SIDDBASE: a database containing the stress-induced DNA duplex destabilization (SIDD) profiles of complete microbial genomes

Prokaryotic genomic DNA is generally negatively supercoiled in vivo. Many regulatory processes, including the initiation of transcription, are known to depend on the superhelical state of the DNA substrate. The stresses induced within DNA by negative superhelicity can destabilize the DNA duplex at specific sites. Various experiments have either shown or suggested that stress-induced DNA duplex destabilization (SIDD) is involved in specific regulatory mechanisms governing a variety of biological processes. We have developed methods to evaluate the SIDD properties of DNA sequences, including complete chromosomes. This analysis predicts the locations where the duplex becomes destabilized under superhelical stress. Previous studies have shown that the SIDD-susceptible sites predicted in this way occur at rates much higher than expected at random in transcriptional regulatory regions, and much lower than expected in coding regions. Analysis of the SIDD profiles of 42 bacterial genomes chosen for their diversity confirms this pattern. Predictions of SIDD sites have been used to identify potential genomic regulatory regions, and suggest both possible regulatory mechanisms involving stress-induced destabilization and experimental tests of these mechanisms. Here we describe the SIDDBASE database which enables users to retrieve and visualize the results of SIDD analyses of completely sequenced prokaryotic and archaeal genomes, together with their annotations. SIDDBASE is available at

Loop exponent in DNA bubble dynamics

Dynamics of DNA bubbles are of interest for both statistical physics and biology. We present exact solutions to the Fokker-Planck equation governing bubble dynamics in the presence of a long-range entropic interaction. The complete meeting time and meeting position probability distributions are derived from the solutions. Probability distribution functions reflect the value of the loop exponent of the entropic interaction. Our results extend previous results which concentrated mainly on the tails of the probability distribution functions and open a way to determining the strength of the entropic interaction experimentally which has been a matter of recent discussions. Using numerical integration, we also discuss the influence of the finite size of a DNA chain on the bubble dynamics. Analogous results are obtained also for the case of subdiffusive dynamics of a DNA bubble in a heteropolymer, revealing highly universal asymptotics of meeting time and position probability functions.Comment: 24 pages, 11 figures, text identical to the published version; v3 - updated Ref. [47] and corrected Eqs. (3.6) and (3.10

Superhelical Duplex Destabilization and the Recombination Position Effect

The susceptibility to recombination of a plasmid inserted into a chromosome varies with its genomic position. This recombination position effect is known to correlate with the average G+C content of the flanking sequences. Here we propose that this effect could be mediated by changes in the susceptibility to superhelical duplex destabilization that would occur. We use standard nonparametric statistical tests, regression analysis and principal component analysis to identify statistically significant differences in the destabilization profiles calculated for the plasmid in different contexts, and correlate the results with their measured recombination rates. We show that the flanking sequences significantly affect the free energy of denaturation at specific sites interior to the plasmid. These changes correlate well with experimentally measured variations of the recombination rates within the plasmid. This correlation of recombination rate with superhelical destabilization properties of the inserted plasmid DNA is stronger than that with average G+C content of the flanking sequences. This model suggests a possible mechanism by which flanking sequence base composition, which is not itself a context-dependent attribute, can affect recombination rates at positions within the plasmid

Segmentation of DNA sequences into twostate regions and melting fork regions

The accurate prediction and characterization of DNA melting domains by computational tools could facilitate a broad range of biological applications. However, no algorithm for melting domain prediction has been available until now. The main challenges include the difficulty of mathematically mapping a qualitative description of DNA melting domains to quantitative statistical mechanics models, as well as the absence of 'gold standards' and a need for generality. In this paper, we introduce a new approach to identify the twostate regions and melting fork regions along a given DNA sequence. Compared with an ad hoc segmentation used in one of our previous studies, the new algorithm is based on boundary probability profiles, rather than standard melting maps. We demonstrate that a more detailed characterization of the DNA melting domain map can be obtained using our new method, and this approach is independent of the choice of DNA melting model. We expect this work to drive our understanding of DNA melting domains one step further.Comment: 17 pages, 8 figures; new introduction, added refs, minor change

Applying Small-Scale DNA Signatures as an Aid in Assembling Soybean Chromosome Sequences

Previous work has established a genomic signature based on relative counts of the 16 possible dinucleotides. Until now, it has been generally accepted that the dinucleotide signature is characteristic of a genome and is relatively homogeneous across a genome. However, we found some local regions of the soybean genome with a signature differing widely from that of the rest of the genome. Those regions were mostly centromeric and pericentromeric, and enriched for repetitive sequences. We found that DNA binding energy also presented large-scale patterns across soybean chromosomes. These two patterns were helpful during assembly and quality control of soybean whole genome shotgun scaffold sequences into chromosome pseudomolecules

