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Bioinformatics Algorithms and Predictive Models: The Grand Challenge in Computational Virology
(2021)
Never in the past has the relevance of bioinformatic and predictive tools been more central
in the field of virology as today. SARS-CoV-2 has brought along a huge health burden, but also
a deeper awareness that scientific progress can no longer be effective without extensive systems
for data storage, sharing and analysis, as well as computational tools dedicated to molecular
epidemiology, NGS data analysis, prediction of drug targets, multi-OMIC data integration, and
many other applications.
Although the nose, as a gateway for organism–environment interactions, may have a key role in asthmatic exacerbation, the rhinobiome of exacerbated children with asthma was widely neglected to date. The aim of this study is to understand the microbiome, the microbial immunology, and the proteome of exacerbated children and adolescents with wheeze and asthma. Considering that a certain proportion of wheezers may show a progression to asthma, the comparison of both groups provides important information regarding clinical and phenotype stratification. Thus, deep nasopharyngeal swab specimens, nasal epithelial spheroid (NAEsp) cultures, and blood samples of acute exacerbated wheezers (WH), asthmatics (AB), and healthy controls (HC) were used for culture (n = 146), 16 S-rRNA gene amplicon sequencing (n = 64), and proteomic and cytokine analyses. Interestingly, Proteobacteria were over-represented in WH, whereas Firmicutes and Bacteroidetes were associated with AB. In contrast, Actinobacteria commonly colonized HCs. Moreover, Staphylococcaceae, Enterobacteriaceae, Burkholderiaceae, Xanthobacteraceae, and Sphingomonadaceae were significantly more abundant in AB compared to WH and HC. The α-diversity analyses demonstrated an increase of bacterial abundance levels in atopic AB and a decrease in WH samples. Microbiome profiles of atopic WH differed significantly from atopic AB, whereby atopic samples of WH were more homogeneous than those of non-atopic subjects. The NAEsp bacterial exposure experiments provided a disrupted epithelial cell integrity, a cytokine release, and cohort-specific proteomic differences especially for Moraxella catarrhalis cultures. This comprehensive dataset contributes to a deeper insight into the poorly understood plasticity of the nasal microbiota, and, in particular, may enforce our understanding in the pathogenesis of asthma exacerbation in childhood.
The advances in high-throughput sequencing technologies have revolutionized the possibilities for pathogen identification in cases of unknown disease origin. Diagnostic metagenomics allows the unbiased and simultaneous detection of almost all nucleic acids in a clinical sample, with the potential to provide pivotal insights into otherwise undeterminable causes of human or animal disease.
In this thesis, possibilities, pitfalls and the suitability of Ion Torrent and Illumina sequencing platforms for comprehensive use in diagnostic metagenomics were assessed and optimized procedures developed. Clinical field samples, undiagnosable by standard diagnostics, were taken as real-life examples for the investigations. The results show that cross-contamination due to index swapping and run-to-run-carryover constitute a major issue on Illumina platforms, severely compromising the correct interpretation of results for clinical specimens. In contrast, Ion Torrent platforms did not display any form of cross-contamination, however, the commercial library preparation method is less efficient. Combining the advantages of both platforms, customized Y adapters, facilitating highly efficient library preparation, were developed for Ion Torrent sequencing and applied in further experiments. The obstacles of strongly degraded RNA in formalin-fixed paraffin-embedded samples were identified and the workflow adapted to meet the requirements of smaller fragments. Additionally, it was shown that adequate sampling is a very important step, if not the most important step, in the workflow, as well as subsequent validation of the obtained results in terms of causation. The achievements in this study allow other researchers the application of a sensitive and optimized diagnostic metagenomics workflow.
Furthermore, the investigations on the clinical samples resulted in the discovery of a novel respirovirus with putative zoonotic potential, the first description of Borna disease virus 1 in human organ transplant recipients, and the discovery of a very distantly related novel ovine picornavirus. These discoveries build a basis for further research and expand the knowledge regarding new and emerging viruses.