Conditional gene silencing of multiple genes with antisense RNAs and generation of a mutator strain of Escherichia coli

Improving the gene-regulation ability of small RNAs by scaffold engineering in Escherichia coli

Noncoding small RNAs are involved in transcriptional and post-transcriptional gene regulation of target mRNAs by modulating mRNA elongation, stability, or translational efficiency. Many natural trans-encoded small RNAs contain a scaffold that allows binding of the RNA chaperone protein Hfq for conditional gene regulation. Here, we improved the gene regulation abilities of small RNAs by directly fusing the natural Escherichia coli trans-encoded small RNA-derived scaffolds, including Hfq-binding and rho-independent transcription terminator sequences, to the 3' end of the small RNAs that mediate RNA-based gene regulation. As target small RNAs to improve their gene regulation abilities, we selected small RNAs of artificial post-transcriptional riboregulators and transcriptional attenuators. Four different small RNA scaffolds were fused to the riboregulator and attenuator-derived small RNAs. Mutations were introduced into the best small RNA scaffold to improve its gene-regulation ability further. As a result, mutations predicted to stabilize the secondary structures of the small RNA scaffolds dramatically increased its ability to regulate gene expression of both the post-transcriptional riboregulator and transcriptional attenuator systems. We believe our engineered small RNA scaffolds are applicable to other RNA regulators for improving regulatory activity, and engineered small RNA scaffolds may present a valuable strategy to regulate target gene expression strongly.

Bacterial cellular engineering by genome editing and gene silencing

Genome editing is an important technology for bacterial cellular engineering, which is commonly conducted by homologous recombination-based procedures, including gene knockout (disruption), knock-in (insertion), and allelic exchange. In addition, some new recombination-independent approaches have emerged that utilize catalytic RNAs, artificial nucleases, nucleic acid analogs, and peptide nucleic acids. Apart from these methods, which directly modify the genomic structure, an alternative approach is to conditionally modify the gene expression profile at the posttranscriptional level without altering the genomes. This is performed by expressing antisense RNAs to knock down (silence) target mRNAs in vivo. This review describes the features and recent advances on methods used in genomic engineering and silencing technologies that are advantageously used for bacterial cellular engineering.

A vector library for silencing central carbon metabolism genes with antisense RNAs in Escherichia coli

We describe here the construction of a series of 71 vectors to silence central carbon metabolism genes in Escherichia coli. The vectors inducibly express antisense RNAs called paired-terminus antisense RNAs, which have a higher silencing efficacy than ordinary antisense RNAs. By measuring mRNA amounts, measuring activities of target proteins, or observing specific phenotypes, it was confirmed that all the vectors were able to silence the expression of target genes efficiently. Using this vector set, each of the central carbon metabolism genes was silenced individually, and the accumulation of metabolites was investigated. We were able to obtain accurate information on ways to increase the production of pyruvate, an industrially valuable compound, from the silencing results. Furthermore, the experimental results of pyruvate accumulation were compared to in silico predictions, and both sets of results were consistent. Compared to the gene disruption approach, the silencing approach has an advantage in that any E. coli strain can be used and multiple gene silencing is easily possible in any combination.

Recombinant polypeptide production in E. coli: towards a rational approach to improve the yields of functional proteins

The development of complementary technologies enabled the successful production of recombinant polypeptides in bacteria and opened to biology researchers new avenues as obtaining suitable amounts of proteins necessary for their experimental work became easy, fast, and inexpensive. Nevertheless, the recombinant approach remained somehow unpredictable, since many constructs resisted to apparent production or accumulated as aggregates.

Several factors and physical/chemical conditions that could improve the accumulation of native-like protein were identified. At the same time, it was acknowledged that the outcome of most of them was erratic and that almost any protein required its own specific optimized set of conditions to achieve its correct folding. The attempt to understand the critical points specific for recombinant protein production missed the goal of setting universally useful protocols, but contributed to the increase of the rate of success by proposing always new empiric combinations.

Nevertheless, the results published in the recent literature allow for a better comprehension of some key mechanisms controlling protein production in E. coli and could enable the elaboration of rational methodologies for improving the quantitative and qualitative features of the produced polypeptides. This result will be achieved when the identification of the limiting step that impairs the accomplishment of the native folding for any single construct will become straightforward. This minireview will discuss how factors such as the expression rate, the folding machinery, and the secretion efficiency may impact the final protein yields.

