Axial distortion as a sensor of supercoil changes: a molecular model for the homeostatic regulation of DNA gyrase

Negative supercoiling stimulates transcription of many genes. In contrast, transcription of the genes coding for DNA gyrase is subject to a novel mechanism of autoregulation, wherein relaxation of the template DNA stimulates their transcription. Since DNA gyrase is the sole supercoiling activity in the eubacterial cell, relaxation-stimulated transcription (RST) could reflect an autoregulatory mechanism to maintain supercoil levels within the cell. Extensive deletion and mutational analyses of Escherichia coli gyrA promoter have shown that the -10 region is essential for RST; however, a molecular model has proved to be elusive. We find a strong bend centre immediately downstream of the -10 region in the gyrA promoter. On the basis of analysis of various mutants in the -10 region, we propose a model where axial distortion acts as a sensor of topological changes in DNA. Our model is consistent with earlier data with E. coli gyrA and gyrB promoters. We also extrapolate the model to explain the phenomenon of RST of gyr promoters in other organisms and contrast it with promoters induced by supercoiling

DNA gyrase genes in mycobacterium tuberculosis: a single operon driven by multiple promoters

The two genes encoding DNA gyrase in Mycobacterium tuberculosis are present next to each other in the genome, with gyrB upstream of gyrA. We show that the primary transcript is dicistronic. However, in addition to the principal promoter, there are multiple weaker promoters that appear to fine-tune transcription. With these and other mycobacterial promoters, we propose consensus promoter sequences for two distinct sigma factors. In addition to this, the gyr genes in M. tuberculosis, as in other species, are subject to autoregulation, albeit with slower kinetics, probably reflecting the slower metabolism of the organism

Alternate paradigm for intrinsic transcription termination in eubacteria

Intrinsic transcription terminators are functionally defined as sites that bring about termination in vitro with purified RNA polymerase alone. Based on studies in Escherichia coli, intrinsic termination requires a palindromic stretch followed by a trail of T (or U) residues in the coding strand. We have developed a highly efficient algorithm to identify hairpin potential sequences in bacterial genomes in order to build a general model for intrinsic transcription termination. The algorithm was applied to analyze the Mycobacterium tuberculosis genome. We find that hairpin potential sequences are concentrated in the immediate downstream of stop codons. However, most of these structures either lack the U trail entirely or have a mixed A/U trail reflecting an evolutionarily relaxed requirement for the U trail in the mycobacterial genome. Predicted atypical structures were shown to work efficiently as terminators both inside the mycobacterial cell and in vitro with purified RNA polymerase. The results are discussed in light of the kinetic competition models for transcription termination. The algorithm identifies >90% of experimentally tested terminators in bacteria and is an invaluable tool in identifying transcription units in whole genomes

Small non-coding RNAs in Streptomyces coelicolor

In bacteria, small RNAs (sRNAs) make important regulatory contributions to an ever increasing number of cellular processes. To expand the repertoire of known sRNAs, we sought to identify novel sRNAs in the differentiating, multicellular bacterium Streptomyces coelicolor. We describe a combined bioinformatic and experimental approach that enabled the identification and characterization of nine novel sRNAs in S. coelicolor, including a cis-encoded antisense sRNA. We examined sRNA expression throughout the S. coelicolor developmental cycle, which progresses from vegetative mycelium formation, to aerial mycelium formation and finally sporulation. We further determined the effects of growth medium composition (rich versus minimal medium) on sRNA gene expression, and compared wild-type sRNA expression profiles with those of four developmental mutants. All but two of the sRNAs exhibited some degree of medium dependence, with three sRNAs being expressed exclusively during growth on one medium type. Unlike most sRNAs characterized thus far, several sRNA genes in S. coelicolor were expressed constitutively (apart from during late sporulation), suggesting a possible housekeeping role for these transcripts. Others were expressed at specific developmental stages, and their expression profiles were altered in response to developmental mutations. Expression of one sRNA in particular was dependent upon the sporulation-specific sigma factor σWhiG

RNIE: genome-wide prediction of bacterial intrinsic terminators

Bacterial Rho-independent terminators (RITs) are important genomic landmarks involved in gene regulation and terminating gene expression. In this investigation we present RNIE, a probabilistic approach for predicting RITs. The method is based upon covariance models which have been known for many years to be the most accurate computational tools for predicting homology in structural non-coding RNAs. We show that RNIE has superior performance in model species from a spectrum of bacterial phyla. Further analysis of species where a low number of RITs were predicted revealed a highly conserved structural sequence motif enriched near the genic termini of the pathogenic Actinobacteria, Mycobacterium tuberculosis. This motif, together with classical RITs, account for up to 90% of all the significantly structured regions from the termini of M. tuberculosis genic elements. The software, predictions and alignments described below are available from http://github.com/ppgardne/RNIE

The genome of Streptococcus pneumoniae is organized in topology-reacting gene clusters

