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Peter F Stadler

Publications and source records attributed to Peter F Stadler.

At least 37 records · Page 2Linked to original sources

Local RNA base pairing probabilities in large sequences.

SUMMARY: The genome-wide search for non-coding RNAs requires efficient methods to compute and compare local secondary structures. Since the exact boundaries of such putative transcripts are typically unknown, arbitrary sequence windows have to be used in practice. Here we present a method for robustly computing the probabilities of local base pairs from long RNA sequences independent of the exact positions of the sequence window. AVAILABILITY: The program RNAplfold is part of the Vienna RNA Package and can be downloaded from http://www.tbi.univie.ac.at/RNA/.

Algorithms↗

Alignments of mitochondrial genome arrangements: applications to metazoan phylogeny.

Mitochondrial genomes provide a valuable dataset for phylogenetic studies, in particular of metazoan phylogeny because of the extensive taxon sample that is available. Beyond the traditional sequence-based analysis it is possible to extract phylogenetic information from the gene order. Here we present a novel approach utilizing these data based on cyclic list alignments of the gene orders. A progressive alignment approach is used to combine pairwise list alignments into a multiple alignment of gene orders. Parsimony methods are used to reconstruct phylogenetic trees, ancestral gene orders, and consensus patterns in a straightforward approach. We apply this method to study the phylogeny of protostomes based exclusively on mitochondrial genome arrangements. We, furthermore, demonstrate that our approach is also applicable to the much larger genomes of chloroplasts.

Algorithms↗

The "fish-specific" Hox cluster duplication is coincident with the origin of teleosts.

The Hox gene complement of zebrafish, medaka, and fugu differs from that of other gnathostome vertebrates. These fishes have seven to eight Hox clusters compared to the four Hox clusters described in sarcopterygians and shark. The clusters in different teleost lineages are orthologous, implying that a "fish-specific" Hox cluster duplication has occurred in the stem lineage leading to the most recent common ancestor of zebrafish and fugu. The timing of this event, however, is unknown. To address this question, we sequenced four Hox genes from taxa representing basal actinopterygian and teleost lineages and compared them to known sequences from shark, coelacanth, zebrafish, and other teleosts. The resulting gene genealogies suggest that the fish-specific Hox cluster duplication occurred coincident with the origin of crown group teleosts. In addition, we obtained evidence for an independent Hox cluster duplication in the sturgeon lineage (Acipenseriformes). Finally, results from HoxA11 suggest that duplicated Hox genes have experienced diversifying selection immediately after the duplication event. Taken together, these results support the notion that the duplicated Hox genes of teleosts were causally relevant to adaptive evolution during the initial teleost radiation.

Animals↗

Non-coding RNAs in Ciona intestinalis.

MOTIVATION: The analysis of animal genomes showed that only a minute part of their DNA codes for proteins. Recent experimental results agree, however, that a large fraction of these genomes are transcribed and hence are probably functional at the RNA level. A computational survey of vertebrate genomes has predicted thousands of previously unknown ncRNAs with evolutionarily conserved secondary structures. Extending these comparative studies beyond vertebrates is difficult, however, since most ncRNAs evolve quickly at the sequence level while conserving their characteristic secondarystructures. RESULTS: We report on a computational screen of structured ncRNAs in the urochordate lineage based on a comparison of the genomic data from Ciona intestinalis, Ciona savignyi and Oikopleura dioica. We predict >1000 ncRNAs with an evolutionarily conserved RNA secondary structure. Of these, about a quarter are located in introns of known protein coding sequences. A few RNA motifs can be identified as known RNAs, including approximately 300 tRNAs, some 100 snRNA genes and a few microRNAs and snoRNAs. AVAILABILITY: www.bioinf.uni-leipzig.de/Publications/SUPPLEMENTS/05-008/

Animals↗

Multiple sequence alignments of partially coding nucleic acid sequences.

