Impact of commensal microbiota on murine gastrointestinal tract gene ontologies

David M. Mutch, Rainer Simmering, Dominique Donnicola, Grigorios Fotopoulos, James A. Holzwarth, Gary Williamson, Irène Corthésy-Theulaz

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29 Citations (Scopus)


The gastrointestinal tract (GIT) of eukaryotes is colonized by a vast number of bacteria, where the commensal microbiota play an important role in defining the healthy gut. To investigate the influence of commensal bacteria on multiple regions of the host GIT transcriptome, the gene expression profiles of the corpus, jejunum, descending colon, and rectum of conventional (n = 3) and germ-free mice (n = 3) were examined using the Affymetrix Mu74Av2 GeneChip. Differentially regulated genes were identified using the global error assessment model, and a novel method of Gene Ontology (GO) clustering was used to identify significantly modulated biological functions. The microbiota modify the greatest number of genes in the jejunum (267 genes with an α < 0.001) and the fewest in the rectum (137 genes with an α < 0.001). Clustering genes by GO biological process and molecular function annotations revealed that, despite the large number of differentially regulated genes, the residential microbiota most significantly modified genes involved in such biological processes as immune function and water transport all along the length of the mouse GIT. Additionally, region-specific communication between the host and microbiota were identified in the corpus and jejunum, where tissue kallikrein and apoptosis regulator activities were modulated, respectively. These findings identify important interactions between the microbiota and the mouse gut tissue transcriptome and, furthermore, suggest that interactions between the microbial population and host GIT are implicated in the coordination of region-specific functions.

Original languageEnglish
Pages (from-to)22-31
Number of pages10
JournalPhysiological Genomics
Publication statusPublished - 1 Jan 2005
Externally publishedYes


  • Axenic
  • Gene ontology
  • Germ-free
  • Microarray

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