BackgroundNumerous cancers have been linked to microorganisms. Given that colorectal cancer is a leading cause of cancer deaths and the colon is continuously exposed to a high diversity of microbes, the relationship between gut mucosal microbiome and colorectal cancer needs to be explored. Metagenomic studies have shown an association between Fusobacterium species and colorectal carcinoma. Here, we have extended these studies with deeper sequencing of a much larger number (n = 130) of colorectal carcinoma and matched normal control tissues. We analyzed these data using co-occurrence networks in order to identify microbe-microbe and host-microbe associations specific to tumors.ResultsWe confirmed tumor over-representation of Fusobacterium species and observed significant co-occurrence within individual tumors of Fusobacterium, Leptotrichia and Campylobacter species. This polymicrobial signature was associated with over-expression of numerous host genes, including the gene encoding the pro-inflammatory chemokine Interleukin-8. The tumor-associated bacteria we have identified are all Gram-negative anaerobes, recognized previously as constituents of the oral microbiome, which are capable of causing infection. We isolated a novel strain of Campylobacter showae from a colorectal tumor specimen. This strain is substantially diverged from a previously sequenced oral Campylobacter showae isolate, carries potential virulence genes, and aggregates with a previously isolated tumor strain of Fusobacterium nucleatum.ConclusionsA polymicrobial signature of Gram-negative anaerobic bacteria is associated with colorectal carcinoma tissue.

The human leukocyte antigen (HLA) is key to many aspects of human physiology and medicine. All current sequence-based HLA typing methodologies are targeted approaches requiring the amplification of specific HLA gene segments. Whole genome, exome and transcriptome shotgun sequencing can generate prodigious data but due to the complexity of HLA loci these data have not been immediately informative regarding HLA genotype. We describe HLAminer, a computational method for identifying HLA alleles directly from shotgun sequence datasets (http://www.bcgsc.ca/platform/bioinfo/software/hlaminer). This approach circumvents the additional time and cost of generating HLA-specific data and capitalizes on the increasing accessibility and affordability of massively parallel sequencing.

Despite numerous studies on the function of Ly49 natural killer cell receptors in the mouse, relatively little is known about how these genes are regulated at the transcriptional level. In the present study, we sequenced and compared 800 bp of the promoter region of nine Ly49 genes from C57B1/6 mice. This comparison showed that there is a high degree of sequence identity between the genes, and also revealed a region which is conserved between the mouse genes and the human Ly49L gene, indicating a potential core promoter region. This analysis also found that Ly49B and H differ from the other genes in having long interspersed repetitive sequence in their promoter region which suggests a gene conversion or rearrangement involving these two genes. In addition, we performed 5' rapid amplification of cDNA ends on four Ly49 genes to localize transcriptional start sites. These experiments showed that the transcriptional initiation sites are heterogeneous for all of the genes examined, and that a large majority of Ly49G transcripts originate from the second exon as well as its first intron. Although potential TATA boxes have been previously identified for some of the genes, we did not find evidence that a majority of transcripts initiate at the expected distance downstream of these boxes. Our data suggest that differences in the location of transcriptional start sites contribute to the observed complexity in receptor repertoire patterns.