Full design automation of multi-state RNA devices to program gene expression using energy-based optimization

Small RNAs (sRNAs) can operate as regulatory agents to control protein expression by interaction with the 5′ untranslated region of the mRNA. We have developed a physicochemical framework, relying on base pair interaction energies, to design multi-state sRNA devices by solving an optimization problem with an objective function accounting for the stability of the transition and final intermolecular states. Contrary to the analysis of the reaction kinetics of an ensemble of sRNAs, we solve the inverse problem of finding sequences satisfying targeted reactions. We show here that our objective function correlates well with measured riboregulatory activity of a set of mutants. This has enabled the application of the methodology for an extended design of RNA devices with specified behavior, assuming different molecular interaction models based on Watson-Crick interaction. We designed several YES, NOT, AND, and OR logic gates, including the design of combinatorial riboregulators. In sum, our de novo approach provides a new paradigm in synthetic biology to design molecular interaction mechanisms facilitating future high-throughput functional sRNA design.

Is our current knowledge of in vivo RNA-RNA interactions and thermodynamics enough to perform the unsupervised computational design of fully synthetic sequences encoding functional RNAs in living cells? Recent work gave a positive answer for the challenging problem of designing activating riboregulators. This was done by integrating theory and computation to develop a physicochemical framework for the design of regulatory RNA systems, using Watson-Crick interactions and optimization algorithms. Still, the objective function was not directly validated, preventing using with confidence the methodology for other systems. We here validate experimentally an objective function relying on free energies of RNA complex activation and formation, which allows extending the framework to produce logic devices that can be implemented to program gene expression. We demonstrate that it is possible to design increasingly sophisticated and modular functions, pointing our results out that energy-based optimization methods can perform the large combinatorial search required for RNA design.

Gene silencing in Escherichia coli using antisense RNAs expressed from doxycycline-inducible vectors

Here, we report on the construction of doxycycline (tetracycline analogue)-inducible vectors that express antisense RNAs in Escherichia coli. Using these vectors, the expression of genes of interest can be silenced conditionally. The expression of antisense RNAs from the vectors was more tightly regulated than the previously constructed isopropyl-β-D-galactopyranoside-inducible vectors. Furthermore, expression levels of antisense RNAs were enhanced by combining the doxycycline-inducible promoter with the T7 promoter-T7 RNA polymerase system; the T7 RNA polymerase gene, under control of the doxycycline-inducible promoter, was integrated into the lacZ locus of the genome without leaving any antibiotic marker. These vectors are useful for investigating gene functions or altering cell phenotypes for biotechnological and industrial applications.

SIGNIFICANCE AND IMPACT OF THE STUDY

A gene silencing method using antisense RNAs in Escherichia coli is described, which facilitates the investigation of bacterial gene function. In particular, the method is suitable for comprehensive analyses or phenotypic analyses of genes essential for growth. Here, we describe expansion of vector variations for expressing antisense RNAs, allowing choice of a vector appropriate for the target genes or experimental purpose.

Antisense RNA regulation and application in the development of novel antibiotics to combat multidrug resistant bacteria

Despite the availability of antibiotics and vaccines, infectious diseases remain one of most dangerous threats to humans and animals. The overuse and misuse of antibacterial agents have led to the emergence of multidrug resistant bacterial pathogens. Bacterial cells are often resilient enough to survive in even the most extreme environments. To do so, the organisms have evolved different mechanisms, including a variety of two-component signal transduction systems, which allow the bacteria to sense the surrounding environment and regulate gene expression in order to adapt and respond to environmental stimuli. In addition, some bacteria evolve resistance to antibacterial agents while many bacterial cells are able to acquire resistance genes from other bacterial species to enable them to survive in the presence of toxic antimicrobial agents. The crisis of antimicrobial resistance is an unremitting menace to human health and a burden on public health. The rapid increase in antimicrobial resistant organisms and limited options for development of new classes of antibiotics heighten the urgent need to develop novel potent antibacterial therapeutics in order to combat multidrug resistant infections. In this review, we introduce the regulatory mechanisms of antisense RNA and significant applications of regulated antisense RNA interference technology in early drug discovery. This includes the identification and evaluation of drug targets in vitro and in vivo, the determination of mode of action for antibiotics and new antibacterial agents, as well as the development of peptide-nucleic acid conjugates as novel antibacterials.

