A protein-dependent riboswitch controlling ptsGHI operon expression in Bacillus subtilis: RNA structure rather than sequence provides interaction specificity

A New Mechanism of Carbon Metabolism and Acetic Acid Balance Regulated by CcpA

Catabolite control protein A (CcpA) is a critical regulator in Gram-positive bacteria that orchestrates carbon metabolism by coordinating the utilization of different carbon sources. Although it has been widely proved that CcpA helps prioritize the utilization of glucose over other carbon sources, this global regulator's precise mechanism of action remains unclear. In this study, a mutant Bacillus licheniformis deleted for CcpA was constructed. Cell growth, carbon utilization, metabolites and the transcription of key enzymes of the mutant strain were compared with that of the wild-type one. It was found that CcpA is involved in the regulation of glucose concentration metabolism in Bacillus. At the same time, CcpA regulates glucose metabolism by inhibiting acetic acid synthesis and pentose phosphate pathway key gene zwF. The conversion rate of acetic acid is increased by about 3.5 times after ccpA is deleted. The present study provides a new mechanism of carbon metabolism and acetic acid balance regulated by CcpA. On the one hand, this work deepens the understanding of the regulatory function of CcpA and provides a new view on the regulation of glucose metabolism. On the other hand, it is helpful to the transformation of B. licheniformis chassis microorganisms.

Lipid membranes modulate the activity of RNA through sequence-dependent interactions

RNA is a ubiquitous biomolecule that can serve as both catalyst and information carrier. Understanding how RNA bioactivity is controlled is crucial for elucidating its physiological roles and potential applications in synthetic biology. Here, we show that lipid membranes can act as RNA organization platforms, introducing a mechanism for riboregulation. The activity of R3C ribozyme can be modified by the presence of lipid membranes, with direct RNA-lipid interactions dependent on RNA nucleotide content, base pairing, and length. In particular, the presence of guanine in short RNAs is crucial for RNA-lipid interactions, and G-quadruplex formation further promotes lipid binding. Lastly, by artificially modifying the R3C substrate sequence to enhance membrane binding, we generated a lipid-sensitive ribozyme reaction with riboswitch-like behavior. These findings introduce RNA-lipid interactions as a tool for developing synthetic riboswitches and RNA-based lipid biosensors and bear significant implications for RNA world scenarios for the origin of life.

Moonlighting in Bacillus subtilis: The Small Proteins SR1P and SR7P Regulate the Moonlighting Activity of Glyceraldehyde 3-Phosphate Dehydrogenase A (GapA) and Enolase in RNA Degradation

Moonlighting proteins are proteins with more than one function. During the past 25 years, they have been found to be rather widespread in bacteria. In Bacillus subtilis, moonlighting has been disclosed to occur via DNA, protein or RNA binding or protein phosphorylation. In addition, two metabolic enzymes, enolase and phosphofructokinase, were localized in the degradosome-like network (DLN) where they were thought to be scaffolding components. The DLN comprises the major endoribonuclease RNase Y, 3'-5' exoribonuclease PnpA, endo/5'-3' exoribonucleases J1/J2 and helicase CshA. We have ascertained that the metabolic enzyme GapA is an additional component of the DLN. In addition, we identified two small proteins that bind scaffolding components of the degradosome: SR1P encoded by the dual-function sRNA SR1 binds GapA, promotes the GapA-RNase J1 interaction and increases the RNase J1 activity. SR7P encoded by the dual-function antisense RNA SR7 binds to enolase thereby enhancing the enzymatic activity of enolase bound RNase Y. We discuss the role of small proteins in modulating the activity of two moonlighting proteins.

The computational approaches of lncRNA identification based on coding potential: Status quo and challenges

Long noncoding RNAs (lncRNAs) make up a large proportion of transcriptome in eukaryotes, and have been revealed with many regulatory functions in various biological processes. When studying lncRNAs, the first step is to accurately and specifically distinguish them from the colossal transcriptome data with complicated composition, which contains mRNAs, lncRNAs, small RNAs and their primary transcripts. In the face of such a huge and progressively expanding transcriptome data, the in-silico approaches provide a practicable scheme for effectively and rapidly filtering out lncRNA targets, using machine learning and probability statistics. In this review, we mainly discussed the characteristics of algorithms and features on currently developed approaches. We also outlined the traits of some state-of-the-art tools for ease of operation. Finally, we pointed out the underlying challenges in lncRNA identification with the advent of new experimental data.

