U12 type introns were lost at multiple occasions during evolution

<p>Abstract</p> <p>Background</p> <p>Two categories of introns are known, a common U2 type and a rare U12 type. These two types of introns are removed by distinct spliceosomes. The phylogenetic distribution of spliceosomal RNAs that are characteristic of the U12 spliceosome, i.e. the U11, U12, U4atac and U6atac RNAs, suggest that U12 spliceosomes were lost in many phylogenetic groups. We have now examined the distribution of U2 and U12 introns in many of these groups.</p> <p>Results</p> <p>U2 and U12 introns were predicted by making use of available EST and genomic sequences. The results show that in species or branches where U12 spliceosomal components are missing, also U12 type of introns are lacking. Examples are the choanoflagellate <it>Monosiga brevicollis</it>, <it>Entamoeba histolytica</it>, green algae, diatoms, and the fungal lineage Basidiomycota. Furthermore, whereas U12 splicing does not occur in <it>Caenorhabditis elegans</it>, U12 introns as well as U12 snRNAs are present in <it>Trichinella spiralis</it>, which is deeply branching in the nematode tree. A comparison of homologous genes in <it>T. spiralis </it>and <it>C. elegans </it>revealed different mechanisms whereby U12 introns were lost.</p> <p>Conclusions</p> <p>The phylogenetic distribution of U12 introns and spliceosomal RNAs give further support to an early origin of U12 dependent splicing. In addition, this distribution identifies a large number of instances during eukaryotic evolution where such splicing was lost.</p

Zebrafish as a model to study live mucus physiology

Dysfunctional mucus barriers can result in important pulmonary and gastrointestinal conditions, but model systems to study the underlying causes are largely missing. We identified and characterized five mucin homologues in zebrafish, and demonstrated a strategy for fluorescence labeling of one selected mucin. These tools can be used for in vivo experiments and in pharmacological and genetic screens to study the dynamics and mechanisms of mucosal physiology.National Institute of Environmental Health Sciences (Grant P30-ES002109)Johnson & Johnson. Corporate Office of Science and TechnologyNational Institutes of Health (U.S.) (Grant CA106416)Kathy and Curt Marble Cancer Research FundDavid H. Koch Institute for Integrative Cancer Research at MIT (Zebrafish Core Facility

The tmRDB and SRPDB resources

Maintained at the University of Texas Health Science Center at Tyler, Texas, the tmRNA database (tmRDB) is accessible at the URL with mirror sites located at Auburn University, Auburn, Alabama () and the Royal Veterinary and Agricultural University, Denmark (). The signal recognition particle database (SRPDB) at is mirrored at and the University of Goteborg (). The databases assist in investigations of the tmRNP (a ribonucleoprotein complex which liberates stalled bacterial ribosomes) and the SRP (a particle which recognizes signal sequences and directs secretory proteins to cell membranes). The curated tmRNA and SRP RNA alignments consider base pairs supported by comparative sequence analysis. Also shown are alignments of the tmRNA-associated proteins SmpB, ribosomal protein S1, alanyl-tRNA synthetase and Elongation Factor Tu, as well as the SRP proteins SRP9, SRP14, SRP19, SRP21, SRP54 (Ffh), SRP68, SRP72, cpSRP43, Flhf, SRP receptor (alpha) and SRP receptor (beta). All alignments can be easily examined using a new exploratory browser. The databases provide links to high-resolution structures and serve as depositories for structures obtained by molecular modeling

Helicobacter suis binding to carbohydrates on human and porcine gastric mucins and glycolipids occurs via two modes