BACKGROUND: High quality sequence alignments of RNA and DNA sequences are an important prerequisite for the comparative analysis of genomic sequence data. Nucleic acid sequences, however, exhibit a much larger sequence heterogeneity compared to their encoded protein sequences due to the redundancy of the genetic code. It is desirable, therefore, to make use of the amino acid sequence when aligning coding nucleic acid sequences. In many cases, however, only a part of the sequence of interest is translated. On the other hand, overlapping reading frames may encode multiple alternative proteins, possibly with intermittent non-coding parts. Examples are, in particular, RNA virus genomes. RESULTS: The standard scoring scheme for nucleic acid alignments can be extended to incorporate simultaneously information on translation products in one or more reading frames. Here we present a multiple alignment tool, codaln, that implements a combined nucleic acid plus amino acid scoring model for pairwise and progressive multiple alignments that allows arbitrary weighting for almost all scoring parameters. Resource requirements of codaln are comparable with those of standard tools such as ClustalW. CONCLUSION: We demonstrate the applicability of codaln to various biologically relevant types of sequences (bacteriophage Levivirus and Vertebrate Hox clusters) and show that the combination of nucleic acid and amino acid sequence information leads to improved alignments. These, in turn, increase the performance of analysis tools that depend strictly on good input alignments such as methods for detecting conserved RNA secondary structure elements.

Algorithms↗

Comparative promoter region analysis powered by CORG.

BACKGROUND: Promoters are key players in gene regulation. They receive signals from various sources (e.g. cell surface receptors) and control the level of transcription initiation, which largely determines gene expression. In vertebrates, transcription start sites and surrounding regulatory elements are often poorly defined. To support promoter analysis, we present CORG http://corg.molgen.mpg.de, a framework for studying upstream regions including untranslated exons (5' UTR). DESCRIPTION: The automated annotation of promoter regions integrates information of two kinds. First, statistically significant cross-species conservation within upstream regions of orthologous genes is detected. Pairwise as well as multiple sequence comparisons are computed. Second, binding site descriptions (position-weight matrices) are employed to predict conserved regulatory elements with a novel approach. Assembled EST sequences and verified transcription start sites are incorporated to distinguish exonic from other sequences. As of now, we have included 5 species in our analysis pipeline (man, mouse, rat, fugu and zebrafish). We characterized promoter regions of 16,127 groups of orthologous genes. All data are presented in an intuitive way via our web site. Users are free to export data for single genes or access larger data sets via our DAS server http://tomcat.molgen.mpg.de:8080/das. The benefits of our framework are exemplarily shown in the context of phylogenetic profiling of transcription factor binding sites and detection of microRNAs close to transcription start sites of our gene set. CONCLUSION: The CORG platform is a versatile tool to support analyses of gene regulation in vertebrate promoter regions. Applications for CORG cover a broad range from studying evolution of DNA binding sites and promoter constitution to the discovery of new regulatory sequence elements (e.g. microRNAs and binding sites).

5' Untranslated Regions↗

Fast and reliable prediction of noncoding RNAs.

We report an efficient method for detecting functional RNAs. The approach, which combines comparative sequence analysis and structure prediction, already has yielded excellent results for a small number of aligned sequences and is suitable for large-scale genomic screens. It consists of two basic components: (i) a measure for RNA secondary structure conservation based on computing a consensus secondary structure, and (ii) a measure for thermodynamic stability, which, in the spirit of a z score, is normalized with respect to both sequence length and base composition but can be calculated without sampling from shuffled sequences. Functional RNA secondary structures can be identified in multiple sequence alignments with high sensitivity and high specificity. We demonstrate that this approach is not only much more accurate than previous methods but also significantly faster. The method is implemented in the program rnaz, which can be downloaded from www.tbi.univie.ac.at/~wash/RNAz. We screened all alignments of length n > or = 50 in the Comparative Regulatory Genomics database, which compiles conserved noncoding elements in upstream regions of orthologous genes from human, mouse, rat, Fugu, and zebrafish. We recovered all of the known noncoding RNAs and cis-acting elements with high significance and found compelling evidence for many other conserved RNA secondary structures not described so far to our knowledge.

Algorithms↗

Evolution of microRNAs located within Hox gene clusters.