nocoRNAc: Characterization of non-coding RNAs in prokaryotes

<p>Abstract</p> <p>Background</p> <p>The interest in non-coding RNAs (ncRNAs) constantly rose during the past few years because of the wide spectrum of biological processes in which they are involved. This led to the discovery of numerous ncRNA genes across many species. However, for most organisms the non-coding transcriptome still remains unexplored to a great extent. Various experimental techniques for the identification of ncRNA transcripts are available, but as these methods are costly and time-consuming, there is a need for computational methods that allow the detection of functional RNAs in complete genomes in order to suggest elements for further experiments. Several programs for the genome-wide prediction of functional RNAs have been developed but most of them predict a genomic locus with no indication whether the element is transcribed or not.</p> <p>Results</p> <p>We present <smcaps>NOCO</smcaps>RNAc, a program for the genome-wide prediction of ncRNA transcripts in bacteria. <smcaps>NOCO</smcaps>RNAc incorporates various procedures for the detection of transcriptional features which are then integrated with functional ncRNA loci to determine the transcript coordinates. We applied RNAz and <smcaps>NOCO</smcaps>RNAc to the genome of <it>Streptomyces coelicolor </it>and detected more than 800 putative ncRNA transcripts most of them located antisense to protein-coding regions. Using a custom design microarray we profiled the expression of about 400 of these elements and found more than 300 to be transcribed, 38 of them are predicted novel ncRNA genes in intergenic regions. The expression patterns of many ncRNAs are similarly complex as those of the protein-coding genes, in particular many antisense ncRNAs show a high expression correlation with their protein-coding partner.</p> <p>Conclusions</p> <p>We have developed <smcaps>NOCO</smcaps>RNAc, a framework that facilitates the automated characterization of functional ncRNAs. <smcaps>NOCO</smcaps>RNAc increases the confidence of predicted ncRNA loci, especially if they contain transcribed ncRNAs. <smcaps>NOCO</smcaps>RNAc is not restricted to intergenic regions, but it is applicable to the prediction of ncRNA transcripts in whole microbial genomes. The software as well as a user guide and example data is available at <url>http://www.zbit.uni-tuebingen.de/pas/nocornac.htm</url>.</p

Theoretical Analysis of the Stress Induced B-Z Transition in Superhelical DNA

We present a method to calculate the propensities of regions within a DNA molecule to transition from B-form to Z-form under negative superhelical stresses. We use statistical mechanics to analyze the competition that occurs among all susceptible Z-forming regions at thermodynamic equilibrium in a superhelically stressed DNA of specified sequence. This method, which we call SIBZ, is similar to the SIDD algorithm that was previously developed to analyze superhelical duplex destabilization. A state of the system is determined by assigning to each base pair either the B- or the Z-conformation, accounting for the dinucleotide repeat unit of Z-DNA. The free energy of a state is comprised of the nucleation energy, the sequence-dependent B-Z transition energy, and the energy associated with the residual superhelicity remaining after the change of twist due to transition. Using this information, SIBZ calculates the equilibrium B-Z transition probability of each base pair in the sequence. This can be done at any physiologically reasonable level of negative superhelicity. We use SIBZ to analyze a variety of representative genomic DNA sequences. We show that the dominant Z-DNA forming regions in a sequence can compete in highly complex ways as the superhelicity level changes. Despite having no tunable parameters, the predictions of SIBZ agree precisely with experimental results, both for the onset of transition in plasmids containing introduced Z-forming sequences and for the locations of Z-forming regions in genomic sequences. We calculate the transition profiles of 5 kb regions taken from each of 12,841 mouse genes and centered on the transcription start site (TSS). We find a substantial increase in the frequency of Z-forming regions immediately upstream from the TSS. The approach developed here has the potential to illuminate the occurrence of Z-form regions in vivo, and the possible roles this transition may play in biological processes

Genomic analysis of the regulatory elements and links with intrinsic DNA structural properties in the shrunken genome of Buchnera

International audienceBackground Buchnera aphidicola is an obligate symbiotic bacterium, associated with most of the aphididae, whose genome has drastically shrunk during intracellular evolution. Gene regulation in Buchnera has been a matter of controversy in recent years as the combination of genomic information with the experimental results has been contradictory, refuting or arguing in favour of a functional and responsive transcription regulation in Buchnera.The goal of this study was to describe the gene transcription regulation capabilities of Buchnera based on the inventory of cis- and trans-regulators encoded in the genomes of five strains from different aphids (Acyrthosiphon pisum, Schizaphis graminum, Baizongia pistacea, Cinara cedri and Cinara tujafilina), as well as on the characterisation of some intrinsic structural properties of the DNA molecule in these bacteria.ResultsInteraction graph analysis shows that gene neighbourhoods are conserved between E. coli and Buchnera in structures called transcriptons, interactons and metabolons, indicating that selective pressures have acted on the evolution of transcriptional, protein-protein interaction and metabolic networks in Buchnera. The transcriptional regulatory network in Buchnera is composed of a few general DNA-topological regulators (Nucleoid Associated Proteins and topoisomerases), with the quasi-absence of any specific ones (except for multifunctional enzymes with a known gene expression regulatory role in Escherichia coli, such as AlaS, PepA and BolA, and the uncharacterized hypothetical regulators YchA and YrbA). The relative positioning of regulatory genes along the chromosome of Buchnera seems to have conserved its ancestral state, despite the genome erosion. Sigma-70 promoters with canonical thermodynamic sequence profiles were detected upstream of about 94% of the CDS of Buchnera in the different aphids. Based on Stress-Induced Duplex Destabilization (SIDD) measurements, unstable σ70 promoters were found specifically associated with the regulator and transporter genes.ConclusionsThis genomic analysis provides supporting evidence of a selection of functional regulatory structures and it has enabled us to propose hypotheses concerning possible links between these regulatory elements and the DNA-topology (i.e., supercoiling, curvature, flexibility and base-pair stability) in the regulation of gene expression in the shrunken genome of Buchnera

