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- J-8841-2015 (1)
The sequencing of several ant genomes within the last six years open new research avenues for understanding not only the genetic basis of social species but also the complex systems such as immune responses in general. Similar to other social insects, ants live in cooperative colonies, often in high densities and with genetically identical or closely related individuals. The contact behaviours and crowd living conditions allow the disease to spread rapidly through colonies. Nevertheless, ants can efficiently combat infections by using diverse and effective immune mechanisms. However, the components of the immune system of carpenter ant Camponotus floridanus and also the factors in bacteria that facilitate infection are not well understood.
To form a better view of the immune repository and study the C. floridanus immune responses against the bacteria, experimental data from Illumina sequencing and mass-spectrometry (MS) data of haemolymph in normal and infectious conditions were analysed and integrated with the several bioinformatics approaches. Briefly, the tasks were accomplished in three levels. First, the C. floridanus genome was re-annotated for the improvement of the existing annotation using the computational methods and transcriptomics data. Using the homology based methods, the extensive survey of literature, and mRNA expression profiles, the immune repository of C. floridanus were established. Second, large-scale protein-protein interactions (PPIs) and signalling network of C. floridanus were reconstructed and analysed and further the infection induced functional modules in the networks were detected by mapping of the expression data over the networks. In addition, the interactions of the immune components with the bacteria were identified by reconstructing inter-species PPIs networks and the interactions were validated by literature. Third, the stage-specific MS data of larvae and worker ants were analysed and the differences in the immune response were reported.
Concisely, all the three omics levels resulted to multiple findings, for instance, re-annotation and transcriptome profiling resulted in the overall improvement of structural and functional annotation and detection of alternative splicing events, network analysis revealed the differentially expressed topologically important proteins and the active functional modules, MS data analysis revealed the stage specific differences in C. floridanus immune responses against bacterial pathogens.
Taken together, starting from re-annotation of C. floridanus genome, this thesis provides a transcriptome and proteome level characterization of ant C. floridanus, particularly focusing on the immune system responses to pathogenic bacteria from a biological and a bioinformatics point of view. This work can serve as a model for the integration of omics data focusing on the immuno-transcriptome of insects.
Development and application of computational tools for RNA-Seq based transcriptome annotations
(2019)
In order to understand the regulation of gene expression in organisms, precise genome annotation is essential. In recent years, RNA-Seq has become a potent method for generating and improving genome annotations. However, this Approach is time consuming and often inconsistently performed when done manually. In particular, the discovery of non-coding RNAs benefits strongly from the application of RNA-Seq data but requires significant amounts of expert knowledge and is labor-intensive. As a part of my doctoral study, I developed a modular tool called ANNOgesic that can detect numerous transcribed genomic features, including non-coding RNAs, based on RNA-Seq data in a precise and automatic fashion with a focus on bacterial and achaeal species. The software performs numerous analyses and generates several visualizations. It can generate annotations of high-Resolution that are hard to produce using traditional annotation tools that are based only on genome sequences. ANNOgesic can detect numerous novel genomic Features like UTR-derived small non-coding RNAs for which no other tool has been developed before. ANNOgesic is available under an open source license (ISCL) at https://github.com/Sung-Huan/ANNOgesic.
My doctoral work not only includes the development of ANNOgesic but also its application to annotate the transcriptome of Staphylococcus aureus HG003 - a strain which has been a insightful model in infection biology. Despite its potential as a model, a complete genome sequence and annotations have been lacking for HG003. In order to fill this gap, the annotations of this strain, including sRNAs and their functions, were generated using ANNOgesic by analyzing differential RNA-Seq data from 14 different samples (two media conditions with seven time points), as well as RNA-Seq data generated after transcript fragmentation. ANNOgesic was
also applied to annotate several bacterial and archaeal genomes, and as part of this its high performance was demonstrated. In summary, ANNOgesic is a powerful computational tool for RNA-Seq based annotations and has been successfully applied to several species.
Ionisierende Strahlung (IR) ist in der medizinischen Diagnostik und in der Tumortherapie von zentraler Bedeutung, kann aber Genominstabilität und Krebs auslösen. Strahleninduzierte Genominstabilität (RIGI) ist in den klonalen Nachkommen bestrahlter Zellen zu beobachten, die zugrundeliegenden Mechanismen sind jedoch noch unverstanden. Zur Erforschung von verzögerten Strahleneffekten wurden primäre embryonale Fibroblastenkulturen mit 2 Gray bestrahlt und für 20 Populationsverdopplungen klonal expandiert. Zellen, die keiner Strahlung ausgesetzt waren, dienten als Kontrolle für normale Alterungsprozesse. Die Klone wurden durch klassische Chromosomenbänderungstechniken analysiert und in Abhängigkeit der Stabilität ihres Genoms in Gruppen eingeteilt. Ein Klon wurde als stabil gewertet, wenn die analysierten Metaphasen keinerlei Auffälligkeiten zeigten, während instabile Klone ein Mosaik aus normalen und abnormalen Metaphasen waren. Die Zellen von zwei Spendern wurden untersucht, um interindividuelle Strahleneffekte zu beurteilen. Nach Bestrahlung hatten mehr als die Hälfte der Klone Metaphasen mit strukturellen Aberrationen und wurden dementsprechend als instabil eingestuft. Drei Klone zeigten zudem numerische Aberrationen, die ausschließlich das Y Chromosom betrafen. Fluoreszenz in situ Hybridisierungen verifizierten diese Beobachtung in weiteren Klonen und deuteten an, dass der Verlust des Y Chromosoms mit RIGI assoziiert ist.
Molekulare Karyotypisierungen mit SNP Arrays ergaben, dass IR in den Klonen Veränderungen der Kopienzahl auslöst. Ein Unterschied zwischen chromosomal stabilen und instabilen Klonen konnte jedoch nicht detektiert werden. Chromosomale Regionen, in denen sich bekanntermaßen fragile Stellen befinden, zeigten eine Anhäufung von CNVs. Ein RIGI Effekt konnte für die fragile Stelle 3B, in der sich das Gen FHIT befindet, identifiziert werden.
Exom Sequenzierungen von Klonen und der entsprechenden Massenkultur zeigten eine alterungsassoziierte Entstehung von Varianten. Der Effekt wurde durch die Einwirkung von Strahlung erhöht. Auf Ebene von einzelnen Nukleotiden konnten ebenfalls Anhäufungen von Schäden in bestimmten genomischen Bereichen detektiert werden, dieser Effekt ging ohne die typischen RIGI Endpunkte einher.
Die Ergebnisse der vorliegenden Arbeit zeigen, dass strahlenbedingte Veränderungen auf verschiedenen Ebenen (Chromosomen, Genkopienzahl und einzelnen Nukleotiden) beobachtet werden können, welche, unabhängig von RIGI, die Tumorentstehung begünstigen. Speziell Veränderungen im FRA3B Lokus und der Verlust des Y Chromosoms scheinen jedoch über die Destabilisierung des Genoms zur Krebsentstehung beizutragen.