Showing papers by "Jeroen Raes published in 2013"

Richness of human gut microbiome correlates with metabolic markers

Abstract: We are facing a global metabolic health crisis provoked by an obesity epidemic. Here we report the human gut microbial composition in a population sample of 123 non-obese and 169 obese Danish individuals. We find two groups of individuals that differ by the number of gut microbial genes and thus gut bacterial richness. They contain known and previously unknown bacterial species at different proportions; individuals with a low bacterial richness (23% of the population) are characterized by more marked overall adiposity, insulin resistance and dyslipidaemia and a more pronounced inflammatory phenotype when compared with high bacterial richness individuals. The obese individuals among the lower bacterial richness group also gain more weight over time. Only a few bacterial species are sufficient to distinguish between individuals with high and low bacterial richness, and even between lean and obese participants. Our classifications based on variation in the gut microbiome identify subsets of individuals in the general white adult population who may be at increased risk of progressing to adiposity-associated co-morbidities.

Inflammation-associated enterotypes, host genotype, cage and inter-individual effects drive gut microbiota variation in common laboratory mice

Abstract: Background Murine models are a crucial component of gut microbiome research. Unfortunately, a multitude of genetic backgrounds and experimental setups, together with inter-individual variation, complicates cross-study comparisons and a global understanding of the mouse microbiota landscape. Here, we investigate the variability of the healthy mouse microbiota of five common lab mouse strains using 16S rDNA pyrosequencing.

A metagenomic insight into our gut's microbiome

Abstract: Advances in sequencing technology and the development of metagenomic and bioinformatics methods have opened up new ways to investigate the 10(14) microorganisms inhabiting the human gut. The gene composition of human gut microbiome in a large and deeply sequenced cohort highlighted an overall nonredundant genome size 150 times larger than the human genome. The in silico predictions based on metagenomic sequencing are now actively followed, compared and challenged using additional 'omics' technologies. Interactions between the microbiota and its host are of key interest in several pathologies and applying metaomics to describe the human gut microbiome will give a better understanding of this crucial crosstalk at mucosal interfaces. Adding to the growing appreciation of the importance of the microbiome is the discovery that numerous phages, that is, viruses of prokaryotes infecting bacteria (bacteriophages) or archaea with a high host specificity, inhabit the human gut and impact microbial activity. In addition, gene exchanges within the gut microbiota have proved to be more frequent than anticipated. Taken together, these innovative exploratory technologies are expected to unravel new information networks critical for gut homeostasis and human health. Among the challenges faced, the in vivo validation of these networks, together with their integration into the prediction and prognosis of disease, may require further working hypothesis and collaborative efforts.

Exploring nucleo-cytoplasmic large DNA viruses in Tara Oceans microbial metagenomes

Abstract: Nucleo-cytoplasmic large DNA viruses (NCLDVs) constitute a group of eukaryotic viruses that can have crucial ecological roles in the sea by accelerating the turnover of their unicellular hosts or by causing diseases in animals. To better characterize the diversity, abundance and biogeography of marine NCLDVs, we analyzed 17 metagenomes derived from microbial samples (0.2–1.6 μm size range) collected during the Tara Oceans Expedition. The sample set includes ecosystems under-represented in previous studies, such as the Arabian Sea oxygen minimum zone (OMZ) and Indian Ocean lagoons. By combining computationally derived relative abundance and direct prokaryote cell counts, the abundance of NCLDVs was found to be in the order of 104–105 genomes ml−1 for the samples from the photic zone and 102–103 genomes ml−1 for the OMZ. The Megaviridae and Phycodnaviridae dominated the NCLDV populations in the metagenomes, although most of the reads classified in these families showed large divergence from known viral genomes. Our taxon co-occurrence analysis revealed a potential association between viruses of the Megaviridae family and eukaryotes related to oomycetes. In support of this predicted association, we identified six cases of lateral gene transfer between Megaviridae and oomycetes. Our results suggest that marine NCLDVs probably outnumber eukaryotic organisms in the photic layer (per given water mass) and that metagenomic sequence analyses promise to shed new light on the biodiversity of marine viruses and their interactions with potential hosts.

Gut microbiota affects sensitivity to acute DSS-induced colitis independently of host genotype.

