lysine overproducer strain M168-20. OD600 normalized mean sfGFP fluorescence in pellets of B. methanolicus recombinant strains is presented. Strains carrying the empty vector (pTH1mp) or a plasmid without the lysine riboswitch (pTH1mp-sfGFP) are used as controls. The strains carrying a vector pTH1mplrBM-sfGFP with sfGFP gene under the control of the Pmdh and lysine riboswitch are used as experimental strains. Fluorescence without (solid bars) and with (dotted bars) supplementation of l-lysine is depicted. The standard deviation of technical triplicates is shown.
Figure 5. Effect of l-lysine production on activity of B. methanolicus-derived lysine riboswitch in wild-type B. methanolicus strain MGA3 and lysine overproducer strain M168-20. OD600 normalized mean sfGFP fluorescence in pellets of B. methanolicus recombinant strains is presented. Strains carrying the empty vector (pTH1mp) or a plasmid without the lysine riboswitch (pTH1mp-sfGFP) are used as controls. The strains carrying a vector pTH1mplrBM-sfGFP with sfGFP gene under the control of the Pmdh and lysine riboswitch are used as experimental strains. Fluorescence without (solid bars) and with (dotted bars) supplementation of l-lysine is depicted. The standard deviation of technical triplicates is shown.
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Figure 6. Experimental validation of strength of promoters predicted based on RNA-seq data. A set of putative promoters from B. methanolicus was cloned upstream of sfGFP gene. Mean OD600 normalized sfGFP fluorescence in pellets of recombinant strains of B. methanolicus, carrying sfGFP gene under control of different putative promoters is presented. Fluorescence from strains carrying either the empty vector (pTH1mp) or the vector pTH1mp-sfGFP with sfGFP under control of Pmdh are used as control. The standard deviation of technical triplicates is shown.
Figure 6. Experimental validation of strength of promoters predicted based on RNA-seq data. A set of putative promoters from B. methanolicus was cloned upstream of sfGFP gene. Mean OD600 normalized sfGFP fluorescence in pellets of recombinant strains of B. methanolicus, carrying sfGFP gene under control of different putative promoters is presented. Fluorescence from strains carrying either the empty vector (pTH1mp) or the vector pTH1mp-sfGFP with sfGFP under control of Pmdh are used as control. The standard deviation of technical triplicates is shown.
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Figure 7. Influence of promoter strength on activity of lysine riboswitch. Figure presents OD600 normalized mean sfGFP fluorescence in pellets of B. methanolicus recombinant strains. B. methanolicus recombinant strains carry vector with sfGFP gene under control of different promoters. Fluorescence from strains carrying the empty vector (pTH1mp), or the vector with sfGFP gene under control of Pmdh and lysine riboswitch (pTH1mplrBM-sfGFP) are used as control. Fluorescence from cultures with (dotted bars) or without (solid bars) 20 mM l-lysine added is shown. The standard deviation of technical triplicates is shown.
Figure 7. Influence of promoter strength on activity of lysine riboswitch. Figure presents OD600 normalized mean sfGFP fluorescence in pellets of B. methanolicus recombinant strains. B. methanolicus recombinant strains carry vector with sfGFP gene under control of different promoters. Fluorescence from strains carrying the empty vector (pTH1mp), or the vector with sfGFP gene under control of Pmdh and lysine riboswitch (pTH1mplrBM-sfGFP) are used as control. Fluorescence from cultures with (dotted bars) or without (solid bars) 20 mM l-lysine added is shown. The standard deviation of technical triplicates is shown.
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Figure 8. Activity of B. subtlis-derived pbuE riboswitch in B. methanolicus. Figure presents OD600 normalized mean sfGFP fluorescence in pellets of B. methanolicus recombinant strains: B. methanolicus recombinant strains carry vector with sfGFP gene under control of Pmdh and pbuE riboswitch (pTH1mpApr-sfGFP), vector with sfGFP gene under control of Pmdh and modified pbuE riboswitch (pTH1mpApr(P1 = 10)-sfGFP), vector with sfGFP gene under control of Phps-phi and pbuE riboswitch (pTH1p01Apr-sfGFP). Fluorescence from strains carrying the empty vector (pTH1mp) or a vector with the sfGFP gene under control of Pmdh (pTH1mp-sfGFP) are used as control. Fluorescence from cultures with (dotted bars) or without (solid bars) 1 mM 2-aminopurine added is shown. The standard deviation of technical triplicates is shown.