Helicobacter suis colonizes the stomach of most pigs and is the most prevalent non-Helicobacter pylori Helicobacter species found in the human stomach. In the human host, H. suis contributes to the development of chronic gastritis, peptic ulcer disease and MALT lymphoma, whereas in pigs it is associated with gastritis, decreased growth and ulcers. Here, we demonstrate that the level of H. pylori and H. suis binding to human and pig gastric mucins varies between individuals with species dependent specificity. The binding optimum of H. pylori is at neutral pH whereas that of H. suis has an acidic pH optimum, and the mucins that H. pylori bind to are different than those that H. suis bind to. Mass spectrometric analysis of mucin O-glycans from the porcine mucin showed that individual variation in binding is reflected by a difference in glycosylation; of 109 oligosaccharide structures identified, only 14 were present in all examined samples. H. suis binding to mucins correlated with glycans containing sulfate, sialic acid and terminal galactose. Among the glycolipids present in pig stomach, binding to lactotetraosylceramide (Gal beta 3GlcNAc beta 3Gal beta 4Glc beta 1Cer) was identified, and adhesion to Gal beta 3GlcNAc beta 3Gal beta 4Glc at both acidic and neutral pH was confirmed using other glycoconjugates. Together with that H. suis bound to DNA (used as a proxy for acidic charge), we conclude that H. suis has two binding modes: one to glycans terminating with Gal beta 3GlcNAc, and one to negatively charged structures. Identification of the glycan structures H. suis interacts with can contribute to development of therapeutic strategies alternative to antibiotics

Computational screen for spliceosomal RNA genes aids in defining the phylogenetic distribution of major and minor spliceosomal components

The RNA molecules of the spliceosome are critical for specificity and catalysis during splicing of eukaryotic pre-mRNA. In order to examine the evolution and phylogenetic distribution of these RNAs, we analyzed 149 eukaryotic genomes representing a broad range of phylogenetic groups. RNAs were predicted using high-sensitivity local alignment methods and profile HMMs in combination with covariance models. The results provide the most comprehensive view so far of the phylogenetic distribution of spliceosomal RNAs. RNAs were predicted in many phylogenetic groups where these RNA were not previously reported. Examples are RNAs of the major (U2-type) spliceosome in all fungal lineages, in lower metazoa and many protozoa. We also identified the minor (U12-type) spliceosomal U11 and U6atac RNAs in Acanthamoeba castellanii, where U12 spliceosomal RNA as well as minor introns were reported recently. In addition, minor-spliceosome-specific RNAs were identified in a number of phylogenetic groups where previously such RNAs were not observed, including the nematode Trichinella spiralis, the slime mold Physarum polycephalum and the fungal lineages Zygomycota and Chytridiomycota. The detailed map of the distribution of the U12-type RNA genes supports an early origin of the minor spliceosome and points to a number of occasions during evolution where it was lost

RNAcentral: A vision for an international database of RNA sequences

During the last decade there has been a great increase in the number of noncoding RNA genes identified, including new classes such as microRNAs and piRNAs. There is also a large growth in the amount of experimental characterization of these RNA components. Despite this growth in information, it is still difficult for researchers to access RNA data, because key data resources for noncoding RNAs have not yet been created. The most pressing omission is the lack of a comprehensive RNA sequence database, much like UniProt, which provides a comprehensive set of protein knowledge. In this article we propose the creation of a new open public resource that we term RNAcentral, which will contain a comprehensive collection of RNA sequences and fill an important gap in the provision of biomedical databases. We envision RNA researchers from all over the world joining a federated RNAcentral network, contributing specialized knowledge and databases. RNAcentral would centralize key data that are currently held across a variety of databases, allowing researchers instant access to a single, unified resource. This resource would facilitate the next generation of RNA research and help drive further discoveries, including those that improve food production and human and animal health. We encourage additional RNA database resources and research groups to join this effort. We aim to obtain international network funding to further this endeavor

Combination of Reverse and Chemical Genetic Screens Reveals Angiogenesis Inhibitors and Targets

We combined reverse and chemical genetics to identify targets and compounds modulating blood vessel development. Through transcript profiling in mice, we identified 150 potentially druggable microvessel-enriched gene products. Orthologs of 50 of these were knocked down in a reverse genetic screen in zebrafish, demonstrating that 16 were necessary for developmental angiogenesis. In parallel, 1280 pharmacologically active compounds were screened in a human cell-based assay, identifying 28 compounds selectively inhibiting endothelial sprouting. Several links were revealed between the results of the reverse and chemical genetic screens, including the serine/threonine (S/ T) phosphatases ppp1ca, ppp1cc, and ppp4c and an inhibitor of this gene family; Endothall. Our results suggest that the combination of reverse and chemical genetic screens, in vertebrates, is an efficient strategy for the identification of drug targets and compounds that modulate complex biological systems, such as angiogenesis