Please use this identifier to cite or link to this item:
Title: Nasonia Vitripennis: An Emerging Model Organism for Chronobiology
Authors: Davies, Nathaniel Jude
Supervisors: Tauber, Eran
Award date: 16-May-2017
Presented at: University of Leicester
Abstract: The circadian clock co-ordinates a wide range of biological processes in animals and as such has implications for a range of research topics, including human disease. Recent research has shown that Drosophila, the most widely used insect clock model, may be somewhat esoteric, suggesting that other insects may make more suitable models. The work presented in this thesis advances the jewel wasp Nasonia vitripennis as a model for circadian research. Firstly, the response of the Nasonia circadian clock to temperature was characterised, revealing the presence of a temperature compensation mechanism more strict in constant darkness than in constant light. This work was followed up by the profiling of the circadian transcriptome in Nasonia in both of these constant conditions. This work revealed fundamental differences in the dynamics of circadian transcription between Drosophila and Nasonia, as well as identifying temporal separation of biological function in the wasp, most notably of anabolic and catabolic processes. Secondly, conserved upstream non-coding sequences were identified and analysed, shedding light on the mechanisms of transcriptional and translational control in Nasonia. This analysis revealed conservation of the regulatory elements which control regulatory genes, indicating the presence of conserved regulatory cascades. This work also reports the identification and analysis of conserved regulatory mechanisms in RNA, including conserved secondary structures, carrying implications outside of chronobiology. Thirdly and finally, a gene-focused database was created for Nasonia to facilitate such research. Genome annotation data was processed and combined with functional data from published RNA-seq and microarray datasets, along with the original analysis of a genome-wide DNA methylation dataset, and the implementation of several tools.
Type: Thesis
Level: Doctoral
Qualification: PhD
Rights: Copyright © the author. All rights reserved.
Appears in Collections:Leicester Theses
Theses, Dept. of Genetics

Files in This Item:
File Description SizeFormat 
2017daviesnjphd.pdfThesis8.5 MBAdobe PDFView/Open

Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.