Figure 8. Activity of B. subtlis-derived pbuE riboswitch in B. methanolicus. Figure presents OD600 normalized mean sfGFP fluorescence in pellets of B. methanolicus recombinant strains: B. methanolicus recombinant strains carry vector with sfGFP gene under control of Pmdh and pbuE riboswitch (pTH1mpApr-sfGFP), vector with sfGFP gene under control of Pmdh and modified pbuE riboswitch (pTH1mpApr(P1 = 10)-sfGFP), vector with sfGFP gene under control of Phps-phi and pbuE riboswitch (pTH1p01Apr-sfGFP). Fluorescence from strains carrying the empty vector (pTH1mp) or a vector with the sfGFP gene under control of Pmdh (pTH1mp-sfGFP) are used as control. Fluorescence from cultures with (dotted bars) or without (solid bars) 1 mM 2-aminopurine added is shown. The standard deviation of technical triplicates is shown.
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Table 1. List of promoters chosen for characterization. The list contains the promoter designation used in this study, locus tag of the gene controlled by the promoter, the protein encoded by the gene and the transcript abundancies for the chosen promoters in the LogRPKM unit which normalizes the data per reads per kilobase of coding DNA sequence (CDS) per million mapped reads (RPKM) [41].
Table 1. List of promoters chosen for characterization. The list contains the promoter designation used in this study, locus tag of the gene controlled by the promoter, the protein encoded by the gene and the transcript abundancies for the chosen promoters in the LogRPKM unit which normalizes the data per reads per kilobase of coding DNA sequence (CDS) per million mapped reads (RPKM) [41].
Promoter DesignationLocus TagEncoded ProteinLogRPKM
p01 (Phps-phi)BMMGA3_06845- BMMGA3_068403-Hexulose-6-phosphate synthase and 3-hexulose-6-phosphate isomerase12307.54
p04BMMGA3_16050Putative sugar phosphate isomerase, RpiB3472.63
p05BMMGA3_01940Glutamate synthase, large subunit, GltA, small subunit, GltB1779.97
p11BMMGA3_14565NH3-dependent NAD+ synthetase, NadE1598.52
p12BMMGA3_10275Dihydroxy-acid dehydratase, IlvD758.16
p15BMMGA3_16310Pyridoxine kinase, PdxK231.45
p17BMMGA3_11740Hypothetical protein160.00
p18BMMGA3_02750d-Isomer specific 2-hydroxyacid dehydrogenase NAD-binding protein107.14
p19BMMGA3_09580Putative membrane protein66.73
p20BMMGA3_09845Hypothetical protein39.59
Table 2. Bacterial strains and plasmids used in this study.
Table 2. Bacterial strains and plasmids used in this study.
Strain NameRelevant CharacteristicsReference
E. coli DH5αGeneral cloning host, F-thi-1 endA1 hsdR17(r-,m-) supE44 _lacU169 (_80lacZ_M15) recA1 gyrA96 relA1Stratagene
E. coli MG1655Wild-type strain; F- λ- ilvG- rfb-50 rph-1ATCC 47076
B. methanolicus MGA3Wild-type strainATCC 53907
B. methanolicus M168-201st generation S-(2-aminoethyl) cysteine-resistant mutant of MGA3; l-lysine overproducer[43]
B. subtilis 168Wild-type strain ATCC 23857
Plasmid NameRelevant CharacteristicsReference
pTH1mpCmR; derivative of pTH1mp-lysC for gene expression under control of the mdh promoter. The lysC gene was replaced with multiple cloning site. [36]
sfGFP-pBAD AmR; pBAD/His derivative for expression of sfGFP Addgene # 54519 [61]
pTH1mp-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the mdh promoter This study
pTH1mplrBM-sfGFPCmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the mdh promoter and B. methanolicus-derived lysine riboswitchThis study
pTH1p04-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p04 (Table 1)This study
pTH1p05-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p05 (Table 1)This study
pTH1p11-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p11 (Table 1)This study
pTH1p12-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p12 (Table 1)This study
pTH1p15-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p15 (Table 1)This study
pTH1p17-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p17 (Table 1)This study
pTH1p18-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p18 (Table 1)This study
pTH1p19-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p19 (Table 1)This study
pTH1p20-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p20 (Table 1)This study
pTH1p01lrBM-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p01 (Table 1) and B. methanolicus-derived lysine riboswitchThis study
pTH1p05lrBM-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p05 (Table 1) and B. methanolicus-derived lysine riboswitchThis study
pTH1p12lrBM-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p12 (Table 1) and B. methanolicus derived-lysine riboswitchThis study
pTH1p18lrBM-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p18 (Table 1) and B. methanolicus-derived lysine riboswitchThis study
pTH1mpApr-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the mdh promoter and B. subtilis-derived pbuE riboswitchThis study
pTH1mpApr(P1 = 10)-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the mdh promoter and modified B. subtilis-derived pbuE riboswitchThis study
pTH1p01Apr-sfGFP CmR; pTH1mp derivative for expression of sfGFP from sfGFP-pBAD under control of the promoter p01 (Table 1) and B. subtilis-derived pbuE riboswitchThis study
Table 3. List of restriction enzymes used for linearization of vector backbones and primers for amplification of inserts used in construction of plasmids.
Table 3. List of restriction enzymes used for linearization of vector backbones and primers for amplification of inserts used in construction of plasmids.
