Diss. (sammanfattning) Göteborg : Göteborgs universitet, 2009. / Härtill 3 uppsatser.

Cladistic analyses of the interclass relationships of the phylum Echinodermata have not provided a phylogeny that is separately supported by both larval and adult characters. Similar to the reported incongruence with cladistic analyses, molecular analyses of ribosomal RNA (rRNA) genes have also given ambiguous results, which could be due to a number of factors. The use of short sequences, systematic errors such as long branch attraction, and mis-alignments of the data that are introduced by programs which are unsuitable for non-protein coding genes, have resulted in a controversy as to the true nature of echinoderm relationships. Historically, it is the position of the ophiuroids among the five extant classes of echinoderms that has been the most poorly understood, and the most recently published proposal is that there are three plausible relationships, albeit none of these are sufficiently supported. Re-analysis of 28S and 18S rRNA gene sequence data, with the addition of more phylogenetically informative sites as well as new taxa, the use of an alignment procedure that is based on rRNA secondary structure, and the testing of a myriad of evolutionary models have resulted in some new findings of ancestry. Interestingly, it is the phylogenetic position of the ophiuroids that proves to be among the more solid results from this analysis, while the historically supported sister group relationship between the echinoid and holothuroid classes are not greatly corroborated.

MicroRNAs are small noncoding RNAs that post-transcriptionally reduce protein output from most human mRNAs by mechanisms that are still obscure. This thesis provides insights into three aspects of microRNA biogenesis and function described below. MicroRNA precursors are excised from primary transcripts by the Microprocessor complex containing Drosha and DGCR8. Although most microRNAs are located in introns of protein-coding and noncoding genes, the mechanisms coordinating microprocessing and splicing are unclear. MiR-211 is a microRNA expressed from intron 6 of melastatin, a suspected melanoma tumor suppressor. We demonstrate that miR-211, and not melastatin, is responsible for the tumor suppressive function of this locus, that Drosha-mediated processing of the miR-211 precursor promotes splicing of melastatin exon 6-exon 7 junctions, and that perturbing 5' splice site recognition by the U1 snRNP reduces Drosha recruitment to intron 6 specifically and intronic microRNA levels globally. Thus we identify a novel physical and functional coupling between microprocessing and splicing. Typically, Agos stabilize mature microRNAs and as a complex stoichiometrically bind to complementary mRNAs. We demonstrate an alternative order of events in which Agos bind and repress pre-formed imperfect microRNA-mRNA duplexes in processing bodies of live cells, and cleave pre-formed perfect microRNA-mRNA duplexes in vitro. Our data support a novel catalytic model whereby Agos first deposit microRNAs onto mRNAs and dissociate, thus priming multiple microRNA-mRNA duplexes for concurrent repression by a single Ago. Despite key roles in development and pathogenesis, effectors and regulators of microRNA-mediated repression are still poorly characterized. An RNAi screen revealed that depletion of ribosomal proteins of either small or large ribosomal subunit dissociates microRNA-containing complexes from mRNAs repressed at translation initiation, increasing their polysome association, translation, and stability relative to untargeted mRNAs. Thus ribosomal proteins globally regulate microRNA function. Another RNAi screen revealed that Akt3 phosphorylates Ago2, which negatively regulates cleavage and positively regulates translational repression of microRNA-targeted mRNAs. Thus Ago2 phosphorylation is a molecular switch between its mRNA cleavage and translational repression activities. The following pages will place these novel insights into biological and disease-relevant context, will describe what was known prior to these studies, and will provide perspectives for future studies.