The transcriptional response of Streptococcus pneumoniae was examined after exposure to the GyrB-inhibitor novobiocin. Topoisomer distributions of an internal plasmid confirmed DNA relaxation and recovery of the native level of supercoiling at low novobiocin concentrations. This was due to the up-regulation of DNA gyrase and the down-regulation of topoisomerases I and IV. In addition, >13% of the genome exhibited relaxation-dependent transcription. The majority of the responsive genes (>68%) fell into 15 physical clusters (14.6–85.6 kb) that underwent coordinated regulation, independently of operon organization. These genomic clusters correlated with AT content and codon composition, showing the chromosome to be organized into topology-reacting gene clusters that respond to DNA supercoiling. In particular, down-regulated clusters were flanked by 11–40 kb AT-rich zones that might have a putative structural function. This is the first case where genes responding to changes in the level of supercoiling in a coordinated manner were found organized as functional clusters. Such an organization revealed DNA supercoiling as a general feature that controls gene expression superimposed on other kinds of more specific regulatory mechanisms

A novel antisense RNA regulates at transcriptional level the virulence gene icsA of Shigella flexneri

The virulence gene icsA of Shigella flexneri encodes an invasion protein crucial for host colonization by pathogenic bacteria. Within the intergenic region virA-icsA, we have discovered a new gene that encodes a non-translated antisense RNA (named RnaG), transcribed in cis on the complementary strand of icsA. In vitro transcription assays show that RnaG promotes premature termination of transcription of icsA mRNA. Transcriptional inhibition is also observed in vivo by monitoring the expression profile in Shigella by real-time polymerase chain reaction and when RnaG is provided in trans. Chemical and enzymatic probing of the leader region of icsA mRNA either free or bound to RnaG indicate that upon hetero-duplex formation an intrinsic terminator, leading to transcription block, is generated on the nascent icsA mRNA. Mutations in the hairpin structure of the proposed terminator impair the RnaG mediated-regulation of icsA transcription. This study represents the first evidence of transcriptional attenuation mechanism caused by a small RNA in Gram-negative bacteria. We also present data on the secondary structure of the antisense region of RnaG. In addition, alternatively silencing icsA and RnaG promoters, we find that transcription from the strong RnaG promoter reduces the activity of the weak convergent icsA promoter through the transcriptional interference regulation

Parp1 facilitates alternative NHEJ, whereas Parp2 suppresses IgH/c-myc translocations during immunoglobulin class switch recombination

Immunoglobulin class switch recombination (CSR) is initiated by DNA breaks triggered by activation-induced cytidine deaminase (AID). These breaks activate DNA damage response proteins to promote appropriate repair and long-range recombination. Aberrant processing of these breaks, however, results in decreased CSR and/or increased frequency of illegitimate recombination between the immunoglobulin heavy chain locus and oncogenes like c-myc. Here, we have examined the contribution of the DNA damage sensors Parp1 and Parp2 in the resolution of AID-induced DNA breaks during CSR. We find that although Parp enzymatic activity is induced in an AID-dependent manner during CSR, neither Parp1 nor Parp2 are required for CSR. We find however, that Parp1 favors repair of switch regions through a microhomology-mediated pathway and that Parp2 actively suppresses IgH/c-myc translocations. Thus, we define Parp1 as facilitating alternative end-joining and Parp2 as a novel translocation suppressor during CSR

Transcriptome dynamics-based operon prediction and verification in Streptomyces coelicolor

Streptomyces spp. produce a variety of valuable secondary metabolites, which are regulated in a spatio-temporal manner by a complex network of inter-connected gene products. Using a compilation of genome-scale temporal transcriptome data for the model organism, Streptomyces coelicolor, under different environmental and genetic perturbations, we have developed a supervised machine-learning method for operon prediction in this microorganism. We demonstrate that, using features dependent on transcriptome dynamics and genome sequence, a support vector machines (SVM)-based classification algorithm can accurately classify >90% of gene pairs in a set of known operons. Based on model predictions for the entire genome, we verified the co-transcription of more than 250 gene pairs by RT-PCR. These results vastly increase the database of known operons in S. coelicolor and provide valuable information for exploring gene function and regulation to harness the potential of this differentiating microorganism for synthesis of natural products

A predicted operon map for Mycobacterium tuberculosis

The prediction of operons in Mycobacterium tuberculosis (MTB) is a first step toward understanding the regulatory network of this pathogen. Here we apply a statistical model using logistic regression to predict operons in MTB. As predictors, our model incorporates intergenic distance and the correlation of gene expression calculated for adjacent gene pairs from over 474 microarray experiments with MTB RNA. We validate our findings with known examples from the literature and experimentation. From this model, we rank each potential operon pair by the strength of evidence for cotranscription, choose a classification threshold with a true positive rate of over 90% at a false positive rate of 9.1%, and use it to construct an operon map for the MTB genome