De novo automated design of small RNA circuits for engineering synthetic riboregulation in living cells

A grand challenge in synthetic biology is to use our current knowledge of RNA science to perform the automatic engineering of completely synthetic sequences encoding functional RNAs in living cells. We report here a fully automated design methodology and experimental validation of synthetic RNA interaction circuits working in a cellular environment. The computational algorithm, based on a physicochemical model, produces novel RNA sequences by exploring the space of possible sequences compatible with predefined structures. We tested our methodology in Escherichia coli by designing several positive riboregulators with diverse structures and interaction models, suggesting that only the energy of formation and the activation energy (free energy barrier to overcome for initiating the hybridization reaction) are sufficient criteria to engineer RNA interaction and regulation in bacteria. The designed sequences exhibit nonsignificant similarity to any known noncoding RNA sequence. Our riboregulatory devices work independently and in combination with transcription regulation to create complex logic circuits. Our results demonstrate that a computational methodology based on first-principles can be used to engineer interacting RNAs with allosteric behavior in living cells.

A new carbon catabolite repression mutation of Escherichia coli, mlc∗, and its use for producing isobutanol

Sugar derived from biomass is usually a mixture of glucose and other sugars. When mixed sugars are fed to Escherichia coli, glucose is preferentially utilized while other sugars remain unutilized. This phenomenon is known as carbon catabolite repression (CCR). To utilize mixed sugars effectively, we isolated a new E. coli mutant that is negative for CCR. The mutant strain was revealed to have a nucleotide substitution at the promoter region of mlc encoding a global transcriptional repressor for carbohydrate metabolism. The identified mutation, named mlc∗, was a promoter-up type, and the mlc∗ promoter exhibited 17-fold higher activity than the wild-type mlc promoter. Therefore, the mlc∗ mutation causes Mlc overexpression and a shortage of PtsG, which is a glucose-specific permease that is repressed by Mlc. The disruption of ptsG (ΔptsG) is known to induce a CCR-negative phenotype; the mlc∗ strain also exhibits the same phenotype via the same mechanism. As a sample application of the mlc∗ strain, we produced isobutanol from mixed sugars. Using glucose-xylose mixed sugar, the mlc∗ strain produced 1.4-fold more isobutanol than the parental wild-type strain. Also, the mlc∗ strain produced similar or greater amounts of isobutanol than other CCR-negative strains, ΔptsG and crp∗ (crp∗, encoding the constitutive-active mutant of cAMP receptor protein). In conclusion, the mlc∗ strain is a new CCR-negative strain that is useful for producing valuable compounds from mixed sugars.

Genome-scale genetic manipulation methods for exploring bacterial molecular biology

Bacteria are diverse and abundant, playing key roles in human health and disease, the environment, and biotechnology. Despite progress in genome sequencing and bioengineering, much remains unknown about the functional organization of prokaryotes. For instance, roughly a third of the protein-coding genes of the best-studied model bacterium, Escherichia coli, currently lack experimental annotations. Systems-level experimental approaches for investigating the functional associations of bacterial genes and genetic structures are essential for defining the fundamental molecular biology of microbes, preventing the spread of antibacterial resistance in the clinic, and driving the development of future biotechnological applications. This review highlights recently introduced large-scale genetic manipulation and screening procedures for the systematic exploration of bacterial gene functions, molecular relationships, and the global organization of bacteria at the gene, pathway, and genome levels.

Multiple factors dictate target selection by Hfq-binding small RNAs

Hfq-binding small RNAs (sRNAs) in bacteria modulate the stability and translational efficiency of target mRNAs through limited base-pairing interactions. While these sRNAs are known to regulate numerous mRNAs as part of stress responses, what distinguishes targets and non-targets among the mRNAs predicted to base pair with Hfq-binding sRNAs is poorly understood. Using the Hfq-binding sRNA Spot 42 of Escherichia coli as a model, we found that predictions using only the three unstructured regions of Spot 42 substantially improved the identification of previously known and novel Spot 42 targets. Furthermore, increasing the extent of base-pairing in single or multiple base-pairing regions improved the strength of regulation, but only for the unstructured regions of Spot 42. We also found that non-targets predicted to base pair with Spot 42 lacked an Hfq-binding site, folded into a secondary structure that occluded the Spot 42 targeting site, or had overlapping Hfq-binding and targeting sites. By modifying these features, we could impart Spot 42 regulation on non-target mRNAs. Our results thus provide valuable insights into the requirements for target selection by sRNAs.