We describe the use of a tensor mode-1 higher-order singular value decomposition (HOSVD) in the analyses of alignments of 16S and 23S ribosomal RNA (rRNA) sequences, each encoded in a cuboid of frequencies of nucleotides across positions and organisms. This mode-1 HOSVD separates the data cuboids into combinations of patterns of nucleotide frequency variation across the positions and organisms, i.e., "eigenorganisms"' and corresponding nucleotide-specific segments of "eigenpositions," respectively, independent of a-priori knowledge of the taxonomic groups and their relationships, or the rRNA structures. We show that this mode-1 HOSVD provides a mathematical framework for modeling the sequence alignments where the mathematical variables, i.e., the significant eigenpositions and eigenorganisms, are consistent with current biological understanding of the 16S and 23S rRNAs. First, the significant eigenpositions identify multiple relations of similarity and dissimilarity among the taxonomic groups, some known and some previously unknown. Second, the corresponding eigenorganisms identify positions of nucleotides exclusively conserved within the corresponding taxonomic groups, but not among them, that map out entire substructures inserted or deleted within one taxonomic group relative to another. These positions are also enriched in adenosines that are unpaired in the rRNA secondary structure, the majority of which participate in tertiary structure interactions, and some also map to the same substructures. This demonstrates that an organism's evolutionary pathway is correlated and possibly also causally coordinated with insertions or deletions of entire rRNA substructures and unpaired adenosines, i.e., structural motifs which are involved in rRNA folding and function. Third, this mode-1 HOSVD reveals two previously unknown subgenic relationships of convergence and divergence between the Archaea and Microsporidia, that might correspond to two evolutionary pathways, in both the 16S and 23S rRNA alignments. This demonstrates that even on the level of a single rRNA molecule, an organism's evolutionary pathway is composed of different types of changes in structure in reaction to multiple concurrent evolutionary forces. / text

Many viruses can produce multiple proteins from a single mRNA sequence by encoding the proteins in overlapping genes. One mechanism that causes the ribosomes of infected cells to decode both genes is –1 programmed ribosomal frameshifting. In this process, structural elements of the viral mRNA signal the ribosome to shift reading frames at a specific point. Although –1 frameshifting has been recognized since 1985, the mechanism is not well understood. I have developed a stochastic model of mRNA translation that includes the possibility of a –1 frameshift at any codon. The transition probabilities between states of the model are based on the energetics of local molecular interactions. The model reproduces observed translation rates as well as both the location and efficiency of frameshift events in the HIV-1 gag-pol sequence. In this work, the model is used to predict changes in the frameshift efficiency due to mutations in the viral mRNA sequence or variations in relative tRNA abundances. The model is sensitive to the size of the translating ribosome and to assumptions about the unfolding pathway of the stimulatory structure. As knowledge in the field of RNA structure prediction grows, that knowledge can be incorporated into the model developed here to make improved predictions. The single-ribosome translation model has been extended to polysomes by including initiation and termination rates and an exclusion principle, and allowing the stimulatory structure to refold on an appropriate timescale. The predicted frameshift efficiency for a given mRNA can be tuned by varying the ribosome density on the mRNA. This finding affects the interpretation of frameshift efficiencies measured in the lab. In the parameter regime where translation is initiation-limited, the frameshift efficiency also depends on the structure refolding rate, which determines the availability of the downstream structure for stimulating –1 frameshifts. Furthermore, there is a trade-off between frameshift efficiency and protein synthesis rate.

Fluorescence-based techniques are widely used in bioscience, offering a high sensitivity and versatility. In this work, fluorescence electronic energy migration/ transfer is applied to measure intramolecular distances in two types of systems and under various conditions. The main part of the thesis utilizes the process of donor-acceptor energy transfer to probe distances within the ribosomal protein S16. Proteins are essential to all organisms. Therefore, it is of great interest to study protein structure and function in order to understand and prevent protein malfunction. Moreover, it is also important to try to study the proteins in an environment which resembles its natural habitat. Here two protein homologs were investigated; S16Thermo and S16Meso, isolated from a hyperthemophilic bacterium and a mesophilic bacterium, respectively. It was concluded that the chemically induced unfolded state ensemble of S16Thermo is more compact than the corresponding ensemble of S16Meso. This unfolded state compaction may be one reason for the increased thermal stability of S16Thermo as compared to S16Meso. The unfolded state of S16 was also studied under highly crowded conditions, mimicking the environment found in cells. It appears that a high degree of crowding, induced by 200 mg/mL dextran 20, forces the unfolded state ensemble of S16Thermo to become even more compact. Further, intramolecular distances in the folded state of five S16 mutants were investigated upon increasing amounts of dextran 20. We found that the probed distances in S16Thermo are unaffected by increasing degree of crowding. However, S16Meso shows decreasing intramolecular distances for all three studied variants, up to 100 mg/mL dextran. At higher concentrations, the change in distance becomes anisotropic. This suggests that marginally stable proteins like s16Meso may respond to macromolecular crowding by fine-tuning its structure. More stable proteins like S16Thermo however, show no structural change upon increasing degree of crowding. We also investigated the possibility of local specific interactions between the protein and crowding agent, by means of fluorescence quenching experiments. Upon increasing amounts of a tyrosine labelled dextran, a diverse pattern of fluorescence quantum yield and lifetime suggests that specific, local protein-crowder interactions may occur. In a second studied system, electronic energy migration between two donor-groups, separated by a rigid steroid, was studied by two-photon excitation depolarization experiments. Data were analysed by using recent advances, based on the extended Förster theory, which yield a reasonable value of the distance between the two interacting donor-groups. To the best of our knowledge, this is the first quantitative analysis of energy migration data, obtained from two-photon excited fluorescence.