MicroRNAs (miRNAs) form an abundant class of non-coding RNA genes that have an important function in post-transcriptional gene regulation and in particular modulate the expression of developmentally important transcription factors including Hox genes. Two families of microRNAs are genomically located in intergenic regions in the Hox clusters of vertebrates. Here we describe their evolution in detail. We show that the micro RNAs closely follow the patterns of protein evolution in the Hox clusters, which is characterized by cluster duplications followed by differential gene loss.

Animals↗

The effect of RNA secondary structures on RNA-ligand binding and the modifier RNA mechanism: a quantitative model.

RNA-ligand binding often depends crucially on the local RNA secondary structure at the binding site. We develop here a model that quantitatively predicts the effect of RNA secondary structure on effective RNA-ligand binding activities based on equilibrium thermodynamics and the explicit computations of partition functions for the RNA structures. A statistical test for the impact of a particular structural feature on the binding affinities follows directly from this approach. The formalism is extended to describing the effects of hybridizing small "modifier RNAs" to a target RNA molecule outside its ligand binding site. We illustrate the applicability of our approach by quantitatively describing the interaction of the mRNA stabilizing protein HuR with AU-rich elements. We discuss our model and recent experimental findings demonstrating the effectivity of modifier RNAs in vitro in the context of the current research activities in the field of non-coding RNAs. We speculate that modifier RNAs might also exist in nature; if so, they present an additional regulatory layer for fine-tuning gene expression that could evolve rapidly, leaving no obvious traces in the genomic DNA sequences.

Algorithms↗

Molecular evolution of duplicated ray finned fish HoxA clusters: increased synonymous substitution rate and asymmetrical co-divergence of coding and non-coding sequences.

In this study the molecular evolution of duplicated HoxA genes in zebrafish and fugu has been investigated. All 18 duplicated HoxA genes studied have a higher non-synonymous substitution rate than the corresponding genes in either bichir or paddlefish, where these genes are not duplicated. The higher rate of evolution is not due solely to a higher non-synonymous-to-synonymous rate ratio but to an increase in both the non-synonymous as well as the synonymous substitution rate. The synonymous rate increase can be explained by a change in base composition, codon usage, or mutation rate. We found no changes in nucleotide composition or codon bias. Thus, we suggest that the HoxA genes may experience an increased mutation rate following cluster duplication. In the non-Hox nuclear gene RAG1 only an increase in non-synonymous substitutions could be detected, suggesting that the increased mutation rate is specific to duplicated Hox clusters and might be related to the structural instability of Hox clusters following duplication. The divergence among paralog genes tends to be asymmetric, with one paralog diverging faster than the other. In fugu, all b-paralogs diverge faster than the a-paralogs, while in zebrafish Hoxa-13a diverges faster. This asymmetry corresponds to the asymmetry in the divergence rate of conserved non-coding sequences, i.e., putative cis-regulatory elements. These results suggest that the 5' HoxA genes in the same cluster belong to a co-evolutionary unit in which genes have a tendency to diverge together.

Animals↗

Mapping of conserved RNA secondary structures predicts thousands of functional noncoding RNAs in the human genome.

In contrast to the fairly reliable and complete annotation of the protein coding genes in the human genome, comparable information is lacking for noncoding RNAs (ncRNAs). We present a comparative screen of vertebrate genomes for structural noncoding RNAs, which evaluates conserved genomic DNA sequences for signatures of structural conservation of base-pairing patterns and exceptional thermodynamic stability. We predict more than 30,000 structured RNA elements in the human genome, almost 1,000 of which are conserved across all vertebrates. Roughly a third are found in introns of known genes, a sixth are potential regulatory elements in untranslated regions of protein-coding mRNAs and about half are located far away from any known gene. Only a small fraction of these sequences has been described previously. A comparison with recent tiling array data shows that more than 40% of the predicted structured RNAs overlap with experimentally detected sites of transcription. The widespread conservation of secondary structure points to a large number of functional ncRNAs and cis-acting mRNA structures in the human genome.

