Ancestral environmental conditions can instruct offspring development, although the mechanism(s) underlying such transgenerational epigenetic inheritance is unclear. In murine models focused on paternal dietary effects, we and others have identified tRNA fragments (tRFs) in mature sperm as potential carriers of epigenetic information. In our search for molecular targets of specific tRFs, we observed that altering the level of 5’-tRF Glycine-GCC (tRF-GG) in mouse embryonic stem cells (mESCs) and preimplantation embryos modulates the expression of the endogenous retrovirus MERV-L and genes regulated by MERV-L. Intriguingly, transient derepression of MERV-L is associated with totipotency of two-cell stage embryos and a subset of two-cell-like mESCs. Here, I reveal the mechanistic basis for tRF-GG regulation of MERV-L. I show that tRF-GG supports the production of numerous small nuclear RNAs associated with the Cajal body, in mouse and human embryonic stem cells. In particular, tRF-GG modulates the levels of U7 snRNA to ensure an adequate supply of histone proteins. This in turn safeguards heterochromatin-mediated transcriptional repression of MERV-L elements. Importantly, tRF-GG effects on histone mRNA levels, activity of a histone 3’UTR reporter, and expression of MERV-L associated transcripts can all be suppressed by appropriate manipulation of U7 RNA levels. I also show that hnRNPF and H bind directly to tRF-GG, and display a stark overlap of in vivo functions to tRF-GG. Together, this data uncovers a conserved mechanism for a 5’ tRNA fragment in the fine-tuning of a regulatory cascade to modulate global chromatin organization during pre-implantation development.

No description available.

Recently, the pace of growth in the amount of data sources within Life Sciences has increased exponentially until pose a difficult problem to efficiently manage their integration. The data avalanche we are experiencing may be significant for a turning point in science, with a change of orientation from proprietary to publicly available data and a concomitant acceptance of studies based on the latter. To investigate these issues, a Network of Excellence (EMBRACE) was launched with the aim to integrate the major databases and the most popular bioinformatics software tools. The focus of this thesis is therefore to approach the problem of seamlessly integrating varied data sources and/or distributed research tools. In paper I, we have developed a web service to facilitate allergenicity risk assessment, based on allergen descriptors, in order to characterize proteins with the potential for sensitization and cross-reactivity. In paper II, a web service was developed which uses a lightweight protocol to integrate human endogenous retrovirus (ERV) data within a public genome browser. This new data catalogue and many other publicly available sources were integrated and tested in a bioinformatics-rich client application. In paper III, GeneFinder, a distributed tool for genome-wide association studies, was developed and tested. Useful information based on a particular genomic region can be easily retrieved and assessed. Finally, in paper IV, we developed a prototype pipeline to mine the dog genome for endogenous retroviruses and displaying the transcriptional landscape of these retroviral integrations. Moreover, we further characterized a group that until this point was believed to be primate-specific. Our results also revealed that the dog has been very effective in protecting itself from such integrations. This work integrates different applications in the fields of protein allergology, biotechnology, genome association studies and endogenous retroviruses. / EMBRACE NoE EU FP6

In my doctoral project, I studied the evolution of retroviruses and long-term interactions with their hosts. Retroviruses infect a broad range of species including possibly all vertebrates. They are unique in their ability to efficiently create endogenous retroviruses (ERVs) - viral copies integrated into the host genomes and consequently inherited by successive generations as usual genomic locus. ERVs represent a significant portion of vertebrate genomes and play an important role in a variety of cellular processes and pathologies; however, their sequences are still largely unexplored. The results of my work contributed to the uncovering of ancient evolutionary history of retroviruses. In this regard, I employed the ERV sequences, as they represent "genetic fossils" of viral infections that occurred throughout entire retroviral evolution. By discovery and analysis of ancient ERV lineages, I shed light on the deep history of retroviruses and revealed how the past infections shaped the evolution of vertebrate antiviral defense. In addition to the investigation of retroviral evolution, I also studied process of ongoing endogenization and fixation of newly emerged ERVs in a mammalian host population. In this part of my work, I focused on a unique model of ERV that have been recently invading mule deer genome.

No description available.

Pollen spectra found in sediments enable the research of quantitative changes in vegetation composition in the past. The fact is conditioned upon assumption of unchangeable linear relationship between abundance of pollen and the vegetation that is responsible for its production. Calibration of this relationship is experimentally performed on modern pollen samples and current vegetation. Relative pollen produktivity etimates (PPEs) represents basic parameters for the conversion of proportional pollen data into the vegetational ones. Their knowledge is indispensible for the quantitative vegetation restoration and for the simulating of the processes of pollen dispersion and deposition. PPEs estimation is performed by ERV model which corrects nonlinear relationship of proportional pollen and vegetation data back to the linear relationship. ERV model estimates PPEs values together with values of pollen background by maximum likelihood method. Knowledge of PPEs of main tree species is crucial for the understanding of processes which takes place on the level of landscape scale. Model area of Křivoklátsko was selected due to its high forest coverage and tree diversity. Twenty-four localities were chosen upon stratified random selection. Moss polsters containing modern pollen loading were taken and detailed...

An exogenous retrovirus (XRV) that integrates into a germ cell may be inherited as a Mendelian gene; it becomes an endogenous retrovirus (ERV). The human genome consists of up to 8% HERVs. The gammaretroviral (ERV class I) HERV-H, with 926 members, is the largest ERV group. Despite millions of years since integration, it has polymorphic envelope open reading frames in at least three loci. Selections for functional envelopes are indicated on chromosomes 1 and 2. However, envelopes were present only in a fraction of the total HERV-H. Mutated polymerases, indicating old ERVs, contradicted relatively intact long terminal repeats. To explain this, we formulated a “Midwife” element theory where proteins are complemented in trans. A phylogenetic analysis did not support separate HERV-H and -F groups. The new taxonomy included HERV-H like (RGH2-like and RTVLH2-like subgroups) and Adjacent HERV-H like. A bioinformatic reconstruction of a putative ancestral HERV-H exposed novel traits. Two nucleocapsid zinc fingers and a pronounced nucleotide bias for C in the HERV-H like were unique among the gammaretroviruses. Two recently integrated gammaretroviral groups (PtNeo-I[PTERV1] and -II) were found in chimpanzees but not in humans. The PtNeo groups were most similar to baboon ERVs and a macaque sequence, but neither to other chimpanzee nor to any human gammaretroviruses. The pattern was consistent with cross-species transfer via predation. To advance the retroviral taxonomy, we projected structural markers over sequence phylogenetic trees. A number of markers were useful to distinguish between genera and to delineate groups. Basic retroviral knowledge is vital to understand emerging infections. Phylogenetic analyses of taxonomically improved sequences, facilitates the search for common retroviral denominators to target. This thesis provided new insights in retroviral evolution and taxonomy using the ERVs, with special focus on the large gammaretroviral HERV-H group, as an additional source of information next to that of XRVs.