Molecular parts and genetic circuits for metabolic engineering of microorganisms

Microbial conversion of biomass into value-added biochemicals is a highly sustainable process compared to petroleum-based production. In this regard, microorganisms have been engineered via simple overexpression or deletion of metabolic genes to facilitate the production. However, the producer microorganisms require complex regulatory circuits to maximize productivity and performance. To address this issue, diverse genetic circuits have been developed that allow cells to minimize their metabolic burden, overcome metabolic imbalances and respond to a dynamically changing environment. In this review, we briefly explain the basic strategy for constructing genetic circuits by assembling molecular parts such as input, operation and output modules. Next, we describe recent applications of the circuits in the metabolic engineering of microorganisms to improve biochemical production. Beyond those achievements, genetic circuits will facilitate more innovative approaches to future strain development through mining and engineering new genetic elements and improving the complexity of genetic circuit design.

Trigger Enzymes: Coordination of Metabolism and Virulence Gene Expression

Virulence gene expression serves two main functions, growth in/on the host, and the acquisition of nutrients. Therefore, it is obvious that nutrient availability is important to control expression of virulence genes. In any cell, enzymes are the components that are best informed about the availability of their respective substrates and products. It is thus not surprising that bacteria have evolved a variety of strategies to employ this information in the control of gene expression. Enzymes that have a second (so-called moonlighting) function in the regulation of gene expression are collectively referred to as trigger enzymes. Trigger enzymes may have a second activity as a direct regulatory protein that can bind specific DNA or RNA targets under particular conditions or they may affect the activity of transcription factors by covalent modification or direct protein-protein interaction. In this chapter, we provide an overview on these mechanisms and discuss the relevance of trigger enzymes for virulence gene expression in bacterial pathogens.

Towards a cell factory for vitamin B12 production in Bacillus megaterium: bypassing of the cobalamin riboswitch control elements

Bacillus megaterium is a bacterium that has been used in the past for the industrial production of vitamin B12 (cobalamin), the anti-pernicious anaemia factor. Cobalamin is a modified tetrapyrrole with a cobalt ion coordinated within its macrocycle. More recently, B. megaterium has been developed as a host for the high-yield production of recombinant proteins using a xylose inducible promoter system. Herein, we revisit cobalamin production in B. megaterium DSM319. We have investigated the importance of cobalt for optimum growth and cobalamin production. The cobaltochelatase (CbiX(L)) is encoded within a 14-gene cobalamin biosynthetic (cbi) operon, whose gene-products oversee the transformation of uroporphyrinogen III into adenosylcobyrinic acid a,c-diamide, a key precursor of cobalamin synthesis. The production of CbiX(L) in response to exogenous cobalt was monitored. The metal was found to stimulate cobalamin biosynthesis and decrease the levels of CbiX(L). From this we were able to show that the entire cbi operon is transcriptionally regulated by a B12-riboswitch, with a switch-off point at approximately 5 nM cobalamin. To bypass the effects of the B12-riboswitch the cbi operon was cloned without these regulatory elements. Growth of these strains on minimal media supplemented with glycerol as a carbon source resulted in significant increases in cobalamin production (up to 200 μg L(-1)). In addition, a range of partially amidated intermediates up to adenosylcobyric acid was detected. These findings outline a potential way to develop B. megaterium as a cell factory for cobalamin production using cheap raw materials.