Animals↗

Unorthodox mRNA start site to extend the highly structured leader of retrotransposon Tto1 mRNA increases transposition rate.

Retroelement RNAs serve as templates for both translation and reverse transcription into extrachromosomal DNA. DNA copies may be inserted into the host genome to multiply element sequences. This transpositional activity of retroelements is usually restricted to specific conditions, particularly to conditions that impose stress on the host organism. In this work, we examined how the mRNA initiation point, and features of primary and secondary structure, of tobacco retrotransposon Tto1 RNA influence its transpositional activity. We found that the most abundant Tto1 RNA is not a substrate for reverse transcription. It is poorly translated, and its 5'-end does not contain a region of redundancy with the most prominent 3'-end. In contrast, expression of an mRNA with the 5'-end extended by 28 nucleotides allows translation and gives rise to transposition events in the heterologous host, Arabidopsis thaliana. In addition, the presence of extended hairpins and of two short open reading frames in the 5'-leader sequence of Tto1 mRNA suggests that translation does not involve ribosome scanning from the mRNA 5'-end to the translation initiation site.

3' Untranslated Regions↗

Gene phylogenies and protein-protein interactions: possible artifacts resulting from shared protein interaction partners.

The study of gene families critically depends on the correct reconstruction of gene genealogies, as for instance in the case of transcription factor genes like Hox genes and Dlx gene families. Proteins belonging to the same family are likely to share some of the same protein interaction partners and may thus face a similar selective environment. This common selective environment can induce co-evolutionary pressures and thus can give rise to correlated rates and patterns of evolution among members of a gene family. In this study, we simulate the evolution of a family of sequences which share a set of interaction partners. Depending on the amount of sequence dedicated to protein-protein interaction and the relative rate parameters of sequence evolution three outcomes are possible: if the fraction of the sequence dedicated to interaction with common co-factors is low and the time since divergence is small, the trees based on sequence information tend to be correct. If the time since gene duplication is long two possible outcomes are observed in our simulations. If the rate of evolution of the interaction partner is small compared to the rate of evolution of the focal protein family, the reconstructed trees tend towards star phylogenies. As the rate of evolution of the interaction partner approaches that of the focal protein family the reconstructed phylogenies tend to be incorrectly resolved. We conclude that the genealogies of gene families can be hard to estimate, in particular if the proteins interact with a conserved set of binding partners, as is likely the case for transcription factors.

Animals↗

Multiple sequence alignment with user-defined constraints at GOBICS.

Most multi-alignment methods are fully automated, i.e. they are based on a fixed set of mathematical rules. For various reasons, such methods may fail to produce biologically meaningful alignments. Herein, we describe a semi-automatic approach to multiple sequence alignment where biological expert knowledge can be used to influence the alignment procedure. The user can specify parts of the sequences that are biologically related to each other; our software program uses these sites as anchor points and creates a multiple alignment respecting these user-defined constraints. By using known functionally, structurally or evolutionarily related positions of the input sequences as anchor points, our method can produce alignments that reflect the true biological relationships among the input sequences more accurately than fully automated procedures can do.

Algorithms↗

Divergence of conserved non-coding sequences: rate estimates and relative rate tests.

In many eukaryotic genomes only a small fraction of the DNA codes for proteins, but the non-protein coding DNA harbors important genetic elements directing the development and the physiology of the organisms, like promoters, enhancers, insulators, and micro-RNA genes. The molecular evolution of these genetic elements is difficult to study because their functional significance is hard to deduce from sequence information alone. Here we propose an approach to the study of the rate of evolution of functional non-coding sequences at a macro-evolutionary scale. We identify functionally important non-coding sequences as Conserved Non-Coding Nucleotide (CNCN) sequences from the comparison of two outgroup species. The CNCN sequences so identified are then compared to their homologous sequences in a pair of ingroup species, and we monitor the degree of modification these sequences suffered in the two ingroup lineages. We propose a method to test for rate differences in the modification of CNCN sequences among the two ingroup lineages, as well as a method to estimate their rate of modification. We apply this method to the full sequences of the HoxA clusters from six gnathostome species: a shark, Heterodontus francisci; a basal ray finned fish, Polypterus senegalus; the amphibian, Xenopus tropicalis; as well as three mammalian species, human, rat and mouse. The results show that the evolutionary rate of CNCN sequences is not distinguishable among the three mammalian lineages, while the Xenopus lineage has a significantly increased rate of evolution. Furthermore the estimates of the rate parameters suggest that in the stem lineage of mammals the rate of CNCN sequence evolution was more than twice the rate observed within the placental amniotes clade, suggesting a high rate of evolution of cis-regulatory elements during the origin of amniotes and mammals. We conclude that the proposed methods can be used for testing hypotheses about the rate and pattern of evolution of putative cis-regulatory elements.

