Comparison of virulence genes found in draft genomes of F. necrophorum

Fusobacterium necrophorum is a causative agent of persistent sore throat syndrome, tonsillar abscesses and Lemierre’s syndrome (LS) in humans. LS is characterised by thrombophlebitis of the jugular vein and bacteraemia. It is a Gram-negative, anaerobic bacterium which to date has no available reference genome. Draft genomes suggest it to be a single circular chromosome of approximately 2.2Mb. A reference strain of each of the two F. necrophorum subspecies and a clinical isolate from a LS patient were sequenced on a Roche 454 GS-FLX+. Sequence data was assembled using Roche GS Assembler and the resulting contigs annotated using xBASE, Pfam and BLAST. The annotation data was mined for gene products associated with virulence revealing a leukotoxin, haemolysin, filamentous haemagglutinnin, adhesin, hemin receptor, phage genes, CRISPR-associated proteins, ecotin and a putative type V secretion system. Data will be presented on comparative genomics of the three strains, with a focus on putative virulence genes. Tools such as Artemis Comparison Tool and ClustalO were used for sequence alignments and PhyML was used to generate phylogenetic trees. Conserved motifs associated with virulence were also located. Understanding variations at the genomic level may help to explain the increased virulence of some F. necrophorum strains.

Image usefulness of compressed surveillance footage with different scene contents

The police use both subjective (i.e. police staff) and automated (e.g. face recognition systems) methods for the completion of visual tasks (e.g person identification). Image quality for police tasks has been defined as the image usefulness, or image suitability of the visual material to satisfy a visual task. It is not necessarily affected by any artefact that may affect the visual image quality (i.e. decrease fidelity), as long as these artefacts do not affect the relevant useful information for the task. The capture of useful information will be affected by the unconstrained conditions commonly encountered by CCTV systems such as variations in illumination and high compression levels. The main aim of this thesis is to investigate aspects of image quality and video compression that may affect the completion of police visual tasks/applications with respect to CCTV imagery. This is accomplished by investigating 3 specific police areas/tasks utilising: 1) the human visual system (HVS) for a face recognition task, 2) automated face recognition systems, and 3) automated human detection systems. These systems (HVS and automated) were assessed with defined scene content properties, and video compression, i.e. H.264/MPEG-4 AVC. The performance of imaging systems/processes (e.g. subjective investigations, performance of compression algorithms) are affected by scene content properties. No other investigation has been identified that takes into consideration scene content properties to the same extend. Results have shown that the HVS is more sensitive to compression effects in comparison to the automated systems. In automated face recognition systems, `mixed lightness' scenes were the most affected and `low lightness' scenes were the least affected by compression. In contrast the HVS for the face recognition task, `low lightness' scenes were the most affected and `medium lightness' scenes the least affected. For the automated human detection systems, `close distance' and `run approach' are some of the most commonly affected scenes. Findings have the potential to broaden the methods used for testing imaging systems for security applications.