Perspectives on the automatic design of regulatory systems for synthetic biology

Automatic design is based on computational modeling and optimization methods to provide prototype designs to targeted problems in an unsupervised manner. For biological circuits, we need to produce quantitative predictions of cell behavior for a given genotype as consequence of the different molecular interactions. Automatic design techniques aim at solving the inverse problem of finding the sequences of nucleotides that better fit a targeted behavior. In the post-genomic era, our molecular knowledge and modeling capabilities have allowed to start using such methodologies with success. Herein, we describe how the emergence of this new type of tools could enable novel synthetic biology applications. We highlight the essential elements to develop automatic design procedures for synthetic biology pointing out their advantages and bottlenecks. We discuss in detail the experimental difficulties to overcome in the in vivo implementation of designed networks. The use of automatic design to engineer biological networks is starting to emerge as a new technique to perform synthetic biology, which should not be neglected in the future.

A genome-wide inducible phenotypic screen identifies antisense RNA constructs silencing Escherichia coli essential genes

Regulated antisense RNA (asRNA) expression has been employed successfully in Gram-positive bacteria for genome-wide essential gene identification and drug target determination. However, there have been no published reports describing the application of asRNA gene silencing for comprehensive analyses of essential genes in Gram-negative bacteria. In this study, we report the first genome-wide identification of asRNA constructs for essential genes in Escherichia coli. We screened 250 000 library transformants for conditional growth inhibitory recombinant clones from two shotgun genomic libraries of E. coli using a paired-termini expression vector (pHN678). After sequencing plasmid inserts of 675 confirmed inducer sensitive cell clones, we identified 152 separate asRNA constructs of which 134 inserts came from essential genes, while 18 originated from nonessential genes (but share operons with essential genes). Among the 79 individual essential genes silenced by these asRNA constructs, 61 genes (77%) engage in processes related to protein synthesis. The cell-based assays of an asRNA clone targeting fusA (encoding elongation factor G) showed that the induced cells were sensitized 12-fold to fusidic acid, a known specific inhibitor. Our results demonstrate the utility of the paired-termini expression vector and feasibility of large-scale gene silencing in E. coli using regulated asRNA expression.

Engineering artificial small RNAs for conditional gene silencing in Escherichia coli

It has become increasingly evident that noncoding small RNAs (sRNAs) play a significant and global role in bacterial gene regulation. A majority of the trans-acting sRNAs in bacteria interact with the 5' untranslated region (UTR) and/or the translation initiation region of the targeted mRNAs via imperfect base pairing, resulting in reduced translation efficiency and/or mRNA stability. Additionally, bacterial sRNAs often contain distinct scaffolds that recruit RNA chaperones such as Hfq to facilitate gene regulation. In this study, we describe a strategy to engineer artificial sRNAs that can regulate desired endogenous genes in Escherichia coli. Using a fluorescent reporter gene that was translationally fused to a native 5' mRNA leader sequence, active artificial sRNAs were screened from libraries in which natural sRNA scaffolds were fused to a randomized antisense domain. Artificial sRNAs that posttranscriptionally repress two endogenous genes ompF and fliC were isolated and characterized. We anticipate that the artificial sRNAs will be useful for dynamic control and fine-tuning of endogenous gene expression in bacteria for applications in synthetic biology.

Multiple-gene silencing using antisense RNAs in Escherichia coli

We have developed four expression vectors to express antisense RNAs (asRNAs) by which genes of interest are silenced in Escherichia coli. The vectors are all IPTG-inducible and co-transformable in any combination and target genes are silenced conditionally and concurrently. Furthermore, in order to improve silencing efficacy, the vectors are designed to express uniquely shaped antisense RNAs, named paired termini antisense RNAs (PTasRNAs). The vectors are useful for comprehensive investigation of gene function and are applicable even if the target genes are essential for cell growth. Here, we describe methods to construct PTasRNA-expressing vectors and to evaluate silencing efficacy.

