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Next Generation Sequencing (NGS)-technologies developed very fast in recent years and is used widely in current research areas. The aim of this study was to use NGS (i) for the identification of pathogens in outbreaks and (ii) for the identification of virulence-relevant sequencepolymorphisms when comparing whole genome sequences. Therefore, a previous developed workflow was used to identify a new virus of the family Bornaviridae. The generation of whole genome sequences elucidated the molecular epidemiological connection of infection of variegated squirrels (Sciurus variegatoides) and three human cases of fatal encephalitis. By generating the whole genome sequence of a Porcine Epidemic Diarrhea Virus (PEDV) in Germany it was possible to find difference compared to circulating high virulent strains in the USA. This led to potential virulence marker to distinguish strain in the USA and Germany. Connections between sequence variation and virulence were further investigated for the bovine viral diarrhea virus 2c (BVDV-2c), cowpox viruses (CPXV) and classical swine fever virus (CSFV). Here, for a highly virulent BVDV-2c strain a mixture of different genome structure variants could be found. The majority of these genomes harbors a duplication within the p7/NS2 coding region and might cause a high virulence. For CPXV virus isolated of different hosts were analyzed and a correlation between genome sequence and the A-type inclusion body phenotype could be found. Furthermore, several deletion/insertion events were detected which might influence the virulence of these strains. Finally, the virus population of CSFV strains in pigs was characterized. However, the population of the inoculum as well as of acute-lethal and chronically infected animals gave no indication that the virus itself causes the different types of disease outcome. In conclusion, this thesis shows the great potential of NGS for virus identification and characterization. Furthermore, it makes the identification of potential virulence marker possible which subsequently can be analyzed by reverse genetics.
The virosphere comprises all known and unknown viruses in our ecosystems. Advanced sequencing technologies in combination with metagenomic analysis have become a key tool for exploring this global diversity of viruses. However, discovery of novel viruses and comparative analyses are often based on small sequence fragments or lack biological context, which restricts a proper classification. In this study advanced genomic methods were used that included comprehensive knowledge of viral genomes along with supporting biological metadata in order to identify and classify viruses at different levels of genetic relationships. In a first example, the genetic background of vaccine-induced rabies cases was revealed by analyzing and comparing the genetic diversity of viral populations. Furthermore, the fundament for a taxonomic reclassification of orthopoxviruses was established on basis of a wide scale genomic analysis. In addition, novel neurotropic mamastroviruses from sheep and cattle were classified as members of a single species that provided evidence of interspecies transmission. Finally, two putative novel species of alphaherpesviruses and orthopoxviruses were identified. These examples are based on field cases that provide substantial corresponding clinical metadata and information of host-pathogen interactions. The analyses, therefore, puts taxonomic classification into biological and epidemiological context, rather than addressing generic phylogenetic relationships. Furthermore, the presented work demonstrates that a universal approach for virus classification is neither feasible nor reasonable as analyses must be adjusted the nature of the addressed virus. All results with impact on the current taxonomic classification will be or are already reported to the International Committee on Taxonomy of Viruses. In conclusion, this thesis contributed to the classification concepts of viruses and expanded the knowledge of virosphere diversity.