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Mining gut microbiome oligopeptides by functional metaproteome display.

ABSTRACT: Pathogen infections, autoimmune diseases, and chronic inflammatory disorders are associated with systemic antibody responses from the host immune system. Disease-specific antibodies can be important serum biomarkers, but the identification of antigens associated with specific immune reactions is challenging, in particular if complex communities of microorganisms are involved in the disease progression. Despite promising new diagnostic opportunities, the discovery of these serological markers becomes more difficult with increasing complexity of microbial communities. In the present work, we used a metagenomic M13 phage display approach to select immunogenic oligopeptides from the gut microbiome of transgenic mice suffering from chronic ileitis. We constructed three individual metaproteome phage display libraries with a library size of approximately 10⁷ clones each. Using serum antibodies, we selected and validated three oligopeptides that induced specific antibody responses in the mouse model. This proof-of-concept study provides the first successful application of functional metaproteome display for the study of protein-protein interactions and the discovery of potential disease biomarkers.

SUBMITTER: Zantow J

PROVIDER: S-EPMC5050496 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

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Mining gut microbiome oligopeptides by functional metaproteome display.

Zantow Jonas J Just Sarah S Lagkouvardos Ilias I Kisling Sigrid S Dübel Stefan S Lepage Patricia P Clavel Thomas T Hust Michael M

Scientific reports 20161005

Pathogen infections, autoimmune diseases, and chronic inflammatory disorders are associated with systemic antibody responses from the host immune system. Disease-specific antibodies can be important serum biomarkers, but the identification of antigens associated with specific immune reactions is challenging, in particular if complex communities of microorganisms are involved in the disease progression. Despite promising new diagnostic opportunities, the discovery of these serological markers bec ...[more]

PMID: 27703179

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Project description:The animal gut microbiota consist of many different microorganisms, mainly bacteria, but archaea, fungi, protozoans, and viruses may also be present. This complex and dynamic community of microorganisms may change during parasitic infection. In the present study, we investigated the effect of the presence of microsporidians on the composition of the mosquito gut microbiota and linked some microbiome taxa and functionalities to infections caused by these parasites. We characterised bacterial communities of 188 mosquito females, of which 108 were positive for microsporidian DNA. To assess how bacterial communities change during microsporidian infection, microbiome structures were identified using 16S rRNA microbial profiling. In total, we identified 46 families and four higher taxa, of which Comamonadaceae, Enterobacteriaceae, Flavobacteriaceae and Pseudomonadaceae were the most abundant mosquito-associated bacterial families. Our data suggest that the mosquito gut microbial composition varies among host species. In addition, we found a correlation between the microbiome composition and the presence of microsporidians. The prediction of metagenome functional content from the 16S rRNA gene sequencing suggests that microsporidian infection is characterised by some bacterial species capable of specific metabolic functions, especially the biosynthesis of ansamycins and vancomycin antibiotics and the pentose phosphate pathway. Moreover, we detected a positive correlation between the presence of microsporidian DNA and bacteria belonging to Spiroplasmataceae and Leuconostocaceae, each represented by a single species, Spiroplasma sp. PL03 and Weissella cf. viridescens, respectively. Additionally, W. cf. viridescens was observed only in microsporidian-infected mosquitoes. More extensive research, including intensive and varied host sampling, as well as determination of metabolic activities based on quantitative methods, should be carried out to confirm our results.

Dataset Information

Mining gut microbiome oligopeptides by functional metaproteome display.

Publications

Mining gut microbiome oligopeptides by functional metaproteome display.

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