Synthetic RNA silencing in bacteria - antimicrobial discovery and resistance breaking

The increasing incidence and prevalence of antibiotic resistance in bacteria threatens the “antibiotic miracle.” Conventional antimicrobial drug development has failed to replace the armamentarium needed to combat this problem, and novel solutions are urgently required. Here we review both natural and synthetic RNA silencing and its potential to provide new antibacterials through improved target selection, evaluation, and screening. Furthermore, we focus on synthetic RNA silencers as a novel class of antibacterials and review their unique properties.

Technologies of directed protein evolution in vivo

Directed evolution of proteins for improved or modified functionality is an important branch of modern biotechnology. It has traditionally been performed using various in vitro methods, but more recently, methods of in vivo artificial evolution come into play. In this review, we discuss and compare prokaryotic and eukaryotic-based systems of directed protein evolution in vivo, highlighting their benefits and current limitations and focusing on the biotechnological potential of vertebrate immune cells for the generation of protein diversity by means of the immunoglobulin diversification machinery.

Molecular actions of Escherichia coli MutT for control of spontaneous mutagenesis

MutT protein of Escherichia coli hydrolyzes oxidized guanine nucleotides, 8-oxo-dGTP and 8-oxoGTP, to the corresponding monophosphates, thereby preventing misincorporation of 8-oxoguanine into DNA and RNA, respectively. Although the biological significance of the MutT has been established, how MutT protein actually works in vivo remains to be elucidated. The current study shows the molecular behavior of the MutT protein in vivo and in vitro with special reference to control of spontaneous mutagenesis. A single E. coli cell carries about 70-75 molecules of the MutT protein and that this number does not change even when the cells were cultured in anaerobic and hyper-oxidative conditions. Conditional gene silencing analyses revealed that about a half number of MutT molecules are needed for keeping the spontaneous mutation frequency at the normal level. The MutT functions are not needed under anaerobic condition, yet the level of the MutT protein in cell is kept constant, probably for preparing for sudden changes of oxygen pressure. There is a possibility that MutT functions in close association with other proteins, and evidence is presented that MutT protein can interact with some proteins in vivo.

Shine-Dalgarno sequence enhances the efficiency of lacZ repression by artificial anti-lac antisense RNAs in Escherichia coli

Silencing of the lacZ gene in Escherichia coli was attempted by means of the expression of antisense RNAs (asRNAs) in vivo. A short fragment of lacZ was cloned into the pBAD expression vector, in reverse orientation, using the EcoRI and PstI restriction sites. This construct (pBAD-Zcal1) was used to transform E. coli cells, and the antisense transcription was induced simply by adding arabinose to the culture medium. We demonstrated that the Zcal1 asRNA effectively silenced lacZ using β-galactosidase activity determinations, SDS-PAGE, and Western blotting. Because the concentration of the lac mRNA was always high in cells that expressed Zcal1, we hypothesize that this antisense acts by inhibiting messenger translation. Similar analyses, performed with a series of site-specific Zcal1 mutants, showed that the Shine-Dalgarno sequence, which is conferred by the pBAD vector, is an essential requisite for silencing competence. Indeed, the presence of the intact Shine-Dalgarno sequence positively affects asRNA stability and, hence, silencing effectiveness. Our observations will contribute to the understanding of the main determinants of silencing as exerted by asRNAs as well as provide useful support for the design of robust and efficient prokaryotic gene silencers.

RNA-mediated regulation in bacteria: from natural to artificial systems

Bacteria use various means of RNA-mediated gene regulation. Regulatory RNAs include mRNA leaders that affect expression in cis or in trans, non-coding RNAs that trap regulatory proteins or interact with one or multiple target mRNAs, and RNAs that protect the bacteria against foreign and invasive DNA. The aim of this review is to outline the basic principles of bacterial RNA-mediated regulation, with a special focus on both cis-acting regulatory regions of mRNAs and antisense RNAs (asRNAs), and to give a brief overview of selected examples of RNA-based technology that have paved the way for biotechnological applications.