Competitive folding of anti-terminator/terminator hairpins monitored by single molecule FRET

The control of transcription termination by RNA-binding proteins that modulate RNA-structures is an important regulatory mechanism in bacteria. LicT and SacY from Bacillus subtilis prevent the premature arrest of transcription by binding to an anti-terminator RNA hairpin that overlaps an intrinsic terminator located in the 5'-mRNA leader region of the gene to be regulated. In order to investigate the molecular determinants of this anti-termination/termination balance, we have developed a fluorescence-based nucleic acids system that mimics the competition between the LicT or SacY anti-terminator targets and the overlapping terminators. Using Förster Resonance Energy Transfer on single diffusing RNA hairpins, we could monitor directly their opening or closing state, and thus investigate the effects on this equilibrium of the binding of anti-termination proteins or terminator-mimicking oligonucleotides. We show that the anti-terminator hairpins adopt spontaneously a closed structure and that their structural dynamics is mainly governed by the length of their basal stem. The induced stability of the anti-terminator hairpins determines both the affinity and specificity of the anti-termination protein binding. Finally, we show that stabilization of the anti-terminator hairpin, by an extended basal stem or anti-termination protein binding can efficiently counteract the competing effect of the terminator-mimic.

Determinants of interaction specificity of the Bacillus subtilis GlcT antitermination protein: functionality and phosphorylation specificity depend on the arrangement of the regulatory domains

The control of several catabolic operons in bacteria by transcription antitermination is mediated by RNA-binding proteins that consist of an RNA-binding domain and two reiterated phosphotransferase system regulation domains (PRDs). The Bacillus subtilis GlcT antitermination protein regulates the expression of the ptsG gene, encoding the glucose-specific enzyme II of the phosphotransferase system. In the absence of glucose, GlcT becomes inactivated by enzyme II-dependent phosphorylation at its PRD1, whereas the phosphotransferase HPr phosphorylates PRD2. However, here we demonstrate by NMR analysis and mass spectrometry that HPr also phosphorylates PRD1 in vitro but with low efficiency. Size exclusion chromatography revealed that non-phosphorylated PRD1 forms dimers that dissociate upon phosphorylation. The effect of HPr on PRD1 was also investigated in vivo. For this purpose, we used GlcT variants with altered domain arrangements or domain deletions. Our results demonstrate that HPr can target PRD1 when this domain is placed at the C terminus of the protein. In agreement with the in vitro data, HPr exerts a negative control on PRD1. This work provides the first insights into how specificity is achieved in a regulator that contains duplicated regulatory domains with distinct dimerization properties that are controlled by phosphorylation by different phosphate donors. Moreover, the results suggest that the domain arrangement of the PRD-containing antitermination proteins is under selective pressure to ensure the proper regulatory output, i.e. transcription antitermination of the target genes specifically in the presence of the corresponding sugar.

Identification of microRNA precursors based on random forest with network-level representation method of stem-loop structure

Background

MicroRNAs (miRNAs) play a key role in regulating various biological processes such as participating in the post-transcriptional pathway and affecting the stability and/or the translation of mRNA. Current methods have extracted feature information at different levels, among which the characteristic stem-loop structure makes the greatest contribution to the prediction of putative miRNA precursor (pre-miRNA). We find that none of these features alone is capable of identifying new pre-miRNA accurately.

Results

In the present work, a pre-miRNA stem-loop secondary structure is translated to a network, which provides a novel perspective for its structural analysis. Network parameters are used to construct prediction model, achieving an area under the receiver operating curves (AUC) value of 0.956. Moreover, by repeating the same method on two independent datasets, accuracies of 0.976 and 0.913 are achieved, respectively.

Conclusions

Network parameters effectively characterize pre-miRNA secondary structure, which improves our prediction model in both prediction ability and computation efficiency. Additionally, as a complement to feature extraction methods in previous studies, these multifaceted features can reflect natural properties of miRNAs and be used for comprehensive and systematic analysis on miRNA.

Prevention of cross-talk in conserved regulatory systems: identification of specificity determinants in RNA-binding anti-termination proteins of the BglG family

Each family of signal transduction systems requires specificity determinants that link individual signals to the correct regulatory output. In Bacillus subtilis, a family of four anti-terminator proteins controls the expression of genes for the utilisation of alternative sugars. These regulatory systems contain the anti-terminator proteins and a RNA structure, the RNA anti-terminator (RAT) that is bound by the anti-terminator proteins. We have studied three of these proteins (SacT, SacY, and LicT) to understand how they can transmit a specific signal in spite of their strong structural homology. A screen for random mutations that render SacT capable to bind a RNA structure recognized by LicT only revealed a substitution (P26S) at one of the few non-conserved residues that are in contact with the RNA. We have randomly modified this position in SacT together with another non-conserved RNA-contacting residue (Q31). Surprisingly, the mutant proteins could bind all RAT structures that are present in B. subtilis. In a complementary approach, reciprocal amino acid exchanges have been introduced in LicT and SacY at non-conserved positions of the RNA-binding site. This analysis revealed the key role of an arginine side-chain for both the high affinity and specificity of LicT for its cognate RAT. Introduction of this Arg at the equivalent position of SacY (A26) increased the RNA binding in vitro but also resulted in a relaxed specificity. Altogether our results suggest that this family of anti-termination proteins has evolved to reach a compromise between RNA binding efficacy and specific interaction with individual target sequences.