Abstract: Caspase-deficient mice and wild-type (WT) mice show significant differences in their gut microbiota composition. These differences coincide with the observation that caspase-3-deficient mice carrying a natural caspase-11 mutation (Casp3/11(-/-)) are less sensitive to acute dextran sodium sulfate-induced colitis than WT mice. For these reasons, we investigated the role of the microbiota in the development of colitis by cohousing WT and Casp3/11(-/-) mice. Microbial community fingerprinting by denaturing gradient gel electrophoresis analysis revealed that the similarities in gut microbial composition of WT and Casp3/11(-/-) mice increased after cohousing. In the acute dextran sodium sulfate-induced colitis model, Casp3/11(-/-) mice that were cohoused with WT mice showed increased weight loss and disease activity scores and increased neutrophil infiltration and inflammatory cytokine levels in their colon tissue compared with Casp3/11(-/-) mice that were not cohoused with WT mice. Also, we demonstrate that only the microbiota of the Casp3/11(-/-) mice cohoused with WT mice showed an important increase in Prevotella species. In conclusion, our cohousing experiments revealed that the colitogenic activity of the WT microbiota is transferable to Casp3/11(-/-) mice and that Prevotella species are likely to be involved. By contrast, the relative protection of Casp3/11(-/-) mice against dextran sodium sulfate damage is not transferred to WT mice after cohousing. These results underscore the need for in-depth studies of the bilateral interaction of host genes and microbiota to gain insight into the mechanisms of disease pathogenesis. Our findings also have important implications for the experimental design of disease studies in genetically modified mice and conclusions drawn from them.

Translating the human microbiome

Abstract: Nine experts discuss the challenges in translating current research on the human microbiome into strategies for disease prediction, diagnosis and therapy.

The chemical interactome space between the human host and the genetically defined gut metabotypes.

Abstract: The bacteria that colonize the gastrointestinal tracts of mammals represent a highly selected microbiome that has a profound influence on human physiology by shaping the host's metabolic and immune system activity Despite the recent advances on the biological principles that underlie microbial symbiosis in the gut of mammals, mechanistic understanding of the contributions of the gut microbiome and how variations in the metabotypes are linked to the host health are obscure Here, we mapped the entire metabolic potential of the gut microbiome based solely on metagenomics sequencing data derived from fecal samples of 124 Europeans (healthy, obese and with inflammatory bowel disease) Interestingly, three distinct clusters of individuals with high, medium and low metabolic potential were observed By illustrating these results in the context of bacterial population, we concluded that the abundance of the Prevotella genera is a key factor indicating a low metabolic potential These metagenome-based metabolic signatures were used to study the interaction networks between bacteria-specific metabolites and human proteins We found that thirty-three such metabolites interact with disease-relevant protein complexes several of which are highly expressed in cells and tissues involved in the signaling and shaping of the adaptive immune system and associated with squamous cell carcinoma and bladder cancer From this set of metabolites, eighteen are present in DrugBank providing evidence that we carry a natural pharmacy in our guts Furthermore, we established connections between the systemic effects of non-antibiotic drugs and the gut microbiome of relevance to drug side effects and health-care solutions

A combinatorial approach to the structure elucidation of a pyoverdine siderophore produced by a Pseudomonas putida isolate and the use of pyoverdine as a taxonomic marker for typing P. putida subspecies

Abstract: The structure of a pyoverdine produced by Pseudomonas putida, W15Oct28, was elucidated by combining mass spectrometric methods and bioinformatics by the analysis of non-ribosomal peptide synthetase genes present in the newly sequenced genome The only form of pyoverdine produced by P putida W15Oct28 is characterized to contain α-ketoglutaric acid as acyl side chain, a dihydropyoverdine chromophore, and a 12 amino acid peptide chain The peptide chain is unique among all pyoverdines produced by Pseudomonas subspecies strains It was characterized as –l-Asp-l-Ala-d-AOHOrn-l-Thr-Gly-c[l-Thr(O-)-l-Hse-d-Hya-l-Ser-l-Orn-l-Hse-l-Ser-O-] The chemical formula and the detected and calculated molecular weight of this pyoverdine are: C65H93N17O32, detected mass 16246404 Da, calculated mass 16246245 Additionally, pyoverdine structures from both literature reports and bioinformatics prediction of the genome sequenced P putida strains are summarized allowing us to propose a scheme based on pyoverdines structures as tool for the phylogeny of P putida This study shows the strength of the combination of in silico analysis together with analytical data and literature mining in determining the structure of secondary metabolites such as peptidic siderophores