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Title: Application of multiplex detection assays as frontline tools in the investigation of pathogenic viral disease
Author: Shah , Sonal
ISNI:       0000 0004 6351 9774
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 2015
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In the past decade, cross-species transmission of zoonotic pathogens from wild bird reservoirs has increased the emergence of new viruses, largely as a consequence of growth in intensive poultry farming and small free range holdings. The genetic diversity of viruses has most likely evolved in parallel leading to emergence of new virus variants. Early detection of such pathogens through active monitoring of their host reservoirs would greatly assist in early detection and implementation of control strategies. Current front line investigative tools face drawbacks with their wider availability or are limited in their scope to detect novel viruses. To address these shortcomings, a low cost, user-friendly avian viral array was developed in this study. The study applied novel probe design and target labelling approaches to increase sensitivity and accommodate detection of all known avian viruses in a miniaturised array. Sensitivity and specificity of the array was also evaluated using virus isolates and known clinical samples. In addition, the array was applied successfully to detect a novel avian reovirus in diseased swans. Furthermore, attempts were made to reduce running costs of an existing pan viral array by reducing reagent usage, turnaround time and re-use of microarray slides. The array was also assessed for its sensitivity and applied to investigate several viral disease outbreaks, where it was proven to be valuable in detecting viral co-infections in diseased pig lungs. Finally, next generation sequencing (NGS), as a sequence independent detection platform was applied for the detection and characterisation of a novel swan reovirus. In conclusion, the multiplex detection platforms described here attested to be valuable as front line investigative tools. However, the use of these platforms for the aforesaid purpose should also be considered alongside traditional detection assays to maximise capture of novel viruses.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available