An overview of RNAs with regulatory functions in gram-positive bacteria

During the last decade, RNA molecules with regulatory functions on gene expression have benefited from a renewed interest. In bacteria, recent high throughput computational and experimental approaches have led to the discovery that 10-20% of all genes code for RNAs with critical regulatory roles in metabolic, physiological and pathogenic processes. The trans-acting RNAs comprise the noncoding RNAs, RNAs with a short open reading frame and antisense RNAs. Many of these RNAs act through binding to their target mRNAs while others modulate protein activity or target DNA. The cis-acting RNAs include regulatory regions of mRNAs that can respond to various signals. These RNAs often provide the missing link between sensing changing conditions in the environment and fine-tuning the subsequent biological responses. Information on their various functions and modes of action has been well documented for gram-negative bacteria. Here, we summarize the current knowledge of regulatory RNAs in gram-positive bacteria.

Identification and classification of ncRNA molecules using graph properties

The study of non-coding RNA genes has received increased attention in recent years fuelled by accumulating evidence that larger portions of genomes than previously acknowledged are transcribed into RNA molecules of mostly unknown function, as well as the discovery of novel non-coding RNA types and functional RNA elements. Here, we demonstrate that specific properties of graphs that represent the predicted RNA secondary structure reflect functional information. We introduce a computational algorithm and an associated web-based tool (GraPPLE) for classifying non-coding RNA molecules as functional and, furthermore, into Rfam families based on their graph properties. Unlike sequence-similarity-based methods and covariance models, GraPPLE is demonstrated to be more robust with regard to increasing sequence divergence, and when combined with existing methods, leads to a significant improvement of prediction accuracy. Furthermore, graph properties identified as most informative are shown to provide an understanding as to what particular structural features render RNA molecules functional. Thus, GraPPLE may offer a valuable computational filtering tool to identify potentially interesting RNA molecules among large candidate datasets.

A stress-responsive RNA switch regulates VEGFA expression

Ligand binding to structural elements in noncoding regions of mRNA modulates gene expression1,2. Ligands such as free metabolites or other small molecules directly bind and induce conformational changes in regulatory RNA elements known as riboswitches1-4. Other types of RNA switches are activated by complexed metabolites, e.g., RNA-ligated metabolites such as aminoacyl-charged tRNA in the T-box system5, or protein-bound metabolites in the glucose- or amino acid-stimulated terminator-antiterminator systems6,7. All of these switch types are found in bacteria, fungi, and plants8-10. Here, we report an RNA switch in human vascular endothelial growth factor-A (VEGF) mRNA 3’UTR that integrates signals from interferon (IFN)-γ and hypoxia to regulate VEGF translation in myeloid cells. Analogous to riboswitches, the VEGF 3’UTR undergoes a binary conformational change in response to environmental signals. However, the VEGF 3’UTR switch is metabolite-independent, and the conformational change is dictated by mutually exclusive, stimulus-dependent binding of proteins, namely, the IFN-γ-activated inhibitor of translation (GAIT) complex11,12 and heterogenous nuclear ribonucleoprotein (hnRNP) L. We speculate the VEGF switch represents the founding member of a family of signal-mediated, protein-dependent RNA switches that evolved to regulate gene expression in multicellular animals where precise integration of disparate inputs may be more important than rapidity of response.

An in silico analysis of T-box regulated genes and T-box evolution in prokaryotes, with emphasis on prediction of substrate specificity of transporters

BACKGROUND

T-box anti-termination is an elegant and sensitive mechanism by which many bacteria maintain constant levels of amino acid-charged tRNAs. The amino acid specificity of the regulatory element is related to a so-called specifier codon and can in principle be used to guide the functional annotation of the genes controlled via the T-box anti-termination mechanism.