The human ribosomal RNA genes are critically important for cell metabolism and viability. They code for the catalytic RNAs which, encased in a housing of more than 80 ribosomal proteins, link together amino acids by peptide bonds to generate all cellular proteins. Because the RNAs are not repeatedly translated, as is the case with messenger RNAs, multiple copies are required. The genes which code for the human ribosomal RNAs (rRNAs) are arranged as clusters of tandemly repeated sequences. Three of four catalytic RNAs are spliced from a single transcript. The genes are located on the short arms of the five acrocentric chromosomes (13, 14, 15, 21, and 22). The genes for the fourth rRNA are on chromosome 1q42, also arranged as a cluster of tandem repeats. The repeats are extremely similar in sequence, which makes them ideal for misalignment, non‐allelic homologous recombination (NAHR), and genomic destabilization during meiosis , replication, and damage repair. In this dissertation, I have used pulse‐field gel electrophoresis and in‐blot Southern hybridization to explore the physical structure of the human rRNA genes and determine their stability and heritability in normal, healthy individuals. I have also compared their structure in solid tumors compared to normal, healthy tissue from the same patient to determine whether dysregulated homologous recombination is an important means of genomic destabilization in cancer progression. Finally, I used the NCI‐60 panel of human cancer cell lines to compare the results from the pulsed‐field analysis, now called the gene cluster instability (GCI) assay, to two other indicators of homologous‐recombination-mediated genomic instability: sister chromatid exchange, and 5‐hydroxymethyl‐2’deoxyuridine sensitivity.

In Saccharomyces cerevisiae, the telomeres and rDNA repeats are repetitive silent chromatin domains that are tightly regulated to maintain silencing and genome stability. Disruption of the Cohibin complex, which maintains rDNA silencing and stability, also abrogates telomere localization and silencing. Cohibin-deficient cells have decreased Sir2 localization at telomeres, and restoring telomeric Sir2 concentrations rescues the telomeric defects observed in Cohibin-deficient cells. Genetic and molecular interactions suggest that Cohibin clusters telomeres to the nuclear envelope by binding inner nuclear membrane proteins. Futhermore, telomeric and rDNA sequences can form G-quadruplex structures. G-quadruplexes are non-canonical DNA structures that have been linked to processes affecting chromosome stability. Disruption of the G-quadruplex stabilizing protein Stm1, which also interacts with Cohibin, increases rDNA stability without affecting silent chromatin formation. In all, our findings have led to the discovery of new processes involved in the maintenance of repetitive silent chromatin domains that may be conserved across eukaryotes.

Aspergillus fumigatus is a foodborne and airborne human pathogen which produces mycotoxins such as gliotoxin, helvolic acid, fumigallin, and fumigaclavin. The most common disease caused by A. fumigatus is aspergillosis, which is often fatal, especially among AIDS, cancer, and organ-transplant patients. In this study, random cDNA cloning was performed from a cDNA library of A. fumigatus (IMI 385708) constructed on &amp / #955 / ZAP Express. Some of these clones were selected according to their insert sizes and were further subjected to sequence analysis. The sequences were then analyzed by a BLAST search (NCBI Genome Database) to determine the possible functions of these genes. Two of the clones were identified as the primase and 60S ribosomal protein L1-b genes. These genes and a third gene corresponding to the antigenic cell wall galactomannoprotein gene of A. fumigatus were used for the design of three distinct primer pairs. For the primer design, a software was written to differentiate nonconserved regions by multiple sequence alignment. Designed primers were employed in PCR experiments against genomic DNAs of different Aspergillus species. Unique bands were obtained only against A. fumigatus genomic DNA. It was concluded that this PCR-based detection method can be further developed for the rapid detection of A. fumigatus spores from air and food samples.

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