Project description:Background: Germ-free or axenic organisms are valuable tools for studying immunity, digestion, and development in different hosts. Although most of these studies have been conducted on mice, recently, germ-free invertebrate models (e.g. Drosophila and Apis) are used due to their easy husbandry, low cost for production, maintenance and the high number of individuals per generation they produce. However, a limitation of using these insects is the simple bacterial community present in their guts. The gut of the American cockroach Periplaneta americana displays a complex gut bacterial community composed of hundreds of species. Using P. americana, we developed a germ-free omnivorous invertebrate model to investigate how gut bacteria stimulate and shape normal gut development and metabolism. To determine if the insect host is directly affected by the presence of specific members of their bacterial community, gnotobiotic cockroaches were generated by inoculating a set of various P. americana gut-endemic Gram-negative (Bacteroidetes; n=11) and Gram-positive (Firmicutes; n=2) bacterial strains into germ-free insects. Additionally, we were able to recover the ‘normal’ bacterial-induced gut phenotype by co-housing germ-free cockroaches with wildtype P. americana to produce gut-bacteria conventionalized insects. Changes in gene expression profiles from two distinct regions (midgut and hindgut) of P. americana guts were quantified by RNA-Seq analysis of the germfree, gnotobiotic and conventionalized insects. Basic transcriptomics description: High-resolution transcriptome profiling of germ-free, gnotobiotic, and conventionalized treated P. americana midgut and hindguts. Ca. 43 million reads were obtained for each treatment. A de-novo assembly of all sequence reads was performed by Trinity assembler. Transcriptome assembly yielded 369,082 gene models and 554,155 isoforms. After running Trinotate pipeline, 65,047 (12 %) these transcripts matched an annotated product in at least one of the reference databases used (Uniprot, pfam, KEGG, COG). Additionally, 1,008 putative bacterial genes were annotated in the P. americana genome and ultimately excluded from these analyses. After bacteria decontamination, 553,147 assembled isoforms were used for transcript quantification and differential expression analysis using the DESeq2 pipeline. DESeq2 analysis detected 6,730 and 3,958 differentially expressed transcripts among the germ-free, gnotobiotic and conventionalized treatments in P. americana hindgut and midgut, respectively.
Project description:The gut microbiome is significantly altered in inflammatory bowel diseases, but the basis of these changes is not well understood. We have combined metagenomic and metatranscriptomic profiling of the gut microbiome to assess changes to both bacterial community structure and transcriptional activity in a mouse model of colitis. Gene families involved in microbial resistance to oxidative stress, including Dps/ferritin, Fe-dependent peroxidase and glutathione S-transferase, were transcriptionally up-regulated in colitis, implicating a role for increased oxygen tension in gut microbiota modulation. Transcriptional profiling of the host gut tissue and host RNA in the gut lumen revealed a marked increase in the transcription of genes with an activated macrophage and granulocyte signature, suggesting the involvement of these cell types in influencing microbial gene expression. Down-regulation of host glycosylation genes further supports a role for inflammation-driven changes to the gut niche that may impact the microbiome. We propose that members of the bacterial community react to inflammation-associated increased oxygen tension by inducing genes involved in oxidative stress resistance. Furthermore, correlated transcriptional responses between host glycosylation and bacterial glycan utilisation support a role for altered usage of host-derived carbohydrates in colitis. Complementary transcription profiling data from the mouse hosts have also been deposited at ArrayExpress under accession number E-MTAB-3590 ( http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-3590/ ).