RESULTS

Hidden Markov Models were defined to search the T-box regulatory element and were applied to all completed prokaryotic genomes. The vast majority of the genes found downstream of the retrieved elements encoded functionalities related to transport and synthesis of amino acids and the charging of tRNA. This is completely in line with findings reported in literature and with the proposed biological role of the regulatory element. For several species, the functional annotation of a large number of genes encoding proteins involved in amino acid transport could be improved significantly on basis of the amino acid specificity of the identified T-boxes. In addition, these annotations could be extrapolated to a larger number of orthologous systems in other species. Analysis of T-box distribution confirmed that the element is restricted predominantly to species of the phylum Firmicutes. Furthermore, it appeared that the distribution was highly species specific and that in the case of amino acid transport some boxes seemed to "pop-up" only recently.

CONCLUSION

We have demonstrated that the identification of the molecular specificity of a regulatory element can be of great help in solving notoriously difficult annotation issues, e.g. by defining the substrate specificity of genes encoding amino acid transporters on basis of the amino acid specificity of the regulatory T-box. Furthermore, our analysis of the species-dependency of the occurrence of specific T-boxes indicated that these regulatory elements propagate in a semi-independent way from the genes that they control.

CcpA mutants with differential activities in Bacillus subtilis

CcpA is the master regulator for carbon catabolite regulation in Bacillus subtilis and regulates more than 300 genes by repression or activation. To revealthe effects of different functional domains of CcpA on various regulatory modes, we compared the activities of CcpA point mutants in activation (alsS, ackA) and repression (xynP, gntR). CcpA variants mutated at residues in the HPrSerP-binding region without allosteric functions are inactive. On the other hand, CcpA variants mutated at residues that change their conformation upon HPrSerP or CrhP binding regulate only ackA. Another set of mutants with alterations in the corepressor-binding region show glucose-independent regulation of xynP. The data presented here demonstrate the involvement of HPrSerP and/or CrhP in activation of ackA and alsS by CcpA. Furthermore, these data also indicate that activation and repression mediated by CcpA may utilize different conformational changes of the protein.

The DeoR-type regulator SugR represses expression of ptsG in Corynebacterium glutamicum

Corynebacterium glutamicum grows on a variety of carbohydrates and organic acids. Uptake of the preferred carbon source glucose via the phosphoenolpyruvate-dependent phosphotransferase system (PTS) is reduced during coutilization of glucose with acetate, sucrose, or fructose compared to growth on glucose as the sole carbon source. Here we show that the DeoR-type regulator SugR (NCgl1856) represses expression of ptsG, which encodes the glucose-specific PTS enzyme II. Overexpression of sugR resulted in reduced ptsG mRNA levels, decreased glucose utilization, and perturbed growth on media containing glucose. In mutants lacking sugR, expression of the ptsG'-'cat fusion was increased two- to sevenfold during growth on gluconeogenic carbon sources but remained similar during growth on glucose or other sugars. As shown by DNA microarray analysis, SugR also regulates expression of other genes, including ptsS and the putative NCgl1859-fruK-ptsF operon. Purified SugR bound to DNA regions upstream of ptsG, ptsS, and NCgl1859, and a 75-bp ptsG promoter fragment was sufficient for SugR binding. Fructose-6-phosphate interfered with binding of SugR to the ptsG promoter DNA. Thus, while during growth on gluconeogenic carbon sources SugR represses ptsG, ptsG expression is derepressed during growth on glucose or under other conditions characterized by high fructose-6-phosphate concentrations, representing one mechanism which allows C. glutamicum to adapt glucose uptake to carbon source availability.