Plasmid NameVector Backbone and Method of LinearizationInsert and Primers Used for Amplification
pTH1mp-sfGFPpTH1mp digested with XbaI and AflIIIsfGFP gene PCR-amplified with sfGFP-pTH1mp_FW and sfGFP-pTH1mp_RW
pTH1mplrBM-sfGFPpTHmp-sfGFP PCR-amplified with PSGF and PSGRLysine riboswitch derived from B. methanolicus PCR-amplified with LRIF and LRIR
pTH1p04-sfGFP pTHmp-sfGFP PCR-amplified with PROM01 and PROM02Promoter p04 PCR-amplified with PROM09 and PROM10
pTH1p05-sfGFP pTHmp-sfGFP PCR-amplified with PROM01 and PROM02Promoter p05 PCR-amplified with PROM11 and PROM12
pTH1p11-sfGFP pTHmp-sfGFP PCR-amplified with PROM01 and PROM02Promoter p11 PCR-amplified with PROM23 and PROM24
pTH1p12-sfGFP pTHmp-sfGFP PCR-amplified with PROM01 and PROM02Promoter p12 PCR-amplified with PROM25 and PROM26
pTH1p15-sfGFP pTHmp-sfGFP PCR-amplified with PROM01 and PROM02Promoter p15 PCR-amplified with PROM31 and PROM32
pTH1p17-sfGFP pTHmp-sfGFP PCR-amplified with PROM01 and PROM02Promoter p17 PCR-amplified with PROM35 and PROM36
pTH1p18-sfGFP pTHmp-sfGFP PCR-amplified with PROM01 and PROM02Promoter p18 PCR-amplified with PROM37 and PROM38
pTH1p19-sfGFP pTHmp-sfGFP PCR-amplified with PROM01 and PROM02Promoter p19 PCR-amplified with PROM39 and PROM40
pTH1p20-sfGFP pTHmp-sfGFP PCR-amplified with PROM01 and PROM02Promoter p20 PCR-amplified with PROM41 and PROM42
pTH1p01lrBM-sfGFP pTHmplrBM-sfGFP PCR-amplified with LR11 and PROM02Promoter p01 PCR-amplified with PROM03 and LR12
pTH1p05lrBM-sfGFP pTHmplrBM-sfGFP PCR-amplified with LR11 and PROM02Promoter p05 PCR-amplified with PROM11 and LR20
pTH1p12lrBM-sfGFP pTHmplrBM-sfGFP PCR-amplified with LR11 and PROM02Promoter p12 PCR-amplified with PROM25 and LR14
pTH1p18lrBM-sfGFP pTHmplrBM-sfGFP PCR-amplified with LR11 and PROM02Promoter p18 PCR-amplified with PROM37 and LR15
pTH1mpApr-sfGFP pTH1mp-sfGFP PCR-amplified with PGF2 and PSGRB. subtilis-derived pbuE riboswitch amplified with APR01 and APR02
pTH1mpApr(P1 = 10)-sfGFP pTH1mpApr-sfGFP PCR-amplified in site directed mutagenesis approach with APR05 and APR06
pTH1p01Apr-sfGFP pTH1mp-sfGFP PCR-amplified with PROM01 and PROM02Promoter p01 PCR-amplified with PROM03 and APR03; B. subtilis-derived pbuE riboswitch amplified with APR04 and APR02
Table 4. Linear elution profile of HPLC method used for analysis of l-lysine concertation. A is the elution buffer (50 mM Na-acetate pH = 4.2) and B is an organic solvent (acetonitrile).
Table 4. Linear elution profile of HPLC method used for analysis of l-lysine concertation. A is the elution buffer (50 mM Na-acetate pH = 4.2) and B is an organic solvent (acetonitrile).
Time (min)Total Flow%A%B
1.362.038.0
51.362.038.0
121.343.057.0
141.324.076.0
151.343.057.0
181.362038.0
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Irla, M.; Hakvåg, S.; Brautaset, T. Developing a Riboswitch-Mediated Regulatory System for Metabolic Flux Control in Thermophilic Bacillus methanolicus. Int. J. Mol. Sci. 2021, 22, 4686. https://doi.org/10.3390/ijms22094686

AMA Style

Irla M, Hakvåg S, Brautaset T. Developing a Riboswitch-Mediated Regulatory System for Metabolic Flux Control in Thermophilic Bacillus methanolicus. International Journal of Molecular Sciences. 2021; 22(9):4686. https://doi.org/10.3390/ijms22094686

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Irla, Marta, Sigrid Hakvåg, and Trygve Brautaset. 2021. "Developing a Riboswitch-Mediated Regulatory System for Metabolic Flux Control in Thermophilic Bacillus methanolicus" International Journal of Molecular Sciences 22, no. 9: 4686. https://doi.org/10.3390/ijms22094686

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