Animals↗

Molecular evolution of a microRNA cluster.

Many of the known microRNAs are encoded in polycistronic transcripts. Here, we reconstruct the evolutionary history of the mir17 microRNA clusters which consist of miR-17, miR-18, miR-19a, miR-19b, miR-20, miR-25, miR-92, miR-93, miR-106a, and miR-106b. The history of this cluster is governed by an initial phase of local (tandem) duplications, a series of duplications of entire clusters and subsequent loss of individual microRNAs from the resulting paralogous clusters. The complex history of the mir17 microRNA family appears to be closely linked to the early evolution of the vertebrate lineage.

Animals↗

Alignment of RNA base pairing probability matrices.

MOTIVATION: Many classes of functional RNA molecules are characterized by highly conserved secondary structures but little detectable sequence similarity. Reliable multiple alignments can therefore be constructed only when the shared structural features are taken into account. Since multiple alignments are used as input for many subsequent methods of data analysis, structure-based alignments are an indispensable necessity in RNA bioinformatics. RESULTS: We present here a method to compute pairwise and progressive multiple alignments from the direct comparison of base pairing probability matrices. Instead of attempting to solve the folding and the alignment problem simultaneously as in the classical Sankoff's algorithm, we use McCaskill's approach to compute base pairing probability matrices which effectively incorporate the information on the energetics of each sequences. A novel, simplified variant of Sankoff's algorithms can then be employed to extract the maximum-weight common secondary structure and an associated alignment. AVAILABILITY: The programs pmcomp and pmmulti described in this contribution are implemented in Perl and can be downloaded together with the example datasets from http://www.tbi.univie.ac.at/RNA/PMcomp/. A web server is available at http://rna.tbi.univie.ac.at/cgi-bin/pmcgi.pl

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Structural and evolutionary analysis of the transcribed sequence of Boudicca, a Schistosoma mansoni retrotransposon.

Boudicca is a gypsy-like, long terminal repeat (LTR) retrotransposon that has colonized the genome of the human blood fluke, Schistosoma mansoni. Previous studies have indicated that more than 1000 copies of Boudicca reside within the S. mansoni genome, although many of them may be degenerate and inactive. Messenger RNAs transcribed from genomic copies of Boudicca were investigated by reverse transcription PCR. Overlapping RT-PCR products corresponding to the gag and pol polyproteins of Boudicca, along with relevant sequences of genomic fragments of Boudicca, were assembled into contigs. Consensus sequences from these contigs were used to predict the sequence and structure of transpositionally active copies of the Boudicca retrotransposon. They verified that Boudicca has a kabuki-like Cys-His box motif at the active site of its gag protein, a classic DTG motif as the active site of the protease domain of the pol ORF2, and indicated a contiguous integrase domain at the C-terminus of pol with strong identity to integrase from the LTR retrotransposons CsRn1 and kabuki, as well as to the conserved integrase core domain, GenBank rve (). Models of the secondary structure of the Boudicca transcript suggested that the first AUG was occluded by a stem loop structure, which in turn suggested a method of regulation of expression, at the level of translation, of Boudicca proteins. In addition, phylogenetic analysis targeting discrete domains of Boudicca revealed a generalized radiation in sequences among the multiple copies of Boudicca resident in the schistosome genome.

Amino Acid Sequence↗