Theoretical Analysis of Competing Conformational Transitions in Superhelical DNA

We develop a statistical mechanical model to analyze the competitive behavior of transitions to multiple alternate conformations in a negatively supercoiled DNA molecule of kilobase length and specified base sequence. Since DNA superhelicity topologically couples together the transition behaviors of all base pairs, a unified model is required to analyze all the transitions to which the DNA sequence is susceptible. Here we present a first model of this type. Our numerical approach generalizes the strategy of previously developed algorithms, which studied superhelical transitions to a single alternate conformation. We apply our multi-state model to study the competition between strand separation and B-Z transitions in superhelical DNA. We show this competition to be highly sensitive to temperature and to the imposed level of supercoiling. Comparison of our results with experimental data shows that, when the energetics appropriate to the experimental conditions are used, the competition between these two transitions is accurately captured by our algorithm. We analyze the superhelical competition between B-Z transitions and denaturation around the c-myc oncogene, where both transitions are known to occur when this gene is transcribing. We apply our model to explore the correlation between stress-induced transitions and transcriptional activity in various organisms. In higher eukaryotes we find a strong enhancement of Z-forming regions immediately 5′ to their transcription start sites (TSS), and a depletion of strand separating sites in a broad region around the TSS. The opposite patterns occur around transcript end locations. We also show that susceptibility to each type of transition is different in eukaryotes and prokaryotes. By analyzing a set of untranscribed pseudogenes we show that the Z-susceptibility just downstream of the TSS is not preserved, suggesting it may be under selection pressure

Predição e análise da expressão de RNAS não codificadores com função regulatória presentes na bactéria Herbaspirillum Seropedicae SmR1

Resumo: Herbaspirillum seropedicae estirpe SmR1 é uma bactéria endofítica capaz de fixar nitrogênio e promover o crescimento de importantes culturas agrícolas. Seu genoma foi completamente sequenciado e anotado pelo Programa Genoma do Estado do Paraná (GENOPAR Consortium (www.genopar.org)). Esta bactéria tem um único cromossomo circular de 5.513.887 pares de base com 4.735 ORFs anotadas, as quais representam 88,3% do genoma. Em bactérias, RNAs não codificadores com função regulatória (ncRNAs) podem modular várias respostas fisiológicas e atuar por diferentes mecanismos, como pareamento de bases de RNA-RNA e interações RNA-proteína. Tecnologias de sequenciamento High-throughput, como por exemplo, a plataforma SOLiD, estão permitindo a identificação em larga escala de ncRNAs, revelando a existência de vários transcritos não-codificadores e indicando que a quantidade de ncRNAs reguladores pode ser maior do que se pensava anteriormente. Tradicionalmente, abordagens in silico para a identificação dessas moléculas envolvem a associação de sequência de promotor fator sigma70 com sequências de terminador Rho-independentes, e / ou conservação de estruturas primárias e secundárias de RNA. O objetivo deste trabalho foi identificar e avaliar a expressão de ncRNAs presentes em H. Seropedicae SmR1. Para isso, o genoma completo foi pesquisado com as ferramentas de bioinformática Gsalgorithm e nocoRNAc, que foram usadas para identificar regiões do genoma flanqueadas por sequências de promotor e sequências de terminador Rho- independentes candidatas a codificar ncRNAs. Adicionalmente, a ferramenta Cufflinks foi utilizadas para localizar regiões do genoma com consideráveis níveis de transcrição e livres de ORFS. Para avaliar a expressão dos ncRNAs, o transcriptoma de H. seropedicae SMR1 cultivada em três diferentes condições foi determinado por RNA-Seq utilizando a plataforma de sequenciamento SOLiD. Um total de 98 ncRNAs foram confirmados no conjunto de dados do transcriptoma. A comparação dos ncRNAs com os bancos de dados RFAM e RIBEX revelaram que apenas oito transcritos identificados nesse estudo já haviam sido descritos em outras espécies de bactérias, descando os seguintes: 4.5S RNA, 6S RNA (SsrS), Intron_gpI, tmRNA, and TPP Riboswitch. A função de 90 novos ncRNAs serão investigados in vivo