Keeping signals straight in transcription regulation: specificity determinants for the interaction of a family of conserved bacterial RNA-protein couples

Regulatory systems often evolve by duplication of ancestral systems and subsequent specialization of the components of the novel signal transduction systems. In the Gram-positive soil bacterium Bacillus subtilis, four homologous antitermination systems control the expression of genes involved in the metabolism of glucose, sucrose and β-glucosides. Each of these systems is made up of a sensory sugar permease that does also act as phosphotransferase, an antitermination protein, and a RNA switch that is composed of two mutually exclusive structures, a RNA antiterminator (RAT) and a transcriptional terminator. We have studied the contributions of sugar specificity of the permeases, carbon catabolite repression, and protein–RAT recognition for the straightness of the signalling chains. We found that the β-glucoside permease BglP does also have a minor activity in glucose transport. However, this activity is irrelevant under physiological conditions since carbon catabolite repression in the presence of glucose prevents the synthesis of the β-glucoside permease. Reporter gene studies, in vitro RNA–protein interaction analyzes and northern blot transcript analyzes revealed that the interactions between the antiterminator proteins and their RNA targets are the major factor contributing to regulatory specificity. Both structural features in the RATs and individual bases are important specificity determinants. Our study revealed that the specificity of protein–RNA interactions, substrate specificity of the permeases as well as the general mechanism of carbon catabolite repression together allow to keep the signalling chains straight and to avoid excessive cross-talk between the systems.

Complete probabilistic analysis of RNA shapes

Background

Soon after the first algorithms for RNA folding became available, it was recognised that the prediction of only one energetically optimal structure is insufficient to achieve reliable results. An in-depth analysis of the folding space as a whole appeared necessary to deduce the structural properties of a given RNA molecule reliably. Folding space analysis comprises various methods such as suboptimal folding, computation of base pair probabilities, sampling procedures and abstract shape analysis. Common to many approaches is the idea of partitioning the folding space into classes of structures, for which certain properties can be derived.

Results

In this paper we extend the approach of abstract shape analysis. We show how to compute the accumulated probabilities of all structures that share the same shape. While this implies a complete (non-heuristic) analysis of the folding space, the computational effort depends only on the size of the shape space, which is much smaller. This approach has been integrated into the tool RNAshapes, and we apply it to various RNAs.

Conclusion

Analyses of conformational switches show the existence of two shapes with probabilities approximately 23 MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaadaWcaaqaaiabikdaYaqaaiabiodaZaaaaaa@2EA2@ vs. 13 MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaadaWcaaqaaiabigdaXaqaaiabiodaZaaaaaa@2EA0@, whereas the analysis of a microRNA precursor reveals one shape with a probability near to 1.0. Furthermore, it is shown that a shape can outperform an energetically more favourable one by achieving a higher probability. From these results, and the fact that we use a complete and exact analysis of the folding space, we conclude that this approach opens up new and promising routes for investigating and understanding RNA secondary structure.

Regulation of bacterial gene expression by riboswitches

Riboswitches are structured domains that usually reside in the noncoding regions of mRNAs, where they bind metabolites and control gene expression. Like their protein counterparts, these RNA gene control elements form highly specific binding pockets for the target metabolite and undergo allosteric changes in structure. Numerous classes of riboswitches are present in bacteria and they comprise a common and robust metabolite-sensing system.

Riboswitches and the role of noncoding RNAs in bacterial metabolic control

Microorganisms use a plethora of genetic strategies to regulate expression of their genes. In recent years there has been an increase in the discovery and characterization of riboswitches, cis-acting regulatory RNAs that function as direct receptors for intracellular metabolites. Nine classes have been uncovered that together regulate many essential biochemical pathways. Two classes, responding to either glucosamine-6-phosphate (GlcN6P) or glycine, have been found to employ novel mechanisms of genetic control. Additionally, progress has been achieved in elucidating molecular details for regulation by the other riboswitches, via X-ray crystallography and biochemical analyses of riboswitch-metabolite interactions. The complete repertoire of metabolite-sensing RNAs and extent of their usage in modern organisms remains to be determined; however, these current data assist in establishing a foundation from which to build future expectations.

Multiple-mutation reaction: a method for simultaneous introduction of multiple mutations into the glpK gene of Mycoplasma pneumoniae

In Mycoplasma pneumoniae, the UGA opal codon specifies tryptophan rather than a translation stop site. This often makes it difficult to express Mycoplasma proteins in E. coli isolates. In this work, we developed a strategy for the one-step introduction of several mutations. This method, the multiple-mutation reaction, is used to simultaneously replace nine opal codons in the M. pneumoniae glpK gene.