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.

IMP: Imperial Metagenomics Pipeline for high-throughput sequence data

We have developed an in-house pipeline for the processing and analyses of sequence data generated during Illumina technology-based metagenomic studies of the human gut microbiota. Each component of the pipeline has been selected following comparative analysis of available tools; however, the modular nature of software facilitates replacement of any individual component with an alternative should a better tool become available in due course. The pipeline consists of quality analysis and trimming followed by taxonomic filtering of sequence data allowing reads associated with samples to be binned according to whether they represent human, prokaryotic (bacterial/archaeal), viral, parasite, fungal or plant DNA. Viral, parasite, fungal and plant DNA can be assigned to species level on a presence/absence basis, allowing – for example – identification of dietary intake of plant-based foodstuffs and their derivatives. Prokaryotic DNA is subject to taxonomic and functional analyses, with assignment to taxonomic hierarchies (kingdom, class, order, family, genus, species, strain/subspecies) and abundance determination. After de novo assembly of sequence reads, genes within samples are predicted and used to build a non-redundant catalogue of genes. From this catalogue, per-sample gene abundance can be determined after normalization of data based on gene length. Functional annotation of genes is achieved through mapping of gene clusters against KEGG proteins, and InterProScan. The pipeline is undergoing validation using the human faecal metagenomic data of Qin et al. (2014, Nature 513, 59–64). Outputs from the pipeline allow development of tools for the integration of metagenomic and metabolomic data, moving metagenomic studies beyond determination of gene richness and representation towards microbial-metabolite mapping. There is scope to improve the outputs from viral, parasite, fungal and plant DNA analyses, depending on the depth of sequencing associated with samples. The pipeline can easily be adapted for the analyses of environmental and non-human animal samples, and for use with data generated via non-Illumina sequencing platforms.